diff --git a/auto_search_corrected/PAM_scores.pkl b/auto_search_corrected/PAM_scores.pkl deleted file mode 100644 index 28b9ed6..0000000 --- a/auto_search_corrected/PAM_scores.pkl +++ /dev/null @@ -1,51 +0,0 @@ -(dp0 -S'AA' -p1 -F0.0 -sS'AC' -p2 -F0.0 -sS'GT' -p3 -F0.016129031999999998 -sS'AG' -p4 -F0.25925925899999996 -sS'CC' -p5 -F0.0 -sS'CA' -p6 -F0.0 -sS'CG' -p7 -F0.107142857 -sS'TT' -p8 -F0.0 -sS'GG' -p9 -F1.0 -sS'GC' -p10 -F0.022222222000000003 -sS'AT' -p11 -F0.0 -sS'GA' -p12 -F0.06944444400000001 -sS'TG' -p13 -F0.038961038999999996 -sS'TA' -p14 -F0.0 -sS'TC' -p15 -F0.0 -sS'CT' -p16 -F0.0 -s. - diff --git a/auto_search_corrected/adjust_cols.py b/auto_search_corrected/adjust_cols.py deleted file mode 100644 index 050d37d..0000000 --- a/auto_search_corrected/adjust_cols.py +++ /dev/null @@ -1,31 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -""" -Created on Thu Jun 25 12:40:01 2020 - -@author: francesco -""" - -import pandas as pd -import sys -import time -import os - -inFile = sys.argv[1] - -start = time.time() -df = pd.read_csv(inFile, sep='\t') -cols = df.columns.tolist() -cols.remove('CFD') -cols.remove('CFD_ref') -cols.remove('Reference') -try: - cols.remove('Chromosome_fake') -except: - pass -good_cols = cols[0:3] + ['Reference'] + cols[3:] + ['CFD', 'CFD_ref'] -df = df[good_cols] -df.to_csv(inFile+'.tmp', index=False, sep='\t') -os.system('mv '+inFile+'.tmp'+" "+inFile) - -print('Results adjusted in: '+str(time.time()-start)) \ No newline at end of file diff --git a/auto_search_corrected/analisi_indels_NNN.py b/auto_search_corrected/analisi_indels_NNN.py deleted file mode 100644 index a8fb56c..0000000 --- a/auto_search_corrected/analisi_indels_NNN.py +++ /dev/null @@ -1,1041 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -""" -Created on Wed Jul 22 19:55:54 2020 - -@author: francesco -""" - -''' -Calcolo semi bruteforce dei sample. -Per ogni target, se è un nuovo cluster, salva il cluster precedente, poi calcola le possibili scomposizioni esistenti, e passa al prossimo target. -Se stesso cluster: se il target è di una categoria già analizzata (X0, DNA1, DNA2 ... RNA1,RNA2 ... dove il numero indica i bulges presenti), usa -i dati della scomposizione già effettuata per evitare il ricalcolo della scomposizione. -Se invece la categoria non è stata già analizzata, fa una scomposizione completa (come il top1), e salva i dati per i prossimi target - -#TODO parallelizzare l'analisi -#NOTE da verificare se è compatibile com pam all'inizio -Added compatibility with dictionary chr_pos -> s1,s2;A,C/sNew;A,T -''' - -#argv1 è il file .bed con le annotazioni -#argv2 è il file .cluster.txt, che è ordinato per cromosoma. Era (03/03) il file top1 ordinato per chr -#argv3 è nome del file in output -#argv4 è directory dei dizionari -#argv5 is pamfile -#argv 6 is max allowed mms -#argv 7 is genome reference directory (Eg ../../Genomes/hg38_ref) -#argv8 is guide file -#argv9 is max allowed DNA bulges -#argv10 is max allowed RNA bulges -#argv11 is absolute path of sample file to load dictionary sample -> pop -# NOTE 06/03 -> removed PAM Disruption calculation -#NOTE 29/03 -> le colonne min max sono rimosse, dal file total.cluster sono già presenti colonne sample, annotation, real guide -# 29/03 colonne in input #Bulge_type crRNA DNA Chromosome Position Cluster Position Direction Mismatches Bulge_Size Total PAM_gen Var_uniq Samples Annotation Type Real Guide -#NOTE1 can happend that a iupac falls under the N char of NGG, meaning that a target can have the same number of mms both in his REF and VAR part: -#CACTGCAACCTCTGTCTCCCKGG -#CACTGCAACCTCTGTCTCCCGGG REF -#CACTGCAACCTCTGTCTCCCTGG VAR -#So check if decrease_ref_count is not empty to avoid this (in this case +1 will be added to samples for VAR part of target and +1 for all the -# other samples for REF part) - -import warnings -warnings.filterwarnings("ignore", category=FutureWarning) -warnings.filterwarnings('ignore',category=UserWarning) -import sys -import json -import time -import itertools -import os -from intervaltree import Interval, IntervalTree -import concurrent.futures -import subprocess -import pandas as pd -import pickle #to read CFD matrices -import numpy as np -import azimuth.model_comparison -import string -import multiprocessing -import re -from supportFunctions.loadSample import associateSample -SIZE_DOENCH = 10000 -N_THR = 3 - -#Return max doench value among list of extended targets -def doenchParallel(targets, model, result): - doench_score = azimuth.model_comparison.predict(targets,None, None, model= model, pam_audit=False) - doench_score = [np.around(i * 100) for i in doench_score] - max_doench = int(max(doench_score)) - result.append(max_doench) - -def doenchForIupac(sequence_doench, guide_seq, genome_type): - pos_iupac = [] - var = [] - for pos, c in enumerate(sequence_doench): - if c in iupac_code: - pos_iupac.append(pos) - var.append(iupac_code[c]) - - if var: - for i in itertools.product(*var): - t = list(sequence_doench) - for p, el in enumerate(pos_iupac): - t[el] = i[p] - targets_for_doench[guide_seq][genome_type].append(''.join(t)) - else: - targets_for_doench[guide_seq][genome_type].append(sequence_doench) - -def get_mm_pam_scores(): - try: - mm_scores = pickle.load(open(os.path.dirname(os.path.realpath(__file__)) + '/mismatch_score.pkl', 'rb')) - pam_scores = pickle.load(open(os.path.dirname(os.path.realpath(__file__)) +'/PAM_scores.pkl', 'rb')) - return (mm_scores, pam_scores) - except: - raise Exception("Could not find file with mismatch scores or PAM scores") - - -def revcom(s): - basecomp = {'A': 'T', 'C': 'G', 'G': 'C', 'T': 'A', 'U': 'A', '-':'-'} - letters = list(s[::-1]) - try: - letters = [basecomp[base] for base in letters] - except: - return None #If some IUPAC were not translated - return ''.join(letters) - -# Calculates CFD score -def calc_cfd(guide_seq, sg, pam, mm_scores, pam_scores): - score = 1 - sg = sg.replace('T', 'U') - guide_seq = guide_seq.replace('T', 'U') - s_list = list(sg) - guide_seq_list = list(guide_seq) - - for i, sl in enumerate(s_list): - if guide_seq_list[i] == sl: - score *= 1 - else: - try: #Catch exception if IUPAC character - key = 'r' + guide_seq_list[i] + ':d' + revcom(sl) + ',' + str(i + 1) - #print(key) - except Exception as e: - score = 0 - break - try: - if 'N' == sl: - score *= 1 - else: - score *= mm_scores[key] - except Exception as e : #If '-' is in first position, i do not have the score for that position - pass - #print(pam) - if 'N' in pam: - score *= 1 - else: - score *= pam_scores[pam] - return score - -class reversor: - ''' - Nel caso debba ordinare più campi però con reverse diversi, eg uno True e l'altro False, posso usare questa classe nella chiave per - simulare il contrario del reverse applicato - ''' - def __init__(self, obj): - self.obj = obj - - def __eq__(self, other): - return other.obj == self.obj - - def __lt__(self, other): - return other.obj < self.obj - - -def convert_fasta_to_dict(f): - fasta = {} - with open(f) as file_one: - for line in file_one: - line = line.strip() - if not line: - continue - if line.startswith(">"): - active_sequence_name = line[1:] - if active_sequence_name not in fasta: - fasta[active_sequence_name] = '' - continue - sequence = line - fasta[active_sequence_name] = sequence - return fasta - -def alignRefFromVar(line, dict_ref_seq):#chr_fake, start_pos, len_guide, bulge): - t = line.copy() - #chr_fake = t[10].split('_') - len_guide = len(t[2]) - start_pos = int(t[4]) - true_chr = t[3] - good_chr_fake = true_chr+':'+str(start_pos)+'-'+str(start_pos+len_guide) - sequence = dict_ref_seq[good_chr_fake].upper() #file_fasta.readline().strip().upper() - if t[6] == '-': - target = t[2][::-1] - else: - target = t[2] - if t[0] == "RNA": - tmp_gap_position = [g.start() for g in re.finditer('-', target)] - sequence = list(sequence) - for tmp_g_p in tmp_gap_position: - sequence.insert(tmp_g_p, '-') - if t[6] == '+': - sequence = sequence[0:len_guide] - else: - sequence = reverse_complement_table(''.join(sequence)) - sequence = sequence[len(tmp_gap_position):] - elif t[6] == '-': - sequence = reverse_complement_table(sequence) - guide_no_pam = t[1][pos_beg:pos_end] - list_t = list(sequence) - for position_t, char_t in enumerate(sequence[pos_beg:pos_end]): - if char_t.upper() != guide_no_pam[position_t]: - if guide_no_pam[position_t] != '-': - list_t[sum_for_mms + position_t] = char_t.lower() - sequence = ''.join(list_t) - t[2] = sequence - if t[0] == 'DNA': - cfd_score = calc_cfd(t[1][int(line[bulge_pos]):], t[2].upper()[int(t[bulge_pos]):-3], t[2].upper()[-2:], mm_scores, pam_scores) - cfd = str(cfd_score) - else: - cfd_score = calc_cfd(t[1], t[2].upper()[:-3], t[2].upper()[-2:], mm_scores, pam_scores) - cfd = str(cfd_score) - return [sequence, cfd] - - -''' -def alignRefFromVar(line):#chr_fake, start_pos, len_guide, bulge): - t = line.copy() - chr_fake = t[10] - len_guide = len(t[1]) - start_pos = int(t[5]) - true_chr = t[3] - file_bed = open(true_chr+"_tmp_fake.bed", 'w') - #file_bed.write("CHROM\tSTART\tEND\n") - file_bed.write(true_chr+"\t"+str(start_pos)+"\t"+str(start_pos+len_guide)+"\n") - file_bed.close() - os.system("bedtools getfasta -fi "+sys.argv[7]+"/"+true_chr+".fa -bed "+true_chr+"_tmp_fake.bed -fo "+true_chr+".true.fa") - file_fasta = open(true_chr+".true.fa", 'r') - header = file_fasta.readline() - sequence = file_fasta.readline().strip().upper() - if t[6] == '-': - sequence = reverse_complement_table(sequence) - file_fasta.close() - if t[0] == "RNA": - tmp_gap_position = [g.start() for g in re.finditer('-', t[2])] - sequence = list(sequence) - for tmp_g_p in tmp_gap_position: - sequence.insert(tmp_g_p, '-') - sequence = ''.join(sequence[0:len_guide]) - guide_no_pam = t[1][pos_beg:pos_end] - list_t = list(sequence) - for position_t, char_t in enumerate(sequence[pos_beg:pos_end]): - if char_t.upper() != guide_no_pam[position_t]: - if guide_no_pam[position_t] != '-': - list_t[sum_for_mms + position_t] = char_t.lower() - sequence = ''.join(list_t) - t[2] = sequence - if t[0] == 'DNA': - cfd_score = calc_cfd(t[1][int(line[bulge_pos]):], t[2].upper()[int(t[bulge_pos]):-3], t[2].upper()[-2:], mm_scores, pam_scores) - cfd = str(cfd_score) - else: - cfd_score = calc_cfd(t[1], t[2].upper()[:-3], t[2].upper()[-2:], mm_scores, pam_scores) - cfd = str(cfd_score) - os.system("rm "+true_chr+"_tmp_fake.bed") - os.system("rm "+true_chr+".true.fa") - return [sequence, cfd] -''' - -print('ESECUZIONE DI ANNOTATION E CALC SAMPLE INSIEME') -print('TEST PER ANNOTAZIONE COMPLETA: I TARGET SENZA ANNOTAZIONE SONO SALVATI COME \"n\"') -print('SE UN TARGET HA 1+ ANNOTAZIONI, LE SALVA IN SINGOLA UNICA RIGA') -print('RIMOZIONE DEI TARGET CHE NON HANNO SAMPLES') -print('CALCOLO SCORES') -print('SOSTITUZIONE IUPAC DI TUTTI I TARGET CON CHAR DEL TOP1SCOMPOSTO') -print("READING INPUT FILES") -#Dictionaries for annotating samples - -#Dict for populations -# pop_file = pd.read_excel(os.path.dirname(os.path.realpath(__file__)) + '/20130606_sample_info.xlsx') -# all_samples = pop_file.Sample.to_list() -# all_pop = pop_file.Population.to_list() -# dict_sample_to_pop = dict() -# for pos, i in enumerate(all_samples): -# try: -# dict_sample_to_pop[i] = all_pop[pos] #{'S1':'POP1', 'S2':'POP1', ...} -# except: -# dict_sample_to_pop[i] = all_pop[pos] - -# #Dict for superpopulation -# dict_pop_to_sup = {'CHB':'EAS', 'JPT':'EAS', 'CHS':'EAS', 'CDX':'EAS', 'KHV':'EAS', -# 'CEU':'EUR', 'TSI':'EUR', 'FIN':'EUR', 'GBR':'EUR', 'IBS':'EUR', -# 'YRI':'AFR', 'LWK':'AFR', 'GWD':'AFR', 'MSL':'AFR', 'ESN':'AFR', 'ASW':'AFR', 'ACB':'AFR', -# 'MXL':'AMR', 'PUR':'AMR', 'CLM':'AMR', 'PEL':'AMR', -# 'GIH':'SAS', 'PJL':'SAS', 'BEB':'SAS', 'STU':'SAS', 'ITU':'SAS' -# } -# superpopulation = ['EAS', 'EUR', 'AFR', 'AMR','SAS'] - -#dict_sample_to_pop, dict_pop_to_sup, dict_superpop_to_pop, dict_pop_to_sample, all_samples, all_pop, superpopulation, gender_sample = associateSample.loadSampleAssociation(sys.argv[11]) - -#READ INPUT FILES -annotationFile = sys.argv[1] #file with annotation -resultsFile = sys.argv[2] #file with results from search -outputFile = sys.argv[3] #file with annotated results - -#Get pam and guide length for new count mismatch samples -pam_at_beginning = False -with open (sys.argv[5]) as pam: - line = pam.read().strip() - pam = line.split(' ')[0] - len_pam = int(line.split(' ')[1]) - guide_len = len(pam) - len_pam - pos_beg = 0 - pos_end = None - pam_begin = 0 - pam_end = len_pam * (-1) - if len_pam < 0: - guide_len = len(pam) + len_pam - pam = pam[: (len_pam * (-1))] - len_pam = len_pam * (-1) - pos_beg = len_pam - pos_end = None - pam_begin = 0 - pam_end = len_pam - pam_at_beginning = True - else: - pam = pam[(len_pam * (-1)):] - pos_beg = 0 - pos_end = len_pam * (-1) - pam_begin = len_pam * (-1) - pam_end = None - -do_scores = True -if guide_len != 20: - with open(outputFile + '.acfd.txt', 'w+') as result: - result.write('NO SCORES') - do_scores = False - -iupac_code_set = { - "R":{"A", "G"}, - "Y":{"C", "T"}, - "S":{"G", "C"}, - "W":{"A", "T"}, - "K":{"G", "T"}, - "M":{"A", "C"}, - "B":{"C", "G", "T"}, - "D":{"A", "G", "T"}, - "H":{"A", "C", "T"}, - "V":{"A", "C", "G"}, - "r":{"A", "G"}, - "y":{"C", "T"}, - "s":{"G", "C"}, - "w":{"A", "T"}, - "k":{"G", "T"}, - "m":{"A", "C"}, - "b":{"C", "G", "T"}, - "d":{"A", "G", "T"}, - "h":{"A", "C", "T"}, - "v":{"A", "C", "G"}, - "A":{"A"}, - "T":{"T"}, - "C":{"C"}, - "G":{"G"}, - "a":{"a"}, - "t":{"t"}, - "c":{"c"}, - "g":{"g"}, - 'N':{'A','T','G','C'} - } - - -#OPEN INPUT FILES AND PREPARE OUTPUT FILE -inResult = open(resultsFile, "r") # resultfile open -inAnnotationFile = open(annotationFile, "r") # file with annotations open -# outFileSampleAll = open(outputFile + '.samples.all.annotation.txt', 'w') # outfile open (file with IUPAC targets and associated samples and annotation) - -count_removed_target = 0 -process = subprocess.Popen(['wc', '-l', resultsFile], stdout=subprocess.PIPE, stderr=subprocess.PIPE) -out, err = process.communicate() -total_line = int(out.decode('UTF-8').split(' ')[0]) -if total_line < 1: - print('WARNING! Input file has no targets') - sys.exit() -if total_line < 10: - mod_tot_line = 1 -else: - mod_tot_line = int(total_line/10) -#VARIABLE INIT -guideDict = {} -totalDict = {} - -start_time = time.time() - -print("EXECUTING PRELIMINARY OPERATIONS") - -annotationsTree = IntervalTree() -annotationsSet = set() -#guidesSet = set() #NOTE/BUG if guide finds 0 targets, it will not be annotated - -for line in inAnnotationFile: - x = line.split('\t') - x[3] = str(x[3]).rstrip("\n") - annotationsTree[int(x[1]):int(x[2])] = str(x[0])+'\t'+str(x[3]) - annotationsSet.add(str(x[3])) - -totalDict['targets'] = [0]*10 -for item in annotationsSet: - totalDict[item] = [0]*10 - -print("PRELIMINARY OPERATIONS COMPLETED IN: %s seconds" % (time.time() - start_time)) - -start_time = time.time() - -print("EXECUTING ANNOTATION") - -with open(resultsFile, 'r') as resFile: - header_len = len(resFile.readline().strip().split('\t')) - -# if header_len == 15: #'Both' case : comparison variant/ref is active -#header = '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster Position\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tVar_uniq\tSamples\tAnnotation Type\tReal Guide' -header = '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster_Position\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tVar_uniq\tSamples\tAnnotation_Type\tReal_Guide\trsID\tAF\tSNP\t#Seq_in_cluster\tReference' - - -mm_pos = 7 #position of mismatch column -bulge_pos = 8 -max_dna_bulges = int(sys.argv[9]) -max_rna_bulges = int(sys.argv[10]) -max_bulges = max_dna_bulges -if max_rna_bulges > max_bulges: - max_bulges = max_rna_bulges - -blank_add_begin = ' ' #Needed for replacing IUPAC in cluster targets -blank_add_end = '' -pam_multiplier = 1 -pam_multiplier_negative = 0 -start_sample_for_cluster = 0 -cluster_step = 1 #If PAM end, go left to right -sum_for_mms = 0 #when updatig lowercase for nem_mm, this value represents the offset for the pam position (mainly needed only if pam at beginning) -end_sample_for_cluster = max_dna_bulges + max_rna_bulges #Values to check new iupac when working on cluster targets -if pam_at_beginning: - blank_add_begin = '' - blank_add_end = ' ' - pam_multiplier = 0 #Since ' ' are at end, and '-' to reinsert are before the ' ', need to put max_dna_bulges and rna_bulges of target to 0 - pam_multiplier_negative = 1 - end_sample_for_cluster = len_pam + guide_len - max_rna_bulges #For PAM at beginning, start from last nucleotide and go to left - start_sample_for_cluster = len_pam + guide_len + max_dna_bulges - cluster_step = -1 #If PAM beginning, go right to left - sum_for_mms = len_pam -# outFileSampleAll.write(header + '\n') -summary_samples = True - -header_list = header.strip().split('\t') -#Variables for summary samples code -''' -{ - GUIDE1 -> { - SAMPLE/POP/SUPERPOP1 ->{ - targets -> [0 0 0 0 0 0 0 0 0], - ann1 -> [0 0 0 0 0 0 0 0 0], - ann2 -> [0 0 0 0 0 0 0 0 0], - }, - SAMPLE/POP/SUPERPOP2 ->{ - targets -> [0 0 0 0 0 0 0 0 0], - ann1 -> [0 0 0 0 0 0 0 0 0], - ann2 -> [0 0 0 0 0 0 0 0 0], - } - } - GUIDE2 -> { - SAMPLE/POP/SUPERPOP1 ->{ - targets -> [0 0 0 0 0 0 0 0 0], - ann1 -> [0 0 0 0 0 0 0 0 0], - ann2 -> [0 0 0 0 0 0 0 0 0], - }, - SAMPLE/POP/SUPERPOP2 ->{ - targets -> [0 0 0 0 0 0 0 0 0], - ann1 -> [0 0 0 0 0 0 0 0 0], - ann2 -> [0 0 0 0 0 0 0 0 0], - } - } -} - -Per pop e superpop, se ho due sample stessa famiglia stesso target, conto solo una volta (visited_pop and visited_superpop array) -''' -count_sample = dict() #NOTE cout_sample -> GUIDE -> SAMPLE -> has targets + ann1 + ann2 ... + refposition - #refposition is a key unrelated to the other keys (targets ann1 ann2 ...) and it's used to classify the sample (0 0+ 1 1+). - #it's put in here just to avoid to duplicate the entire guide -> sample -> structure - # refposition -> [class , number of specific VAR on target to add/remove] #Save class (0 at start) and number of ontarget var specific - #for that sample. -ontarget_reference_count = dict() #Count number of REF target and REF part of semicommon -count_pop = dict() -count_superpop = dict() #NOTE added key 'distributions' for population distribution images - #count_superpop-> GUIDE -> SUPERPOP -> targets ann1 ann2 ... distributions - # distributions is an array of len mms+bulge, each position contains an array [0,0,0] of len bulge+1 (indicating no bulge, 1 bulge, 2bulge ...) - -#Create -Summary_total for a file ref.Annotation.summary.txt from the y and n values of Var_uniq column -summary_barplot_from_total = False -if 'Var_uniq' in header: - summary_barplot_from_total = True - vu_pos = header_list.index('Var_uniq') -count_unique = dict() -count_unique['targets'] = [0]*10 -count_unique_for_guide = dict() -for item in annotationsSet: - count_unique[item] = [0]*10 - -#Variables for samples calculation -total_error = 0 - - -current_chr = 'none' -chr_name = 'none' - -def rev_comp(a): - if a == 'A' or a == 'a': - return 'T' - if a == 'T' or a == 't': - return 'A' - if a == 'C' or a == 'c': - return 'G' - return 'C' - -iupac_code = { - "R":("A", "G"), - "Y":("C", "T"), - "S":("G", "C"), - "W":("A", "T"), - "K":("G", "T"), - "M":("A", "C"), - "B":("C", "G", "T"), - "D":("A", "G", "T"), - "H":("A", "C", "T"), - "V":("A", "C", "G"), - "r":("A", "G"), - "y":("C", "T"), - "s":("G", "C"), - "w":("A", "T"), - "k":("G", "T"), - "m":("A", "C"), - "b":("C", "G", "T"), - "d":("A", "G", "T"), - "h":("A", "C", "T"), - "v":("A", "C", "G"), - 'N':('A', 'T', 'C', 'G') - } - -#For scoring of CFD And Doench -tab = str.maketrans("ACTGRYSWMKHDBVactgryswmkhdbv", "TGACYRSWKMDHVBtgacyrswkmdhvb") - -def reverse_complement_table(seq): - return seq.translate(tab)[::-1] - -mm_scores, pam_scores = get_mm_pam_scores() -guides_dict = dict() #For CFD score -guides_dict_doench = dict() -targets_for_doench = dict() - -N_THR = multiprocessing.cpu_count() // 2 -refgenomedir = sys.argv[7] - -with open( os.path.dirname(os.path.realpath(__file__)) + "/azimuth/saved_models/V3_model_nopos.pickle", 'rb') as f: - model = pickle.load(f) -max_doench = 0 -sum_cfd = 0 -cfd_scores = [] - - -start_time_total = time.time() -lines_processed = 0 -allowed_mms = int(sys.argv[6]) -current_guide_chr_pos_direction = 'no' -cfd_best = open(outputFile + '.bestCFD.txt', 'w+') -cfd_best.write(header + '\tCFD\n') #Write header - -cfd_alt = open(outputFile + '.altCFD.txt', 'w+') -cfd_alt.write(header + '\tCFD\n') #Write header - -mmblg_best = open(outputFile + '.bestmmblg.txt', 'w+') -mmblg_best.write(header + '\tCFD\n') #Write header - -mmblg_alt = open(outputFile + '.altmmblg.txt', 'w+') -mmblg_alt.write(header + '\tCFD\n') #Write header - -save_cluster_targets = True -remove_iupac = False -save_total_general_table = False -add_to_general_table = dict() #chiave ['add'] = target semicommon da aggiungere alla tab generale delle guide, metto i valori di total presi dal primo target REF nel cluster di un semicommon che esiste - #chiave ['distribution'] = array len total, ogni cella divisa per mm,1B,2B..., per populationDistribution -last_annotation = '' #in un cluster, l'annotazione è la stessa, quindi la calcolo solo una volta e poi la riscrivo per gli altri target del cluster -last_samples = [] #se due target hanno la stessa scomposizione, hanno gli stessi samples, quindi non li ricalcolo -next(inResult) #Skip header -cluster_to_save = [] #contains all targets for each cluster, it's then sorted by CFD. Only the target with highest CFD is saved -cfd_for_graph = {'ref':[0]*101, 'var':[0]*101} #sum number times a cfd value appears, TODO aggiungere anche il conteggio per ogni sample - -dictionary_entries = ['X0'] #Categorie per la scomposizione, chiavi: 'BulgeType' + 'BulgeSize' -for i in range(int(max_dna_bulges)): - dictionary_entries.append('DNA' + str(i+1)) -for i in range(int(max_rna_bulges)): - dictionary_entries.append('RNA' + str(i+1)) - - -dict_ref_seq = convert_fasta_to_dict(sys.argv[12]) - -cluster_class = None -datastore = None - - -global_start = time.time() - -for line in inResult: - line = line.strip().split('\t') - # print(line) - guide_no_bulge = line[1].replace('-','') - activate_cluster_scomposition = False #se ho iupac in posizioni che non c'erano nel top1, fai la scomposizione completa - if (guide_no_bulge + line[3] + line[5] + line[6]) == current_guide_chr_pos_direction: #In current cluster - if cluster_class[line[0] + line[8]] is None: - activate_cluster_scomposition = True - if activate_cluster_scomposition: - final_result = line.copy() - var = False - if line[10] != "n": - a = datastore[line[10]] - var = True - final_result[13] = a['SAMPLES'] - final_result[16] = a['rsID'] - final_result[17] = str(a['AF']) - final_result[18] = a['indel'] - - t = final_result[2] - mm_new_t = 0 - tmp_pos_mms = None #lista posizione dei mms - guide_no_pam = line[1][pos_beg:pos_end] - list_t = list(t) - for position_t, char_t in enumerate(t[pos_beg:pos_end]): - if char_t.upper() != guide_no_pam[position_t]: - mm_new_t += 1 - tmp_pos_mms = position_t - if guide_no_pam[position_t] != '-': - list_t[sum_for_mms + position_t] = char_t.lower() - final_result[2] = ''.join(list_t)#t - if tmp_pos_mms: - final_result.append(int(tmp_pos_mms)) - else: #NO mms found - final_result.append(-1) - - final_result[14] = last_annotation - - if not var: - final_result[13] = "n" #last_samples - final_result[16] = "n"#last_IDs - final_result[17] = "n"#last_AF - final_result[18] = "n"#last_INDpos - - last_samples = final_result[13] - last_IDs = final_result[16] - last_AF = final_result[17] - last_INDpos = final_result[18] - - cluster_to_save.append(final_result) - - clusterkey = line[0] + line[8] - cluster_class[clusterkey] = dict() - #cluster_class[clusterkey]['poscharforcluster'] = pos_char_for_cluster - cluster_class[clusterkey]['lastsamples'] = last_samples - cluster_class[clusterkey]['lastID'] = last_IDs #ID - cluster_class[clusterkey]['lastAF'] = last_AF #AF (come last_samples) - cluster_class[clusterkey]['lastINDpos'] = last_INDpos - #cluster_class[clusterkey]['ref_pos_alignement'] = ref_pos_alignement - #cluster_class[clusterkey]['lastHaplotype'] = last_haplotype - - else: - #Use previous scompositions to create possible scomposition in cluster - clusterkey = line[0] + line[8] - #pos_char_for_cluster = cluster_class[clusterkey]['poscharforcluster'] - last_samples = cluster_class[clusterkey]['lastsamples'] - last_IDs = cluster_class[clusterkey]['lastID'] - last_AF = cluster_class[clusterkey]['lastAF'] - last_INDpos = cluster_class[clusterkey]['lastINDpos'] - #last_haplotype = cluster_class[clusterkey]['lastHaplotype'] - t = line[2] - #if line[6] == '-': - # t = t[::-1] - mm_new_t = 0 - tmp_pos_mms = None #lista posizione dei mms - guide_no_pam = line[1][pos_beg:pos_end] - list_t = list(t) - for position_t, char_t in enumerate(t[pos_beg:pos_end]): - if char_t.upper() != guide_no_pam[position_t]: - mm_new_t += 1 - tmp_pos_mms = position_t - if guide_no_pam[position_t] != '-': - list_t[sum_for_mms + position_t] = char_t.lower() - line[2] = ''.join(list_t)#t - if tmp_pos_mms: - line.append(int(tmp_pos_mms)) - else: #NO mms found - line.append(-1) - - line[13] = last_samples - line[14] = last_annotation - line[16] = last_IDs - line[17] = last_AF - line[18] = last_INDpos - - cluster_to_save.append(line) - else: #New cluster - #New cluster, order previous by CFD, and save the highest CFD - - # check_position = 0 - - #Calcolo lo score per ogni target nel cluster - #print(len(cluster_to_save)) - for t in cluster_to_save: - - if t[0] == 'DNA': - cfd_score = calc_cfd(t[1][int(t[bulge_pos]):], t[2].upper()[int(t[bulge_pos]):-3], t[2].upper()[-2:], mm_scores, pam_scores) - t.append(str(cfd_score)) - else: - cfd_score = calc_cfd(t[1], t[2].upper()[:-3], t[2].upper()[-2:], mm_scores, pam_scores) - t.append(str(cfd_score)) - - cluster_to_save.sort(key = lambda x : (float(x[-1]), reversor(int(x[9])), reversor(int(x[-2]))), reverse = True) - cluster_to_save_mmbl = cluster_to_save.copy() - cluster_to_save_mmbl.sort(key = lambda x : (int(x[8]), int(x[7]))) - - keys_seen = [] - saved = False - if cluster_to_save: - c = cluster_to_save[0] - - c.pop(-2) - #best_seq = c[12] - cfd_clus_key = c[3] + " " + c[5] + " " + c[6] + " " + c[-2] - #print("KEY ORIGINALE", cfd_clus_key) - if c[13] == 'n': - cfd_for_graph['ref'][round(float(c[-1]) * 100)] += 1 - cfd_best.write('\t'.join(c)+'\tn\t'+str(c[-1])) - else: - cfd_for_graph['var'][round(float(c[-1]) * 100)] += 1 - ref_generated = alignRefFromVar(c, dict_ref_seq)#, cluster_class[c[0] + c[8]]['ref_pos_alignement']) - ref_this_clus = ref_generated[0] - cfd_ref = ref_generated[1] - reference_pam = ref_this_clus[pam_begin:pam_end] - found_creation = False - for pos_pam_ref, pam_char_ref in enumerate(reference_pam): - if not iupac_code_set[pam[pos_pam_ref]] & iupac_code_set[pam_char_ref]: #ref char not in set of general pam char - found_creation = True - if found_creation: - c[11] = c[2][pam_begin:pam_end] - #print(c, ref_this_clus, cfd_ref) - cfd_best.write('\t'.join(c)+'\t'+ref_this_clus+'\t'+str(cfd_ref)) - cluster_to_save.pop(0) - keys_seen.append(cfd_clus_key) - saved = True - - list_for_alt = [] - for c in cluster_to_save: - c.pop(-2) - #print(c[3], c[5], c[6], c[-2]) - new_cfd_clus_key = c[3] + " " + c[5] + " " + c[6] + " " + c[-2] - #print("POSSIBLE NEW KEY", new_cfd_clus_key) - if new_cfd_clus_key not in keys_seen: - keys_seen.append(new_cfd_clus_key) - if c[13] == 'n': - cfd_for_graph['ref'][round(float(c[-1]) * 100)] += 1 - #cfd_alt.write('\t'.join(c)+'\tn\n') - list_for_alt.append('\t'.join(c)+'\tn\t'+str(c[-1])) - else: - cfd_for_graph['var'][round(float(c[-1]) * 100)] += 1 - #cfd_alt.write('\t'.join(c)+'\t'+ref_this_clus+'\n') - ref_generated = alignRefFromVar(c, dict_ref_seq)#, cluster_class[c[0] + c[8]]['ref_pos_alignement']) - ref_this_clus = ref_generated[0] - reference_pam = ref_this_clus[pam_begin:pam_end] - cfd_ref = ref_generated[1] - found_creation = False - for pos_pam_ref, pam_char_ref in enumerate(reference_pam): - if not iupac_code_set[pam[pos_pam_ref]] & iupac_code_set[pam_char_ref]: #ref char not in set of general pam char - found_creation = True - if found_creation: - c[11] = c[2][pam_begin:pam_end] - list_for_alt.append('\t'.join(c)+'\t'+ref_this_clus+'\t'+str(cfd_ref)) - if saved: - cfd_best.write('\t' + str(len(list_for_alt))+ '\n') - for ele in list_for_alt: - cfd_alt.write(ele+'\t'+str(len(list_for_alt))+ '\n') - - keys_seen = [] - saved = False - if cluster_to_save_mmbl: - c = cluster_to_save_mmbl[0] - - #c.pop(-2) - best_seq = c[12] - cfd_clus_key = c[3] + " " + c[5] + " " + c[6] + " " + c[-2] - - if c[12] == 'n': - #cfd_for_graph['ref'][round(float(c[-1]) * 100)] += 1 - mmblg_best.write('\t'.join(c)+'\tn\t'+str(c[-1])) - else: - #cfd_for_graph['var'][round(float(c[-1]) * 100)] += 1 - ref_generated = alignRefFromVar(c, cluster_class[c[0] + c[8]]['ref_pos_alignement']) - ref_this_clus = ref_generated[2] - cfd_ref = ref_generated[-1] - mmblg_best.write('\t'.join(c)+'\t'+ref_this_clus+'\t'+str(cfd_ref)) - cluster_to_save_mmbl.pop(0) - keys_seen.append(cfd_clus_key) - saved = True - - list_for_alt = [] - for c in cluster_to_save_mmbl: - #c.pop(-2) - new_cfd_clus_key = c[3] + " " + c[5] + " " + c[6] + " " + c[-2] - if new_cfd_clus_key not in keys_seen: - keys_seen.append(new_cfd_clus_key) - if c[12] == 'n': - #cfd_for_graph['ref'][round(float(c[-1]) * 100)] += 1 - #cfd_alt.write('\t'.join(c)+'\tn\n') - list_for_alt.append('\t'.join(c)+'\tn\t'+str(c[-1])) - else: - #cfd_for_graph['var'][round(float(c[-1]) * 100)] += 1 - #cfd_alt.write('\t'.join(c)+'\t'+ref_this_clus+'\n') - ref_generated = alignRefFromVar(c, cluster_class[c[0] + c[8]]['ref_pos_alignement']) - ref_this_clus = ref_generated[2] - cfd_ref = ref_generated[-1] - list_for_alt.append('\t'.join(c)+'\t'+ref_this_clus+'\t'+str(cfd_ref)) - if saved: - mmblg_best.write('\t' + str(len(list_for_alt))+ '\n') - for ele in list_for_alt: - mmblg_alt.write(ele+'\t'+str(len(list_for_alt))+ '\n') - - cluster_to_save = [] - cluster_class = dict.fromkeys(dictionary_entries) #Dizionario dove salvare le variabile per ogni tipo di scomposizione (X,DNA1,DNA2,RNA1 etc...) - #Viene re-inizializzato per ogni cluster - current_guide_chr_pos_direction = guide_no_bulge + line[3] + line[5] + line[6] - if line[3].split('_')[0] != current_chr: #New chr section, load a new dictionary - if not os.path.exists(os.path.realpath(sys.argv[4]) + '/log' + line[3].split('_')[0] + '.txt'): - raise Exception("ERROR, NO LOG PASSED") - else: - #if current_chr != 'none': - # print('Done', current_chr, time.time() - start_time) - current_chr = line[3].split('_')[0] - #chr_name = line[3] - datastore = pd.read_csv(os.path.realpath(sys.argv[4]) + '/log' + current_chr + '.txt', sep='\t', index_col=0).fillna('n') - datastore = datastore.loc[~datastore.index.duplicated(keep='first')] - datastore = datastore.to_dict(orient='index') - print ('Analysis of ' + current_chr) - start_time = time.time() - - #Calculate samples and all possible true scompositions - pos_snp = [] # lista delle posizioni degli iupac nel target - tuple_var_ref = [] #array che contiene le tuple composte da (var1,var2..., ref) (al momento abbiamo solo var1 nei dizionari) per ogni iupac nel target - # top1_ref = False - #target_combination = [] #lista di tutte le possibili combinazioni di scomposizione di IUPAC - pos_snp_chr = [] # lista delle posizioni degli iupac nel target riferite alla posizione nel cromosoma - #set_list_top1 = [] # lista di set di samples associati ad ogni posizione IUPAC - last_samples = [] - last_IDs = [] - last_AF = [] - last_SNPpos = [] - #substitute_ref = [] #List of ref_char used to create the aligned ref target from a var - #last_haplotype = [] - #pos_char_for_cluster = [] # lista di liste. Ogni lista corrisponde ad una scomposizione. Per ogni scomposizione mi salvo la posizione nel target e il carattere che ho trovato nella scomposizione - # andrò poi a sostituire questi caratteri negli altri target del cluster che sono nella stessa categoria - final_result = line.copy() - last_samples = [] - last_IDs = [] - last_AF = [] - last_INDpos = [] - if line[10] != "n": - a = datastore[line[10]] - final_result[13] = a['SAMPLES'] - final_result[16] = a['rsID'] - final_result[17] = str(a['AF']) - final_result[18] = a['indel'] - - mm_new_t = 0 - t = line[2] - #if line[6] == '-': - # t = t[::-1] - guide_no_pam = final_result[1][pos_beg:pos_end] - list_t = list(t) - for position_t, char_t in enumerate(final_result[2][pos_beg:pos_end]): - if char_t.upper() != guide_no_pam[position_t]: - mm_new_t += 1 - tmp_pos_mms = position_t - if guide_no_pam[position_t] != '-': - list_t[sum_for_mms + position_t] = char_t.lower() - final_result[2] = ''.join(list_t)#t - if tmp_pos_mms: - final_result.append(int(tmp_pos_mms)) - else: #NO mms found - final_result.append(-1) - - #Calcolo annotazioni - foundAnnotations = sorted(annotationsTree[int(line[4]):(int(line[4])+int(len(guide_no_bulge))+1)]) - string_annotation = [] - found_bool = False - for found in range(0, len(foundAnnotations)): - guide = foundAnnotations[found].data - guideSplit = guide.split('\t') - if(str(guideSplit[0]) == str(line[3])): - found_bool = True - string_annotation.append(str(guideSplit[1])) - if not found_bool: - last_annotation = 'n' - else: - last_annotation = ','.join(string_annotation) - - final_result[14] = last_annotation - last_samples= final_result[13] - last_IDs = final_result[16] - last_AF = final_result[17] - last_INDpos = final_result[18] - - cluster_to_save.append(final_result) - - clusterkey = line[0] + line[8] - cluster_class[clusterkey] = dict() - #cluster_class[clusterkey]['poscharforcluster'] = pos_char_for_cluster #aggiorno la categoria del target per i prossimi target - cluster_class[clusterkey]['lastsamples'] = last_samples - cluster_class[clusterkey]['lastID'] = last_IDs #ID - cluster_class[clusterkey]['lastAF'] = last_AF #AF (come last_samples) - cluster_class[clusterkey]['lastINDpos'] = last_INDpos - #cluster_class[clusterkey]['ref_pos_alignement'] = ref_pos_alignement - -#LAST CLUSTER -for t in cluster_to_save: - if t[0] == 'DNA': - cfd_score = calc_cfd(t[1][int(t[bulge_pos]):], t[2].upper()[int(t[bulge_pos]):-3], t[2].upper()[-2:], mm_scores, pam_scores) - t.append(str(cfd_score)) - else: - cfd_score = calc_cfd(t[1], t[2].upper()[:-3], t[2].upper()[-2:], mm_scores, pam_scores) - t.append(str(cfd_score)) - - -cluster_to_save.sort(key = lambda x : (float(x[-1]), reversor(int(x[9])), reversor(int(x[-2]))), reverse = True) -cluster_to_save_mmbl = cluster_to_save.copy() -cluster_to_save_mmbl.sort(key = lambda x : (int(x[8]), int(x[7]))) - -keys_seen = [] -saved = False - -if cluster_to_save: - c = cluster_to_save[0] - - c.pop(-2) - cfd_clus_key = c[3] + " " + c[5] + " " + c[6] + " " + c[-2] - if c[13] == 'n': - cfd_for_graph['ref'][round(float(c[-1]) * 100)] += 1 - cfd_best.write('\t'.join(c)+'\tn\t'+str(c[-1])) - else: - cfd_for_graph['var'][round(float(c[-1]) * 100)] += 1 - ref_generated = alignRefFromVar(c, dict_ref_seq)#, cluster_class[c[0] + c[8]]['ref_pos_alignement']) - ref_this_clus = ref_generated[0] - reference_pam = ref_this_clus[pam_begin:pam_end] - cfd_ref = ref_generated[1] - found_creation = False - for pos_pam_ref, pam_char_ref in enumerate(reference_pam): - if not iupac_code_set[pam[pos_pam_ref]] & iupac_code_set[pam_char_ref]: #ref char not in set of general pam char - found_creation = True - if found_creation: - c[11] = c[2][pam_begin:pam_end] - cfd_best.write('\t'.join(c)+'\t'+ref_this_clus+'\t'+str(cfd_ref)) - cluster_to_save.pop(0) - keys_seen.append(cfd_clus_key) - saved = True - -list_for_alt = [] -for c in cluster_to_save: - c.pop(-2) - new_cfd_clus_key = c[3] + " " + c[5] + " " + c[6] + " " + c[-2] - if new_cfd_clus_key not in keys_seen: - keys_seen.append(new_cfd_clus_key) - if c[13] == 'n': - cfd_for_graph['ref'][round(float(c[-1]) * 100)] += 1 - #cfd_alt.write('\t'.join(c)+'\tn\n') - list_for_alt.append('\t'.join(c)+'\tn\t'+str(c[-1])) - else: - cfd_for_graph['var'][round(float(c[-1]) * 100)] += 1 - ref_generated = alignRefFromVar(c, dict_ref_seq)#, cluster_class[c[0] + c[8]]['ref_pos_alignement']) - ref_this_clus = ref_generated[0] - reference_pam = ref_this_clus[pam_begin:pam_end] - cfd_ref = ref_generated[1] - found_creation = False - for pos_pam_ref, pam_char_ref in enumerate(reference_pam): - if not iupac_code_set[pam[pos_pam_ref]] & iupac_code_set[pam_char_ref]: #ref char not in set of general pam char - found_creation = True - if found_creation: - c[11] = c[2][pam_begin:pam_end] - list_for_alt.append('\t'.join(c)+'\t'+ref_this_clus+'\t'+str(cfd_ref)) -if saved: - cfd_best.write('\t' + str(len(list_for_alt))+ '\n') - -for ele in list_for_alt: - cfd_alt.write(ele+'\t'+str(len(list_for_alt))+'\n') - -keys_seen = [] -saved = False -if cluster_to_save_mmbl: - c = cluster_to_save_mmbl[0] - - #c.pop(-2) - best_seq = c[12] - cfd_clus_key = c[3] + " " + c[5] + " " + c[6] + " " + c[-2] - - if c[12] == 'n': - #cfd_for_graph['ref'][round(float(c[-1]) * 100)] += 1 - mmblg_best.write('\t'.join(c)+'\tn\t'+str(c[-1])) - else: - #cfd_for_graph['var'][round(float(c[-1]) * 100)] += 1 - ref_generated = alignRefFromVar(c, cluster_class[c[0] + c[8]]['ref_pos_alignement']) - ref_this_clus = ref_generated[2] - cfd_ref = ref_generated[-1] - mmblg_best.write('\t'.join(c)+'\t'+ref_this_clus+'\t'+str(cfd_ref)) - cluster_to_save_mmbl.pop(0) - keys_seen.append(cfd_clus_key) - saved = True - -list_for_alt = [] -for c in cluster_to_save_mmbl: - #c.pop(-2) - new_cfd_clus_key = c[3] + " " + c[5] + " " + c[6] + " " + c[-2] - if new_cfd_clus_key not in keys_seen: - keys_seen.append(new_cfd_clus_key) - if c[12] == 'n': - #cfd_for_graph['ref'][round(float(c[-1]) * 100)] += 1 - #cfd_alt.write('\t'.join(c)+'\tn\n') - list_for_alt.append('\t'.join(c)+'\tn\t'+str(c[-1])) - else: - #cfd_for_graph['var'][round(float(c[-1]) * 100)] += 1 - #cfd_alt.write('\t'.join(c)+'\t'+ref_this_clus+'\n') - ref_generated = alignRefFromVar(c, cluster_class[c[0] + c[8]]['ref_pos_alignement']) - ref_this_clus = ref_generated[2] - cfd_ref = ref_generated[-1] - list_for_alt.append('\t'.join(c)+'\t'+ref_this_clus+'\t'+str(cfd_ref)) -if saved: - mmblg_best.write('\t' + str(len(list_for_alt))+ '\n') -for ele in list_for_alt: - mmblg_alt.write(ele+'\t'+str(len(list_for_alt))+ '\n') - -cfd_best.close() -cfd_alt.close() -mmblg_best.close() -mmblg_alt.close() - -os.system("sed -i '1s/.*/#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster_Position\tDirection\tMismatches\tBulge_Size\tTotal\tChromosome_fake\tPAM_gen\tVar_uniq\tSamples\tAnnotation_Type\tReal_Guide\trsID\tAF\tSNP\tCFD\tReference\tCFD_ref\t#Seq_in_cluster/' "+outputFile + '.bestCFD.txt') -os.system("sed -i '1s/.*/#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster_Position\tDirection\tMismatches\tBulge_Size\tTotal\tChromosome_fake\tPAM_gen\tVar_uniq\tSamples\tAnnotation_Type\tReal_Guide\trsID\tAF\tSNP\tCFD\tReference\tCFD_ref\t#Seq_in_cluster/' "+outputFile + '.altCFD.txt') - -os.system("sed -i '1s/.*/#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster_Position\tDirection\tMismatches\tBulge_Size\tTotal\tChromosome_fake\tPAM_gen\tVar_uniq\tSamples\tAnnotation_Type\tReal_Guide\trsID\tAF\tSNP\tCFD\tReference\tCFD_ref\t#Seq_in_cluster/' "+outputFile + '.bestmmblg.txt') -os.system("sed -i '1s/.*/#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster_Position\tDirection\tMismatches\tBulge_Size\tTotal\tChromosome_fake\tPAM_gen\tVar_uniq\tSamples\tAnnotation_Type\tReal_Guide\trsID\tAF\tSNP\tCFD\tReference\tCFD_ref\t#Seq_in_cluster/' "+outputFile + '.altmmblg.txt') - -#Save dataframe for graph -cfd_dataframe = pd.DataFrame.from_dict(cfd_for_graph) -cfd_dataframe.to_csv(outputFile + '.CFDGraph.txt', sep = '\t', index = False) -print('Done', current_chr, time.time() - start_time) - -print('ANALYSIS COMPLETE IN', time.time() - global_start) - - diff --git a/auto_search_corrected/analisi_indels_NNN.sh b/auto_search_corrected/analisi_indels_NNN.sh deleted file mode 100644 index 9795f6a..0000000 --- a/auto_search_corrected/analisi_indels_NNN.sh +++ /dev/null @@ -1,135 +0,0 @@ -#!/bin/bash - -# Script per l'analisi dei targets della ricerca REF e ENR con PAM NNN -# Il file dei targets della ricerca sul genoma reference si chiama $REFtargets -> INPUT $1 -# Il file dei targets della ricerca sul genoma enriched si chiama $ENRtargets -> INPUT $2 -# Output name dei file di intermezzo si chiama $jobid -> INPUT $3 -# Assicurarsi che il file della pam (pam.txt) e delle guide (guides.txt) siano -# presenti all'interno della cartella contentente lo script -# Il filde .bed delle annotazioni, variabile $annotationfile -> INPUT $4 -# Cartella dei dizionari, che contiene i file .json, variabile $dictionaries -> INPUT $5 -# $mismatch indica il numero di mismatches usati per la ricerca, default 6, -# $bulgesDNA e $bulgesRNA indicano il num di bulges usati nella ricerca, default 2 -# cartella del genoma reference, indicata con $referencegenome -> INPUT $6 -# Assicurarsi che il file con gli ID dei sample (samplesID.txt) sia nella cartella -# dello script - -#ESEMPIO CHIAMATA -# ./scriptAnalisiNNN.sh reference.targets.txt enriched.targets.txt nome_output hg38_annotations.bed dictionary_hg38/ hg38_ref/ - -#NOTA se è già presente un file con .total.txt si possono commentare gli step 1) e 2) - -REFtargets=$1 -ENRtargets=$2 -jobid=$3 -annotationfile=$4 -dictionaries=$5 -referencegenome=$6 - -mismatch=$7 -bulgesDNA=$8 -bulgesRNA=$9 - -guide_file=${10} -pam_file=${11} -sampleID=${12} - -output_folder=${13} - -awk '{print $0"\tn"}' "$REFtargets" > "$REFtargets.corrected" -echo 'Adjusting indel positions' -./correct_positions_targets.py "$ENRtargets" -./bed_for_ref_seq.py "$ENRtargets.corrected" "$jobid" -bedtools getfasta -fi "$referencegenome" -bed "$jobid.bed_for_ref" -fo "$jobid.ref_seq.fa" - - -# 1) Rimozione duplicati, estrazione semicommon e unique e creazione file total -echo 'Creazione file .total.txt' -./extraction.sh "$REFtargets.corrected" "$ENRtargets.corrected" "$jobid" # OUTPUT $jobid.common_targets.txt -> Non usato - # $jobid.semi_common_targets.txt - # $jobid.unique_targets.txt - -rm "$jobid.common_targets.txt" -rm "$REFtargets.corrected" -rm "$ENRtargets.corrected" -# 2) Creazione colonne PAM creation etc -awk '{real_guide=$2; gsub("-","",real_guide); print $0"\tn\tn\tn\tn\t"real_guide"\tn\tn\tn"}' "$jobid.semi_common_targets.txt" > "$jobid.semi_common_targets.minmaxdisr.txt" -rm "$jobid.semi_common_targets.txt" - -awk '{real_guide=$2; gsub("-","",real_guide); print $0"\tn\tn\tn\tn\t"real_guide"\tn\tn\tn"}' "$jobid.unique_targets.txt" > "$jobid.unique_targets.pamcreation.txt" #Add pam creation, variant unique, real guide column -rm "$jobid.unique_targets.txt" - -cat "$jobid.unique_targets.pamcreation.txt" "$jobid.semi_common_targets.minmaxdisr.txt" > "$jobid.total.txt" -rm "$jobid.unique_targets.pamcreation.txt" -rm "$jobid.semi_common_targets.minmaxdisr.txt" - -#awk '{real_guide=$2; gsub("-","",real_guide); print $0"\tn\tn\tn\tn\t"real_guide"\tn\tn\tn"}' $ENRtargets.corrected > $jobid.total.txt - -echo 'Creazione cluster del file .total.txt' -# 3) Clustering -./cluster.dict.py "$jobid.total.txt" 'no' 'True' 'True' "$guide_file" 'total' 'orderChr' # OUTPUT $jobid.total.cluster.txt - - -#sed -i ':a;N;$!ba;s/\n/\tn\tn\tn\n/g' $jobid.total.cluster.txt -#sed -i '$s/$/\tn\tn\tn/g' $jobid.total.cluster.txt - -sed -i '1s/.*/#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster Position\tDirection\tMismatches\tBulge_Size\tTotal\tChromosome_fake\tPAM_gen\tVar_uniq\tSamples\tAnnotation Type\tReal Guide\tID\tAF\tSNP/' "$jobid.total.cluster.txt" -rm "$jobid.total.txt" - -# 4) Estrazione del samples - -# Per questa parte, al posto di $jobid.total.cluster.txt e $jobid, si può chiamare lo script più volte mettendo i file divisi per uno o più -# cromosomi, estratti partendo dal file $jobid.total.cluster.txt -# Ognuno di questi file DEVE avere l'header preso dal file $jobid.total.cluster.txt -# Ognuno di questi file DEVE contenere tutti i target di un cromosoma (non posso avere cluster spezzati in due file diversi) -# NOTA greppare da $jobid.total.cluster.txt anche i cromosomi del tipo chr5_KI270791v1_alt - -# ESEMPIO so ho 3 file del tipo chr1-5.txt, chr 6-15.txt e chr 16-22XYM.txt -# farò queste chiamate -# python3 AnnotatorAllTargets.py $annotationfile chr1-5.txt chr1-5 $dictionaries pam.txt $mismatch $referencegenome guides.txt $bulgesDNA $bulgesRNA samplesID.txt -# python3 AnnotatorAllTargets.py $annotationfile chr6-15.txt chr6-15 $dictionaries pam.txt $mismatch $referencegenome guides.txt $bulgesDNA $bulgesRNA samplesID.txt -# python3 AnnotatorAllTargets.py $annotationfile chr16-22XYM.txt chr16-22XYM $dictionaries pam.txt $mismatch $referencegenome guides.txt $bulgesDNA $bulgesRNA samplesID.txt -# OUTPUT chr1-5.bestCFD.txt chr6-15.bestCFD.txt chr16-22XYM.bestCFD.txt -# chr1-5.CFDGraph.txt chr6-15.CFDGraph.txt chr16-22XYM.CFDGraph.txt -# I file .bestCFD.txt si possono unire (attenzione che avrò 3 header all'interno del file) per ottenere il file completo -# I file .CFDGraph.txt vanno sommati tra loro per ottenere il file finale -> AL MOMENTO NON NECESSARIO PER QUESTA ANALISI (TENERE COMUNQUE I FILE) - -echo 'Estrazione sample dal file .total.cluster.txt' - -./analisi_indels_NNN.py "$annotationfile" "$jobid.total.cluster.txt" "$jobid" "$dictionaries" "$pam_file" "$mismatch" "$referencegenome" "$guide_file" $bulgesDNA $bulgesRNA "$sampleID" "$jobid.ref_seq.fa" -# OUTPUT $jobid.bestCFD.txt -# $jobid.CFDGraph.txt (per fare l'area graph dei CFD REF vs ENR) -# NOTA AnnotatorAllTargets.py salva su disco SOLO il target con CFD più alto nel cluster e tra le scomposizioni esistenti -# Quindi i files jobid.samples.annotation (contentente le scomposizioni del TOP1 esistenti) e jobid.cluster.tmp.txt (contenente il miglior TOP1 -# scomposto e i target dei cluster con quell'aplotipo) NON sono creati -rm "$jobid.total.cluster.txt" -rm "$jobid.bed_for_ref" -rm "$jobid.ref_seq.fa" - -echo 'Sorting and adjusting results' -#(head -n 1 $jobid.bestCFD.txt && tail -n +2 $jobid.bestCFD.txt | sort -k4,4 -k6,6 -T ./) > tmp && mv tmp $jobid.bestCFD.txt -#python3 compact_ref_var.py $jobid.bestCFD.txt -./adjust_cols.py "$jobid.bestCFD.txt" -./adjust_cols.py "$jobid.altCFD.txt" - -./adjust_cols.py $jobid.bestmmblg.txt -./adjust_cols.py $jobid.altmmblg.txt - -sed -i '1s/.*/MMBLG_#Bulge_type\tMMBLG_crRNA\tMMBLG_DNA\tMMBLG_Reference\tMMBLG_Chromosome\tMMBLG_Position\tMMBLG_Cluster_Position\tMMBLG_Direction\tMMBLG_Mismatches\tMMBLG_Bulge_Size\tMMBLG_Total\tMMBLG_PAM_gen\tMMBLG_Var_uniq\tMMBLG_Samples\tMMBLG_Annotation_Type\tMMBLG_Real_Guide\tMMBLG_rsID\tMMBLG_AF\tMMBLG_SNP\tMMBLG_#Seq_in_cluster\tMMBLG_CFD\tMMBLG_CFD_ref/' $jobid.bestmmblg.txt -sed -i '1s/.*/MMBLG_#Bulge_type\tMMBLG_crRNA\tMMBLG_DNA\tMMBLG_Reference\tMMBLG_Chromosome\tMMBLG_Position\tMMBLG_Cluster_Position\tMMBLG_Direction\tMMBLG_Mismatches\tMMBLG_Bulge_Size\tMMBLG_Total\tMMBLG_PAM_gen\tMMBLG_Var_uniq\tMMBLG_Samples\tMMBLG_Annotation_Type\tMMBLG_Real_Guide\tMMBLG_rsID\tMMBLG_AF\tMMBLG_SNP\tMMBLG_#Seq_in_cluster\tMMBLG_CFD\tMMBLG_CFD_ref/' $jobid.altmmblg.txt - - -pr -m -t -J $jobid.bestCFD.txt $jobid.bestmmblg.txt > $jobid.bestMerge.txt -pr -m -t -J $jobid.altCFD.txt $jobid.altmmblg.txt > $jobid.altMerge.txt - -./remove_bad_indel_targets.py "$jobid.bestMerge.txt" -./remove_bad_indel_targets.py "$jobid.altMerge.txt" - -rm $jobid.bestCFD.txt -rm $jobid.altCFD.txt -rm $jobid.bestmmblg.txt -rm $jobid.altmmblg.txt - -mv "$jobid.bestMerge.txt" "$output_folder" -mv "$jobid.altMerge.txt" "$output_folder" -mv "$jobid.CFDGraph.txt" "$output_folder" diff --git a/auto_search_corrected/assemble_cfd_graphs.py b/auto_search_corrected/assemble_cfd_graphs.py deleted file mode 100644 index cf6b97e..0000000 --- a/auto_search_corrected/assemble_cfd_graphs.py +++ /dev/null @@ -1,45 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -""" -Created on Sat Sep 26 13:55:37 2020 - -@author: francesco -""" -import sys -import os -import pandas as pd -import numpy as np - -output_dir = sys.argv[1] - -files_fake = [] -files_true = [] -for f in os.listdir(output_dir): - if 'CFDGraph' in f: - if 'fake' in f: - files_fake.append(f) - else: - files_true.append(f) - -os.chdir(output_dir) -if files_fake: - empty_m = np.zeros([101,2]) - cumulative_graph_fake = pd.DataFrame(empty_m, columns=['ref','var']) - for f in files_fake: - df = pd.read_csv(f, sep='\t') - cumulative_graph_fake = cumulative_graph_fake.add(df) - os.system(f"rm {f}") - - cumulative_graph_fake = cumulative_graph_fake.astype('int64') - cumulative_graph_fake.to_csv("indels.CFDGraph.txt", sep='\t', index=False) - -if files_true: - empty_m = np.zeros([101,2]) - cumulative_graph_true = pd.DataFrame(empty_m, columns=['ref','var']) - for f in files_true: - df = pd.read_csv(f, sep='\t') - cumulative_graph_true = cumulative_graph_true.add(df) - os.system(f"rm {f}") - - cumulative_graph_true = cumulative_graph_true.astype('int64') - cumulative_graph_true.to_csv("snps.CFDGraph.txt", sep='\t', index=False) \ No newline at end of file diff --git a/auto_search_corrected/automated_search.py b/auto_search_corrected/automated_search.py deleted file mode 100644 index a5d8250..0000000 --- a/auto_search_corrected/automated_search.py +++ /dev/null @@ -1,221 +0,0 @@ -#!/usr/bin/env python - -import sys -import os - -script_path = os.path.dirname(os.path.abspath( __file__ )) - -input_args = sys.argv - -variant = True - -if "--help" in input_args: - print("This is the automated search process that goes from raw input up to the post-analysis of results.") - print("These are the flags that must be used in order to run this function:") - print("\t--genome , used to specify the reference genome folder") - print("\t--vcf , used to specify the VCF folder [OPTIONAL!]") - print("\t--guide , used to specify the file that contains guides used for the search") - print("\t--pam , used to specify the file that contains the pam") - print("\t--annotation , used to specify the file that contains some annotations of the reference genome") - print("\t--samplesID , used to specify the file that contains the information about samples present in VCF files [OPTIONAL!]") - print("\t--bMax , used to specify the number of bulges for the indexing of the genome(s)") - print("\t--mm , used to specify the number of mismatches permitted in the search phase") - print("\t--bDNA , used to specify the number of DNA bulges permitted in the search phase") - print("\t--bRNA , used to specify the number of RNA bulges permitted in the search phase") - print("\t--merge, used to specify the threshold used to merge close targets") - print("\t--output , used to specify the output folder for the results") - exit(0) - -if "--genome" not in input_args: - print("--genome must be contained in the input") - exit(1) -else: - try: - genomedir = os.path.abspath(input_args[input_args.index("--genome")+1]) - except IndexError: - print("Please input some parameter for flag --genome") - exit(1) - if not os.path.isdir(genomedir): - print("The folder specified for --genome does not exist") - exit(1) - -if "--vcf" not in input_args: - variant = False -else: - try: - vcfdir = os.path.abspath(input_args[input_args.index("--vcf")+1]) - except IndexError: - print("Please input some parameter for flag --vcf") - exit(1) - if not os.path.isdir(vcfdir): - print("The folder specified for --vcf does not exist") - exit(1) - -if "--guide" not in input_args: - print("--guide must be contained in the input") - exit(1) -else: - try: - guidefile = os.path.abspath(input_args[input_args.index("--guide")+1]) - except IndexError: - print("Please input some parameter for flag --guide") - exit(1) - if not os.path.isfile(guidefile): - print("The folder specified for --guide does not exist") - exit(1) - -if "--pam" not in input_args: - print("--pam must be contained in the input") - exit(1) -else: - try: - pamfile = os.path.abspath(input_args[input_args.index("--pam")+1]) - except IndexError: - print("Please input some parameter for flag --pam") - exit(1) - if not os.path.isfile(pamfile): - print("The folder specified for --pam does not exist") - exit(1) - -if "--annotation" not in input_args: - print("--annotation must be contained in the input") - exit(1) -else: - try: - annotationfile = os.path.abspath(input_args[input_args.index("--annotation")+1]) - except IndexError: - print("Please input some parameter for flag --annotation") - exit(1) - if not os.path.isfile(annotationfile): - print("The folder specified for --annotation does not exist") - exit(1) - -if variant and "--samplesID" not in input_args: - print("--samplesID must be contained in the input") - exit(1) -elif not variant and "--samplesID" in input_args: - print("--samplesID was in the input but no VCF directory was specified") - exit(1) -elif "--samplesID" in input_args: - try: - samplefile = os.path.abspath(input_args[input_args.index("--samplesID")+1]) - except IndexError: - print("Please input some parameter for flag --samplesID") - exit(1) - if not os.path.isfile(samplefile): - print("The folder specified for --samplesID does not exist") - exit(1) - -if "--bMax" not in input_args: - print("--bMax must be contained in the input") - exit(1) -else: - try: - bMax = input_args[input_args.index("--bMax")+1] - except IndexError: - print("Please input some parameter for flag --bMax") - exit(1) - try: - bMax = int(bMax) - except: - print("Please input a number for flag bMax") - exit(1) - if bMax < 0 or bMax > 2: - print("The range for bMax is from 0 to 2") - exit(1) - -if "--mm" not in input_args: - print("--mm must be contained in the input") - exit(1) -else: - try: - mm = input_args[input_args.index("--mm")+1] - except IndexError: - print("Please input some parameter for flag --mm") - exit(1) - try: - mm = int(mm) - except: - print("Please input a number for flag mm") - exit(1) - -if "--bDNA" not in input_args: - print("--bDNA must be contained in the input") - exit(1) -else: - try: - bDNA = input_args[input_args.index("--bDNA")+1] - except IndexError: - print("Please input some parameter for flag --bDNA") - exit(1) - try: - bDNA = int(bDNA) - except: - print("Please input a number for flag bDNA") - exit(1) - if bDNA > bMax: - print("The number of bDNA must be equal or less than bMax") - exit(1) - elif bDNA < 0 or bDNA > 2: - print("The range for bDNA is from 0 to", bMax) - exit(1) - -if "--bRNA" not in input_args: - print("--bRNA must be contained in the input") - exit(1) -else: - try: - bRNA = input_args[input_args.index("--bRNA")+1] - except IndexError: - print("Please input some parameter for flag --bRNA") - exit(1) - try: - bRNA = int(bRNA) - except: - print("Please input a number for flag bRNA") - exit(1) - if bRNA > bMax: - print("The number of bRNA must be equal or less than bMax") - exit(1) - elif bRNA < 0 or bRNA > 2: - print("The range for bRNA is from 0 to", bMax) - exit(1) - -if "--merge" not in input_args: - print("--merge must be contained in the input") - exit(1) -else: - try: - merge_t = input_args[input_args.index("--merge")+1] - except IndexError: - print("Please input some parameter for flag --merge") - exit(1) - try: - merge_t = int(merge_t) - except: - print("Please input a number for flag merge") - exit(1) - if merge_t < 0: - print("Please specify a positive number for --merge") - exit(1) - -if "--output" not in input_args: - print("--output must be contained in the input") - exit(1) -else: - try: - outputfolder = os.path.abspath(input_args[input_args.index("--output")+1]) - except IndexError: - print("Please input some parameter for flag --output") - exit(1) - if not os.path.isdir(outputfolder): - print("The folder specified for --output does not exist") - exit(1) - -os.chdir(script_path) -if variant: - os.system("./automated_search_good_parallel_v2.sh "+genomedir+" "+vcfdir+" "+guidefile+" "+pamfile+" "+annotationfile+" "+samplefile+" "+str(bMax)+" "+str(mm)+" "+str(bDNA)+" "+str(bRNA)+" "+str(merge_t)+" "+outputfolder+" "+script_path+" "+str(len(os.sched_getaffinity(0))-2)) -else: - os.system("./automated_search_good_parallel_v2.sh "+genomedir+" _ "+guidefile+" "+pamfile+" "+annotationfile+" _ "+str(bMax)+" "+str(mm)+" "+str(bDNA)+" "+str(bRNA)+" "+str(merge_t)+" "+outputfolder+" "+script_path+" "+str(len(os.sched_getaffinity(0))-2)) - - diff --git a/auto_search_corrected/automated_search.sh b/auto_search_corrected/automated_search.sh deleted file mode 100644 index 7eed35e..0000000 --- a/auto_search_corrected/automated_search.sh +++ /dev/null @@ -1,273 +0,0 @@ -#!/bin/bash - -#file for automated search of guide+pam in reference and variant genomes - -ref_folder=$(realpath $1) -vcf_folder=$(realpath $2) -guide_file=$(realpath $3) -pam_file=$(realpath $4) -annotation_file=$(realpath $5) -sampleID=$(realpath $6) - -bMax=$7 -mm=$8 -bDNA=$9 -bRNA=${10} - -output_folder=$(realpath ${11}) -starting_dir=${12} -#echo $ref_folder -#echo $vcf_folder -#echo $guide_file -#echo $pam_file -#echo $annotation_file -#echo $output_folder -ref_name=$(basename $1) -#folder_of_folders=$(dirname $1) -vcf_name=$(basename $2) -guide_name=$(basename $3) - -declare -A pids_fake_chroms -for file_chr in "$ref_folder"/*.fa -do - file_name=$(basename $file_chr) - chr=$(echo $file_name | cut -f 1 -d'.') - echo "$chr" - pids_fake_chroms+=(["$chr"]="$!") -done - -if ! [ -d "$output_folder" ]; then - mkdir "$output_folder" -fi -cd "$output_folder/" - -if [ "$vcf_name" != "_" ]; then - if ! [ -d "dictionaries_$vcf_name/" ]; then - mkdir "dictionaries_$vcf_name" - cd "$starting_dir" - ./create_dict.py "$vcf_folder" "$vcf_name" "$output_folder" & - pid_dicts=$! - cd "$output_folder/" - else - echo "Dictionaries already present" - fi - dict_folder="$output_folder/dictionaries_$vcf_name/" - #echo $dict_folder - if ! [ -d "fake_chrom_$vcf_name" ]; then - echo "Generating fake chromosomes for indels" - mkdir "fake_chrom_$vcf_name" - cd "$starting_dir" - ./pool_indels.py "$ref_folder" "$vcf_folder" "$vcf_name" "$guide_file" "$pam_file" $bMax $mm $bDNA $bRNA "$output_folder/fake_chrom_$vcf_name" & - cd "$output_folder" - else - echo "INDELs extraction already present" - for key in "${!pids_fake_chroms[@]}" - do - touch finished$key.txt - done - fi -fi - - -fullseqpam=$(cut -f1 -d' ' "$pam_file") -pos=$(cut -f2 -d' ' "$pam_file") -if [ $pos -gt 0 ]; then - true_pam=${fullseqpam:${#fullseqpam}-$pos} -else - true_pam=${fullseqpam:0:-$pos} -fi - -if ! [ -d "genome_library/"$true_pam"_${bMax}_"$ref_name ]; then - echo "Indexing reference genome" - crispritz.py index-genome "$ref_name" "$ref_folder/" "$pam_file" -bMax $bMax -th 2 -else - echo "Reference Index already present" -fi - -if [ "$vcf_name" != "_" ]; then - if ! [ -d "${ref_name}+${vcf_name}" ]; then - echo "Adding variants" - crispritz.py add-variants "$vcf_folder/" "$ref_folder/" - cp -r "variants_genome/SNPs_genome/${ref_name}_enriched/" "./${ref_name}+${vcf_name}" - rm -r "variants_genome/" - else - echo "Variants already added" - fi - - if ! [ -d "genome_library/"$true_pam"_${bMax}_${ref_name}+${vcf_name}" ]; then - echo "Indexing variant genome" - crispritz.py index-genome "${ref_name}+${vcf_name}" "${ref_name}+${vcf_name}/" "$pam_file" -bMax $bMax -th 2 #${ref_folder%/}+${vcf_name}/ - else - echo "Variant Index already present" - fi -fi - -if ! [ -f "${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" ]; then - crispritz.py search "genome_library/"$true_pam"_${bMax}_$ref_name/" "$pam_file" "$guide_file" "${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}" -index -mm $mm -bDNA $bDNA -bRNA $bRNA -t -th 2 -else - echo "Search for reference already done" -fi - -if [ "$vcf_name" != "_" ]; then - if ! [ -f "${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" ]; then - crispritz.py search "genome_library/"$true_pam"_${bMax}_${ref_name}+${vcf_name}/" "$pam_file" "$guide_file" "${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}" -index -mm $mm -bDNA $bDNA -bRNA $bRNA -t -th 2 -var - else - echo "Search for variant already done" - fi - - while kill "-0" $pid_dicts &>/dev/null; do - echo "Waiting for dictionary creation before SNP analysis" - sleep 10 - done -fi - -cd "$starting_dir" - -echo "Start post-analysis" - -if [ "$vcf_name" != "_" ]; then - final_res="$output_folder/final_results_${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt" - final_res_alt="$output_folder/final_results_${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt" - if ! [ -f "$final_res" ]; then - touch "$final_res" - fi - if ! [ -f "$final_res_alt" ]; then - touch "$final_res_alt" - fi - - for key in "${!pids_fake_chroms[@]}" - do - echo "Processing SNPs for $key" - LC_ALL=C fgrep $key "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" > "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - LC_ALL=C fgrep $key "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" > "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - ./scriptAnalisiNNN_v3.sh "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" "${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}" "$annotation_file" "$dict_folder" "$ref_folder" $mm $bDNA $bRNA "$guide_file" "$pam_file" "$sampleID" "$output_folder" - rm "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - rm "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - header=$(head -1 "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt") - tail -n +2 "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt" >> "$final_res" #"$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" - tail -n +2 "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt" >> "$final_res_alt" #"$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" - #cat "$final_res" "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" > "$final_res.tmp" - #cat "$final_res_alt" "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" > "$final_res_alt.tmp" - #mv "$final_res.tmp" "$final_res" - #mv "$final_res_alt.tmp" "$final_res_alt" - rm "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt" - rm "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt" - #rm "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" - #rm "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" - - done -else - - final_res="$output_folder/final_results_${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt" - final_res_alt="$output_folder/final_results_${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt" - if ! [ -f "$final_res" ]; then - touch "$final_res" - fi - if ! [ -f "$final_res_alt" ]; then - touch "$final_res_alt" - fi - for key in "${!pids_fake_chroms[@]}" - do - echo "Processing $key" - LC_ALL=C fgrep $key "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" > "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - touch "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - ./scriptAnalisiNNN_v3.sh "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" "${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}" "$annotation_file" "_" "$ref_folder" $mm $bDNA $bRNA "$guide_file" "$pam_file" "$sampleID" "$output_folder" - rm "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - rm "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - header=$(head -1 "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt") - tail -n +2 "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt" >> "$final_res" #"$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" - tail -n +2 "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt" >> "$final_res_alt" #"$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" - #cat "$final_res" "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" > "$final_res.tmp" - #cat "$final_res_alt" "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" > "$final_res_alt.tmp" - #mv "$final_res.tmp" "$final_res" - #mv "$final_res_alt.tmp" "$final_res_alt" - rm "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt" - rm "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt" - #rm "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" - #rm "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" - - done - -fi - -echo "Adding header to files" -sed -i 1i"$header" "$final_res" -sed -i 1i"$header" "$final_res_alt" - -if [ "$vcf_name" != "_" ]; then - echo "SNPs analysis ended. Starting INDELs analysis" - cd "$starting_dir" - while [ ${#pids_fake_chroms[@]} -ne 0 ]; - do - for key in "${!pids_fake_chroms[@]}" - do - echo "Checking for INDELs results for $key" - if ! [ -f "$output_folder/finished$key.txt" ]; then #kill "-0" ${pids_fake_chroms[$key]} &>/dev/null - continue - else - echo "Found results for $key, starting post-analysis" - true_chr=$key - fake_chr="fake$true_chr" - - LC_ALL=C fgrep $true_chr "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" > "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$true_chr" - ./analisi_indels_NNN.sh "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$true_chr" "$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" "${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}" "$annotation_file" "$output_folder/log_indels_$vcf_name" "$ref_folder/$true_chr.fa" $mm $bDNA $bRNA "$guide_file" "$pam_file" "$sampleID" "$output_folder" - rm "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$true_chr" - tail -n +2 "$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt" >> "$final_res" #"$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" - #cat "$final_res" "$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" > "$final_res.tmp" - #mv "$final_res.tmp" "$final_res" - tail -n +2 "$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt" >> "$final_res_alt" #"$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" - #cat "$final_res_alt" "$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" > "$final_res_alt.tmp" - #mv "$final_res_alt.tmp" "$final_res_alt" - rm "$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt" - rm "$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt" - unset pids_fake_chroms[$key] - rm "$output_folder/finished$key.txt" - fi - done - sleep 10 - done -fi - -cd "$starting_dir" -echo "Adjusting final results - sorting" -header=$(head -1 $final_res) -tail -n +2 "$final_res" | LC_ALL=C sort -T $output_folder -k5,5 -k7,7n -o "$final_res.sorted" -sed -i 1i"$header" "$final_res.sorted" -mv "$final_res.sorted" "$final_res" -if [ "$vcf_name" != "_" ]; then - header=$(head -1 $final_res_alt) - tail -n +2 "$final_res_alt" | LC_ALL=C sort -T $output_folder -k5,5 -k7,7n -o "$final_res_alt.sorted" - sed -i 1i"$header" "$final_res_alt.sorted" - mv "$final_res_alt.sorted" "$final_res_alt" -fi - -echo "AUTOMATED SEARCH END" - - - -: ' - declare -A pids_fake_chroms - if ! [ -d "fake_chrom_$vcf_name" ]; then - echo "Generating fake chromosomes for indels" - mkdir "fake_chrom_$vcf_name" - cd "$starting_dir" - for file_chr in "$vcf_folder"/* - do - chr=$(echo $file_chr | cut -f 2 -d'.') - ./ indels_process.sh "$file_chr" $chr "$output_folder/fake_chrom_$vcf_name" "$vcf_name" "$ref_folder" "$pam_file" "$guide_file" $bMax $mm $bDNA $bRNA & - pids_fake_chroms+=(["$chr"]="$!") - done - #python3 indel_process.py "$vcf_folder" $vcf_name "$output_folder/fake_chrom_$vcf_name" "$ref_folder" "$pam_file" "$guide_file" $bMax $mm $bDNA $bRNA & - cd "$output_folder/" - fi -else - declare -A pids_fake_chroms - for file_chr in "$ref_folder"/*.fa - do - file_name=$(basename $file_chr) - chr=$(echo $file_name | cut -f 1 -d'.') - echo "$chr" - pids_fake_chroms+=(["$chr"]="$!") - done -fi -' diff --git a/auto_search_corrected/automated_search_good_parallel.sh b/auto_search_corrected/automated_search_good_parallel.sh deleted file mode 100644 index 27f0eb8..0000000 --- a/auto_search_corrected/automated_search_good_parallel.sh +++ /dev/null @@ -1,294 +0,0 @@ -#!/bin/bash - -#file for automated search of guide+pam in reference and variant genomes - -ref_folder=$(realpath $1) -vcf_folder=$(realpath $2) -guide_file=$(realpath $3) -pam_file=$(realpath $4) -annotation_file=$(realpath $5) -sampleID=$(realpath $6) - -bMax=$7 -mm=$8 -bDNA=$9 -bRNA=${10} - -output_folder=$(realpath ${11}) -starting_dir=${12} -#echo $ref_folder -#echo $vcf_folder -#echo $guide_file -#echo $pam_file -#echo $annotation_file -#echo $output_folder -ref_name=$(basename $1) -#folder_of_folders=$(dirname $1) -vcf_name=$(basename $2) -guide_name=$(basename $3) - -declare -A pids_fake_chroms -for file_chr in "$ref_folder"/*.fa -do - file_name=$(basename $file_chr) - chr=$(echo $file_name | cut -f 1 -d'.') - echo "$chr" - pids_fake_chroms+=(["$chr"]="$!") -done - -if ! [ -d "$output_folder" ]; then - mkdir "$output_folder" -fi -cd "$output_folder/" - -fullseqpam=$(cut -f1 -d' ' "$pam_file") -pos=$(cut -f2 -d' ' "$pam_file") -if [ $pos -gt 0 ]; then - true_pam=${fullseqpam:${#fullseqpam}-$pos} -else - true_pam=${fullseqpam:0:-$pos} -fi - -if [ "$vcf_name" != "_" ]; then - if ! [ -d "dictionaries_$vcf_name/" ]; then - mkdir "dictionaries_$vcf_name" - cd "$starting_dir" - ./create_dict.py "$vcf_folder" "$vcf_name" "$output_folder" & - pid_dicts=$! - cd "$output_folder/" - else - echo "Dictionaries already present" - fi - dict_folder="$output_folder/dictionaries_$vcf_name/" -fi - -if ! [ -d "genome_library/"$true_pam"_${bMax}_"$ref_name ]; then - echo "Indexing reference genome" - crispritz.py index-genome "$ref_name" "$ref_folder/" "$pam_file" -bMax $bMax -th 2 & - pid_index_ref=$! -else - echo "Reference Index already present" -fi - -if [ "$vcf_name" != "_" ]; then - if ! [ -d "${ref_name}+${vcf_name}" ]; then - echo "Adding variants" - crispritz.py add-variants "$vcf_folder/" "$ref_folder/" - cp -r "variants_genome/SNPs_genome/${ref_name}_enriched/" "./${ref_name}+${vcf_name}" - rm -r "variants_genome/" - else - echo "Variants already added" - fi -fi - -while kill "-0" $pid_index_ref &>/dev/null; do - echo "Waiting for index-genome for reference genome" - sleep 10 -done - -if [ "$vcf_name" != "_" ]; then - if ! [ -d "genome_library/"$true_pam"_${bMax}_${ref_name}+${vcf_name}" ]; then - echo "Indexing variant genome" - crispritz.py index-genome "${ref_name}+${vcf_name}" "${ref_name}+${vcf_name}/" "$pam_file" -bMax $bMax -th 2 & #${ref_folder%/}+${vcf_name}/ - pid_index_var=$! - else - echo "Variant Index already present" - fi - - if ! [ -d "fake_chrom_$vcf_name" ]; then - echo "Generating fake chromosomes for indels" - mkdir "fake_chrom_$vcf_name" - cd "$starting_dir" - ./pool_indels.py "$ref_folder" "$vcf_folder" "$vcf_name" "$guide_file" "$pam_file" $bMax $mm $bDNA $bRNA "$output_folder/fake_chrom_$vcf_name" - cd "$output_folder" - else - echo "INDELs extraction already present" - for key in "${!pids_fake_chroms[@]}" - do - touch finished$key.txt - done - fi - -fi - -while kill "-0" $pid_index_var &>/dev/null; do - echo "Waiting for index-genome for variant genome" - sleep 10 -done - -while kill "-0" $pid_dicts &>/dev/null; do - echo "Waiting for dictionary creation before SNP analysis" - sleep 10 -done - - -if ! [ -f "${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" ]; then - crispritz.py search "genome_library/"$true_pam"_${bMax}_$ref_name/" "$pam_file" "$guide_file" "${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}" -index -mm $mm -bDNA $bDNA -bRNA $bRNA -t -th 2 & - pid_search_ref=$! -else - echo "Search for reference already done" -fi - -if [ "$vcf_name" != "_" ]; then - if ! [ -f "${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" ]; then - crispritz.py search "genome_library/"$true_pam"_${bMax}_${ref_name}+${vcf_name}/" "$pam_file" "$guide_file" "${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}" -index -mm $mm -bDNA $bDNA -bRNA $bRNA -t -th 2 -var - else - echo "Search for variant already done" - fi -fi - -while kill "-0" $pid_search_ref &>/dev/null; do - echo "Waiting for search genome reference" - sleep 10 -done - -cd "$starting_dir" - -echo "Start post-analysis" - -if [ "$vcf_name" != "_" ]; then - final_res="$output_folder/final_results_${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt" - final_res_alt="$output_folder/final_results_${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt" - if ! [ -f "$final_res" ]; then - touch "$final_res" - fi - if ! [ -f "$final_res_alt" ]; then - touch "$final_res_alt" - fi - - for key in "${!pids_fake_chroms[@]}" - do - echo "Processing SNPs for $key" - LC_ALL=C fgrep $key "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" > "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - LC_ALL=C fgrep $key "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" > "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - ./scriptAnalisiNNN_v3.sh "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" "${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}" "$annotation_file" "$dict_folder" "$ref_folder" $mm $bDNA $bRNA "$guide_file" "$pam_file" "$sampleID" "$output_folder" - rm "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - rm "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - header=$(head -1 "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt") - tail -n +2 "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt" >> "$final_res" #"$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" - tail -n +2 "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt" >> "$final_res_alt" #"$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" - #cat "$final_res" "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" > "$final_res.tmp" - #cat "$final_res_alt" "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" > "$final_res_alt.tmp" - #mv "$final_res.tmp" "$final_res" - #mv "$final_res_alt.tmp" "$final_res_alt" - rm "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt" - rm "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt" - #rm "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" - #rm "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" - - done -else - - final_res="$output_folder/final_results_${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt" - final_res_alt="$output_folder/final_results_${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt" - if ! [ -f "$final_res" ]; then - touch "$final_res" - fi - if ! [ -f "$final_res_alt" ]; then - touch "$final_res_alt" - fi - for key in "${!pids_fake_chroms[@]}" - do - echo "Processing $key" - LC_ALL=C fgrep $key "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" > "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - touch "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - ./scriptAnalisiNNN_v3.sh "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" "${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}" "$annotation_file" "_" "$ref_folder" $mm $bDNA $bRNA "$guide_file" "$pam_file" "$sampleID" "$output_folder" - rm "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - rm "$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - header=$(head -1 "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt") - tail -n +2 "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt" >> "$final_res" #"$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" - tail -n +2 "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt" >> "$final_res_alt" #"$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" - #cat "$final_res" "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" > "$final_res.tmp" - #cat "$final_res_alt" "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" > "$final_res_alt.tmp" - #mv "$final_res.tmp" "$final_res" - #mv "$final_res_alt.tmp" "$final_res_alt" - rm "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt" - rm "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt" - #rm "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" - #rm "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" - - done - -fi - -echo "Adding header to files" -sed -i 1i"$header" "$final_res" -sed -i 1i"$header" "$final_res_alt" - -if [ "$vcf_name" != "_" ]; then - echo "SNPs analysis ended. Starting INDELs analysis" - cd "$starting_dir" - while [ ${#pids_fake_chroms[@]} -ne 0 ]; - do - for key in "${!pids_fake_chroms[@]}" - do - echo "Checking for INDELs results for $key" - if ! [ -f "$output_folder/finished$key.txt" ]; then #kill "-0" ${pids_fake_chroms[$key]} &>/dev/null - continue - else - echo "Found results for $key, starting post-analysis" - true_chr=$key - fake_chr="fake$true_chr" - - LC_ALL=C fgrep $true_chr "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" > "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$true_chr" - ./analisi_indels_NNN.sh "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$true_chr" "$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" "${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}" "$annotation_file" "$output_folder/log_indels_$vcf_name" "$ref_folder/$true_chr.fa" $mm $bDNA $bRNA "$guide_file" "$pam_file" "$sampleID" "$output_folder" - rm "$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$true_chr" - tail -n +2 "$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt" >> "$final_res" #"$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" - #cat "$final_res" "$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" > "$final_res.tmp" - #mv "$final_res.tmp" "$final_res" - tail -n +2 "$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt" >> "$final_res_alt" #"$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" - #cat "$final_res_alt" "$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" > "$final_res_alt.tmp" - #mv "$final_res_alt.tmp" "$final_res_alt" - rm "$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt" - rm "$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt" - unset pids_fake_chroms[$key] - rm "$output_folder/finished$key.txt" - fi - done - sleep 10 - done -fi - -cd "$starting_dir" -echo "Adjusting final results - sorting" -header=$(head -1 $final_res) -tail -n +2 "$final_res" | LC_ALL=C sort -T $output_folder -k5,5 -k7,7n -o "$final_res.sorted" -sed -i 1i"$header" "$final_res.sorted" -mv "$final_res.sorted" "$final_res" -if [ "$vcf_name" != "_" ]; then - header=$(head -1 $final_res_alt) - tail -n +2 "$final_res_alt" | LC_ALL=C sort -T $output_folder -k5,5 -k7,7n -o "$final_res_alt.sorted" - sed -i 1i"$header" "$final_res_alt.sorted" - mv "$final_res_alt.sorted" "$final_res_alt" -fi - -echo "AUTOMATED SEARCH END" - - - -: ' - declare -A pids_fake_chroms - if ! [ -d "fake_chrom_$vcf_name" ]; then - echo "Generating fake chromosomes for indels" - mkdir "fake_chrom_$vcf_name" - cd "$starting_dir" - for file_chr in "$vcf_folder"/* - do - chr=$(echo $file_chr | cut -f 2 -d'.') - ./ indels_process.sh "$file_chr" $chr "$output_folder/fake_chrom_$vcf_name" "$vcf_name" "$ref_folder" "$pam_file" "$guide_file" $bMax $mm $bDNA $bRNA & - pids_fake_chroms+=(["$chr"]="$!") - done - #python3 indel_process.py "$vcf_folder" $vcf_name "$output_folder/fake_chrom_$vcf_name" "$ref_folder" "$pam_file" "$guide_file" $bMax $mm $bDNA $bRNA & - cd "$output_folder/" - fi -else - declare -A pids_fake_chroms - for file_chr in "$ref_folder"/*.fa - do - file_name=$(basename $file_chr) - chr=$(echo $file_name | cut -f 1 -d'.') - echo "$chr" - pids_fake_chroms+=(["$chr"]="$!") - done -fi -' diff --git a/auto_search_corrected/automated_search_good_parallel_v2.sh b/auto_search_corrected/automated_search_good_parallel_v2.sh deleted file mode 100644 index 6203e9a..0000000 --- a/auto_search_corrected/automated_search_good_parallel_v2.sh +++ /dev/null @@ -1,352 +0,0 @@ -#!/bin/bash - -#file for automated search of guide+pam in reference and variant genomes - -ref_folder=$(realpath $1) -vcf_folder=$(realpath $2) -guide_file=$(realpath $3) -pam_file=$(realpath $4) -annotation_file=$(realpath $5) -sampleID=$(realpath $6) - -bMax=$7 -mm=$8 -bDNA=$9 -bRNA=${10} - -merge_t=${11} - -output_folder=$(realpath ${12}) - -starting_dir=${13} -ncpus=${14} -echo "CPU used: $ncpus" - -ref_name=$(basename $1) -#folder_of_folders=$(dirname $1) -vcf_name=$(basename $2) -guide_name=$(basename $3) -pam_name=$(basename $4) -annotation_name=$(basename $5) - -if ! [ -d "$output_folder" ]; then - mkdir "$output_folder" -fi -cd "$output_folder/" - -if [ "$vcf_name" != "_" ]; then - log="log_complete_search_${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.txt" -else - log="log_complete_search_${ref_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.txt" -fi - -if ! [ -d "$output_folder/crispritz_targets" ]; then - mkdir "$output_folder/crispritz_targets" -fi - -touch $output_folder/$log - -echo "Complete search Start:" $(date +%F-%T) >> $output_folder/$log -echo "########################################" >> $output_folder/$log -echo "INPUT:" >> $output_folder/$log -echo "Reference - $ref_name" >> $output_folder/$log -echo "VCFs - $vcf_name" >> $output_folder/$log -echo "Guide - $guide_name" >> $output_folder/$log -echo "PAM - $pam_name" >> $output_folder/$log -echo "Annotation - $annotation_name" >> $output_folder/$log -echo "########################################" >> $output_folder/$log -#echo "Output - $output_folder" >> $output_folder/$log - -declare -a real_chroms -for file_chr in "$ref_folder"/*.fa -do - file_name=$(basename $file_chr) - chr=$(echo $file_name | cut -f 1 -d'.') - echo "$chr" - real_chroms+=("$chr") -done - -if [ "$vcf_name" != "_" ]; then - declare -a array_fake_chroms - for file_chr in "$vcf_folder"/*.vcf.gz - do - file_name=$(basename $file_chr) - chr=$(echo $file_name | cut -f 2 -d'.') - echo "fake$chr" - array_fake_chroms+=("fake$chr") - done -fi - -fullseqpam=$(cut -f1 -d' ' "$pam_file") -pos=$(cut -f2 -d' ' "$pam_file") -if [ $pos -gt 0 ]; then - true_pam=${fullseqpam:${#fullseqpam}-$pos} -else - true_pam=${fullseqpam:0:-$pos} -fi - -if [ "$vcf_name" != "_" ]; then - if ! [ -d "dictionaries_$vcf_name/" ]; then - echo "Dictionaries Start: "$(date +%F-%T) >> $output_folder/$log - mkdir "dictionaries_$vcf_name" - cd "$starting_dir" - ./create_dict.py "$vcf_folder" "$vcf_name" "$output_folder" "$log"& - pid_dicts=$! - cd "$output_folder/" - else - echo "Dictionaries already present" - fi - dict_folder="$output_folder/dictionaries_$vcf_name/" -fi - -if [ "$vcf_name" != "_" ]; then - if ! [ -d "$output_folder/log_indels_$vcf_name" ]; then - echo "INDELs Start: "$(date +%F-%T) >> $output_folder/$log - echo "Generating fake chromosomes for indels" - mkdir "fake_chrom_$vcf_name" - cd "$starting_dir" - ./pool_indels.py "$ref_folder" "$vcf_folder" "$vcf_name" "$guide_file" "$pam_file" $bMax $mm $bDNA $bRNA "$output_folder/fake_chrom_$vcf_name" "$log" $ncpus & - pid_indels=$! - cd "$output_folder" - else - echo "INDELs extraction already present" - # for key in "${!array_fake_chroms[@]}" - # do - # touch finished$key.txt - # done - fi - - if ! [ -d "$output_folder/${ref_name}+${vcf_name}" ]; then - echo "Add-variants Start: "$(date +%F-%T) >> $output_folder/$log - echo "Adding variants" - crispritz.py add-variants "$vcf_folder/" "$ref_folder/" - cp -r "variants_genome/SNPs_genome/${ref_name}_enriched/" "./${ref_name}+${vcf_name}" - rm -r "variants_genome/" - echo "Add-variants End: "$(date +%F-%T) >> $output_folder/$log - else - echo "Variants already added" - fi -fi - -while kill "-0" $pid_indels &>/dev/null; do - echo "Waiting for indels process" - sleep 600 -done -if [ -d "$output_folder/fake_chrom_$vcf_name" ]; then - rm -r "$output_folder/fake_chrom_$vcf_name" -fi - -if ! [ -d "$output_folder/genome_library/"$true_pam"_${bMax}_"$ref_name ]; then - echo "Index-genome Reference Start: "$(date +%F-%T) >> $output_folder/$log - echo "Indexing reference genome" - crispritz.py index-genome "$ref_name" "$ref_folder/" "$pam_file" -bMax $bMax -th $ncpus - pid_index_ref=$! - echo "Index-genome Reference End: "$(date +%F-%T) >> $output_folder/$log -else - echo "Reference Index already present" -fi - - -if [ "$vcf_name" != "_" ]; then - if ! [ -d "$output_folder/genome_library/"$true_pam"_${bMax}_${ref_name}+${vcf_name}" ]; then - echo "Index-genome Variant Start: "$(date +%F-%T) >> $output_folder/$log - echo "Indexing variant genome" - crispritz.py index-genome "${ref_name}+${vcf_name}" "${ref_name}+${vcf_name}/" "$pam_file" -bMax $bMax -th $ncpus #${ref_folder%/}+${vcf_name}/ - pid_index_var=$! - echo "Index-genome Variant Start: "$(date +%F-%T) >> $output_folder/$log - else - echo "Variant Index already present" - fi -fi - - -if ! [ -f "$output_folder/crispritz_targets/${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" ]; then - echo "Search Reference Start: "$(date +%F-%T) >> $output_folder/$log - crispritz.py search "genome_library/"$true_pam"_${bMax}_$ref_name/" "$pam_file" "$guide_file" "${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}" -index -mm $mm -bDNA $bDNA -bRNA $bRNA -t -th $(expr $ncpus / 4) & - pid_search_ref=$! -else - echo "Search for reference already done" -fi - -if [ "$vcf_name" != "_" ]; then - if ! [ -f "$output_folder/crispritz_targets/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" ]; then - echo "Search Variant Start: "$(date +%F-%T) >> $output_folder/$log - crispritz.py search "genome_library/"$true_pam"_${bMax}_${ref_name}+${vcf_name}/" "$pam_file" "$guide_file" "${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}" -index -mm $mm -bDNA $bDNA -bRNA $bRNA -t -th $(expr $ncpus / 4) -var - mv "${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" "$output_folder/crispritz_targets" - echo "Search Variant End: "$(date +%F-%T) >> $output_folder/$log - else - echo "Search for variant already done" - fi - - if ! [ -f "$output_folder/crispritz_targets/indels_${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" ]; then - echo "Search INDELs Start" - echo "Search INDELs Start: "$(date +%F-%T) >> $output_folder/$log - cd $starting_dir - ./pool_search_indels.py "$ref_folder" "$vcf_folder" "$vcf_name" "$guide_file" "$pam_file" $bMax $mm $bDNA $bRNA "$output_folder" $true_pam $ncpus - mv "$output_folder/indels_${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" "$output_folder/crispritz_targets" - echo "Search INDELs End" - echo "Search INDELs End: "$(date +%F-%T) >> $output_folder/$log - else - echo "Search INDELs already done" - fi -fi - -while kill "-0" $pid_search_ref &>/dev/null; do - echo "Waiting for search genome reference" - sleep 300 -done -if [ -f "$output_folder/${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" ]; then - mv "$output_folder/${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" "$output_folder/crispritz_targets" -fi -if ! [ -d "$output_folder/crispritz_prof" ]; then - mkdir $output_folder/crispritz_prof -fi -mv $output_folder/*profile* $output_folder/crispritz_prof/ &>/dev/null - -echo "Search Reference End: "$(date +%F-%T) >> $output_folder/$log - -while kill "-0" $pid_dicts &>/dev/null; do - echo "Waiting for dictionary creation before SNP analysis" - sleep 300 -done - - -cd "$starting_dir" - -echo "Start post-analysis" - -if [ "$vcf_name" != "_" ]; then - echo "Post-analysis SNPs Start: "$(date +%F-%T) >> $output_folder/$log - final_res="$output_folder/final_results_${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.bestMerge.txt" - final_res_alt="$output_folder/final_results_${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.altMerge.txt" - if ! [ -f "$final_res" ]; then - touch "$final_res" - else - echo "This result already exists. $final_res" - exit - fi - if ! [ -f "$final_res_alt" ]; then - touch "$final_res_alt" - else - echo "This result already exists. $final_res_alt" - exit - fi - - ./pool_post_analisi_snp.py $output_folder $ref_folder $vcf_name $guide_file $mm $bDNA $bRNA $annotation_file $pam_file $sampleID $dict_folder $final_res $final_res_alt $ncpus - - echo "Post-analysis SNPs End: "$(date +%F-%T) >> $output_folder/$log - for key in "${real_chroms[@]}" - do - tail -n +2 "$output_folder/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.bestMerge.txt" >> "$final_res" - tail -n +2 "$output_folder/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.altMerge.txt" >> "$final_res" - rm "$output_folder/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.bestMerge.txt" - rm "$output_folder/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.altMerge.txt" - done -else - - final_res="$output_folder/final_results_${ref_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.bestMerge.txt" - final_res_alt="$output_folder/final_results_${ref_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.altMerge.txt" - if ! [ -f "$final_res" ]; then - touch "$final_res" - else - echo "This result already exists. $final_res" - exit - fi - if ! [ -f "$final_res_alt" ]; then - touch "$final_res_alt" - else - echo "This result already exists. $final_res_alt" - exit - fi - for key in "${real_chroms[@]}" - do - echo "Processing $key" - LC_ALL=C grep -P "$key\t" "$output_folder/crispritz_targets/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" > "$output_folder/crispritz_targets/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - touch "$output_folder/crispritz_targets/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - ./scriptAnalisiNNN_v3.sh "$output_folder/crispritz_targets/${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" "$output_folder/crispritz_targets/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" "${ref_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key" "$annotation_file" "_" "$ref_folder" $mm $bDNA $bRNA "$guide_file" "$pam_file" "$sampleID" "$output_folder" - rm "$output_folder/crispritz_targets/${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - rm "$output_folder/crispritz_targets/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - header=$(head -1 "$output_folder/${ref_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.bestMerge.txt") - tail -n +2 "$output_folder/${ref_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.bestMerge.txt" >> "$final_res" #"$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" - tail -n +2 "$output_folder/${ref_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.altMerge.txt" >> "$final_res" #"$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" - rm "$output_folder/${ref_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.bestMerge.txt" - rm "$output_folder/${ref_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.altMerge.txt" - - done - -fi - -echo "Adding header to files" -sed -i 1i"#Bulge_type\tcrRNA\tDNA\tReference\tChromosome\tPosition\tCluster_Position\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tVar_uniq\tSamples\tAnnotation_Type\tReal_Guide\trsID\tAF\tSNP\t#Seq_in_cluster\tCFD\tCFD_ref\tMMBLG_#Bulge_type\tMMBLG_crRNA\tMMBLG_DNA\tMMBLG_Reference\tMMBLG_Chromosome\tMMBLG_Position\tMMBLG_Cluster_Position\tMMBLG_Direction\tMMBLG_Mismatches\tMMBLG_Bulge_Size\tMMBLG_Total\tMMBLG_PAM_gen\tMMBLG_Var_uniq\tMMBLG_Samples\tMMBLG_Annotation_Type\tMMBLG_Real_Guide\tMMBLG_rsID\tMMBLG_AF\tMMBLG_SNP\tMMBLG_#Seq_in_cluster\tMMBLG_CFD\tMMBLG_CFD_ref" "$final_res" -#sed -i 1i"#Bulge_type\tcrRNA\tDNA\tReference\tChromosome\tPosition\tCluster_Position\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tVar_uniq\tSamples\tAnnotation_Type\tReal_Guide\trsID\tAF\tSNP\t#Seq_in_cluster\tCFD\tCFD_ref\tMMBLG_#Bulge_type\tMMBLG_crRNA\tMMBLG_DNA\tMMBLG_Reference\tMMBLG_Chromosome\tMMBLG_Position\tMMBLG_Cluster_Position\tMMBLG_Direction\tMMBLG_Mismatches\tMMBLG_Bulge_Size\tMMBLG_Total\tMMBLG_PAM_gen\tMMBLG_Var_uniq\tMMBLG_Samples\tMMBLG_Annotation_Type\tMMBLG_Real_Guide\tMMBLG_rsID\tMMBLG_AF\tMMBLG_SNP\tMMBLG_#Seq_in_cluster\tMMBLG_CFD\tMMBLG_CFD_ref" "$final_res_alt" - -if [ "$vcf_name" != "_" ]; then - echo "SNPs analysis ended. Starting INDELs analysis" - cd "$starting_dir" - - echo "Post-analysis INDELs Start: "$(date +%F-%T) >> $output_folder/$log - ./pool_post_analisi_indel.py $output_folder $ref_folder $vcf_folder $guide_file $mm $bDNA $bRNA $annotation_file $pam_file $sampleID "$output_folder/log_indels_$vcf_name" $final_res $final_res_alt $ncpus - echo "Post-analysis INDELs End: "$(date +%F-%T) >> $output_folder/$log - for key in "${array_fake_chroms[@]}" - do - tail -n +2 "$output_folder/${key}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.bestMerge.txt" >> "$final_res" - tail -n +2 "$output_folder/${key}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.altMerge.txt" >> "$final_res" - rm "$output_folder/${key}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.bestMerge.txt" - rm "$output_folder/${key}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.altMerge.txt" - done - -fi - -echo "Merging Close Targets Start: "$(date +%F-%T) >> $output_folder/$log -./merge_close_targets_cfd.sh $final_res $final_res.trimmed $merge_t -mv $final_res.trimmed $final_res -mv $final_res.trimmed.discarded_samples $final_res_alt - -#./merge_close_targets_cfd.sh $final_res_alt $final_res_alt.trimmed $merge_t -#rm $final_res_alt -echo "Merging Close Targets End: "$(date +%F-%T) >> $output_folder/$log - -echo "Merging Alternative Chromosomes Start: "$(date +%F-%T) >> $output_folder/$log -./merge_alt_chr.sh $final_res $final_res.chr_merged -#rm $final_res.trimmed - -#./merge_alt_chr.sh $final_res_alt.trimmed $final_res_alt.trimmed.chr_merged -#rm $final_res_alt.trimmed -echo "Merging Alternative Chromosomes End: "$(date +%F-%T) >> $output_folder/$log - -mv $final_res.chr_merged $final_res -#mv $final_res_alt.trimmed.chr_merged $final_res_alt - -sed -i '1 s/^.*$/#Bulge_type\tcrRNA\tDNA\tReference\tChromosome\tPosition\tCluster_Position\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tVar_uniq\tSamples\tAnnotation_Type\tReal_Guide\trsID\tAF\tSNP\t#Seq_in_cluster\tCFD\tCFD_ref\tMMBLG_#Bulge_type\tMMBLG_crRNA\tMMBLG_DNA\tMMBLG_Reference\tMMBLG_Chromosome\tMMBLG_Position\tMMBLG_Cluster_Position\tMMBLG_Direction\tMMBLG_Mismatches\tMMBLG_Bulge_Size\tMMBLG_Total\tMMBLG_PAM_gen\tMMBLG_Var_uniq\tMMBLG_Samples\tMMBLG_Annotation_Type\tMMBLG_Real_Guide\tMMBLG_rsID\tMMBLG_AF\tMMBLG_SNP\tMMBLG_#Seq_in_cluster\tMMBLG_CFD\tMMBLG_CFD_ref/' "$final_res" -sed -i '1 s/^.*$/#Bulge_type\tcrRNA\tDNA\tReference\tChromosome\tPosition\tCluster_Position\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tVar_uniq\tSamples\tAnnotation_Type\tReal_Guide\trsID\tAF\tSNP\t#Seq_in_cluster\tCFD\tCFD_ref\tMMBLG_#Bulge_type\tMMBLG_crRNA\tMMBLG_DNA\tMMBLG_Reference\tMMBLG_Chromosome\tMMBLG_Position\tMMBLG_Cluster_Position\tMMBLG_Direction\tMMBLG_Mismatches\tMMBLG_Bulge_Size\tMMBLG_Total\tMMBLG_PAM_gen\tMMBLG_Var_uniq\tMMBLG_Samples\tMMBLG_Annotation_Type\tMMBLG_Real_Guide\tMMBLG_rsID\tMMBLG_AF\tMMBLG_SNP\tMMBLG_#Seq_in_cluster\tMMBLG_CFD\tMMBLG_CFD_ref/' "$final_res_alt" - -echo "Cleaning directory" - -if ! [ -d "$output_folder/cfd_graphs" ]; then - mkdir $output_folder/cfd_graphs -fi -./assemble_cfd_graphs.py $output_folder -mv $output_folder/snps.CFDGraph.txt $output_folder/cfd_graphs -mv $output_folder/indels.CFDGraph.txt $output_folder/cfd_graphs - -echo "Automated Search End: "$(date +%F-%T) >> $output_folder/$log -echo "AUTOMATED SEARCH END" - -: ' - -echo "Adjusting Results Start: "$(date +%F-%T) >> $output_folder/$log -cd "$starting_dir" -echo "Adjusting final results - sorting" -header=$(head -1 $final_res) -tail -n +2 "$final_res" | LC_ALL=C sort -T $output_folder -k5,5 -k7,7n -o "$final_res.sorted" -sed -i 1i"$header" "$final_res.sorted" -mv "$final_res.sorted" "$final_res" -if [ "$vcf_name" != "_" ]; then - header=$(head -1 $final_res_alt) - tail -n +2 "$final_res_alt" | LC_ALL=C sort -T $output_folder -k5,5 -k7,7n -o "$final_res_alt.sorted" - sed -i 1i"$header" "$final_res_alt.sorted" - mv "$final_res_alt.sorted" "$final_res_alt" -fi -echo "Adjusting Results End: "$(date +%F-%T) >> $output_folder/$log - -' \ No newline at end of file diff --git a/auto_search_corrected/azimuth/FC_plus_RES_withPredictions.csv b/auto_search_corrected/azimuth/FC_plus_RES_withPredictions.csv deleted file mode 100644 index 29c0e84..0000000 --- a/auto_search_corrected/azimuth/FC_plus_RES_withPredictions.csv +++ /dev/null @@ -1,5311 +0,0 @@ -,30mer,Target gene,Percent Peptide,Amino Acid Cut position,score_drug_gene_rank,score_drug_gene_threshold,drug,predictions -0,CAGAAAAAAAAACACTGCAACAAGAGGGTA,CD5,72.87,360.0,0.083682008,0,nodrug,0.544411858399077 -1,TTTTAAAAAACCTACCGTAAACTCGGGTCA,NF1,65.8,1868.0,0.868206522,1,PLX_2uM,0.6175122137988865 -2,TCAGAAAAAGCAGCGTCAGTGGATTGGCCC,CD5,84.21,416.0,0.18410041800000002,0,nodrug,0.47623183469474284 -3,AATAAAAAATAGGATTCCCAGCTTTGGAAG,NF1,56.39,1601.0,0.43206521700000006,0,PLX_2uM,0.45988200093404785 -4,GATGAAAAATATGTAAACAGCATTTGGGAC,CUL3,4.3,33.0,0.149350649,0,PLX_2uM,0.2908406196776585 -5,TTCCAAAAATTCTAACGTGAGGTGTGGCTC,NF1,67.7,1922.0,0.239130435,0,PLX_2uM,0.570407965512794 -6,CCAGAAAACAACGGCCCAGGAGGGCGGCCA,CD5,52.23,258.0,0.18828451899999998,0,nodrug,0.5924848939845893 -7,TTAGAAAACATGTTCCAGAGCAGTTGGTAG,NF1,44.24,1256.0,0.533967391,0,PLX_2uM,0.619402316314524 -8,GCCAAAAACCAGGGGCCGGTGCTGAGGGCA,MED12,16.31,355.0,0.579004329,0,AZD_200nM,0.49474304315991835 -9,GCCAAAAACCAGGGGCCGGTGCTGAGGGCA,MED12,16.31,355.0,0.612554113,0,PLX_2uM,0.49474304315991835 -10,AACAAAAACCTAGCCGGCTCCAAACGGGGA,TADA2B,78.1,328.0,0.084210526,0,AZD_200nM,0.37522693131138174 -11,CGTCAAAACTGGAAGGAATGTTTAGGGATA,CUL3,61.72,474.0,0.188311688,0,PLX_2uM,0.41434369434043977 -12,TTCAAAAAGATCGTACATGTTCACCGGAGG,TADA1,82.39,276.0,0.71559633,0,AZD_200nM,0.5607602116665414 -13,ATACAAAAGGAAGATTGCTGATGAGGGCAG,CD45,41.95,474.0,0.581227437,0,nodrug,0.6174712870877812 -14,GGTGAAAAGGACCCCACGAAGTGTTGGATA,HPRT1,78.44,171.0,0.34375,0,6TG_2ug/mL,0.500409190116154 -15,TCCTAAAAGGCAAGAAATGGAATCAGGGAT,NF1,90.17,2560.0,0.282608696,0,PLX_2uM,0.2402105197477595 -16,CAATAAAAGTATCAGTGTGTATAGAGGTGA,THY1,76.54,124.0,0.677419355,0,nodrug,0.5123059644513027 -17,ATGAAAAATATGTAAACAGCATTTGGGACC,CUL3,4.3,33.0,0.24675324699999998,0,PLX_2uM,0.40986192606716154 -18,TGATAAAATCTACAGTCATAGGAATGGATC,HPRT1,43.12,94.0,0.5625,0,6TG_2ug/mL,0.5861378368861838 -19,GTGCAAAATTAAAACGACTCCTGAAGGGTA,NF1,6.83,194.0,0.100543478,0,PLX_2uM,0.5083450384103347 -20,CACCAAACACAAGTGGGAGCAGGCTGGTGA,H2-K,46.07,170.0,0.692307692,0,nodrug,0.642402241716234 -21,TTTAAAACAGACTTTCTCTCTAAGTGGTTT,NF1,58.51,1661.0,0.975543478,1,PLX_2uM,0.5916098640442418 -22,AAGAAAACAGGGGCCCGAAACCCAAGGCAG,NF1,18.25,518.0,0.44293478299999994,0,PLX_2uM,0.6313676905098193 -23,AACGAAACAGTGACGTTCCGTCTCTGGAAT,CD28,45.87,100.0,0.013513513999999999,0,nodrug,0.4439004530287398 -24,TGGAAAACAGTGTGCAGTTCCAGTTGGAGG,CD5,12.55,62.0,0.715481172,0,nodrug,0.6305218551122606 -25,TGAGAAACATAAGGAGTATAGCCCTGGAGG,MED12,89.25,1943.0,0.198051948,0,AZD_200nM,0.3551152316511869 -26,TGAGAAACATAAGGAGTATAGCCCTGGAGG,MED12,89.25,1943.0,0.1504329,0,PLX_2uM,0.3551152316511869 -27,TCCGAAACATCTCGTACAGTGACAAGGAGG,NF2,45.04,268.0,0.632286996,0,PLX_2uM,0.6712923253532699 -28,AAAAAAACATGATATCTAAGTTAAAGGTAA,CUL3,59.64,458.0,0.071428571,0,PLX_2uM,0.3396189215594716 -29,CCAAAAACCAGGGGCCGGTGCTGAGGGCAC,MED12,16.26,354.0,0.477272727,0,AZD_200nM,0.5546447059757476 -30,CCAAAAACCAGGGGCCGGTGCTGAGGGCAC,MED12,16.26,354.0,0.533549784,0,PLX_2uM,0.5546447059757476 -31,ACAAAAACCTAGCCGGCTCCAAACGGGGAA,TADA2B,78.1,328.0,0.126315789,0,AZD_200nM,0.3835387749328504 -32,CCAGAAACGCCTAAGCCTAGTTGTGGGGAT,CD45,19.56,221.0,0.657039711,0,nodrug,0.5713270026541496 -33,ACAGAAACTGATGGGCTGGCATTCTGGGCT,CD43,11.14,44.0,0.007246376999999999,0,nodrug,0.19189369407064918 -34,TGCTAAACTGCCCACCTCAGTCCAGGGACA,MED12,66.1,1439.0,0.8365800870000001,1,AZD_200nM,0.7059911675473216 -35,TGCTAAACTGCCCACCTCAGTCCAGGGACA,MED12,66.1,1439.0,0.851731602,1,PLX_2uM,0.7059911675473216 -36,CTTCAAAGAAGGCCACTCGGGACTTGGCGC,NF2,98.66,587.0,0.139013453,0,PLX_2uM,0.22604443085192696 -37,TGACAAAGACTTCTGTGTCCAGAAGGGCAA,CD45,1.5,17.0,0.996389892,1,nodrug,0.6728217154459321 -38,CCCCAAAGAGGAGGAGAAGGTGCAAGGCCA,CD43,1.01,4.0,0.644927536,0,nodrug,0.5940822656150905 -39,CAGAAAAGAGTGATGGCACTGCTGAGGCGC,NF1,26.88,763.0,0.6902173909999999,0,PLX_2uM,0.6298749852388108 -40,ATGAAAAGATCTACTGCCCTCCTGAGGCTT,NF2,22.69,135.0,0.9372197309999999,1,PLX_2uM,0.7471390018736193 -41,AAGGAAAGCAGACTTATGGAGACATGGAAG,CD45,80.62,911.0,0.725631769,0,nodrug,0.5854654184578774 -42,GAGGAAAGCAGCCAGGACAGCAGTGGGCAG,CD33,80.49,293.0,0.26406926399999997,0,nodrug,0.5403754540040818 -43,TGGTAAAGCAGTCGCCCCTGCTTGTGGTAG,CD28,13.76,30.0,0.405405405,0,nodrug,0.5893242228362328 -44,CTCAAAAGCATGTCTTGGTGCTGGTGGGAT,CUL3,68.62,527.0,0.279220779,0,PLX_2uM,0.4613847191572748 -45,ATGCAAAGCCATATGAAATTGTAGTGGACC,NF1,57.84,1642.0,0.9646739129999999,1,PLX_2uM,0.7199002459027667 -46,ACGAAAAGCTCTTGCTGGCCATGGAGGAAG,NF1,10.92,310.0,0.36956521700000006,0,PLX_2uM,0.6781406532931712 -47,AGGTAAAGCTCTTGTTTCTGAAGAAGGAGA,CUL3,43.1,331.0,0.62987013,0,PLX_2uM,0.49966718918634156 -48,AAGGAAAGCTTATCGGTTACGAGATGGTCA,TADA1,59.7,200.0,0.568807339,0,AZD_200nM,0.6154171378893125 -49,CCTCAAAGCTTCGTGTTAATAAGCTGGTAA,NF2,49.41,294.0,0.439461883,0,PLX_2uM,0.5705774338363366 -50,ATCAAAAGGAGATACTTACACAACAGGAAA,NF1,93.59,2657.0,0.669836957,0,PLX_2uM,0.23175509522180537 -51,ATTGAAAGGATCATCACGAAACTCTGGCAT,TADA1,91.94,308.0,0.23853211,0,AZD_200nM,0.4406354963902275 -52,CCTAAAAGGCAAGAAATGGAATCAGGGATC,NF1,90.21,2561.0,0.266304348,0,PLX_2uM,0.38904290029634647 -53,AGCAAAAGGCCACAGTTATTGTCATGGTCA,CD45,50.88,575.0,0.653429603,0,nodrug,0.6741945739866068 -54,CTGAAAAGGCCCAGATCACCGAGGAGGAGG,NF2,65.88,392.0,0.6008968610000001,0,PLX_2uM,0.7274310081298514 -55,CCGGAAAGGCCCGGATCCGCATCTTGGTGT,CUL3,2.08,16.0,0.506493506,0,PLX_2uM,0.484396171965372 -56,TGTTAAAGGCTGCTGGGGAAGAATTGGAGA,MED12,66.61,1450.0,0.6536796539999999,0,AZD_200nM,0.4336739339986081 -57,TGTTAAAGGCTGCTGGGGAAGAATTGGAGA,MED12,66.61,1450.0,0.7629870129999999,0,PLX_2uM,0.4336739339986081 -58,CCGCAAAGGGACAGCAGAAACTGGTGGGTT,MED12,36.29,790.0,0.6991341990000001,0,AZD_200nM,0.6403670819449289 -59,CCGCAAAGGGACAGCAGAAACTGGTGGGTT,MED12,36.29,790.0,0.6829004329999999,0,PLX_2uM,0.6403670819449289 -60,AAAAAAAGTAATTCACTTACAGTCTGGCTT,HPRT1,81.65,178.0,0.375,0,6TG_2ug/mL,0.42952609950621534 -61,CACAAAAGTAGTCGCCCTCATCCTTGGTGG,THY1,61.11,99.0,0.612903226,0,nodrug,0.5468501975621566 -62,CTGCAAAGTCTCTGGCAGGGGCGTAGGGCT,CD28,95.41,208.0,0.5,0,nodrug,0.3304016683981944 -63,GATGAAAGTGCGCAAACAGGTGGCAGGAAA,NF1,39.77,1129.0,0.22826087,0,PLX_2uM,0.5710475192012436 -64,TCAGAAATAATACCAACAACTGGAGGGAGA,CD13,76.53,740.0,0.752747253,0,nodrug,0.5760529153812876 -65,GTGGAAATACCAGTCAAATGTCCATGGATC,NF1,22.68,644.0,0.39673913,0,PLX_2uM,0.6243503475095715 -66,ACCCAAATCAAAGGAAATAGAAAATGGTCA,CUL3,85.16,654.0,0.75974026,0,PLX_2uM,0.3776143351358685 -67,GAGTAAATCCACTTACCTATAGGAAGGGTC,NF1,87.53,2485.0,0.546195652,0,PLX_2uM,0.5140931709299936 -68,CAGGAAATCCATGAGCCTGGACATGGGGCA,NF1,88.94,2525.0,0.710597826,0,PLX_2uM,0.4453548165549907 -69,CCAAAAATCCCCGCTTGTGAACACTGGGGT,NF2,26.39,157.0,0.502242152,0,PLX_2uM,0.5168211871016367 -70,TTCCAAATCCTCAGCATAATGATTAGGTAT,HPRT1,12.39,27.0,0.3125,0,6TG_2ug/mL,0.5035094465707799 -71,TAATAAATCTGTATCAGATGACTCCGGAAA,NF2,30.25,180.0,0.34529148,0,PLX_2uM,0.6508489780667635 -72,TTCTAAATGACATTTATTATGCTTCGGAAA,NF1,62.87,1785.0,0.22554347800000002,0,PLX_2uM,0.4310209889317773 -73,CCAGAAATGATGATTGCTGCTCAGGGGCCA,CD45,76.28,862.0,0.931407942,1,nodrug,0.6296470119577849 -74,CGATAAATGCCAGGAAGCTACTGCAGGTAT,MED12,20.58,448.0,0.8019480520000001,1,AZD_200nM,0.6203210170059139 -75,CGATAAATGCCAGGAAGCTACTGCAGGTAT,MED12,20.58,448.0,0.8906926409999999,1,PLX_2uM,0.6203210170059139 -76,TCCAAAATGCTAAGTGTGGAAATGAGGATT,CD45,6.55,74.0,0.38628158799999995,0,nodrug,0.5747327852961114 -77,TGCAAAATTAAAACGACTCCTGAAGGGTAA,NF1,6.83,194.0,0.900815217,1,PLX_2uM,0.6817258650647677 -78,TCATAAATTCCTCAAACTTTGAACTGGTAA,NF1,55.2,1567.0,0.75951087,0,PLX_2uM,0.44579538219453557 -79,ATCCAAATTTCTGGCTGCAAGTGCAGGAGT,CD33,6.87,25.0,0.20129870100000002,0,nodrug,0.5120353802369727 -80,GATAAAATTTGGCCAAGAAGTGAAAGGTGA,NF2,15.97,95.0,0.677130045,0,PLX_2uM,0.6506766709482937 -81,TTCCAACAAAATGTCAGAATGGATTGGCTC,CD45,40.71,460.0,0.288808664,0,nodrug,0.48605022058244024 -82,GATGAACAACAGGAACTCGTTGAAAGGGGT,CD45,39.47,446.0,0.458483755,0,nodrug,0.48164401285237457 -83,AGACAACAAGAGCTCTTGGTTGCAGGGATG,NF1,79.08,2245.0,0.61548913,0,PLX_2uM,0.45545032164644444 -84,TAGAAACAATATTGGATAAAGCAATGGTCC,CUL3,54.04,415.0,0.28571428600000004,0,PLX_2uM,0.5916450040521954 -85,AAGCAACAATGGCCAACGAAGCACTGGTGA,NF2,62.69,373.0,0.874439462,1,PLX_2uM,0.5487629833590951 -86,TCAAAACACTCAAGCACCCAGGTCAGGAAC,MED12,11.76,256.0,0.861471861,1,AZD_200nM,0.5617918932915468 -87,TCAAAACACTCAAGCACCCAGGTCAGGAAC,MED12,11.76,256.0,0.811688312,1,PLX_2uM,0.5617918932915468 -88,TGGTAACACTGAGACAGCTTCTCCTGGGCA,CD5,69.64,344.0,0.468619247,0,nodrug,0.4556350806528465 -89,GAGGAACAGAAGAACTTCCAGAGGAGGAGG,MED12,57.46,1251.0,0.795454545,0,AZD_200nM,0.6694770670686006 -90,GAGGAACAGAAGAACTTCCAGAGGAGGAGG,MED12,57.46,1251.0,0.8560606059999999,1,PLX_2uM,0.6694770670686006 -91,CAGCAACAGACAGCAGCTTTGGTCCGGCAA,MED12,98.99,2155.0,0.00974026,0,AZD_200nM,0.1708750175128909 -92,CAGCAACAGACAGCAGCTTTGGTCCGGCAA,MED12,98.99,2155.0,0.03030303,0,PLX_2uM,0.1708750175128909 -93,CCAGAACAGCAACGGTCGCCATGTTGGAGA,H2-K,82.66,305.0,0.426035503,0,nodrug,0.5072004451839539 -94,CGCCAACAGCAGGAGCAGCGTGCACGGTAC,H2-K,1.36,5.0,0.7692307690000001,0,nodrug,0.6002272872934398 -95,GTCAAACAGCTCACTGATCTGGGCCGGCGT,CD13,48.29,467.0,0.685714286,0,nodrug,0.5450770952809036 -96,AGACAACAGCTGAAACAGCCTCCTCGGTGA,TADA1,50.75,170.0,0.834862385,1,AZD_200nM,0.5568530268936819 -97,TGGAAACAGTCACAGAAGCTTTGTTGGAGA,NF1,77.81,2209.0,0.523097826,0,PLX_2uM,0.3545229735068057 -98,CTGTAACAGTGGACGAACTCGCCACGGATC,NF1,99.12,2814.0,0.044836957000000004,0,PLX_2uM,0.24139256904600198 -99,CATGAACATGACTCCCCGGAGGCCTGGGCT,CD28,89.91,196.0,0.054054054000000004,0,nodrug,0.24308282606995213 -100,GGTCAACATGTCTCTTCTTAACCTTGGTCT,MED12,8.04,175.0,0.594155844,0,AZD_200nM,0.5011373614015928 -101,GGTCAACATGTCTCTTCTTAACCTTGGTCT,MED12,8.04,175.0,0.6980519479999999,0,PLX_2uM,0.5011373614015928 -102,TTATAACCAAAGAAAACTTGTATTTGGAAA,NF1,1.73,49.0,0.09239130400000001,0,PLX_2uM,0.1603345104847015 -103,ATAGAACCAGGGTTTGGGTGGTGCAGGAGG,MED12,83.69,1822.0,0.386363636,0,AZD_200nM,0.3820730348122858 -104,ATAGAACCAGGGTTTGGGTGGTGCAGGAGG,MED12,83.69,1822.0,0.37337662299999996,0,PLX_2uM,0.3820730348122858 -105,TCAAAACCAGTGCAACAGGTGGCTTGGGAT,NF1,71.22,2022.0,0.214673913,0,PLX_2uM,0.3700717773941638 -106,AAGCAACCCAAGACGTTCACCGTGAGGATC,NF2,4.03,24.0,0.892376682,1,PLX_2uM,0.685805422262064 -107,CCCAAACCCAGCGGGCCTGGCCCCAGGCAC,CD5,75.91,375.0,0.054393305,0,nodrug,0.3809323068780741 -108,CAGGAACCCCATGGTCTGGCCAGCTGGTGA,CD45,57.08,645.0,0.108303249,0,nodrug,0.45935474365282714 -109,CTTCAACCCCTCAAAAAGATCCCAGGGCGA,MED12,77.58,1689.0,0.8008658009999999,1,AZD_200nM,0.5668920028610501 -110,CTTCAACCCCTCAAAAAGATCCCAGGGCGA,MED12,77.58,1689.0,0.768398268,0,PLX_2uM,0.5668920028610501 -111,ACACAACCGCCAAGGCCGATGCAGAGGCTG,CCDC101,23.89,70.0,0.932885906,1,AZD_200nM,0.5723678862250695 -112,CATGAACCGCTGGACCCTGCAGATGGGCTT,CD13,56.46,546.0,0.363736264,0,nodrug,0.5852724436823862 -113,CAAAAACCTAGCCGGCTCCAAACGGGGAAA,TADA2B,78.1,328.0,0.542105263,0,AZD_200nM,0.5919002076179043 -114,CATAAACCTGATGTCTCTAGTAACTGGCCC,NF1,66.64,1892.0,0.50951087,0,PLX_2uM,0.3886417224629452 -115,CACAAACCTGTGGCAGATACACACTGGTCC,NF1,54.88,1558.0,0.857336957,1,PLX_2uM,0.7121848839556527 -116,CCAGAACGATCTCTTCAGCACATCAGGCAA,CD13,63.5,614.0,0.07802197799999999,0,nodrug,0.4119677088408929 -117,CGGTAACGATTCCACGCTTTACTTTGGTCC,CD13,7.03,68.0,0.150549451,0,nodrug,0.3998991238503122 -118,TTCGAACGCACCTCCTTCTGTTTGGGGTCC,MED12,1.38,30.0,0.15259740300000002,0,AZD_200nM,0.39933864592233476 -119,TTCGAACGCACCTCCTTCTGTTTGGGGTCC,MED12,1.38,30.0,0.21645021600000003,0,PLX_2uM,0.39933864592233476 -120,CAGAAACGCCTAAGCCTAGTTGTGGGGATC,CD45,19.56,221.0,0.83032491,1,nodrug,0.708602249072967 -121,CGGGAACGCGACGCTGCTGCGCACAGGTGC,H2-K,54.74,202.0,0.526627219,0,nodrug,0.5197948337113282 -122,TGACAACGCGTGAGAATGGCCAGGAGGAAA,TADA1,19.1,64.0,0.9724770640000001,1,AZD_200nM,0.6950101635564532 -123,AATCAACGGAAGAACCAATTGTAAAGGTGG,CUL3,33.98,261.0,0.558441558,0,PLX_2uM,0.5783741794995475 -124,AAACAACGGCCCAGGAGGGCGGCCAGGCGC,CD5,52.63,260.0,0.21338912100000001,0,nodrug,0.400783194637463 -125,TAAAAACGTACAGGCCCCTGTCATTGGGGG,CD13,10.03,97.0,0.279120879,0,nodrug,0.40262694120436376 -126,TGAAAACGTGGACGGCGGCGGACATGGCGG,H2-K,42.82,158.0,0.473372781,0,nodrug,0.4851404289145021 -127,CCTTAACTACAGGCAAGGCTCCATAGGCCT,MED12,84.43,1838.0,0.296536797,0,AZD_200nM,0.46791802862334353 -128,CCTTAACTACAGGCAAGGCTCCATAGGCCT,MED12,84.43,1838.0,0.32683982699999997,0,PLX_2uM,0.46791802862334353 -129,TGGAAACTACTGAATTGTCTTCTTTGGAGA,CD43,21.27,84.0,0.065217391,0,nodrug,0.24326173260147355 -130,TTTTAACTAGAATGACCAGTCAACAGGGGA,HPRT1,50.46,110.0,0.40625,0,6TG_2ug/mL,0.398066122908845 -131,GTGGAACTCAGTGACATTCCAGTTGGGGTC,CD13,27.3,264.0,0.403296703,0,nodrug,0.47234880070959284 -132,CAGAAACTGATGGGCTGGCATTCTGGGCTT,CD43,11.14,44.0,0.057971014,0,nodrug,0.321747486079785 -133,GATGAACTGCACATGCTGCACCAGAGGCAA,MED12,39.96,870.0,0.49891774899999997,0,AZD_200nM,0.609625418351504 -134,GATGAACTGCACATGCTGCACCAGAGGCAA,MED12,39.96,870.0,0.7218614720000001,0,PLX_2uM,0.609625418351504 -135,ACAGAACTGGTTGCTGTGGTAGCAGGGAGT,CD43,51.9,205.0,0.8623188409999999,1,nodrug,0.5929168435215941 -136,TTTCAACTGTCCCCTCAGGTGGGGAGGATG,MED12,37.16,809.0,0.067099567,0,AZD_200nM,0.47746205808227665 -137,TTTCAACTGTCCCCTCAGGTGGGGAGGATG,MED12,37.16,809.0,0.06385281400000001,0,PLX_2uM,0.47746205808227665 -138,AGCCAACTTCACCACCAAGGATGAGGGCGA,THY1,61.11,99.0,0.870967742,1,nodrug,0.616933131267643 -139,GCTGAACTTCGGAATTCTGCCTCTGGGGTT,NF1,4.9,139.0,0.44701087,0,PLX_2uM,0.4328516959575935 -140,CTCTAACTTTAACTTTGCATTGGTTGGACA,NF1,84.18,2390.0,0.20108695699999998,0,PLX_2uM,0.3360758786132965 -141,CAAGAAGAAAATAAGAAGAAGAACAGGAAT,CD45,70.62,798.0,0.259927798,0,nodrug,0.39139742326759847 -142,CTAAAAGAAACGATCGGTGACTTTTGGCAG,CD45,77.17,872.0,0.306859206,0,nodrug,0.3196097604646042 -143,CAAGAAGAACTTAAGCGAGGCCCTGGGGGA,TADA1,5.37,18.0,0.944954128,1,AZD_200nM,0.567163101426208 -144,TCGAAAGACAGGCTGTCACCAATGAGGTTG,NF2,84.2,501.0,0.587443946,0,PLX_2uM,0.632692758977932 -145,AAGGAAGACTGGCGCATGGTCCACTGGTCC,MED12,62.2,1354.0,0.9837662340000001,1,AZD_200nM,0.5816193303149652 -146,AAGGAAGACTGGCGCATGGTCCACTGGTCC,MED12,62.2,1354.0,0.993506494,1,PLX_2uM,0.5816193303149652 -147,ATTGAAGAGAGACAGTACATGCCCTGGGAG,CD13,71.77,694.0,0.992307692,1,nodrug,0.5857518339310746 -148,AGCGAAGAGCCAAGCAGAAGCTCCTGGAGA,NF2,79.33,472.0,0.340807175,0,PLX_2uM,0.3924092307469042 -149,TAGGAAGAGCTGGGAGTCATCTGATGGACA,MED12,88.61,1929.0,0.29978355,0,AZD_200nM,0.45261782652197247 -150,TAGGAAGAGCTGGGAGTCATCTGATGGACA,MED12,88.61,1929.0,0.449134199,0,PLX_2uM,0.45261782652197247 -151,AGAGAAGAGGAAGCACGTGCTCTCAGGCAC,THY1,39.51,64.0,0.20967741899999998,0,nodrug,0.5048226135269286 -152,GCCCAAGAGGAATTGCTTCCAAAAAGGGTA,NF2,28.74,171.0,0.21973094199999998,0,PLX_2uM,0.35351821972290276 -153,GATGAAGATGAGAAGGAGAAACACAGGTAG,H2-K,90.51,334.0,0.165680473,0,nodrug,0.4769984452586012 -154,AGGGAAGATGAGCTGCCACATCAAGGGAAT,NF1,73.79,2095.0,0.36820652200000004,0,PLX_2uM,0.5276122654962044 -155,AGGTAAGATGTTTGGTATTGTGGTGGGGAT,NF1,94.96,2696.0,0.262228261,0,PLX_2uM,0.34982759142769204 -156,TGTAAAGCAAGTACTTACATCAATTGGGAA,NF1,11.8,335.0,0.14945652199999998,0,PLX_2uM,0.34156284807548537 -157,GGAAAAGCAGGTACGAGGCCAGGGAGGAGG,CD15,88.3,468.0,0.5970695970000001,0,nodrug,0.5413139521509915 -158,CTGGAAGCAGTGCTGATGTCTTGCTGGAAA,CD43,27.59,109.0,0.384057971,0,nodrug,0.4585157290903393 -159,GGCCAAGCATGGAGGAAGGCACTCGGGCTT,CD45,53.01,599.0,0.566787004,0,nodrug,0.6248557972715859 -160,TCAAAAGCATGTCTTGGTGCTGGTGGGATG,CUL3,68.49,526.0,0.974025974,1,PLX_2uM,0.6333755611504969 -161,TCGAAAGCCAGGTAGAACTTGTAGCGGGCC,CD15,76.79,407.0,0.6886446890000001,0,nodrug,0.6558550538464056 -162,GCTGAAGCCCCTGGCGCTGGAACTGGGTGG,MED12,98.16,2137.0,0.051948052,0,AZD_200nM,0.048047398015562647 -163,GCTGAAGCCCCTGGCGCTGGAACTGGGTGG,MED12,98.16,2137.0,0.023809524,0,PLX_2uM,0.048047398015562647 -164,CTTCAAGCCCCTTTCGATTCTAGGTGGTGG,NF1,50.51,1434.0,0.9415760870000001,1,PLX_2uM,0.6760602397663041 -165,CCAAAAGCCGCCTTCCTAGCTACCTGGACA,TADA2B,94.29,396.0,0.24210526300000001,0,AZD_200nM,0.4099898997233438 -166,GTTGAAGCGCAGCCGGCAGTCAGGGGGCGG,CD15,39.62,210.0,0.582417582,0,nodrug,0.584514994931369 -167,TTGTAAGCTACTACACTATTCTTCAGGTAT,TADA1,65.37,219.0,0.19266055,0,AZD_200nM,0.39476045267989474 -168,AGAAAAGCTATTTGACTTGGTGGATGGTTT,NF1,8.91,253.0,0.774456522,0,PLX_2uM,0.6063964890124454 -169,TGATAAGCTGAAAAAGGGAGTCAAAGGGGT,CUL3,52.08,400.0,0.324675325,0,PLX_2uM,0.5089672141907191 -170,TACCAAGCTGGGACTTCCAAAGCTGGGAAT,NF1,56.39,1601.0,0.532608696,0,PLX_2uM,0.6759203760590436 -171,CTCCAAGGACAACCAGAACAGCAACGGTCG,H2-K,83.74,309.0,0.591715976,0,nodrug,0.5836526308093724 -172,GGCCAAGGACAGGCCCCTGGGCCTGGGGAA,CD5,39.47,195.0,0.025104603,0,nodrug,0.35472536797338716 -173,GAGGAAGGAGAACAAAAACCTAGCCGGCTC,TADA2B,77.14,324.0,0.294736842,0,AZD_200nM,0.5454067862209092 -174,CTCGAAGGAGACCATCAGCCCCTGGGGGCA,CD43,16.2,64.0,0.5579710139999999,0,nodrug,0.6331357199248662 -175,GGGTAAGGAGATGTGGGAGTCAGGAGGGAT,NF1,97.08,2756.0,0.15625,0,PLX_2uM,0.17540148308600584 -176,AAGCAAGGATACAGCGCTCTGCAGAGGAGC,MED12,44.42,967.0,0.756493506,0,AZD_200nM,0.6451792268201865 -177,AAGCAAGGATACAGCGCTCTGCAGAGGAGC,MED12,44.42,967.0,0.8939393940000001,1,PLX_2uM,0.6451792268201865 -178,ACTGAAGGCAGCTCTGAACATCTAGGGCAA,NF1,34.62,983.0,0.489130435,0,PLX_2uM,0.6157268994024162 -179,CTACAAGGCCAAGGACAGGCCCCTGGGCCT,CD5,39.07,193.0,0.6861924690000001,0,nodrug,0.5850487977561747 -180,AGCTAAGGCGACAGAGGTGTCTGATGGTGC,CD45,63.72,720.0,0.8953068590000001,1,nodrug,0.6464816007807989 -181,TGGTAAGGCTGGCTGGAGTAGCTGGGGGGC,MED12,90.35,1967.0,0.226190476,0,AZD_200nM,0.2097459696263743 -182,TGGTAAGGCTGGCTGGAGTAGCTGGGGGGC,MED12,90.35,1967.0,0.192640693,0,PLX_2uM,0.2097459696263743 -183,CGCAAAGGGACAGCAGAAACTGGTGGGTTT,MED12,36.33,791.0,0.943722944,1,AZD_200nM,0.6590486916404167 -184,CGCAAAGGGACAGCAGAAACTGGTGGGTTT,MED12,36.33,791.0,0.9188311690000001,1,PLX_2uM,0.6590486916404167 -185,TAAAAAGGGCACAGAGCTGCTGCTTGGAGT,NF2,39.16,233.0,0.995515695,1,PLX_2uM,0.5779059576168712 -186,CTGCAAGGTATCCTTCAGAACCTTTGGGAG,NF1,88.02,2499.0,0.332880435,0,PLX_2uM,0.34315695505067706 -187,TGAAAAGGTGAAGGAGGATGCGGCAGGTAA,MED12,53.93,1174.0,0.961038961,1,AZD_200nM,0.6216470922681534 -188,TGAAAAGGTGAAGGAGGATGCGGCAGGTAA,MED12,53.93,1174.0,0.9978354979999999,1,PLX_2uM,0.6216470922681534 -189,AAACAAGGTGAATCCGACCCAGAGAGGAAA,CUL3,89.45,687.0,0.857142857,1,PLX_2uM,0.6193446209835572 -190,GCCCAAGGTTCAGAGCCGCCTGGTCGGGGG,CD5,56.28,278.0,0.644351464,0,nodrug,0.5257021314355648 -191,GCACAAGTAACTGGCTCTAATACACGGAAG,CUL3,76.43,587.0,0.883116883,1,PLX_2uM,0.6182077555144192 -192,GTGGAAGTAGCGGCGATAGACCGCGGGGTT,CD15,90.75,481.0,0.564102564,0,nodrug,0.4579991598395823 -193,TGCAAAGTCTCTGGCAGGGGCGTAGGGCTG,CD28,95.41,208.0,0.635135135,0,nodrug,0.4704458165622717 -194,TGGAAAGTGCAGAAACAGAAGATGTGGTTG,CD45,90.09,1018.0,0.750902527,0,nodrug,0.5495129605147889 -195,GCTGAAGTGCGCCAGAGATCACAGTGGGAG,CD5,59.92,296.0,0.669456067,0,nodrug,0.8238284330067072 -196,TGAGAAGTTCTGCAATGCGGGAATCGGCAG,CCDC101,2.73,8.0,0.543624161,0,AZD_200nM,0.4500164909666838 -197,TTCGAAGTTGAGGGGGGAATTCTGAGGAGG,NF1,47.76,1356.0,0.88451087,1,PLX_2uM,0.6218540638066491 -198,CCAGAAGTTTGAGCCACAAACCCATGGTCA,CD45,0.35,4.0,0.841155235,1,nodrug,0.6837122272778907 -199,GCAAAATAAATCAAGGTCATAACCTGGTTC,HPRT1,7.8,17.0,0.6875,0,6TG_2ug/mL,0.6225657192719443 -200,TTTCAATAACCAGCCTGCTGTCTCTGGGGA,MED12,2.34,51.0,0.44696969700000005,0,AZD_200nM,0.39564516358222346 -201,TTTCAATAACCAGCCTGCTGTCTCTGGGGA,MED12,2.34,51.0,0.41341991299999997,0,PLX_2uM,0.39564516358222346 -202,GTAAAATAATGACATTCTGTTTCAAGGTTT,NF1,45.4,1289.0,0.014945652,0,PLX_2uM,0.3986052220658777 -203,GCCAAATACACAGTGCCTGTGATGCGGGCT,MED12,7.07,154.0,0.958874459,1,AZD_200nM,0.6408428599686422 -204,GCCAAATACACAGTGCCTGTGATGCGGGCT,MED12,7.07,154.0,0.9675324679999999,1,PLX_2uM,0.6408428599686422 -205,GTTAAATAGCATTGGATACAGAGCAGGACT,NF1,32.72,929.0,0.9361413040000001,1,PLX_2uM,0.6034715730909512 -206,AGACAATAGTATAAATGTTACATGTGGTCC,CD45,29.2,330.0,0.819494585,1,nodrug,0.7471209869028365 -207,CTGCAATAGTCACTGGAGCTGTGGTGGCTT,H2-K,87.53,323.0,0.568047337,0,nodrug,0.5179235075068376 -208,TGGAAATATAGAAGCCCTTGGCCATGGTGA,CD13,0.21,2.0,0.597802198,0,nodrug,0.567084079333408 -209,GGCCAATATCCTGTCGTGAGCACCCGGACT,CUL3,66.02,507.0,0.961038961,1,PLX_2uM,0.5802073390867513 -210,GCTCAATATCGCATTACTTAATTTAGGCAG,NF1,65.55,1861.0,0.932065217,1,PLX_2uM,0.3996393253822647 -211,TCTGAATATCTCAAAAGCATGTCTTGGTGC,CUL3,69.01,530.0,0.298701299,0,PLX_2uM,0.5362805726075719 -212,CAAAAATATGGGGAAGCCTTGGGCAGGTAT,NF1,70.48,2001.0,0.505434783,0,PLX_2uM,0.49128485638251984 -213,TCCAAATATGTTGGTACTGGGCTGTGGCTG,MED12,99.63,2169.0,0.272727273,0,AZD_200nM,0.2098561542783104 -214,TCCAAATATGTTGGTACTGGGCTGTGGCTG,MED12,99.63,2169.0,0.245670996,0,PLX_2uM,0.2098561542783104 -215,AGAAAATCACCAAGGATATCTTGAAGGTTC,MED12,35.78,779.0,0.685064935,0,AZD_200nM,0.5480806149474501 -216,AGAAAATCACCAAGGATATCTTGAAGGTTC,MED12,35.78,779.0,0.569264069,0,PLX_2uM,0.5480806149474501 -217,CCTGAATCATAGACACCAGGTCTTTGGGTT,CD45,85.13,962.0,0.11552346599999999,0,nodrug,0.2792008946456548 -218,AGTAAATCCACTTACCTATAGGAAGGGTCA,NF1,87.5,2484.0,0.951086957,1,PLX_2uM,0.5568610023084773 -219,AGGAAATCCATGAGCCTGGACATGGGGCAA,NF1,88.97,2526.0,0.43070652200000004,0,PLX_2uM,0.45623915188569664 -220,CTGCAATCCCACATGAGAAACATAAGGAGT,MED12,89.48,1948.0,0.25649350600000004,0,AZD_200nM,0.40898823792040256 -221,CTGCAATCCCACATGAGAAACATAAGGAGT,MED12,89.48,1948.0,0.20129870100000002,0,PLX_2uM,0.40898823792040256 -222,ATGAAATCCCAGTGCCTTACCCGCAGGATC,MED12,95.96,2089.0,0.003246753,0,AZD_200nM,0.24612752365505974 -223,ATGAAATCCCAGTGCCTTACCCGCAGGATC,MED12,95.96,2089.0,0.004329004,0,PLX_2uM,0.24612752365505974 -224,CAAAAATCCCCGCTTGTGAACACTGGGGTC,NF2,26.39,157.0,0.641255605,0,PLX_2uM,0.5246322273988262 -225,TAGGAATCGGGTTTCAGCGTGTTGGGGAGG,CD13,8.07,78.0,0.6241758239999999,0,nodrug,0.6115119523419034 -226,TGGCAATCTCCAGGAGCTTCTGCTTGGCTC,NF2,78.99,470.0,0.524663677,0,PLX_2uM,0.41326320894224294 -227,CCAAAATCTGACAACGCGTGAGAATGGCCA,TADA1,20.0,67.0,0.926605505,1,AZD_200nM,0.5318701128579246 -228,CTACAATCTGGTGCCAGCCTTCCTGGGGAA,TADA2B,55.24,232.0,0.136842105,0,AZD_200nM,0.49320085085265275 -229,TTTGAATCTTGACTCTGTGTAGTTTGGATG,CUL3,87.11,669.0,0.123376623,0,PLX_2uM,0.31823340934572325 -230,TGACAATGAAGGCCAGCAAGTACGTGGACA,CD13,28.75,278.0,0.817582418,1,nodrug,0.674729589119917 -231,CAGGAATGACACCCACCCTACCACAGGGTC,CD33,82.97,302.0,0.235930736,0,nodrug,0.5400431623263491 -232,TCATAATGACCAGCAAAGAAGTTAAGGATG,CD13,33.71,326.0,0.506593407,0,nodrug,0.4749053952747937 -233,GTGGAATGACCTGTGGCTGAACGAGGGCTT,CD13,42.4,410.0,0.972527473,1,nodrug,0.7028734546024371 -234,GCACAATGAGAACTCCGACAGGGGTGGCAG,NF2,95.46,568.0,0.09865470900000001,0,PLX_2uM,0.3315135794477191 -235,CTCCAATGAGTGCCCAGGGCGTCCAGGCAG,MED12,93.62,2038.0,0.061688312,0,AZD_200nM,0.16313009324917457 -236,CTCCAATGAGTGCCCAGGGCGTCCAGGCAG,MED12,93.62,2038.0,0.07359307400000001,0,PLX_2uM,0.16313009324917457 -237,AAACAATGCAGACTTTGCTTTCCTTGGTCA,HPRT1,67.89,148.0,0.234375,0,6TG_2ug/mL,0.4229003851662691 -238,CATTAATGCATCCTTTGTGATGGTAGGTAC,CD45,75.22,850.0,0.823104693,1,nodrug,0.5470504323363841 -239,CTCGAATGCCGAGTTCAACTGCGACGGGGA,CD28,39.91,87.0,0.581081081,0,nodrug,0.5566997885638093 -240,TTTTAATGGCTTGTGGCGGTTTGCAGGACC,NF1,95.6,2714.0,0.024456522,0,PLX_2uM,0.07631198817383045 -241,TGTCAATGGGAAGATTCAAAGAAATGGGAC,CD45,26.11,295.0,0.223826715,0,nodrug,0.42517874466396083 -242,CATCAATGTAGCTGGCATTTATGTAGGTGG,CD45,47.26,534.0,0.9386281590000001,1,nodrug,0.5928112452789396 -243,TTGGAATGTCTCAGCTCAAAAGTTCGGAGA,CD45,82.21,929.0,0.927797834,1,nodrug,0.5565319564591609 -244,CCAAAATGTTTCTACAGGAGCATCAGGATT,NF1,19.9,565.0,0.304347826,0,PLX_2uM,0.4750408552467292 -245,AATTAATTACAGGGCTCGTCCAACTGGTCC,NF1,18.7,531.0,0.278532609,0,PLX_2uM,0.4888270601346906 -246,TTTGAATTCTGTAGAAGTTATTTCTGGACA,NF1,10.53,299.0,0.23097826100000002,0,PLX_2uM,0.1884472719966013 -247,CACAAATTGCTGGGCTCCTGAGAGAGGATT,TADA1,35.82,120.0,0.5504587160000001,0,AZD_200nM,0.6332125156658635 -248,CCGAAATTGGGCTCCTGCACACAGTGGCCC,CD15,76.04,403.0,0.791208791,0,nodrug,0.6996437256889853 -249,AACCAATTGTAAAGGTGGTTGAAAGGGAAC,CUL3,34.51,265.0,0.6038961039999999,0,PLX_2uM,0.5158039794178231 -250,TCCAAATTTGTTAAATCCAATCCATGGAAT,NF1,94.43,2681.0,0.319293478,0,PLX_2uM,0.3401924289245903 -251,GCAGACAAAGCTGTAGCGGTTAGCAGGGTT,MED12,48.19,1049.0,0.03030303,0,AZD_200nM,0.45511922744186595 -252,GCAGACAAAGCTGTAGCGGTTAGCAGGGTT,MED12,48.19,1049.0,0.058441558,0,PLX_2uM,0.45511922744186595 -253,AAGAACAAATTTGGGGAGCTCTTCAGGTAA,MED12,45.61,993.0,0.10173160199999999,0,AZD_200nM,0.2612863358388832 -254,AAGAACAAATTTGGGGAGCTCTTCAGGTAA,MED12,45.61,993.0,0.094155844,0,PLX_2uM,0.2612863358388832 -255,CGCCACAACAGCAGTAGCGCCACGAGGGCC,CD43,67.09,265.0,0.9637681159999999,1,nodrug,0.711198094464772 -256,ATGAACAACAGGAACTCGTTGAAAGGGGTG,CD45,39.47,446.0,0.25631769,0,nodrug,0.5175943195661966 -257,TCACACAACATTTATTCTTCTTACAGGTAC,NF2,20.17,120.0,0.10762331800000001,0,PLX_2uM,0.2873356144381009 -258,GCCCACAACCATGACTGGCGTCATGGGTTT,MED12,86.59,1885.0,0.28030303,0,AZD_200nM,0.403630113502134 -259,GCCCACAACCATGACTGGCGTCATGGGTTT,MED12,86.59,1885.0,0.279220779,0,PLX_2uM,0.403630113502134 -260,CAGAACAAGAAGTAGAAACAATATTGGATA,CUL3,53.52,411.0,0.25974026,0,PLX_2uM,0.45213335028564394 -261,GGAAACAAGAGACCAGAGCAGGAGTGGTTC,CD33,70.33,256.0,0.25108225100000003,0,nodrug,0.5308261980044098 -262,ATCTACAAGAGTAGGATTGGTAGAAGGGTG,MED12,90.95,1980.0,0.13636363599999998,0,AZD_200nM,0.30538336435652125 -263,ATCTACAAGAGTAGGATTGGTAGAAGGGTG,MED12,90.95,1980.0,0.12770562800000002,0,PLX_2uM,0.30538336435652125 -264,GACAACAAGCTCTAACGAGACCAGTGGACC,CD43,42.78,169.0,0.7173913040000001,0,nodrug,0.7390069439779832 -265,CTTAACAATAAGCTCAGCATAGTCTGGAAT,NF1,96.05,2727.0,0.42119565200000003,0,PLX_2uM,0.17287531117296218 -266,CTCTACAATGACTCGGAGCCACCCCGGAAG,CCDC101,37.54,110.0,0.912751678,1,AZD_200nM,0.7470366691474717 -267,CCACACAATGATGCTTCCCACTCGAGGCCA,TADA1,43.88,147.0,0.52293578,0,AZD_200nM,0.6840848385927725 -268,GAAGACAATTCAGTAGTTTCCAAGGGGGTC,CD43,19.49,77.0,0.9492753620000001,1,nodrug,0.7210738524929549 -269,TCAAACACAACGATGGATGAATTCAGGCAA,CUL3,63.41,487.0,0.88961039,1,PLX_2uM,0.3728315515163587 -270,TATAACACACCTTAACTACAGGCAAGGCTC,MED12,84.29,1835.0,0.641774892,0,AZD_200nM,0.6175922600800373 -271,TATAACACACCTTAACTACAGGCAAGGCTC,MED12,84.29,1835.0,0.576839827,0,PLX_2uM,0.6175922600800373 -272,TCACACACACTGCTGCCCCCGACCAGGCGG,CD5,56.48,279.0,0.556485356,0,nodrug,0.565605697558185 -273,TGGCACACACTTCGAAGTTGAGGGGGGAAT,NF1,47.87,1359.0,0.991847826,1,PLX_2uM,0.7291693015236465 -274,TCTGACACAGACTCCCTACAGGAATGGATC,NF1,29.45,836.0,0.551630435,0,PLX_2uM,0.6357226762879846 -275,CGGTACACATCATTCAGCACCATGAGGTCT,CD13,44.98,435.0,0.61978022,0,nodrug,0.7696596429970249 -276,AGTCACACATGCCAGAGATTGCTCAGGAAG,NF1,19.09,542.0,0.804347826,1,PLX_2uM,0.6357840734485138 -277,CAGAACACCATCTACCTGAACCTGTGGGAC,CD13,53.46,517.0,0.416483516,0,nodrug,0.6413991686765734 -278,AACTACACCCTCAGCCAGGGGCACAGGGTG,CD13,13.96,135.0,0.571428571,0,nodrug,0.47722725134307464 -279,CCTCACACCTTGCAGATCCGGATCTGGGCC,CD13,31.23,302.0,0.292307692,0,nodrug,0.34151836532853946 -280,GCAAACACGGCTCCATCCACGATGCGGTTC,MED12,55.81,1215.0,0.825757576,1,AZD_200nM,0.7274687430954726 -281,GCAAACACGGCTCCATCCACGATGCGGTTC,MED12,55.81,1215.0,0.730519481,0,PLX_2uM,0.7274687430954726 -282,GTGCACACGGCTGCCACGCCCAGGAGGATC,CD13,1.86,18.0,0.542857143,0,nodrug,0.6666796006818949 -283,CCGAACACGTCCACGGTCACATGTTGGCTC,CD15,71.7,380.0,0.725274725,0,nodrug,0.6518811446906055 -284,GGAGACACTCACGGGTTATTATTGGGGTTC,CD13,81.08,784.0,0.47802197799999996,0,nodrug,0.5364060109555147 -285,AGGCACACTCCCCCAAGGGCACAAAGGAAG,NF1,29.76,845.0,0.682065217,0,PLX_2uM,0.6433797751530765 -286,GGTAACACTGAGACAGCTTCTCCTGGGCAC,CD5,69.64,344.0,0.623430962,0,nodrug,0.6077374337832094 -287,GCAAACACTGCCGAGCGATGAGGATGGCAA,MED12,52.14,1135.0,0.9989177490000001,1,AZD_200nM,0.7039051622782082 -288,GCAAACACTGCCGAGCGATGAGGATGGCAA,MED12,52.14,1135.0,0.9989177490000001,1,PLX_2uM,0.7039051622782082 -289,GGATACACTGGAAAAATGTCTTGCTGGGGT,NF1,3.31,94.0,0.082880435,0,PLX_2uM,0.3316709805090226 -290,TGAAACACTTCATAAAGCAGTGCAAGGTTG,NF1,15.89,451.0,0.614130435,0,PLX_2uM,0.6676819457455775 -291,ACTGACACTTCATCCACCCCACACCGGATA,NF1,25.4,721.0,0.346467391,0,PLX_2uM,0.720833882199213 -292,AGGCACAGAACAACCCTGTCTGCTGGGATC,CD45,88.5,1000.0,0.5595667870000001,0,nodrug,0.5148935777112406 -293,AAGTACAGAAGAAGCTGACCATAGAGGAGT,NF1,23.49,667.0,0.273097826,0,PLX_2uM,0.5829872046019974 -294,GTGTACAGAAGTAGGCAAGCCGGCGGGACA,MED12,13.6,296.0,0.924242424,1,AZD_200nM,0.6921197065801304 -295,GTGTACAGAAGTAGGCAAGCCGGCGGGACA,MED12,13.6,296.0,0.87012987,1,PLX_2uM,0.6921197065801304 -296,ATCCACAGACAAGCTGGTCAAGTGTGGCGG,THY1,80.25,130.0,0.629032258,0,nodrug,0.6191257045890104 -297,CTGGACAGACATGAGTTCCTGACCTGGGTG,MED12,11.76,256.0,0.896103896,1,AZD_200nM,0.6429209303373902 -298,CTGGACAGACATGAGTTCCTGACCTGGGTG,MED12,11.76,256.0,0.885281385,1,PLX_2uM,0.6429209303373902 -299,CGTGACAGACCACACCTGTCCCAGCGGAGG,TADA2B,32.86,138.0,0.9684210529999999,1,AZD_200nM,0.7388738417648991 -300,GTACACAGAGGTCTTATAAGAGGAGGGTTC,MED12,86.91,1892.0,0.7012987009999999,0,AZD_200nM,0.5811041625224554 -301,GTACACAGAGGTCTTATAAGAGGAGGGTTC,MED12,86.91,1892.0,0.581168831,0,PLX_2uM,0.5811041625224554 -302,GTGTACAGATCATAGAGATAAGCAAGGATA,MED12,44.69,973.0,0.906926407,1,AZD_200nM,0.7289615539580673 -303,GTGTACAGATCATAGAGATAAGCAAGGATA,MED12,44.69,973.0,0.86038961,1,PLX_2uM,0.7289615539580673 -304,CCCCACAGCCCCAGGATGACTACTCGGTCC,CCDC101,88.74,260.0,0.66442953,0,AZD_200nM,0.5449344733824664 -305,GGATACAGCTGAGGCCAAAAACCAGGGGCC,MED12,16.49,359.0,0.873376623,1,AZD_200nM,0.6504606956368192 -306,GGATACAGCTGAGGCCAAAAACCAGGGGCC,MED12,16.49,359.0,0.9556277059999999,1,PLX_2uM,0.6504606956368192 -307,TGAGACAGCTTCTCCTGGGCACAGAGGAAC,CD5,69.03,341.0,0.769874477,0,nodrug,0.6958696087008137 -308,TCAAACAGGACCGAGTAGTCATCCTGGGGC,CCDC101,88.05,258.0,0.684563758,0,AZD_200nM,0.5602754690847437 -309,TCACACAGGACTATGGAATGGGCCCGGGTC,MED12,82.91,1805.0,0.624458874,0,AZD_200nM,0.4768840646394549 -310,TCACACAGGACTATGGAATGGGCCCGGGTC,MED12,82.91,1805.0,0.667748918,0,PLX_2uM,0.4768840646394549 -311,TCTGACAGGAGCTCGAAGCCTGGAAGGTTC,TADA2B,82.38,346.0,0.557894737,0,AZD_200nM,0.5744039112359147 -312,TGTCACAGGATTGGCTGCAGTGACAGGAGG,CD43,32.15,127.0,0.355072464,0,nodrug,0.49307505351716074 -313,GCTCACAGGCCCAGGACACAGAGCAGGTCA,CD33,45.05,164.0,0.484848485,0,nodrug,0.5940261973036423 -314,ACTCACAGGCCCCCACCCCTCTGTGGGGCC,CCDC101,49.49,145.0,0.08724832199999999,0,AZD_200nM,0.43588395666767654 -315,AGAGACAGGCGGAGATTGAGGCTGAGGTTA,MED12,24.71,538.0,0.25865800899999997,0,AZD_200nM,0.5162533672673856 -316,AGAGACAGGCGGAGATTGAGGCTGAGGTTA,MED12,24.71,538.0,0.19047619,0,PLX_2uM,0.5162533672673856 -317,AGTGACAGGGACCTTATGGGCACTGGGAAT,CD13,69.39,671.0,0.6879120879999999,0,nodrug,0.5930566028507467 -318,TTGGACAGGGCTGTCAGGTCCTTGGGGTGG,CD13,24.92,241.0,0.796703297,0,nodrug,0.60537457444322 -319,GTCAACAGGGGACATAAAAGTAATTGGTGG,HPRT1,53.21,116.0,0.203125,0,6TG_2ug/mL,0.40333140302986503 -320,AACCACAGGGGATGCGGAACTGAAAGGTTC,MED12,56.73,1235.0,0.613636364,0,AZD_200nM,0.638846371784219 -321,AACCACAGGGGATGCGGAACTGAAAGGTTC,MED12,56.73,1235.0,0.621212121,0,PLX_2uM,0.638846371784219 -322,GGAAACAGGGGCTGGTGGCATGGGTGGTGA,CD15,67.74,359.0,0.37728937700000004,0,nodrug,0.46459885877713303 -323,AGGCACAGGTCATCTTAATGAGCCAGGCAG,MED12,7.3,159.0,0.8787878790000001,1,AZD_200nM,0.6060346615538299 -324,AGGCACAGGTCATCTTAATGAGCCAGGCAG,MED12,7.3,159.0,0.8712121209999999,1,PLX_2uM,0.6060346615538299 -325,ACTTACAGGTGACGTTGAGCTGGATGGTTC,CD33,62.64,228.0,0.7510822509999999,0,nodrug,0.5828453036215752 -326,TACAACAGTAAGCTCCAAGACCAGTGGTCC,CD43,46.08,182.0,0.615942029,0,nodrug,0.7414279087385268 -327,AGGCACAGTATATCCTGATTCATCAGGCTT,CD45,64.78,732.0,0.23465704,0,nodrug,0.5076730395405603 -328,TCTTACAGTCCGGGTGCTCACGACAGGATA,CUL3,66.28,509.0,0.922077922,1,PLX_2uM,0.5800066861558795 -329,GGAGACAGTGGATGGAGGAGGCTCTGGGAA,H2-K,80.49,297.0,0.029585799,0,nodrug,0.2875153504775556 -330,AGTTACAGTTATAGATATAGACTGCGGAGA,NF1,59.07,1677.0,0.976902174,1,PLX_2uM,0.7548446954810789 -331,TGTGACAGTTCTGCAGCCAGGGGCCGGGGA,CD5,62.35,308.0,0.380753138,0,nodrug,0.423392884543256 -332,TGACACATACCTGCAGTAGCTTCCTGGCAT,MED12,20.49,446.0,0.46645021600000003,0,AZD_200nM,0.45833270305195095 -333,TGACACATACCTGCAGTAGCTTCCTGGCAT,MED12,20.49,446.0,0.40043290000000004,0,PLX_2uM,0.45833270305195095 -334,TGCCACATACCTGCTGGGAACGCTGGGTGA,CD5,3.24,16.0,0.728033473,0,nodrug,0.5941336609338248 -335,ACTTACATAGCTGCACACCACCCCAGGCCG,CD45,91.68,1036.0,0.870036101,1,nodrug,0.5470082830005383 -336,GTGAACATCCAGAAGACCCATGAGCGGATG,CCDC101,14.68,43.0,0.5838926170000001,0,AZD_200nM,0.7301182991524469 -337,ATCCACATCGACTGCTGGACAATGAGGATG,MED12,61.23,1333.0,0.754329004,0,AZD_200nM,0.6749685240767169 -338,ATCCACATCGACTGCTGGACAATGAGGATG,MED12,61.23,1333.0,0.739177489,0,PLX_2uM,0.6749685240767169 -339,GTAAACATCGGGAGGCCCCAGCCGCGGCCG,MED12,0.87,19.0,0.48376623399999996,0,AZD_200nM,0.6007981595716417 -340,GTAAACATCGGGAGGCCCCAGCCGCGGCCG,MED12,0.87,19.0,0.411255411,0,PLX_2uM,0.6007981595716417 -341,CTCGACATCTGGCTTCTCAGGGGATGGACT,MED12,32.2,701.0,0.581168831,0,AZD_200nM,0.5369569983716291 -342,CTCGACATCTGGCTTCTCAGGGGATGGACT,MED12,32.2,701.0,0.613636364,0,PLX_2uM,0.5369569983716291 -343,AGGTACATGAAAAAGAAGAATTCAAGGCTT,NF1,55.79,1584.0,0.917119565,1,PLX_2uM,0.542828871726444 -344,GACTACATGAACATGACTCCCCGGAGGCCT,CD28,89.45,195.0,0.8243243240000001,1,nodrug,0.6465818079457488 -345,ATGAACATGACTCCCCGGAGGCCTGGGCTC,CD28,90.37,197.0,0.10810810800000001,0,nodrug,0.34927741118107514 -346,TTACACATGCCATGTGTACCATCAGGGGCT,H2-K,76.96,284.0,0.639053254,0,nodrug,0.5993645492119234 -347,TGGAACATGCCTCCTTCTTGAAGATGGAAT,MED12,76.8,1672.0,0.156926407,0,AZD_200nM,0.43519452533165487 -348,TGGAACATGCCTCCTTCTTGAAGATGGAAT,MED12,76.8,1672.0,0.173160173,0,PLX_2uM,0.43519452533165487 -349,CAGGACATGGAGCTTGTGGAGACCAGGCCT,H2-K,68.83,254.0,0.047337277999999997,0,nodrug,0.45204347376385146 -350,CCACACATGGCCAGCAGCACCACCAGGAGT,CD5,78.95,390.0,0.661087866,0,nodrug,0.5622325235383449 -351,TAACACATGTCCCTGGACTGAGGTGGGCAG,MED12,66.05,1438.0,0.7370129870000001,0,AZD_200nM,0.6683284222191603 -352,TAACACATGTCCCTGGACTGAGGTGGGCAG,MED12,66.05,1438.0,0.672077922,0,PLX_2uM,0.6683284222191603 -353,AGGGACATGTGTTAAAGGCTGCTGGGGAAG,MED12,66.47,1447.0,0.39718614700000004,0,AZD_200nM,0.642757257665213 -354,AGGGACATGTGTTAAAGGCTGCTGGGGAAG,MED12,66.47,1447.0,0.39285714299999996,0,PLX_2uM,0.642757257665213 -355,AGTGACATTCCAGTTGGGGTCTTCTGGAAG,CD13,26.99,261.0,0.064835165,0,nodrug,0.21488534517497765 -356,TGTAACATTTATACTATTGTCTGTCGGCCG,CD45,28.67,324.0,0.971119134,1,nodrug,0.6341377210637386 -357,GCAAACCAAAGCAGCTTATGCATGAGGCAC,MED12,70.28,1530.0,0.742424242,0,AZD_200nM,0.6383139085048366 -358,GCAAACCAAAGCAGCTTATGCATGAGGCAC,MED12,70.28,1530.0,0.645021645,0,PLX_2uM,0.6383139085048366 -359,ACTAACCAAGCAACTTCTTAGTGTTGGCCT,NF1,89.26,2534.0,0.277173913,0,PLX_2uM,0.39049762550725775 -360,CGATACCAAGGGCAACAAGATTGCTGGCTT,MED12,76.48,1665.0,0.35714285700000004,0,AZD_200nM,0.40555726826091526 -361,CGATACCAAGGGCAACAAGATTGCTGGCTT,MED12,76.48,1665.0,0.414502165,0,PLX_2uM,0.40555726826091526 -362,GTGAACCAAGTGTTAATGGCACTCTGGGAT,MED12,5.1,111.0,0.5476190479999999,0,AZD_200nM,0.5170486449182069 -363,GTGAACCAAGTGTTAATGGCACTCTGGGAT,MED12,5.1,111.0,0.548701299,0,PLX_2uM,0.5170486449182069 -364,ACGGACCAATGTTAAGGATCTGGTGGGTCT,NF1,32.41,920.0,0.864130435,1,PLX_2uM,0.6716086478751937 -365,AGCTACCACAACGAAGCAAACATGTGGTAA,CD45,3.45,39.0,0.231046931,0,nodrug,0.7171882258150823 -366,TGAAACCACAAGTGCCATTGTTAGAGGAGC,MED12,50.71,1104.0,0.688311688,0,AZD_200nM,0.5039623026761908 -367,TGAAACCACAAGTGCCATTGTTAGAGGAGC,MED12,50.71,1104.0,0.624458874,0,PLX_2uM,0.5039623026761908 -368,CTCTACCACACACACCTGAGGCCCCGGCCC,MED12,79.56,1732.0,0.516233766,0,AZD_200nM,0.5181585620291467 -369,CTCTACCACACACACCTGAGGCCCCGGCCC,MED12,79.56,1732.0,0.518398268,0,PLX_2uM,0.5181585620291467 -370,TGTCACCACAGCTACTGGGTCTCTGGGGCC,CD43,48.86,193.0,0.492753623,0,nodrug,0.46712157277568994 -371,GTTTACCACAGGCGAGGGACTGTAGGGCTC,CUL3,82.29,632.0,0.87012987,1,PLX_2uM,0.5279474357351279 -372,ACTTACCACATGTTTGCTTCGTTGTGGTAG,CD45,3.19,36.0,0.20938628199999998,0,nodrug,0.5754600376293323 -373,AACCACCACCAAGGCAATAAGCATGGGCAC,CD43,64.56,255.0,0.710144928,0,nodrug,0.6448940507886904 -374,TTCCACCACCGCGACCTCGTGAAGGGGCCC,CD15,46.04,244.0,0.736263736,0,nodrug,0.6358113640852395 -375,ACCCACCACCGTGCCGGAGCCCACAGGTAA,CD5,30.97,153.0,0.6276150629999999,0,nodrug,0.6163996220887914 -376,CCCTACCACTGGCCACTGTAACAGTGGACG,NF1,98.94,2809.0,0.118206522,0,PLX_2uM,0.1814834991795189 -377,GGCAACCAGAACAGCTTCAGTGTCAGGGTT,NF1,24.66,700.0,0.33423913,0,PLX_2uM,0.3980617625669606 -378,AGAGACCAGAGCAGGAGTGGTTCATGGGGC,CD33,70.88,258.0,0.463203463,0,nodrug,0.4237995913616226 -379,ATACACCAGAGCGCTCTAGAGAGCTGGAGA,MED12,65.18,1419.0,0.680735931,0,AZD_200nM,0.5743392360737407 -380,ATACACCAGAGCGCTCTAGAGAGCTGGAGA,MED12,65.18,1419.0,0.5844155839999999,0,PLX_2uM,0.5743392360737407 -381,AATGACCAGCAAAGAAGTTAAGGATGGGGC,CD13,33.61,325.0,0.686813187,0,nodrug,0.5676757691348076 -382,GGAAACCAGCATGCAGCTGAACTTCGGAAT,NF1,4.72,134.0,0.658967391,0,PLX_2uM,0.529494869099205 -383,GGACACCAGCTCCTGCAGAGCTGAGGGACC,CD5,45.95,227.0,0.117154812,0,nodrug,0.5566816145181257 -384,CTTCACCAGCTTCTTGTAGACCAGAGGACC,CD5,80.97,400.0,0.820083682,1,nodrug,0.6000693366740667 -385,CCCGACCAGGCGGCTCTGAACCTTGGGCTG,CD5,55.47,274.0,0.5230125520000001,0,nodrug,0.39063495736462134 -386,TGTCACCAGGCTTCCCGATCCACAGGGGCA,CCDC101,45.39,133.0,0.55704698,0,AZD_200nM,0.6129706452433696 -387,AGACACCAGGTCTTTGGGTTCTGCAGGCAG,CD45,84.87,959.0,0.436823105,0,nodrug,0.41517029721182197 -388,GTGTACCAGTACCAGTGTACCACATGGAAA,CD45,84.07,950.0,0.620938628,0,nodrug,0.6280335572781546 -389,AAGAACCAGTCACCTTTCACTTCTTGGCCA,NF2,16.13,96.0,0.053811659000000005,0,PLX_2uM,0.19214783621663215 -390,CAAAACCAGTGCAACAGGTGGCTTGGGATC,NF1,71.22,2022.0,0.23233695699999998,0,PLX_2uM,0.31881124251351306 -391,CACGACCAGTGCCCAAAACAGCTTAGGAGA,CD28,68.81,150.0,0.837837838,1,nodrug,0.5349834829576534 -392,CAGTACCAGTGTACCACATGGAAAGGGGAA,CD45,84.25,952.0,0.584837545,0,nodrug,0.45236729266247777 -393,GAGCACCATGTCGAATCTGAGCAAAGGCAC,CUL3,0.65,5.0,0.12987013,0,PLX_2uM,0.5269383177792875 -394,CTCCACCATTCTATAGGAATAAGATGGTAG,NF1,36.63,1040.0,0.311141304,0,PLX_2uM,0.5282556896784714 -395,CTCCACCCACAGGCTGTGAACAACCGGTCC,CD13,54.5,527.0,0.254945055,0,nodrug,0.43521656152754973 -396,CTAGACCCACCAGATCCTTAACATTGGTCC,NF1,32.3,917.0,0.7785326090000001,0,PLX_2uM,0.6390102850915433 -397,TCCGACCCAGAGAGGAAAGAAACAAGGCAG,CUL3,89.97,691.0,0.74025974,0,PLX_2uM,0.5281654561814806 -398,CAGCACCCAGGTACTCCACGTAGGAGGCGA,CD13,43.02,416.0,0.832967033,1,nodrug,0.6610576087819988 -399,AGAGACCCAGTAGCTGTGGTGACAGGGGGA,CD43,47.34,187.0,0.608695652,0,nodrug,0.5535652871675782 -400,ATCCACCCAGTGACCCCTCCCCTCTGGAGG,CD45,68.05,769.0,0.483754513,0,nodrug,0.4406618778485561 -401,AATCACCCCACGGCCCCAGGACCACGGCAC,CD33,56.32,205.0,0.5173160170000001,0,nodrug,0.5665236980540884 -402,TTCCACCCGCTCACTCTCACTTCGAGGGTC,MED12,26.92,586.0,0.151515152,0,AZD_200nM,0.5012500047942448 -403,TTCCACCCGCTCACTCTCACTTCGAGGGTC,MED12,26.92,586.0,0.145021645,0,PLX_2uM,0.5012500047942448 -404,GCGGACCCTCGAAGTGAGAGTGAGCGGGTG,MED12,27.06,589.0,0.67965368,0,AZD_200nM,0.6106955471510941 -405,GCGGACCCTCGAAGTGAGAGTGAGCGGGTG,MED12,27.06,589.0,0.692640693,0,PLX_2uM,0.6106955471510941 -406,TGTTACCCTCTGGCATGGGCAGGTTGGACG,MED12,18.56,404.0,0.946969697,1,AZD_200nM,0.6279195442197293 -407,TGTTACCCTCTGGCATGGGCAGGTTGGACG,MED12,18.56,404.0,0.9523809520000001,1,PLX_2uM,0.6279195442197293 -408,GAGCACCCTCTTACCTGTGGGCTCCGGCAC,CD5,30.97,153.0,0.30125523,0,nodrug,0.4942743544627995 -409,CATCACCCTGACCTGGCAGTTGAATGGGGA,H2-K,65.04,240.0,0.284023669,0,nodrug,0.4193716689604394 -410,AGTCACCCTGAGGTGCTGGGCCCTGGGCTT,H2-K,61.25,226.0,0.15976331400000002,0,nodrug,0.42849178870131527 -411,GATGACCCTGTCTCTGCTGACTGTTGGAAA,MED12,63.94,1392.0,0.024891775,0,AZD_200nM,0.3671209813445843 -412,GATGACCCTGTCTCTGCTGACTGTTGGAAA,MED12,63.94,1392.0,0.020562771,0,PLX_2uM,0.3671209813445843 -413,GAGCACCGAGGAGTGAGTAGTCCTGGGGCC,CD33,52.47,191.0,0.614718615,0,nodrug,0.5454269938872068 -414,GAACACCGGCCCCTGAAGCGGCCGCGGCTG,MED12,0.78,17.0,0.071428571,0,AZD_200nM,0.40919404595141234 -415,GAACACCGGCCCCTGAAGCGGCCGCGGCTG,MED12,0.78,17.0,0.031385281,0,PLX_2uM,0.40919404595141234 -416,TCTTACCGGTGCCATTCGTATTGCTGGGTG,NF1,16.2,460.0,0.046195652000000004,0,PLX_2uM,0.27534779994290265 -417,TGTGACCGTGGACGTGTTCGGCCGGGGCGG,CD15,73.02,387.0,0.882783883,1,nodrug,0.4943614490378044 -418,GGGCACCGTGGGGCTCGCCGACGGCGGCGG,CD15,25.28,134.0,0.406593407,0,nodrug,0.4986283307544793 -419,TGGGACCTAGCAAGGATGGGCATGAGGTAA,MED12,22.69,494.0,0.793290043,0,AZD_200nM,0.6438603549062363 -420,TGGGACCTAGCAAGGATGGGCATGAGGTAA,MED12,22.69,494.0,0.788961039,0,PLX_2uM,0.6438603549062363 -421,AAATACCTCAGCGAGTGTGGGCCTGGGGGC,H2-K,5.96,22.0,0.059171598,0,nodrug,0.4824440287828346 -422,GCATACCTCAGTGTTTCCTGCAGTGGGATG,NF1,27.16,771.0,0.16576087,0,PLX_2uM,0.5480140898739 -423,GCTTACCTCATGCCCATCCTTGCTAGGTCC,MED12,22.55,491.0,0.755411255,0,AZD_200nM,0.5504078272415819 -424,GCTTACCTCATGCCCATCCTTGCTAGGTCC,MED12,22.55,491.0,0.795454545,0,PLX_2uM,0.5504078272415819 -425,GGCGACCTCCAGCCCCAGGCCCCCGGGCCA,CD15,54.15,287.0,0.487179487,0,nodrug,0.46017664349175363 -426,TGCCACCTCTACATCATGGGGCAAGGGCCC,MED12,10.24,223.0,0.803030303,1,AZD_200nM,0.5764398700233591 -427,TGCCACCTCTACATCATGGGGCAAGGGCCC,MED12,10.24,223.0,0.877705628,1,PLX_2uM,0.5764398700233591 -428,AAGGACCTCTTTGATTTGGTGTGCCGGACT,NF2,8.57,51.0,0.65470852,0,PLX_2uM,0.4782534137113885 -429,AAAAACCTGACCTGCTCTGTGTCCTGGGCC,CD33,45.6,166.0,0.454545455,0,nodrug,0.43337289043681454 -430,CTGTACCTGAGCCTACTGCCTCTCAGGAAG,CD43,26.08,103.0,0.579710145,0,nodrug,0.49668202097048236 -431,CCTCACCTGCTCCTCAAACTTCGACGGAGA,CD45,58.5,661.0,0.16967509,0,nodrug,0.5932952016961683 -432,TGCTACCTGGTATTCAGCCTCCAGAGGGGA,CD45,68.23,771.0,0.7797833940000001,0,nodrug,0.568917324687608 -433,GGGAACCTGGTGACCATAGAGTGGTGGAAT,CD13,41.68,403.0,0.9714285709999999,1,nodrug,0.7040988189344703 -434,GGTGACCTGGTGGTTATGGGATCTTGGGTA,CD43,59.49,235.0,0.18840579699999999,0,nodrug,0.2855362323447146 -435,CCTGACCTGTCAGGTGAAGTTCGCTGGAGC,CD33,59.34,216.0,0.346320346,0,nodrug,0.4342608342522555 -436,AATGACCTGTCCCGGTAACTGGAACGGAAG,NF1,76.79,2180.0,0.645380435,0,PLX_2uM,0.526273852809413 -437,TCTTACCTGTGGGCTCCGGCACGGTGGTGG,CD5,30.36,150.0,0.37656903799999997,0,nodrug,0.5973732154701076 -438,GTTCACCTTAACCATTGCAAACCAGGGCAC,NF1,63.58,1805.0,0.70923913,0,PLX_2uM,0.6874430180105672 -439,TCACACCTTCACCTACACGGGGCTAGGCAA,MED12,47.68,1038.0,0.761904762,0,AZD_200nM,0.5923423637777174 -440,TCACACCTTCACCTACACGGGGCTAGGCAA,MED12,47.68,1038.0,0.651515152,0,PLX_2uM,0.5923423637777174 -441,TACAACCTTCTCGCAAAGGAATTCCGGGCA,CD28,23.85,52.0,0.175675676,0,nodrug,0.31351083999060203 -442,TTGTACCTTTAATTTAAAAATCGAGGGCCA,NF1,66.5,1888.0,0.252717391,0,PLX_2uM,0.4585876410855135 -443,GGTGACGAAATACCTCAGCGAGTGTGGGCC,H2-K,6.78,25.0,0.34911242600000003,0,nodrug,0.5105636564035856 -444,AGCTACGAACACCGGCCCCTGAAGCGGCCG,MED12,0.69,15.0,0.520562771,0,AZD_200nM,0.6362856157676328 -445,AGCTACGAACACCGGCCCCTGAAGCGGCCG,MED12,0.69,15.0,0.42965368,0,PLX_2uM,0.6362856157676328 -446,GACTACGACCCCAGTGTTCACAAGCGGGGA,NF2,26.72,159.0,0.99103139,1,PLX_2uM,0.6961492872194798 -447,GAGTACGAGGCAGCGCGGCATAAACGGGAG,TADA2B,74.76,314.0,0.052631579000000005,0,AZD_200nM,0.32038813938163935 -448,AGCAACGAGGTCAGCCTCAGCTGCAGGTAT,CD28,18.81,41.0,0.567567568,0,nodrug,0.5627434064846929 -449,TCACACGATGTGAAGAAGGAAACAGGGTAA,CD45,51.68,584.0,0.884476534,1,nodrug,0.7177750723489711 -450,CTCTACGCAAAGCACGGCCTGGGGTGGTGT,CD45,91.59,1035.0,0.545126354,0,nodrug,0.5056658268189637 -451,AGGAACGCAAGAAGAAGTCCACCAAGGGCA,MED12,82.09,1787.0,0.635281385,0,AZD_200nM,0.626482828849642 -452,AGGAACGCAAGAAGAAGTCCACCAAGGGCA,MED12,82.09,1787.0,0.7716450220000001,0,PLX_2uM,0.626482828849642 -453,GGCCACGCAGCTTTGTCCGGTAATAGGGAG,CCDC101,18.77,55.0,0.127516779,0,AZD_200nM,0.307841831971238 -454,TTCAACGCCGGCGCCATGGAGAACTGGGGA,CD13,36.81,356.0,0.3,0,nodrug,0.34300969169875 -455,TAGGACGCGCGGTCGGTGAGCAGGCGGCAG,CD15,41.89,222.0,0.908424908,1,nodrug,0.6723832948612684 -456,TGTCACGCGGTTGGGGATGGTGTCGGGGAT,TADA2B,30.24,127.0,0.226315789,0,AZD_200nM,0.29008555301433653 -457,CGGTACGCTGCAAAGTCTCTGGCAGGGGCG,CD28,96.33,210.0,0.621621622,0,nodrug,0.4986931769474364 -458,AAATACGGACCAATGTTAAGGATCTGGTGG,NF1,32.37,919.0,0.6875,0,PLX_2uM,0.5075903633759566 -459,GTACACGGAGACTGGCCCTGCAGCTGGATG,MED12,14.15,308.0,0.20995671,0,AZD_200nM,0.5191266081570962 -460,GTACACGGAGACTGGCCCTGCAGCTGGATG,MED12,14.15,308.0,0.35173160200000003,0,PLX_2uM,0.5191266081570962 -461,GACCACGGCCTGGACCCATTCCACCGGCCT,NF1,0.28,8.0,0.366847826,0,PLX_2uM,0.594446038893725 -462,ACTGACGGCCTTGAATGTAAAACAAGGTTT,MED12,1.93,42.0,0.865800866,1,AZD_200nM,0.6712142502980631 -463,ACTGACGGCCTTGAATGTAAAACAAGGTTT,MED12,1.93,42.0,0.82034632,1,PLX_2uM,0.6712142502980631 -464,GTGGACGGCGGGCGCTTCACGCTCTGGGGG,TADA2B,14.52,61.0,0.626315789,0,AZD_200nM,0.3091922924668343 -465,GCGGACGGGGTGGTGGAGGCCACGGGGGAG,CD13,4.76,46.0,0.585714286,0,nodrug,0.4875423456895451 -466,GGGGACGGTGGGAAGAGCTATGTCGGGAGC,CD5,63.97,316.0,0.7907949790000001,0,nodrug,0.6112476412896809 -467,AAAAACGTACAGGCCCCTGTCATTGGGGGT,CD13,10.03,97.0,0.20439560399999998,0,nodrug,0.3966389341642597 -468,CATTACGTGAGCATGTACATCCACGGGAAC,TADA2B,27.62,116.0,0.9526315790000001,1,AZD_200nM,0.6412142445331532 -469,AAGCACGTGCTCTCAGGCACCCTTGGGATA,THY1,41.98,68.0,0.387096774,0,nodrug,0.5570274192136324 -470,GTCCACGTGGATGAAGGCGCCGCGGGGCAC,CD15,85.66,454.0,0.9963369959999999,1,nodrug,0.6432331853653754 -471,GGAAACGTGGCATGTCTCGGAGGCTGGCAT,NF1,40.05,1137.0,0.567934783,0,PLX_2uM,0.5084971983822911 -472,CGGTACGTGTGCTCGGGTATCCCAAGGGTG,THY1,42.59,69.0,0.419354839,0,nodrug,0.5367764276534638 -473,TTGAACGTTATTATAAACAACACTTGGCAA,CUL3,56.64,435.0,0.5129870129999999,0,PLX_2uM,0.55287724203212 -474,CCTTACGTTCACTGACTGGACCCATGGGTG,NF1,30.57,868.0,0.224184783,0,PLX_2uM,0.5429823237571325 -475,TTCAACGTTCTCCTTGTCGATTCCTGGAGA,NF1,98.41,2794.0,0.010869565,0,PLX_2uM,0.044583354882620864 -476,GGAGACGTTGTCGTAAGCAAAGCCAGGAAA,NF1,58.79,1669.0,0.331521739,0,PLX_2uM,0.6399845946447528 -477,TCTTACTAATAGAGACAATAAAGAGGGTGT,NF1,67.17,1907.0,0.595108696,0,PLX_2uM,0.6206029466860098 -478,AGCTACTACACTATTCTTCAGGTATGGCTG,TADA1,65.07,218.0,0.651376147,0,AZD_200nM,0.5712885770491039 -479,AGTGACTACATGAACATGACTCCCCGGAGG,CD28,88.99,194.0,0.7027027029999999,0,nodrug,0.5737588942318009 -480,GTGAACTACGACGAAGAGAACTGGAGGAAG,CD13,66.08,639.0,0.97032967,1,nodrug,0.7272135241956276 -481,TTTAACTAGAATGACCAGTCAACAGGGGAC,HPRT1,50.92,111.0,0.734375,0,6TG_2ug/mL,0.6290571309487075 -482,AGGCACTAGGACAGCACAGGAGGATGGTCT,MED12,17.0,370.0,0.42965368,0,AZD_200nM,0.6650307885783202 -483,AGGCACTAGGACAGCACAGGAGGATGGTCT,MED12,17.0,370.0,0.436147186,0,PLX_2uM,0.6650307885783202 -484,CCCTACTATGCCCTGTGAGGGGAAGGGCAG,MED12,31.92,695.0,0.637445887,0,AZD_200nM,0.6051069751117087 -485,CCCTACTATGCCCTGTGAGGGGAAGGGCAG,MED12,31.92,695.0,0.571428571,0,PLX_2uM,0.6051069751117087 -486,CAGGACTATGGAATGGGCCCGGGTCGGAGC,MED12,83.0,1807.0,0.331168831,0,AZD_200nM,0.5189940781462598 -487,CAGGACTATGGAATGGGCCCGGGTCGGAGC,MED12,83.0,1807.0,0.378787879,0,PLX_2uM,0.5189940781462598 -488,TTATACTATTGTCTGTCGGCCGGGAGGTTT,CD45,28.41,321.0,0.548736462,0,nodrug,0.631030811438622 -489,AGGCACTCAAACTGCGGCTCAACCTGGTGA,MED12,70.65,1538.0,0.738095238,0,AZD_200nM,0.5951705145347408 -490,AGGCACTCAAACTGCGGCTCAACCTGGTGA,MED12,70.65,1538.0,0.670995671,0,PLX_2uM,0.5951705145347408 -491,TGCCACTCACACAGGACTATGGAATGGGCC,MED12,82.82,1803.0,0.61038961,0,AZD_200nM,0.5393413168072981 -492,TGCCACTCACACAGGACTATGGAATGGGCC,MED12,82.82,1803.0,0.587662338,0,PLX_2uM,0.5393413168072981 -493,AGAGACTCACCCAGCGTTCCCAGCAGGTAT,CD5,2.83,14.0,0.615062762,0,nodrug,0.5866371251678562 -494,TGGCACTCACCTGCAGGTAGTGGCTGGTTC,MED12,84.84,1847.0,0.62012987,0,AZD_200nM,0.4535225551843571 -495,TGGCACTCACCTGCAGGTAGTGGCTGGTTC,MED12,84.84,1847.0,0.822510823,1,PLX_2uM,0.4535225551843571 -496,AGCCACTCACGCAACTAGCCAAAAAGGTAA,MED12,6.02,131.0,0.215367965,0,AZD_200nM,0.3875667635692026 -497,AGCCACTCACGCAACTAGCCAAAAAGGTAA,MED12,6.02,131.0,0.305194805,0,PLX_2uM,0.3875667635692026 -498,TGGAACTCAGTGACATTCCAGTTGGGGTCT,CD13,27.2,263.0,0.817582418,1,nodrug,0.6527396528865389 -499,CTGCACTCAGTGACTTGCAATAGCCGGTCA,MED12,49.79,1084.0,0.837662338,1,AZD_200nM,0.629255500426035 -500,CTGCACTCAGTGACTTGCAATAGCCGGTCA,MED12,49.79,1084.0,0.774891775,0,PLX_2uM,0.629255500426035 -501,AGCCACTCCACGCACGTGCCCTCCAGGTAG,H2-K,49.32,182.0,0.514792899,0,nodrug,0.5322902044424271 -502,AAGAACTCCCCAGTTCATGGTTACTGGTTC,CD33,16.21,59.0,0.6038961039999999,0,nodrug,0.3222077334266438 -503,GAGAACTCCCTATAGCGATGGCTCTGGCCA,NF1,43.18,1226.0,0.7486413040000001,0,PLX_2uM,0.5982898998362283 -504,CTATACTCCTTATGTTTCTCATGTGGGATT,MED12,89.57,1950.0,0.345238095,0,AZD_200nM,0.38598251197448163 -505,CTATACTCCTTATGTTTCTCATGTGGGATT,MED12,89.57,1950.0,0.46428571399999996,0,PLX_2uM,0.38598251197448163 -506,TCAAACTCCTTGCATGACATGAACTGGTAC,TADA2B,63.1,265.0,0.010526316,0,AZD_200nM,0.47479408414289886 -507,TCGAACTCGCTGTCCATCTCATACTGGCTG,CD13,18.2,176.0,0.356043956,0,nodrug,0.532449904169311 -508,TTGAACTCGGCATTCGAGCGAAACTGGGGC,CD28,36.24,79.0,0.135135135,0,nodrug,0.27509777010011216 -509,TAAGACTCTTGCCTAGCCCCGTGTAGGTGA,MED12,47.63,1037.0,0.811688312,1,AZD_200nM,0.6873314711282803 -510,TAAGACTCTTGCCTAGCCCCGTGTAGGTGA,MED12,47.63,1037.0,0.8311688309999999,1,PLX_2uM,0.6873314711282803 -511,AGACACTGAAACTTTACGTAAATGTGGGTG,NF1,91.33,2593.0,0.29076087,0,PLX_2uM,0.3490902392183468 -512,ACCAACTGAGCCAACATGTGACCGTGGACG,CD15,72.08,382.0,0.963369963,1,nodrug,0.7220038703906978 -513,TCAGACTGAGTCTCAAAACTTGCTTGGTCT,NF1,75.63,2147.0,0.059782609,0,PLX_2uM,0.4664253277823545 -514,ACTGACTGATAGCAGAATTAAGACCGGCTC,MED12,17.87,389.0,0.71969697,0,AZD_200nM,0.6644273913244809 -515,ACTGACTGATAGCAGAATTAAGACCGGCTC,MED12,17.87,389.0,0.676406926,0,PLX_2uM,0.6644273913244809 -516,TCCTACTGCACCGATGCTGTTCTGAGGGAA,NF1,49.31,1400.0,0.820652174,1,PLX_2uM,0.6394450119114709 -517,CCACACTGCAGAGACTTACAGATGAGGTTC,CD5,40.49,200.0,0.815899582,1,nodrug,0.6932374193369631 -518,TCCCACTGCCCTTATCAGGTCTCCCGGAAT,MED12,39.0,849.0,0.846320346,1,AZD_200nM,0.5655624094705088 -519,TCCCACTGCCCTTATCAGGTCTCCCGGAAT,MED12,39.0,849.0,0.883116883,1,PLX_2uM,0.5655624094705088 -520,ATCGACTGCTGGACAATGAGGATGGGGAAA,MED12,61.32,1335.0,0.507575758,0,AZD_200nM,0.5968651057496605 -521,ATCGACTGCTGGACAATGAGGATGGGGAAA,MED12,61.32,1335.0,0.534632035,0,PLX_2uM,0.5968651057496605 -522,AGATACTGCTGTAGCTTTGGCTTCTGGAAA,NF1,71.82,2039.0,0.13451087,0,PLX_2uM,0.21554420739074653 -523,ATACACTGGAAAAATGTCTTGCTGGGGTAA,NF1,3.35,95.0,0.801630435,1,PLX_2uM,0.6755188750389846 -524,CCACACTGGAACTCTCCACAGAACTGGTTG,CD43,53.42,211.0,0.442028986,0,nodrug,0.5037433107383693 -525,AGGTACTGGATCATGATGTTTCAAAGGAAG,NF2,14.62,87.0,0.955156951,1,PLX_2uM,0.6243285618769422 -526,CATGACTGGCTTCCTTTGTGCCCTTGGGGG,NF1,29.8,846.0,0.03125,0,PLX_2uM,0.269618915215415 -527,AGCCACTGGGACGAGCGCCAGGCCCGGGTC,CD15,69.62,369.0,0.509157509,0,nodrug,0.4062038063482209 -528,AGATACTGGGCTAACCTAAAGCTGTGGTTC,TADA1,9.55,32.0,0.917431193,1,AZD_200nM,0.7178624595786972 -529,GAGAACTGGGGACTGGTGACCTACCGGGAG,CD13,37.44,362.0,0.43956044,0,nodrug,0.5162090170698281 -530,TTCCACTGGGGCAGCGGGATGACACGGCGC,CCDC101,71.67,210.0,0.7449664429999999,0,AZD_200nM,0.5420960625168542 -531,TCGCACTGTCAGTGGTGTACTCCCAGGAGA,CD13,3.52,34.0,0.843956044,1,nodrug,0.6655728196170334 -532,CGCCACTGTCCAGGAAACAGGGGCTGGTGG,CD15,66.98,355.0,0.868131868,1,nodrug,0.5530637049808119 -533,GCAGACTGTTCCTGGCTGAATTTCAGGTAT,CD45,42.74,483.0,0.180505415,0,nodrug,0.19718415990241206 -534,ACTTACTGTTCTGGTTCACTCCTGTGGGGC,CD5,85.22,421.0,0.21757322199999998,0,nodrug,0.4151420909903758 -535,TCTGACTGTTCTTGCAACAATAGCAGGTGA,NF1,84.71,2405.0,0.18614130399999998,0,PLX_2uM,0.4857107762715668 -536,TCTTACTGTTTCACGTTGTCCCCCAGGGCC,TADA1,5.97,20.0,0.80733945,1,AZD_200nM,0.5021972528993512 -537,AGAGACTTACAGATGAGGTTCCCCAGGCCC,CD5,39.88,197.0,0.878661088,1,nodrug,0.6181836871047122 -538,CAGCACTTACAGGTGACGTTGAGCTGGATG,CD33,62.91,229.0,0.543290043,0,nodrug,0.5428164640497144 -539,AAGTACTTACTGATCCGAAGATCCAGGCGC,NF1,92.11,2615.0,0.41576087,0,PLX_2uM,0.3395889314050448 -540,TGGAACTTACTTTAATAGAAACTTTGGTGT,NF1,61.75,1753.0,0.403532609,0,PLX_2uM,0.43849654819490685 -541,AGATACTTATAGCTTCTTGTCTCCAGGTCT,NF1,17.08,485.0,0.974184783,1,PLX_2uM,0.5347766406692409 -542,AAGGACTTATTGAGAGAGAATATTTGGCAC,CUL3,98.05,753.0,0.16883116899999998,0,PLX_2uM,0.10721962480396696 -543,GGGTACTTCATACTTTGGAAGTGCTGGACA,MED12,21.22,462.0,0.467532468,0,AZD_200nM,0.5026878103235484 -544,GGGTACTTCATACTTTGGAAGTGCTGGACA,MED12,21.22,462.0,0.607142857,0,PLX_2uM,0.5026878103235484 -545,CTGAACTTCGGAATTCTGCCTCTGGGGTTT,NF1,4.9,139.0,0.9103260870000001,1,PLX_2uM,0.6165433109163212 -546,CAGAACTTGACTGTTGTAAGTGTCAGGTCC,NF1,80.45,2284.0,0.39130434799999997,0,PLX_2uM,0.4543491976925942 -547,GTATACTTGCACTCTCATCTCCCGAGGGGA,MED12,28.48,620.0,0.9329004329999999,1,AZD_200nM,0.6662841907846236 -548,GTATACTTGCACTCTCATCTCCCGAGGGGA,MED12,28.48,620.0,0.891774892,1,PLX_2uM,0.6662841907846236 -549,AGGTACTTGGAGCTGTGATATGTGGGGTAG,CD43,8.35,33.0,0.7826086959999999,0,nodrug,0.7600831415682819 -550,TAACACTTGGTTCACTGACTTGGCTGGCAC,MED12,5.51,120.0,0.472943723,0,AZD_200nM,0.5239116912231668 -551,TAACACTTGGTTCACTGACTTGGCTGGCAC,MED12,5.51,120.0,0.457792208,0,PLX_2uM,0.5239116912231668 -552,CTGCACTTTCCAAGAGATTGAACAAGGCAC,CD45,89.2,1008.0,0.924187726,1,nodrug,0.5598786854855194 -553,TCAAACTTTGAACTGGTAAGGTTAAGGCTG,NF1,55.05,1563.0,0.555706522,0,PLX_2uM,0.48104094452287605 -554,GTGCAGAAAAGCTATTTGACTTGGTGGATG,NF1,8.88,252.0,0.7160326090000001,0,PLX_2uM,0.5569975719570149 -555,TCACAGAAAGCGGCTGGATCTCCAGGGACG,TADA2B,99.05,416.0,0.23157894699999998,0,AZD_200nM,0.31212272490395204 -556,GAGCAGAAAGGGAGCCAGAGGCGATGGAAC,MED12,25.45,554.0,0.443722944,0,AZD_200nM,0.5073876822779798 -557,GAGCAGAAAGGGAGCCAGAGGCGATGGAAC,MED12,25.45,554.0,0.529220779,0,PLX_2uM,0.5073876822779798 -558,ACTAAGAAAGTAACAACGTGGAAGAGGTAG,NF1,74.11,2104.0,0.97826087,1,PLX_2uM,0.5479022976996916 -559,CATGAGAAAGTGGGACTTCAAATACGGACC,NF1,32.16,913.0,0.3125,0,PLX_2uM,0.5559766445901502 -560,CCTCAGAAATCACCAGTGCTTCGTTGGCCA,NF2,62.52,372.0,0.596412556,0,PLX_2uM,0.5482999117924319 -561,AACCAGAAATGATGATTGCTGCTCAGGGGC,CD45,76.19,861.0,0.314079422,0,nodrug,0.3805168695360439 -562,GCACAGAAATTCTCAAGTGGTTGCGGGAAA,NF1,21.13,600.0,0.339673913,0,PLX_2uM,0.4293981999696106 -563,AGAGAGAAATTGACATTCACCTGGTGGTAC,CD45,10.0,113.0,0.592057762,0,nodrug,0.7084276289224746 -564,AGCCAGAAATTTGGATCCATAGCCAGGGCC,CD33,4.4,16.0,0.015151515,0,nodrug,0.3997502560613228 -565,CTGTAGAACAAGTGCGCAGAATACTGGCCA,CD45,52.3,591.0,0.422382671,0,nodrug,0.47597134676058594 -566,TAAGAGAACACTTTACCTGTCCTTGGGAGT,NF1,33.43,949.0,0.638586957,0,PLX_2uM,0.540986793950432 -567,GGTTAGAACCATCAGAGAGCCTTGAGGAAA,NF1,46.92,1332.0,0.894021739,1,PLX_2uM,0.7632527678880929 -568,AAGAAGAACTTAAGCGAGGCCCTGGGGGAC,TADA1,5.67,19.0,0.935779817,1,AZD_200nM,0.6390994153187355 -569,GAACAGAAGAACTTCCAGAGGAGGAGGGAG,MED12,57.51,1252.0,0.514069264,0,AZD_200nM,0.5202848543102698 -570,GAACAGAAGAACTTCCAGAGGAGGAGGGAG,MED12,57.51,1252.0,0.53030303,0,PLX_2uM,0.5202848543102698 -571,TTACAGAAGATGGCTGAATACTACCGGCCA,MED12,9.42,205.0,0.577922078,0,AZD_200nM,0.6258895562285625 -572,TTACAGAAGATGGCTGAATACTACCGGCCA,MED12,9.42,205.0,0.595238095,0,PLX_2uM,0.6258895562285625 -573,AAGGAGAAGATTGAAGGGACCCTTGGGGTT,MED12,33.16,722.0,0.622294372,0,AZD_200nM,0.4205442444525362 -574,AAGGAGAAGATTGAAGGGACCCTTGGGGTT,MED12,33.16,722.0,0.575757576,0,PLX_2uM,0.4205442444525362 -575,AGTAAGAAGCAGCGCCTGGATCTTCGGATC,NF1,92.11,2615.0,0.585597826,0,PLX_2uM,0.27288647979536856 -576,TACAAGAAGCTGGTGAAGAAATGTAGGTAC,CD5,82.59,408.0,0.765690377,0,nodrug,0.5409172532261283 -577,TCACAGAAGCTTTGTTGGAGATCATGGAGG,NF1,77.91,2212.0,0.130434783,0,PLX_2uM,0.32633176353159404 -578,GATAAGAAGGGCTGCTGGCTCAATAGGGAC,MED12,67.8,1476.0,0.042207792,0,AZD_200nM,0.2672868315560423 -579,GATAAGAAGGGCTGCTGGCTCAATAGGGAC,MED12,67.8,1476.0,0.09199134199999999,0,PLX_2uM,0.2672868315560423 -580,ATCAAGAAGTACAGGAGGAGACTCAGGGCA,CD33,23.63,86.0,0.612554113,0,nodrug,0.5075116463111974 -581,GCGCAGAATACTGGCCAAGCATGGAGGAAG,CD45,52.65,595.0,0.9061371840000001,1,nodrug,0.7216399259556077 -582,GCCAAGAATCAAGTGGCATGTTACTGGTGC,CD43,63.29,250.0,0.268115942,0,nodrug,0.41908403249560033 -583,GCGGAGAATCCGAGATATGAGCCGCGGGCG,H2-K,18.43,68.0,0.875739645,1,nodrug,0.6794619713927196 -584,GTGCAGAATGGCTAGGAGTGCTTAAGGCCT,MED12,50.34,1096.0,0.9058441559999999,1,AZD_200nM,0.6187933707621068 -585,GTGCAGAATGGCTAGGAGTGCTTAAGGCCT,MED12,50.34,1096.0,0.94047619,1,PLX_2uM,0.6187933707621068 -586,AAGAAGACAATTCAGTAGTTTCCAAGGGGG,CD43,19.75,78.0,0.826086957,1,nodrug,0.6079657354895138 -587,GGGGAGACACTCACGGGTTATTATTGGGGT,CD13,81.18,785.0,0.032967033,0,nodrug,0.2046957297007308 -588,GATGAGACAGTTGATGACTTCTGGAGGATG,CD45,49.82,563.0,0.989169675,1,nodrug,0.7242266381943905 -589,GAAGAGACATGTTGACCCTTTCATGGGTGA,MED12,8.41,183.0,0.851731602,1,AZD_200nM,0.5879332047386917 -590,GAAGAGACATGTTGACCCTTTCATGGGTGA,MED12,8.41,183.0,0.853896104,1,PLX_2uM,0.5879332047386917 -591,GCCAAGACCCAAACCCAGCGGGCCTGGCCC,CD5,75.51,373.0,0.062761506,0,nodrug,0.321362066574392 -592,CGATAGACCGCGGGGTTGCGGTCGAGGAAA,CD15,89.81,476.0,0.054945055,0,nodrug,0.3636035349198148 -593,ACGAAGACCTGAAAACGTGGACGGCGGCGG,H2-K,42.01,155.0,0.355029586,0,nodrug,0.7052477673489355 -594,CCAAAGACCTGGTGTCTATGATTCAGGACC,CD45,85.58,967.0,0.19133574,0,nodrug,0.3177153612039501 -595,TCAAAGACCTGTGCCATCTGGTCCTGGTTG,MED12,43.27,942.0,0.522727273,0,AZD_200nM,0.5122899741942928 -596,TCAAAGACCTGTGCCATCTGGTCCTGGTTG,MED12,43.27,942.0,0.487012987,0,PLX_2uM,0.5122899741942928 -597,ACACAGACGGTCCATGGCAGCCCCCGGCCT,CD15,27.92,148.0,0.435897436,0,nodrug,0.5967951224991908 -598,CAGTAGACGGTGGACCGCAGGTTGGGGTGG,CD13,81.8,791.0,0.44285714299999995,0,nodrug,0.4475330398007965 -599,AGAGAGACTCAGGGCCTACCTGGAGGGCAC,H2-K,49.05,181.0,0.704142012,0,nodrug,0.6737584651196868 -600,ACGGAGACTGGCCCTGCAGCTGGATGGTGT,MED12,14.19,309.0,0.882034632,1,AZD_200nM,0.6537347122620026 -601,ACGGAGACTGGCCCTGCAGCTGGATGGTGT,MED12,14.19,309.0,0.937229437,1,PLX_2uM,0.6537347122620026 -602,TGCCAGACTTCAACGCCGGCGCCATGGAGA,CD13,36.5,353.0,0.605494505,0,nodrug,0.5546737522073658 -603,TCATAGACTTCTCACACAGGATAATGGTAA,TADA1,16.12,54.0,0.7064220179999999,0,AZD_200nM,0.441472754497852 -604,ATGCAGACTTTGCTTTCCTTGGTCAGGCAG,HPRT1,68.81,150.0,0.53125,0,6TG_2ug/mL,0.39334432813846154 -605,GAGGAGAGACTCACCGGAAAGGCCCGGATC,CUL3,2.6,20.0,0.636363636,0,PLX_2uM,0.5109215355494083 -606,TTGAAGAGAGACAGTACATGCCCTGGGAGG,CD13,71.77,694.0,0.946153846,1,nodrug,0.6358253705390626 -607,AAGCAGAGAGACTCAGGGCCTACCTGGAGG,H2-K,48.78,180.0,0.828402367,1,nodrug,0.5418126833223745 -608,TGACAGAGATGGATCCCAGCAGACAGGGTT,CD45,88.5,1000.0,0.7364620940000001,0,nodrug,0.5121376028246657 -609,TGCCAGAGATTGCTCAGGAAGCAATGGAGG,NF1,19.2,545.0,0.888586957,1,PLX_2uM,0.607293863055369 -610,GTTAAGAGCATAGACAGTATGTGTAGGGAT,TADA1,87.76,294.0,0.816513761,1,AZD_200nM,0.5573816031753548 -611,TTAAAGAGCATTAATATGGTCATCTGGAAA,CUL3,77.99,599.0,0.5324675320000001,0,PLX_2uM,0.4584024943315294 -612,TCAGAGAGCCTTGAGGAAAACCAGCGGAAC,NF1,47.06,1336.0,0.961956522,1,PLX_2uM,0.7599819042010141 -613,CTCTAGAGCGCTCTGGTGTATGGCTGGTGG,MED12,65.5,1426.0,0.7326839829999999,0,AZD_200nM,0.577943960681523 -614,CTCTAGAGCGCTCTGGTGTATGGCTGGTGG,MED12,65.5,1426.0,0.70021645,0,PLX_2uM,0.577943960681523 -615,AACAAGAGCTCTTGGTTGCAGGGATGGATT,NF1,79.04,2244.0,0.36005434799999997,0,PLX_2uM,0.42038724117427095 -616,CTAGAGAGCTGTTGTTGAAGTTGCCGGACC,MED12,99.08,2157.0,0.082251082,0,AZD_200nM,0.10711250771862857 -617,CTAGAGAGCTGTTGTTGAAGTTGCCGGACC,MED12,99.08,2157.0,0.14177489199999999,0,PLX_2uM,0.10711250771862857 -618,CGTTAGAGCTTGTTGTCACAGTGGTGGGGG,CD43,40.76,161.0,0.347826087,0,nodrug,0.5861035518371583 -619,TCATAGAGGAACTGGTATTGCTCCTGGTGA,CD45,92.12,1041.0,0.707581227,0,nodrug,0.4563142106601447 -620,CCCAAGAGGAATTGCTTCCAAAAAGGGTAA,NF2,28.74,171.0,0.215246637,0,PLX_2uM,0.5084282240785446 -621,CGCCAGAGGCAAAAGCGGAGGACTGGGGCC,CD43,70.63,279.0,0.7463768120000001,0,nodrug,0.4525486218163258 -622,CCAAAGAGGCAGATCAGCTGAAGCAGGACC,NF2,76.47,455.0,0.376681614,0,PLX_2uM,0.48854592836023575 -623,GTGTAGAGGCCACGCAGCTTTGTCCGGTAA,CCDC101,19.45,57.0,0.637583893,0,AZD_200nM,0.581105964850032 -624,AGGGAGAGGGAGGCCGGGGACCAGGGGCTC,MED12,28.94,630.0,0.27380952399999997,0,AZD_200nM,0.45027209642169647 -625,AGGGAGAGGGAGGCCGGGGACCAGGGGCTC,MED12,28.94,630.0,0.345238095,0,PLX_2uM,0.45027209642169647 -626,CTCCAGAGGGGAGGGGTCACTGGGTGGATC,CD45,67.7,765.0,0.296028881,0,nodrug,0.49431239502688074 -627,ATGTAGAGGTGGCAATCCGGCAGTGGGATT,MED12,10.66,232.0,0.726190476,0,AZD_200nM,0.6853606644910734 -628,ATGTAGAGGTGGCAATCCGGCAGTGGGATT,MED12,10.66,232.0,0.664502165,0,PLX_2uM,0.6853606644910734 -629,CTCTAGAGTGTCGATCATGAACTCAGGTGC,MED12,46.9,1021.0,0.647186147,0,AZD_200nM,0.6366789952378156 -630,CTCTAGAGTGTCGATCATGAACTCAGGTGC,MED12,46.9,1021.0,0.643939394,0,PLX_2uM,0.6366789952378156 -631,TGACAGAGTTAGTGAATGGAGACCAGGTTT,CD45,79.12,894.0,0.6895306859999999,0,nodrug,0.5826642480517696 -632,GAGCAGAGTTTCCGAGTGGACCTGAGGACC,H2-K,26.83,99.0,0.710059172,0,nodrug,0.6538654459402696 -633,CATGAGATAGAAGCTGCTATAGTGCGGATA,CUL3,92.19,708.0,0.7857142859999999,0,PLX_2uM,0.5571031781677506 -634,ACTCAGATCATCACCAAGTACTTATGGGAG,MED12,8.91,194.0,0.235930736,0,AZD_200nM,0.2916166779707911 -635,ACTCAGATCATCACCAAGTACTTATGGGAG,MED12,8.91,194.0,0.24783549800000002,0,PLX_2uM,0.2916166779707911 -636,GTGGAGATCCAGATGGAAAACAAGTGGAAA,CD5,10.93,54.0,0.807531381,1,nodrug,0.7080825955059099 -637,CTGGAGATCCAGCCGCTTTCTGTGAGGAAA,TADA2B,97.62,410.0,0.931578947,1,AZD_200nM,0.488715681354712 -638,AAAAAGATCGTACATGTTCACCGGAGGCAA,TADA1,82.09,275.0,0.7247706420000001,0,AZD_200nM,0.6515511821935571 -639,CCAGAGATCTGTACCTGGTGCACCTGGCTG,MED12,69.22,1507.0,0.18939393899999998,0,AZD_200nM,0.4755693161538872 -640,CCAGAGATCTGTACCTGGTGCACCTGGCTG,MED12,69.22,1507.0,0.221861472,0,PLX_2uM,0.4755693161538872 -641,TTACAGATGAGGTTCCCCAGGCCCAGGGGC,CD5,39.47,195.0,0.372384937,0,nodrug,0.4759634863696512 -642,TTACAGATGATGAAAAGCAGCTGATGGATG,CD45,40.09,453.0,0.42599278,0,nodrug,0.6017902460490654 -643,ACACAGATGCAGGCTGCAGATGCCCGGAAG,CD13,22.44,217.0,0.315384615,0,nodrug,0.5367359624115754 -644,GCAAAGATGCAGGTAGAGTGTCTCCGGAGC,TADA1,79.4,266.0,0.201834862,0,AZD_200nM,0.4951334895656387 -645,TATGAGATGGACAGCGAGTTCGAGGGGGAG,CD13,18.92,183.0,0.453846154,0,nodrug,0.6055492511911513 -646,GACCAGATGGCACAGGTCTTTGAGGGGTAA,MED12,43.59,949.0,0.993506494,1,AZD_200nM,0.7437718960647818 -647,GACCAGATGGCACAGGTCTTTGAGGGGTAA,MED12,43.59,949.0,0.9859307359999999,1,PLX_2uM,0.7437718960647818 -648,CTGAAGATGGCTGAGGAGTCAGAGAGGAGG,NF2,74.79,445.0,0.48878923799999996,0,PLX_2uM,0.6297343090177756 -649,ACAGAGATGTCCAGCGGGGGCAGCGGGGTG,TADA2B,35.95,151.0,0.32631578899999997,0,AZD_200nM,0.33956074695176247 -650,GGTAAGATGTTTGGTATTGTGGTGGGGATT,NF1,94.96,2696.0,0.18070652199999998,0,PLX_2uM,0.3833065165329386 -651,CAGAAGATTATAGGCAGCTGACCTAGGAGA,NF1,65.9,1871.0,0.732336957,0,PLX_2uM,0.603987247276124 -652,CCACAGATTCTCCAGCTATGTATCGGGAAC,NF2,50.59,301.0,0.869955157,1,PLX_2uM,0.5883621446032402 -653,TCAGAGATTTGGACCAGGCAAGCATGGAAG,NF1,37.76,1072.0,0.559782609,0,PLX_2uM,0.5455354124997214 -654,CCGCAGCAAAACCTGGAAAACCCAAGGGAA,TADA1,28.66,96.0,0.642201835,0,AZD_200nM,0.5485001201893008 -655,TCAAAGCAAAAGTCTCTCTCTCATAGGAGC,NF1,77.25,2193.0,0.524456522,0,PLX_2uM,0.4251612073731052 -656,ACTTAGCAAAGATATCTTCAGCAGTGGGGA,MED12,37.94,826.0,0.279220779,0,AZD_200nM,0.5430561196750195 -657,ACTTAGCAAAGATATCTTCAGCAGTGGGGA,MED12,37.94,826.0,0.316017316,0,PLX_2uM,0.5430561196750195 -658,GGCCAGCAAGTACGTGGACATCTTGGGCGT,CD13,28.44,275.0,0.364835165,0,nodrug,0.4767249672991095 -659,GTAAAGCAAGTACTTACATCAATTGGGAAG,NF1,11.8,335.0,0.40625,0,PLX_2uM,0.49452313359134714 -660,GTGGAGCACACCCAGCAATACGAATGGCAC,NF1,16.24,461.0,0.46875,0,PLX_2uM,0.7117249235057395 -661,TACCAGCACATAGTGAAATGTAGAAGGTGA,NF1,14.27,405.0,0.957880435,1,PLX_2uM,0.5420625153355191 -662,AGTCAGCACCCAGGTACTCCACGTAGGAGG,CD13,43.12,417.0,0.9043956040000001,1,nodrug,0.7967689979848542 -663,CAGCAGCACGCCCACCGGTCGCGACGGGGT,CD15,35.28,187.0,0.47619047600000003,0,nodrug,0.4994467617903585 -664,GAGCAGCACTTCAGAAAAGAGTGATGGCAC,NF1,26.73,759.0,0.869565217,1,PLX_2uM,0.6537107199730807 -665,GAGTAGCAGAAACTGATTATGAAATGGGTG,NF1,90.81,2578.0,0.08423913,0,PLX_2uM,0.20633353714664368 -666,AGGAAGCAGATATCCGGTGTGGGGTGGATG,NF1,25.43,722.0,0.654891304,0,PLX_2uM,0.626972957126174 -667,GTTCAGCAGATGAAAGCCCAGGCCAGGGAG,NF2,54.62,325.0,0.941704036,1,PLX_2uM,0.45367597850959523 -668,CCAGAGCAGATGACGGTGAGCGCCTGGCCG,CD5,53.04,262.0,0.259414226,0,nodrug,0.43442479392210026 -669,CAGCAGCAGCAGCAGCAGATCCTGCGGGTA,MED12,95.91,2088.0,0.046536797000000005,0,AZD_200nM,0.18153102766874865 -670,CAGCAGCAGCAGCAGCAGATCCTGCGGGTA,MED12,95.91,2088.0,0.064935065,0,PLX_2uM,0.18153102766874865 -671,CAGCAGCAGCAGCAGTACCACATCCGGCAG,MED12,95.5,2079.0,0.06385281400000001,0,AZD_200nM,0.1378754766394972 -672,CAGCAGCAGCAGCAGTACCACATCCGGCAG,MED12,95.5,2079.0,0.103896104,0,PLX_2uM,0.1378754766394972 -673,ATGGAGCAGGAGGGGCCCGAGTATTGGGAG,H2-K,21.68,80.0,0.7928994079999999,0,nodrug,0.3812112778929845 -674,TAGAAGCAGGTAGTCTGGGGATACAGGGCC,CCDC101,81.23,238.0,0.7852348990000001,0,AZD_200nM,0.3614381939374029 -675,GAATAGCAGTAACTCTTTGTCGTTTGGCAT,NF1,69.32,1968.0,0.286684783,0,PLX_2uM,0.35730499250202086 -676,ATCGAGCAGTTCGGCTTCGGAAACTGGGTG,TADA2B,21.19,89.0,0.27894736800000003,0,AZD_200nM,0.23750003122546642 -677,TGTAAGCATACCTGGTATAAACAGTGGCAC,NF1,48.15,1367.0,0.695652174,0,PLX_2uM,0.7639251761141083 -678,CACCAGCATTAAGGAGTGAAGGGATGGCAG,MED12,52.96,1153.0,0.992424242,1,AZD_200nM,0.6784987704254429 -679,CACCAGCATTAAGGAGTGAAGGGATGGCAG,MED12,52.96,1153.0,0.965367965,1,PLX_2uM,0.6784987704254429 -680,CTTCAGCATTCTCAGGATAAAATTTGGCCA,NF2,16.81,100.0,0.01793722,0,PLX_2uM,0.26827704382432865 -681,CAAAAGCCAAAATGGAAGATGGCCAGGTAA,NF1,28.25,802.0,0.885869565,1,PLX_2uM,0.5153465768645958 -682,GCTCAGCCACAGAGATGTCCAGCGGGGGCA,TADA2B,36.67,154.0,0.957894737,1,AZD_200nM,0.7173923497754522 -683,GCACAGCCACAGCTACCCAAAAGAGGGCTT,NF1,81.58,2316.0,0.574728261,0,PLX_2uM,0.5799734092664787 -684,CCTCAGCCACCACCAACCCCGCCTCGGCCA,CD13,6.2,60.0,0.096703297,0,nodrug,0.5568994027686827 -685,AAAAAGCCACCACCTAGAATCGAAAGGGGC,NF1,50.58,1436.0,0.923913043,1,PLX_2uM,0.6294067360446168 -686,GGGCAGCCACCTTGTCTCCAGGTCTGGCCA,CCDC101,53.92,158.0,0.42281879200000005,0,AZD_200nM,0.3811501626207228 -687,ACATAGCCACTGGGCCGCTGTTGCAGGTGG,MED12,91.5,1992.0,0.12770562800000002,0,AZD_200nM,0.1383935072814286 -688,ACATAGCCACTGGGCCGCTGTTGCAGGTGG,MED12,91.5,1992.0,0.012987013,0,PLX_2uM,0.1383935072814286 -689,AGGCAGCCAGCAGGTGGCGGTCGCAGGAGG,MED12,55.31,1204.0,0.26082251100000003,0,AZD_200nM,0.45679845111548545 -690,AGGCAGCCAGCAGGTGGCGGTCGCAGGAGG,MED12,55.31,1204.0,0.226190476,0,PLX_2uM,0.45679845111548545 -691,CCCGAGCCAGGAAATCCATGAGCCTGGACA,NF1,88.87,2523.0,0.39945652200000004,0,PLX_2uM,0.37675704492276113 -692,AATGAGCCAGGCAGCCCGCATCACAGGCAC,MED12,7.07,154.0,0.9686147190000001,1,AZD_200nM,0.5640578318188273 -693,AATGAGCCAGGCAGCCCGCATCACAGGCAC,MED12,7.07,154.0,0.99025974,1,PLX_2uM,0.5640578318188273 -694,CTGCAGCCAGGGGCCGGGGACGGTGGGAAG,CD5,62.96,311.0,0.79916318,0,nodrug,0.5088160732603096 -695,CGAAAGCCAGGTAGAACTTGTAGCGGGCCA,CD15,76.79,407.0,0.333333333,0,nodrug,0.562596855256616 -696,CTGTAGCCATTTAAAGAACAAATTTGGGGA,MED12,45.38,988.0,0.021645022000000003,0,AZD_200nM,0.17469666125821603 -697,CTGTAGCCATTTAAAGAACAAATTTGGGGA,MED12,45.38,988.0,0.037878788,0,PLX_2uM,0.17469666125821603 -698,GACAAGCCCAGACCAAACTAGAAGTGGCCC,NF1,24.23,688.0,0.46195652200000004,0,PLX_2uM,0.6181083997303642 -699,CAGGAGCCCAGCAATTTGTGGCAAAGGATC,TADA1,37.91,127.0,0.24770642199999998,0,AZD_200nM,0.48805543781163263 -700,TGAAAGCCCAGGCCAGGGAGGAGAAGGCTA,NF2,55.13,328.0,0.367713004,0,PLX_2uM,0.5219837321738531 -701,TAGAAGCCCAGGGCCCAGCACCTCAGGGTG,H2-K,60.43,223.0,0.218934911,0,nodrug,0.35028472010845885 -702,GGGAAGCCCATCTGCAGGGTCCAGCGGTTC,CD13,56.15,543.0,0.906593407,1,nodrug,0.5943680071072928 -703,TTATAGCCCCCCTTGAGCACACAGAGGGCT,HPRT1,30.28,66.0,0.828125,1,6TG_2ug/mL,0.7433749142037764 -704,GAGCAGCCCCCGGTTTGTCAGTTTTGGGGG,MED12,81.26,1769.0,0.04978355,0,AZD_200nM,0.12916911358049246 -705,GAGCAGCCCCCGGTTTGTCAGTTTTGGGGG,MED12,81.26,1769.0,0.095238095,0,PLX_2uM,0.12916911358049246 -706,CACCAGCCCCTGTTTCCTGGACAGTGGCGG,CD15,66.23,351.0,0.923076923,1,nodrug,0.6494957627020873 -707,TTGTAGCCCTCTGTGTGCTCAAGGGGGGCT,HPRT1,31.65,69.0,0.8125,1,6TG_2ug/mL,0.6220820463352632 -708,AGGGAGCCCTTGAGGTGCACCACCAGGTAC,CD13,16.86,163.0,0.52967033,0,nodrug,0.5934264416723093 -709,ACCTAGCCGGCTCCAAACGGGGAAAGGAGG,TADA2B,78.57,330.0,0.115789474,0,AZD_200nM,0.45838698667384586 -710,CAATAGCCGGTCAGCTCTGCACACAGGATT,MED12,49.52,1078.0,0.96969697,1,AZD_200nM,0.6960548613175304 -711,CAATAGCCGGTCAGCTCTGCACACAGGATT,MED12,49.52,1078.0,0.962121212,1,PLX_2uM,0.6960548613175304 -712,TTGAAGCCGTCAGCACCACTCTCTTGGGGC,MED12,78.14,1701.0,0.346320346,0,AZD_200nM,0.32900312736628085 -713,TTGAAGCCGTCAGCACCACTCTCTTGGGGC,MED12,78.14,1701.0,0.363636364,0,PLX_2uM,0.32900312736628085 -714,TCGCAGCCGTCGTAGGCGTACTGCTGGTAC,H2-K,36.86,136.0,0.50887574,0,nodrug,0.516007479636129 -715,TGGTAGCCGTGGTAGCGGCGGTGGTGGCCG,TADA2B,10.71,45.0,0.336842105,0,AZD_200nM,0.4700098695179987 -716,ATGGAGCCGTGTTTGCTGTTCTCAAGGCTG,MED12,56.22,1224.0,0.980519481,1,AZD_200nM,0.5792809435048902 -717,ATGGAGCCGTGTTTGCTGTTCTCAAGGCTG,MED12,56.22,1224.0,0.9664502159999999,1,PLX_2uM,0.5792809435048902 -718,ACTCAGCCTCTGCATCGGCCTTGGCGGTTG,CCDC101,22.87,67.0,0.8456375840000001,1,AZD_200nM,0.510896567928305 -719,CACCAGCCTGCTCCCACTTGTGTTTGGTGA,H2-K,44.99,166.0,0.8994082840000001,1,nodrug,0.38414853575939895 -720,TCCAAGCCTTACTCGGAGAAGCAGAGGCAG,MED12,12.86,280.0,0.730519481,0,AZD_200nM,0.6338897749892306 -721,TCCAAGCCTTACTCGGAGAAGCAGAGGCAG,MED12,12.86,280.0,0.754329004,0,PLX_2uM,0.6338897749892306 -722,TTCTAGCCTTCTCCTCCCTGGCCTGGGCTT,NF2,54.62,325.0,0.802690583,1,PLX_2uM,0.41607572645910806 -723,ACACAGCCTTGAGAACAGCAAACACGGCTC,MED12,56.09,1221.0,0.975108225,1,AZD_200nM,0.6691425411560156 -724,ACACAGCCTTGAGAACAGCAAACACGGCTC,MED12,56.09,1221.0,0.9480519479999999,1,PLX_2uM,0.6691425411560156 -725,GAACAGCGACGTGGAAGTCTGTGTCGGGAA,CD28,30.73,67.0,0.540540541,0,nodrug,0.5821685211558474 -726,CTATAGCGATGGCTCTGGCCAATGTGGTTC,NF1,43.29,1229.0,0.698369565,0,PLX_2uM,0.6447032787442583 -727,TTAAAGCGATTGCTAGGCCCGGTATGGGTA,NF1,58.05,1648.0,0.229619565,0,PLX_2uM,0.48058929639674447 -728,GTGAAGCGCCCGCCGTCCACCAGCTGGTAG,TADA2B,12.62,53.0,0.43157894700000005,0,AZD_200nM,0.5559720532582934 -729,ACCCAGCGCTGGCCCGGGGGCCTGGGGCTG,CD15,53.96,286.0,0.575091575,0,nodrug,0.4546143902145976 -730,CGCCAGCGCTTGGCAGCCAAGGAGGGGCTT,TADA1,98.51,330.0,0.128440367,0,AZD_200nM,0.2699210349530914 -731,AGGCAGCGGAGCACTCACCTGGCCAGGTTG,CD13,69.18,669.0,0.048351648,0,nodrug,0.44292432486482924 -732,AGGCAGCGGCGGCGGCAGAAGCCCTGGCGA,CD15,52.64,279.0,0.43956044,0,nodrug,0.4460145081512959 -733,GAGGAGCGGGCTGCACCTTGCTGTAGGAGA,CD13,49.43,478.0,0.6087912089999999,0,nodrug,0.6329857965108676 -734,AACCAGCGGTTGGTCGTACTGTTTGGGGTG,MED12,34.82,758.0,0.21969697,0,AZD_200nM,0.2716746018486799 -735,AACCAGCGGTTGGTCGTACTGTTTGGGGTG,MED12,34.82,758.0,0.214285714,0,PLX_2uM,0.2716746018486799 -736,TCTCAGCGTCACCCGGTAGGAATCGGGTTT,CD13,8.69,84.0,0.46263736299999997,0,nodrug,0.514938951347919 -737,CATCAGCGTCGCTCTCCTGCTCTCAGGTAC,THY1,6.79,11.0,0.129032258,0,nodrug,0.5177163814260561 -738,ATAAAGCTACAGTAAAAGAAAAAAAGGAAA,NF1,48.78,1385.0,0.09782608699999999,0,PLX_2uM,0.29652599394274665 -739,CAGCAGCTACCTGGGGCTGGGACTGGGGCT,MED12,97.98,2133.0,0.004329004,0,AZD_200nM,0.03693925699235429 -740,CAGCAGCTACCTGGGGCTGGGACTGGGGCT,MED12,97.98,2133.0,0.019480518999999998,0,PLX_2uM,0.03693925699235429 -741,CTGCAGCTCACACCTTCACCTACACGGGGC,MED12,47.59,1036.0,0.593073593,0,AZD_200nM,0.5748682815249019 -742,CTGCAGCTCACACCTTCACCTACACGGGGC,MED12,47.59,1036.0,0.7056277059999999,0,PLX_2uM,0.5748682815249019 -743,CACCAGCTCAGTCTTGTCAATGTCGGGGGG,CD13,15.51,150.0,0.303296703,0,nodrug,0.39890632083318345 -744,TTGAAGCTCATAGACTTCTCACACAGGATA,TADA1,15.52,52.0,0.76146789,0,AZD_200nM,0.7011953786543369 -745,CTCCAGCTCCTCCCAGATTGCAGCTGGTGC,CD5,32.39,160.0,0.175732218,0,nodrug,0.43182376966183067 -746,AACCAGCTCCTCTTCAGCATTCTCAGGATA,NF2,17.48,104.0,0.33632287,0,PLX_2uM,0.5474669853066069 -747,GATAAGCTGAAAAAGGGAGTCAAAGGGGTA,CUL3,52.21,401.0,0.876623377,1,PLX_2uM,0.5683908485790609 -748,CGGAAGCTGAAAGAGAGACAGCGGCGGAAG,TADA2B,51.9,218.0,0.847368421,1,AZD_200nM,0.6626071367484706 -749,AGACAGCTGACCTGTTGGCTGAAAAGGCCC,NF2,64.87,386.0,0.058295964000000006,0,PLX_2uM,0.3900224092546803 -750,CACCAGCTGCAATCTGGGAGGAGCTGGAGA,CD5,31.58,156.0,0.48117154799999995,0,nodrug,0.3934952994019594 -751,GCCGAGCTGCTCACCACGACGCCAGGGCTG,HPRT1,3.21,7.0,0.921875,1,6TG_2ug/mL,0.5960217841386422 -752,GAGAAGCTGGATTCTGACCAGCACAGGGAG,TADA1,71.64,240.0,0.293577982,0,AZD_200nM,0.43276609468267196 -753,ACTAAGCTGGCTCTGCAGTGCAGGAGGGTA,NF1,97.39,2765.0,0.07472826099999999,0,PLX_2uM,0.17195443217997589 -754,CAGCAGCTGGGCTACATGCCGCTGCGGGAT,TADA2B,40.24,169.0,0.40526315799999996,0,AZD_200nM,0.5703074910604163 -755,TTTCAGCTGTTGTCTATGCTGTGGAGGTTG,TADA1,53.43,179.0,0.963302752,1,AZD_200nM,0.6861862419877333 -756,GTTCAGCTTCTGAATGATGTAATCAGGACA,CD45,54.69,618.0,0.238267148,0,nodrug,0.42934474521021193 -757,ACAAAGCTTCTGTGACTGTTTCCAAGGATG,NF1,77.6,2203.0,0.5896739129999999,0,PLX_2uM,0.4868057024028353 -758,TTAGAGCTTGTTGTCACAGTGGTGGGGGGT,CD43,40.51,160.0,0.289855072,0,nodrug,0.48857020535554957 -759,CAGAAGCTTTGTTGGAGATCATGGAGGTAT,NF1,77.95,2213.0,0.610054348,0,PLX_2uM,0.6103459536009576 -760,ACCCAGGAAATACATTGCTGCACAAGGTAA,CD45,48.76,551.0,0.59566787,0,nodrug,0.625428999973995 -761,CAGGAGGAACAGAAGAACTTCCAGAGGAGG,MED12,57.42,1250.0,0.7142857140000001,0,AZD_200nM,0.7207611080677261 -762,CAGGAGGAACAGAAGAACTTCCAGAGGAGG,MED12,57.42,1250.0,0.625541126,0,PLX_2uM,0.7207611080677261 -763,CCAGAGGAAGTATTTATGGCAATCCGGAAT,NF1,83.23,2363.0,0.425271739,0,PLX_2uM,0.41573414600863307 -764,ATCTAGGAAGTCTGTGCTCAGTACTGGGGC,CD45,79.73,901.0,0.465703971,0,nodrug,0.3485593849997684 -765,CGGAAGGACACCAAGATGCGGATCCGGGCC,CUL3,2.34,18.0,0.253246753,0,PLX_2uM,0.3423492588890411 -766,GCCAAGGACAGGCCCCTGGGCCTGGGGAAC,CD5,39.68,196.0,0.10878661099999999,0,nodrug,0.5575637876289471 -767,GAGGAGGACAGGGGGTCGAACAGCAGGGAG,CD13,38.06,368.0,0.181318681,0,nodrug,0.35782139262452545 -768,AAACAGGACCGAGTAGTCATCCTGGGGCTG,CCDC101,88.05,258.0,0.919463087,1,AZD_200nM,0.6582314458573523 -769,CCGTAGGACGCGCGGTCGGTGAGCAGGCGG,CD15,42.08,223.0,0.534798535,0,nodrug,0.469079483144103 -770,GAACAGGACTCTGAGCCAGGGGCCCGGCTT,MED12,53.7,1169.0,0.606060606,0,AZD_200nM,0.525035732800456 -771,GAACAGGACTCTGAGCCAGGGGCCCGGCTT,MED12,53.7,1169.0,0.430735931,0,PLX_2uM,0.525035732800456 -772,CTTTAGGACTTTGTCCAGGTAGCTAGGAAG,TADA2B,94.29,396.0,0.015789473999999998,0,AZD_200nM,0.32212299076081635 -773,ATCAAGGAGAACTCCCTATAGCGATGGCTC,NF1,43.11,1224.0,0.528532609,0,PLX_2uM,0.6662115867470277 -774,TCGAAGGAGACCATCAGCCCCTGGGGGCAG,CD43,16.46,65.0,0.666666667,0,nodrug,0.7108760306262775 -775,GAGCAGGAGAGCGACGCTGATGGCTGGGTT,THY1,3.09,5.0,0.048387097000000004,0,nodrug,0.4131095302960259 -776,CGGTAGGAGAGCGTCCAGTTGAAGAGGTTA,CD15,59.25,314.0,0.919413919,1,nodrug,0.6849791600145527 -777,AAGAAGGAGATGGTGTGGAATTGATGGAAG,NF1,38.57,1095.0,0.5353260870000001,0,PLX_2uM,0.4527933254728977 -778,GGTAAGGAGATGTGGGAGTCAGGAGGGATT,NF1,97.08,2756.0,0.035326087,0,PLX_2uM,0.2206900072633734 -779,AGCCAGGAGCACAGAAGCCTCAGGAGGGCA,NF2,22.86,136.0,0.399103139,0,PLX_2uM,0.5787539442205584 -780,TTTGAGGAGCAGGTGAGGGTCTTCAGGAAC,CD45,57.79,653.0,0.028880866,0,nodrug,0.3181331511011454 -781,GTGCAGGAGCCCAATTTCGGGCACCGGCTG,CD15,74.72,396.0,0.11355311400000001,0,nodrug,0.45282520074589533 -782,GAGAAGGAGCTGCGCCTGAAGCTGAGGCCG,TADA2B,61.67,259.0,0.39473684200000003,0,AZD_200nM,0.5838660500614352 -783,TCTGAGGAGGAACTGATGATGGCATGGAAG,NF1,47.52,1349.0,0.9972826090000001,1,PLX_2uM,0.6587130320792101 -784,CTGCAGGAGGACATCCTGGAAAATGGGAGC,MED12,26.0,566.0,0.245670996,0,AZD_200nM,0.513342190804169 -785,CTGCAGGAGGACATCCTGGAAAATGGGAGC,MED12,26.0,566.0,0.267316017,0,PLX_2uM,0.513342190804169 -786,TGTTAGGAGTTACTCACCCATGAAAGGGTC,MED12,8.45,184.0,0.9090909090000001,1,AZD_200nM,0.592017582877745 -787,TGTTAGGAGTTACTCACCCATGAAAGGGTC,MED12,8.45,184.0,0.95995671,1,PLX_2uM,0.592017582877745 -788,GGGTAGGATCTACAAGAGTAGGATTGGTAG,MED12,91.04,1982.0,0.21103896100000002,0,AZD_200nM,0.33447926726242166 -789,GGGTAGGATCTACAAGAGTAGGATTGGTAG,MED12,91.04,1982.0,0.15584415599999998,0,PLX_2uM,0.33447926726242166 -790,AATGAGGATGGGGAAAACCCCCAGCGGCAG,MED12,61.55,1340.0,0.872294372,1,AZD_200nM,0.7715263144260204 -791,AATGAGGATGGGGAAAACCCCCAGCGGCAG,MED12,61.55,1340.0,0.8008658009999999,1,PLX_2uM,0.7715263144260204 -792,ATCCAGGATGTGTTCTGAACCAGCAGGCTT,THY1,84.57,137.0,0.7580645159999999,0,nodrug,0.5824832404685815 -793,TGGCAGGATTGAAGCTGACGTTCTTGGCAC,MED12,2.8,61.0,0.448051948,0,AZD_200nM,0.3720158775003454 -794,TGGCAGGATTGAAGCTGACGTTCTTGGCAC,MED12,2.8,61.0,0.390692641,0,PLX_2uM,0.3720158775003454 -795,ATTCAGGCAACATCTACAGGCAACTGGTGT,CUL3,64.19,493.0,0.47402597399999996,0,PLX_2uM,0.5529725825559471 -796,GTCCAGGCACTACTCACATTGTTAGGGGTC,MED12,63.02,1372.0,0.31168831199999997,0,AZD_200nM,0.5053259689536033 -797,GTCCAGGCACTACTCACATTGTTAGGGGTC,MED12,63.02,1372.0,0.41666666700000005,0,PLX_2uM,0.5053259689536033 -798,ACCAAGGCACTAGGACAGCACAGGAGGATG,MED12,17.04,371.0,0.895021645,1,AZD_200nM,0.693778461950588 -799,ACCAAGGCACTAGGACAGCACAGGAGGATG,MED12,17.04,371.0,0.8863636359999999,1,PLX_2uM,0.693778461950588 -800,CTGAAGGCAGCAGCAGCAGCAAGCTGGAAG,MED12,30.13,656.0,0.612554113,0,AZD_200nM,0.5712007492414639 -801,CTGAAGGCAGCAGCAGCAGCAAGCTGGAAG,MED12,30.13,656.0,0.867965368,1,PLX_2uM,0.5712007492414639 -802,TTCCAGGCAGGTACGTGTCAATCAAGGCAT,NF1,96.48,2739.0,0.14266304300000002,0,PLX_2uM,0.2757650124367019 -803,TGAGAGGCAGTAGGCTCAGGTACAGGGGTG,CD43,24.56,97.0,0.36956521700000006,0,nodrug,0.5603146290872834 -804,CAAGAGGCAGTCAGCCTGCAGATGTGGATC,NF1,13.1,372.0,0.362771739,0,PLX_2uM,0.5387304965367965 -805,ATCCAGGCCAAGACCCAAACCCAGCGGGCC,CD5,75.1,371.0,0.970711297,1,nodrug,0.6300807581827935 -806,TACGAGGCCAGGGAGGAGGCACTTGGGAAG,CD15,87.55,464.0,0.6117216120000001,0,nodrug,0.46874708851054003 -807,TTCTAGGCCATCCCTGTCATCAATCGGGCA,CD13,67.94,657.0,0.038461537999999997,0,nodrug,0.4320247746104852 -808,CCACAGGCCCAAAATCCTCATCCCTGGCAC,CD33,40.93,149.0,0.696969697,0,nodrug,0.6085752521637059 -809,GGCCAGGCCTGAGGGCGGGTCGCCGGGGTG,CD15,64.34,341.0,0.029304029,0,nodrug,0.17412277894379416 -810,ACGAAGGCCTGAGGTGCACAGGTGTGGTGG,CD5,34.82,172.0,0.60251046,0,nodrug,0.6303982751956246 -811,ATGCAGGCCTTCCCCAGGTTCCCGTGGATG,TADA2B,27.86,117.0,0.594736842,0,AZD_200nM,0.6297622696203036 -812,ATCGAGGCCTTGAAACTGAAAGAGAGGGAG,NF2,92.94,553.0,0.085201794,0,PLX_2uM,0.4126253601468619 -813,TAAGAGGCGAATGTCCCATGTGAGTGGAGG,NF1,28.88,820.0,0.264945652,0,PLX_2uM,0.6532396269676592 -814,TAATAGGCGCGGGGCCGGGGCCTCAGGTGT,MED12,79.51,1731.0,0.005411255,0,AZD_200nM,0.20073402182656275 -815,TAATAGGCGCGGGGCCGGGGCCTCAGGTGT,MED12,79.51,1731.0,0.016233766,0,PLX_2uM,0.20073402182656275 -816,GAGCAGGCGGCTCCTCATCTTCTGGGGGCA,MED12,80.25,1747.0,0.225108225,0,AZD_200nM,0.46315286491149654 -817,GAGCAGGCGGCTCCTCATCTTCTGGGGGCA,MED12,80.25,1747.0,0.231601732,0,PLX_2uM,0.46315286491149654 -818,TCCGAGGCGGGTGTGGACAGCGGGTGGGAG,CD13,46.95,454.0,0.41758241799999996,0,nodrug,0.5080526962568858 -819,TCGTAGGCGTACTGCTGGTACCCGCGGAGG,H2-K,36.04,133.0,0.822485207,1,nodrug,0.6499636948898155 -820,GGGGAGGCTGACCCTGTGGTAGGGTGGGTG,CD33,82.69,301.0,0.064935065,0,nodrug,0.3580407678372211 -821,CTGGAGGCTGCTTTACCCGCTGTGGGGGCG,CCDC101,86.69,254.0,0.926174497,1,AZD_200nM,0.5663675820425244 -822,GGTAAGGCTGGCTGGAGTAGCTGGGGGGCA,MED12,90.35,1967.0,0.222943723,0,AZD_200nM,0.2845325519759335 -823,GGTAAGGCTGGCTGGAGTAGCTGGGGGGCA,MED12,90.35,1967.0,0.19913419899999998,0,PLX_2uM,0.2845325519759335 -824,GCACAGGCTTGGTCTTGCTGCTGCTGGGCA,MED12,64.77,1410.0,0.047619048,0,AZD_200nM,0.24772174609197398 -825,GCACAGGCTTGGTCTTGCTGCTGCTGGGCA,MED12,64.77,1410.0,0.07034632,0,PLX_2uM,0.24772174609197398 -826,ATGAAGGGAAAGGACCAAGGGCCAAGGGGT,CD5,18.22,90.0,0.242677824,0,nodrug,0.5074294231716109 -827,TCACAGGGAAGAATGTCAACATAACGGTTT,CD45,45.04,509.0,0.40433213,0,nodrug,0.6088850103682549 -828,GGAAAGGGAAGGACCTCTTTGATTTGGTGT,NF2,8.07,48.0,0.174887892,0,PLX_2uM,0.4004999376949552 -829,GCACAGGGAGCAGTAAAAGCTGGAGGGCTG,TADA1,69.55,233.0,0.660550459,0,AZD_200nM,0.6513411228773306 -830,GCTCAGGGAGCAGTTGTTCCTACTGGGATC,CD33,26.92,98.0,0.329004329,0,nodrug,0.5374603705468542 -831,ACTCAGGGCAGATTCCGCCTCCTTGGGGAT,CD33,25.55,93.0,0.33982684,0,nodrug,0.361211257976748 -832,TGAAAGGGCAGGATGAACAACGCGAGGGAC,MED12,68.72,1496.0,0.616883117,0,AZD_200nM,0.6276142841765717 -833,TGAAAGGGCAGGATGAACAACGCGAGGGAC,MED12,68.72,1496.0,0.62987013,0,PLX_2uM,0.6276142841765717 -834,CGCCAGGGCTGCGGGTCGCCATAACGGAGC,HPRT1,0.46,1.0,0.65625,0,6TG_2ug/mL,0.5579480459607934 -835,GGGGAGGGGAATAGCCATCTGCATAGGAGG,CCDC101,92.15,270.0,0.751677852,0,AZD_200nM,0.47351401535172716 -836,TTGGAGGGGATTCCTTGCCGCTTCTGGAGG,TADA2B,91.19,383.0,0.110526316,0,AZD_200nM,0.1415343051455079 -837,CAGCAGGGGCAGCAGTAGCAGCAGCGGCAT,CD33,1.1,4.0,0.322510823,0,nodrug,0.6141230232693938 -838,CAGGAGGGGCCCGAGTATTGGGAGCGGGAG,H2-K,22.22,82.0,0.881656805,1,nodrug,0.6310936648524353 -839,GGCTAGGGTAAGGACCTTGATATAGGGCTG,THY1,53.7,87.0,0.709677419,0,nodrug,0.5309982607149175 -840,GCCCAGGGTGCAGTACTCACCGCCAGGCCC,CD13,51.81,501.0,0.596703297,0,nodrug,0.5677884989775293 -841,GCACAGGGTGGTCCTGCGTGGTGTGGGAGG,CD13,14.58,141.0,0.6032967029999999,0,nodrug,0.49573604424398426 -842,TTGCAGGTAAGATGTTTGGTATTGTGGTGG,NF1,95.03,2698.0,0.41304347799999996,0,PLX_2uM,0.2975329074727773 -843,CTCCAGGTAATAGGCGCGGGGCCGGGGCCT,MED12,79.65,1734.0,0.04437229400000001,0,AZD_200nM,0.30061385887850145 -844,CTCCAGGTAATAGGCGCGGGGCCGGGGCCT,MED12,79.65,1734.0,0.11038961,0,PLX_2uM,0.30061385887850145 -845,GCTCAGGTACAGGGGTGCTCATGCTGGCAC,CD43,23.54,93.0,0.41304347799999996,0,nodrug,0.5547144628933474 -846,TGCAAGGTATCCTTCAGAACCTTTGGGAGA,NF1,88.02,2499.0,0.19565217399999998,0,PLX_2uM,0.39088241317812206 -847,AAGCAGGTCACTAAAGGGAGTCGAGGGTGT,MED12,15.8,344.0,0.41774891799999997,0,AZD_200nM,0.7166857486470837 -848,AAGCAGGTCACTAAAGGGAGTCGAGGGTGT,MED12,15.8,344.0,0.66017316,0,PLX_2uM,0.7166857486470837 -849,TGCCAGGTCAGGGTGATGTCAGCAGGGTAG,H2-K,62.87,232.0,0.366863905,0,nodrug,0.7038988769323454 -850,GGTAAGGTCCACTACAATTTCATATGGCTT,NF1,57.77,1640.0,0.649456522,0,PLX_2uM,0.4794647792768601 -851,CTGCAGGTCCGTCTGTCACAGGATTGGCTG,CD43,33.16,131.0,0.789855072,0,nodrug,0.5271289899012501 -852,GTGTAGGTGAAGGTGTGAGCTGCAGGGTTC,MED12,47.31,1030.0,0.7662337659999999,0,AZD_200nM,0.6825814211311306 -853,GTGTAGGTGAAGGTGTGAGCTGCAGGGTTC,MED12,47.31,1030.0,0.757575758,0,PLX_2uM,0.6825814211311306 -854,ACTGAGGTGGGCAGTTTAGCAATGAGGGGG,MED12,65.78,1432.0,0.86038961,1,AZD_200nM,0.6566815574280458 -855,ACTGAGGTGGGCAGTTTAGCAATGAGGGGG,MED12,65.78,1432.0,0.722943723,0,PLX_2uM,0.6566815574280458 -856,ACAAAGGTGTTTCAATTCAATACCTGGAAA,NF1,68.3,1939.0,0.563858696,0,PLX_2uM,0.501377414145063 -857,CCCAAGGTTCAGAGCCGCCTGGTCGGGGGC,CD5,56.48,279.0,0.368200837,0,nodrug,0.3137631617650043 -858,AATGAGGTTGAAGCTTGGTATGTCAGGAGG,NF2,83.19,495.0,0.390134529,0,PLX_2uM,0.4378272844632475 -859,GGTCAGGTTGGTGCCGTGGTCCTGGGGCCG,CD33,56.32,205.0,0.69047619,0,nodrug,0.5837156814576901 -860,AGAAAGTAACAACGTGGAAGAGGTAGGGAA,NF1,74.08,2103.0,0.892663043,1,PLX_2uM,0.5764320316679415 -861,TTTCAGTAAGAAGGAAGAGGTGTTTGGGTA,MED12,6.52,142.0,0.617965368,0,AZD_200nM,0.4195007170802417 -862,TTTCAGTAAGAAGGAAGAGGTGTTTGGGTA,MED12,6.52,142.0,0.6114718610000001,0,PLX_2uM,0.4195007170802417 -863,AGGGAGTACACCAAGTATCATGAGCGGCTG,NF1,59.67,1694.0,0.736413043,0,PLX_2uM,0.7588218513410385 -864,AGGCAGTACAGCAGAATTAATTACAGGGCT,NF1,18.53,526.0,0.429347826,0,PLX_2uM,0.4454682410759096 -865,TTGTAGTAGCCGAGCAGGGTCCTCAGGTCC,H2-K,27.1,100.0,0.378698225,0,nodrug,0.5247937397448914 -866,TGGAAGTAGCGGCGATAGACCGCGGGGTTG,CD15,90.57,480.0,0.7435897440000001,0,nodrug,0.6140251824409116 -867,CAAGAGTAGGATTGGTAGAAGGGTGGGTGC,MED12,90.86,1978.0,0.207792208,0,AZD_200nM,0.3567085482759957 -868,CAAGAGTAGGATTGGTAGAAGGGTGGGTGC,MED12,90.86,1978.0,0.177489177,0,PLX_2uM,0.3567085482759957 -869,CAGAAGTAGGCAAGCCGGCGGGACAGGTAT,MED12,13.5,294.0,0.66991342,0,AZD_200nM,0.48491248548092597 -870,CAGAAGTAGGCAAGCCGGCGGGACAGGTAT,MED12,13.5,294.0,0.673160173,0,PLX_2uM,0.48491248548092597 -871,AGTGAGTAGTCCTGGGGCCCAGGGAGGTGG,CD33,51.37,187.0,0.45021645,0,nodrug,0.6306266223328888 -872,CCAAAGTATGAAGTACCCGTCCAATGGTGA,MED12,20.85,454.0,0.962121212,1,AZD_200nM,0.6870265720778596 -873,CCAAAGTATGAAGTACCCGTCCAATGGTGA,MED12,20.85,454.0,0.9686147190000001,1,PLX_2uM,0.6870265720778596 -874,CTGAAGTCAGAGCGTTCAAAACTATGGCTG,MED12,21.45,467.0,0.675324675,0,AZD_200nM,0.4776971216352388 -875,CTGAAGTCAGAGCGTTCAAAACTATGGCTG,MED12,21.45,467.0,0.626623377,0,PLX_2uM,0.4776971216352388 -876,TGGGAGTCAGGAGGGATTCTTCACTGGTTT,NF1,96.94,2752.0,0.08831521699999999,0,PLX_2uM,0.08517726811466177 -877,CCAAAGTCAGTACTGAGCACAACAAGGAAT,NF1,1.37,39.0,0.8423913040000001,1,PLX_2uM,0.7141832144407542 -878,CAGAAGTCATCAACTGTCTCATCCCGGGGC,CD45,49.2,556.0,0.501805054,0,nodrug,0.5778178243744366 -879,ACTCAGTCATCTCCTAAGCTGTTTTGGGCA,CD28,69.27,151.0,0.121621622,0,nodrug,0.19266166465126772 -880,CCTCAGTCCAGGGACATGTGTTAAAGGCTG,MED12,66.33,1444.0,0.17099567100000002,0,AZD_200nM,0.316131491774446 -881,CCTCAGTCCAGGGACATGTGTTAAAGGCTG,MED12,66.33,1444.0,0.11904761900000001,0,PLX_2uM,0.316131491774446 -882,AGGGAGTCCATGCATCTCACTCGAGGGCCC,CD43,50.13,198.0,0.5,0,nodrug,0.6564518595428418 -883,GAACAGTCCGAGTGGACCGGCGAGTGGCTC,MED12,78.69,1713.0,0.304112554,0,AZD_200nM,0.5410191473259695 -884,GAACAGTCCGAGTGGACCGGCGAGTGGCTC,MED12,78.69,1713.0,0.28571428600000004,0,PLX_2uM,0.5410191473259695 -885,GGGGAGTCCGGGAAGCACCAACGTGGGCAG,TADA2B,23.1,97.0,0.836842105,1,AZD_200nM,0.6888348364465157 -886,GAGTAGTCCTGGGGCCCAGGGAGGTGGGGG,CD33,51.1,186.0,0.03030303,0,nodrug,0.2368818315447904 -887,TTCGAGTCGCCCTCGCACTCCCCGGGGCTG,CD15,57.36,304.0,0.827838828,1,nodrug,0.6857128665926424 -888,TGGAAGTCGGCTACGTGGACGACACGGAGT,H2-K,13.82,51.0,0.733727811,0,nodrug,0.6879206657142035 -889,GGCCAGTCGGGGGGCCCCTTCACGAGGTCG,CD15,45.85,243.0,0.5787545789999999,0,nodrug,0.5703576558130664 -890,GGACAGTCTACGAAAAGCTCTTGCTGGCCA,NF1,10.81,307.0,0.92798913,1,PLX_2uM,0.49698195479298607 -891,ATCAAGTCTCTGTTGGAAGAGAGGCGGATT,CCDC101,32.08,94.0,0.8053691279999999,1,AZD_200nM,0.6637780530801786 -892,TAAAAGTCTGATTACTAGATTCATAGGTGT,CD45,4.78,54.0,0.332129964,0,nodrug,0.45369995235496513 -893,GTTCAGTCTGCATACCTGTCCCGCCGGCTT,MED12,13.55,295.0,0.991341991,1,AZD_200nM,0.6729889294407227 -894,GTTCAGTCTGCATACCTGTCCCGCCGGCTT,MED12,13.55,295.0,0.953463203,1,PLX_2uM,0.6729889294407227 -895,TAATAGTCTTCACAGTCACGTAGCGGGCTG,TADA2B,87.86,369.0,0.8105263159999999,1,AZD_200nM,0.5584668209797633 -896,TCATAGTCTTTCCTTCATAAGTGACGGCAA,NF1,52.84,1500.0,0.22010869600000002,0,PLX_2uM,0.628560244573473 -897,TTGTAGTGAACAGGACTCTGAGCCAGGGGC,MED12,53.56,1166.0,0.20887445899999998,0,AZD_200nM,0.4924725576772733 -898,TTGTAGTGAACAGGACTCTGAGCCAGGGGC,MED12,53.56,1166.0,0.21969697,0,PLX_2uM,0.4924725576772733 -899,CTGTAGTGAGACACAGCTCCCGTTCGGGGC,CD5,48.99,242.0,0.89958159,1,nodrug,0.5289132886118578 -900,GAGGAGTGAGTAGTCCTGGGGCCCAGGGAG,CD33,51.65,188.0,0.21645021600000003,0,nodrug,0.4604504908799441 -901,TGAGAGTGCAAGTATACATGTTGTGGGAGA,MED12,28.11,612.0,0.853896104,1,AZD_200nM,0.6702469948002658 -902,TGAGAGTGCAAGTATACATGTTGTGGGAGA,MED12,28.11,612.0,0.7662337659999999,0,PLX_2uM,0.6702469948002658 -903,TTGCAGTGCCACTCCAGAGGATTCCGGATT,NF1,83.3,2365.0,0.9959239129999999,1,PLX_2uM,0.5164418935140241 -904,ACAGAGTGCCACTTAAGCATGAACTGGAGA,CD45,72.21,816.0,0.418772563,0,nodrug,0.4274102215907772 -905,CTAGAGTGCCAGGGATGAGGATTTTGGGCC,CD33,40.38,147.0,0.028138528,0,nodrug,0.1692940542389569 -906,GCCCAGTGCCATTGCGGCGGGCCACGGCGA,CD13,32.26,312.0,0.020879121,0,nodrug,0.37291250806381193 -907,AATGAGTGCCCAGGGCGTCCAGGCAGGCGT,MED12,93.66,2039.0,0.107142857,0,AZD_200nM,0.1796384656580562 -908,AATGAGTGCCCAGGGCGTCCAGGCAGGCGT,MED12,93.66,2039.0,0.08008658,0,PLX_2uM,0.1796384656580562 -909,CTGAAGTGCGCCAGAGATCACAGTGGGAGG,CD5,59.92,296.0,0.640167364,0,nodrug,0.6617259904277054 -910,CCTTAGTGCTGGTGTTGGGCGTACAGGTAC,CD45,60.62,685.0,0.888086643,1,nodrug,0.5258813804040163 -911,GACCAGTGGACAGAACTAGCTCAAAGGTAT,NF1,78.69,2234.0,0.875,1,PLX_2uM,0.6002393270915811 -912,GGACAGTGGCGGGGCCAGGCCTGAGGGCGG,CD15,65.09,345.0,0.512820513,0,nodrug,0.5192965206846993 -913,TGACAGTGGCTCTTTGTGTTATCTGGGTAA,CD28,80.28,175.0,0.324324324,0,nodrug,0.451989500995824 -914,TCCTAGTGGCTGGCACTCACCTGCAGGTAG,MED12,85.03,1851.0,0.314935065,0,AZD_200nM,0.455000456339087 -915,TCCTAGTGGCTGGCACTCACCTGCAGGTAG,MED12,85.03,1851.0,0.24242424199999998,0,PLX_2uM,0.455000456339087 -916,CTCGAGTGGGAAGCATCATTGTGTGGGAAC,TADA1,42.39,142.0,0.541284404,0,AZD_200nM,0.6330170212721231 -917,AGACAGTGGTCTCATGCACTCCATAGGTGA,NF1,41.0,1164.0,0.42255434799999997,0,PLX_2uM,0.6089174850780051 -918,TGTGAGTGTATGAGTTCCTATTTGAGGGAG,CUL3,41.8,321.0,0.7792207790000001,0,PLX_2uM,0.5832454915244883 -919,GAGCAGTGTCCCAGGGACATCTTTTGGCCG,NF1,65.13,1849.0,0.55298913,0,PLX_2uM,0.46480306615731115 -920,CGGCAGTGTGCGCCTGGATGCCCCAGGGCG,CD15,47.92,254.0,0.527472527,0,nodrug,0.4645288321544569 -921,AAGAAGTGTTGCCATCTTATCAAAAGGTCG,NF1,54.14,1537.0,0.45923913,0,PLX_2uM,0.509084957249647 -922,CATCAGTTAGATAGCATTGATTTGTGGAAT,NF1,19.73,560.0,0.788043478,0,PLX_2uM,0.5371471724857826 -923,TAGCAGTTATAAATAGCCTGGAAAAGGTAA,NF1,7.64,217.0,0.775815217,0,PLX_2uM,0.5292417443997036 -924,CAGAAGTTATCCTTCTGGTTCACTTGGGGC,MED12,4.41,96.0,0.29220779199999997,0,AZD_200nM,0.45874463420974004 -925,CAGAAGTTATCCTTCTGGTTCACTTGGGGC,MED12,4.41,96.0,0.313852814,0,PLX_2uM,0.45874463420974004 -926,AAGTAGTTCACACCGTACATCTCCAGGTCC,NF2,36.13,215.0,0.695067265,0,PLX_2uM,0.5531385334642388 -927,TGGAAGTTCAGCAGATGAAAGCCCAGGCCA,NF2,54.29,323.0,0.533632287,0,PLX_2uM,0.5964276943352097 -928,TCGAAGTTCATCCAAACCCAGCGCTGGCCC,CD15,54.91,291.0,0.703296703,0,nodrug,0.5809946425627637 -929,CCCCAGTTCATGGTTACTGGTTCCGGGAAG,CD33,16.76,61.0,0.374458874,0,nodrug,0.4289056033825061 -930,ACGGAGTTCCAGAGTGTGAGGAGATGGTCT,CD13,79.63,770.0,0.786813187,0,nodrug,0.5023909210929864 -931,CTGCAGTTCCGTCTGTCACAGGATTGGCTG,CD43,35.44,140.0,0.905797101,1,nodrug,0.5541999362116988 -932,TATGAGTTCCTATTTGAGGGAGCAAGGTAA,CUL3,42.06,323.0,0.707792208,0,PLX_2uM,0.6068998739383736 -933,CAAAAGTTCGGAGAGTGTAGGCTGAGGCTC,CD45,81.77,924.0,0.606498195,0,nodrug,0.5537392283666357 -934,TGACAGTTCTGCAGCCAGGGGCCGGGGACG,CD5,62.35,308.0,0.121338912,0,nodrug,0.47131775862711617 -935,GTCCAGTTGAAGAGGTTACTTGCCAGGCTT,CD15,58.49,310.0,0.24908424899999998,0,nodrug,0.49599625845943546 -936,CAGGAGTTGGAGGACACAGCACATTGGAAA,CD45,69.65,787.0,0.631768953,0,nodrug,0.6336778136709508 -937,TGCTAGTTGGGGGCTGAGGAGCAGGGGTGG,MED12,15.3,333.0,0.338744589,0,AZD_200nM,0.4636551078532865 -938,TGCTAGTTGGGGGCTGAGGAGCAGGGGTGG,MED12,15.3,333.0,0.41233766200000005,0,PLX_2uM,0.4636551078532865 -939,TTCCAGTTGGGGTCTTCTGGAAGTGGGGTG,CD13,26.68,258.0,0.42967033,0,nodrug,0.43370851278311723 -940,TCAAAGTTTGAGGAATTTATGACTAGGTAA,NF1,55.44,1574.0,0.913043478,1,PLX_2uM,0.6151010782343683 -941,GACAATAAAGAGGGTGTTGTTGGCAGGGAT,NF1,67.03,1903.0,0.5040760870000001,0,PLX_2uM,0.48640893068690133 -942,GCGCATAAAGCGCATTCTCCAGGTAGGCCA,MED12,61.97,1349.0,0.9707792209999999,1,AZD_200nM,0.7535811263865378 -943,GCGCATAAAGCGCATTCTCCAGGTAGGCCA,MED12,61.97,1349.0,0.9642857140000001,1,PLX_2uM,0.7535811263865378 -944,GAAGATAAAGTCACCCTGAGGTGCTGGGCC,H2-K,60.7,224.0,0.562130178,0,nodrug,0.39711106049905626 -945,ATCAATAAATAATGAGAGGTATTCAGGAGA,CUL3,50.39,387.0,0.07792207799999999,0,PLX_2uM,0.29764240902494354 -946,TGTTATAAATGTGCAGACAGATTTGGGGAG,CD45,18.58,210.0,0.205776173,0,nodrug,0.3184134319569101 -947,TTCAATAACCAGCCTGCTGTCTCTGGGGAT,MED12,2.39,52.0,0.40800865799999997,0,AZD_200nM,0.49017220093263886 -948,TTCAATAACCAGCCTGCTGTCTCTGGGGAT,MED12,2.39,52.0,0.46645021600000003,0,PLX_2uM,0.49017220093263886 -949,ATCTATAACTGTAACTCCTGGGTCAGGGAG,NF1,59.39,1686.0,0.517663043,0,PLX_2uM,0.4731254046646703 -950,CTAAATAACTTGTACATGCAACCAAGGTCT,CUL3,38.67,297.0,0.9285714290000001,1,PLX_2uM,0.6807799554777051 -951,CCACATAAGATGTTGTTCTAAAGTAGGAGT,NF1,72.88,2069.0,0.543478261,0,PLX_2uM,0.49061862419180013 -952,CAAGATAAGGAGAATGATTTGTAGTGGCCA,NF1,9.51,270.0,0.851902174,1,PLX_2uM,0.674587105846636 -953,AGGGATAATGGTTCATACTTCTTTCGGATG,CD33,32.42,118.0,0.329004329,0,nodrug,0.32656311509975156 -954,CCAAATACACAGTGCCTGTGATGCGGGCTG,MED12,7.07,154.0,0.908008658,1,AZD_200nM,0.5947270810916739 -955,CCAAATACACAGTGCCTGTGATGCGGGCTG,MED12,7.07,154.0,0.846320346,1,PLX_2uM,0.5947270810916739 -956,TGACATACCAAGCTTCAACCTCATTGGTGA,NF2,84.03,500.0,0.264573991,0,PLX_2uM,0.4872668015155427 -957,TTCAATACGTTTCTTAATAACAACTGGACT,CUL3,96.35,740.0,0.15584415599999998,0,PLX_2uM,0.07216301916555222 -958,TCTCATACTGGCTGTCCTTCACCAGGGAGC,CD13,17.68,171.0,0.9164835159999999,1,nodrug,0.7705754465964413 -959,GCTAATACTTCAATTTGTTTGGAGTGGAAA,CD45,11.95,135.0,0.454873646,0,nodrug,0.558304390311663 -960,AACTATAGATTTATATGTACCACCAGGTGA,CD45,9.82,111.0,0.960288809,1,nodrug,0.6785906687720702 -961,TCTTATAGCATAAAACATATCCATGGGGTT,CD45,21.95,248.0,0.981949458,1,nodrug,0.5933200617444353 -962,CGACATAGCTCTTCCCACCGTCCCCGGCCC,CD5,62.75,310.0,0.39748954,0,nodrug,0.5522240106047713 -963,CTGGATAGGGGTCCCTGTCAGGGGCGGTAC,CD28,100.0,218.0,0.72972973,0,nodrug,0.46816286828811277 -964,CTATATAGGTATGTTCGTGTGCTTGGGAAT,NF1,35.29,1002.0,0.377717391,0,PLX_2uM,0.450190732949486 -965,TTTGATAGGTCCGGACAAGGTCAATGGAAT,CD45,27.79,314.0,0.942238267,1,nodrug,0.5383865671685278 -966,GACTATAGTAGAAATGGAGAATTCTGGGCT,CUL3,36.59,281.0,0.22077922100000003,0,PLX_2uM,0.29832579740771914 -967,AATGATAGTGACTGCTTATGAGCATGGGCT,TADA1,48.06,161.0,0.871559633,1,AZD_200nM,0.6398812008399053 -968,TTGGATATAGACCACGGAGATCCTTGGCAG,CD5,21.86,108.0,0.9330543929999999,1,nodrug,0.6224446541307 -969,GTCTATATCTATAACTGTAACTCCTGGGTC,NF1,59.32,1684.0,0.702445652,0,PLX_2uM,0.5271195856144144 -970,GAGAATATTTGGCACGAACACCTGAGGATC,CUL3,98.7,758.0,0.727272727,0,PLX_2uM,0.4470930336403093 -971,TTTCATCAAAACCAGTGCAACAGGTGGCTT,NF1,71.15,2020.0,0.5584239129999999,0,PLX_2uM,0.60485809019152 -972,GATCATCAAAGGGAGAGGGAGGCCGGGGAC,MED12,29.08,633.0,0.203463203,0,AZD_200nM,0.4011479081633147 -973,GATCATCAAAGGGAGAGGGAGGCCGGGGAC,MED12,29.08,633.0,0.234848485,0,PLX_2uM,0.4011479081633147 -974,TGGGATCAATAAAAGCTGAGGTGATGGCAG,NF1,71.5,2030.0,0.33831521700000006,0,PLX_2uM,0.417049404245492 -975,CATTATCACCCACCTAGGCAGATCAGGCTC,CD5,26.52,131.0,0.577405858,0,nodrug,0.4871156047452608 -976,GGTCATCACGGTGGATACCAGCACGGGGAC,CD13,57.6,557.0,0.9241758240000001,1,nodrug,0.5216945772949447 -977,GTCGATCACGTTCTTTGCGTGAAGAGGAAC,MED12,67.11,1461.0,0.072510823,0,AZD_200nM,0.43665030037332564 -978,GTCGATCACGTTCTTTGCGTGAAGAGGAAC,MED12,67.11,1461.0,0.087662338,0,PLX_2uM,0.43665030037332564 -979,GAGAATCAGAAGCCGCAGATGAGAAGGGTT,MED12,25.22,549.0,0.519480519,0,AZD_200nM,0.49862429279466286 -980,GAGAATCAGAAGCCGCAGATGAGAAGGGTT,MED12,25.22,549.0,0.475108225,0,PLX_2uM,0.49862429279466286 -981,CTGTATCAGATGACTCCGGAAATGTGGGAG,NF2,30.76,183.0,0.762331839,0,PLX_2uM,0.551528189477732 -982,TTTAATCAGATGATTATAACCGTGTGGAAC,CD45,45.93,519.0,0.898916968,1,nodrug,0.6817481611017507 -983,TGCCATCAGCACCGCCTGCTCCAACGGAGT,CD13,78.8,762.0,0.542857143,0,nodrug,0.46552650438225524 -984,CCCCATCAGCTTCCTAACCTGCAGTGGACG,CD45,87.96,994.0,0.462093863,0,nodrug,0.5742792981989597 -985,TTTGATCAGGGCTTCAAGGAACCCAGGAAA,CD45,48.23,545.0,0.8592057759999999,1,nodrug,0.5996319239138669 -986,CTGAATCATAGACACCAGGTCTTTGGGTTC,CD45,85.13,962.0,0.133574007,0,nodrug,0.31037334161658786 -987,ATTCATCATGGTGACCCTTCCTATAGGTAA,NF1,87.53,2485.0,0.744565217,0,PLX_2uM,0.40935617595861884 -988,GTCAATCATTAGATCCACATCTGCAGGCTG,NF1,13.1,372.0,0.630434783,0,PLX_2uM,0.5508468388911147 -989,GTTCATCCAAACCCAGCGCTGGCCCGGGGG,CD15,54.72,290.0,0.065934066,0,nodrug,0.3477026842422722 -990,CCCAATCCAAAGATTCGGTTACAAAGGGAG,MED12,22.09,481.0,0.57034632,0,AZD_200nM,0.5760783327962096 -991,CCCAATCCAAAGATTCGGTTACAAAGGGAG,MED12,22.09,481.0,0.609307359,0,PLX_2uM,0.5760783327962096 -992,CTCCATCCACGATGCGGTTCTGGGAGGCAG,MED12,55.67,1212.0,0.848484848,1,AZD_200nM,0.6853803650002938 -993,CTCCATCCACGATGCGGTTCTGGGAGGCAG,MED12,55.67,1212.0,0.7867965370000001,0,PLX_2uM,0.6853803650002938 -994,AGAAATCCAGCGTAAGAATAACAGTGGTCT,CUL3,6.38,49.0,0.5844155839999999,0,PLX_2uM,0.716180545257024 -995,CCAGATCCCACAGACTGATATGGCTGGTAA,NF1,8.52,242.0,0.8165760870000001,1,PLX_2uM,0.6136041951770818 -996,AAAAATCCCCGCTTGTGAACACTGGGGTCG,NF2,26.22,156.0,0.986547085,1,PLX_2uM,0.7921876193402057 -997,CGAAATCCCCGTCGCAGTTGAACTCGGCAT,CD28,38.99,85.0,0.37837837799999996,0,nodrug,0.5631504595282614 -998,CCTCATCCCTGGCACTCTAGAACCCGGCCA,CD33,42.31,154.0,0.9480519479999999,1,nodrug,0.6407031533657543 -999,TGCCATCCCTTCACTCCTTAATGCTGGTGA,MED12,53.15,1157.0,0.79978355,0,AZD_200nM,0.523377960444315 -1000,TGCCATCCCTTCACTCCTTAATGCTGGTGA,MED12,53.15,1157.0,0.787878788,0,PLX_2uM,0.523377960444315 -1001,CTTCATCCCTTCTGGGGAAGCCTTGGGAAG,CD45,86.46,977.0,0.010830325,0,nodrug,0.27142404216110805 -1002,TTCTATCCGACCTGAGCACAGGCTTGGTCT,MED12,65.0,1415.0,0.424242424,0,AZD_200nM,0.5613708919080488 -1003,TTCTATCCGACCTGAGCACAGGCTTGGTCT,MED12,65.0,1415.0,0.5519480520000001,0,PLX_2uM,0.5613708919080488 -1004,GACGATCCTCACGGTGAACGTCTTGGGTTG,NF2,3.53,21.0,0.860986547,1,PLX_2uM,0.4434347916717629 -1005,GGACATCCTGGAAAATGGGAGCACTGGGAG,MED12,25.86,563.0,0.25108225100000003,0,AZD_200nM,0.42200583163124045 -1006,GGACATCCTGGAAAATGGGAGCACTGGGAG,MED12,25.86,563.0,0.25432900399999997,0,PLX_2uM,0.42200583163124045 -1007,CGCAATCCTGTGTGCAGAGCTGACCGGCTA,MED12,49.66,1081.0,0.9188311690000001,1,AZD_200nM,0.6542040080217855 -1008,CGCAATCCTGTGTGCAGAGCTGACCGGCTA,MED12,49.66,1081.0,0.903679654,1,PLX_2uM,0.6542040080217855 -1009,GGGGATCCTTTGCCACAAATTGCTGGGCTC,TADA1,37.01,124.0,0.110091743,0,AZD_200nM,0.42845920671429133 -1010,TCCCATCGAATTGGCAAGGGCCTGGGGTCC,CD5,46.76,231.0,0.255230126,0,nodrug,0.5524880077514792 -1011,CCTCATCGACTTTGCCATTCAGGTGGGGAA,MED12,41.11,895.0,0.6309523810000001,0,AZD_200nM,0.600447442218644 -1012,CCTCATCGACTTTGCCATTCAGGTGGGGAA,MED12,41.11,895.0,0.6861471859999999,0,PLX_2uM,0.600447442218644 -1013,CATAATCGCCGTGGCCCGCCGCAATGGCAC,CD13,32.06,310.0,0.796703297,0,nodrug,0.5626298078666024 -1014,TGGCATCGCCTCCCCAGACCAGATTGGCCT,CD13,35.47,343.0,0.22747252699999998,0,nodrug,0.5155860941175865 -1015,AGCCATCGGAATCAAATATGCGCTGGGCAC,MED12,46.67,1016.0,0.471861472,0,AZD_200nM,0.6104932287838146 -1016,AGCCATCGGAATCAAATATGCGCTGGGCAC,MED12,46.67,1016.0,0.418831169,0,PLX_2uM,0.6104932287838146 -1017,ACCCATCTATTCAAGCAAAAATATGGGGAA,NF1,70.31,1996.0,0.17391304300000002,0,PLX_2uM,0.41689481891137853 -1018,GCTCATCTCCAGTTCATGCTTAAGTGGCAC,CD45,72.04,814.0,0.487364621,0,nodrug,0.4700505782535361 -1019,CCTAATCTCCCAAAATGTTTCTACAGGAGC,NF1,20.01,568.0,0.176630435,0,PLX_2uM,0.4906925481703558 -1020,CTCGATCTCGTAATCATCCCGCAGCGGCAT,TADA2B,40.48,170.0,0.7526315790000001,0,AZD_200nM,0.7121262092729059 -1021,AGCAATCTCTGGCATGTGTGACTGAGGGAC,NF1,18.88,536.0,0.925271739,1,PLX_2uM,0.6147420376306918 -1022,TATGATCTGCGCAAGAAAAGATCCAGGTAA,CD45,38.5,435.0,0.74368231,0,nodrug,0.5998088605274164 -1023,CCCCATCTGCTCACTTGAATTCTGAGGGGC,CD13,59.88,579.0,0.126373626,0,nodrug,0.47119213868095133 -1024,TACAATCTGGTGCCAGCCTTCCTGGGGAAG,TADA2B,55.48,233.0,0.673684211,0,AZD_200nM,0.6459051174284873 -1025,CCTCATCTGTAAGTCTCTGCAGTGTGGCTC,CD5,41.5,205.0,0.753138075,0,nodrug,0.685885506905953 -1026,AATGATCTGTGCCCGATTGATGACAGGGAT,CD13,67.84,656.0,0.416483516,0,nodrug,0.45134453675071207 -1027,CTTTATCTTCAGGTCTGCTGTGATGGGTCA,H2-K,57.72,213.0,0.609467456,0,nodrug,0.46464022134001454 -1028,CCCTATCTTGCTGCAGAAACTCAGAGGATT,NF1,90.95,2582.0,0.557065217,0,PLX_2uM,0.44655220670313417 -1029,TTGGATCTTGGCACAATGATAACAGGGTGT,NF1,94.01,2669.0,0.315217391,0,PLX_2uM,0.40246181562046324 -1030,GGATATGAATGATAGACTGGACAATGGCTT,NF1,64.14,1821.0,0.90625,1,PLX_2uM,0.6778636115435924 -1031,AGGAATGACACCCACCCTACCACAGGGTCA,CD33,83.24,303.0,0.255411255,0,nodrug,0.6600367461503142 -1032,CGTGATGACATCTCGGGTCTGCTTGGGCAG,MED12,75.52,1644.0,0.515151515,0,AZD_200nM,0.34698364137655047 -1033,CGTGATGACATCTCGGGTCTGCTTGGGCAG,MED12,75.52,1644.0,0.452380952,0,PLX_2uM,0.34698364137655047 -1034,GGCCATGACCCTGCCCCTGTGGATCGGGAA,CCDC101,45.39,133.0,0.55033557,0,AZD_200nM,0.4565275926200402 -1035,ACCCATGACGCCAGTCATGGTTGTGGGCAG,MED12,86.4,1881.0,0.46428571399999996,0,AZD_200nM,0.4805338587427236 -1036,ACCCATGACGCCAGTCATGGTTGTGGGCAG,MED12,86.4,1881.0,0.439393939,0,PLX_2uM,0.4805338587427236 -1037,ATTAATGACGCCTTCAACCTGGCCAGGTGA,CD13,69.18,669.0,0.062637363,0,nodrug,0.4960640621023452 -1038,TACCATGACTCCAATGAGTGCCCAGGGCGT,MED12,93.48,2035.0,0.177489177,0,AZD_200nM,0.373203724272459 -1039,TACCATGACTCCAATGAGTGCCCAGGGCGT,MED12,93.48,2035.0,0.116883117,0,PLX_2uM,0.373203724272459 -1040,TCAGATGACTCCCAGCTCTTCCTACGGTTT,MED12,88.88,1935.0,0.39177489200000004,0,AZD_200nM,0.4522696124242114 -1041,TCAGATGACTCCCAGCTCTTCCTACGGTTT,MED12,88.88,1935.0,0.34199134200000003,0,PLX_2uM,0.4522696124242114 -1042,GTTGATGACTTCTGGAGGATGATCTGGGAG,CD45,50.09,566.0,0.57400722,0,nodrug,0.39836601581672576 -1043,CGGGATGAGACAGTTGATGACTTCTGGAGG,CD45,49.73,562.0,0.270758123,0,nodrug,0.31790747236998923 -1044,ACAGATGAGGTTCCCCAGGCCCAGGGGCCT,CD5,39.47,195.0,0.853556485,1,nodrug,0.6347452748156547 -1045,CTTCATGATCCATGGACATTTGACTGGTAT,NF1,22.61,642.0,0.383152174,0,PLX_2uM,0.5434610898356038 -1046,AACCATGATCTATTTATGAGGAGAAGGAAA,NF2,52.1,310.0,0.7399103140000001,0,PLX_2uM,0.5652450165142353 -1047,CAGGATGATGCTTGCCACAGTGCCTGGGGC,CD5,76.52,378.0,0.12552301300000002,0,nodrug,0.2624487892334776 -1048,GATGATGATGTAAAATGTCTTACAAGGTAA,NF1,37.51,1065.0,0.455163043,0,PLX_2uM,0.6046985343390431 -1049,CCCCATGATGTAGAGGTGGCAATCCGGCAG,MED12,10.56,230.0,0.9004329,1,AZD_200nM,0.5824992204767009 -1050,CCCCATGATGTAGAGGTGGCAATCCGGCAG,MED12,10.56,230.0,0.848484848,1,PLX_2uM,0.5824992204767009 -1051,GTTCATGATGTCCCGCACGGTGGTGGGGAG,CD13,55.33,535.0,0.661538462,0,nodrug,0.4621635740853465 -1052,GGATATGATTGCAAGAGAGCGGAAAGGAGA,CUL3,22.53,173.0,0.448051948,0,PLX_2uM,0.7070802772102365 -1053,TACCATGCACCTCCGTACCTTCATGGGGCC,CD13,74.35,719.0,0.094505495,0,nodrug,0.4260515098965985 -1054,TAACATGCCACTTGATTCTTGGCTTGGTGA,CD43,61.77,244.0,0.231884058,0,nodrug,0.5420307684897898 -1055,CAGCATGCCCCAAAGAGGAGGAGAAGGTGC,CD43,1.52,6.0,0.630434783,0,nodrug,0.5996691559616082 -1056,TCGAATGCCGAGTTCAACTGCGACGGGGAT,CD28,40.37,88.0,0.067567568,0,nodrug,0.5010035278189452 -1057,GAAAATGCTCACATGAAGAAGATGAGGCAG,CD33,76.37,278.0,0.359307359,0,nodrug,0.5894505661121127 -1058,CCTGATGCTCCTGTAGAAACATTTTGGGAG,NF1,20.08,570.0,0.061141304,0,PLX_2uM,0.18791687319456551 -1059,ACCAATGCTCTCACCTTAAAGTGTTGGTTG,NF1,13.84,393.0,0.823369565,1,PLX_2uM,0.6296591421736918 -1060,GTGGATGCTGACAAAACCTCCCCCGGGTTC,CD5,68.22,337.0,0.694560669,0,nodrug,0.6929396151011782 -1061,GGACATGCTGAGCGTGCTCATCAATGGGAC,MED12,73.04,1590.0,0.233766234,0,AZD_200nM,0.4682540216150422 -1062,GGACATGCTGAGCGTGCTCATCAATGGGAC,MED12,73.04,1590.0,0.27056277100000004,0,PLX_2uM,0.4682540216150422 -1063,ACTCATGCTGGATGGAGTTATCCTTGGTGT,THY1,28.4,46.0,0.24193548399999998,0,nodrug,0.5548670245785357 -1064,GGGAATGCTGGGAAGTTGCAAGTGAGGTCA,NF1,98.1,2785.0,0.086956522,0,PLX_2uM,0.2017696874150029 -1065,CTGCATGCTGGTTTCCTTCACGACAGGTGT,NF1,4.4,125.0,0.436141304,0,PLX_2uM,0.5184045338435078 -1066,TGCCATGGACCGTCTGTGTGCTGGCGGCCG,CD15,29.43,156.0,0.49816849799999996,0,nodrug,0.6154117052073463 -1067,GGACATGGACTGACCTCCACTCAAAGGTAC,MED12,92.51,2014.0,0.575757576,0,AZD_200nM,0.4602676786968943 -1068,GGACATGGACTGACCTCCACTCAAAGGTAC,MED12,92.51,2014.0,0.535714286,0,PLX_2uM,0.4602676786968943 -1069,AGGGATGGCCCCACAGAGGGGTGGGGGCCT,CCDC101,48.81,143.0,0.09395973199999999,0,AZD_200nM,0.36915483914599645 -1070,CTTCATGGCCGGCTCATCGAAGCATGGGAA,CD13,23.16,224.0,0.68021978,0,nodrug,0.589795434492412 -1071,CTCCATGGCGCCGGCGTTGAAGTCTGGCAG,CD13,36.09,349.0,0.325274725,0,nodrug,0.4193577248186095 -1072,GAAGATGGCTGAATACTACCGGCCAGGGCC,MED12,9.46,206.0,0.518398268,0,AZD_200nM,0.5304641581906757 -1073,GAAGATGGCTGAATACTACCGGCCAGGGCC,MED12,9.46,206.0,0.668831169,0,PLX_2uM,0.5304641581906757 -1074,TGGCATGGCTGTAACTGACCACCTCGGCCA,CCDC101,61.43,180.0,0.9530201340000001,1,AZD_200nM,0.7101392237353621 -1075,GTCAATGGGAAGATTCAAAGAAATGGGACT,CD45,26.19,296.0,0.38267148,0,nodrug,0.5034451650236782 -1076,ACTTATGGGAGCAGTTACAGAAGATGGCTG,MED12,9.19,200.0,0.506493506,0,AZD_200nM,0.55031220038182 -1077,ACTTATGGGAGCAGTTACAGAAGATGGCTG,MED12,9.19,200.0,0.478354978,0,PLX_2uM,0.55031220038182 -1078,GGGTATGGGATGGAAGAAAGTGCAGGGCAC,CD33,11.54,42.0,0.9134199129999999,1,nodrug,0.7230442177233077 -1079,CATCATGGGGCAAGGGCCCTATCGTGGAAC,MED12,10.06,219.0,0.048701299,0,AZD_200nM,0.6370482513979419 -1080,CATCATGGGGCAAGGGCCCTATCGTGGAAC,MED12,10.06,219.0,0.060606060999999996,0,PLX_2uM,0.6370482513979419 -1081,TGTGATGGGTCACATGGGCCTTTGGGGAAT,H2-K,56.1,207.0,0.44970414200000003,0,nodrug,0.4557883661367575 -1082,TGTCATGGTCACACGATGTGAAGAAGGAAA,CD45,51.42,581.0,0.40794223799999996,0,nodrug,0.5619996169345053 -1083,CTAGATGGTGCTGGATCTTTGCCTTGGCCA,TADA1,25.07,84.0,0.321100917,0,AZD_200nM,0.521822776714473 -1084,GTCTATGGTTATGTTGTCAAGCTAAGGCGA,CD45,63.19,714.0,0.505415162,0,nodrug,0.5922612022636219 -1085,AGTCATGGTTGTGGGCAGCACTCCAGGGTA,MED12,86.22,1877.0,0.436147186,0,AZD_200nM,0.3690536725988104 -1086,AGTCATGGTTGTGGGCAGCACTCCAGGGTA,MED12,86.22,1877.0,0.37662337700000004,0,PLX_2uM,0.3690536725988104 -1087,GAGCATGTACATCCACGGGAACCTGGGGAA,TADA2B,28.1,118.0,0.505263158,0,AZD_200nM,0.5196671297941835 -1088,TGGTATGTCAGGAGGCAACGGTGCTGGAAT,NF2,82.35,490.0,0.32735426,0,PLX_2uM,0.4294600656802742 -1089,GTGGATGTCAGTTCACGTCAAAACTGGAAG,CUL3,61.07,469.0,0.272727273,0,PLX_2uM,0.4021551635049422 -1090,GCGAATGTCCCATGTGAGTGGAGGAGGATC,NF1,28.95,822.0,0.17934782600000002,0,PLX_2uM,0.5299583563374846 -1091,CTCTATGTGCTCAGCCAGTTTCCCAGGACA,NF1,60.37,1714.0,0.739130435,0,PLX_2uM,0.5800154621091032 -1092,CCTGATGTGCTGAAGAGATCGTTCTGGGCT,CD13,62.98,609.0,0.298901099,0,nodrug,0.41252076039451313 -1093,GTAAATGTGGGTGCTGTTGTGATGAGGAAA,NF1,91.12,2587.0,0.23777173899999998,0,PLX_2uM,0.42287349421416337 -1094,GCCAATGTGGTTCCTTGTTCTCAGTGGGTA,NF1,43.5,1235.0,0.773097826,0,PLX_2uM,0.5982877124721546 -1095,ATGAATGTGTTATAGTTGGGCAAGAGGTTA,NF1,25.78,732.0,0.487771739,0,PLX_2uM,0.6618760127436211 -1096,AGTAATGTTCCCAAACATGGCAGCTGGAAA,CD45,3.72,42.0,0.018050542,0,nodrug,0.5539688937864367 -1097,TGTGATGTTGACAGAGTTAGTGAATGGAGA,CD45,78.85,891.0,0.772563177,0,nodrug,0.5503531856026312 -1098,CGCCATGTTGGAGACAGTGGATGGAGGAGG,H2-K,81.3,300.0,0.455621302,0,nodrug,0.6109343623135401 -1099,CGAGATGTTTCGGATTTCATTCCACGGGAA,NF2,43.53,259.0,0.829596413,1,PLX_2uM,0.5692806237842667 -1100,CCTTATTAAGAAGTGGCTGTAATTTGGTTA,NF1,81.05,2301.0,0.150815217,0,PLX_2uM,0.2158134356922573 -1101,TGATATTAATGACCAGTCCATGTGTGGAAG,NF1,74.78,2123.0,0.952445652,1,PLX_2uM,0.5651721108848946 -1102,CCAAATTACAGCCACTTCTTAATAAGGTAA,NF1,81.23,2306.0,0.020380435,0,PLX_2uM,0.30671111574445004 -1103,ATACATTACTTACATCAATGTAGCTGGCAT,CD45,47.61,538.0,0.184115523,0,nodrug,0.559801241721859 -1104,GTGTATTAGCAAACGAGTGTCTCATGGGCA,NF1,79.61,2260.0,0.66576087,0,PLX_2uM,0.47833469540437423 -1105,CCACATTAGGCTTAGGTTACCACAAGGATC,NF1,41.21,1170.0,0.8396739129999999,1,PLX_2uM,0.7323507333882964 -1106,CGTTATTATAAACAACACTTGGCAAGGAGA,CUL3,56.9,437.0,0.350649351,0,PLX_2uM,0.5709612174624977 -1107,AATCATTATGCTGAGGATTTGGAAAGGGTG,HPRT1,15.14,33.0,0.859375,1,6TG_2ug/mL,0.6743210980680404 -1108,CTCTATTATTAAAGAGCATTAATATGGTCA,CUL3,78.39,602.0,0.545454545,0,PLX_2uM,0.33802304307058206 -1109,TGGTATTCAGCCTCCAGAGGGGAGGGGTCA,CD45,67.96,768.0,0.33574007200000006,0,nodrug,0.5484591554032793 -1110,AGGTATTCAGGAGACCTGGAGTTGAGGTTG,CUL3,49.61,381.0,0.564935065,0,PLX_2uM,0.5775533420994939 -1111,TTTCATTCCACGGGAAGGAGATCTTGGGGG,NF2,42.69,254.0,0.515695067,0,PLX_2uM,0.3537094941437964 -1112,TGAAATTCCAGACAAGTTTGTTGTAGGATA,HPRT1,86.24,188.0,0.171875,0,6TG_2ug/mL,0.43680749829838095 -1113,AGGAATTCCGGGCATCCCTGTACAAGGGCG,CD28,26.15,57.0,0.662162162,0,nodrug,0.5522416128816711 -1114,GCGGATTCCTACTGTAGGCTTGTCTGGGGA,MED12,54.85,1194.0,0.6114718610000001,0,AZD_200nM,0.32601369878980685 -1115,GCGGATTCCTACTGTAGGCTTGTCTGGGGA,MED12,54.85,1194.0,0.6341991339999999,0,PLX_2uM,0.32601369878980685 -1116,TGTCATTCCTGCCCACTGCTGTCCTGGCTG,CD33,80.22,292.0,0.11038961,0,nodrug,0.3301134972208946 -1117,GCCAATTCGATGGGAGGCCCCGAACGGGAG,CD5,48.58,240.0,0.912133891,1,nodrug,0.5795030126207154 -1118,CAAGATTCGGCCAAAAGATGTCCCTGGGAC,NF1,65.16,1850.0,0.8084239129999999,1,PLX_2uM,0.55765654217645 -1119,AGTAATTCTCTCCTCCCACATTTCCGGAGT,NF2,30.76,183.0,0.188340807,0,PLX_2uM,0.252336166250036 -1120,TTTTATTCTGATTGTGGGGCTTTCGGGCAT,CD45,44.25,500.0,0.046931408,0,nodrug,0.21745379036112306 -1121,CACTATTCTTCAGGTATGGCTGCGGGGTCA,TADA1,64.18,215.0,0.752293578,0,AZD_200nM,0.6753773462743157 -1122,CTTCATTGAACAGACCCCAGAACCAGGTCT,CD5,20.65,102.0,0.682008368,0,nodrug,0.6130329796483343 -1123,CAGGATTGAACTTACTGAGAAATCAGGCTT,MED12,31.42,684.0,0.17424242399999998,0,AZD_200nM,0.39555911931808985 -1124,CAGGATTGAACTTACTGAGAAATCAGGCTT,MED12,31.42,684.0,0.159090909,0,PLX_2uM,0.39555911931808985 -1125,CAGGATTGATAAATCTGAGGAACATGGCAC,NF1,49.67,1410.0,0.926630435,1,PLX_2uM,0.6717399763748461 -1126,ATTTATTGATGATAAGCTGAAAAAGGGAGT,CUL3,51.69,397.0,0.26623376600000004,0,PLX_2uM,0.48222561419785653 -1127,CCGGATTGCCACCTCTACATCATGGGGCAA,MED12,10.34,225.0,0.706709957,0,AZD_200nM,0.6957652259248008 -1128,CCGGATTGCCACCTCTACATCATGGGGCAA,MED12,10.34,225.0,0.63961039,0,PLX_2uM,0.6957652259248008 -1129,CCGGATTGCCATAAATACTTCCTCTGGACT,NF1,83.06,2358.0,0.577445652,0,PLX_2uM,0.46829717293439377 -1130,CAGGATTGCGATGTCATTCACCCTAGGGAA,MED12,49.2,1071.0,0.83008658,1,AZD_200nM,0.5962667821339702 -1131,CAGGATTGCGATGTCATTCACCCTAGGGAA,MED12,49.2,1071.0,0.880952381,1,PLX_2uM,0.5962667821339702 -1132,CTCCATTGCTTCCTGAGCAATCTCTGGCAT,NF1,19.06,541.0,0.850543478,1,PLX_2uM,0.4751159052053789 -1133,AAGAATTGGAGAAGGGTCAGCACCTGGGTT,MED12,66.88,1456.0,0.322510823,0,AZD_200nM,0.476390863088713 -1134,AAGAATTGGAGAAGGGTCAGCACCTGGGTT,MED12,66.88,1456.0,0.461038961,0,PLX_2uM,0.476390863088713 -1135,TCTTATTGGATCCACAGAATAAAAAGGGCA,NF2,38.15,227.0,0.228699552,0,PLX_2uM,0.3188919332680448 -1136,AGTCATTGTAGAGACCGGCAATCTTGGCCG,CCDC101,34.13,100.0,0.302013423,0,AZD_200nM,0.4692707534131521 -1137,TGCCATTGTCTCACCGTATGAAGCAGGGAT,NF1,50.12,1423.0,0.46331521700000006,0,PLX_2uM,0.5502116517538086 -1138,TGGTATTGTGGTGGGGATTCTTCATGGTAC,NF1,94.82,2692.0,0.247282609,0,PLX_2uM,0.2682561012088097 -1139,TAGAATTGTTACAGTATATCAATGTGGATT,NF1,6.48,184.0,0.82201087,1,PLX_2uM,0.6984606470790589 -1140,TGCCATTGTTAGAGGAGCAGCACAAGGCCT,MED12,50.53,1100.0,0.953463203,1,AZD_200nM,0.6908369861988491 -1141,TGCCATTGTTAGAGGAGCAGCACAAGGCCT,MED12,50.53,1100.0,0.946969697,1,PLX_2uM,0.6908369861988491 -1142,CGGCATTTACTCTACCAACTGCTCTGGAAC,NF1,44.28,1257.0,0.7173913040000001,0,PLX_2uM,0.5928429446501906 -1143,TATGATTTCAGTGATGTCTTCAGAGGGAAA,NF1,31.1,883.0,0.49320652200000004,0,PLX_2uM,0.6166870388368089 -1144,TTGAATTTCCTCACAGAAAGCGGCTGGATC,TADA2B,98.33,413.0,0.310526316,0,AZD_200nM,0.3039844436601564 -1145,CCCAATTTCGGGCACCGGCTGCCCCGGCCC,CD15,74.15,393.0,0.10989011,0,nodrug,0.40281230105646226 -1146,AGGTATTTCGTCACCGCCGTGTCCCGGCCC,H2-K,9.21,34.0,0.43195266299999996,0,nodrug,0.49721320448057704 -1147,TATTATTTCTGAAGTGAATGAAGAGGGGTG,CD13,75.49,730.0,0.321978022,0,nodrug,0.48769385234214846 -1148,TAAAATTTGATTTGTTGCAGGTTTTGGTTT,NF1,95.28,2705.0,0.414402174,0,PLX_2uM,0.09343888361633626 -1149,TTTGATTTGGTGTGCCGGACTCTGGGGCTC,NF2,9.08,54.0,0.883408072,1,PLX_2uM,0.6646030661870346 -1150,CAAGCAAAAATATGGGGAAGCCTTGGGCAG,NF1,70.45,2000.0,0.316576087,0,PLX_2uM,0.41369801891893154 -1151,ACGTCAAAACTGGAAGGAATGTTTAGGGAT,CUL3,61.72,474.0,0.13636363599999998,0,PLX_2uM,0.26685672655425363 -1152,TACCCAAAAGAGGGCTTTGTGCAGAGGCGA,NF1,81.44,2312.0,0.345108696,0,PLX_2uM,0.49923681532905495 -1153,CATACAAAAGGAAGATTGCTGATGAGGGCA,CD45,41.95,474.0,0.530685921,0,nodrug,0.533336022814408 -1154,CCACCAAACAGAAGATCTCGCCCTGGGATC,MED12,77.49,1687.0,0.847402597,1,AZD_200nM,0.6023779401543341 -1155,CCACCAAACAGAAGATCTCGCCCTGGGATC,MED12,77.49,1687.0,0.79004329,0,PLX_2uM,0.6023779401543341 -1156,TGCGCAAACAGGTGGCAGGAAACGTGGCAT,NF1,39.84,1131.0,0.23641304300000002,0,PLX_2uM,0.679096903877268 -1157,ACCCCAAACAGTACGACCAACCGCTGGTTG,MED12,34.59,753.0,0.942640693,1,AZD_200nM,0.6823224285750074 -1158,ACCCCAAACAGTACGACCAACCGCTGGTTG,MED12,34.59,753.0,0.926406926,1,PLX_2uM,0.6823224285750074 -1159,CATCCAAACCCAGCGCTGGCCCGGGGGCCT,CD15,54.53,289.0,0.9670329670000001,1,nodrug,0.6484942741945913 -1160,GGCACAAAGACGTCCGAGTCCGCCCGGTAG,CD15,60.75,322.0,0.89010989,1,nodrug,0.5829691996131041 -1161,GTGACAAAGACTTCTGTGTCCAGAAGGGCA,CD45,1.5,17.0,0.519855596,0,nodrug,0.5515987862787236 -1162,TCCTCAAAGAGAACACTGGAACTAGGGTCA,MED12,30.82,671.0,0.18614718600000002,0,AZD_200nM,0.5018587581209524 -1163,TCCTCAAAGAGAACACTGGAACTAGGGTCA,MED12,30.82,671.0,0.213203463,0,PLX_2uM,0.5018587581209524 -1164,TTAGCAAAGATATCTTCAGCAGTGGGGAAG,MED12,37.9,825.0,0.774891775,0,AZD_200nM,0.7022739254902254 -1165,TTAGCAAAGATATCTTCAGCAGTGGGGAAG,MED12,37.9,825.0,0.972943723,1,PLX_2uM,0.7022739254902254 -1166,AATCCAAAGATGGTCAAGGTCGCAAGGTAT,HPRT1,73.85,161.0,0.390625,0,6TG_2ug/mL,0.5743570778031855 -1167,GGCACAAAGCGCTCGTAGTTGGCACGGTCT,CD15,83.96,445.0,0.490842491,0,nodrug,0.5667942394953541 -1168,CAGACAAAGCTGTAGCGGTTAGCAGGGTTC,MED12,48.14,1048.0,0.674242424,0,AZD_200nM,0.6524785365686732 -1169,CAGACAAAGCTGTAGCGGTTAGCAGGGTTC,MED12,48.14,1048.0,0.685064935,0,PLX_2uM,0.6524785365686732 -1170,TGAGCAAAGGCACGGGCAGCCGGAAGGACA,CUL3,1.43,11.0,0.363636364,0,PLX_2uM,0.5885063317509068 -1171,AAGACAAAGTTCACCGCCAGCGCTTGGCAG,TADA1,97.01,325.0,0.091743119,0,AZD_200nM,0.22367641081690612 -1172,GTGTCAAATTCTGTGCCTTGTTGAAGGATT,NF1,41.85,1188.0,0.065217391,0,PLX_2uM,0.3877388290149582 -1173,AAGACAACAAGAGCTCTTGGTTGCAGGGAT,NF1,79.08,2245.0,0.20652173899999998,0,PLX_2uM,0.33338913216768035 -1174,GCCACAACAGCAGTAGCGCCACGAGGGCCA,CD43,67.09,265.0,0.601449275,0,nodrug,0.681092302495382 -1175,TGAACAACAGGAACTCGTTGAAAGGGGTGA,CD45,39.47,446.0,0.78700361,0,nodrug,0.6923905085729659 -1176,TCCTCAACCAGGACCAGATGGCACAGGTCT,MED12,43.41,945.0,0.7673160170000001,0,AZD_200nM,0.6711528670343254 -1177,TCCTCAACCAGGACCAGATGGCACAGGTCT,MED12,43.41,945.0,0.6536796539999999,0,PLX_2uM,0.6711528670343254 -1178,GCTTCAACCCCTCAAAAAGATCCCAGGGCG,MED12,77.58,1689.0,0.819264069,1,AZD_200nM,0.49929371023476943 -1179,GCTTCAACCCCTCAAAAAGATCCCAGGGCG,MED12,77.58,1689.0,0.7283549779999999,0,PLX_2uM,0.49929371023476943 -1180,GGCGCAACGCGTTGCTCGCTGGGGCGGTGC,CD15,81.89,434.0,0.516483516,0,nodrug,0.5221618972489893 -1181,ACTGCAACGCTATCGCCCAGGGCGGGGAGG,CD13,83.14,804.0,0.049450549,0,nodrug,0.4737162717747144 -1182,GCTCCAACGGAGTTCCAGAGTGTGAGGAGA,CD13,79.42,768.0,0.525274725,0,nodrug,0.5812728969345824 -1183,CCCACAACTAGGCTTAGGCGTTTCTGGAAC,CD45,19.12,216.0,0.119133574,0,nodrug,0.09773410798824143 -1184,CTGTCAACTATGATGACGACGACGTGGAGA,TADA2B,46.67,196.0,0.263157895,0,AZD_200nM,0.663469691310173 -1185,TCTTCAACTGGACGCTCTCCTACCGGGCGG,CD15,60.38,320.0,0.934065934,1,nodrug,0.549257945927717 -1186,TAGCCAACTTCACCACCAAGGATGAGGGCG,THY1,61.11,99.0,0.774193548,0,nodrug,0.5414528946879633 -1187,GCTGCAAGAAAAACGTTAGTCTCTTGGCCT,CD45,20.53,232.0,0.061371840999999996,0,nodrug,0.490600949602325 -1188,CAACCAAGAGCTCTTGTTGTCTTTGGGTGT,NF1,79.32,2252.0,0.11548913,0,PLX_2uM,0.2597961133566884 -1189,TCTCCAAGAGGGAGTTCATCTCCTGGGGAG,MED12,63.11,1374.0,0.587662338,0,AZD_200nM,0.5562787945222492 -1190,TCTCCAAGAGGGAGTTCATCTCCTGGGGAG,MED12,63.11,1374.0,0.504329004,0,PLX_2uM,0.5562787945222492 -1191,TCTACAAGAGTAGGATTGGTAGAAGGGTGG,MED12,90.9,1979.0,0.1504329,0,AZD_200nM,0.3185575468400209 -1192,TCTACAAGAGTAGGATTGGTAGAAGGGTGG,MED12,90.9,1979.0,0.13961039,0,PLX_2uM,0.3185575468400209 -1193,AGCGCAAGATCACCAAGGAGGAGAAGGAGC,TADA2B,60.0,252.0,0.173684211,0,AZD_200nM,0.49892908819129145 -1194,GCAGCAAGCACAATACCATTAAAAAGGTAC,NF2,97.14,578.0,0.062780269,0,PLX_2uM,0.08563873661800041 -1195,GGTTCAAGCAGAAGATCAGCAAAGAGGAGT,TADA1,11.94,40.0,0.853211009,1,AZD_200nM,0.7203753119153733 -1196,TGGCCAAGCATGGAGGAAGGCACTCGGGCT,CD45,53.01,599.0,0.61732852,0,nodrug,0.5170881596130992 -1197,AAAACAAGCGTGCATACATGAACCTGGCGA,MED12,74.18,1615.0,0.291125541,0,AZD_200nM,0.5478280355952828 -1198,AAAACAAGCGTGCATACATGAACCTGGCGA,MED12,74.18,1615.0,0.361471861,0,PLX_2uM,0.5478280355952828 -1199,CAAACAAGCTAGATCAAGAAGTACAGGAGG,CD33,22.53,82.0,0.7056277059999999,0,nodrug,0.5468596963897172 -1200,CTACCAAGCTGGGACTTCCAAAGCTGGGAA,NF1,56.36,1600.0,0.956521739,1,PLX_2uM,0.5826440183990881 -1201,GTTTCAAGCTTTCCACCTCAAAACTGGTCA,CD45,23.89,270.0,0.47292418799999997,0,nodrug,0.33548718014664536 -1202,AGGCCAAGGACAGGCCCCTGGGCCTGGGGA,CD5,39.47,195.0,0.071129707,0,nodrug,0.3153703449393545 -1203,TCTACAAGGCCAAGGACAGGCCCCTGGGCC,CD5,39.07,193.0,0.393305439,0,nodrug,0.5046175105406869 -1204,GCATCAAGGCCACAGCGATTCGCACGGAGG,NF2,70.25,418.0,0.304932735,0,PLX_2uM,0.6107568593980874 -1205,TGTACAAGGGCGTGAACAGCGACGTGGAAG,CD28,28.9,63.0,0.716216216,0,nodrug,0.7253199143771605 -1206,GAGACAAGGTGGCTGCCCGGGTGAAGGCCG,CCDC101,56.66,166.0,0.281879195,0,AZD_200nM,0.5015839906672964 -1207,GAGGCAAGTGGTATGACATGCCAAGGGCAA,MED12,39.6,862.0,0.8863636359999999,1,AZD_200nM,0.7204567259167042 -1208,GAGGCAAGTGGTATGACATGCCAAGGGCAA,MED12,39.6,862.0,0.845238095,1,PLX_2uM,0.7204567259167042 -1209,TAGGCAAGTGGTCAAGTGGTGAGCCGGTCT,MED12,18.01,392.0,0.8290043290000001,1,AZD_200nM,0.6075655185062555 -1210,TAGGCAAGTGGTCAAGTGGTGAGCCGGTCT,MED12,18.01,392.0,0.825757576,1,PLX_2uM,0.6075655185062555 -1211,CTAGCAAGTTCTTCATTATAGCTATGGTTT,NF1,34.03,966.0,0.6834239129999999,0,PLX_2uM,0.48266332287943986 -1212,GTGACAATACACAGCATCAATCTTAGGCCA,NF1,15.11,429.0,0.9334239129999999,1,PLX_2uM,0.5551289989494783 -1213,CCCGCAATAGTTTGTTTAAAGAGACGGTCA,CUL3,47.53,365.0,0.42207792200000005,0,PLX_2uM,0.6198976532252279 -1214,TACACAATCAAGGACACAGTGGCCTGGCTC,NF2,12.27,73.0,0.430493274,0,PLX_2uM,0.5998691342974466 -1215,ATGGCAATCCGGAATCCTCTGGAGTGGCAC,NF1,83.41,2368.0,0.591032609,0,PLX_2uM,0.5512726282614986 -1216,ACTACAATCTGGTGCCAGCCTTCCTGGGGA,TADA2B,55.24,232.0,0.005263158,0,AZD_200nM,0.26634430461645325 -1217,TGTTCAATGAAGGGAAAGGACCAAGGGCCA,CD5,18.62,92.0,0.9916317990000001,1,nodrug,0.6647060288199289 -1218,AGGGCAATGAGCAGAGTTTCCGAGTGGACC,H2-K,26.02,96.0,0.976331361,1,nodrug,0.7120392424494197 -1219,GAAACAATGATGTTAAATCTGGTCAGGTAA,NF1,35.08,996.0,0.419836957,0,PLX_2uM,0.5011002659522427 -1220,ACCTCAATGTGACGGGCTATTACCGGGTGA,CD13,65.15,630.0,0.584615385,0,nodrug,0.5776256224259638 -1221,CCCTCAATGTGGCTCAGAGATACGTGGTGG,CCDC101,96.59,283.0,0.11409396,0,AZD_200nM,0.46596672319477317 -1222,AAGACAATTCAGTAGTTTCCAAGGGGGTCA,CD43,19.49,77.0,0.804347826,1,nodrug,0.76590311728773 -1223,ATCACAATTCGTAATAAAGGATCCAGGAGT,NF1,45.86,1302.0,0.672554348,0,PLX_2uM,0.5892986698293234 -1224,GAACCAATTGTAAAGGTGGTTGAAAGGGAA,CUL3,34.51,265.0,1.0,1,PLX_2uM,0.545815315676851 -1225,TGCCCACAACCATGACTGGCGTCATGGGTT,MED12,86.59,1885.0,0.294372294,0,AZD_200nM,0.43481388456620157 -1226,TGCCCACAACCATGACTGGCGTCATGGGTT,MED12,86.59,1885.0,0.29978355,0,PLX_2uM,0.43481388456620157 -1227,TGTGCACAATCATCGCACTGTCAGTGGTGT,CD13,3.1,30.0,0.337362637,0,nodrug,0.5554027096375569 -1228,TCTGCACAATGAGAACTCCGACAGGGGTGG,NF2,95.29,567.0,0.022421525,0,PLX_2uM,0.3244642731159863 -1229,GTGGCACACACTTCGAAGTTGAGGGGGGAA,NF1,47.9,1360.0,0.7826086959999999,0,PLX_2uM,0.6365059166854194 -1230,CTCTCACACTATTCAGGTGATCTCTGGCTG,H2-K,32.25,119.0,0.437869822,0,nodrug,0.3653312254846694 -1231,TTGACACACTTGCAGAAACAGTATTGGCTG,NF1,42.27,1200.0,0.622282609,0,PLX_2uM,0.5011575477662752 -1232,AAGGCACAGAACAACCCTGTCTGCTGGGAT,CD45,88.5,1000.0,0.375451264,0,nodrug,0.43182702071446555 -1233,AGGGCACAGAGCTGCTGCTTGGAGTGGATG,NF2,39.5,235.0,0.7354260090000001,0,PLX_2uM,0.5435340188143651 -1234,AGCACACAGAGGGCTACAATGTGATGGCCT,HPRT1,27.98,61.0,0.765625,0,6TG_2ug/mL,0.6536820750021627 -1235,GGTACACAGAGGTCTTATAAGAGGAGGGTT,MED12,86.91,1892.0,0.5519480520000001,0,AZD_200nM,0.5051175255113753 -1236,GGTACACAGAGGTCTTATAAGAGGAGGGTT,MED12,86.91,1892.0,0.438311688,0,PLX_2uM,0.5051175255113753 -1237,ACTACACAGAGTCAAGATTCAAACAGGTAT,CUL3,87.89,675.0,0.233766234,0,PLX_2uM,0.36102278556857925 -1238,CCACCACAGATGCCCACTTCTGGAAGGTTC,H2-K,71.27,263.0,0.911242604,1,nodrug,0.627826327039868 -1239,GCAGCACAGCGAATCAGATCTTCCAGGAGC,MED12,52.55,1144.0,0.8636363640000001,1,AZD_200nM,0.5417941737200566 -1240,GCAGCACAGCGAATCAGATCTTCCAGGAGC,MED12,52.55,1144.0,0.908008658,1,PLX_2uM,0.5417941737200566 -1241,AGGCCACAGCGATTCGCACGGAGGAGGAGA,NF2,70.59,420.0,0.914798206,1,PLX_2uM,0.5167754840447933 -1242,AATTCACAGTAATGTTCCCAAACATGGCAG,CD45,3.89,44.0,0.292418773,0,nodrug,0.4989792358320349 -1243,AGGACACAGTGGCCTGGCTCAAAATGGACA,NF2,12.77,76.0,0.20179372199999998,0,PLX_2uM,0.3385770570907991 -1244,TTGTCACAGTGGTGGGGGGTGCACTGGTTC,CD43,39.75,157.0,0.19565217399999998,0,nodrug,0.3392844939932278 -1245,AGGGCACATAAGCAGGTCACTAAAGGGAGT,MED12,15.94,347.0,0.33658008700000003,0,AZD_200nM,0.47630428795419893 -1246,AGGGCACATAAGCAGGTCACTAAAGGGAGT,MED12,15.94,347.0,0.338744589,0,PLX_2uM,0.47630428795419893 -1247,CTGCCACATACCTGCTGGGAACGCTGGGTG,CD5,3.24,16.0,0.569037657,0,nodrug,0.4833373566540028 -1248,CTGCCACATCAAGGGAATTGTTGAAGGACA,NF1,73.65,2091.0,0.9089673909999999,1,PLX_2uM,0.49940773977196024 -1249,ATATCACATCCTACCCCGTAAAAAAGGAGA,NF1,22.09,627.0,0.157608696,0,PLX_2uM,0.25914640133399713 -1250,ATTACACATGCCATGTGTACCATCAGGGGC,H2-K,76.96,284.0,0.289940828,0,nodrug,0.40845360887556414 -1251,TTAACACATGTCCCTGGACTGAGGTGGGCA,MED12,66.05,1438.0,0.667748918,0,AZD_200nM,0.621797100397793 -1252,TTAACACATGTCCCTGGACTGAGGTGGGCA,MED12,66.05,1438.0,0.8290043290000001,1,PLX_2uM,0.621797100397793 -1253,CAAGCACATTGCCGTCACTTATGAAGGAAA,NF1,52.8,1499.0,0.02173913,0,PLX_2uM,0.4968257474530409 -1254,TGATCACCAAACACAAGTGGGAGCAGGCTG,H2-K,45.8,169.0,0.8579881659999999,1,nodrug,0.5242830834345676 -1255,CTCCCACCACAGCAGCACGCCCACCGGTCG,CD15,35.85,190.0,0.893772894,1,nodrug,0.6366351693010318 -1256,ATGACACCACAGCATCATCATCTGAGGAGA,MED12,22.92,499.0,0.7867965370000001,0,AZD_200nM,0.6933072016376097 -1257,ATGACACCACAGCATCATCATCTGAGGAGA,MED12,22.92,499.0,0.758658009,0,PLX_2uM,0.6933072016376097 -1258,CTGTCACCACAGCTACTGGGTCTCTGGGGC,CD43,48.86,193.0,0.166666667,0,nodrug,0.25847744631259595 -1259,AAACCACCACCAAGGCAATAAGCATGGGCA,CD43,64.56,255.0,0.768115942,0,nodrug,0.5908237141823098 -1260,GCCTCACCACCCCGCTGCCCCCGCTGGACA,TADA2B,36.43,153.0,0.30526315800000003,0,AZD_200nM,0.43361333954364645 -1261,TTTCCACCACCGCGACCTCGTGAAGGGGCC,CD15,45.85,243.0,0.721611722,0,nodrug,0.5046570435087128 -1262,TGCTCACCACGACGCCAGGGCTGCGGGTCG,HPRT1,2.29,5.0,0.609375,0,6TG_2ug/mL,0.43974034860123407 -1263,TGTGCACCAGCAGGCCCCCACCTATGGACA,MED12,92.1,2005.0,0.298701299,0,AZD_200nM,0.32913800729700665 -1264,TGTGCACCAGCAGGCCCCCACCTATGGACA,MED12,92.1,2005.0,0.287878788,0,PLX_2uM,0.32913800729700665 -1265,AGTTCACCAGCATTAAGGAGTGAAGGGATG,MED12,53.01,1154.0,0.9491341990000001,1,AZD_200nM,0.641010010434644 -1266,AGTTCACCAGCATTAAGGAGTGAAGGGATG,MED12,53.01,1154.0,0.916666667,1,PLX_2uM,0.641010010434644 -1267,GGGACACCAGCTCCTGCAGAGCTGAGGGAC,CD5,45.95,227.0,0.20502092100000002,0,nodrug,0.5261339776695648 -1268,AATTCACCAGCTGGCCAGACCATGGGGTTC,CD45,57.35,648.0,0.790613718,0,nodrug,0.6226808362732105 -1269,GGTTCACCAGGCAGGCTGTCAGGCTGGTCA,THY1,15.43,25.0,0.290322581,0,nodrug,0.5327998740083851 -1270,TTGTCACCAGGCTTCCCGATCCACAGGGGC,CCDC101,45.39,133.0,0.308724832,0,AZD_200nM,0.4434145604452008 -1271,AGGTCACCAGTCCCCAGTTCTCCATGGCGC,CD13,36.71,355.0,0.7813186809999999,0,nodrug,0.5529296013999785 -1272,GTGGCACCATCCTCTACAAGGCCAAGGACA,CD5,38.26,189.0,0.464435146,0,nodrug,0.6283287028635427 -1273,AGAACACCATCTACCTGAACCTGTGGGACC,CD13,53.46,517.0,0.479120879,0,nodrug,0.6765046945803447 -1274,CCCCCACCCAAGGAGAAGATTGAAGGGACC,MED12,33.03,719.0,0.478354978,0,AZD_200nM,0.6027571120171871 -1275,CCCCCACCCAAGGAGAAGATTGAAGGGACC,MED12,33.03,719.0,0.472943723,0,PLX_2uM,0.6027571120171871 -1276,GCAGCACCCAGCAGACCACGGAGTGGGCCA,MED12,71.47,1556.0,0.696969697,0,AZD_200nM,0.5593321174090994 -1277,GCAGCACCCAGCAGACCACGGAGTGGGCCA,MED12,71.47,1556.0,0.69047619,0,PLX_2uM,0.5593321174090994 -1278,CAACCACCCCACCCACCACCGTGCCGGAGC,CD5,30.36,150.0,0.238493724,0,nodrug,0.5305445826155897 -1279,AAGCCACCCCGGCGACCCGCCCTCAGGCCT,CD15,64.72,343.0,0.58974359,0,nodrug,0.4960525015300145 -1280,AGGCCACCCCTTCCAGACTGTCCGAGGCAG,CD5,4.66,23.0,0.8242677820000001,1,nodrug,0.6131023117413477 -1281,TGACCACCCGCTCCTTGTTGCTGCTGGAGG,CD13,38.99,377.0,0.074725275,0,nodrug,0.35185354596919666 -1282,ACTACACCCTCAGCCAGGGGCACAGGGTGG,CD13,13.96,135.0,0.645054945,0,nodrug,0.6110157078506789 -1283,AAGTCACCCTGAGGTGCTGGGCCCTGGGCT,H2-K,61.25,226.0,0.065088757,0,nodrug,0.215399230844711 -1284,GGACCACCCTGTGCCCCTGGCTGAGGGTGT,CD13,13.65,132.0,0.567032967,0,nodrug,0.489365307770196 -1285,TGAGCACCGAGGAGTGAGTAGTCCTGGGGC,CD33,52.47,191.0,0.582251082,0,nodrug,0.47046991350559697 -1286,CACTCACCGGGGAGGCTGACCCTGTGGTAG,CD33,83.52,304.0,0.134199134,0,nodrug,0.5610578503266392 -1287,GGCTCACCGGGTACGTGGGCTTGGTGGCAA,NF2,80.34,478.0,1.0,1,PLX_2uM,0.5350422349096835 -1288,CCAGCACCGTCCGTTTCACCTGCAAGGAGG,CD13,11.69,113.0,0.598901099,0,nodrug,0.560723969159633 -1289,CGTTCACCGTGAGGATCGTCACCATGGACG,NF2,4.71,28.0,0.816143498,1,PLX_2uM,0.6141462452498088 -1290,TGTGCACCTCAGGCCTTCGTGTCCTGGCAC,CD5,33.4,165.0,0.355648536,0,nodrug,0.3905551655281849 -1291,TTGCCACCTCTACATCATGGGGCAAGGGCC,MED12,10.24,223.0,0.823593074,1,AZD_200nM,0.5595391952472099 -1292,TTGCCACCTCTACATCATGGGGCAAGGGCC,MED12,10.24,223.0,0.8019480520000001,1,PLX_2uM,0.5595391952472099 -1293,CCGCCACCTGCAACAGCGGCCCAGTGGCTA,MED12,91.64,1995.0,0.30194805199999997,0,AZD_200nM,0.3656673986773969 -1294,CCGCCACCTGCAACAGCGGCCCAGTGGCTA,MED12,91.64,1995.0,0.26623376600000004,0,PLX_2uM,0.3656673986773969 -1295,AGTTCACCTTAACCATTGCAAACCAGGGCA,NF1,63.58,1805.0,0.692934783,0,PLX_2uM,0.5002787574140359 -1296,CTCACACCTTGCAGATCCGGATCTGGGCCC,CD13,31.23,302.0,0.276923077,0,nodrug,0.4674675523224119 -1297,AGGACACGAAGGCCTGAGGTGCACAGGTGT,CD5,34.41,170.0,0.70292887,0,nodrug,0.5102398131534863 -1298,CCTTCACGACAGGTGTGAAGAAAATGGCAG,NF1,4.23,120.0,0.294836957,0,PLX_2uM,0.34869139508007385 -1299,GTCACACGATGTGAAGAAGGAAACAGGGTA,CD45,51.68,584.0,0.30324909699999997,0,nodrug,0.3874087393208146 -1300,ACTCCACGCACGTGCCCTCCAGGTAGGCCC,H2-K,49.05,181.0,0.48520710100000003,0,nodrug,0.6592537038502475 -1301,GCAGCACGCCCACCGGTCGCGACGGGGTTG,CD15,35.09,186.0,0.384615385,0,nodrug,0.582624893242238 -1302,CCAACACGCGCAGATCCACCTCCTCGGCAG,CD15,49.43,262.0,0.256410256,0,nodrug,0.6011684692717117 -1303,CTGTCACGCGGTTGGGGATGGTGTCGGGGA,TADA2B,30.24,127.0,0.247368421,0,AZD_200nM,0.3851175406316291 -1304,CGTGCACGCTGCTCCTGCTGTTGGCGGCCG,H2-K,2.71,10.0,0.579881657,0,nodrug,0.49819737143532383 -1305,AAAGCACGGCCTGAGCCTCTCCGTAGGACG,CD15,43.4,230.0,0.875457875,1,nodrug,0.7121703539442156 -1306,CTACCACGGCTACCAGCTGGTGGACGGCGG,TADA2B,12.86,54.0,0.736842105,0,AZD_200nM,0.576515832556258 -1307,CCCGCACGGTGGTGGGGAGTTGGATGGACC,CD13,54.91,531.0,0.5527472529999999,0,nodrug,0.4877426330416329 -1308,GAAGCACGTGCTCTCAGGCACCCTTGGGAT,THY1,41.36,67.0,0.225806452,0,nodrug,0.4187911458728649 -1309,AGAGCACGTGCTTCCTCTTCTCTCGGGTCA,THY1,35.8,58.0,0.306451613,0,nodrug,0.517372863189382 -1310,CGTCCACGTGGATGAAGGCGCCGCGGGGCA,CD15,85.66,454.0,0.747252747,0,nodrug,0.4492216260173073 -1311,AGGACACTAAAGGAGACTCAGCCATGGTCC,NF1,87.81,2493.0,0.408967391,0,PLX_2uM,0.5711596163279067 -1312,CAGCCACTCACCTGCCCACAGCAGGGGCAG,CD33,2.75,10.0,0.571428571,0,nodrug,0.6347711073255119 -1313,GGAGCACTCACCTGGCCAGGTTGAAGGCGT,CD13,68.98,667.0,0.45274725299999996,0,nodrug,0.4124725968902331 -1314,GCAGCACTCCAGGGTAAGTTGGTCGGGTGG,MED12,85.99,1872.0,0.43722943700000005,0,AZD_200nM,0.4296908887990336 -1315,GCAGCACTCCAGGGTAAGTTGGTCGGGTGG,MED12,85.99,1872.0,0.48376623399999996,0,PLX_2uM,0.4296908887990336 -1316,CCCACACTCTCCTTACCCCATCTCAGGGTG,H2-K,79.67,294.0,0.124260355,0,nodrug,0.33764319342898425 -1317,CACACACTGCTGCCCCCGACCAGGCGGCTC,CD5,56.28,278.0,0.920502092,1,nodrug,0.6605866280656736 -1318,AAGGCACTGCTGTGCCAGTCTTGCAGGTGT,THY1,8.64,14.0,0.016129031999999998,0,nodrug,0.2834255054866802 -1319,GATACACTGGAAAAATGTCTTGCTGGGGTA,NF1,3.35,95.0,0.657608696,0,PLX_2uM,0.48249266628006193 -1320,TAGCCACTGGGCCGCTGTTGCAGGTGGCGG,MED12,91.46,1991.0,0.21645021600000003,0,AZD_200nM,0.3019067158806132 -1321,TAGCCACTGGGCCGCTGTTGCAGGTGGCGG,MED12,91.46,1991.0,0.123376623,0,PLX_2uM,0.3019067158806132 -1322,ATGGCACTGGGCCGGGCCCAGATCCGGATC,CD13,31.23,302.0,0.14285714300000002,0,nodrug,0.35956327952450173 -1323,TGGTCACTGTGATTGCTCATGAGCTGGCCC,CD13,40.23,389.0,0.091208791,0,nodrug,0.39663389264883075 -1324,ACCCCACTTCCAGAAGACCCCAACTGGAAT,CD13,27.2,263.0,0.057142857000000005,0,nodrug,0.3829593059646108 -1325,CCCCCACTTCCTGCAGGCCCTGGCCGGTAG,MED12,9.51,207.0,0.41017316,0,AZD_200nM,0.43815883115325405 -1326,CCCCCACTTCCTGCAGGCCCTGGCCGGTAG,MED12,9.51,207.0,0.451298701,0,PLX_2uM,0.43815883115325405 -1327,GAGGCACTTGGGAAGTCGTCCACGTGGATG,CD15,86.6,459.0,0.9487179490000001,1,nodrug,0.6170791697122726 -1328,CTTCCAGAAAACAACGGCCCAGGAGGGCGG,CD5,52.02,257.0,0.774058577,0,nodrug,0.6568502895292823 -1329,CTTGCAGAAACAGTATTGGCTGATCGGTTT,NF1,42.37,1203.0,0.308423913,0,PLX_2uM,0.5724775123788899 -1330,CTCACAGAAAGCGGCTGGATCTCCAGGGAC,TADA2B,99.05,416.0,0.205263158,0,AZD_200nM,0.13672870596732142 -1331,AGCACAGAAATTCTCAAGTGGTTGCGGGAA,NF1,21.13,600.0,0.148097826,0,PLX_2uM,0.39574592059170116 -1332,CCCTCAGAACAGCATCGGTGCAGTAGGAAG,NF1,49.45,1404.0,0.625,0,PLX_2uM,0.6350493664274147 -1333,CACCCAGAACCAGCCACTACCTGCAGGTGA,MED12,84.93,1849.0,0.7976190479999999,0,AZD_200nM,0.5736707754233185 -1334,CACCCAGAACCAGCCACTACCTGCAGGTGA,MED12,84.93,1849.0,0.819264069,1,PLX_2uM,0.5736707754233185 -1335,ACCCCAGAACCAGGTCTTCTGCCAAGGATC,CD5,21.46,106.0,0.31380753100000003,0,nodrug,0.6076190139819487 -1336,GGTTCAGAACCTTCAAGATATCCTTGGTGA,MED12,35.69,777.0,0.480519481,0,AZD_200nM,0.5062272608167058 -1337,GGTTCAGAACCTTCAAGATATCCTTGGTGA,MED12,35.69,777.0,0.5173160170000001,0,PLX_2uM,0.5062272608167058 -1338,AGGCCAGAATTGCTTCTCTGCTGGAGGCAC,NF1,30.05,853.0,0.301630435,0,PLX_2uM,0.5985343951856418 -1339,ATATCAGACACAAAGGCTCCTAAAAGGCAA,NF1,90.0,2555.0,0.45380434799999997,0,PLX_2uM,0.2495320804176137 -1340,TGGTCAGACATACCTGCTGAGTGAAGGCAC,MED12,19.02,414.0,0.956709957,1,AZD_200nM,0.6903622582719724 -1341,TGGTCAGACATACCTGCTGAGTGAAGGCAC,MED12,19.02,414.0,0.92965368,1,PLX_2uM,0.6903622582719724 -1342,TGGACAGACATGAGTTCCTGACCTGGGTGC,MED12,11.76,256.0,0.945887446,1,AZD_200nM,0.6906347125033477 -1343,TGGACAGACATGAGTTCCTGACCTGGGTGC,MED12,11.76,256.0,0.88961039,1,PLX_2uM,0.6906347125033477 -1344,CCATCAGAGATGGCAGACAGCAGCAGGACT,CD13,61.74,597.0,0.431868132,0,nodrug,0.5232967538694323 -1345,TACGCAGAGCACCGAGGCCGAGCCAGGTGA,NF2,33.45,199.0,0.183856502,0,PLX_2uM,0.4801438338427459 -1346,AGACCAGAGCAGGAGTGGTTCATGGGGCCA,CD33,71.15,259.0,0.7510822509999999,0,nodrug,0.6267679725279843 -1347,TCAGCAGAGCGAACAAAAGTCCTAGGGCAA,NF1,62.45,1773.0,0.733695652,0,PLX_2uM,0.6887478036339806 -1348,TACACAGAGCGTGGCCTACTTAGCAGGTAA,NF1,85.91,2439.0,0.145380435,0,PLX_2uM,0.46342200991068455 -1349,GCGCCAGAGGCAAAAGCGGAGGACTGGGGC,CD43,70.38,278.0,0.224637681,0,nodrug,0.3523334602943933 -1350,GCGCCAGAGTGACAGGGACCTTATGGGCAC,CD13,69.6,673.0,0.134065934,0,nodrug,0.4490339236484997 -1351,CTGGCAGAGTTGTCTCACCTTGGCAGGATT,MED12,3.12,68.0,0.255411255,0,AZD_200nM,0.42405825146072385 -1352,CTGGCAGAGTTGTCTCACCTTGGCAGGATT,MED12,3.12,68.0,0.257575758,0,PLX_2uM,0.42405825146072385 -1353,TCTCCAGATATGACCATGGGTTTGTGGCTC,CD45,0.44,5.0,0.6714801440000001,0,nodrug,0.42054891275176015 -1354,GGAGCAGATCACGAGCTTTGCCCTTGGCAT,MED12,39.5,860.0,0.626623377,0,AZD_200nM,0.557890739199223 -1355,GGAGCAGATCACGAGCTTTGCCCTTGGCAT,MED12,39.5,860.0,0.7207792209999999,0,PLX_2uM,0.557890739199223 -1356,GGACCAGATGGCACAGGTCTTTGAGGGGTA,MED12,43.55,948.0,0.670995671,0,AZD_200nM,0.5854354026476677 -1357,GGACCAGATGGCACAGGTCTTTGAGGGGTA,MED12,43.55,948.0,0.623376623,0,PLX_2uM,0.5854354026476677 -1358,TTTTCAGATTAGTGATGATGAACCAGGTTA,HPRT1,6.42,14.0,0.515625,0,6TG_2ug/mL,0.5309841568161493 -1359,GCCACAGATTCTCCAGCTATGTATCGGGAA,NF2,50.42,300.0,0.793721973,0,PLX_2uM,0.5541807408457639 -1360,TGACCAGCAAAGAAGTTAAGGATGGGGCCC,CD13,33.51,324.0,0.771428571,0,nodrug,0.6069951234932531 -1361,ATTGCAGCAACACACAGGCCCTGCAGGTAC,MED12,89.99,1959.0,0.25974026,0,AZD_200nM,0.33674501795139805 -1362,ATTGCAGCAACACACAGGCCCTGCAGGTAC,MED12,89.99,1959.0,0.255411255,0,PLX_2uM,0.33674501795139805 -1363,GCAGCAGCAACCTGCGGTGCCCCAAGGACA,MED12,87.55,1906.0,0.673160173,0,AZD_200nM,0.5006231879437798 -1364,GCAGCAGCAACCTGCGGTGCCCCAAGGACA,MED12,87.55,1906.0,0.696969697,0,PLX_2uM,0.5006231879437798 -1365,AGGCCAGCAAGTACGTGGACATCTTGGGCG,CD13,28.44,275.0,0.24065934100000003,0,nodrug,0.41875757490913634 -1366,TTCACAGCAATTTAGATGAACAACAGGAAC,CD45,39.03,441.0,0.227436823,0,nodrug,0.38813709105120686 -1367,TCTTCAGCACATCAGGCAATGAGTGGGTCC,CD13,63.91,618.0,0.950549451,1,nodrug,0.6849451300206325 -1368,CCAGCAGCACCACCAGGAGTACAAGGGTCA,CD5,78.34,387.0,0.8368200840000001,1,nodrug,0.6792052708569737 -1369,CCGTCAGCACCACTCTCTTGGGGCTGGTTT,MED12,78.23,1703.0,0.44047619,0,AZD_200nM,0.40107114057484544 -1370,CCGTCAGCACCACTCTCTTGGGGCTGGTTT,MED12,78.23,1703.0,0.46861471899999996,0,PLX_2uM,0.40107114057484544 -1371,ATACCAGCACGGGGACCCTTTCCCAGGAGC,CD13,58.12,562.0,0.556043956,0,nodrug,0.5134211611306465 -1372,CCAGCAGCACTTCGTGGGAGTCCATGGATA,CD5,0.4,2.0,0.251046025,0,nodrug,0.4753182374159859 -1373,CCTCCAGCAGCAACAAGGAGCGGGTGGTCA,CD13,39.4,381.0,0.7109890109999999,0,nodrug,0.6984376452122599 -1374,CAGTCAGCAGCCGCTCATGATACTTGGTGT,NF1,59.6,1692.0,0.663043478,0,PLX_2uM,0.48652192266040395 -1375,CCAGCAGCAGCTGCTCCTCGCGACTGGTCC,TADA2B,17.38,73.0,0.7473684209999999,0,AZD_200nM,0.47608532505333273 -1376,CGAACAGCAGGGAGTTCTCCCGGTAGGTCA,CD13,37.54,363.0,0.643956044,0,nodrug,0.7042629318731324 -1377,CAGCCAGCAGGTGGCGGTCGCAGGAGGAGC,MED12,55.26,1203.0,0.525974026,0,AZD_200nM,0.6083979777696932 -1378,CAGCCAGCAGGTGGCGGTCGCAGGAGGAGC,MED12,55.26,1203.0,0.49350649399999996,0,PLX_2uM,0.6083979777696932 -1379,CCCTCAGCATCCTTCGGAAAGCTCTGGACA,CCDC101,27.3,80.0,0.9865771809999999,1,AZD_200nM,0.5258954611816465 -1380,TGCTCAGCCACAGAGATGTCCAGCGGGGGC,TADA2B,36.67,154.0,0.842105263,1,AZD_200nM,0.5599428829658033 -1381,AGCACAGCCACAGCTACCCAAAAGAGGGCT,NF1,81.58,2316.0,0.792119565,0,PLX_2uM,0.5522387543807151 -1382,AGGACAGCCACGATGCACAGGCACAGGCTA,MED12,42.4,923.0,0.488095238,0,AZD_200nM,0.6413480838573791 -1383,AGGACAGCCACGATGCACAGGCACAGGCTA,MED12,42.4,923.0,0.590909091,0,PLX_2uM,0.6413480838573791 -1384,AAAGCAGCCAGGACAGCAGTGGGCAGGAAT,CD33,81.04,295.0,0.25974026,0,nodrug,0.4683114672983838 -1385,TCTGCAGCCAGGGGCCGGGGACGGTGGGAA,CD5,62.96,311.0,0.133891213,0,nodrug,0.36078325008891243 -1386,GACTCAGCCATGGTCCTCTCCCAAAGGTTC,NF1,87.95,2497.0,0.426630435,0,PLX_2uM,0.5227843400556539 -1387,GCCACAGCCCAGTACCAACATATTTGGACG,MED12,99.82,2173.0,0.090909091,0,AZD_200nM,0.0929109466382314 -1388,GCCACAGCCCAGTACCAACATATTTGGACG,MED12,99.82,2173.0,0.100649351,0,PLX_2uM,0.0929109466382314 -1389,ATTCCAGCCTCAAAATCCTCTCTCAGGAGC,TADA1,35.52,119.0,0.605504587,0,AZD_200nM,0.5530772221718968 -1390,CCAGCAGCCTTTAACACATGTCCCTGGACT,MED12,66.19,1441.0,0.604978355,0,AZD_200nM,0.6131539673679266 -1391,CCAGCAGCCTTTAACACATGTCCCTGGACT,MED12,66.19,1441.0,0.47943722899999996,0,PLX_2uM,0.6131539673679266 -1392,TGGACAGCGAGTTCGAGGGGGAGTTGGCAG,CD13,19.13,185.0,0.7109890109999999,0,nodrug,0.5395319999661671 -1393,TGCCCAGCGCATATTTGATTCCGATGGCTC,MED12,46.49,1012.0,0.277056277,0,AZD_200nM,0.5287808359730537 -1394,TGCCCAGCGCATATTTGATTCCGATGGCTC,MED12,46.49,1012.0,0.298701299,0,PLX_2uM,0.5287808359730537 -1395,TGATCAGCGCCGTACACGTCAAGCCGGCGG,CD15,30.38,161.0,0.395604396,0,nodrug,0.5943863225837345 -1396,AACCCAGCGCTGGCCCGGGGGCCTGGGGCT,CD15,54.15,287.0,0.025641026,0,nodrug,0.1617317734431619 -1397,CCGCCAGCGCTTGGCAGCCAAGGAGGGGCT,TADA1,98.21,329.0,0.376146789,0,AZD_200nM,0.28924367891711744 -1398,CAACCAGCGGTTGGTCGTACTGTTTGGGGT,MED12,34.77,757.0,0.340909091,0,AZD_200nM,0.31642867633274663 -1399,CAACCAGCGGTTGGTCGTACTGTTTGGGGT,MED12,34.77,757.0,0.291125541,0,PLX_2uM,0.31642867633274663 -1400,TGGACAGCGTAGCTCCGGCGCCAGTGGAAG,CD15,92.08,488.0,0.274725275,0,nodrug,0.42915910049813966 -1401,GTCTCAGCGTCACCCGGTAGGAATCGGGTT,CD13,8.69,84.0,0.302197802,0,nodrug,0.4482065937272441 -1402,CACCCAGCGTTCCCAGCAGGTATGTGGCAG,CD5,2.43,12.0,0.9414225940000001,1,nodrug,0.6454799010693402 -1403,CCAGCAGCTACCTGGGGCTGGGACTGGGGC,MED12,97.98,2133.0,0.10281385300000001,0,AZD_200nM,-0.016217465146224214 -1404,CCAGCAGCTACCTGGGGCTGGGACTGGGGC,MED12,97.98,2133.0,0.038961038999999996,0,PLX_2uM,-0.016217465146224214 -1405,CCACCAGCTCAGTCTTGTCAATGTCGGGGG,CD13,15.51,150.0,0.5043956039999999,0,nodrug,0.5786273506303355 -1406,GGCACAGCTCGATGTCCTGGCACTCGGTGC,TADA2B,6.19,26.0,0.6315789470000001,0,AZD_200nM,0.5092849674389768 -1407,TCCCCAGCTCTCTGTGCATGTGACAGGTGA,CD33,37.91,138.0,0.38311688299999996,0,nodrug,0.4565212821006466 -1408,CAGGCAGCTCTTCCCCTTTCCATGTGGTAC,CD45,84.16,951.0,0.9025270759999999,1,nodrug,0.553070329559291 -1409,GATACAGCTGAGGCCAAAAACCAGGGGCCG,MED12,16.49,359.0,0.927489177,1,AZD_200nM,0.7499605874009088 -1410,GATACAGCTGAGGCCAAAAACCAGGGGCCG,MED12,16.49,359.0,0.943722944,1,PLX_2uM,0.7499605874009088 -1411,GCGGCAGCTGCCCCCAGCAAGCGTAGGTGA,CD15,32.08,170.0,0.7692307690000001,0,nodrug,0.6165344097883546 -1412,TGGGCAGCTGGCTTACCAAGTTCCAGGTGG,CD13,44.47,430.0,0.349450549,0,nodrug,0.41401805977339523 -1413,ATTGCAGCTGGTGCCAGGACACGAAGGCCT,CD5,33.4,165.0,0.80334728,1,nodrug,0.6858751303882463 -1414,ATCTCAGCTGTTTGCACACTGCAGAGGCCT,CD5,15.79,78.0,0.6736401670000001,0,nodrug,0.6342438162187013 -1415,AGTCCAGCTTACCAGAGCAGATGACGGTGA,CD5,53.85,266.0,0.7824267779999999,0,nodrug,0.7047437785550966 -1416,TTGTCAGCTTCCTCAGGAATGGGTAGGAGA,MED12,59.3,1291.0,0.5995670999999999,0,AZD_200nM,0.6660998239030218 -1417,TTGTCAGCTTCCTCAGGAATGGGTAGGAGA,MED12,59.3,1291.0,0.54004329,0,PLX_2uM,0.6660998239030218 -1418,TTCCCAGCTTTGGAAGTCCCAGCTTGGTAG,NF1,56.22,1596.0,0.729619565,0,PLX_2uM,0.5928596681946989 -1419,GAAACAGGAAGATGGATCTGAAGTTGGTGT,CUL3,74.74,574.0,0.824675325,1,PLX_2uM,0.5739958768426772 -1420,CCTACAGGAATGGATCAACATGACTGGCTT,NF1,29.59,840.0,0.881793478,1,PLX_2uM,0.5767886862969934 -1421,CAAACAGGACCGAGTAGTCATCCTGGGGCT,CCDC101,88.05,258.0,0.852348993,1,AZD_200nM,0.5225236836571212 -1422,CACACAGGACTATGGAATGGGCCCGGGTCG,MED12,82.91,1805.0,0.50974026,0,AZD_200nM,0.578516779544059 -1423,CACACAGGACTATGGAATGGGCCCGGGTCG,MED12,82.91,1805.0,0.568181818,0,PLX_2uM,0.578516779544059 -1424,GAGCCAGGAGAGAATGACCTGTCCCGGTAA,NF1,76.93,2184.0,0.472826087,0,PLX_2uM,0.47037758051593154 -1425,ACTGCAGGAGGACATCCTGGAAAATGGGAG,MED12,26.0,566.0,0.24025974,0,AZD_200nM,0.28390879133081154 -1426,ACTGCAGGAGGACATCCTGGAAAATGGGAG,MED12,26.0,566.0,0.212121212,0,PLX_2uM,0.28390879133081154 -1427,GGTCCAGGCACTACTCACATTGTTAGGGGT,MED12,63.07,1373.0,0.188311688,0,AZD_200nM,0.3192471906322427 -1428,GGTCCAGGCACTACTCACATTGTTAGGGGT,MED12,63.07,1373.0,0.140692641,0,PLX_2uM,0.3192471906322427 -1429,TGGTCAGGCAGTATAATCCAAAGATGGTCA,HPRT1,71.56,156.0,0.90625,1,6TG_2ug/mL,0.5721870160140159 -1430,TCCCCAGGCCCAGGGGCCTGTCCTTGGCCT,CD5,38.66,191.0,0.046025105,0,nodrug,0.3631712538784573 -1431,CTCACAGGCCCCCACCCCTCTGTGGGGCCA,CCDC101,49.49,145.0,0.577181208,0,AZD_200nM,0.6359203231108551 -1432,CCAGCAGGCCCCCACCTATGGACATGGACT,MED12,92.19,2007.0,0.23051948100000003,0,AZD_200nM,0.3356828093076941 -1433,CCAGCAGGCCCCCACCTATGGACATGGACT,MED12,92.19,2007.0,0.243506494,0,PLX_2uM,0.3356828093076941 -1434,GCCCCAGGCCCCCGGGCCAGCGCTGGGTTT,CD15,54.91,291.0,0.117216117,0,nodrug,0.35142364044041374 -1435,ACCCCAGGCCCTTGCCAATTCGATGGGAGG,CD5,47.77,236.0,0.44351464399999996,0,nodrug,0.5532937544464847 -1436,CGCACAGGCCGGTGGAATGGGTCCAGGCCG,NF1,0.35,10.0,0.8410326090000001,1,PLX_2uM,0.5096887862734244 -1437,GGGCCAGGCCTGAGGGCGGGTCGCCGGGGT,CD15,64.34,341.0,0.296703297,0,nodrug,0.26447569579568975 -1438,GGAGCAGGCGGCTCCTCATCTTCTGGGGGC,MED12,80.25,1747.0,0.11255411300000001,0,AZD_200nM,0.262036701383514 -1439,GGAGCAGGCGGCTCCTCATCTTCTGGGGGC,MED12,80.25,1747.0,0.185064935,0,PLX_2uM,0.262036701383514 -1440,GGGTCAGGCTGAACTCATGCTGGATGGAGT,THY1,30.86,50.0,0.33870967700000004,0,nodrug,0.5725472549801596 -1441,AGCACAGGGAGCAGTAAAAGCTGGAGGGCT,TADA1,69.85,234.0,0.7431192659999999,0,AZD_200nM,0.6280657371170987 -1442,TGCTCAGGGAGCAGTTGTTCCTACTGGGAT,CD33,26.92,98.0,0.279220779,0,nodrug,0.3868611803549753 -1443,GACTCAGGGCAGATTCCGCCTCCTTGGGGA,CD33,25.27,92.0,0.11904761900000001,0,nodrug,0.4144011073999269 -1444,GCCCCAGGGCGGGGGCCAGTCGGGGGGCCC,CD15,46.79,248.0,0.223443223,0,nodrug,0.3993508212177314 -1445,GGCACAGGGTGGTCCTGCGTGGTGTGGGAG,CD13,14.58,141.0,0.196703297,0,nodrug,0.4010020030830219 -1446,GAACCAGGGTTTGGGTGGTGCAGGAGGTCC,MED12,83.65,1821.0,0.37770562799999996,0,AZD_200nM,0.41780418337914454 -1447,GAACCAGGGTTTGGGTGGTGCAGGAGGTCC,MED12,83.65,1821.0,0.333333333,0,PLX_2uM,0.41780418337914454 -1448,GCTCCAGGTAATAGGCGCGGGGCCGGGGCC,MED12,79.65,1734.0,0.166666667,0,AZD_200nM,0.23757896350642602 -1449,GCTCCAGGTAATAGGCGCGGGGCCGGGGCC,MED12,79.65,1734.0,0.17424242399999998,0,PLX_2uM,0.23757896350642602 -1450,GGAACAGGTACCTTGCTAAGAATACGGATT,NF1,79.96,2270.0,0.611413043,0,PLX_2uM,0.47457938487270956 -1451,AAAGCAGGTACGAGGCCAGGGAGGAGGCAC,CD15,88.11,467.0,0.388278388,0,nodrug,0.4751580471469082 -1452,GGTTCAGGTAGATGGTGTTCTGGTAGGCAA,CD13,52.74,510.0,0.7384615379999999,0,nodrug,0.6574984457872481 -1453,TGCTCAGGTAGGATGGCTGTTGAACGGACG,MED12,93.89,2044.0,0.20129870100000002,0,AZD_200nM,0.3255287022449201 -1454,TGCTCAGGTAGGATGGCTGTTGAACGGACG,MED12,93.89,2044.0,0.18939393899999998,0,PLX_2uM,0.3255287022449201 -1455,TAAGCAGGTCACTAAAGGGAGTCGAGGGTG,MED12,15.8,344.0,0.494588745,0,AZD_200nM,0.6322984999504778 -1456,TAAGCAGGTCACTAAAGGGAGTCGAGGGTG,MED12,15.8,344.0,0.46969697,0,PLX_2uM,0.6322984999504778 -1457,CTGCCAGGTCAGGGTGATGTCAGCAGGGTA,H2-K,63.14,233.0,0.130177515,0,nodrug,0.48315514562748335 -1458,GCCACAGGTCATTCCACCACTCTATGGTCA,CD13,41.57,402.0,0.7010989009999999,0,nodrug,0.5097116816858855 -1459,CCTTCAGGTCCTCTTCTAAAGCCAAGGTGG,NF1,61.01,1732.0,0.796195652,0,PLX_2uM,0.6190713246497409 -1460,CTGTCAGGTGAAGTTCGCTGGAGCTGGTGT,CD33,59.89,218.0,0.149350649,0,nodrug,0.44570690164538507 -1461,AGGTCAGGTTGGTGCCGTGGTCCTGGGGCC,CD33,56.32,205.0,0.37012987,0,nodrug,0.3312706976092796 -1462,CACTCAGTACACCCCATACCTATCGGGATC,MED12,49.15,1070.0,0.745670996,0,AZD_200nM,0.5763080881193606 -1463,CACTCAGTACACCCCATACCTATCGGGATC,MED12,49.15,1070.0,0.7175324679999999,0,PLX_2uM,0.5763080881193606 -1464,AGGTCAGTCCATGTCCATAGGTGGGGGCCT,MED12,92.1,2005.0,0.34848484799999996,0,AZD_200nM,0.30453717098367794 -1465,AGGTCAGTCCATGTCCATAGGTGGGGGCCT,MED12,92.1,2005.0,0.30735930699999997,0,PLX_2uM,0.30453717098367794 -1466,GGGCCAGTCTCCGTGTACAGAAGTAGGCAA,MED12,13.78,300.0,0.7056277059999999,0,AZD_200nM,0.5970098764868151 -1467,GGGCCAGTCTCCGTGTACAGAAGTAGGCAA,MED12,13.78,300.0,0.808441558,1,PLX_2uM,0.5970098764868151 -1468,CGGACAGTCTGGAAGGGGTGGCCTAGGTAA,CD5,5.87,29.0,0.033472802999999995,0,nodrug,0.4763106197015533 -1469,GTGCCAGTCTTGCAGGTGTCCCGAGGGCAG,THY1,11.11,18.0,0.806451613,1,nodrug,0.6506187140132156 -1470,CACCCAGTGACCCCTCCCCTCTGGAGGCTG,CD45,68.14,770.0,0.498194946,0,nodrug,0.5657282270692736 -1471,GCTCCAGTGACTATTGCAGCTCCAAGGACA,H2-K,85.37,315.0,0.686390533,0,nodrug,0.5627430458145214 -1472,CAGTCAGTGAGTAGTGCCAAACCAAGGCAC,MED12,17.36,378.0,0.9209956709999999,1,AZD_200nM,0.7414532742311715 -1473,CAGTCAGTGAGTAGTGCCAAACCAAGGCAC,MED12,17.36,378.0,0.837662338,1,PLX_2uM,0.7414532742311715 -1474,CTGACAGTGCGATGATTGTGCACACGGCTG,CD13,2.48,24.0,0.298901099,0,nodrug,0.5672978932012129 -1475,GAGACAGTGGATGGAGGAGGCTCTGGGAAG,H2-K,80.22,296.0,0.278106509,0,nodrug,0.4731117710464026 -1476,TGGACAGTGGCGGGGCCAGGCCTGAGGGCG,CD15,65.09,345.0,0.35164835200000005,0,nodrug,0.49183293024300273 -1477,GGCCCAGTGGCTATGTGCACCAGCAGGCCC,MED12,91.92,2001.0,0.162337662,0,AZD_200nM,0.2365700665481322 -1478,GGCCCAGTGGCTATGTGCACCAGCAGGCCC,MED12,91.92,2001.0,0.206709957,0,PLX_2uM,0.2365700665481322 -1479,GTGACAGTGGCTCTTTGTGTTATCTGGGTA,CD28,80.28,175.0,0.040540541,0,nodrug,0.1640325769164654 -1480,TCAGCAGTGGGGAAGGCTTCAGGCCGGTTG,MED12,37.67,820.0,0.9134199129999999,1,AZD_200nM,0.5942496583730806 -1481,TCAGCAGTGGGGAAGGCTTCAGGCCGGTTG,MED12,37.67,820.0,0.873376623,1,PLX_2uM,0.5942496583730806 -1482,AAAACAGTGTGCAGTTCCAGTTGGAGGCTG,CD5,12.75,63.0,0.8702928870000001,1,nodrug,0.6139188379524851 -1483,GTTCCAGTGTTCTCTTTGAGGACATGGAGA,MED12,31.14,678.0,0.023809524,0,AZD_200nM,0.43439059203134484 -1484,GTTCCAGTGTTCTCTTTGAGGACATGGAGA,MED12,31.14,678.0,0.011904762,0,PLX_2uM,0.43439059203134484 -1485,ATGTCAGTTCACGTCAAAACTGGAAGGAAT,CUL3,61.2,470.0,0.681818182,0,PLX_2uM,0.6676589217534702 -1486,TCCCCAGTTCATGGTTACTGGTTCCGGGAA,CD33,16.76,61.0,0.082251082,0,nodrug,0.29690978135195467 -1487,GTGACAGTTCTGCAGCCAGGGGCCGGGGAC,CD5,62.35,308.0,0.15899581599999998,0,nodrug,0.436065152139708 -1488,CGCACAGTTGCTGTGTGGCTTCGATGGAAA,CD5,87.04,430.0,0.17991631800000002,0,nodrug,0.4327816603342805 -1489,CCGACAGTTGGATAGGTGGCTGCAAGGTAT,NF1,88.24,2505.0,0.7540760870000001,0,PLX_2uM,0.5325982006576241 -1490,ATTCCAGTTGGGGTCTTCTGGAAGTGGGGT,CD13,26.78,259.0,0.375824176,0,nodrug,0.38072219763081266 -1491,CCACCAGTTTCTGCTGTCCCTTTGCGGTTC,MED12,36.06,785.0,0.084415584,0,AZD_200nM,0.40456493606777966 -1492,CCACCAGTTTCTGCTGTCCCTTTGCGGTTC,MED12,36.06,785.0,0.09307359300000001,0,PLX_2uM,0.40456493606777966 -1493,ACTTCATAAAGCAGTGCAAGGTTGTGGAGC,NF1,15.96,453.0,0.605978261,0,PLX_2uM,0.5239624213218677 -1494,ACACCATAAGGGCCGCTCCGACCCGGGCCC,MED12,83.0,1807.0,0.438311688,0,AZD_200nM,0.4985687108237538 -1495,ACACCATAAGGGCCGCTCCGACCCGGGCCC,MED12,83.0,1807.0,0.331168831,0,PLX_2uM,0.4985687108237538 -1496,TGCTCATAATCACCCCACGGCCCCAGGACC,CD33,55.77,203.0,0.582251082,0,nodrug,0.5768424626480378 -1497,TTTGCATACCTAATCATTATGCTGAGGATT,HPRT1,13.3,29.0,0.21875,0,6TG_2ug/mL,0.6366389798686476 -1498,CATTCATACCTGAAAGATGTCAGTTGGACA,CD45,15.66,177.0,0.7039711190000001,0,nodrug,0.6608403552740866 -1499,ATCTCATACTGGCTGTCCTTCACCAGGGAG,CD13,17.68,171.0,0.772527473,0,nodrug,0.5333439561325212 -1500,TTTTCATAGACTGTCCTGGGAAACTGGCTG,NF1,60.37,1714.0,0.637228261,0,PLX_2uM,0.3580371770550417 -1501,TCTGCATAGGAGGTGTCTTCAAACAGGACC,CCDC101,90.1,264.0,0.187919463,0,AZD_200nM,0.3402836021793396 -1502,GGATCATCAAAGGGAGAGGGAGGCCGGGGA,MED12,29.08,633.0,0.074675325,0,AZD_200nM,0.3752499148277276 -1503,GGATCATCAAAGGGAGAGGGAGGCCGGGGA,MED12,29.08,633.0,0.113636364,0,PLX_2uM,0.3752499148277276 -1504,CCCGCATCACAGGCACTGTGTATTTGGCTA,MED12,6.84,149.0,0.053030303,0,AZD_200nM,0.21671079403003993 -1505,CCCGCATCACAGGCACTGTGTATTTGGCTA,MED12,6.84,149.0,0.055194805,0,PLX_2uM,0.21671079403003993 -1506,GCTCCATCACCTCTTGGGGAGTCCGGGAAG,TADA2B,24.29,102.0,0.415789474,0,AZD_200nM,0.4773944088297654 -1507,TCAACATCACGCTTATCCACCCCAAGGACC,CD13,24.82,240.0,0.946153846,1,nodrug,0.7518685014102304 -1508,CGGTCATCACGGTGGATACCAGCACGGGGA,CD13,57.6,557.0,0.903296703,1,nodrug,0.7021212989584723 -1509,GGGTCATCAGCACCCCTCTGCGCATGGTCT,CCDC101,39.25,115.0,0.44966443,0,AZD_200nM,0.516653505537354 -1510,AGCCCATCAGTTTCTGTGGGGTCAGGGACA,CD43,13.42,53.0,0.239130435,0,nodrug,0.5479494439034401 -1511,ACAGCATCATCATCTGAGGAGATCTGGAGA,MED12,22.78,496.0,0.527056277,0,AZD_200nM,0.45649676189223315 -1512,ACAGCATCATCATCTGAGGAGATCTGGAGA,MED12,22.78,496.0,0.558441558,0,PLX_2uM,0.45649676189223315 -1513,TGTACATCCACGGGAACCTGGGGAAGGCCT,TADA2B,28.57,120.0,0.636842105,0,AZD_200nM,0.6259119372726489 -1514,GGGGCATCCAGGCGCACACTGCCGAGGAGG,CD15,49.06,260.0,0.32967033,0,nodrug,0.58158506316037 -1515,CATGCATCCATCCTCGTCCACTGCAGGTTA,CD45,87.96,994.0,0.5992779779999999,0,nodrug,0.5003640138627689 -1516,TGCTCATCCCCAGAGACAGCAGGCTGGTTA,MED12,2.25,49.0,0.608225108,0,AZD_200nM,0.6551211356573998 -1517,TGCTCATCCCCAGAGACAGCAGGCTGGTTA,MED12,2.25,49.0,0.5865800870000001,0,PLX_2uM,0.6551211356573998 -1518,GTGTCATCCCGCTGCCCCAGTGGAAGGCCA,CCDC101,73.72,216.0,0.973154362,1,AZD_200nM,0.5520657030171028 -1519,ACTTCATCCCTTCTGGGGAAGCCTTGGGAA,CD45,86.46,977.0,0.003610108,0,nodrug,0.32435612655043267 -1520,GCCTCATCCTCAACCAGGACCAGATGGCAC,MED12,43.32,943.0,0.880952381,1,AZD_200nM,0.6425857925939827 -1521,GCCTCATCCTCAACCAGGACCAGATGGCAC,MED12,43.32,943.0,0.8441558440000001,1,PLX_2uM,0.6425857925939827 -1522,GCATCATCCTGACCCTTGTACTCCTGGTGG,CD5,78.54,388.0,0.276150628,0,nodrug,0.3927140415843263 -1523,CTCCCATCGAATTGGCAAGGGCCTGGGGTC,CD5,46.96,232.0,0.041841004,0,nodrug,0.3963958855859079 -1524,GCCTCATCGACTTTGCCATTCAGGTGGGGA,MED12,41.11,895.0,0.7294372290000001,0,AZD_200nM,0.5690845777812898 -1525,GCCTCATCGACTTTGCCATTCAGGTGGGGA,MED12,41.11,895.0,0.662337662,0,PLX_2uM,0.5690845777812898 -1526,AGAACATCGCCAAGGCCACAATCGAGGTTT,MED12,63.71,1387.0,0.833333333,1,AZD_200nM,0.6963774123022147 -1527,AGAACATCGCCAAGGCCACAATCGAGGTTT,MED12,63.71,1387.0,0.803030303,1,PLX_2uM,0.6963774123022147 -1528,AGAACATCGCCCGTGACTACAATCTGGTGC,TADA2B,54.05,227.0,0.6894736840000001,0,AZD_200nM,0.5109110159499812 -1529,GAGCCATCGGAATCAAATATGCGCTGGGCA,MED12,46.67,1016.0,0.374458874,0,AZD_200nM,0.526527405240106 -1530,GAGCCATCGGAATCAAATATGCGCTGGGCA,MED12,46.67,1016.0,0.467532468,0,PLX_2uM,0.526527405240106 -1531,TGAGCATCGTAGACGCCAGGAGGAGGGATA,CD33,30.22,110.0,0.772727273,0,nodrug,0.6158654882558687 -1532,TACCCATCTATTCAAGCAAAAATATGGGGA,NF1,70.31,1996.0,0.08152173900000001,0,PLX_2uM,0.25735309011802465 -1533,ACCCCATCTCAGGGTGAGGGGCTCAGGCAG,H2-K,78.59,290.0,0.118343195,0,nodrug,0.3181382658015292 -1534,CTAGCATCTCGCAAGGTAGCATGGAGGAAA,MED12,73.77,1606.0,0.8311688309999999,1,AZD_200nM,0.7681649825287331 -1535,CTAGCATCTCGCAAGGTAGCATGGAGGAAA,MED12,73.77,1606.0,0.804112554,1,PLX_2uM,0.7681649825287331 -1536,GAAACATCTCGTACAGTGACAAGGAGGTAG,NF2,45.21,269.0,0.8206278029999999,1,PLX_2uM,0.7599721610232423 -1537,TGGGCATCTGTGGTGGTGCCTCTTGGGAAG,H2-K,73.71,272.0,0.076923077,0,nodrug,0.3197604315727352 -1538,CAGCCATCTTCAGTGCCAGCACCTCGGCTT,NF2,73.11,435.0,0.246636771,0,PLX_2uM,0.6138875358213917 -1539,GAAACATGAACATGGCCAGCTTCTCGGTGT,MED12,10.93,238.0,0.164502165,0,AZD_200nM,0.4075948966596949 -1540,GAAACATGAACATGGCCAGCTTCTCGGTGT,MED12,10.93,238.0,0.19372294399999998,0,PLX_2uM,0.4075948966596949 -1541,AGCACATGAAGACTATAGTAGAAATGGAGA,CUL3,36.2,278.0,0.305194805,0,PLX_2uM,0.40478663171254614 -1542,CTTGCATGACATGAACTGGTACAGCGGCCT,TADA2B,62.62,263.0,0.9157894740000001,1,AZD_200nM,0.7357847097593397 -1543,AACCCATGACGCCAGTCATGGTTGTGGGCA,MED12,86.4,1881.0,0.46969697,0,AZD_200nM,0.5111458525044162 -1544,AACCCATGACGCCAGTCATGGTTGTGGGCA,MED12,86.4,1881.0,0.5995670999999999,0,PLX_2uM,0.5111458525044162 -1545,GTACCATGACTCCAATGAGTGCCCAGGGCG,MED12,93.48,2035.0,0.154761905,0,AZD_200nM,0.3049901171016577 -1546,GTACCATGACTCCAATGAGTGCCCAGGGCG,MED12,93.48,2035.0,0.151515152,0,PLX_2uM,0.3049901171016577 -1547,AGTGCATGAGACCACTGTCTACGTTGGCAT,NF1,40.75,1157.0,0.554347826,0,PLX_2uM,0.709842220318678 -1548,GGTTCATGATGTCCCGCACGGTGGTGGGGA,CD13,55.33,535.0,0.705494505,0,nodrug,0.4500914606060341 -1549,CTACCATGCACCTCCGTACCTTCATGGGGC,CD13,74.35,719.0,0.324175824,0,nodrug,0.3495436890394249 -1550,TACACATGCCATGTGTACCATCAGGGGCTG,H2-K,77.24,285.0,0.585798817,0,nodrug,0.6502109664570211 -1551,AGCTCATGCGGGAAGCGATGGCCCCGGCCA,NF2,0.67,4.0,0.170403587,0,PLX_2uM,0.5543066969595971 -1552,TGCACATGCTGCACCAGAGGCAAGTGGTAT,MED12,39.83,867.0,0.753246753,0,AZD_200nM,0.7461912072473276 -1553,TGCACATGCTGCACCAGAGGCAAGTGGTAT,MED12,39.83,867.0,0.7987012990000001,0,PLX_2uM,0.7461912072473276 -1554,TGCCCATGCTTATTGCCTTGGTGGTGGTTT,CD43,65.57,259.0,0.47826087,0,nodrug,0.4839071018739572 -1555,TAAACATGGAGAAAAGCTCTACACTGGACT,CUL3,9.64,74.0,0.461038961,0,PLX_2uM,0.6222953080799308 -1556,CCAGCATGGCATCAATTCCAATGTAGGTAC,CD45,61.06,690.0,0.8014440429999999,1,nodrug,0.598582783964074 -1557,GGGTCATGGCCGACTGCTGCAGCAGGGTCA,CCDC101,41.98,123.0,0.872483221,1,AZD_200nM,0.6512718595578766 -1558,AGGACATGGCCGCGCACAGGCCGGTGGAAT,NF1,0.21,6.0,0.379076087,0,PLX_2uM,0.5829515048790362 -1559,CCAACATGGCGACCGTTGCTGTTCTGGTTG,H2-K,84.01,310.0,0.035502959,0,nodrug,0.1733681982627119 -1560,TTCTCATGGCGGCAGTCCAGGCGAAGGTTT,THY1,21.6,35.0,0.951612903,1,nodrug,0.5737633602806812 -1561,GAAGCATGGGATGAACCGGTCCGATGGCTC,MED12,44.19,962.0,0.79004329,0,AZD_200nM,0.6104361526855541 -1562,GAAGCATGGGATGAACCGGTCCGATGGCTC,MED12,44.19,962.0,0.847402597,1,PLX_2uM,0.6104361526855541 -1563,GGTTCATGGGGCCATTGGAGGAGCTGGTGT,CD33,72.53,264.0,0.41341991299999997,0,nodrug,0.36035032956884727 -1564,AGTTCATGGTTACTGGTTCCGGGAAGGAGC,CD33,17.03,62.0,0.67965368,0,nodrug,0.6412534257113361 -1565,AGATCATGGTTCCCGATACATAGCTGGAGA,NF2,50.25,299.0,0.529147982,0,PLX_2uM,0.5535146885953403 -1566,TGAGCATGTACATCCACGGGAACCTGGGGA,TADA2B,28.1,118.0,0.6105263160000001,0,AZD_200nM,0.42658444938062956 -1567,TTGGCATGTCATACCACTTGCCTCTGGTGC,MED12,39.87,868.0,0.457792208,0,AZD_200nM,0.4660771833763365 -1568,TTGGCATGTCATACCACTTGCCTCTGGTGC,MED12,39.87,868.0,0.507575758,0,PLX_2uM,0.4660771833763365 -1569,TCTCCATGTCCTCAAAGAGAACACTGGAAC,MED12,30.96,674.0,0.687229437,0,AZD_200nM,0.6491222894119947 -1570,TCTCCATGTCCTCAAAGAGAACACTGGAAC,MED12,30.96,674.0,0.7824675320000001,0,PLX_2uM,0.6491222894119947 -1571,CCAACATGTGACCGTGGACGTGTTCGGCCG,CD15,72.64,385.0,0.304029304,0,nodrug,0.4807014158385774 -1572,CAGTCATGTTGATCCATTCCTGTAGGGAGT,NF1,29.41,835.0,0.942934783,1,PLX_2uM,0.5811840092837137 -1573,AGATCATTAATGACGCCTTCAACCTGGCCA,CD13,68.98,667.0,0.7,0,nodrug,0.5495299599865519 -1574,AATACATTAATGCATCCTTTGTGATGGTAG,CD45,75.13,849.0,0.9494584840000001,1,nodrug,0.5366453257476644 -1575,CTATCATTCATATCCGGACCCGCTGGGAAC,NF1,64.46,1830.0,0.79076087,0,PLX_2uM,0.6145870348740574 -1576,TTAACATTCTTTAAAATAGTAGTGAGGCCG,NF1,2.08,59.0,0.641304348,0,PLX_2uM,0.6481156199247369 -1577,CCGACATTGACAAGACTGAGCTGGTGGAGC,CD13,16.03,155.0,0.7230769229999999,0,nodrug,0.6030254939268279 -1578,AGGGCATTGCAGACAAAGCTGTAGCGGTTA,MED12,48.28,1051.0,0.746753247,0,AZD_200nM,0.6758662947661521 -1579,AGGGCATTGCAGACAAAGCTGTAGCGGTTA,MED12,48.28,1051.0,0.731601732,0,PLX_2uM,0.6758662947661521 -1580,GTTCCATTGCTCCTCTCGTTGTCTAGGTAA,CD28,57.34,125.0,0.527027027,0,nodrug,0.46363818933806233 -1581,GTAACATTGGAATCGGGGTCAAGGAGGAAG,CD13,58.74,568.0,0.49670329700000004,0,nodrug,0.6500115796816308 -1582,CCTACATTGGAATTGATGCCATGCTGGAAG,CD45,61.5,695.0,0.6028880870000001,0,nodrug,0.5054031556669013 -1583,CGGTCATTGTTGAATGATTCCAGGAGGAAG,CUL3,46.48,357.0,0.642857143,0,PLX_2uM,0.7132716013469551 -1584,TCCTCATTTCCACACTTAGCATTTTGGACA,CD45,6.11,69.0,0.039711191,0,nodrug,0.12389488584742278 -1585,GCTGCATTTCCTGCTCAGCCTCTGCGGCCT,NF2,67.9,404.0,0.6367713,0,PLX_2uM,0.5855128035259071 -1586,CTATCCAAAAGCCAAAATGGAAGATGGCCA,NF1,28.18,800.0,0.244565217,0,PLX_2uM,0.5435138703537246 -1587,TCCACCAAACAGAAGATCTCGCCCTGGGAT,MED12,77.49,1687.0,0.83982684,1,AZD_200nM,0.5953935229384254 -1588,TCCACCAAACAGAAGATCTCGCCCTGGGAT,MED12,77.49,1687.0,0.738095238,0,PLX_2uM,0.5953935229384254 -1589,AATGCCAAACAGCAAGTAAAATTTGGGTAA,NF1,76.12,2161.0,0.12092391300000001,0,PLX_2uM,0.35841130948611377 -1590,TGTTCCAAACCAGCCCCAAGAGAGTGGTGC,MED12,78.14,1701.0,0.824675325,1,AZD_200nM,0.585972361162086 -1591,TGTTCCAAACCAGCCCCAAGAGAGTGGTGC,MED12,78.14,1701.0,0.80952381,1,PLX_2uM,0.585972361162086 -1592,TCATCCAAACCCAGCGCTGGCCCGGGGGCC,CD15,54.53,289.0,0.7179487179999999,0,nodrug,0.5327316652079005 -1593,AGCACCAAACGTAAAGCAGCAGTTTGGCCA,NF1,9.37,266.0,0.506793478,0,PLX_2uM,0.5001537551993019 -1594,GTGGCCAAACTGCTGCTTTACGTTTGGTGC,NF1,9.23,262.0,0.016304348,0,PLX_2uM,0.4363043944548842 -1595,ACACCCAAAGACAACAAGAGCTCTTGGTTG,NF1,79.18,2248.0,0.85326087,1,PLX_2uM,0.45506045084757163 -1596,ATGACCAACACCAGGTCACGGCTCAGGTGT,MED12,38.86,846.0,0.923160173,1,AZD_200nM,0.6224540204917457 -1597,ATGACCAACACCAGGTCACGGCTCAGGTGT,MED12,38.86,846.0,0.991341991,1,PLX_2uM,0.6224540204917457 -1598,GTCGCCAACCCCGTCGCGACCGGTGGGCGT,CD15,35.47,188.0,0.842490842,1,nodrug,0.6138557732036714 -1599,ACGACCAACCGCTGGTTGCACTCATGGCTG,MED12,34.41,749.0,0.312770563,0,AZD_200nM,0.48116502083795376 -1600,ACGACCAACCGCTGGTTGCACTCATGGCTG,MED12,34.41,749.0,0.288961039,0,PLX_2uM,0.48116502083795376 -1601,CCATCCAACTCCCCACCACCGTGCGGGACA,CD13,55.43,536.0,0.917582418,1,nodrug,0.6217646760704886 -1602,GCAACCAAGAGCTCTTGTTGTCTTTGGGTG,NF1,79.29,2251.0,0.192934783,0,PLX_2uM,0.15368140348850637 -1603,TTCTCCAAGAGGGAGTTCATCTCCTGGGGA,MED12,63.11,1374.0,0.7629870129999999,0,AZD_200nM,0.563276291063229 -1604,TTCTCCAAGAGGGAGTTCATCTCCTGGGGA,MED12,63.11,1374.0,0.7943722940000001,0,PLX_2uM,0.563276291063229 -1605,CGGGCCAAGATCCGAGAACTGCAGCGGTAC,TADA2B,69.52,292.0,0.8578947370000001,1,AZD_200nM,0.6431002417078577 -1606,CAAACCAAGGCACTAGGACAGCACAGGAGG,MED12,17.09,372.0,0.9361471859999999,1,AZD_200nM,0.7321985127545897 -1607,CAAACCAAGGCACTAGGACAGCACAGGAGG,MED12,17.09,372.0,0.9285714290000001,1,PLX_2uM,0.7321985127545897 -1608,GGCACCAAGGCTCGTCCCAGAAGGAGGTGA,CD15,94.15,499.0,0.985347985,1,nodrug,0.45037455831970824 -1609,GTTTCCAAGGGGGTCAAAGAAACTGGGATT,CD43,18.23,72.0,0.260869565,0,nodrug,0.5649061278973772 -1610,TGGTCCAAGGTGGTGGCCGAGGCGGGGTTG,CD13,6.2,60.0,0.446153846,0,nodrug,0.5575360999179648 -1611,TAATCCAAGTAAGCCATTCTCAAGAGGCAG,NF1,12.86,365.0,0.512228261,0,PLX_2uM,0.6289099228721144 -1612,ATTTCCAAGTCCCTGGGCATCCTGGGGATC,CD13,1.45,14.0,0.368131868,0,nodrug,0.5679450676866994 -1613,TGAACCAAGTGTTAATGGCACTCTGGGATC,MED12,5.1,111.0,0.36688311700000004,0,AZD_200nM,0.5190492210187078 -1614,TGAACCAAGTGTTAATGGCACTCTGGGATC,MED12,5.1,111.0,0.37012987,0,PLX_2uM,0.5190492210187078 -1615,TACACCACACTCTGCACAATTCCATGGATT,NF1,94.51,2683.0,0.32201087,0,PLX_2uM,0.3607613472516509 -1616,GGAACCACAGCCCCCACTTCCTGCAGGCCC,MED12,9.69,211.0,0.334415584,0,AZD_200nM,0.5488914999174077 -1617,GGAACCACAGCCCCCACTTCCTGCAGGCCC,MED12,9.69,211.0,0.514069264,0,PLX_2uM,0.5488914999174077 -1618,GTCACCACAGCTACTGGGTCTCTGGGGCCC,CD43,49.11,194.0,0.81884058,1,nodrug,0.6273544071053073 -1619,CTCCCCACAGGGATGAAGCTGAAATGGAAT,NF2,34.29,204.0,0.197309417,0,PLX_2uM,0.42312418403504704 -1620,AATTCCACCACACCTGTGCACCTCAGGCCT,CD5,34.21,169.0,0.476987448,0,nodrug,0.4875349482144731 -1621,GGCACCACCACAGATGCCCACTTCTGGAAG,H2-K,71.54,264.0,0.112426036,0,nodrug,0.2862976165021215 -1622,TTTTCCACCACCGCGACCTCGTGAAGGGGC,CD15,45.85,243.0,0.838827839,1,nodrug,0.5520241866599398 -1623,AAAGCCACCACCTAGAATCGAAAGGGGCTT,NF1,50.58,1436.0,0.84375,1,PLX_2uM,0.754995339143283 -1624,AGCACCACCAGGAGTACAAGGGTCAGGATG,CD5,77.94,385.0,0.585774059,0,nodrug,0.5226098449863491 -1625,TCAACCACCATGGACTGAACAAGTAGGAAA,NF1,12.15,345.0,0.929347826,1,PLX_2uM,0.6851750230983773 -1626,GCCCCCACCCAAGGAGAAGATTGAAGGGAC,MED12,32.98,718.0,0.399350649,0,AZD_200nM,0.49874164024406914 -1627,GCCCCCACCCAAGGAGAAGATTGAAGGGAC,MED12,32.98,718.0,0.49025974,0,PLX_2uM,0.49874164024406914 -1628,ATTTCCACCCAGTTCCAGCGCCAGGGGCTT,MED12,98.3,2140.0,0.060606060999999996,0,AZD_200nM,0.1494186471633857 -1629,ATTTCCACCCAGTTCCAGCGCCAGGGGCTT,MED12,98.3,2140.0,0.051948052,0,PLX_2uM,0.1494186471633857 -1630,AGGACCACCCTGTGCCCCTGGCTGAGGGTG,CD13,13.65,132.0,0.420879121,0,nodrug,0.44273157056498597 -1631,GCATCCACCGTGTGGAAGGAGATGAGGTCG,CD5,65.79,325.0,0.619246862,0,nodrug,0.6591186008669924 -1632,ACTGCCACCTCCTCCCTCCTCCTCTGGAAG,MED12,57.51,1252.0,0.257575758,0,AZD_200nM,0.4030444988792853 -1633,ACTGCCACCTCCTCCCTCCTCCTCTGGAAG,MED12,57.51,1252.0,0.26406926399999997,0,PLX_2uM,0.4030444988792853 -1634,GCTGCCACGCCCAGGAGGATCCCCAGGATG,CD13,1.55,15.0,0.35714285700000004,0,nodrug,0.5448382256565967 -1635,GATTCCACGCTTTACTTTGGTCCAAGGTGG,CD13,6.83,66.0,0.35714285700000004,0,nodrug,0.566997091828997 -1636,CATTCCACGGGAAGGAGATCTTGGGGGTCA,NF2,42.52,253.0,0.923766816,1,PLX_2uM,0.7794344968236596 -1637,CTGGCCACGTAGTCTCCTGAGGCAGGGATG,CCDC101,51.19,150.0,0.624161074,0,AZD_200nM,0.6631375540620008 -1638,TCAACCACGTCTTTGGATATATCCTGGATT,NF1,9.97,283.0,0.828804348,1,PLX_2uM,0.4952516715619537 -1639,TCGTCCACGTGGATGAAGGCGCCGCGGGGC,CD15,85.66,454.0,0.9560439559999999,1,nodrug,0.5558111286436073 -1640,TATTCCACTAAAGCCTGATGAATCAGGATA,CD45,64.69,731.0,0.17328519899999997,0,nodrug,0.441438695894863 -1641,ACAGCCACTCACCTGCCCACAGCAGGGGCA,CD33,2.75,10.0,0.8138528140000001,1,nodrug,0.6388233426629136 -1642,CTTCCCACTCGAGGCCAGCTTGAAGGGAGA,TADA1,45.37,152.0,0.146788991,0,AZD_200nM,0.5019795649248302 -1643,AGCACCACTCTCTTGGGGCTGGTTTGGAAC,MED12,78.27,1704.0,0.020562771,0,AZD_200nM,0.23880740427819938 -1644,AGCACCACTCTCTTGGGGCTGGTTTGGAAC,MED12,78.27,1704.0,0.046536797000000005,0,PLX_2uM,0.23880740427819938 -1645,GGATCCACTGCTCGTCCCCATCCACGGCCT,CCDC101,58.02,170.0,0.7315436240000001,0,AZD_200nM,0.5846350625817769 -1646,ACATCCACTTTGCCCTCTGCTTCCAGGCCT,CD45,61.95,700.0,0.032490975,0,nodrug,0.27970430770193144 -1647,GCTTCCAGAAAACAACGGCCCAGGAGGGCG,CD5,52.02,257.0,0.711297071,0,nodrug,0.6033768218695192 -1648,GCAACCAGAACAGCTTCAGTGTCAGGGTTC,NF1,24.62,699.0,0.207880435,0,PLX_2uM,0.6122528822186082 -1649,TTCCCCAGAACTACCTGAAGAAGCAGGTCA,CD13,74.87,724.0,0.556043956,0,nodrug,0.5638128478045952 -1650,TGTTCCAGAAGGAGCAGCTCGTGCTGGCCC,CCDC101,79.86,234.0,0.838926174,1,AZD_200nM,0.43576441122613124 -1651,TGAACCAGAAGGATAACTTCTGGCTGGTGA,MED12,4.73,103.0,0.12121212099999999,0,AZD_200nM,0.5807224242022168 -1652,TGAACCAGAAGGATAACTTCTGGCTGGTGA,MED12,4.73,103.0,0.10281385300000001,0,PLX_2uM,0.5807224242022168 -1653,CCTTCCAGAAGTGGGCATCTGTGGTGGTGC,H2-K,72.63,268.0,0.44378698200000005,0,nodrug,0.5486747219797459 -1654,ATCTCCAGACAAGAGCTACATTTATGGAAG,NF1,41.53,1179.0,0.008152174,0,PLX_2uM,0.21697832194241576 -1655,TGACCCAGAGCACAAGGAGGCTGAAGGCAG,MED12,29.81,649.0,0.9523809520000001,1,AZD_200nM,0.6010121284656231 -1656,TGACCCAGAGCACAAGGAGGCTGAAGGCAG,MED12,29.81,649.0,0.95021645,1,PLX_2uM,0.6010121284656231 -1657,GAGACCAGAGCAGGAGTGGTTCATGGGGCC,CD33,71.15,259.0,0.192640693,0,nodrug,0.4572714051706623 -1658,AGCGCCAGAGTGACAGGGACCTTATGGGCA,CD13,69.6,673.0,0.238461538,0,nodrug,0.3074517213524271 -1659,TGTACCAGATCCCACAGACTGATATGGCTG,NF1,8.49,241.0,0.460597826,0,PLX_2uM,0.40588236728887506 -1660,AGGACCAGATGGCACAGGTCTTTGAGGGGT,MED12,43.55,948.0,0.045454545,0,AZD_200nM,0.4131212872111747 -1661,AGGACCAGATGGCACAGGTCTTTGAGGGGT,MED12,43.55,948.0,0.053030303,0,PLX_2uM,0.4131212872111747 -1662,ATGACCAGCAAAGAAGTTAAGGATGGGGCC,CD13,33.61,325.0,0.717582418,0,nodrug,0.5844460914531204 -1663,GCTTCCAGCACCTTCTGCTCCATCAGGCGC,NF2,71.6,426.0,0.251121076,0,PLX_2uM,0.4240360941246794 -1664,AGGGCCAGCACGAGCTGCTCCTTCTGGAAC,CCDC101,78.5,230.0,0.073825503,0,AZD_200nM,0.24441406096978427 -1665,AACACCAGCAGCAACAGCAGCAACAGGCGG,MED12,97.47,2122.0,0.015151515,0,AZD_200nM,0.06182158147754244 -1666,AACACCAGCAGCAACAGCAGCAACAGGCGG,MED12,97.47,2122.0,0.0995671,0,PLX_2uM,0.06182158147754244 -1667,TGAGCCAGCAGCCCTTCTTATCGCTGGTGC,MED12,68.12,1483.0,0.122294372,0,AZD_200nM,0.42741392719638316 -1668,TGAGCCAGCAGCCCTTCTTATCGCTGGTGC,MED12,68.12,1483.0,0.08658008699999999,0,PLX_2uM,0.42741392719638316 -1669,GTCACCAGCCAGAAGTTATCCTTCTGGTTC,MED12,4.55,99.0,0.34199134200000003,0,AZD_200nM,0.41512366083243557 -1670,GTCACCAGCCAGAAGTTATCCTTCTGGTTC,MED12,4.55,99.0,0.480519481,0,PLX_2uM,0.41512366083243557 -1671,GCAGCCAGCCAGCTACCAAGACAGAGGTGA,MED12,82.64,1799.0,0.676406926,0,AZD_200nM,0.6303938443027056 -1672,GCAGCCAGCCAGCTACCAAGACAGAGGTGA,MED12,82.64,1799.0,0.557359307,0,PLX_2uM,0.6303938443027056 -1673,AATGCCAGCCCATCAGTTTCTGTGGGGTCA,CD43,12.91,51.0,0.811594203,1,nodrug,0.7261998931581234 -1674,GTAGCCAGCGAGTCATGAAAAGATAGGTCA,MED12,51.58,1123.0,0.938311688,1,AZD_200nM,0.597023593755294 -1675,GTAGCCAGCGAGTCATGAAAAGATAGGTCA,MED12,51.58,1123.0,0.924242424,1,PLX_2uM,0.597023593755294 -1676,AGCACCAGCGATAAGAAGGGCTGCTGGCTC,MED12,67.94,1479.0,0.47943722899999996,0,AZD_200nM,0.504010120552205 -1677,AGCACCAGCGATAAGAAGGGCTGCTGGCTC,MED12,67.94,1479.0,0.43181818200000005,0,PLX_2uM,0.504010120552205 -1678,AAACCCAGCGCTGGCCCGGGGGCCTGGGGC,CD15,54.15,287.0,0.014652015,0,nodrug,0.13895094959604687 -1679,ACCGCCAGCGCTTGGCAGCCAAGGAGGGGC,TADA1,98.21,329.0,0.009174311999999999,0,AZD_200nM,0.27776149509288317 -1680,TCCACCAGCTGGTAGCCGTGGTAGCGGCGG,TADA2B,11.43,48.0,0.357894737,0,AZD_200nM,0.5588473540375443 -1681,TCCCCCAGGAGACACACCCTGAGCCGGCGC,CCDC101,70.31,206.0,0.469798658,0,AZD_200nM,0.487734543413843 -1682,CTCCCCAGGAGATGAACTCCCTCTTGGAGA,MED12,63.3,1378.0,0.316017316,0,AZD_200nM,0.4920037592574437 -1683,CTCCCCAGGAGATGAACTCCCTCTTGGAGA,MED12,63.3,1378.0,0.327922078,0,PLX_2uM,0.4920037592574437 -1684,TAATCCAGGATATATCCAAAGACGTGGTTG,NF1,10.11,287.0,0.588315217,0,PLX_2uM,0.7118159471682672 -1685,CACACCAGGATCCACCCCAACCTGCGGTCC,CD13,81.9,792.0,0.934065934,1,nodrug,0.6743253870103373 -1686,GTCTCCAGGATTCAGAGGCACAATAGGAGC,MED12,36.61,797.0,0.213203463,0,AZD_200nM,0.3744899080412516 -1687,GTCTCCAGGATTCAGAGGCACAATAGGAGC,MED12,36.61,797.0,0.16558441599999998,0,PLX_2uM,0.3744899080412516 -1688,AGCCCCAGGCCCCCGGGCCAGCGCTGGGTT,CD15,54.91,291.0,0.076923077,0,nodrug,0.23285486725701762 -1689,GACCCCAGGCCCTTGCCAATTCGATGGGAG,CD5,47.77,236.0,0.30543933100000004,0,nodrug,0.5181209787174268 -1690,GCATCCAGGCGCACACTGCCGAGGAGGTGG,CD15,49.25,261.0,0.641025641,0,nodrug,0.6120244129909297 -1691,GTCACCAGGCTTCCCGATCCACAGGGGCAG,CCDC101,45.39,133.0,0.8255033559999999,1,AZD_200nM,0.7630917604103521 -1692,CCGGCCAGGGCCTGCAGGAAGTGGGGGCTG,MED12,9.74,212.0,0.452380952,0,AZD_200nM,0.5822477817371954 -1693,CCGGCCAGGGCCTGCAGGAAGTGGGGGCTG,MED12,9.74,212.0,0.632034632,0,PLX_2uM,0.5822477817371954 -1694,GATCCCAGGGCGAGATCTTCTGTTTGGTGG,MED12,77.31,1683.0,0.27597402600000004,0,AZD_200nM,0.3606186275992364 -1695,GATCCCAGGGCGAGATCTTCTGTTTGGTGG,MED12,77.31,1683.0,0.261904762,0,PLX_2uM,0.3606186275992364 -1696,GGAGCCAGGGCGGCCGCCAACAGCAGGAGC,H2-K,2.44,9.0,0.627218935,0,nodrug,0.5050944342526672 -1697,TGCCCCAGGGCGGGGGCCAGTCGGGGGGCC,CD15,46.79,248.0,0.41758241799999996,0,nodrug,0.31869216550658835 -1698,CACTCCAGGGTAAGTTGGTCGGGTGGGCAG,MED12,85.94,1871.0,0.534632035,0,AZD_200nM,0.5070582991803085 -1699,CACTCCAGGGTAAGTTGGTCGGGTGGGCAG,MED12,85.94,1871.0,0.45670995700000006,0,PLX_2uM,0.5070582991803085 -1700,GGCTCCAGGTAATAGGCGCGGGGCCGGGGC,MED12,79.65,1734.0,0.556277056,0,AZD_200nM,0.32277429485911946 -1701,GGCTCCAGGTAATAGGCGCGGGGCCGGGGC,MED12,79.65,1734.0,0.484848485,0,PLX_2uM,0.32277429485911946 -1702,AGACCCAGTAGCTGTGGTGACAGGGGGACC,CD43,47.34,187.0,0.565217391,0,nodrug,0.6859550412509791 -1703,AGCGCCAGTCAGACAGTCTGGAAAAGGTTC,MED12,75.01,1633.0,0.428571429,0,AZD_200nM,0.45547140264289304 -1704,AGCGCCAGTCAGACAGTCTGGAAAAGGTTC,MED12,75.01,1633.0,0.380952381,0,PLX_2uM,0.45547140264289304 -1705,TGTGCCAGTCTTGCAGGTGTCCCGAGGGCA,THY1,10.49,17.0,0.838709677,1,nodrug,0.5919690252791368 -1706,TTATCCAGTGGTTTAATAGTAAACTGGAAG,NF2,45.55,271.0,0.17937219699999998,0,PLX_2uM,0.4204578367565749 -1707,AGTACCAGTGTACCACATGGAAAGGGGAAG,CD45,84.25,952.0,0.837545126,1,nodrug,0.6255342511274555 -1708,TCTTCCAGTTTACTATTAAACCACTGGATA,NF2,46.22,275.0,0.38116591899999996,0,PLX_2uM,0.5526822571337173 -1709,ACTTCCATAAATGTAGCTCTTGTCTGGAGA,NF1,41.39,1175.0,0.498641304,0,PLX_2uM,0.45105885872121076 -1710,CACACCATAAGGGCCGCTCCGACCCGGGCC,MED12,83.05,1808.0,0.451298701,0,AZD_200nM,0.42433211816075417 -1711,CACACCATAAGGGCCGCTCCGACCCGGGCC,MED12,83.05,1808.0,0.350649351,0,PLX_2uM,0.42433211816075417 -1712,GTGCCCATAAGGTCCCTGTCACTCTGGCGC,CD13,70.01,677.0,0.7769230770000001,0,nodrug,0.48712335795216827 -1713,CCAGCCATATCAGTCTGTGGGATCTGGTAC,NF1,8.35,237.0,0.417119565,0,PLX_2uM,0.48589242180775877 -1714,TGCTCCATCACCTCTTGGGGAGTCCGGGAA,TADA2B,24.29,102.0,0.578947368,0,AZD_200nM,0.3838143313909421 -1715,TCTCCCATCAGAGTGAAGACCCACAGGAGG,CD33,78.3,285.0,0.636363636,0,nodrug,0.576864963517829 -1716,CAGCCCATCAGTTTCTGTGGGGTCAGGGAC,CD43,13.16,52.0,0.144927536,0,nodrug,0.34127685876153774 -1717,CCTCCCATCGAATTGGCAAGGGCCTGGGGT,CD5,46.96,232.0,0.09623431,0,nodrug,0.3552943111428407 -1718,GCAGCCATGAGTGCAACCAGCGGTTGGTCG,MED12,34.59,753.0,0.9675324679999999,1,AZD_200nM,0.6618666856110569 -1719,GCAGCCATGAGTGCAACCAGCGGTTGGTCG,MED12,34.59,753.0,0.980519481,1,PLX_2uM,0.6618666856110569 -1720,CAATCCATGGAATTGTGCAGAGTGTGGTGT,NF1,94.65,2687.0,0.8097826090000001,1,PLX_2uM,0.4183437935309394 -1721,ACTTCCATGTACCGGGGCTCCCCGAGGCCG,H2-K,10.57,39.0,0.852071006,1,nodrug,0.6571443826632192 -1722,GGACCCATTCCACCGGCCTGTGCGCGGCCA,NF1,0.14,4.0,0.706521739,0,PLX_2uM,0.5768478736479207 -1723,AGGACCATTCGAAAAATGCCCAGCAGGCCT,CD5,14.98,74.0,0.347280335,0,nodrug,0.5107530334426433 -1724,GTAGCCATTTAAAGAACAAATTTGGGGAGC,MED12,45.43,989.0,0.7164502159999999,0,AZD_200nM,0.6243550687523345 -1725,GTAGCCATTTAAAGAACAAATTTGGGGAGC,MED12,45.43,989.0,0.777056277,0,PLX_2uM,0.6243550687523345 -1726,TCTACCCAAGATCCCATAACCACCAGGTCA,CD43,60.51,239.0,0.8768115940000001,1,nodrug,0.6375094498707052 -1727,TAGGCCCACACCTGAGCCGTGACCTGGTGT,MED12,38.77,844.0,0.94047619,1,AZD_200nM,0.5971378323342104 -1728,TAGGCCCACACCTGAGCCGTGACCTGGTGT,MED12,38.77,844.0,0.882034632,1,PLX_2uM,0.5971378323342104 -1729,CCTTCCCACAGCGGCCAAGATTGCCGGTCT,CCDC101,34.13,100.0,0.080536913,0,AZD_200nM,0.39501545363516527 -1730,AAGACCCACAGGAGGAAAGCAGCCAGGACA,CD33,79.67,290.0,0.11038961,0,nodrug,0.5213420087555957 -1731,CCTCCCCACCATCACCATGGCCAAGGGCTT,CD13,0.21,2.0,0.773626374,0,nodrug,0.6093735278158046 -1732,GCTGCCCACCCGACCAACTTACCCTGGAGT,MED12,86.08,1874.0,0.380952381,0,AZD_200nM,0.5172927831731347 -1733,GCTGCCCACCCGACCAACTTACCCTGGAGT,MED12,86.08,1874.0,0.39177489200000004,0,PLX_2uM,0.5172927831731347 -1734,CACGCCCACCGGTCGCGACGGGGTTGGCGA,CD15,34.91,185.0,0.46153846200000004,0,nodrug,0.5227018531093016 -1735,CGCGCCCACGTGGACATGTACGTGCGGAAG,TADA2B,50.0,210.0,0.9736842109999999,1,AZD_200nM,0.7300503445188081 -1736,GCTTCCCACTCGAGGCCAGCTTGAAGGGAG,TADA1,45.07,151.0,0.073394495,0,AZD_200nM,0.3909326069763945 -1737,CGATCCCAGAGTGCCATTAACACTTGGTTC,MED12,5.28,115.0,0.24783549800000002,0,AZD_200nM,0.4913345286924964 -1738,CGATCCCAGAGTGCCATTAACACTTGGTTC,MED12,5.28,115.0,0.310606061,0,PLX_2uM,0.4913345286924964 -1739,TCCTCCCAGATTGCAGCTGGTGCCAGGACA,CD5,32.79,162.0,0.029288703,0,nodrug,0.42772624114776975 -1740,CACACCCAGCAATACGAATGGCACCGGTAA,NF1,16.31,463.0,0.4375,0,PLX_2uM,0.6376096445519774 -1741,TGGACCCAGCATGCCCCAAAGAGGAGGAGA,CD43,2.03,8.0,0.855072464,1,nodrug,0.5857380275014278 -1742,AGGCCCCAGCCGCGGCCGCTTCAGGGGCCG,MED12,0.69,15.0,0.545454545,0,AZD_200nM,0.47530886362865266 -1743,AGGCCCCAGCCGCGGCCGCTTCAGGGGCCG,MED12,0.69,15.0,0.642857143,0,PLX_2uM,0.47530886362865266 -1744,CAGGCCCAGGACACAGAGCAGGTCAGGTTT,CD33,44.51,162.0,0.454545455,0,nodrug,0.42668349213751716 -1745,GGCCCCCAGGCTCACCGGGTACGTGGGCTT,NF2,80.84,481.0,0.668161435,0,PLX_2uM,0.5382084128789216 -1746,CCACCCCAGGGCGCCTCAGTCCTCAGGATG,CD13,50.05,484.0,0.12857142900000001,0,nodrug,0.45698582683073913 -1747,ATGCCCCAGGGCGGGGGCCAGTCGGGGGGC,CD15,46.79,248.0,0.622710623,0,nodrug,0.25951896928900275 -1748,GAGACCCAGTAGCTGTGGTGACAGGGGGAC,CD43,47.34,187.0,0.7753623190000001,0,nodrug,0.6293812932757088 -1749,AAGACCCAGTGTTGAGTAGTGCCCAGGCGC,MED12,60.4,1315.0,0.04004329,0,AZD_200nM,0.5748697961064307 -1750,AAGACCCAGTGTTGAGTAGTGCCCAGGCGC,MED12,60.4,1315.0,0.057359307000000005,0,PLX_2uM,0.5748697961064307 -1751,CAATCCCAGTTTCTTTGACCCCCTTGGAAA,CD43,19.24,76.0,0.152173913,0,nodrug,0.4284024038534267 -1752,TGTGCCCATCACATCCATCAGAGATGGCAG,CD13,61.22,592.0,0.8780219779999999,1,nodrug,0.5879685495996929 -1753,CGTCCCCATCCACGGCCTTCACCCGGGCAG,CCDC101,56.66,166.0,0.657718121,0,AZD_200nM,0.5983899833392925 -1754,GGGCCCCATCCTTAACTTCTTTGCTGGTCA,CD13,33.92,328.0,0.123076923,0,nodrug,0.2335187566974653 -1755,CCTCCCCATTCAACTGCCAGGTCAGGGTGA,H2-K,64.23,237.0,0.33727810700000005,0,nodrug,0.520505128995253 -1756,TCTTCCCATTGACATAGGCAAGTAGGGACA,CD45,25.31,286.0,0.613718412,0,nodrug,0.537432516699283 -1757,AGCCCCCCAAAACTGACAAACCGGGGGCTG,MED12,81.4,1772.0,0.511904762,0,AZD_200nM,0.6016142046703403 -1758,AGCCCCCCAAAACTGACAAACCGGGGGCTG,MED12,81.4,1772.0,0.39718614700000004,0,PLX_2uM,0.6016142046703403 -1759,AGCTCCCCAAATTTGTTCTTTAAATGGCTA,MED12,45.25,985.0,0.038961038999999996,0,AZD_200nM,0.13012202718715915 -1760,AGCTCCCCAAATTTGTTCTTTAAATGGCTA,MED12,45.25,985.0,0.014069264,0,PLX_2uM,0.13012202718715915 -1761,ATCTCCCCAACTTCCCCACCTGAATGGCAA,MED12,41.11,895.0,0.24242424199999998,0,AZD_200nM,0.5077797325261714 -1762,ATCTCCCCAACTTCCCCACCTGAATGGCAA,MED12,41.11,895.0,0.215367965,0,PLX_2uM,0.5077797325261714 -1763,CCAGCCCCAAGAGAGTGGTGCTGACGGCTT,MED12,78.0,1698.0,0.560606061,0,AZD_200nM,0.4769373220053252 -1764,CCAGCCCCAAGAGAGTGGTGCTGACGGCTT,MED12,78.0,1698.0,0.511904762,0,PLX_2uM,0.4769373220053252 -1765,GGTGCCCCACACAGACGTGCATAAGGGCAT,MED12,48.64,1059.0,0.788961039,0,AZD_200nM,0.5579523002383504 -1766,GGTGCCCCACACAGACGTGCATAAGGGCAT,MED12,48.64,1059.0,0.726190476,0,PLX_2uM,0.5579523002383504 -1767,CTGACCCCACAGAAACTGATGGGCTGGCAT,CD43,11.9,47.0,0.101449275,0,nodrug,0.4866736872952483 -1768,GTTTCCCCACAGGGGCCCTGGCTATGGATC,CD33,4.4,16.0,0.305194805,0,nodrug,0.38868141417534247 -1769,AGGGCCCCAGAGACCCAGTAGCTGTGGTGA,CD43,48.1,190.0,0.586956522,0,nodrug,0.6395578661059262 -1770,GAGGCCCCAGCCGCGGCCGCTTCAGGGGCC,MED12,0.69,15.0,0.300865801,0,AZD_200nM,0.2752303848478776 -1771,GAGGCCCCAGCCGCGGCCGCTTCAGGGGCC,MED12,0.69,15.0,0.269480519,0,PLX_2uM,0.2752303848478776 -1772,TGGGCCCCAGGACTACTCACTCCTCGGTGC,CD33,53.3,194.0,0.792207792,0,nodrug,0.5560495280884932 -1773,GGATCCCCAGGATGCCCAGGGACTTGGAAA,CD13,1.03,10.0,0.125274725,0,nodrug,0.3842492112083785 -1774,CCGCCCCCAGGCCCACACTCGCTGAGGTAT,H2-K,7.05,26.0,0.49704142,0,nodrug,0.6422064799357582 -1775,TGGCCCCCAGGCTCACCGGGTACGTGGGCT,NF2,80.84,481.0,0.66367713,0,PLX_2uM,0.46135004673598495 -1776,GATGCCCCAGGGCGGGGGCCAGTCGGGGGG,CD15,46.98,249.0,0.047619048,0,nodrug,0.2047829792248319 -1777,TACACCCCATACCTATCGGGATCATGGTGC,MED12,49.01,1067.0,0.47402597399999996,0,AZD_200nM,0.49072825776425594 -1778,TACACCCCATACCTATCGGGATCATGGTGC,MED12,49.01,1067.0,0.505411255,0,PLX_2uM,0.49072825776425594 -1779,TCGTCCCCATCCACGGCCTTCACCCGGGCA,CCDC101,56.66,166.0,0.20134228199999998,0,AZD_200nM,0.373197052058516 -1780,TCCTCCCCATTCAACTGCCAGGTCAGGGTG,H2-K,64.23,237.0,0.195266272,0,nodrug,0.3127115392139455 -1781,GAGCCCCCCAAAACTGACAAACCGGGGGCT,MED12,81.4,1772.0,0.48917748899999997,0,AZD_200nM,0.5691834166322539 -1782,GAGCCCCCCAAAACTGACAAACCGGGGGCT,MED12,81.4,1772.0,0.47619047600000003,0,PLX_2uM,0.5691834166322539 -1783,CTGACCCCCAAGATCTCCTTCCCGTGGAAT,NF2,43.19,257.0,0.7264573990000001,0,PLX_2uM,0.6392410627484317 -1784,GCTGCCCCCACCTCCCTGGGCCCCAGGACT,CD33,51.92,189.0,0.19913419899999998,0,nodrug,0.42175380777669186 -1785,ACAGCCCCCACTTCCTGCAGGCCCTGGCCG,MED12,9.6,209.0,0.411255411,0,AZD_200nM,0.46388018109918083 -1786,ACAGCCCCCACTTCCTGCAGGCCCTGGCCG,MED12,9.6,209.0,0.359307359,0,PLX_2uM,0.46388018109918083 -1787,AGAGCCCCCCAAAACTGACAAACCGGGGGC,MED12,81.35,1771.0,0.544372294,0,AZD_200nM,0.4763248520672347 -1788,AGAGCCCCCCAAAACTGACAAACCGGGGGC,MED12,81.35,1771.0,0.5,0,PLX_2uM,0.4763248520672347 -1789,GGGCCCCCCGACTGGCCCCCGCCCTGGGGC,CD15,47.55,252.0,0.31868131899999996,0,nodrug,0.24517353217192167 -1790,TTCCCCCCCTAGACAAATAGTAGAAGGAAC,CD28,82.57,180.0,0.243243243,0,nodrug,0.38656496018641306 -1791,TGGTCCCCCTGTCACCACAGCTACTGGGTC,CD43,48.1,190.0,0.202898551,0,nodrug,0.28255547639925194 -1792,GGCCCCCCGACTGGCCCCCGCCCTGGGGCA,CD15,47.55,252.0,0.164835165,0,nodrug,0.222357517173368 -1793,CCAACCCCGCCTCGGCCACCACCTTGGACC,CD13,6.62,64.0,0.131868132,0,nodrug,0.48478102652663274 -1794,GCCACCCCGGAAGACCATGCGCAGAGGGGT,CCDC101,39.25,115.0,0.496644295,0,AZD_200nM,0.596059019964035 -1795,AGGCCCCCGGGCCAGCGCTGGGTTTGGATG,CD15,55.28,293.0,0.813186813,1,nodrug,0.3722307389497474 -1796,CCTCCCCCGGGTTCCTCTGTGCCCAGGAGA,CD5,69.23,342.0,0.552301255,0,nodrug,0.45631966000210233 -1797,TTCTCCCCTACTATGCCCTGTGAGGGGAAG,MED12,31.88,694.0,0.8170995670000001,1,AZD_200nM,0.6144851943595946 -1798,TTCTCCCCTACTATGCCCTGTGAGGGGAAG,MED12,31.88,694.0,0.796536797,0,PLX_2uM,0.6144851943595946 -1799,CCTTCCCCTCACAGGGCATAGTAGGGGAGA,MED12,31.69,690.0,0.405844156,0,AZD_200nM,0.6400531929095383 -1800,CCTTCCCCTCACAGGGCATAGTAGGGGAGA,MED12,31.69,690.0,0.375541126,0,PLX_2uM,0.6400531929095383 -1801,CTGACCCCTCCCCCCACAGTGGTTCGGGAA,CD13,40.74,394.0,0.07032967,0,nodrug,0.34917620078927336 -1802,AGCACCCCTCTGCGCATGGTCTTCCGGGGT,CCDC101,38.23,112.0,0.040268456,0,AZD_200nM,0.12487210840148177 -1803,CCGGCCCCTGAAGCGGCCGCGGCTGGGGCC,MED12,0.83,18.0,0.41666666700000005,0,AZD_200nM,0.31657402266483353 -1804,CCGGCCCCTGAAGCGGCCGCGGCTGGGGCC,MED12,0.83,18.0,0.296536797,0,PLX_2uM,0.31657402266483353 -1805,GTCACCCCTGGGGCAGGTACAGCGAGGTTA,CD13,77.77,752.0,0.7010989009999999,0,nodrug,0.6689707114654679 -1806,GGTCCCCCTGTCACCACAGCTACTGGGTCT,CD43,48.35,191.0,0.246376812,0,nodrug,0.49014610592979474 -1807,CCTGCCCCTGTGGATCGGGAAGCCTGGTGA,CCDC101,46.42,136.0,0.006711409000000001,0,AZD_200nM,0.3892235932438328 -1808,TCTTCCCCTTTCCATGTGGTACACTGGTAC,CD45,83.89,948.0,0.342960289,0,nodrug,0.4431867196283586 -1809,CAAGCCCCTTTCGATTCTAGGTGGTGGCTT,NF1,50.48,1433.0,0.361413043,0,PLX_2uM,0.513705599561416 -1810,GCCCCCCGACTGGCCCCCGCCCTGGGGCAT,CD15,47.55,252.0,0.604395604,0,nodrug,0.5355753783920959 -1811,GCTCCCCGAGGCCGGGCCGGGACACGGCGG,H2-K,9.21,34.0,0.42011834299999995,0,nodrug,0.3283231751636781 -1812,ATGTCCCGCACGGTGGTGGGGAGTTGGATG,CD13,55.02,532.0,0.736263736,0,nodrug,0.5004814643948243 -1813,TGGCCCCGCCACTGTCCAGGAAACAGGGGC,CD15,66.6,353.0,0.761904762,0,nodrug,0.35109432642850563 -1814,TGGGCCCGCCTAGTACCTACCTGTAGGATA,MED12,16.86,367.0,0.996753247,1,AZD_200nM,0.7354849248883415 -1815,TGGGCCCGCCTAGTACCTACCTGTAGGATA,MED12,16.86,367.0,0.992424242,1,PLX_2uM,0.7354849248883415 -1816,GGTACCCGCGGAGGAGTCGCCCGTCGGACC,H2-K,34.69,128.0,0.674556213,0,nodrug,0.6195969972131893 -1817,TCCACCCGCTCACTCTCACTTCGAGGGTCC,MED12,26.87,585.0,0.571428571,0,AZD_200nM,0.5433967976959208 -1818,TCCACCCGCTCACTCTCACTTCGAGGGTCC,MED12,26.87,585.0,0.593073593,0,PLX_2uM,0.5433967976959208 -1819,CCCACCCGCTGTCCACACCCGCCTCGGAGA,CD13,47.47,459.0,0.46043956,0,nodrug,0.5141283395513307 -1820,CCACCCCGGAAGACCATGCGCAGAGGGGTG,CCDC101,39.59,116.0,0.342281879,0,AZD_200nM,0.47622958906678753 -1821,GATGCCCGGAATTCCTTTGCGAGAAGGTTG,CD28,22.02,48.0,0.18918918899999998,0,nodrug,0.5517908170648044 -1822,GCTGCCCGGGTGAAGGCCGTGGATGGGGAC,CCDC101,58.02,170.0,0.24832214800000002,0,AZD_200nM,0.3970177808811571 -1823,CCCACCCGTGAACCACAGGGGATGCGGAAC,MED12,56.59,1232.0,0.308441558,0,AZD_200nM,0.5167444564944953 -1824,CCCACCCGTGAACCACAGGGGATGCGGAAC,MED12,56.59,1232.0,0.322510823,0,PLX_2uM,0.5167444564944953 -1825,CACACCCTACCCACTCCCAAAATCAGGTGA,CD13,35.16,340.0,0.124175824,0,nodrug,0.4298175104449257 -1826,GTGTCCCTACTTGCCTATGTCAATGGGAAG,CD45,25.66,290.0,0.400722022,0,nodrug,0.4971286552003441 -1827,TTTACCCTCAGGACCCCAAACAGAAGGAGG,MED12,1.42,31.0,0.566017316,0,AZD_200nM,0.5973100637053127 -1828,TTTACCCTCAGGACCCCAAACAGAAGGAGG,MED12,1.42,31.0,0.57034632,0,PLX_2uM,0.5973100637053127 -1829,TGACCCCTCCCCCCACAGTGGTTCGGGAAC,CD13,40.85,395.0,0.076923077,0,nodrug,0.3039165280163481 -1830,CGGACCCTCGAAGTGAGAGTGAGCGGGTGG,MED12,27.06,589.0,0.651515152,0,AZD_200nM,0.5815393406854072 -1831,CGGACCCTCGAAGTGAGAGTGAGCGGGTGG,MED12,27.06,589.0,0.792207792,0,PLX_2uM,0.5815393406854072 -1832,GCACCCCTCTGCGCATGGTCTTCCGGGGTG,CCDC101,38.23,112.0,0.020134228,0,AZD_200nM,0.19318840266663834 -1833,CCTCCCCTCTGGAGGCTGAATACCAGGTAG,CD45,68.5,774.0,0.328519856,0,nodrug,0.40914445845113245 -1834,CGGCCCCTGAAGCGGCCGCGGCTGGGGCCT,MED12,0.87,19.0,0.415584416,0,AZD_200nM,0.38019779161552625 -1835,CGGCCCCTGAAGCGGCCGCGGCTGGGGCCT,MED12,0.87,19.0,0.477272727,0,PLX_2uM,0.38019779161552625 -1836,GGAACCCTGACACTGAAGCTGTTCTGGTTG,NF1,24.76,703.0,0.11005434800000001,0,PLX_2uM,0.3317182385841055 -1837,ATCACCCTGACCTGGCAGTTGAATGGGGAG,H2-K,65.31,241.0,0.25443787,0,nodrug,0.3620776937935145 -1838,TGCTCCCTGAGCATCGTAGACGCCAGGAGG,CD33,29.67,108.0,0.359307359,0,nodrug,0.520779469180939 -1839,CGGACCCTGAGGCCTTGTTCCAGAAGGAGC,CCDC101,78.16,229.0,0.067114094,0,AZD_200nM,0.5038806202550314 -1840,CACCCCCTGATGATGCTGAGCAGCAGGCTG,TADA1,76.12,255.0,0.256880734,0,AZD_200nM,0.37033218196621237 -1841,CCATCCCTGCCTCAGGAGACTACGTGGCCA,CCDC101,52.56,154.0,0.483221477,0,AZD_200nM,0.667550443614273 -1842,GAAGCCCTGGCGACCTCCAGCCCCAGGCCC,CD15,53.77,285.0,0.402930403,0,nodrug,0.5052936918351284 -1843,CAGCCCCTGTTTCCTGGACAGTGGCGGGGC,CD15,66.04,350.0,0.8608058609999999,1,nodrug,0.510751882981066 -1844,AATGCCCTTATGCACGTCTGTGTGGGGCAC,MED12,48.83,1063.0,0.925324675,1,AZD_200nM,0.6769893232508983 -1845,AATGCCCTTATGCACGTCTGTGTGGGGCAC,MED12,48.83,1063.0,0.872294372,1,PLX_2uM,0.6769893232508983 -1846,TTCTCCCTTCAAGCTGGCCTCGAGTGGGAA,TADA1,44.18,148.0,0.42201834899999996,0,AZD_200nM,0.47511027291096314 -1847,TTTTCCCTTCAGAAAACAAGATTTTGGTAA,CD28,10.09,22.0,0.648648649,0,nodrug,0.2954174225811303 -1848,TTTTCCCTTCCGGAGAGAGGCTCCAGGAGT,NF1,23.11,656.0,0.573369565,0,PLX_2uM,0.4727874181587388 -1849,AATACCCTTCCTGACACTGGTCGCAGGAAG,MED12,4.18,91.0,0.689393939,0,AZD_200nM,0.5902906220119389 -1850,AATACCCTTCCTGACACTGGTCGCAGGAAG,MED12,4.18,91.0,0.6504329000000001,0,PLX_2uM,0.5902906220119389 -1851,GGGTCCGACGGGCGACTCCTCCGCGGGTAC,H2-K,35.77,132.0,0.75147929,0,nodrug,0.6026540930629152 -1852,AGGCCCGAGCACCCTCTTACCTGTGGGCTC,CD5,31.38,155.0,0.263598326,0,nodrug,0.6195131579601532 -1853,AGCACCGAGGAGTGAGTAGTCCTGGGGCCC,CD33,52.2,190.0,0.7813852809999999,0,nodrug,0.7121486128277805 -1854,ATCTCCGAGGCGGGTGTGGACAGCGGGTGG,CD13,47.05,455.0,0.69010989,0,nodrug,0.45047068185978173 -1855,GCTTCCGCACGTACATGTCCACGTGGGCGC,TADA2B,49.05,206.0,0.878947368,1,AZD_200nM,0.7294720177737586 -1856,TGGACCGCAGGTTGGGGTGGATCCTGGTGT,CD13,81.49,788.0,0.40989011,0,nodrug,0.34526151004439776 -1857,GGCCCCGCCACTGTCCAGGAAACAGGGGCT,CD15,66.6,353.0,0.897435897,1,nodrug,0.5533592647064182 -1858,TTCACCGCCAGCGCTTGGCAGCCAAGGAGG,TADA1,97.91,328.0,0.018348623999999997,0,AZD_200nM,0.20810863769705112 -1859,ACTGCCGCCATGAGAATAACACCAAGGATA,THY1,27.16,44.0,0.7419354840000001,0,nodrug,0.750555626785322 -1860,TGGCCCGCCGCAATGGCACTGGGCCGGGCC,CD13,31.64,306.0,0.48021978,0,nodrug,0.337704644629523 -1861,CGCTCCGCCTCGCGTGCTTCCTGCAGGTCC,NF2,77.14,459.0,0.5067264570000001,0,PLX_2uM,0.400222859004885 -1862,ATGGCCGCGCACAGGCCGGTGGAATGGGTC,NF1,0.28,8.0,0.434782609,0,PLX_2uM,0.4128280753940737 -1863,TGCCCCGCGGCGCCTTCATCCACGTGGACG,CD15,86.42,458.0,0.750915751,0,nodrug,0.5720380933974014 -1864,ACCGCCGCTACCACGGCTACCAGCTGGTGG,TADA2B,12.38,52.0,0.763157895,0,AZD_200nM,0.5487982109799983 -1865,CCACCCGCTCCTTGTTGCTGCTGGAGGAGG,CD13,38.88,376.0,0.16043956,0,nodrug,0.5737369839868887 -1866,CCTTCCGCTGAGCCTGATCTGCCTAGGTGG,CD5,26.72,132.0,0.874476987,1,nodrug,0.5539871285808401 -1867,GGTACCGCTGCAGTTCTCGGATCTTGGCCC,TADA2B,68.57,288.0,0.057894737,0,AZD_200nM,0.3562066163112189 -1868,GAACCCGCTGTGTTGGTTTACCACAGGCGA,CUL3,82.94,637.0,0.33766233799999995,0,PLX_2uM,0.5565033182958029 -1869,CACCCCGGAAGACCATGCGCAGAGGGGTGC,CCDC101,39.59,116.0,0.946308725,1,AZD_200nM,0.7138230162676603 -1870,CTTCCCGGACTCCCCAAGAGGTGATGGAGC,TADA2B,25.24,106.0,0.563157895,0,AZD_200nM,0.5306796948526487 -1871,GGGCCCGGCCCAGTGCCATTGCGGCGGGCC,CD13,32.06,310.0,0.796703297,0,nodrug,0.4837429469793308 -1872,GGCCCCGGCCCCGCGCCTATTACCTGGAGC,MED12,79.83,1738.0,0.076839827,0,AZD_200nM,0.3206379921387567 -1873,GGCCCCGGCCCCGCGCCTATTACCTGGAGC,MED12,79.83,1738.0,0.015151515,0,PLX_2uM,0.3206379921387567 -1874,TGGACCGGCGAGTGGCTCGAGGAGAGGAGC,MED12,78.87,1717.0,0.5865800870000001,0,AZD_200nM,0.5238177659421105 -1875,TGGACCGGCGAGTGGCTCGAGGAGAGGAGC,MED12,78.87,1717.0,0.681818182,0,PLX_2uM,0.5238177659421105 -1876,GGCGCCGGCTCAGGGTGTGTCTCCTGGGGG,CCDC101,68.94,202.0,0.275167785,0,AZD_200nM,0.23841191116080965 -1877,GGCACCGGCTGCCCCGGCCCGCCCCGGCCG,CD15,73.4,389.0,0.428571429,0,nodrug,0.35743312963350254 -1878,GAGGCCGGGGACCAGGGGCTCCAAAGGCAA,MED12,28.8,627.0,0.344155844,0,AZD_200nM,0.4380745365919993 -1879,GAGGCCGGGGACCAGGGGCTCCAAAGGCAA,MED12,28.8,627.0,0.369047619,0,PLX_2uM,0.4380745365919993 -1880,TCGGCCGGGGCGGGCCGGGGCAGCCGGTGC,CD15,74.15,393.0,0.124542125,0,nodrug,0.2137617426307076 -1881,GGGCCCGGGTCGGAGCGGCCCTTATGGTGT,MED12,83.19,1811.0,0.014069264,0,AZD_200nM,0.21861355278728298 -1882,GGGCCCGGGTCGGAGCGGCCCTTATGGTGT,MED12,83.19,1811.0,0.043290043,0,PLX_2uM,0.21861355278728298 -1883,CTGCCCGGGTGAAGGCCGTGGATGGGGACG,CCDC101,58.02,170.0,0.771812081,0,AZD_200nM,0.4807214421902448 -1884,CTTACCGGTGCCATTCGTATTGCTGGGTGT,NF1,16.17,459.0,0.47554347799999996,0,PLX_2uM,0.5517466352412435 -1885,TAGCCCGTCACATTGAGGTTCAGCAGGACC,CD13,64.32,622.0,0.413186813,0,nodrug,0.5473677461664092 -1886,GAAGCCGTCAGCACCACTCTCTTGGGGCTG,MED12,78.14,1701.0,0.435064935,0,AZD_200nM,0.4741964803756509 -1887,GAAGCCGTCAGCACCACTCTCTTGGGGCTG,MED12,78.14,1701.0,0.41991342,0,PLX_2uM,0.4741964803756509 -1888,AAGGCCGTGGATGGGGACGAGCAGTGGATC,CCDC101,59.39,174.0,0.47651006700000004,0,AZD_200nM,0.5577971986678191 -1889,ACCGCCGTGTCCCGGCCCGGCCTCGGGGAG,H2-K,10.3,38.0,0.071005917,0,nodrug,0.2422084888133539 -1890,GGTACCTAAGAATGTCAGGTCTCCAGGATT,MED12,36.89,803.0,0.135281385,0,AZD_200nM,0.444231033789545 -1891,GGTACCTAAGAATGTCAGGTCTCCAGGATT,MED12,36.89,803.0,0.15259740300000002,0,PLX_2uM,0.444231033789545 -1892,TTTTCCTACTTGTTCAGTCCATGGTGGTTG,NF1,12.29,349.0,0.819293478,1,PLX_2uM,0.7274607168890074 -1893,TTACCCTAGCCAACTTCACCACCAAGGATG,THY1,59.88,97.0,0.919354839,1,nodrug,0.7160202046243961 -1894,CCCACCTAGGCAGATCAGGCTCAGCGGAAG,CD5,26.11,129.0,0.9623430959999999,1,nodrug,0.6931798993823927 -1895,TGCTCCTATTGTGCCTCTGAATCCTGGAGA,MED12,36.75,800.0,0.148268398,0,AZD_200nM,0.43897973150684005 -1896,TGCTCCTATTGTGCCTCTGAATCCTGGAGA,MED12,36.75,800.0,0.271645022,0,PLX_2uM,0.43897973150684005 -1897,AGGACCTCAAACAGAAGCTTCCCAAGGCTT,CD45,86.28,975.0,0.628158845,0,nodrug,0.5821978419157766 -1898,AATTCCTCAAACTTTGAACTGGTAAGGTTA,NF1,55.13,1565.0,0.055706522,0,PLX_2uM,0.49412119036251134 -1899,TACCCCTCAAAGACCTGTGCCATCTGGTCC,MED12,43.36,944.0,0.204545455,0,AZD_200nM,0.4968166382991405 -1900,TACCCCTCAAAGACCTGTGCCATCTGGTCC,MED12,43.36,944.0,0.24675324699999998,0,PLX_2uM,0.4968166382991405 -1901,TGCACCTCAAGGGCTCCCTGGTGAAGGACA,CD13,17.68,171.0,0.9010989009999999,1,nodrug,0.5708954149770865 -1902,TTCTCCTCACTAGACTTGACCCACAGGCCC,CD33,39.29,143.0,0.742424242,0,nodrug,0.6232040838836608 -1903,ACACCCTCAGCCAGGGGCACAGGGTGGTCC,CD13,14.06,136.0,0.618681319,0,nodrug,0.7490140675790878 -1904,GTGGCCTCATCGACTTTGCCATTCAGGTGG,MED12,41.07,894.0,0.083333333,0,AZD_200nM,0.16926357252565982 -1905,GTGGCCTCATCGACTTTGCCATTCAGGTGG,MED12,41.07,894.0,0.04004329,0,PLX_2uM,0.16926357252565982 -1906,GCGACCTCATCTCCTTCCACACGGTGGATG,CD5,66.6,329.0,0.5606694560000001,0,nodrug,0.6699092495602252 -1907,TCCTCCTCCAGCAGCAACAAGGAGCGGGTG,CD13,39.3,380.0,0.48351648399999997,0,nodrug,0.586124547955499 -1908,TCCACCTCCTCGGCAGTGTGCGCCTGGATG,CD15,48.49,257.0,0.267399267,0,nodrug,0.3925083711990797 -1909,TTCTCCTCCTCTTTGGGGCATGCTGGGTCC,CD43,3.04,12.0,0.043478261,0,nodrug,0.38769023622961085 -1910,CTGACCTCCTGCAGGTGGTCCCACAGGTTC,CD13,53.57,518.0,0.089010989,0,nodrug,0.5052770889568149 -1911,ATCACCTCCTTCTGGGACGAGCCTTGGTGC,CD15,94.91,503.0,0.032967033,0,nodrug,0.3060008877756231 -1912,AGCCCCTCCTTGGCTGCCAAGCGCTGGCGG,TADA1,97.01,325.0,0.036697247999999995,0,AZD_200nM,0.17160557830923998 -1913,CTGCCCTCGGGACACCTGCAAGACTGGCAC,THY1,8.64,14.0,0.37096774200000004,0,nodrug,0.4561982846173513 -1914,CCGGCCTCGGGGAGCCCCGGTACATGGAAG,H2-K,11.65,43.0,0.5739644970000001,0,nodrug,0.43977399117382565 -1915,CCTCCCTCTACAGCCAGGTGCACCAGGTAC,MED12,69.27,1508.0,0.356060606,0,AZD_200nM,0.4700088921340835 -1916,CCTCCCTCTACAGCCAGGTGCACCAGGTAC,MED12,69.27,1508.0,0.433982684,0,PLX_2uM,0.4700088921340835 -1917,TGCTCCTCTCCTCGAGCCACTCGCCGGTCC,MED12,78.69,1713.0,0.640692641,0,AZD_200nM,0.4795292476185293 -1918,TGCTCCTCTCCTCGAGCCACTCGCCGGTCC,MED12,78.69,1713.0,0.812770563,1,PLX_2uM,0.4795292476185293 -1919,GGAGCCTCTCTCCGGAAGGGAAAAGGGAAC,NF1,23.32,662.0,0.644021739,0,PLX_2uM,0.46020426606693837 -1920,CACCCCTCTGCGCATGGTCTTCCGGGGTGG,CCDC101,38.23,112.0,0.630872483,0,AZD_200nM,0.6486367393343409 -1921,CTCACCTCTGTCTTGGTAGCTGGCTGGCTG,MED12,82.45,1795.0,0.621212121,0,AZD_200nM,0.4370672258749743 -1922,CTCACCTCTGTCTTGGTAGCTGGCTGGCTG,MED12,82.45,1795.0,0.544372294,0,PLX_2uM,0.4370672258749743 -1923,ACTGCCTCTTGAGAATGGCTTACTTGGATT,NF1,12.75,362.0,0.023097826000000002,0,PLX_2uM,0.3682695870583651 -1924,ACTCCCTCTTGGAGAACATCGCCAAGGCCA,MED12,63.53,1383.0,0.922077922,1,AZD_200nM,0.6861120257299307 -1925,ACTCCCTCTTGGAGAACATCGCCAAGGCCA,MED12,63.53,1383.0,0.9491341990000001,1,PLX_2uM,0.6861120257299307 -1926,AAGACCTGAAAACGTGGACGGCGGCGGACA,H2-K,42.28,156.0,0.36094674600000004,0,nodrug,0.5454718381526287 -1927,CCCACCTGAATGGCAAAGTCGATGAGGCCA,MED12,40.88,890.0,0.758658009,0,AZD_200nM,0.6455560481719603 -1928,CCCACCTGAATGGCAAAGTCGATGAGGCCA,MED12,40.88,890.0,0.793290043,0,PLX_2uM,0.6455560481719603 -1929,TGTCCCTGACCCCACAGAAACTGATGGGCT,CD43,12.41,49.0,0.543478261,0,nodrug,0.5869296444393249 -1930,TCATCCTGACCCTTGTACTCCTGGTGGTGC,CD5,78.74,389.0,0.8870292890000001,1,nodrug,0.608022592105291 -1931,AAAACCTGACCTGCTCTGTGTCCTGGGCCT,CD33,45.6,166.0,0.248917749,0,nodrug,0.4810144572738271 -1932,TCACCCTGACCTGGCAGTTGAATGGGGAGG,H2-K,65.31,241.0,0.414201183,0,nodrug,0.6571518898349086 -1933,CGGGCCTGAGCCCCGCGCCATGGCCGGGGC,NF2,0.17,1.0,0.112107623,0,PLX_2uM,0.24871173423667944 -1934,CACACCTGAGCCGTGACCTGGTGTTGGTCA,MED12,38.68,842.0,0.99025974,1,AZD_200nM,0.6914274039617639 -1935,CACACCTGAGCCGTGACCTGGTGTTGGTCA,MED12,38.68,842.0,0.9783549779999999,1,PLX_2uM,0.6914274039617639 -1936,GCATCCTGAGGACTGAGGCGCCCTGGGGTG,CD13,49.64,480.0,0.589010989,0,nodrug,0.38488587236983723 -1937,AAGGCCTGAGGTGCACAGGTGTGGTGGAAT,CD5,35.02,173.0,0.757322176,0,nodrug,0.6039784809022879 -1938,AGCGCCTGATGGAGCAGAAGGTGCTGGAAG,NF2,72.27,430.0,0.69955157,0,PLX_2uM,0.4560100827518607 -1939,ATATCCTGATTCATCAGGCTTTAGTGGAAT,CD45,65.04,735.0,0.064981949,0,nodrug,0.3251433408533926 -1940,AGGACCTGCAGGAAGCACGCGAGGCGGAGC,NF2,77.82,463.0,0.856502242,1,PLX_2uM,0.5999836644775931 -1941,AGGGCCTGCAGGAAGTGGGGGCTGTGGTTC,MED12,9.83,214.0,0.243506494,0,AZD_200nM,0.4637272314013515 -1942,AGGGCCTGCAGGAAGTGGGGGCTGTGGTTC,MED12,9.83,214.0,0.294372294,0,PLX_2uM,0.4637272314013515 -1943,TCCTCCTGCAGTTTCTGGATACACAGGCTC,MED12,26.46,576.0,0.885281385,1,AZD_200nM,0.6025535006693664 -1944,TCCTCCTGCAGTTTCTGGATACACAGGCTC,MED12,26.46,576.0,0.807359307,1,PLX_2uM,0.6025535006693664 -1945,CTTTCCTGCCTCAGGATGAACTGACGGCCT,MED12,1.65,36.0,0.538961039,0,AZD_200nM,0.5847731249596381 -1946,CTTTCCTGCCTCAGGATGAACTGACGGCCT,MED12,1.65,36.0,0.494588745,0,PLX_2uM,0.5847731249596381 -1947,GCTTCCTGCGACCAGTGTCAGGAAGGGTAT,MED12,4.0,87.0,0.633116883,0,AZD_200nM,0.6410930316685168 -1948,GCTTCCTGCGACCAGTGTCAGGAAGGGTAT,MED12,4.0,87.0,0.594155844,0,PLX_2uM,0.6410930316685168 -1949,CTACCCTGCTAGAGCCTGAGAAAAAGGCTC,MED12,80.89,1761.0,0.058441558,0,AZD_200nM,0.19574686525311624 -1950,CTACCCTGCTAGAGCCTGAGAAAAAGGCTC,MED12,80.89,1761.0,0.017316017,0,PLX_2uM,0.19574686525311624 -1951,GGGTCCTGCTGAACCTCAATGTGACGGGCT,CD13,64.74,626.0,0.674725275,0,nodrug,0.5451075326147226 -1952,GCAGCCTGCTGCTCAGCATCATCAGGGGGT,TADA1,74.93,251.0,0.39449541299999996,0,AZD_200nM,0.48327373169478993 -1953,TGCTCCTGCTGTTGGCGGCCGCCCTGGCTC,H2-K,3.52,13.0,0.384615385,0,nodrug,0.44971284428455066 -1954,GTGACCTGCTTCTTCAGGTAGTTCTGGGGA,CD13,74.46,720.0,0.20879120899999998,0,nodrug,0.15198288080500938 -1955,AAATCCTGCTTCTTTACAGGTTATTGGAAG,NF1,72.21,2050.0,0.254076087,0,PLX_2uM,0.14432243381028506 -1956,AAGGCCTGGAAGCAGAGGGCAAAGTGGATG,CD45,62.3,704.0,0.80866426,1,nodrug,0.692304513413502 -1957,TTGGCCTGGACGGCGTAAGAAGCCAGGAGC,NF2,23.87,142.0,0.757847534,0,PLX_2uM,0.5674862092565469 -1958,GAATCCTGGAGACCTGACATTCTTAGGTAC,MED12,37.02,806.0,0.08008658,0,AZD_200nM,0.2847370396408851 -1959,GAATCCTGGAGACCTGACATTCTTAGGTAC,MED12,37.02,806.0,0.045454545,0,PLX_2uM,0.2847370396408851 -1960,TACTCCTGGAGCCTCTCTCCGGAAGGGAAA,NF1,23.21,659.0,0.274456522,0,PLX_2uM,0.635697883041743 -1961,GTGTCCTGGCACCAGCTGCAATCTGGGAGG,CD5,32.19,159.0,0.322175732,0,nodrug,0.43951274010363606 -1962,TCCTCCTGGCGTCTACGATGCTCAGGGAGC,CD33,28.57,104.0,0.8939393940000001,1,nodrug,0.6356165818085073 -1963,CTGTCCTGGCTGCTTTCCTCCTGTGGGTCT,CD33,78.57,286.0,0.393939394,0,nodrug,0.4395273023252388 -1964,TGCACCTGGCTGTAGAGGGAGGTAAGGAGT,MED12,68.95,1501.0,0.49025974,0,AZD_200nM,0.5133274131215179 -1965,TGCACCTGGCTGTAGAGGGAGGTAAGGAGT,MED12,68.95,1501.0,0.510822511,0,PLX_2uM,0.5133274131215179 -1966,TGCTCCTGGCTTCTTACGCCGTCCAGGCCA,NF2,24.54,146.0,0.556053812,0,PLX_2uM,0.5204292889060835 -1967,CGCTCCTGGGAACACTTACTGTTCTGGTTC,CD5,86.03,425.0,0.146443515,0,nodrug,0.2774940030911688 -1968,TTCTCCTGGGCACAGAGGAACCCGGGGGAG,CD5,68.42,338.0,0.564853556,0,nodrug,0.619602191103779 -1969,TGCGCCTGGGCACTACTCAACACTGGGTCT,MED12,60.22,1311.0,0.05952381,0,AZD_200nM,0.5838332219214596 -1970,TGCGCCTGGGCACTACTCAACACTGGGTCT,MED12,60.22,1311.0,0.088744589,0,PLX_2uM,0.5838332219214596 -1971,GCATCCTGGGGATCCTCCTGGGCGTGGCAG,CD13,1.96,19.0,0.058241758,0,nodrug,0.4628924203023826 -1972,TAGTCCTGGGGCCCAGGGAGGTGGGGGCAG,CD33,50.82,185.0,0.25974026,0,nodrug,0.3875767561464091 -1973,GGGGCCTGGGGCTGGAGGTCGCCAGGGCTT,CD15,53.02,281.0,0.93040293,1,nodrug,0.5567879079509601 -1974,GCTACCTGGTATTCAGCCTCCAGAGGGGAG,CD45,68.14,770.0,0.909747292,1,nodrug,0.560991091380998 -1975,TGTACCTGGTGCACCTGGCTGTAGAGGGAG,MED12,69.09,1504.0,0.35281385299999996,0,AZD_200nM,0.45646142519660476 -1976,TGTACCTGGTGCACCTGGCTGTAGAGGGAG,MED12,69.09,1504.0,0.324675325,0,PLX_2uM,0.45646142519660476 -1977,GTGACCTGGTGGTTATGGGATCTTGGGTAG,CD43,59.49,235.0,0.39130434799999997,0,nodrug,0.4692155464062043 -1978,TCTTCCTGTGCCTGCAGAAGGAGTTGGGGG,MED12,74.55,1623.0,0.29004329,0,AZD_200nM,0.28762445490594624 -1979,TCTTCCTGTGCCTGCAGAAGGAGTTGGGGG,MED12,74.55,1623.0,0.224025974,0,PLX_2uM,0.28762445490594624 -1980,TCCTCCTGTGCTGTCCTAGTGCCTTGGTTT,MED12,17.27,376.0,0.7218614720000001,0,AZD_200nM,0.5481693634932259 -1981,TCCTCCTGTGCTGTCCTAGTGCCTTGGTTT,MED12,17.27,376.0,0.742424242,0,PLX_2uM,0.5481693634932259 -1982,TGAACCTGTGGGACCACCTGCAGGAGGTCA,CD13,53.98,522.0,0.735164835,0,nodrug,0.6990486331501844 -1983,CTCGCCTGTGGTAAACCAACACAGCGGGTT,CUL3,83.46,641.0,0.7012987009999999,0,PLX_2uM,0.6974964125203434 -1984,GGAGCCTGTGTATCCAGAAACTGCAGGAGG,MED12,26.27,572.0,0.930735931,1,AZD_200nM,0.6615441851452074 -1985,GGAGCCTGTGTATCCAGAAACTGCAGGAGG,MED12,26.27,572.0,0.927489177,1,PLX_2uM,0.6615441851452074 -1986,GCCGCCTGTTGCTGCTGTTGCTGCTGGTGT,MED12,97.29,2118.0,0.08982684,0,AZD_200nM,0.15072056264865863 -1987,GCCGCCTGTTGCTGCTGTTGCTGCTGGTGT,MED12,97.29,2118.0,0.13203463199999999,0,PLX_2uM,0.15072056264865863 -1988,AGCCCCTGTTTCCTGGACAGTGGCGGGGCC,CD15,65.85,349.0,0.450549451,0,nodrug,0.3775800813865651 -1989,TTTTCCTTACAGGAAGAGCGTTCGCGGAGC,CCDC101,9.9,29.0,0.429530201,0,AZD_200nM,0.5665302661824292 -1990,TTAACCTTACCAGTTCAAAGTTTGAGGAAT,NF1,55.27,1569.0,0.096467391,0,PLX_2uM,0.4251594774243309 -1991,CTCTCCTTACCCCATCTCAGGGTGAGGGGC,H2-K,79.13,292.0,0.171597633,0,nodrug,0.42675444887435143 -1992,GACTCCTTACCTCCCTCTACAGCCAGGTGC,MED12,69.13,1505.0,0.6980519479999999,0,AZD_200nM,0.5424894644551584 -1993,GACTCCTTACCTCCCTCTACAGCCAGGTGC,MED12,69.13,1505.0,0.9004329,1,PLX_2uM,0.5424894644551584 -1994,TCCTCCTTAGGCTTCACCATTGGACGGGTA,MED12,20.85,454.0,0.734848485,0,AZD_200nM,0.5965529923695198 -1995,TCCTCCTTAGGCTTCACCATTGGACGGGTA,MED12,20.85,454.0,0.707792208,0,PLX_2uM,0.5965529923695198 -1996,TCTCCCTTCAAGCTGGCCTCGAGTGGGAAG,TADA1,44.18,148.0,0.49541284399999996,0,AZD_200nM,0.5889640530884259 -1997,GGTCCCTTCAATCTTCTCCTTGGGTGGGGG,MED12,32.84,715.0,0.34956709999999996,0,AZD_200nM,0.4205511882324764 -1998,GGTCCCTTCAATCTTCTCCTTGGGTGGGGG,MED12,32.84,715.0,0.33658008700000003,0,PLX_2uM,0.4205511882324764 -1999,CTGTCCTTCACCAGGGAGCCCTTGAGGTGC,CD13,17.27,167.0,0.47802197799999996,0,nodrug,0.5277381714961428 -2000,GGCCCCTTCACGAGGTCGCGGTGGTGGAAA,CD15,45.09,239.0,0.7838827840000001,0,nodrug,0.4786584643061734 -2001,GCTGCCTTCAGCCTCCTTGTGCTCTGGGTC,MED12,29.67,646.0,0.21861471899999999,0,AZD_200nM,0.2724712355790442 -2002,GCTGCCTTCAGCCTCCTTGTGCTCTGGGTC,MED12,29.67,646.0,0.225108225,0,PLX_2uM,0.2724712355790442 -2003,ACAACCTTCTCGCAAAGGAATTCCGGGCAT,CD28,23.85,52.0,0.22972973,0,nodrug,0.36750200014294454 -2004,TGCTCCTTCTGGAACAAGGCCTCAGGGTCC,CCDC101,76.79,225.0,0.597315436,0,AZD_200nM,0.4637992378354196 -2005,ACCTCCTTCTGTTTGGGGTCCTGAGGGTAA,MED12,1.24,27.0,0.445887446,0,AZD_200nM,0.528018945077079 -2006,ACCTCCTTCTGTTTGGGGTCCTGAGGGTAA,MED12,1.24,27.0,0.415584416,0,PLX_2uM,0.528018945077079 -2007,ACCACCTTGGACCAAAGTAAAGCGTGGAAT,CD13,7.24,70.0,0.8780219779999999,1,nodrug,0.7196646687270282 -2008,GTGGCCTTGGCGATGTTCTCCAAGAGGGAG,MED12,63.34,1379.0,0.62987013,0,AZD_200nM,0.7109534884681399 -2009,GTGGCCTTGGCGATGTTCTCCAAGAGGGAG,MED12,63.34,1379.0,0.6158008660000001,0,PLX_2uM,0.7109534884681399 -2010,CCCTCCTTGGCTGCCAAGCGCTGGCGGTGA,TADA1,96.72,324.0,0.183486239,0,AZD_200nM,0.2747126913506995 -2011,GAAGCCTTGGGAAGCTTCTGTTTGAGGTCC,CD45,85.93,971.0,0.144404332,0,nodrug,0.27131424420156264 -2012,TCATCCTTGGTGGTGAAGTTGGCTAGGGTA,THY1,57.41,93.0,0.661290323,0,nodrug,0.47303680119618663 -2013,TTATCCTTGGTGTTATTCTCATGGCGGCAG,THY1,24.69,40.0,0.8870967740000001,1,nodrug,0.6792780049433874 -2014,CTTGCCTTTGGAGCCCCTGGTCCCCGGCCT,MED12,28.98,631.0,0.864718615,1,AZD_200nM,0.5087105023106983 -2015,CTTGCCTTTGGAGCCCCTGGTCCCCGGCCT,MED12,28.98,631.0,0.7781385279999999,0,PLX_2uM,0.5087105023106983 -2016,TCTACGAAAAGCTCTTGCTGGCCATGGAGG,NF1,10.88,309.0,0.073369565,0,PLX_2uM,0.4931593545174702 -2017,GTGACGAAATACCTCAGCGAGTGTGGGCCT,H2-K,6.5,24.0,0.834319527,1,nodrug,0.6449380917959366 -2018,GGGTCGAACAGCAGGGAGTTCTCCCGGTAG,CD13,37.64,364.0,0.492307692,0,nodrug,0.6072186407108104 -2019,TTTTCGAACGCACCTCCTTCTGTTTGGGGT,MED12,1.42,31.0,0.087662338,0,AZD_200nM,0.25271073312740777 -2020,TTTTCGAACGCACCTCCTTCTGTTTGGGGT,MED12,1.42,31.0,0.081168831,0,PLX_2uM,0.25271073312740777 -2021,AAAACGAACTAGATTTGACAGCCATGGAGT,NF1,68.79,1953.0,0.7472826090000001,0,PLX_2uM,0.5618484257057591 -2022,CCAGCGAACTTCACCTGACAGGTCAGGTTG,CD33,57.97,211.0,0.761904762,0,nodrug,0.5667216887204769 -2023,TGAACGAAGACCTGAAAACGTGGACGGCGG,H2-K,41.73,154.0,0.905325444,1,nodrug,0.6751461111524287 -2024,TCATCGAAGCATGGGAAGGACTTCCGGGCA,CD13,22.65,219.0,0.36923076899999996,0,nodrug,0.3001505815352141 -2025,GAGGCGAAGCCCTCGTTCAGCCACAGGTCA,CD13,42.19,408.0,0.674725275,0,nodrug,0.5613707446586472 -2026,TCGTCGAAGCGGCTGACCACGGCCTGGACC,NF1,0.42,12.0,0.798913043,0,PLX_2uM,0.49901986419662253 -2027,GACTCGAAGGAGACCATCAGCCCCTGGGGG,CD43,16.2,64.0,0.333333333,0,nodrug,0.5245427519020857 -2028,CCGTCGAAGTTTGAGGAGCAGGTGAGGGTC,CD45,58.05,656.0,0.415162455,0,nodrug,0.5415131827746826 -2029,GAGGCGAATGTCCCATGTGAGTGGAGGAGG,NF1,28.92,821.0,0.255434783,0,PLX_2uM,0.5914830194407428 -2030,CCCCCGACATTGACAAGACTGAGCTGGTGG,CD13,15.93,154.0,0.618681319,0,nodrug,0.5849976765723831 -2031,ACTACGACCCCAGTGTTCACAAGCGGGGAT,NF2,26.72,159.0,0.7533632290000001,0,PLX_2uM,0.5501949067605072 -2032,TCACCGACCGCGCGTCCTACGGAGAGGCTC,CD15,43.4,230.0,0.9010989009999999,1,nodrug,0.7237094049324626 -2033,GTGGCGACCTCATCTCCTTCCACACGGTGG,CD5,66.4,328.0,0.828451883,1,nodrug,0.6454467152302378 -2034,TCGCCGACGGCGGCGGCGGGCGGGCGGCGC,CD15,26.23,139.0,0.010989011000000002,0,nodrug,0.39610851420762455 -2035,GTCGCGACGGGGTTGGCGACGCCCAGGGCA,CD15,34.15,181.0,0.593406593,0,nodrug,0.45510768333848756 -2036,ACATCGACTGCTGGACAATGAGGATGGGGA,MED12,61.28,1334.0,0.37662337700000004,0,AZD_200nM,0.511690365985489 -2037,ACATCGACTGCTGGACAATGAGGATGGGGA,MED12,61.28,1334.0,0.34848484799999996,0,PLX_2uM,0.511690365985489 -2038,CTAACGAGACCAGTGGACCCTCTGTGGCTA,CD43,43.8,173.0,0.6521739129999999,0,nodrug,0.7026411825667027 -2039,AATCCGAGATATGAGCCGCGGGCGCGGTGG,H2-K,18.97,70.0,0.532544379,0,nodrug,0.5802157842905623 -2040,TTTTCGAGATCAAGTTGTACGTTATGGGTG,CUL3,19.92,153.0,0.175324675,0,PLX_2uM,0.29785154580467577 -2041,ACGCCGAGATGGAGTTCAATTGCGAGGTAA,NF2,6.22,37.0,0.928251121,1,PLX_2uM,0.6689398001552731 -2042,TCCCCGAGATGGGGGTCTACCTGGTGGGCC,CD13,40.64,393.0,0.6373626370000001,0,nodrug,0.549594690859821 -2043,TGCTCGAGATGTGATGAAGGAGATGGGAGG,HPRT1,25.69,56.0,0.484375,0,6TG_2ug/mL,0.6163405803338683 -2044,AGATCGAGCAGCAGATCAAGGAGCGGGGAC,MED12,19.75,430.0,0.384199134,0,AZD_200nM,0.5087381669526282 -2045,AGATCGAGCAGCAGATCAAGGAGCGGGGAC,MED12,19.75,430.0,0.36796536799999996,0,PLX_2uM,0.5087381669526282 -2046,GGGACGAGCAGTGGATCCTGGCCGAGGTGG,CCDC101,60.75,178.0,0.268456376,0,AZD_200nM,0.539417450654386 -2047,GTGGCGAGCCCAGACAGTCTGCAGAGGACG,CD43,5.82,23.0,0.702898551,0,nodrug,0.6798192866281428 -2048,TCGGCGAGCCCCACGGTGCCCCCATGGCGC,CD15,23.96,127.0,0.424908425,0,nodrug,0.48905286537667986 -2049,CATTCGAGCGAAACTGGGGCTGATAGGTAA,CD28,34.86,76.0,0.35135135100000003,0,nodrug,0.423053926424794 -2050,AGATCGAGCTGAAGCGCGCCCACGTGGACA,TADA2B,48.81,205.0,0.657894737,0,AZD_200nM,0.616921017987664 -2051,ACGCCGAGGAGAGACTCACCGGAAAGGCCC,CUL3,2.86,22.0,0.993506494,1,PLX_2uM,0.675479307657438 -2052,TCACCGAGGAGGAGGCAAAACTTCTGGCCC,NF2,66.72,397.0,0.28251121100000004,0,PLX_2uM,0.3794331372694794 -2053,AGTACGAGGCAGCGCGGCATAAACGGGAGA,TADA2B,74.76,314.0,0.089473684,0,AZD_200nM,0.38412538091734194 -2054,GCCCCGAGGCCGCCCCCTGACTGCCGGCTG,CD15,39.81,211.0,0.831501832,1,nodrug,0.4506812467796607 -2055,CGCACGAGGGATGAGTTGGAGAGGAGGCTG,NF2,60.17,358.0,0.29147982100000003,0,PLX_2uM,0.6044002172398621 -2056,TGAACGAGGGCTTCGCCTCCTACGTGGAGT,CD13,43.02,416.0,0.832967033,1,nodrug,0.6867260175736181 -2057,GAGTCGAGGGTGTGCTGCTAGTTGGGGGCT,MED12,15.53,338.0,0.743506494,0,AZD_200nM,0.5501634252696319 -2058,GAGTCGAGGGTGTGCTGCTAGTTGGGGGCT,MED12,15.53,338.0,0.824675325,1,PLX_2uM,0.5501634252696319 -2059,GCTCCGAGGTCTATGGCCCCATGAAGGTAC,CD13,74.25,718.0,0.567032967,0,nodrug,0.5166731035587506 -2060,AAGCCGAGGTGCTGGCACTGAAGATGGCTG,NF2,73.78,439.0,0.286995516,0,PLX_2uM,0.4503489979995257 -2061,ACTTCGAGTCGCCCTCGCACTCCCCGGGGC,CD15,57.17,303.0,0.35897435899999997,0,nodrug,0.44423611110568856 -2062,CTTTCGAGTGAGCCCAGGCCTCCGGGGAGT,CD28,89.91,196.0,0.689189189,0,nodrug,0.5044126639130836 -2063,AGCCCGAGTGCCTTCCTCCATGCTTGGCCA,CD45,52.65,595.0,0.49458483799999997,0,nodrug,0.5134217329201826 -2064,AATGCGATATTGAGCAGTGTCCCAGGGACA,NF1,65.23,1852.0,0.6521739129999999,0,PLX_2uM,0.7058850760465898 -2065,CAGCCGATCCATAAATTTGCTGACAGGTGT,NF1,31.42,892.0,0.172554348,0,PLX_2uM,0.5580297601276878 -2066,TGCTCGATCTCCCGCAACTTTGCACGGACC,MED12,19.25,419.0,0.194805195,0,AZD_200nM,0.5671851666018798 -2067,TGCTCGATCTCCCGCAACTTTGCACGGACC,MED12,19.25,419.0,0.196969697,0,PLX_2uM,0.5671851666018798 -2068,CTGCCGATGACCCAGAGCACAAGGAGGCTG,MED12,29.72,647.0,0.931818182,1,AZD_200nM,0.7669112103786598 -2069,CTGCCGATGACCCAGAGCACAAGGAGGCTG,MED12,29.72,647.0,0.8993506490000001,1,PLX_2uM,0.7669112103786598 -2070,CTGGCGATGATGTCATAGAGGAACTGGTAT,CD45,92.48,1045.0,0.527075812,0,nodrug,0.424531888023133 -2071,ACGGCGATTATGCCCTGAACGTGACGGGCC,CD13,33.09,320.0,0.024175824,0,nodrug,0.597702155610775 -2072,GCTTCGATTCCATCTTCAAGAAGGAGGCAT,MED12,76.89,1674.0,0.652597403,0,AZD_200nM,0.5386656932214643 -2073,GCTTCGATTCCATCTTCAAGAAGGAGGCAT,MED12,76.89,1674.0,0.647186147,0,PLX_2uM,0.5386656932214643 -2074,GAACCGCAAAGGGACAGCAGAAACTGGTGG,MED12,36.24,789.0,0.497835498,0,AZD_200nM,0.4209952484107876 -2075,GAACCGCAAAGGGACAGCAGAAACTGGTGG,MED12,36.24,789.0,0.497835498,0,PLX_2uM,0.4209952484107876 -2076,GGAACGCAAGAAGAAGTCCACCAAGGGCAA,MED12,82.09,1787.0,0.318181818,0,AZD_200nM,0.5229704204392133 -2077,GGAACGCAAGAAGAAGTCCACCAAGGGCAA,MED12,82.09,1787.0,0.23701298699999998,0,PLX_2uM,0.5229704204392133 -2078,AGTGCGCAGAATACTGGCCAAGCATGGAGG,CD45,52.57,594.0,0.166064982,0,nodrug,0.5588176121976955 -2079,GCTTCGCAGCCCCGGGGAGTGCGAGGGCGA,CD15,56.98,302.0,0.80952381,1,nodrug,0.5007235148518235 -2080,GAAGCGCAGCCGGCAGTCAGGGGGCGGCCT,CD15,39.43,209.0,0.45787545799999996,0,nodrug,0.4742592520893267 -2081,GCCACGCAGCTTTGTCCGGTAATAGGGAGA,CCDC101,18.77,55.0,0.147651007,0,AZD_200nM,0.3765594013409333 -2082,GTCCCGCAGGCTCTCACACTATTCAGGTGA,H2-K,31.44,116.0,0.088757396,0,nodrug,0.2723123269615896 -2083,GAGGCGCATTGAGCATCCCACTGCAGGAAA,NF1,27.12,770.0,0.296195652,0,PLX_2uM,0.45077340622230816 -2084,GCCCCGCCACTGTCCAGGAAACAGGGGCTG,CD15,66.79,354.0,0.9413919409999999,1,nodrug,0.6815078199014719 -2085,CCGGCGCCATGGAGAACTGGGGACTGGTGA,CD13,37.02,358.0,0.263736264,0,nodrug,0.48734722794875296 -2086,GCGCCGCCCGCCCGCCGCCGCCGTCGGCGA,CD15,25.47,135.0,0.344322344,0,nodrug,0.3499648178447478 -2087,TTCACGCCCTTGTACAGGGATGCCCGGAAT,CD28,24.77,54.0,0.094594595,0,nodrug,0.47403844976383186 -2088,GGCTCGCCGACGGCGGCGGCGGGCGGGCGG,CD15,26.04,138.0,0.179487179,0,nodrug,0.27105214735106686 -2089,GGCCCGCCGCAATGGCACTGGGCCGGGCCC,CD13,31.64,306.0,0.046153846,0,nodrug,0.2719387564342748 -2090,TCGGCGCCGGCCGAGAAGCACTCGGGGCAC,TADA2B,8.1,34.0,0.478947368,0,AZD_200nM,0.5837326317393561 -2091,TCAACGCCGGCGCCATGGAGAACTGGGGAC,CD13,36.81,356.0,0.17692307699999998,0,nodrug,0.417605852590445 -2092,ATGGCGCCGGCGTTGAAGTCTGGCAGGCCA,CD13,35.88,347.0,0.11758241800000001,0,nodrug,0.5056259003710765 -2093,TCAGCGCCGTACACGTCAAGCCGGCGGCCG,CD15,30.19,160.0,0.663003663,0,nodrug,0.6176693902382203 -2094,TGGCCGCCTCCAGCTCGCTCACAAAGGTCG,TADA1,1.49,5.0,0.733944954,0,AZD_200nM,0.587936318178446 -2095,GCTTCGCCTCCTACGTGGAGTACCTGGGTG,CD13,43.33,419.0,0.104395604,0,nodrug,0.27711921904813536 -2096,CACCCGCCTCGGAGATCAACACGCCGGCCC,CD13,47.98,464.0,0.697802198,0,nodrug,0.6795128608747234 -2097,TGTGCGCCTGGATGCCCCAGGGCGGGGGCC,CD15,47.55,252.0,0.084249084,0,nodrug,0.29959785365255315 -2098,CCTCCGCCTTACCTAGACAACGAGAGGAGC,CD28,58.26,127.0,0.77027027,0,nodrug,0.6567265404915152 -2099,TGGCCGCGCACAGGCCGGTGGAATGGGTCC,NF1,0.28,8.0,0.858695652,1,PLX_2uM,0.45851577578216646 -2100,TGTTCGCGCCATGGGGGCACCGTGGGGCTC,CD15,24.34,129.0,0.542124542,0,nodrug,0.6272703970231441 -2101,CCACCGCGCCCGCGGCTCATATCTCGGATT,H2-K,17.89,66.0,0.319526627,0,nodrug,0.4634977189417097 -2102,AGATCGCGGAAATCAAGTCTCTGTTGGAAG,CCDC101,30.72,90.0,0.161073826,0,AZD_200nM,0.43826271602891387 -2103,GCAGCGCGGCATAAACGGGAGAAGAGGAAG,TADA2B,75.48,317.0,0.44210526299999997,0,AZD_200nM,0.5463547630621066 -2104,CCCGCGCGGGTCTGAGTCGGAGCCAGGGCG,H2-K,4.07,15.0,0.18934911199999999,0,nodrug,0.31169116114631074 -2105,GCGGCGCGGGTGGCGCCGAGGCCGGGGGCT,CD15,27.55,146.0,0.161172161,0,nodrug,0.1269929226356726 -2106,AGGGCGCGGTAGAAGCAGGTAGTCTGGGGA,CCDC101,82.25,241.0,0.026845637999999998,0,AZD_200nM,0.27765683766305665 -2107,CGGGCGCGGTGGATGGAGCAGGAGGGGCCC,H2-K,20.6,76.0,0.479289941,0,nodrug,0.438406313098691 -2108,GTCACGCGGTTGGGGATGGTGTCGGGGATG,TADA2B,30.0,126.0,0.289473684,0,AZD_200nM,0.49948534048271576 -2109,ACCGCGCGTCCTACGGAGAGGCTCAGGCCG,CD15,43.77,232.0,1.0,1,nodrug,0.46748828949204974 -2110,GCAACGCGTTGCGCCAGAGCTTCTCGGTGA,CD15,80.19,425.0,0.139194139,0,nodrug,0.30907993104706555 -2111,GCAACGCTATCGCCCAGGGCGGGGAGGAGG,CD13,83.25,805.0,0.198901099,0,nodrug,0.47989173695207393 -2112,GCCTCGCTCGAGAGAAGCAGATGAGGGAGG,NF2,57.98,345.0,0.42600896899999996,0,PLX_2uM,0.5787019320865399 -2113,TCATCGCTCGGCAGTGTTTGCTCCTGGAAG,MED12,52.46,1142.0,0.116883117,0,AZD_200nM,0.40030619095067443 -2114,TCATCGCTCGGCAGTGTTTGCTCCTGGAAG,MED12,52.46,1142.0,0.096320346,0,PLX_2uM,0.40030619095067443 -2115,AAAGCGCTCGTAGTTGGCACGGTCTGGGCC,CD15,83.77,444.0,0.06959707,0,nodrug,0.2656219032886001 -2116,AACACGCTGAAACCCGATTCCTACCGGGTG,CD13,8.79,85.0,0.12857142900000001,0,nodrug,0.479462516722963 -2117,GCGGCGCTGATCACCAAACACAAGTGGGAG,H2-K,45.26,167.0,0.99408284,1,nodrug,0.619092534168652 -2118,ACGGCGCTGATCACCTACGCTTGCTGGGGG,CD15,32.26,171.0,0.28571428600000004,0,nodrug,0.22807853137354894 -2119,GTGCCGCTGATGATGATCTCCAGGAGGAGC,MED12,71.75,1562.0,0.78030303,0,AZD_200nM,0.6757332670733943 -2120,GTGCCGCTGATGATGATCTCCAGGAGGAGC,MED12,71.75,1562.0,0.7337662340000001,0,PLX_2uM,0.6757332670733943 -2121,CAGCCGCTGATGTTGAAGCGCAGCCGGCAG,CD15,40.19,213.0,0.19047619,0,nodrug,0.46564155854613976 -2122,GGTACGCTGCAAAGTCTCTGGCAGGGGCGT,CD28,96.33,210.0,0.391891892,0,nodrug,0.36679546712737215 -2123,TACTCGCTGCGGTAGAAGCCCGCCAGGTCA,CD13,19.75,191.0,0.39230769200000004,0,nodrug,0.54004846566773 -2124,AGTTCGCTGGAGCTGGTGTGACTACGGAGA,CD33,60.99,222.0,0.05411255400000001,0,nodrug,0.4898233910949373 -2125,AAGGCGCTGTCCTTGGGGCACCGCAGGTTG,MED12,87.51,1905.0,0.221861472,0,AZD_200nM,0.2647798415309596 -2126,AAGGCGCTGTCCTTGGGGCACCGCAGGTTG,MED12,87.51,1905.0,0.17965368,0,PLX_2uM,0.2647798415309596 -2127,ACGTCGCTGTTCACGCCCTTGTACAGGGAT,CD28,26.15,57.0,0.162162162,0,nodrug,0.4030183164138113 -2128,GGGCCGCTGTTGCAGGTGGCGGGTAGGATC,MED12,91.36,1989.0,0.096320346,0,AZD_200nM,0.22336794461443968 -2129,GGGCCGCTGTTGCAGGTGGCGGGTAGGATC,MED12,91.36,1989.0,0.001082251,0,PLX_2uM,0.22336794461443968 -2130,CCAGCGCTTCTTTGCTTCTGCACTTGGCTT,NF1,99.37,2821.0,0.067934783,0,PLX_2uM,0.031899704494441176 -2131,TCCACGCTTTACTTTGGTCCAAGGTGGTGG,CD13,6.72,65.0,0.254945055,0,nodrug,0.6025353599055896 -2132,AATGCGCTTTATGCGCTGCCGCTGGGGGTT,MED12,61.6,1341.0,0.16883116899999998,0,AZD_200nM,0.39880940385369096 -2133,AATGCGCTTTATGCGCTGCCGCTGGGGGTT,MED12,61.6,1341.0,0.35714285700000004,0,PLX_2uM,0.39880940385369096 -2134,TTCCCGGAACCAGTAACCATGAACTGGGGA,CD33,15.66,57.0,0.53030303,0,nodrug,0.4170115405519129 -2135,ACCACGGCACCAACCTGACCTGTCAGGTGA,CD33,58.24,212.0,0.454545455,0,nodrug,0.5179213800641645 -2136,GCTCCGGCACGGTGGTGGGTGGGGTGGTTG,CD5,29.55,146.0,0.150627615,0,nodrug,0.4610053065166504 -2137,GAGTCGGCAGAGTACGAGGCAGCGCGGCAT,TADA2B,74.05,311.0,0.726315789,0,AZD_200nM,0.6955519987604841 -2138,GATGCGGCAGGTAAGCCGGGCCCCTGGCTC,MED12,53.7,1169.0,0.841991342,1,AZD_200nM,0.5258941422487933 -2139,GATGCGGCAGGTAAGCCGGGCCCCTGGCTC,MED12,53.7,1169.0,0.7478354979999999,0,PLX_2uM,0.5258941422487933 -2140,CAGCCGGCAGTCAGGGGGCGGCCTCGGGGC,CD15,39.06,207.0,0.021978022000000003,0,nodrug,0.16231965679073063 -2141,CTACCGGCCAGGGCCTGCAGGAAGTGGGGG,MED12,9.69,211.0,0.271645022,0,AZD_200nM,0.4048642410135315 -2142,CTACCGGCCAGGGCCTGCAGGAAGTGGGGG,MED12,9.69,211.0,0.33982684,0,PLX_2uM,0.4048642410135315 -2143,CAGTCGGCCATGACCCTGCCCCTGTGGATC,CCDC101,45.05,132.0,0.40268456399999997,0,AZD_200nM,0.5919108086176019 -2144,GGCCCGGCCCAGTGCCATTGCGGCGGGCCA,CD13,32.06,310.0,0.09010989,0,nodrug,0.41854352695063807 -2145,CTCCCGGCCCGGTACTCACCCGCGCGGGTC,H2-K,5.69,21.0,0.952662722,1,nodrug,0.7102490886217098 -2146,GCATCGGCCTTGGCGGTTGTGTAGAGGCCA,CCDC101,21.5,63.0,0.382550336,0,AZD_200nM,0.5913651733810606 -2147,ACCCCGGCGACCCGCCCTCAGGCCTGGCCC,CD15,65.09,345.0,0.153846154,0,nodrug,0.3048701881971587 -2148,ACGGCGGCGGCGGGCGGGCGGCGCGGGTGG,CD15,26.6,141.0,0.205128205,0,nodrug,0.20714441220722019 -2149,TGGACGGCGGGCGCTTCACGCTCTGGGGGC,TADA2B,14.52,61.0,0.026315789,0,AZD_200nM,0.32718987983604525 -2150,GCGGCGGCGGGCGGGCGGCGCGGGTGGCGC,CD15,26.79,142.0,0.098901099,0,nodrug,0.2831034541339912 -2151,TGAGCGGCGTGCCCTGGTTTGCAATGGTTA,NF1,63.54,1804.0,0.9021739129999999,1,PLX_2uM,0.6094599016777502 -2152,GGGCCGGCGTGTTGATCTCCGAGGCGGGTG,CD13,47.57,460.0,0.82967033,1,nodrug,0.6307840388035184 -2153,TGCTCGGCTACTACAACCAGAGCAAGGGCG,H2-K,29.54,109.0,0.75739645,0,nodrug,0.6112203716080411 -2154,GCGCCGGCTCAGGGTGTGTCTCCTGGGGGA,CCDC101,68.94,202.0,0.167785235,0,AZD_200nM,0.3380971108092886 -2155,TGGCCGGCTCATCGAAGCATGGGAAGGACT,CD13,22.96,222.0,0.8120879120000001,1,nodrug,0.6263489377747166 -2156,TAGCCGGCTCCAAACGGGGAAAGGAGGACG,TADA2B,78.81,331.0,0.48947368399999996,0,AZD_200nM,0.5796164154890892 -2157,CTGCCGGCTGCGCTTCAACATCAGCGGCTG,CD15,40.94,217.0,0.67032967,0,nodrug,0.6465574993025196 -2158,TGAGCGGCTGCTGACTGGCCTCAAAGGTAG,NF1,59.88,1700.0,0.141304348,0,PLX_2uM,0.5642536298351942 -2159,TTACCGGGACAGGTCATTCTCTCCTGGCTC,NF1,77.07,2188.0,0.38043478299999994,0,PLX_2uM,0.40103500067035797 -2160,GGAGCGGGAGACACAGAAAGCCAAGGGCAA,H2-K,23.85,88.0,0.538461538,0,nodrug,0.6093227882227352 -2161,GACGCGGGAGCGGTACGTGTGCTCGGGTAT,THY1,45.06,73.0,0.45161290299999995,0,nodrug,0.5203433620598416 -2162,CACCCGGGCAGCCACCTTGTCTCCAGGTCT,CCDC101,54.61,160.0,0.060402685,0,AZD_200nM,0.4679782141166382 -2163,GAGTCGGGCTGTGACAGTTCCCAGCGGGTC,NF1,64.49,1831.0,0.8125,1,PLX_2uM,0.7396937860516107 -2164,GTGTCGGGGATGCAGGCCTTCCCCAGGTTC,TADA2B,28.57,120.0,0.10526315800000001,0,AZD_200nM,0.5095519771143787 -2165,CACTCGGGGCACAGCTCGATGTCCTGGCAC,TADA2B,6.67,28.0,0.573684211,0,AZD_200nM,0.46274929343185406 -2166,CGAGCGGGGGAAGATGGCGGAGCTGGGGAA,TADA2B,0.71,3.0,0.668421053,0,AZD_200nM,0.4379170902203536 -2167,TGGTCGGGGGCAGCAGTGTGTGTGAGGGCA,CD5,57.69,285.0,0.786610879,0,nodrug,0.540298489044039 -2168,AGATCGGGGGTGTTCCCTGCTCACAGGCCC,CD33,46.7,170.0,0.021645022000000003,0,nodrug,0.5333631137550334 -2169,GCTGCGGGGTCACGTTACTGCCAAAGGCAT,TADA1,62.39,209.0,0.100917431,0,AZD_200nM,0.5671658913328677 -2170,TCGCCGGGGTGGCTTCTGGGGTAGAGGTAG,CD15,63.02,334.0,0.78021978,0,nodrug,0.5000513907778069 -2171,CGGACGGGGTGGTGGAGGCCACGGGGGAGC,CD13,4.76,46.0,0.43296703299999995,0,nodrug,0.559349607742059 -2172,GTGGCGGGTAGGATCTACAAGAGTAGGATT,MED12,91.13,1984.0,0.163419913,0,AZD_200nM,0.3620344605736171 -2173,GTGGCGGGTAGGATCTACAAGAGTAGGATT,MED12,91.13,1984.0,0.154761905,0,PLX_2uM,0.3620344605736171 -2174,AGGGCGGGTCGCCGGGGTGGCTTCTGGGGT,CD15,63.58,337.0,0.3003663,0,nodrug,0.07073432984898773 -2175,TGGTCGGGTGGGCAGCTTCTGCATTGGTAA,MED12,85.71,1866.0,0.38311688299999996,0,AZD_200nM,0.47792228506231305 -2176,TGGTCGGGTGGGCAGCTTCTGCATTGGTAA,MED12,85.71,1866.0,0.329004329,0,PLX_2uM,0.47792228506231305 -2177,GAATCGGGTTTCAGCGTGTTGGGGAGGCGG,CD13,7.96,77.0,0.7164835159999999,0,nodrug,0.5400102085987282 -2178,GGCGCGGTAGAAGCAGGTAGTCTGGGGATA,CCDC101,82.25,241.0,0.979865772,1,AZD_200nM,0.6025626014133797 -2179,TCCACGGTCACATGTTGGCTCAGTTGGTGG,CD15,71.13,377.0,0.633699634,0,nodrug,0.46349854132155366 -2180,GGTACGGTCTCAGCGTCACCCGGTAGGAAT,CD13,8.89,86.0,0.636263736,0,nodrug,0.6665907712163046 -2181,GGCACGGTCTGGGCCCAGCACCACCGGCAC,CD15,82.83,439.0,0.787545788,0,nodrug,0.43406720686773004 -2182,CACTCGGTGCAGCGGAAGCGCAGCGGGCTC,TADA2B,4.52,19.0,0.684210526,0,AZD_200nM,0.46397456776757007 -2183,TCCTCGGTGCTCATAATCACCCCACGGCCC,CD33,55.22,201.0,0.837662338,1,nodrug,0.6727669805646748 -2184,GCAACGGTGCTGGAATTGGGTTCATGGGCT,NF2,81.51,485.0,0.31838565,0,PLX_2uM,0.3128435408041203 -2185,TAGACGGTGGACCGCAGGTTGGGGTGGATC,CD13,81.7,790.0,0.671428571,0,nodrug,0.4766524317917637 -2186,CGACCGGTGGGCGTGCTGCTGTGGTGGGAG,CD15,36.6,194.0,0.7582417579999999,0,nodrug,0.43204265769233074 -2187,GGGCCGGTTACCTGCTCGTCGAAGCGGCTG,NF1,0.6,17.0,0.49456521700000006,0,PLX_2uM,0.6695646752563712 -2188,CTCACGTAATGCTCCATCACCTCTTGGGGA,TADA2B,25.0,105.0,0.078947368,0,AZD_200nM,0.4468344231434504 -2189,AAAACGTACAGGCCCCTGTCATTGGGGGTG,CD13,9.93,96.0,0.527472527,0,nodrug,0.6053965688272711 -2190,AGACCGTACCTCACCCCCAATGACAGGGGC,CD13,10.03,97.0,0.48021978,0,nodrug,0.5322094320172559 -2191,GTGGCGTACTGCACGTGTCGTGGCTGGTCG,MED12,33.49,729.0,0.744588745,0,AZD_200nM,0.5512214258063257 -2192,GTGGCGTACTGCACGTGTCGTGGCTGGTCG,MED12,33.49,729.0,0.6385281389999999,0,PLX_2uM,0.5512214258063257 -2193,TAGGCGTACTGCTGGTACCCGCGGAGGAGT,H2-K,35.77,132.0,0.946745562,1,nodrug,0.7242735770269997 -2194,TCCACGTAGCCGACTTCCATGTACCGGGGC,H2-K,11.65,43.0,0.8165680470000001,1,nodrug,0.5277908457869586 -2195,ACCACGTATCTCTGAGCCACATTGAGGGGA,CCDC101,94.88,278.0,0.10738255,0,AZD_200nM,0.4155836325129127 -2196,AGGACGTATTCAAGCAGGGCCTGGCGGTGA,CD13,51.71,500.0,0.8472527470000001,1,nodrug,0.6960827935097917 -2197,ATGGCGTCAAACAGCTCACTGATCTGGGCC,CD13,48.4,468.0,0.127472527,0,nodrug,0.3339576438813332 -2198,GGATCGTCACCATGGACGCCGAGATGGAGT,NF2,5.38,32.0,0.68161435,0,PLX_2uM,0.5601481218005366 -2199,AGAACGTCAGCTTCAATCCTGCCAAGGTGA,MED12,3.08,67.0,0.409090909,0,AZD_200nM,0.61440190199316 -2200,AGAACGTCAGCTTCAATCCTGCCAAGGTGA,MED12,3.08,67.0,0.37987013,0,PLX_2uM,0.61440190199316 -2201,GCAGCGTCAGTGGATTGGCCCCACAGGAGT,CD5,84.82,419.0,0.29707113,0,nodrug,0.4647999566093859 -2202,GTAGCGTCCAAATATGTTGGTACTGGGCTG,MED12,99.72,2171.0,0.217532468,0,AZD_200nM,0.204584441669669 -2203,GTAGCGTCCAAATATGTTGGTACTGGGCTG,MED12,99.72,2171.0,0.181818182,0,PLX_2uM,0.204584441669669 -2204,CCGCCGTCCACCAGCTGGTAGCCGTGGTAG,TADA2B,11.9,50.0,0.468421053,0,AZD_200nM,0.6342294402140719 -2205,GGCTCGTCCCAGAAGGAGGTGATGTGGACA,CD15,93.58,496.0,0.6776556779999999,0,nodrug,0.48434934393174045 -2206,GCACCGTCCGTTTCACCTGCAAGGAGGCCA,CD13,11.79,114.0,0.874725275,1,nodrug,0.7507233726869768 -2207,ACCGCGTGATGGCAGTGGATGCACTGGCCT,CD13,46.33,448.0,0.906593407,1,nodrug,0.5927012341422915 -2208,CCTCCGTGCAACATAATAAAAAATAGGATT,NF1,56.57,1606.0,0.125,0,PLX_2uM,0.2840958932652391 -2209,CCAACGTGCAAGTGGCTGGACCAGTGGACA,NF1,78.48,2228.0,0.760869565,0,PLX_2uM,0.49735142657033005 -2210,TATTCGTGCATTTCTGTAGGTATATGGTGC,NF1,45.47,1291.0,0.19972826100000002,0,PLX_2uM,0.381060903560604 -2211,AGTTCGTGCGCTTCGACAGCGACGCGGAGA,H2-K,16.26,60.0,0.325443787,0,nodrug,0.725056617765649 -2212,TGAGCGTGCTCATCAATGGGACATTGGCTG,MED12,73.17,1593.0,0.769480519,0,AZD_200nM,0.5749955242746444 -2213,TGAGCGTGCTCATCAATGGGACATTGGCTG,MED12,73.17,1593.0,0.806277056,1,PLX_2uM,0.5749955242746444 -2214,ACTACGTGGCCAGACCTGGAGACAAGGTGG,CCDC101,54.61,160.0,0.590604027,0,AZD_200nM,0.623492438769264 -2215,CCGCCGTGTCCCGGCCCGGCCTCGGGGAGC,H2-K,10.3,38.0,0.520710059,0,nodrug,0.5384631648164239 -2216,TGGTCGTGTCTTCACAGTACTCTGGGGAAT,MED12,13.05,284.0,0.876623377,1,AZD_200nM,0.7498437872472555 -2217,TGGTCGTGTCTTCACAGTACTCTGGGGAAT,MED12,13.05,284.0,0.897186147,1,PLX_2uM,0.7498437872472555 -2218,GGTACGTGTGCTCGGGTATCCCAAGGGTGC,THY1,42.59,69.0,0.967741935,1,nodrug,0.6724718256118342 -2219,TGGACGTGTTCGGCCGGGGCGGGCCGGGGC,CD15,73.58,390.0,0.421245421,0,nodrug,0.28728188191329285 -2220,CTTACGTTCACTGACTGGACCCATGGGTGG,NF1,30.57,868.0,0.6603260870000001,0,PLX_2uM,0.5850383720624629 -2221,GTCACGTTCAGGGCATAATCGCCGTGGCCC,CD13,32.47,314.0,0.795604396,0,nodrug,0.6808397667637797 -2222,ACCTCGTTGCTATCTACCACAAGCAGGGGC,CD28,13.76,30.0,0.364864865,0,nodrug,0.5664088413335802 -2223,CTCTCGTTGTCTAGGTAAGGCGGAGGGTAC,CD28,55.5,121.0,0.9594594590000001,1,nodrug,0.6856499740187203 -2224,CCAGCGTTTCCCTCAGAACAGCATCGGTGC,NF1,49.35,1401.0,0.650815217,0,PLX_2uM,0.5966728698981938 -2225,ACTGCTAACTGCGCAACCTTCTTTAGGGCT,NF1,7.22,205.0,0.058423913,0,PLX_2uM,0.24112191823235085 -2226,GATACTAAGCTGGCTCTGCAGTGCAGGAGG,NF1,97.43,2766.0,0.21195652199999998,0,PLX_2uM,0.10031659041986826 -2227,TCTGCTACACATGTGTAATTTGTTTGGGCA,CD45,16.37,185.0,0.198555957,0,nodrug,0.379224721490154 -2228,GCCGCTACCACGGCTACCAGCTGGTGGACG,TADA2B,12.62,53.0,0.45789473700000005,0,AZD_200nM,0.593437695190939 -2229,GATCCTACCCGCCACCTGCAACAGCGGCCC,MED12,91.55,1993.0,0.212121212,0,AZD_200nM,0.33857151673694674 -2230,GATCCTACCCGCCACCTGCAACAGCGGCCC,MED12,91.55,1993.0,0.20021645,0,PLX_2uM,0.33857151673694674 -2231,GCTTCTACCGCAGCGAGTACATGGAGGGCA,CD13,20.58,199.0,0.73956044,0,nodrug,0.7601914985586709 -2232,GGGCCTACCTGGAGGGCACGTGCGTGGAGT,H2-K,50.14,185.0,0.798816568,0,nodrug,0.645327584547372 -2233,TGGACTACGAGGAGGCAGCGGCGGCGGCAG,CD15,51.89,275.0,0.311355311,0,nodrug,0.5047042892439713 -2234,GGCGCTACGGGCTGGGCAAGATGGCGGCCT,MED12,0.05,1.0,0.681818182,0,AZD_200nM,0.6194750409054273 -2235,GGCGCTACGGGCTGGGCAAGATGGCGGCCT,MED12,0.05,1.0,0.543290043,0,PLX_2uM,0.6194750409054273 -2236,CTTCCTACGGTTTGCAGACTTCCCAGGTAA,MED12,89.16,1941.0,0.265151515,0,AZD_200nM,0.3795352456829699 -2237,CTTCCTACGGTTTGCAGACTTCCCAGGTAA,MED12,89.16,1941.0,0.22727272699999998,0,PLX_2uM,0.3795352456829699 -2238,GTGGCTACTAAGAAAGTAACAACGTGGAAG,NF1,74.18,2106.0,0.835597826,1,PLX_2uM,0.674375121235999 -2239,CCGTCTACTGCAACGCTATCGCCCAGGGCG,CD13,82.94,802.0,0.8967032970000001,1,nodrug,0.48665607673551153 -2240,CCATCTACTGCAACGTGGAGCCATCGGAAT,MED12,46.39,1010.0,0.595238095,0,AZD_200nM,0.630730056081715 -2241,CCATCTACTGCAACGTGGAGCCATCGGAAT,MED12,46.39,1010.0,0.598484848,0,PLX_2uM,0.630730056081715 -2242,GAAACTACTGCTTCCATGCTTGCCTGGTCC,NF1,37.72,1071.0,0.491847826,0,PLX_2uM,0.4975912446581201 -2243,ACCACTACTTTGGGTACCTTTGAGTGGAGG,MED12,92.51,2014.0,0.601731602,0,AZD_200nM,0.3917322310951579 -2244,ACCACTACTTTGGGTACCTTTGAGTGGAGG,MED12,92.51,2014.0,0.635281385,0,PLX_2uM,0.3917322310951579 -2245,TTAACTAGAATGACCAGTCAACAGGGGACA,HPRT1,50.92,111.0,0.984375,1,6TG_2ug/mL,0.7726412203304605 -2246,TTACCTAGACAACGAGAGGAGCAATGGAAC,CD28,59.17,129.0,0.972972973,1,nodrug,0.6064793131158875 -2247,GTCACTAGCAAGCCATAACAAAACAGGACT,CD28,74.31,162.0,0.486486486,0,nodrug,0.4164357968165717 -2248,TGGGCTAGTACATATGTTGAAAAATGGAAA,CUL3,37.63,289.0,0.14285714300000002,0,PLX_2uM,0.29264956657916147 -2249,GCTGCTAGTTGGGGGCTGAGGAGCAGGGGT,MED12,15.34,334.0,0.30735930699999997,0,AZD_200nM,0.33835258688963543 -2250,GCTGCTAGTTGGGGGCTGAGGAGCAGGGGT,MED12,15.34,334.0,0.314935065,0,PLX_2uM,0.33835258688963543 -2251,ACTTCTAGTTTGGTCTGGGCTTGTCGGCAA,NF1,24.02,682.0,0.309782609,0,PLX_2uM,0.4487653446082181 -2252,GGTTCTATAACACACCTTAACTACAGGCAA,MED12,84.24,1834.0,0.37337662299999996,0,AZD_200nM,0.49469385938437954 -2253,GGTTCTATAACACACCTTAACTACAGGCAA,MED12,84.24,1834.0,0.35281385299999996,0,PLX_2uM,0.49469385938437954 -2254,AGCTCTATAGAAATGCATATACAATGGTTT,CUL3,8.2,63.0,0.649350649,0,PLX_2uM,0.6588709192824648 -2255,GTCACTATCATTCTCCCTTCAAGCTGGCCT,TADA1,45.07,151.0,0.596330275,0,AZD_200nM,0.6046162791412834 -2256,CTCACTATCTTTGCCTGGAGCTGTTGGCGA,MED12,87.92,1914.0,0.321428571,0,AZD_200nM,0.363520110254866 -2257,CTCACTATCTTTGCCTGGAGCTGTTGGCGA,MED12,87.92,1914.0,0.293290043,0,PLX_2uM,0.363520110254866 -2258,AGAGCTATGTCGGGAGCAGCAGTGTGGCGA,CD5,64.78,320.0,0.7949790790000001,0,nodrug,0.7701865270553825 -2259,ATGGCTATTCCCCTCCCCTCAATGTGGCTC,CCDC101,94.88,278.0,0.939597315,1,AZD_200nM,0.5750335665607991 -2260,TACACTATTCTTCAGGTATGGCTGCGGGGT,TADA1,64.48,216.0,0.614678899,0,AZD_200nM,0.5229529253697204 -2261,TCTTCTCAAAACACTCAAGCACCCAGGTCA,MED12,11.85,258.0,0.7716450220000001,0,AZD_200nM,0.6833559846523427 -2262,TCTTCTCAAAACACTCAAGCACCCAGGTCA,MED12,11.85,258.0,0.818181818,1,PLX_2uM,0.6833559846523427 -2263,TCAGCTCAAAAGTTCGGAGAGTGTAGGCTG,CD45,81.95,926.0,0.711191336,0,nodrug,0.6000854900499847 -2264,CTGGCTCAAAATGGACAAGAAGGTTGGGCT,NF2,13.45,80.0,0.273542601,0,PLX_2uM,0.47484663879507305 -2265,GCTTCTCAAATCCTCGGATCTGGTGGGCAG,MED12,41.98,914.0,0.8160173159999999,1,AZD_200nM,0.6262012762446086 -2266,GCTTCTCAAATCCTCGGATCTGGTGGGCAG,MED12,41.98,914.0,0.704545455,0,PLX_2uM,0.6262012762446086 -2267,GAAGCTCAACTACACCCTCAGCCAGGGGCA,CD13,13.65,132.0,0.5813186810000001,0,nodrug,0.5988553467529629 -2268,TGTTCTCAAGGCTGTGTTTGTACTTGGTAC,MED12,56.45,1229.0,0.043290043,0,AZD_200nM,0.2742747260723642 -2269,TGTTCTCAAGGCTGTGTTTGTACTTGGTAC,MED12,56.45,1229.0,0.075757576,0,PLX_2uM,0.2742747260723642 -2270,GCAGCTCAATCCTTGCCAGTCTGATGGAAG,MED12,54.66,1190.0,0.465367965,0,AZD_200nM,0.48919487597206673 -2271,GCAGCTCAATCCTTGCCAGTCTGATGGAAG,MED12,54.66,1190.0,0.463203463,0,PLX_2uM,0.48919487597206673 -2272,CTTACTCAATGCCAACGTAGACAGTGGTCT,NF1,40.79,1158.0,0.547554348,0,PLX_2uM,0.7088541222482581 -2273,GCCACTCACACAGGACTATGGAATGGGCCC,MED12,82.82,1803.0,0.7023809520000001,0,AZD_200nM,0.5177028359528535 -2274,GCCACTCACACAGGACTATGGAATGGGCCC,MED12,82.82,1803.0,0.655844156,0,PLX_2uM,0.5177028359528535 -2275,GCAGCTCACACCTTCACCTACACGGGGCTA,MED12,47.63,1037.0,0.731601732,0,AZD_200nM,0.7445074854685627 -2276,GCAGCTCACACCTTCACCTACACGGGGCTA,MED12,47.63,1037.0,0.833333333,1,PLX_2uM,0.7445074854685627 -2277,GTGGCTCACACGTGATGACATCTCGGGTCT,MED12,75.65,1647.0,0.531385281,0,AZD_200nM,0.5367666419576475 -2278,GTGGCTCACACGTGATGACATCTCGGGTCT,MED12,75.65,1647.0,0.516233766,0,PLX_2uM,0.5367666419576475 -2279,ACAGCTCACACTCCAGCATCATATGGGTTC,CUL3,72.01,553.0,0.24025974,0,PLX_2uM,0.5116480120974706 -2280,TCTCCTCACACTCTGGAACTCCGTTGGAGC,CD13,79.01,764.0,0.935164835,1,nodrug,0.514194372320345 -2281,CTTCCTCACAGAGGTGGCGGAAACAGGACA,NF1,25.01,710.0,0.111413043,0,PLX_2uM,0.3755334335685855 -2282,CCTGCTCACCGACCGCGCGTCCTACGGAGA,CD15,43.02,228.0,0.6813186809999999,0,nodrug,0.5252244506841859 -2283,AGAACTCACCTAAATTTCATCTCTTGGCAA,NF1,36.42,1034.0,0.09918478300000001,0,PLX_2uM,0.37816531894466504 -2284,GGCGCTCACCTCTGTCTTGGTAGCTGGCTG,MED12,82.54,1797.0,0.006493506,0,AZD_200nM,0.34311372809458696 -2285,GGCGCTCACCTCTGTCTTGGTAGCTGGCTG,MED12,82.54,1797.0,0.008658009,0,PLX_2uM,0.34311372809458696 -2286,CCCACTCACCTTTGGGAAGCATGTTGGACA,CD13,25.75,249.0,0.693406593,0,nodrug,0.5902588774350701 -2287,TCTGCTCACTTGAATTCTGAGGGGCGGGTA,CD13,59.67,577.0,0.457142857,0,nodrug,0.5759421226740994 -2288,TGGTCTCAGAGATTGCTGCATAGTAGGCAC,MED12,7.67,167.0,0.45021645,0,AZD_200nM,0.4415719276013196 -2289,TGGTCTCAGAGATTGCTGCATAGTAGGCAC,MED12,7.67,167.0,0.5216450220000001,0,PLX_2uM,0.4415719276013196 -2290,TGCACTCAGCCTCTGCATCGGCCTTGGCGG,CCDC101,23.21,68.0,0.140939597,0,AZD_200nM,0.3944214728690874 -2291,CCTGCTCAGCCTCTGCGGCCTTCTGGGCCA,NF2,67.39,401.0,0.00896861,0,PLX_2uM,0.24745968608381672 -2292,TGGCCTCAGCTGTATCCTACAGGTAGGTAC,MED12,16.86,367.0,0.9870129870000001,1,AZD_200nM,0.7725982001468664 -2293,TGGCCTCAGCTGTATCCTACAGGTAGGTAC,MED12,16.86,367.0,0.9837662340000001,1,PLX_2uM,0.7725982001468664 -2294,CTCTCTCAGGAGCCCAGCAATTTGTGGCAA,TADA1,37.31,125.0,0.302752294,0,AZD_200nM,0.42951170963961893 -2295,GCACCTCAGGGTGACTTTATCTTCAGGTCT,H2-K,59.08,218.0,0.23076923100000002,0,nodrug,0.3170158686451952 -2296,CCAGCTCAGTCTTGTCAATGTCGGGGGGCT,CD13,15.41,149.0,0.213186813,0,nodrug,0.5640882105878444 -2297,GTGACTCATATCCAATTCACCAGCTGGCCA,CD45,56.99,644.0,0.5162454870000001,0,nodrug,0.5864454740914937 -2298,CGCCCTCATCCTTGGTGGTGAAGTTGGCTA,THY1,58.64,95.0,0.322580645,0,nodrug,0.4619958915229994 -2299,ATTCCTCATGGACTAATTATGGACAGGTAA,HPRT1,20.18,44.0,0.78125,0,6TG_2ug/mL,0.5776415218816797 -2300,CAGGCTCATGGATTTCCTGGCTCGGGGACT,NF1,88.69,2518.0,0.550271739,0,PLX_2uM,0.47881580063998147 -2301,CTTTCTCATGGTTACACACCATTAAGGACA,NF1,31.77,902.0,0.182065217,0,PLX_2uM,0.22755278891468741 -2302,GGGGCTCCAAAGGCAAGGTCCCCTCGGGAG,MED12,28.57,622.0,0.760822511,0,AZD_200nM,0.4832225288762962 -2303,GGGGCTCCAAAGGCAAGGTCCCCTCGGGAG,MED12,28.57,622.0,0.775974026,0,PLX_2uM,0.4832225288762962 -2304,CCCTCTCCAACCAGCCCTATATCAAGGTCC,THY1,53.7,87.0,0.274193548,0,nodrug,0.5539391418375192 -2305,GCAGCTCCAAGGAAGACTGGCGCATGGTCC,MED12,62.33,1357.0,0.892857143,1,AZD_200nM,0.6592258310543144 -2306,GCAGCTCCAAGGAAGACTGGCGCATGGTCC,MED12,62.33,1357.0,0.869047619,1,PLX_2uM,0.6592258310543144 -2307,AACTCTCCACAGAACTGGTTGCTGTGGTAG,CD43,52.66,208.0,0.5144927539999999,0,nodrug,0.6333775622221546 -2308,GGATCTCCACTTGACCCTGACACTTGGAAT,CD5,8.7,43.0,0.50209205,0,nodrug,0.5223683017331783 -2309,CAGCCTCCAGAGGGGAGGGGTCACTGGGTG,CD45,67.79,766.0,0.10469314099999999,0,nodrug,0.24791856736485698 -2310,GTGCCTCCAGCAGAGAAGCAATTCTGGCCT,NF1,30.19,857.0,0.07201087,0,PLX_2uM,0.23834225587989916 -2311,CCTCCTCCAGCAGCAACAAGGAGCGGGTGG,CD13,39.3,380.0,0.39010989,0,nodrug,0.48280005472412413 -2312,ACGGCTCCATCCACGATGCGGTTCTGGGAG,MED12,55.72,1213.0,0.161255411,0,AZD_200nM,0.1431996003038699 -2313,ACGGCTCCATCCACGATGCGGTTCTGGGAG,MED12,55.72,1213.0,0.12987013,0,PLX_2uM,0.1431996003038699 -2314,CAAACTCCATGAATGTGTTATAGTTGGGCA,NF1,25.89,735.0,0.680706522,0,PLX_2uM,0.43007189154043973 -2315,AGAGCTCCCACTCACTGGTCCATCAGGTTT,CD13,77.35,748.0,0.105494505,0,nodrug,0.3810305747963609 -2316,CGCACTCCCCGGGGCTGCGAAGCCTGGCAA,CD15,58.11,308.0,0.062271062,0,nodrug,0.3936581145156028 -2317,TGTTCTCCCCTACTATGCCCTGTGAGGGGA,MED12,31.83,693.0,0.7792207790000001,0,AZD_200nM,0.5609793567499451 -2318,TGTTCTCCCCTACTATGCCCTGTGAGGGGA,MED12,31.83,693.0,0.725108225,0,PLX_2uM,0.5609793567499451 -2319,CTGTCTCCCTCTCTTTCAGTTTCAAGGCCT,NF2,92.44,550.0,0.06726457400000001,0,PLX_2uM,0.18361800221950214 -2320,TGGTCTCCCTCTGCAGCCTGAAGAAGGAGA,NF1,38.32,1088.0,0.53125,0,PLX_2uM,0.4873872754923059 -2321,GGGGCTCCGAGAAACCTGGTTCTTTGGACT,NF2,10.25,61.0,0.080717489,0,PLX_2uM,0.27540996065461226 -2322,GTGGCTCCGCAGATACCTGAAGAACGGGAA,H2-K,52.57,194.0,0.603550296,0,nodrug,0.6229145795999682 -2323,TGGGCTCCGGCACGGTGGTGGGTGGGGTGG,CD5,29.76,147.0,0.167364017,0,nodrug,0.3465038196798321 -2324,CCGTCTCCGGGTTGGCCTTCCACTGGGGCA,CCDC101,73.72,216.0,0.503355705,0,AZD_200nM,0.40205058524519316 -2325,AGATCTCCTCAGATGATGATGCTGTGGTGT,MED12,23.06,502.0,0.623376623,0,AZD_200nM,0.6113904684689959 -2326,AGATCTCCTCAGATGATGATGCTGTGGTGT,MED12,23.06,502.0,0.5670995670000001,0,PLX_2uM,0.6113904684689959 -2327,TCAGCTCCTCCCCATTCAACTGCCAGGTCA,H2-K,64.77,239.0,0.22485207100000001,0,nodrug,0.5146328066084094 -2328,TCTCCTCCTCCGTGCGAATCGCTGTGGCCT,NF2,69.92,416.0,0.408071749,0,PLX_2uM,0.5840963437685716 -2329,ATTGCTCCTCTCGTTGTCTAGGTAAGGCGG,CD28,56.88,124.0,0.783783784,0,nodrug,0.4929081796076106 -2330,GGACCTCCTGCACCACCCAAACCCTGGTTC,MED12,83.83,1825.0,0.6190476189999999,0,AZD_200nM,0.5554379818669011 -2331,GGACCTCCTGCACCACCCAAACCCTGGTTC,MED12,83.83,1825.0,0.6190476189999999,0,PLX_2uM,0.5554379818669011 -2332,GCTCCTCCTGGAGATCATCATCAGCGGCAC,MED12,71.93,1566.0,0.8906926409999999,1,AZD_200nM,0.6383517799420336 -2333,GCTCCTCCTGGAGATCATCATCAGCGGCAC,MED12,71.93,1566.0,0.8214285709999999,1,PLX_2uM,0.6383517799420336 -2334,GCTTCTCCTGGGCACAGAGGAACCCGGGGG,CD5,68.62,339.0,0.539748954,0,nodrug,0.41776586836483864 -2335,CCATCTCCTTCTTCAGGCTGCAGAGGGAGA,NF1,38.22,1085.0,0.565217391,0,PLX_2uM,0.5567575675255132 -2336,TGGCCTCCTTGCAGGTGAAACGGACGGTGC,CD13,11.38,110.0,0.49890109899999996,0,nodrug,0.6124398774379569 -2337,CAGCCTCCTTGTGCTCTGGGTCATCGGCAG,MED12,29.54,643.0,0.364718615,0,AZD_200nM,0.42995155080433684 -2338,CAGCCTCCTTGTGCTCTGGGTCATCGGCAG,MED12,29.54,643.0,0.553030303,0,PLX_2uM,0.42995155080433684 -2339,CCCGCTCCTTGTTGCTGCTGGAGGAGGACA,CD13,38.78,375.0,0.097802198,0,nodrug,0.4536777134649387 -2340,CGTCCTCCTTTCCCCGTTTGGAGCCGGCTA,TADA2B,77.86,327.0,0.147368421,0,AZD_200nM,0.33423013212257296 -2341,CCTTCTCGACATCTGGCTTCTCAGGGGATG,MED12,32.25,702.0,0.773809524,0,AZD_200nM,0.6341406167000964 -2342,CCTTCTCGACATCTGGCTTCTCAGGGGATG,MED12,32.25,702.0,0.734848485,0,PLX_2uM,0.6341406167000964 -2343,GTGGCTCGAGGAGAGGAGCAGCAGCGGTTG,MED12,79.05,1721.0,0.22727272699999998,0,AZD_200nM,0.45360812957710944 -2344,GTGGCTCGAGGAGAGGAGCAGCAGCGGTTG,MED12,79.05,1721.0,0.20995671,0,PLX_2uM,0.45360812957710944 -2345,TTACCTCGCAATTGAACTCCATCTCGGCGT,NF2,5.55,33.0,0.7085201790000001,0,PLX_2uM,0.5808032813570432 -2346,CTGCCTCGGACAGTCTGGAAGGGGTGGCCT,CD5,5.47,27.0,0.610878661,0,nodrug,0.5986032526293289 -2347,ATGTCTCGGAGGCTGGCATCACTGAGGCAC,NF1,40.19,1141.0,0.582880435,0,PLX_2uM,0.7428132891044207 -2348,TGAACTCGGCATTCGAGCGAAACTGGGGCT,CD28,36.24,79.0,0.027027027000000002,0,nodrug,0.4311711494462352 -2349,CCTGCTCGTCGAAGCGGCTGACCACGGCCT,NF1,0.49,14.0,0.930706522,1,PLX_2uM,0.5714652623164483 -2350,AGGGCTCTAACAAGCTCTCTTTCAGGGATA,CUL3,81.25,624.0,0.837662338,1,PLX_2uM,0.42661429161126024 -2351,TCAACTCTAACTTTAACTTTGCATTGGTTG,NF1,84.15,2389.0,0.48369565200000003,0,PLX_2uM,0.4384883443076851 -2352,CTACCTCTACCCCAGAAGCCACCCCGGCGA,CD15,63.77,338.0,0.794871795,0,nodrug,0.6218207235312295 -2353,TACTCTCTACCTGAAACATGAACATGGCCA,MED12,11.12,242.0,0.935064935,1,AZD_200nM,0.6218267885590268 -2354,TACTCTCTACCTGAAACATGAACATGGCCA,MED12,11.12,242.0,0.912337662,1,PLX_2uM,0.6218267885590268 -2355,AAGTCTCTACGCAAAGCACGGCCTGGGGTG,CD45,91.5,1034.0,0.097472924,0,nodrug,0.3809939315278009 -2356,AGCTCTCTAGAGCGCTCTGGTGTATGGCTG,MED12,65.46,1425.0,0.14610389599999998,0,AZD_200nM,0.37192908383050877 -2357,AGCTCTCTAGAGCGCTCTGGTGTATGGCTG,MED12,65.46,1425.0,0.143939394,0,PLX_2uM,0.37192908383050877 -2358,CTCACTCTCACTTCGAGGGTCCGCTGGAGG,MED12,26.78,583.0,0.10822510800000001,0,AZD_200nM,0.4378012108814297 -2359,CTCACTCTCACTTCGAGGGTCCGCTGGAGG,MED12,26.78,583.0,0.203463203,0,PLX_2uM,0.4378012108814297 -2360,GAGCCTCTCCGTAGGACGCGCGGTCGGTGA,CD15,42.64,226.0,0.9120879120000001,1,nodrug,0.6538300820415626 -2361,GCTCCTCTCGTTGTCTAGGTAAGGCGGAGG,CD28,56.42,123.0,0.8918918920000001,1,nodrug,0.638913712674722 -2362,GGATCTCTCTTCTTCATGTTGTGTAGGCAT,CD45,66.9,756.0,0.649819495,0,nodrug,0.5429219378423962 -2363,GTATCTCTGAGCCACATTGAGGGGAGGGGA,CCDC101,94.54,277.0,0.7651006709999999,0,AZD_200nM,0.5128349114563211 -2364,TTTGCTCTGCAATTCTGCAGGTACTGGATC,NF2,13.61,81.0,0.143497758,0,PLX_2uM,0.34632209306139183 -2365,TCGCCTCTGCACAAAGCCCTCTTTTGGGTA,NF1,81.58,2316.0,0.880434783,1,PLX_2uM,0.34114597589068946 -2366,CACACTCTGCACAATTCCATGGATTGGATT,NF1,94.47,2682.0,0.626358696,0,PLX_2uM,0.2776515631440203 -2367,CTGGCTCTGCAGTGCAGGAGGGTAAGGAGA,NF1,97.32,2763.0,0.107336957,0,PLX_2uM,0.1444919909130159 -2368,CGTACTCTGCCGACTCTTCCATCTTGGTGA,TADA2B,71.9,302.0,0.16842105300000001,0,AZD_200nM,0.3694654132066335 -2369,CACACTCTGGAACTCCGTTGGAGCAGGCGG,CD13,78.8,762.0,0.774725275,0,nodrug,0.4099872820447745 -2370,AAGTCTCTGGCAGGGGCGTAGGGCTGGTAA,CD28,94.5,206.0,0.554054054,0,nodrug,0.33057019242131935 -2371,CGGACTCTGGGGCTCCGAGAAACCTGGTTC,NF2,9.92,59.0,0.7488789240000001,0,PLX_2uM,0.5046760263729526 -2372,CACGCTCTGGGGGCCCGAGGCCGAGGGCGG,TADA2B,15.71,66.0,0.494736842,0,AZD_200nM,0.44995533593889553 -2373,TGTTCTCTGTCTGCATCCGCTCATGGGTCT,CCDC101,14.68,43.0,0.10067114099999999,0,AZD_200nM,0.49176064813208403 -2374,ACATCTCTGTGGAGACAGCCAGTCTGGATG,MED12,58.52,1274.0,0.029220779,0,AZD_200nM,0.37339469581273965 -2375,ACATCTCTGTGGAGACAGCCAGTCTGGATG,MED12,58.52,1274.0,0.035714286,0,PLX_2uM,0.37339469581273965 -2376,AGAGCTCTTCAAAGAAGGCCACTCGGGACT,NF2,98.99,589.0,0.147982063,0,PLX_2uM,0.25421039589751965 -2377,ACACCTCTTCCTTCTTACTGAAAATGGGGA,MED12,6.25,136.0,0.07034632,0,AZD_200nM,0.14523855870739122 -2378,ACACCTCTTCCTTCTTACTGAAAATGGGGA,MED12,6.25,136.0,0.041125541,0,PLX_2uM,0.14523855870739122 -2379,GTAGCTCTTGTCTGGAGATCCTTGTGGTAA,NF1,41.25,1171.0,0.699728261,0,PLX_2uM,0.6988406871927175 -2380,CCGTCTCTTTAAACAAACTATTGCGGGTGA,CUL3,48.18,370.0,0.045454545,0,PLX_2uM,0.3508608652863268 -2381,GACACTGAAACTTTACGTAAATGTGGGTGC,NF1,91.3,2592.0,0.320652174,0,PLX_2uM,0.3608294794914961 -2382,CTCTCTGAAATAAATGGAGATGCAGGGTCC,CD45,46.81,529.0,0.8916967509999999,1,nodrug,0.6265891223106675 -2383,AGACCTGAAGATAAAGTCACCCTGAGGTGC,H2-K,60.16,222.0,0.98816568,1,nodrug,0.7748426680549105 -2384,AGTTCTGACAAAAATCCTTCAACAAGGCAC,NF1,41.85,1188.0,0.911684783,1,PLX_2uM,0.6956611624808321 -2385,GCAGCTGACAACCAGGAGAAGATCGGGGGT,CD33,48.35,176.0,0.5670995670000001,0,nodrug,0.46298508186792087 -2386,GTCCCTGACCCCACAGAAACTGATGGGCTG,CD43,12.15,48.0,0.869565217,1,nodrug,0.6305933729663353 -2387,ACAACTGACGTCAGTATATCTTTAAGGTGA,TADA1,54.93,184.0,0.055045872,0,AZD_200nM,0.22275784243268726 -2388,GGTGCTGACTATGCGGAGCCCACCTGGAAC,CD13,44.26,428.0,0.34725274700000003,0,nodrug,0.4771919038623748 -2389,CCCACTGAGAACAAGGAACCACATTGGCCA,NF1,43.33,1230.0,0.476902174,0,PLX_2uM,0.7242856449263922 -2390,ATCTCTGAGCCACATTGAGGGGAGGGGAAT,CCDC101,94.2,276.0,0.89261745,1,AZD_200nM,0.5540979632600036 -2391,GGGCCTGAGCCCCGCGCCATGGCCGGGGCC,NF2,0.34,2.0,0.161434978,0,PLX_2uM,0.24858601555465804 -2392,CTGCCTGAGCCCCTCACCCTGAGATGGGGT,H2-K,79.67,294.0,0.136094675,0,nodrug,0.3295035607009003 -2393,TCCGCTGAGCCTGATCTGCCTAGGTGGGTG,CD5,26.92,133.0,0.8619246859999999,1,nodrug,0.5966240743460881 -2394,AGGCCTGAGGGCGGGTCGCCGGGGTGGCTT,CD15,63.96,339.0,0.545787546,0,nodrug,0.44191793381392913 -2395,CAGTCTGATAAAATCTACAGTCATAGGAAT,HPRT1,44.04,96.0,0.09375,0,6TG_2ug/mL,0.4045443463410371 -2396,GGCGCTGATCACCTACGCTTGCTGGGGGCA,CD15,32.26,171.0,0.549450549,0,nodrug,0.5338846560540504 -2397,AAGTCTGCAAACCGTAGGAAGAGCTGGGAG,MED12,88.84,1934.0,0.22077922100000003,0,AZD_200nM,0.33009265776001684 -2398,AAGTCTGCAAACCGTAGGAAGAGCTGGGAG,MED12,88.84,1934.0,0.163419913,0,PLX_2uM,0.33009265776001684 -2399,CCTACTGCACCGATGCTGTTCTGAGGGAAA,NF1,49.28,1399.0,0.525815217,0,PLX_2uM,0.6154407910467306 -2400,CGGGCTGCACCTTGCTGTAGGAGATGGCGT,CD13,49.22,476.0,0.345054945,0,nodrug,0.5330015024102556 -2401,AGATCTGCAGAACCCATATGATGCTGGAGT,CUL3,71.88,552.0,0.772727273,0,PLX_2uM,0.5589448120080733 -2402,GCTCCTGCAGAGCTGAGGGACCCCAGGCCC,CD5,46.56,230.0,0.581589958,0,nodrug,0.4738124691896893 -2403,CGCTCTGCAGAGGAGCCATCGGACCGGTTC,MED12,44.19,962.0,0.757575758,0,AZD_200nM,0.5926932394934628 -2404,CGCTCTGCAGAGGAGCCATCGGACCGGTTC,MED12,44.19,962.0,0.745670996,0,PLX_2uM,0.5926932394934628 -2405,AGTTCTGCAGCCAGGGGCCGGGGACGGTGG,CD5,62.75,310.0,0.510460251,0,nodrug,0.4267490486081098 -2406,CCCTCTGCAGCCTGAAGAAGGAGATGGTGT,NF1,38.39,1090.0,0.364130435,0,PLX_2uM,0.6193375781445585 -2407,AGAACTGCAGCGGTACCGGCGAAACGGGAT,TADA2B,70.48,296.0,0.021052632,0,AZD_200nM,0.38110132836894006 -2408,TCACCTGCAGGTAGTGGCTGGTTCTGGGTG,MED12,84.75,1845.0,0.081168831,0,AZD_200nM,0.13488264299700972 -2409,TCACCTGCAGGTAGTGGCTGGTTCTGGGTG,MED12,84.75,1845.0,0.06818181799999999,0,PLX_2uM,0.13488264299700972 -2410,TCCTCTGCAGTTTCTCCCTATTACCGGACA,CCDC101,18.77,55.0,0.228187919,0,AZD_200nM,0.3953119357874658 -2411,TGAGCTGCATGAGGCGCTGCGCCTGGGCAC,MED12,60.5,1317.0,0.192640693,0,AZD_200nM,0.45959721184470836 -2412,TGAGCTGCATGAGGCGCTGCGCCTGGGCAC,MED12,60.5,1317.0,0.18398268399999998,0,PLX_2uM,0.45959721184470836 -2413,TCCTCTGCCACTCACACAGGACTATGGAAT,MED12,82.73,1801.0,0.134199134,0,AZD_200nM,0.23545389942633813 -2414,TCCTCTGCCACTCACACAGGACTATGGAAT,MED12,82.73,1801.0,0.14610389599999998,0,PLX_2uM,0.23545389942633813 -2415,ATGGCTGCCCACGTTGGTGCTTCCCGGACT,TADA2B,23.81,100.0,0.047368420999999994,0,AZD_200nM,0.36062021171862385 -2416,CTTTCTGCCTCGGACAGTCTGGAAGGGGTG,CD5,5.26,26.0,0.267782427,0,nodrug,0.5405796219131127 -2417,CCCTCTGCGCATGGTCTTCCGGGGTGGCTC,CCDC101,37.88,111.0,0.416107383,0,AZD_200nM,0.6190383135396581 -2418,AGTACTGCGTGTACTGCCTGGCCGAGGTGA,TADA2B,3.33,14.0,0.831578947,1,AZD_200nM,0.6139430829637312 -2419,TCACCTGCTAGAGCTCTTCAAAGAAGGCCA,NF2,99.5,592.0,0.125560538,0,PLX_2uM,0.2932757606378684 -2420,CCATCTGCTCACTTGAATTCTGAGGGGCGG,CD13,59.77,578.0,0.640659341,0,nodrug,0.6967540785689885 -2421,CAGGCTGCTCAGGGCGGCCTCCCAGGGCAT,CD13,71.98,696.0,0.158241758,0,nodrug,0.4096035357086217 -2422,GGTCCTGCTGAACCTCAATGTGACGGGCTA,CD13,64.74,626.0,0.474725275,0,nodrug,0.6003382616768522 -2423,TCATCTGCTGAACTTCCAAAGAATCGGCTT,NF2,52.94,315.0,0.412556054,0,PLX_2uM,0.5005550262050258 -2424,GCTACTGCTGCCCCTGCTGTGGGCAGGTGA,CD33,3.02,11.0,0.435064935,0,nodrug,0.4975004426542434 -2425,CAGCCTGCTGCTCAGCATCATCAGGGGGTG,TADA1,74.93,251.0,0.48623853200000006,0,AZD_200nM,0.5401879478380526 -2426,GCTGCTGCTGCTGCTCAGGTAGGATGGCTG,MED12,94.07,2048.0,0.123376623,0,AZD_200nM,0.2515533763907851 -2427,GCTGCTGCTGCTGCTCAGGTAGGATGGCTG,MED12,94.07,2048.0,0.090909091,0,PLX_2uM,0.2515533763907851 -2428,GGGCCTGCTGGTGCACATAGCCACTGGGCC,MED12,91.73,1997.0,0.25432900399999997,0,AZD_200nM,0.2554128915659857 -2429,GGGCCTGCTGGTGCACATAGCCACTGGGCC,MED12,91.73,1997.0,0.194805195,0,PLX_2uM,0.2554128915659857 -2430,CCTGCTGCTGTCTGCCATCTCTGATGGATG,CD13,61.22,592.0,0.49670329700000004,0,nodrug,0.4446458289535361 -2431,AAAGCTGCTGTCTGTTGCTGCTGCTGGGTC,MED12,98.62,2147.0,0.011904762,0,AZD_200nM,-0.0003986354652024469 -2432,AAAGCTGCTGTCTGTTGCTGCTGCTGGGTC,MED12,98.62,2147.0,0.010822511000000002,0,PLX_2uM,-0.0003986354652024469 -2433,CGTGCTGCTGTGGTGGGAGCCCTTCGGGGG,CD15,37.17,197.0,0.252747253,0,nodrug,0.2845290058556117 -2434,ATATCTGCTTCCTCACAGAGGTGGCGGAAA,NF1,25.08,712.0,0.47418478299999994,0,PLX_2uM,0.5997845846608506 -2435,TGACCTGCTTCTTCAGGTAGTTCTGGGGAA,CD13,74.46,720.0,0.115384615,0,nodrug,0.27351196721300747 -2436,GCTGCTGCTTGGAGTGGATGCCCTGGGGCT,NF2,40.0,238.0,0.7757847529999999,0,PLX_2uM,0.4472522236892556 -2437,CATGCTGGAAGGCCTGGAAGCAGAGGGCAA,CD45,62.04,701.0,0.512635379,0,nodrug,0.6056455943949669 -2438,GCTGCTGGACGCCATCGAGCAGTTCGGCTT,TADA2B,20.0,84.0,0.947368421,1,AZD_200nM,0.5575169567477135 -2439,TCAACTGGACGCTCTCCTACCGGGCGGACT,CD15,60.57,321.0,0.655677656,0,nodrug,0.7944540056593576 -2440,AGACCTGGAGACAAGGTGGCTGCCCGGGTG,CCDC101,55.97,164.0,0.29530201300000003,0,AZD_200nM,0.49330803508425886 -2441,GGTGCTGGATCTTTGCCTTGGCCAGGGGGT,TADA1,25.67,86.0,0.43119266100000003,0,AZD_200nM,0.4101833626996557 -2442,AAGGCTGGCACCAGATTGTAGTCACGGGCG,TADA2B,53.57,225.0,0.605263158,0,AZD_200nM,0.62122698918437 -2443,AAGTCTGGCAGGCCAATCTGGTCTGGGGAG,CD13,35.37,342.0,0.324175824,0,nodrug,0.4633191914655447 -2444,CCCTCTGGCATGGGCAGGTTGGACGGGGCA,MED12,18.47,402.0,0.8441558440000001,1,AZD_200nM,0.4284021257835527 -2445,CCCTCTGGCATGGGCAGGTTGGACGGGGCA,MED12,18.47,402.0,0.854978355,1,PLX_2uM,0.4284021257835527 -2446,AGCGCTGGCCCGGGGGCCTGGGGCTGGAGG,CD15,53.77,285.0,0.128205128,0,nodrug,0.2570605490978592 -2447,TGGTCTGGCCGACAGTTGGATAGGTGGCTG,NF1,88.34,2508.0,0.838315217,1,PLX_2uM,0.491543736876772 -2448,CTGACTGGCCTCAAAGGTAGCAAAAGGCTT,NF1,60.02,1704.0,0.7214673909999999,0,PLX_2uM,0.5781100525485952 -2449,GTCACTGGCTACATTTGATGGTTCTGGAAG,CD43,29.62,117.0,0.27536231899999997,0,nodrug,0.26700877007544804 -2450,TGGCCTGGCTCAAAATGGACAAGAAGGTTG,NF2,13.28,79.0,0.98206278,1,PLX_2uM,0.6239110772113946 -2451,GCTGCTGGCTGCCACATACCTGCTGGGAAC,CD5,2.63,13.0,0.907949791,1,nodrug,0.5926441916718997 -2452,CTGGCTGGCTGCGTTTCTTGCCCTTGGTGG,MED12,82.18,1789.0,0.16991342,0,AZD_200nM,0.3113906550533645 -2453,CTGGCTGGCTGCGTTTCTTGCCCTTGGTGG,MED12,82.18,1789.0,0.153679654,0,PLX_2uM,0.3113906550533645 -2454,GCAGCTGGCTTACCAAGTTCCAGGTGGGCT,CD13,44.36,429.0,0.564835165,0,nodrug,0.6379744074064222 -2455,ATGACTGGCTTCCTTTGTGCCCTTGGGGGA,NF1,29.83,847.0,0.251358696,0,PLX_2uM,0.2746691396785639 -2456,GCTCCTGGGAAAGGGTCCCCGTGCTGGTAT,CD13,57.7,558.0,0.35824175799999997,0,nodrug,0.49163557801832886 -2457,TTACCTGGGAAGTCTGCAAACCGTAGGAAG,MED12,88.98,1937.0,0.378787879,0,AZD_200nM,0.466504719284634 -2458,TTACCTGGGAAGTCTGCAAACCGTAGGAAG,MED12,88.98,1937.0,0.334415584,0,PLX_2uM,0.466504719284634 -2459,GCCACTGGGACGAGCGCCAGGCCCGGGTCC,CD15,69.62,369.0,0.816849817,1,nodrug,0.46907365149190805 -2460,CGGGCTGGGCAAGATGGCGGCCTTCGGGAT,MED12,0.14,3.0,0.106060606,0,AZD_200nM,0.30339607474133157 -2461,CGGGCTGGGCAAGATGGCGGCCTTCGGGAT,MED12,0.14,3.0,0.083333333,0,PLX_2uM,0.30339607474133157 -2462,TCTCCTGGGCACAGAGGAACCCGGGGGAGG,CD5,68.42,338.0,0.90376569,1,nodrug,0.731476743222594 -2463,CGCCCTGGGCACTCATTGGAGTCATGGTAC,MED12,93.29,2031.0,0.253246753,0,AZD_200nM,0.3011309249566515 -2464,CGCCCTGGGCACTCATTGGAGTCATGGTAC,MED12,93.29,2031.0,0.244588745,0,PLX_2uM,0.3011309249566515 -2465,TGGTCTGGGCTTGTCGGCAAATCGGGGGGG,NF1,23.92,679.0,0.25,0,PLX_2uM,0.37426361567310334 -2466,AGAACTGGGGACTGGTGACCTACCGGGAGA,CD13,37.44,362.0,0.508791209,0,nodrug,0.6186896031257404 -2467,GCTTCTGGGGTAGAGGTAGCCATAAGGCAC,CD15,62.45,331.0,0.505494505,0,nodrug,0.5534946984560352 -2468,GGGCCTGGGGTCCCTCAGCTCTGCAGGAGC,CD5,45.75,226.0,0.087866109,0,nodrug,0.3872851702323719 -2469,TACACTGGTACTGGTACACAGTTCTGGGCT,CD45,83.36,942.0,0.21299639,0,nodrug,0.2751279312783287 -2470,CGTGCTGGTATCCACCGTGATGACCGGGAA,CD13,57.08,552.0,0.32637362600000003,0,nodrug,0.4945202393470498 -2471,CTACCTGGTATTCAGCCTCCAGAGGGGAGG,CD45,68.14,770.0,0.6425992779999999,0,nodrug,0.7036692189861358 -2472,GTGGCTGGTCGTAAAGAACCCCAAGGGTCC,MED12,33.21,723.0,0.812770563,1,AZD_200nM,0.7481536821373054 -2473,GTGGCTGGTCGTAAAGAACCCCAAGGGTCC,MED12,33.21,723.0,0.791125541,0,PLX_2uM,0.7481536821373054 -2474,TTCGCTGGTCTTTCGATAAATGCCAGGAAG,MED12,20.4,444.0,0.832251082,1,AZD_200nM,0.5621835050849128 -2475,TTCGCTGGTCTTTCGATAAATGCCAGGAAG,MED12,20.4,444.0,0.8787878790000001,1,PLX_2uM,0.5621835050849128 -2476,CAGGCTGGTGAAGCAGAGAGACTCAGGGCC,H2-K,47.97,177.0,0.644970414,0,nodrug,0.4953192176862875 -2477,GTACCTGGTGCACCTGGCTGTAGAGGGAGG,MED12,69.09,1504.0,0.325757576,0,AZD_200nM,0.5251427732229308 -2478,GTACCTGGTGCACCTGGCTGTAGAGGGAGG,MED12,69.09,1504.0,0.346320346,0,PLX_2uM,0.5251427732229308 -2479,ATCGCTGGTGCTAACATGTCTGAAAGGGCA,MED12,68.4,1489.0,0.40692640700000005,0,AZD_200nM,0.5749760484398717 -2480,ATCGCTGGTGCTAACATGTCTGAAAGGGCA,MED12,68.4,1489.0,0.395021645,0,PLX_2uM,0.5749760484398717 -2481,AGGGCTGGTTGGAGAGGGTGACGCGGGAGC,THY1,48.77,79.0,0.85483871,1,nodrug,0.5702776489020053 -2482,TGCTCTGGTTGTAGTAGCCGAGCAGGGTCC,H2-K,27.91,103.0,0.8875739640000001,1,nodrug,0.6760922843293938 -2483,TTCACTGGTTTCTTCATCAATTCCAGGCAG,NF1,96.72,2746.0,0.11956521699999999,0,PLX_2uM,0.09325894005012098 -2484,GGGGCTGGTTTGGAACAGTCCGAGTGGACC,MED12,78.5,1709.0,0.666666667,0,AZD_200nM,0.6157191289644245 -2485,GGGGCTGGTTTGGAACAGTCCGAGTGGACC,MED12,78.5,1709.0,0.67965368,0,PLX_2uM,0.6157191289644245 -2486,TCACCTGTCACATGCACAGAGAGCTGGGGA,CD33,36.81,134.0,0.42207792200000005,0,nodrug,0.4598147990435849 -2487,ACACCTGTCAGCAAATTTATGGATCGGCTG,NF1,31.56,896.0,0.667119565,0,PLX_2uM,0.6035516174327875 -2488,GCCCCTGTCATTGGGGGTGAGGTACGGTCT,CD13,9.62,93.0,0.420879121,0,nodrug,0.5651743235908229 -2489,AGCCCTGTCCAACATGCTTCCCAAAGGTGA,CD13,25.96,251.0,0.6758241759999999,0,nodrug,0.6685115050602827 -2490,TACGCTGTCCACATCACCTCCTTCTGGGAC,CD15,94.15,499.0,0.362637363,0,nodrug,0.18719781046578512 -2491,TTACCTGTCCATAATTAGTCCATGAGGAAT,HPRT1,18.35,40.0,0.546875,0,6TG_2ug/mL,0.7089667292349322 -2492,ACATCTGTCCGGGACAGAGGCAGCAGGGAC,CD5,44.13,218.0,0.066945607,0,nodrug,0.49410605119027495 -2493,TCAACTGTCTCATCCCGGGGCCCTAGGAGT,CD45,48.94,553.0,0.353790614,0,nodrug,0.4572533511340228 -2494,CTGGCTGTCTCCACAGAGATGTTGCGGCCA,MED12,58.2,1267.0,0.6861471859999999,0,AZD_200nM,0.6263427878963983 -2495,CTGGCTGTCTCCACAGAGATGTTGCGGCCA,MED12,58.2,1267.0,0.814935065,1,PLX_2uM,0.6263427878963983 -2496,TCAGCTGTCTCCTCAGACCGCATCTGGAGG,NF2,63.03,375.0,0.322869955,0,PLX_2uM,0.379769351612547 -2497,CCGCCTGTCTCTTCTCCAGGAGCTTGGCTA,MED12,24.25,528.0,0.888528139,1,AZD_200nM,0.5550968903802885 -2498,CCGCCTGTCTCTTCTCCAGGAGCTTGGCTA,MED12,24.25,528.0,0.922077922,1,PLX_2uM,0.5550968903802885 -2499,AGCTCTGTGAGAAGTTCTGCAATGCGGGAA,CCDC101,3.41,10.0,0.32885906,0,AZD_200nM,0.6567723893020516 -2500,CTTCCTGTGCCTGCAGAAGGAGTTGGGGGA,MED12,74.55,1623.0,0.12012987,0,AZD_200nM,0.28953602120977384 -2501,CTTCCTGTGCCTGCAGAAGGAGTTGGGGGA,MED12,74.55,1623.0,0.04978355,0,PLX_2uM,0.28953602120977384 -2502,TGTTCTGTGCCTTGTTCAATCTCTTGGAAA,CD45,89.38,1010.0,0.079422383,0,nodrug,0.20375916144179315 -2503,CCCGCTGTGGGGGCGCATGGATCAGGGCGC,CCDC101,84.98,249.0,0.859060403,1,AZD_200nM,0.4427950566164796 -2504,TCGCCTGTGGTAAACCAACACAGCGGGTTC,CUL3,83.46,641.0,0.7987012990000001,0,PLX_2uM,0.5581268956717135 -2505,GCTGCTGTGGTGGGAGCCCTTCGGGGGGCG,CD15,37.36,198.0,0.732600733,0,nodrug,0.5049989432277504 -2506,CAGGCTGTGTGGCGTCGTGAAGCATGGGAT,MED12,43.91,956.0,0.792207792,0,AZD_200nM,0.5537225129459591 -2507,CAGGCTGTGTGGCGTCGTGAAGCATGGGAT,MED12,43.91,956.0,0.8506493509999999,1,PLX_2uM,0.5537225129459591 -2508,TCCACTGTTACAGTGGCCAGTGGTAGGGGA,NF1,98.8,2805.0,0.025815217,0,PLX_2uM,0.18856469526006572 -2509,CTTACTGTTCTGGTTCACTCCTGTGGGGCC,CD5,85.22,421.0,0.234309623,0,nodrug,0.40606916508303004 -2510,ATGGCTGTTGAACGGACGCCTGCCTGGACG,MED12,93.71,2040.0,0.062770563,0,AZD_200nM,0.1277852361828417 -2511,ATGGCTGTTGAACGGACGCCTGCCTGGACG,MED12,93.71,2040.0,0.074675325,0,PLX_2uM,0.1277852361828417 -2512,CTGACTGTTGGAAAACCTCGATTGTGGCCT,MED12,63.71,1387.0,0.972943723,1,AZD_200nM,0.7566336627415072 -2513,CTGACTGTTGGAAAACCTCGATTGTGGCCT,MED12,63.71,1387.0,0.945887446,1,PLX_2uM,0.7566336627415072 -2514,GTCTCTGTTGGAAGAGAGGCGGATTGGTGA,CCDC101,32.42,95.0,0.17449664399999998,0,AZD_200nM,0.5660410844897831 -2515,CTTACTGTTTCACGTTGTCCCCCAGGGCCT,TADA1,5.97,20.0,0.8440366970000001,1,AZD_200nM,0.58059125559076 -2516,TGTCCTGTTTCCGCCACCTCTGTGAGGAAG,NF1,25.15,714.0,0.993206522,1,PLX_2uM,0.6842785279768062 -2517,GCCCCTGTTTCCTGGACAGTGGCGGGGCCA,CD15,65.85,349.0,0.9706959709999999,1,nodrug,0.6219281310290018 -2518,TTTACTTAAGAAATAACTGTGATTTGGCTT,NF1,38.75,1100.0,0.21875,0,PLX_2uM,0.2872904187023866 -2519,GTAGCTTACAACAACTTAATAGAAAGGTAA,TADA1,68.66,230.0,0.532110092,0,AZD_200nM,0.5531238932982314 -2520,AATACTTACACAAAGCAAGAGCTTTGGATC,NF1,17.82,506.0,0.633152174,0,PLX_2uM,0.527158641973101 -2521,TCTCCTTACCCCATCTCAGGGTGAGGGGCT,H2-K,79.13,292.0,0.142011834,0,nodrug,0.4084480762523601 -2522,TTTACTTACCTGGATATAGTCAACAGGATT,CUL3,44.27,340.0,0.805194805,1,PLX_2uM,0.5009389023025106 -2523,CCCTCTTACCTGTGGGCTCCGGCACGGTGG,CD5,30.57,151.0,0.334728033,0,nodrug,0.5855206921501286 -2524,GGAGCTTACTGTTGTAGCCACAGAGGGTCC,CD43,44.05,174.0,0.898550725,1,nodrug,0.7043792099066473 -2525,TTTTCTTAGAGACTTCCTTCATACAGGAGT,CD45,69.03,780.0,0.32490974699999997,0,nodrug,0.4153986898665941 -2526,CAATCTTAGGCCACCAATCCAATGCGGACT,NF1,14.9,423.0,0.9660326090000001,1,PLX_2uM,0.7854368303846444 -2527,CCTCCTTAGGCTTCACCATTGGACGGGTAC,MED12,20.85,454.0,0.591991342,0,AZD_200nM,0.5739069979897226 -2528,CCTCCTTAGGCTTCACCATTGGACGGGTAC,MED12,20.85,454.0,0.691558442,0,PLX_2uM,0.5739069979897226 -2529,TCCTCTTATAAGACCTCTGTGTACCGGCAG,MED12,87.18,1898.0,0.535714286,0,AZD_200nM,0.450871680475371 -2530,TCCTCTTATAAGACCTCTGTGTACCGGCAG,MED12,87.18,1898.0,0.34307359299999995,0,PLX_2uM,0.450871680475371 -2531,CTGGCTTATATCCAACACTTCGTGGGGTCC,HPRT1,77.98,170.0,0.5,0,6TG_2ug/mL,0.5831401377281489 -2532,CCAGCTTATTAACACGAAGCTTTGAGGAGT,NF2,48.57,289.0,0.206278027,0,PLX_2uM,0.4652326257691476 -2533,TGTCCTTCAACAATTCCCTTGATGTGGCAG,NF1,73.79,2095.0,0.355978261,0,PLX_2uM,0.5146462168709492 -2534,GTCCCTTCAATCTTCTCCTTGGGTGGGGGC,MED12,32.8,714.0,0.295454545,0,AZD_200nM,0.4092624025610826 -2535,GTCCCTTCAATCTTCTCCTTGGGTGGGGGC,MED12,32.8,714.0,0.300865801,0,PLX_2uM,0.4092624025610826 -2536,CGAACTTCACCTGACAGGTCAGGTTGGTGC,CD33,57.69,210.0,0.554112554,0,nodrug,0.6267121923730833 -2537,GGCGCTTCACGCTCTGGGGGCCCGAGGCCG,TADA2B,15.24,64.0,0.9263157890000001,1,AZD_200nM,0.6150358840245579 -2538,TCAACTTCACTGCAGTCATTCAAAAGGTTC,NF1,39.24,1114.0,0.005434783,0,PLX_2uM,0.40944561193854406 -2539,CTGCCTTCAGCCTCCTTGTGCTCTGGGTCA,MED12,29.63,645.0,0.057359307000000005,0,AZD_200nM,0.36657403816091266 -2540,CTGCCTTCAGCCTCCTTGTGCTCTGGGTCA,MED12,29.63,645.0,0.04437229400000001,0,PLX_2uM,0.36657403816091266 -2541,CCTGCTTCAGCTGATCTGCCTCTTTGGCCC,NF2,75.63,450.0,0.031390135,0,PLX_2uM,0.1496321953717165 -2542,GTACCTTCATGGGGCCATAGACCTCGGAGC,CD13,73.84,714.0,0.696703297,0,nodrug,0.5596678802482927 -2543,CACTCTTCCAAAAATTCTAACGTGAGGTGT,NF1,67.74,1923.0,0.8790760870000001,1,PLX_2uM,0.6241391061038861 -2544,AAATCTTCCACACAGATTCCCCAAAGGCCC,H2-K,55.83,206.0,0.958579882,1,nodrug,0.6963005884790797 -2545,AGTGCTTCCAGAAAACAACGGCCCAGGAGG,CD5,51.82,256.0,0.45606694600000003,0,nodrug,0.543628194288499 -2546,GAACCTTCCAGAAGTGGGCATCTGTGGTGG,H2-K,72.36,267.0,0.27218934899999997,0,nodrug,0.5103364006811925 -2547,AGAACTTCCAGAGGAGGAGGGAGGAGGTGG,MED12,57.6,1254.0,0.196969697,0,AZD_200nM,0.523195226808803 -2548,AGAACTTCCAGAGGAGGAGGGAGGAGGTGG,MED12,57.6,1254.0,0.29004329,0,PLX_2uM,0.523195226808803 -2549,GAAGCTTCCCAAGGCTTCCCCAGAAGGGAT,CD45,86.64,979.0,0.476534296,0,nodrug,0.5093047904683874 -2550,ACGACTTCCCAAGTGCCTCCTCCCTGGCCT,CD15,88.11,467.0,0.879120879,1,nodrug,0.4755278304136408 -2551,AGTCCTTCCCATGCTTCGATGAGCCGGCCA,CD13,23.37,226.0,0.31978022,0,nodrug,0.5157724645629842 -2552,CAGGCTTCCCGATCCACAGGGGCAGGGTCA,CCDC101,44.71,131.0,0.677852349,0,AZD_200nM,0.5842880844613755 -2553,TGCGCTTCCGCTGCACCGAGTGCCAGGACA,TADA2B,6.19,26.0,0.31578947399999996,0,AZD_200nM,0.4485366895263842 -2554,CAGCCTTCCTGGGGAAGGACAAGAAGGAGA,TADA2B,56.43,237.0,0.331578947,0,AZD_200nM,0.5635719844169506 -2555,ACCTCTTCCTTCTTACTGAAAATGGGGACC,MED12,6.2,135.0,0.550865801,0,AZD_200nM,0.6396186621920116 -2556,ACCTCTTCCTTCTTACTGAAAATGGGGACC,MED12,6.2,135.0,0.524891775,0,PLX_2uM,0.6396186621920116 -2557,CATGCTTCGATGAGCCGGCCATGAAGGCCG,CD13,23.68,229.0,0.567032967,0,nodrug,0.5478941283479122 -2558,CTGGCTTCGATTCCATCTTCAAGAAGGAGG,MED12,76.85,1673.0,0.765151515,0,AZD_200nM,0.49569297155863856 -2559,CTGGCTTCGATTCCATCTTCAAGAAGGAGG,MED12,76.85,1673.0,0.703463203,0,PLX_2uM,0.49569297155863856 -2560,CGGGCTTCTACCGCAGCGAGTACATGGAGG,CD13,20.48,198.0,0.516483516,0,nodrug,0.5056730007133726 -2561,TTTTCTTCTAGAATGTCTTGATTGTGGAAG,HPRT1,60.55,132.0,0.59375,0,6TG_2ug/mL,0.530870075251938 -2562,AGGGCTTCTATATTTCCAAGTCCCTGGGCA,CD13,1.03,10.0,0.378021978,0,nodrug,0.4550507551889374 -2563,GCAACTTCTTCAGTGGTCCCATTGTGGTGC,CD45,59.73,675.0,0.42960288799999996,0,nodrug,0.5909905685365375 -2564,ACTTCTTCTTGCGTTCCTCAGTACTGGGTG,MED12,81.72,1779.0,0.14285714300000002,0,AZD_200nM,0.3120215059356976 -2565,ACTTCTTCTTGCGTTCCTCAGTACTGGGTG,MED12,81.72,1779.0,0.135281385,0,PLX_2uM,0.3120215059356976 -2566,TCTCCTTCTTGTCCTTCCCCAGGAAGGCTG,TADA2B,55.48,233.0,0.526315789,0,AZD_200nM,0.5280538403228656 -2567,ATAGCTTCTTGTCTCCAGGTCTGTAGGTTT,NF1,17.01,483.0,0.91576087,1,PLX_2uM,0.554153341381988 -2568,CCTGCTTCTTTACAGGTTATTGGAAGGATG,NF1,72.28,2052.0,0.536684783,0,PLX_2uM,0.5145266430666601 -2569,TGGCCTTCTTTGAAGAGCTCTAGCAGGTGA,NF2,101.0,945.3352535,0.02690583,0,PLX_2uM,0.18064253761683416 -2570,TGTTCTTGCAACAATAGCAGGTGAAGGATG,NF1,84.64,2403.0,0.466032609,0,PLX_2uM,0.5167975679160676 -2571,CTCACTTGCACTCAGCCTCTGCATCGGCCT,CCDC101,23.89,70.0,0.5100671139999999,0,AZD_200nM,0.5569566208076874 -2572,TATACTTGCACTCTCATCTCCCGAGGGGAC,MED12,28.53,621.0,0.91017316,1,AZD_200nM,0.6733832218454686 -2573,TATACTTGCACTCTCATCTCCCGAGGGGAC,MED12,28.53,621.0,0.9361471859999999,1,PLX_2uM,0.6733832218454686 -2574,TTTCCTTGCAGAATCCAAGAAAACAGGGGC,NF1,18.07,513.0,0.341032609,0,PLX_2uM,0.3981904844444015 -2575,GTTACTTGCCAGGCTTCGCAGCCCCGGGGA,CD15,57.74,306.0,0.73992674,0,nodrug,0.4585171308436587 -2576,GACCCTTGCCCAGTACCTGAGAGCAGGAGA,THY1,6.79,11.0,0.596774194,0,nodrug,0.6116324486405547 -2577,GGCCCTTGCCCCATGATGTAGAGGTGGCAA,MED12,10.43,227.0,0.554112554,0,AZD_200nM,0.6698389797745219 -2578,GGCCCTTGCCCCATGATGTAGAGGTGGCAA,MED12,10.43,227.0,0.5476190479999999,0,PLX_2uM,0.6698389797745219 -2579,ATACCTTGCGACCTTGACCATCTTTGGATT,HPRT1,72.02,157.0,0.0625,0,6TG_2ug/mL,0.2545823613118016 -2580,TGTGCTTGCTGCTGCCACCCCTGTCGGAGT,NF2,95.46,568.0,0.089686099,0,PLX_2uM,0.26285363595714645 -2581,ATGTCTTGCTGGAAACTTCCTGAGAGGCAG,CD43,26.33,104.0,0.971014493,1,nodrug,0.6989622745633134 -2582,GGGACTTGGAAATATAGAAGCCCTTGGCCA,CD13,0.41,4.0,0.68021978,0,nodrug,0.5677022594938805 -2583,TGTCCTTGGAGCTGCAATAGTCACTGGAGC,H2-K,86.45,319.0,0.40828402399999997,0,nodrug,0.4920791996377017 -2584,GATCCTTGGCAGAAGACCTGGTTCTGGGGT,CD5,20.65,102.0,0.410041841,0,nodrug,0.3048354943323612 -2585,CGTACTTGGCATAGACATCCAGACTGGCTG,MED12,58.57,1275.0,0.805194805,1,AZD_200nM,0.6289714933870292 -2586,CGTACTTGGCATAGACATCCAGACTGGCTG,MED12,58.57,1275.0,0.876623377,1,PLX_2uM,0.6289714933870292 -2587,TGGCCTTGGCGATGTTCTCCAAGAGGGAGT,MED12,63.34,1379.0,0.5281385279999999,0,AZD_200nM,0.6563097557915204 -2588,TGGCCTTGGCGATGTTCTCCAAGAGGGAGT,MED12,63.34,1379.0,0.616883117,0,PLX_2uM,0.6563097557915204 -2589,GTGGCTTGGGATCAATAAAAGCTGAGGTGA,NF1,71.43,2028.0,0.42798913,0,PLX_2uM,0.5837668329742998 -2590,GAAGCTTGGTATGTCAGGAGGCAACGGTGC,NF2,82.69,492.0,0.26905829600000003,0,PLX_2uM,0.4955545071177835 -2591,TTGGCTTGGTGACCTGGTGGTTATGGGATC,CD43,60.25,238.0,0.10869565199999999,0,nodrug,0.2731363654215798 -2592,CATCCTTGGTGGTGAAGTTGGCTAGGGTAA,THY1,57.41,93.0,0.983870968,1,nodrug,0.6217603795763716 -2593,GATACTTGGTGTACTCCCTGACCCAGGAGT,NF1,59.39,1686.0,0.730978261,0,PLX_2uM,0.7178805758960713 -2594,CAGTCTTGTCAATGTCGGGGGGCTGGGAGC,CD13,15.2,147.0,0.124175824,0,nodrug,0.41077647147145074 -2595,GGAGCTTGTGGAGACCAGGCCTGCAGGGGA,H2-K,69.38,256.0,0.207100592,0,nodrug,0.3808617377664142 -2596,TTATCTTGTGTCCAGAAATAATCCAGGATA,NF1,9.9,281.0,0.95923913,1,PLX_2uM,0.6147184812725918 -2597,AGAGCTTGTTGTCACAGTGGTGGGGGGTGC,CD43,40.51,160.0,0.463768116,0,nodrug,0.6204479925112657 -2598,AGCTCTTGTTTCTGAAGAAGGAGAAGGAAA,CUL3,43.36,333.0,0.162337662,0,PLX_2uM,0.5719521936022461 -2599,CCTACTTTAGAACAACATCTTATGTGGGAT,NF1,73.05,2074.0,0.470108696,0,PLX_2uM,0.4718276754229257 -2600,TTCCCTTTCAACCACCTTTACAATTGGTTC,CUL3,33.98,261.0,0.064935065,0,PLX_2uM,0.3391751091465657 -2601,CATCCTTTCCTTGCAGGGCCAAAGAGGCAG,NF2,75.46,449.0,0.789237668,0,PLX_2uM,0.5175741249620938 -2602,CCTGCTTTCTAGCCTTCTCCTCCCTGGCCT,NF2,54.96,327.0,0.47533632299999995,0,PLX_2uM,0.46713082588411386 -2603,GGCTCTTTCTTGACACATCTGTCCGGGACA,CD5,43.32,214.0,0.514644351,0,nodrug,0.5000509259597836 -2604,CGTTCTTTGCGTGAAGAGGAACCCAGGTGC,MED12,66.97,1458.0,0.852813853,1,AZD_200nM,0.7060582355682128 -2605,CGTTCTTTGCGTGAAGAGGAACCCAGGTGC,MED12,66.97,1458.0,0.852813853,1,PLX_2uM,0.7060582355682128 -2606,GAATCTTTGGATTGGGACCTAGCAAGGATG,MED12,22.51,490.0,0.248917749,0,AZD_200nM,0.5656818451464326 -2607,GAATCTTTGGATTGGGACCTAGCAAGGATG,MED12,22.51,490.0,0.222943723,0,PLX_2uM,0.5656818451464326 -2608,TCACCTTTGGGAAGCATGTTGGACAGGGCT,CD13,25.54,247.0,0.103296703,0,nodrug,0.4376029036480292 -2609,TCCTCTTTGGGGCATGCTGGGTCCAGGTGG,CD43,3.54,14.0,0.15942029,0,nodrug,0.38217936590100715 -2610,ACTACTTTGGGTACCTTTGAGTGGAGGTCA,MED12,92.47,2013.0,0.677489177,0,AZD_200nM,0.4164037038339886 -2611,ACTACTTTGGGTACCTTTGAGTGGAGGTCA,MED12,92.47,2013.0,0.688311688,0,PLX_2uM,0.4164037038339886 -2612,TGCACTTTGGTGTGGCTGACTGAGTGGGCC,CUL3,67.19,516.0,0.9870129870000001,1,PLX_2uM,0.5090038043076662 -2613,AGGACTTTGTCCAGGTAGCTAGGAAGGCGG,TADA2B,93.81,394.0,0.373684211,0,AZD_200nM,0.3962397893594386 -2614,CGACCTTTGTGAGCGAGCTGGAGGCGGCCA,TADA1,2.69,9.0,0.577981651,0,AZD_200nM,0.5722566569762735 -2615,AGGGCTTTGTGCAGAGGCGAGTCCTGGCAA,NF1,81.3,2308.0,0.471467391,0,PLX_2uM,0.37314204578486454 -2616,GTTGGAAAACCTCGATTGTGGCCTTGGCGA,MED12,63.62,1385.0,0.031385281,0,AZD_200nM,0.4542722821126699 -2617,GTTGGAAAACCTCGATTGTGGCCTTGGCGA,MED12,63.62,1385.0,0.05952381,0,PLX_2uM,0.4542722821126699 -2618,TCATGAAAAGATAGGTCACTGACCTGGAGG,MED12,51.4,1119.0,0.9339826840000001,1,AZD_200nM,0.6311621987375863 -2619,TCATGAAAAGATAGGTCACTGACCTGGAGG,MED12,51.4,1119.0,0.996753247,1,PLX_2uM,0.6311621987375863 -2620,ATGTGAAAAGATGACAAACCTGGTAGGATC,NF1,46.67,1325.0,0.6209239129999999,0,PLX_2uM,0.6773880403506608 -2621,CGAGGAAAAGCAGGTACGAGGCCAGGGAGG,CD15,88.49,469.0,0.315018315,0,nodrug,0.4396966729705039 -2622,CCAGGAAACAGGGGCTGGTGGCATGGGTGG,CD15,67.55,358.0,0.615384615,0,nodrug,0.3886292070642382 -2623,TCCAGAAACGCCTAAGCCTAGTTGTGGGGA,CD45,19.47,220.0,0.740072202,0,nodrug,0.5852431856021583 -2624,AACAGAAACTACCTGCTGCCACCTTGGCTT,NF1,60.94,1730.0,0.86548913,1,PLX_2uM,0.6243321123369703 -2625,CTCGGAAACTCTGCTCATTGCCCTTGGCTT,H2-K,24.39,90.0,0.928994083,1,nodrug,0.48656680024336113 -2626,TCCAGAAACTGCAGGAGGACATCCTGGAAA,MED12,26.09,568.0,0.426406926,0,AZD_200nM,0.5168737154799671 -2627,TCCAGAAACTGCAGGAGGACATCCTGGAAA,MED12,26.09,568.0,0.420995671,0,PLX_2uM,0.5168737154799671 -2628,GCTGGAAACTTCCTGAGAGGCAGTAGGCTC,CD43,25.82,102.0,0.8840579709999999,1,nodrug,0.6559464718239341 -2629,AACTGAAAGAGAGGGAGACAGCTCTGGATA,NF2,93.61,557.0,0.15246636800000002,0,PLX_2uM,0.33788531360925284 -2630,GGAGGAAAGCAGCCAGGACAGCAGTGGGCA,CD33,80.49,293.0,0.18614718600000002,0,nodrug,0.49231968610533705 -2631,TTCGGAAAGCTCTGGACAAGATCGCGGAAA,CCDC101,28.67,84.0,0.88590604,1,AZD_200nM,0.7010017005728543 -2632,TTTGGAAAGGGTGTTTATTCCTCATGGACT,HPRT1,17.43,38.0,0.84375,1,6TG_2ug/mL,0.5398882570248615 -2633,TTCAGAAATAATACCAACAACTGGAGGGAG,CD13,76.53,740.0,0.57032967,0,nodrug,0.5717703626093431 -2634,CCAGGAAATCCATGAGCCTGGACATGGGGC,NF1,88.94,2525.0,0.456521739,0,PLX_2uM,0.39782988655228557 -2635,ACCAGAAATGATGATTGCTGCTCAGGGGCC,CD45,76.19,861.0,0.32129963899999997,0,nodrug,0.4828336054676389 -2636,GCCAGAAATTTGGATCCATAGCCAGGGCCC,CD33,4.4,16.0,0.20129870100000002,0,nodrug,0.6377677809900679 -2637,TGAAGAACACCATCTACTGCAACGTGGAGC,MED12,46.26,1007.0,0.8214285709999999,1,AZD_200nM,0.8019346159138548 -2638,TGAAGAACACCATCTACTGCAACGTGGAGC,MED12,46.26,1007.0,0.832251082,1,PLX_2uM,0.8019346159138548 -2639,CAGGGAACACCCCCGATCTTCTCCTGGTTG,CD33,48.9,178.0,0.45670995700000006,0,nodrug,0.5159883347547014 -2640,ACTAGAACAGTAAGAAGCAGCGCCTGGATC,NF1,92.18,2617.0,0.317934783,0,PLX_2uM,0.30892809428936835 -2641,CCCGGAACCAGTAACCATGAACTGGGGAGT,CD33,15.38,56.0,0.891774892,1,nodrug,0.783154652834335 -2642,CATAGAACCCTTACGTTCACTGACTGGACC,NF1,30.68,871.0,0.033967391,0,PLX_2uM,0.5473026134625919 -2643,TCATGAACCGCTGGACCCTGCAGATGGGCT,CD13,56.46,546.0,0.516483516,0,nodrug,0.5177537273365119 -2644,ACATGAACCTGGCGAAGAAGTTGCAGGTAA,MED12,74.41,1620.0,0.597402597,0,AZD_200nM,0.510201716509056 -2645,ACATGAACCTGGCGAAGAAGTTGCAGGTAA,MED12,74.41,1620.0,0.5367965370000001,0,PLX_2uM,0.510201716509056 -2646,ACCTGAACCTGTGGGACCACCTGCAGGAGG,CD13,53.88,521.0,0.506593407,0,nodrug,0.5601835392480644 -2647,TTCAGAACCTTTGGGAGAGGACCATGGCTG,NF1,87.88,2495.0,0.8763586959999999,1,PLX_2uM,0.5966596325827777 -2648,TTTCGAACGCACCTCCTTCTGTTTGGGGTC,MED12,1.42,31.0,0.12987013,0,AZD_200nM,0.2377359837569479 -2649,TTTCGAACGCACCTCCTTCTGTTTGGGGTC,MED12,1.42,31.0,0.13636363599999998,0,PLX_2uM,0.2377359837569479 -2650,ACAAGAACGCCAACAGCTCCCCCGTGGCCT,CD13,4.65,45.0,0.49670329700000004,0,nodrug,0.7330245524184418 -2651,AATTGAACTCCATCTCGGCGTCCATGGTGA,NF2,5.04,30.0,0.704035874,0,PLX_2uM,0.568217590556075 -2652,CACAGAACTGGTTGCTGTGGTAGCAGGGAG,CD43,52.15,206.0,0.028985507,0,nodrug,0.4852299263403041 -2653,AGAAGAACTTAAGCGAGGCCCTGGGGGACA,TADA1,5.67,19.0,0.95412844,1,AZD_200nM,0.6534598671212855 -2654,AGAAGAACTTCCAGAGGAGGAGGGAGGAGG,MED12,57.56,1253.0,0.75974026,0,AZD_200nM,0.6936239822320119 -2655,AGAAGAACTTCCAGAGGAGGAGGGAGGAGG,MED12,57.56,1253.0,0.858225108,1,PLX_2uM,0.6936239822320119 -2656,AGCTGAACTTCGGAATTCTGCCTCTGGGGT,NF1,4.86,138.0,0.580163043,0,PLX_2uM,0.47430419299397575 -2657,CCAAGAAGAACTTAAGCGAGGCCCTGGGGG,TADA1,5.37,18.0,0.825688073,1,AZD_200nM,0.459840834215698 -2658,AACAGAAGAACTTCCAGAGGAGGAGGGAGG,MED12,57.51,1252.0,0.6385281389999999,0,AZD_200nM,0.673208132296167 -2659,AACAGAAGAACTTCCAGAGGAGGAGGGAGG,MED12,57.51,1252.0,0.546536797,0,PLX_2uM,0.673208132296167 -2660,TCATGAAGAATTACTACGTACTCCTGGAGC,NF1,23.0,653.0,0.35869565200000003,0,PLX_2uM,0.5194912231945084 -2661,GTTTGAAGACACCTCCTATGCAGATGGCTA,CCDC101,92.15,270.0,0.369127517,0,AZD_200nM,0.5386643289523498 -2662,TGGAGAAGAGACAGGCGGAGATTGAGGCTG,MED12,24.62,536.0,0.36796536799999996,0,AZD_200nM,0.5143364276311275 -2663,TGGAGAAGAGACAGGCGGAGATTGAGGCTG,MED12,24.62,536.0,0.396103896,0,PLX_2uM,0.5143364276311275 -2664,GTAGGAAGATATGGCTGCCCACGTTGGTGC,TADA2B,22.86,96.0,0.768421053,0,AZD_200nM,0.6856909559729423 -2665,AGTTGAAGATGAAAGTGCGCAAACAGGTGG,NF1,39.66,1126.0,0.726902174,0,PLX_2uM,0.5232724873142784 -2666,TAGGGAAGATGAGCTGCCACATCAAGGGAA,NF1,73.79,2095.0,0.832880435,1,PLX_2uM,0.5332506804911773 -2667,AGGAGAAGATTGAAGGGACCCTTGGGGTTC,MED12,33.16,722.0,0.655844156,0,AZD_200nM,0.7010537841674901 -2668,AGGAGAAGATTGAAGGGACCCTTGGGGTTC,MED12,33.16,722.0,0.715367965,0,PLX_2uM,0.7010537841674901 -2669,CATCGAAGCATGGGAAGGACTTCCGGGCAT,CD13,22.65,219.0,0.158241758,0,nodrug,0.4310863503911504 -2670,CATCGAAGCCACACAGCAACTGTGCGGTCC,CD5,88.26,436.0,0.748953975,0,nodrug,0.685951461977648 -2671,CTGAGAAGCCAGATGTCGAGAAGGAGGTGA,MED12,32.52,708.0,0.442640693,0,AZD_200nM,0.6205282961823493 -2672,CTGAGAAGCCAGATGTCGAGAAGGAGGTGA,MED12,32.52,708.0,0.48917748899999997,0,PLX_2uM,0.6205282961823493 -2673,GCAGGAAGCCCCAAGTGAACCAGAAGGATA,MED12,4.5,98.0,0.834415584,1,AZD_200nM,0.7047197699315837 -2674,GCAGGAAGCCCCAAGTGAACCAGAAGGATA,MED12,4.5,98.0,0.75974026,0,PLX_2uM,0.7047197699315837 -2675,TGCTGAAGCCCCTGGCGCTGGAACTGGGTG,MED12,98.16,2137.0,0.036796537000000004,0,AZD_200nM,-0.013637619241159062 -2676,TGCTGAAGCCCCTGGCGCTGGAACTGGGTG,MED12,98.16,2137.0,0.056277056,0,PLX_2uM,-0.013637619241159062 -2677,GCTCGAAGCCTGGAAGGTTCTCAATGGCGG,TADA2B,81.67,343.0,0.536842105,0,AZD_200nM,0.5148305518810192 -2678,CGCTGAAGCGCAAGATCACCAAGGAGGAGA,TADA2B,59.52,250.0,0.363157895,0,AZD_200nM,0.7578323518595935 -2679,TGTTGAAGCGCAGCCGGCAGTCAGGGGGCG,CD15,39.62,210.0,0.754578755,0,nodrug,0.5175054130249597 -2680,AGCGGAAGCGCAGCGGGCTCACCTCGGCCA,TADA2B,3.81,16.0,0.8052631579999999,1,AZD_200nM,0.6110009887913486 -2681,AGGAGAAGCGCCTGATGGAGCAGAAGGTGC,NF2,71.93,428.0,0.8520179370000001,1,PLX_2uM,0.5734542370497602 -2682,AGCTGAAGCTCATGCGGGAAGCGATGGCCC,NF2,1.01,6.0,0.349775785,0,PLX_2uM,0.5029637955932488 -2683,TGGTGAAGGACAGCCAGTATGAGATGGACA,CD13,18.3,177.0,0.963736264,1,nodrug,0.6796134488924493 -2684,ACTCGAAGGAGACCATCAGCCCCTGGGGGC,CD43,16.2,64.0,0.427536232,0,nodrug,0.5450559628675561 -2685,TACTGAAGGCAGCTCTGAACATCTAGGGCA,NF1,34.59,982.0,0.7771739129999999,0,PLX_2uM,0.5124261183111718 -2686,CCCAGAAGGCCGCAGAGGCTGAGCAGGAAA,NF2,68.24,406.0,0.040358744,0,PLX_2uM,0.3736609285130644 -2687,ATAAGAAGGGCTGCTGGCTCAATAGGGACA,MED12,67.8,1476.0,0.54004329,0,AZD_200nM,0.4834589156174415 -2688,ATAAGAAGGGCTGCTGGCTCAATAGGGACA,MED12,67.8,1476.0,0.600649351,0,PLX_2uM,0.4834589156174415 -2689,ATAGGAAGGGTCACCATGATGAATGGGATA,NF1,87.32,2479.0,0.283967391,0,PLX_2uM,0.4112933172649087 -2690,GGTAGAAGGGTGGGTGCTCTGGTAAGGCTG,MED12,90.68,1974.0,0.147186147,0,AZD_200nM,0.27183360420759334 -2691,GGTAGAAGGGTGGGTGCTCTGGTAAGGCTG,MED12,90.68,1974.0,0.079004329,0,PLX_2uM,0.27183360420759334 -2692,TCAAGAAGTACAGGAGGAGACTCAGGGCAG,CD33,23.63,86.0,0.545454545,0,nodrug,0.6690179546966416 -2693,GGAAGAAGTACTGCGTGTACTGCCTGGCCG,TADA2B,2.86,12.0,0.515789474,0,AZD_200nM,0.5605542308810607 -2694,AGTGGAAGTAGCGGCGATAGACCGCGGGGT,CD15,90.75,481.0,0.586080586,0,nodrug,0.5016762999171872 -2695,GCTTGAAGTAGCTCAGGCTGCTCAGGGCGG,CD13,72.39,700.0,0.7989010990000001,0,nodrug,0.5834811103794317 -2696,CCCTGAAGTATTCATTATAGTCAAGGGCAT,HPRT1,88.99,194.0,0.640625,0,6TG_2ug/mL,0.5772446950321162 -2697,TTGGGAAGTCGTCCACGTGGATGAAGGCGC,CD15,86.23,457.0,0.227106227,0,nodrug,0.4885239991902015 -2698,CTAGGAAGTCTGTGCTCAGTACTGGGGCGA,CD45,79.73,901.0,0.7617328520000001,0,nodrug,0.6367117984975629 -2699,TCTGGAAGTGGGGTGCTGGGACCTGGGCAG,CD13,26.16,253.0,0.045054945,0,nodrug,0.47971760161161237 -2700,CGTCGAAGTTTGAGGAGCAGGTGAGGGTCT,CD45,57.96,655.0,0.646209386,0,nodrug,0.607931828032052 -2701,CATGGAATATTCACTCAGCATCAGTGGCCT,MED12,40.7,886.0,0.6038961039999999,0,AZD_200nM,0.6503394875210593 -2702,CATGGAATATTCACTCAGCATCAGTGGCCT,MED12,40.7,886.0,0.7012987009999999,0,PLX_2uM,0.6503394875210593 -2703,CGGAGAATCCGAGATATGAGCCGCGGGCGC,H2-K,18.43,68.0,0.650887574,0,nodrug,0.6724072719080035 -2704,GAAAGAATCCTGTTGACTATATCCAGGTAA,CUL3,44.53,342.0,0.688311688,0,PLX_2uM,0.5940828421794714 -2705,GTAGGAATCGGGTTTCAGCGTGTTGGGGAG,CD13,8.17,79.0,0.198901099,0,nodrug,0.3710743533803815 -2706,TGCTGAATGAACTGAGTGTAGTTGAGGCTG,MED12,41.48,903.0,0.704545455,0,AZD_200nM,0.6782170730408934 -2707,TGCTGAATGAACTGAGTGTAGTTGAGGCTG,MED12,41.48,903.0,0.727272727,0,PLX_2uM,0.6782170730408934 -2708,GAGAGAATGACCTGTCCCGGTAACTGGAAC,NF1,76.86,2182.0,0.300271739,0,PLX_2uM,0.3081376258666158 -2709,GGTGGAATGACCTGTGGCTGAACGAGGGCT,CD13,42.4,410.0,0.554945055,0,nodrug,0.6506888583868287 -2710,CTTGGAATGATCATCAAACAGCTATGGTGA,CUL3,14.97,115.0,0.7337662340000001,0,PLX_2uM,0.6078577273393895 -2711,TGCTGAATGATGTGTACCGCGTGATGGCAG,CD13,45.81,443.0,0.721978022,0,nodrug,0.6873722087582597 -2712,AGTTGAATGGGGAGGAGCTGATCCAGGACA,H2-K,66.67,246.0,0.5502958579999999,0,nodrug,0.5444660592583364 -2713,GGTGGAATTCTACAATGGCAGCTGGGGTGG,CD5,36.44,180.0,0.573221757,0,nodrug,0.5718574262621331 -2714,TGGGGAATTTGCAGAAAGACCTCATGGTGC,CD13,44.88,434.0,0.5,0,nodrug,0.6391404966807732 -2715,AGCTGACAACCAGGAGAAGATCGGGGGTGT,CD33,48.35,176.0,0.8441558440000001,1,nodrug,0.6935521358214924 -2716,ATCTGACAACGCGTGAGAATGGCCAGGAGG,TADA1,19.4,65.0,0.7798165140000001,0,AZD_200nM,0.5752336089748005 -2717,CTACGACAAGAACTCCCCAGTTCATGGTTA,CD33,15.38,56.0,0.640692641,0,nodrug,0.4158761715065021 -2718,CACAGACAAGCTGGTCAAGTGTGGCGGCAT,THY1,80.86,131.0,0.9032258059999999,1,nodrug,0.6166518980496863 -2719,TAGAGACAATAAAGAGGGTGTTGTTGGCAG,NF1,67.07,1904.0,0.335597826,0,PLX_2uM,0.422895715984954 -2720,GTAGGACAATCAGATGCTATATCAAGGAAA,NF1,52.17,1481.0,0.983695652,1,PLX_2uM,0.5356771090686397 -2721,AGAAGACAATTCAGTAGTTTCCAAGGGGGT,CD43,19.75,78.0,0.920289855,1,nodrug,0.5588738527730756 -2722,TCTGGACACAGAAGTCTTTGTCACAGGTAA,CD45,2.04,23.0,0.41155234700000004,0,nodrug,0.5991257756929032 -2723,TCTTGACACATCTGTCCGGGACAGAGGCAG,CD5,43.72,216.0,0.451882845,0,nodrug,0.6328165800314063 -2724,GGGAGACACTCACGGGTTATTATTGGGGTT,CD13,81.18,785.0,0.071428571,0,nodrug,0.24332154541547504 -2725,CAATGACACTCAGGCTGCTGTTCTTGGCTC,CD28,3.21,7.0,0.810810811,1,nodrug,0.30660120803487795 -2726,TAGGGACACTTCATAGTATTTATAAGGTTT,CD45,24.69,279.0,0.158844765,0,nodrug,0.2867119681078848 -2727,CGGGGACAGGCAGTTGAAGTTCGCTGGTCT,MED12,20.12,438.0,0.39826839799999997,0,AZD_200nM,0.5328052008487354 -2728,CGGGGACAGGCAGTTGAAGTTCGCTGGTCT,MED12,20.12,438.0,0.36038961,0,PLX_2uM,0.5328052008487354 -2729,GAGTGACAGGGACCTTATGGGCACTGGGAA,CD13,69.39,671.0,0.6835164840000001,0,nodrug,0.5136084520713737 -2730,GTTGGACAGGGCTGTCAGGTCCTTGGGGTG,CD13,25.03,242.0,0.304395604,0,nodrug,0.21152234383943833 -2731,TGGTGACAGGGGGACCACTGGTCTTGGAGC,CD43,46.08,182.0,0.014492753999999998,0,nodrug,0.406008129456424 -2732,ACCTGACAGGTCAGGTTGGTGCCGTGGTCC,CD33,56.87,207.0,0.612554113,0,nodrug,0.5531738080731595 -2733,CTGGGACAGGTGTGGTCTGTCACGCGGTTG,TADA2B,31.43,132.0,0.8684210529999999,1,AZD_200nM,0.6402681935283421 -2734,TGCAGACATGTCTAGCATCTCGCAAGGTAG,MED12,73.59,1602.0,0.7857142859999999,0,AZD_200nM,0.6371494045649164 -2735,TGCAGACATGTCTAGCATCTCGCAAGGTAG,MED12,73.59,1602.0,0.741341991,0,PLX_2uM,0.6371494045649164 -2736,CAGGGACATGTGTTAAAGGCTGCTGGGGAA,MED12,66.47,1447.0,0.5963203460000001,0,AZD_200nM,0.5637400910829801 -2737,CAGGGACATGTGTTAAAGGCTGCTGGGGAA,MED12,66.47,1447.0,0.628787879,0,PLX_2uM,0.5637400910829801 -2738,GCAAGACCAAGCCTGTGCTCAGGTCGGATA,MED12,65.14,1418.0,0.7175324679999999,0,AZD_200nM,0.6897871291409304 -2739,GCAAGACCAAGCCTGTGCTCAGGTCGGATA,MED12,65.14,1418.0,0.7294372290000001,0,PLX_2uM,0.6897871291409304 -2740,TACGGACCAATGTTAAGGATCTGGTGGGTC,NF1,32.41,920.0,0.58423913,0,PLX_2uM,0.6060518362499032 -2741,GACAGACCACACCTGTCCCAGCGGAGGCCC,TADA2B,33.1,139.0,0.621052632,0,AZD_200nM,0.6207423169494097 -2742,TAAAGACCACCTCCAGAAGCGGCAAGGAAT,TADA2B,91.43,384.0,0.452631579,0,AZD_200nM,0.5191166912484678 -2743,CTAAGACCACTGTTATTCTTACGCTGGATT,CUL3,5.99,46.0,0.675324675,0,PLX_2uM,0.5680931989525007 -2744,AGGTGACCAGCCTGACAGCCTGCCTGGTGA,THY1,17.28,28.0,0.790322581,0,nodrug,0.4867180637346691 -2745,CCCCGACCAGGCGGCTCTGAACCTTGGGCT,CD5,55.47,274.0,0.460251046,0,nodrug,0.4205788247037127 -2746,CGGGGACCAGGGGCTCCAAAGGCAAGGTCC,MED12,28.71,625.0,0.475108225,0,AZD_200nM,0.522893292905461 -2747,CGGGGACCAGGGGCTCCAAAGGCAAGGTCC,MED12,28.71,625.0,0.561688312,0,PLX_2uM,0.522893292905461 -2748,GCTGGACCAGTGTGTATCTGCCACAGGTTT,NF1,54.77,1555.0,0.502717391,0,PLX_2uM,0.5924873041044493 -2749,AGTGGACCATGCGCCAGTCTTCCTTGGAGC,MED12,62.47,1360.0,0.185064935,0,AZD_200nM,0.45275163010277975 -2750,AGTGGACCATGCGCCAGTCTTCCTTGGAGC,MED12,62.47,1360.0,0.17640692600000002,0,PLX_2uM,0.45275163010277975 -2751,CAGAGACCCAGTAGCTGTGGTGACAGGGGG,CD43,47.59,188.0,0.31884058,0,nodrug,0.450075314707308 -2752,CTACGACCCCAGTGTTCACAAGCGGGGATT,NF2,26.72,159.0,0.717488789,0,PLX_2uM,0.7342413177545807 -2753,CAAGGACCCCCACTCACCTGATTTTGGGAG,CD13,35.26,341.0,0.063736264,0,nodrug,0.13129937543356882 -2754,TGGCGACCCGCAGCCCTGGCGTCGTGGTGA,HPRT1,3.67,8.0,0.890625,1,6TG_2ug/mL,0.5660636624415292 -2755,GCTGGACCCTGCAGATGGGCTTCCCGGTCA,CD13,56.77,549.0,0.037362637000000004,0,nodrug,0.31165115108530156 -2756,TGATGACCGGGAAGCCCATCTGCAGGGTCC,CD13,56.46,546.0,0.93956044,1,nodrug,0.5967766966729512 -2757,TCGCGACCGGTGGGCGTGCTGCTGTGGTGG,CD15,36.42,193.0,0.63003663,0,nodrug,0.5136342743988054 -2758,ATGTGACCGTGGACGTGTTCGGCCGGGGCG,CD15,73.02,387.0,0.553113553,0,nodrug,0.391191779847443 -2759,TCGAGACCTAAAATCATTAACATCTGGCAA,CUL3,24.61,189.0,0.415584416,0,PLX_2uM,0.46700008959733824 -2760,TGGCGACCTCCAGCCCCAGGCCCCCGGGCC,CD15,54.15,287.0,0.293040293,0,nodrug,0.32286754204595247 -2761,TAAGGACCTTGATATAGGGCTGGTTGGAGA,THY1,51.85,84.0,0.258064516,0,nodrug,0.5408288566486836 -2762,AGGGGACCTTGCCTTTGGAGCCCCTGGTCC,MED12,28.85,628.0,0.6785714290000001,0,AZD_200nM,0.45425074858025244 -2763,AGGGGACCTTGCCTTTGGAGCCCCTGGTCC,MED12,28.85,628.0,0.6785714290000001,0,PLX_2uM,0.45425074858025244 -2764,TGGCGACCTTTGTGAGCGAGCTGGAGGCGG,TADA1,2.39,8.0,0.678899083,0,AZD_200nM,0.5654971014063925 -2765,CGTAGACGCCAGGAGGAGGGATAATGGTTC,CD33,30.77,112.0,0.428571429,0,nodrug,0.4026375659729919 -2766,AACGGACGCCTGCCTGGACGCCCTGGGCAC,MED12,93.57,2037.0,0.097402597,0,AZD_200nM,0.19034380036570916 -2767,AACGGACGCCTGCCTGGACGCCCTGGGCAC,MED12,93.57,2037.0,0.033549784,0,PLX_2uM,0.19034380036570916 -2768,GAGCGACGCTGATGGCTGGGTTCATGGTGC,THY1,1.23,2.0,0.112903226,0,nodrug,0.3049559267630195 -2769,GGCGGACGGGGTGGTGGAGGCCACGGGGGA,CD13,4.86,47.0,0.389010989,0,nodrug,0.38881568271882233 -2770,TCGCGACGGGGTTGGCGACGCCCAGGGCAG,CD15,34.15,181.0,0.468864469,0,nodrug,0.506118210100592 -2771,ACAGGACGGTATGGGTCCACACGAGGGCCA,MED12,85.16,1854.0,0.582251082,0,AZD_200nM,0.6070617538714248 -2772,ACAGGACGGTATGGGTCCACACGAGGGCCA,MED12,85.16,1854.0,0.591991342,0,PLX_2uM,0.6070617538714248 -2773,CGGGGACGGTGGGAAGAGCTATGTCGGGAG,CD5,63.97,316.0,0.49790795,0,nodrug,0.5281027989298915 -2774,TGATGACGTCAGTGGCCTCCTTGCAGGTGA,CD13,11.79,114.0,0.593406593,0,nodrug,0.40344755636200785 -2775,CAAAGACGTCCGAGTCCGCCCGGTAGGAGA,CD15,60.57,321.0,0.7289377290000001,0,nodrug,0.6187310115025115 -2776,CCTTGACTCTCAGGATAGTGCAGCAGGATG,NF1,23.6,670.0,0.330163043,0,PLX_2uM,0.5066325125919358 -2777,CATCGACTGCTGGACAATGAGGATGGGGAA,MED12,61.32,1335.0,0.393939394,0,AZD_200nM,0.5334171964614983 -2778,CATCGACTGCTGGACAATGAGGATGGGGAA,MED12,61.32,1335.0,0.428571429,0,PLX_2uM,0.5334171964614983 -2779,TAGTGACTGCTTATGAGCATGGGCTGGACA,TADA1,48.66,163.0,0.458715596,0,AZD_200nM,0.5941951179356916 -2780,ATCAGACTGGCAAGGATTGAGCTGCGGTGT,MED12,54.43,1185.0,0.533549784,0,AZD_200nM,0.6780350486957073 -2781,ATCAGACTGGCAAGGATTGAGCTGCGGTGT,MED12,54.43,1185.0,0.6461038960000001,0,PLX_2uM,0.6780350486957073 -2782,TGCAGACTGTCTGGGCTCGCCACCTGGACC,CD43,4.05,16.0,0.434782609,0,nodrug,0.43603318291861115 -2783,AGCAGACTTATGGAGACATGGAAGTGGAGA,CD45,80.8,913.0,0.664259928,0,nodrug,0.5521391811831934 -2784,TAGAGACTTCCTTCATACAGGAGTTGGAGG,CD45,69.2,782.0,0.570397112,0,nodrug,0.49517531391650216 -2785,GAAAGACTTTGGGAAACACAACACTGGCCT,NF1,93.27,2648.0,0.724184783,0,PLX_2uM,0.39057795785326543 -2786,ATAAGAGAACACTTTACCTGTCCTTGGGAG,NF1,33.43,949.0,0.5,0,PLX_2uM,0.4440589917497199 -2787,CAAGGAGAAGATTGAAGGGACCCTTGGGGT,MED12,33.12,721.0,0.492424242,0,AZD_200nM,0.4642460689534583 -2788,CAAGGAGAAGATTGAAGGGACCCTTGGGGT,MED12,33.12,721.0,0.579004329,0,PLX_2uM,0.4642460689534583 -2789,TGAGGAGAAGGAAAGCCGATTCTTTGGAAG,NF2,52.94,315.0,0.044843049,0,PLX_2uM,0.31581322102479664 -2790,AGATGAGAAGGGTTCCATCGCCTCTGGCTC,MED12,25.45,554.0,0.810606061,1,AZD_200nM,0.5565555347422795 -2791,AGATGAGAAGGGTTCCATCGCCTCTGGCTC,MED12,25.45,554.0,0.7673160170000001,0,PLX_2uM,0.5565555347422795 -2792,GCCTGAGAAGGTTGCCCCATGTCCAGGCTC,NF1,88.94,2525.0,0.385869565,0,PLX_2uM,0.2990560077647795 -2793,AAGAGAGACAGTACATGCCCTGGGAGGCCG,CD13,71.87,695.0,0.9714285709999999,1,nodrug,0.698299318221001 -2794,AGAAGAGACATGTTGACCCTTTCATGGGTG,MED12,8.41,183.0,0.461038961,0,AZD_200nM,0.4746261832218748 -2795,AGAAGAGACATGTTGACCCTTTCATGGGTG,MED12,8.41,183.0,0.61038961,0,PLX_2uM,0.4746261832218748 -2796,TGTGGAGACCAGGCCTGCAGGGGATGGAAC,H2-K,69.92,258.0,0.183431953,0,nodrug,0.48279640548451036 -2797,GCCAGAGACCATCTCCTCACACTCTGGAAC,CD13,79.42,768.0,0.43076923100000003,0,nodrug,0.534594851125546 -2798,CAGAGAGACTCAGGGCCTACCTGGAGGGCA,H2-K,49.05,181.0,0.9644970409999999,1,nodrug,0.7062571329502304 -2799,AGCTGAGAGAAAATAAAACCCCAGAGGCAG,NF1,4.93,140.0,0.741847826,0,PLX_2uM,0.7416224948782744 -2800,TCTTGAGAGAGCTGAAGCTCATGCGGGAAG,NF2,1.51,9.0,0.560538117,0,PLX_2uM,0.6261543796264635 -2801,AAGGGAGAGGGAGGCCGGGGACCAGGGGCT,MED12,28.94,630.0,0.656926407,0,AZD_200nM,0.5169334230599918 -2802,AAGGGAGAGGGAGGCCGGGGACCAGGGGCT,MED12,28.94,630.0,0.677489177,0,PLX_2uM,0.5169334230599918 -2803,TGTGGAGAGTTCCAGTGTGGCCCGTGGCAC,CD43,55.19,218.0,0.65942029,0,nodrug,0.6497357801597079 -2804,CTCAGAGATACGTGGTGGCTTGTAAGGAAC,CCDC101,97.95,287.0,0.12080536900000001,0,AZD_200nM,0.32662772366617016 -2805,ATGAGAGATATTCCAACGTGCAAGTGGCTG,NF1,78.34,2224.0,0.233695652,0,PLX_2uM,0.46775973293167467 -2806,TTTCGAGATCAAGTTGTACGTTATGGGTGT,CUL3,20.05,154.0,0.22727272699999998,0,PLX_2uM,0.40723863425662654 -2807,CACGGAGATCCTTGGCAGAAGACCTGGTTC,CD5,21.05,104.0,0.832635983,1,nodrug,0.5480670088797441 -2808,GTATGAGATGGACAGCGAGTTCGAGGGGGA,CD13,18.82,182.0,0.554945055,0,nodrug,0.6047421774976351 -2809,GACAGAGATGGATCCCAGCAGACAGGGTTG,CD45,88.58,1001.0,0.974729242,1,nodrug,0.6100853214166735 -2810,CCCCGAGATGGGGGTCTACCTGGTGGGCCA,CD13,40.64,393.0,0.6593406589999999,0,nodrug,0.5933144293405994 -2811,CACAGAGATGTCCAGCGGGGGCAGCGGGGT,TADA2B,36.19,152.0,0.15263157900000002,0,AZD_200nM,0.404773377690516 -2812,CAATGAGATTAGATGAAACGATGCTGGTCA,NF1,3.8,108.0,0.887228261,1,PLX_2uM,0.6072263652108703 -2813,GATCGAGCAGCAGATCAAGGAGCGGGGACA,MED12,19.75,430.0,0.69047619,0,AZD_200nM,0.7289150610066506 -2814,GATCGAGCAGCAGATCAAGGAGCGGGGACA,MED12,19.75,430.0,0.711038961,0,PLX_2uM,0.7289150610066506 -2815,CTGAGAGCAGGAGAGCGACGCTGATGGCTG,THY1,3.7,6.0,0.35483871,0,nodrug,0.6039884608773175 -2816,TTAAGAGCATAGACAGTATGTGTAGGGATG,TADA1,87.46,293.0,0.688073394,0,AZD_200nM,0.5211114995461054 -2817,ATATGAGCATCTCAAACACAACGATGGATG,CUL3,62.89,483.0,0.980519481,1,PLX_2uM,0.6906278498496756 -2818,TTGAGAGCATTGTGGAATACCTTCAGGTCC,NF1,61.22,1738.0,0.793478261,0,PLX_2uM,0.49879809969992095 -2819,CCTCGAGCCACTCGCCGGTCCACTCGGACT,MED12,78.55,1710.0,0.303030303,0,AZD_200nM,0.43150404454241126 -2820,CCTCGAGCCACTCGCCGGTCCACTCGGACT,MED12,78.55,1710.0,0.340909091,0,PLX_2uM,0.43150404454241126 -2821,TGGTGAGCCACTGGGACGAGCGCCAGGCCC,CD15,69.25,367.0,0.102564103,0,nodrug,0.40617705991670355 -2822,CGGGGAGCCCCGGTACATGGAAGTCGGCTA,H2-K,12.2,45.0,0.781065089,0,nodrug,0.6571413961858813 -2823,GCCTGAGCCCCTCACCCTGAGATGGGGTAA,H2-K,79.67,294.0,0.266272189,0,nodrug,0.5848806558340038 -2824,CAGAGAGCCCGCTGATGAGCGTCTCGGCAT,TADA2B,43.57,183.0,0.942105263,1,AZD_200nM,0.6386432692054641 -2825,GCCTGAGCCTCTCCGTAGGACGCGCGGTCG,CD15,42.83,227.0,0.937728938,1,nodrug,0.6632905369043893 -2826,CGGTGAGCGCCTGGCCGCCCTCCTGGGCCG,CD5,52.23,258.0,0.129707113,0,nodrug,0.37240106137203316 -2827,TTGTGAGCTAGCTTGAGAGCATTGTGGAAT,NF1,61.36,1742.0,0.8777173909999999,1,PLX_2uM,0.8232081630232485 -2828,TTTTGAGCTGAGACATTCCAAGGTAGGTAA,CD45,82.83,936.0,0.635379061,0,nodrug,0.5399102808204581 -2829,GGCCGAGCTGCTCACCACGACGCCAGGGCT,HPRT1,3.67,8.0,0.453125,0,6TG_2ug/mL,0.38449597051560086 -2830,GCACGAGCTGCTCCTTCTGGAACAAGGCCT,CCDC101,77.82,228.0,0.7046979870000001,0,AZD_200nM,0.6032140965680094 -2831,GTGTGAGCTGTCGACCACTGTGTTTGGCTA,CUL3,70.7,543.0,0.577922078,0,PLX_2uM,0.47500294091620304 -2832,GTTAGAGCTTGTTGTCACAGTGGTGGGGGG,CD43,40.76,161.0,0.072463768,0,nodrug,0.48636279572169827 -2833,CTGTGAGGAAGCAGATATCCGGTGTGGGGT,NF1,25.36,720.0,0.407608696,0,PLX_2uM,0.6855412568385313 -2834,CAAGGAGGAAGTGCTCCTGGGAAAGGGTCC,CD13,58.12,562.0,0.6219780220000001,0,nodrug,0.5123282574371067 -2835,CCAGGAGGAGCATGGCCCACTCCGTGGTCT,MED12,71.47,1556.0,0.173160173,0,AZD_200nM,0.5867820725076621 -2836,CCAGGAGGAGCATGGCCCACTCCGTGGTCT,MED12,71.47,1556.0,0.158008658,0,PLX_2uM,0.5867820725076621 -2837,GCAGGAGGAGCGGATTCCTACTGTAGGCTT,MED12,54.98,1197.0,0.939393939,1,AZD_200nM,0.7543545968811916 -2838,GCAGGAGGAGCGGATTCCTACTGTAGGCTT,MED12,54.98,1197.0,0.9090909090000001,1,PLX_2uM,0.7543545968811916 -2839,CCAGGAGGATCCCCAGGATGCCCAGGGACT,CD13,1.24,12.0,0.520879121,0,nodrug,0.5964810517872547 -2840,TCTGGAGGATGATCTGGGAGCAAAAGGCCA,CD45,50.35,569.0,0.776173285,0,nodrug,0.4656015674708026 -2841,GAAGGAGGATGCGGCAGGTAAGCCGGGCCC,MED12,53.79,1171.0,0.8506493509999999,1,AZD_200nM,0.5307594192646494 -2842,GAAGGAGGATGCGGCAGGTAAGCCGGGCCC,MED12,53.79,1171.0,0.901515152,1,PLX_2uM,0.5307594192646494 -2843,TCAGGAGGCAACGGTGCTGGAATTGGGTTC,NF2,81.85,487.0,0.605381166,0,PLX_2uM,0.39713269565326115 -2844,TTCAGAGGCACAATAGGAGCAAGCTGGTCT,MED12,36.43,793.0,0.287878788,0,AZD_200nM,0.6375038955598133 -2845,TTCAGAGGCACAATAGGAGCAAGCTGGTCT,MED12,36.43,793.0,0.202380952,0,PLX_2uM,0.6375038955598133 -2846,TCCGGAGGCACTGTCACACCATAAGGGCCG,MED12,83.23,1812.0,0.37012987,0,AZD_200nM,0.5090098655124558 -2847,TCCGGAGGCACTGTCACACCATAAGGGCCG,MED12,83.23,1812.0,0.44696969700000005,0,PLX_2uM,0.5090098655124558 -2848,CTGAGAGGCAGTAGGCTCAGGTACAGGGGT,CD43,24.81,98.0,0.18115942,0,nodrug,0.47704267686515195 -2849,GTACGAGGCCAGGGAGGAGGCACTTGGGAA,CD15,87.74,465.0,0.24175824199999998,0,nodrug,0.4016731280553056 -2850,CCTGGAGGCTGCTTTACCCGCTGTGGGGGC,CCDC101,86.69,254.0,0.9060402679999999,1,AZD_200nM,0.44947262818993866 -2851,AGCAGAGGGCAAAGTGGATGTCTATGGTTA,CD45,62.57,707.0,0.48014440399999997,0,nodrug,0.47283539778406314 -2852,CCACGAGGGCCAAAACCACCACCAAGGCAA,CD43,65.57,259.0,0.5072463770000001,0,nodrug,0.6912785485431545 -2853,GTGAGAGGGGGCCTCCGCTGGGACAGGTGT,TADA2B,32.86,138.0,0.131578947,0,AZD_200nM,0.4087591637357525 -2854,AGGTGAGGGTCTTCAGGAACCCCATGGTCT,CD45,57.43,649.0,0.855595668,1,nodrug,0.6618631700793508 -2855,AGTCGAGGGTGTGCTGCTAGTTGGGGGCTG,MED12,15.53,338.0,0.87987013,1,AZD_200nM,0.7286065785666999 -2856,AGTCGAGGGTGTGCTGCTAGTTGGGGGCTG,MED12,15.53,338.0,0.902597403,1,PLX_2uM,0.7286065785666999 -2857,TGATGAGGTCAACTTGTATTCAGCAGGTAC,NF1,82.14,2332.0,0.38179347799999996,0,PLX_2uM,0.485056599914792 -2858,CCTTGAGGTGCACCACCAGGTACTCGGTGG,CD13,16.65,161.0,0.47692307700000003,0,nodrug,0.5734804171059538 -2859,GGAGGAGGTGGCAGTGGTGGTCGGAGGCAG,MED12,57.92,1261.0,0.588744589,0,AZD_200nM,0.6164420475719968 -2860,GGAGGAGGTGGCAGTGGTGGTCGGAGGCAG,MED12,57.92,1261.0,0.666666667,0,PLX_2uM,0.6164420475719968 -2861,CACAGAGGTGGCGGAAACAGGACATGGCAA,NF1,24.94,708.0,0.985054348,1,PLX_2uM,0.6899269569300108 -2862,GACAGAGGTGTCTGATGGTGCAAGTGGAGG,CD45,63.98,723.0,0.815884477,1,nodrug,0.6641219226884105 -2863,AGGAGAGTAAATCCACTTACCTATAGGAAG,NF1,87.57,2486.0,0.538043478,0,PLX_2uM,0.411920760159734 -2864,ACAAGAGTAGGATTGGTAGAAGGGTGGGTG,MED12,90.86,1978.0,0.09848484800000001,0,AZD_200nM,0.3763263562680111 -2865,ACAAGAGTAGGATTGGTAGAAGGGTGGGTG,MED12,90.86,1978.0,0.147186147,0,PLX_2uM,0.3763263562680111 -2866,GCAGGAGTCAGTGACGGTACAGGAGGGTTT,CD33,8.79,32.0,0.935064935,1,nodrug,0.732627915500807 -2867,CATGGAGTCATGTATTCCAAACAAAGGTGT,NF1,68.51,1945.0,0.899456522,1,PLX_2uM,0.6656442848561133 -2868,AATAGAGTCCAGAGGAAGTATTTATGGCAA,NF1,83.13,2360.0,0.260869565,0,PLX_2uM,0.2838742199957326 -2869,CAGGGAGTCCATGCATCTCACTCGAGGGCC,CD43,50.13,198.0,0.471014493,0,nodrug,0.6035601849784329 -2870,TGGGGAGTCCGGGAAGCACCAACGTGGGCA,TADA2B,23.1,97.0,0.773684211,0,AZD_200nM,0.6975282945555491 -2871,CTTCGAGTCGCCCTCGCACTCCCCGGGGCT,CD15,57.17,303.0,0.666666667,0,nodrug,0.42154099466219286 -2872,ACCTGAGTCTGCATCTAAACCCCATGGATA,CD45,21.77,246.0,0.9638989170000001,1,nodrug,0.6814814436823717 -2873,ATGAGAGTGCAAGTATACATGTTGTGGGAG,MED12,28.11,612.0,0.455627706,0,AZD_200nM,0.5763979770925032 -2874,ATGAGAGTGCAAGTATACATGTTGTGGGAG,MED12,28.11,612.0,0.37770562799999996,0,PLX_2uM,0.5763979770925032 -2875,CCTCGAGTGGGAAGCATCATTGTGTGGGAA,TADA1,42.39,142.0,0.862385321,1,AZD_200nM,0.6097425807127473 -2876,TCCAGAGTGTGAGGAGATGGTCTCTGGCCT,CD13,79.83,772.0,0.040659341,0,nodrug,0.31985998359150386 -2877,TGGCGAGTTCGTCCACTGTTACAGTGGCCA,NF1,98.91,2808.0,0.078804348,0,PLX_2uM,0.24557545344150328 -2878,GGGGGAGTTGGCAGATGACCTGGCGGGCTT,CD13,19.65,190.0,0.48681318700000004,0,nodrug,0.5649190172954577 -2879,GGTGGATAAGCGTGATGTTGAACTCGGCCT,CD13,24.1,233.0,0.7065934070000001,0,nodrug,0.6588136827631672 -2880,AGCAGATAATCCGTATTCTTAGCAAGGTAC,NF1,80.03,2272.0,0.72826087,0,PLX_2uM,0.4957613982086178 -2881,TATGGATACATATCCCATTCATCATGGTGA,NF1,87.32,2479.0,0.520380435,0,PLX_2uM,0.49042975352733625 -2882,TCCAGATACATTTATTTACTTTGCAGGTAA,NF1,95.24,2704.0,0.043478261,0,PLX_2uM,0.13441594888528166 -2883,TGTGGATAGCAAATGAGCTGCATGAGGCGC,MED12,60.68,1321.0,0.274891775,0,AZD_200nM,0.733083067390109 -2884,TGTGGATAGCAAATGAGCTGCATGAGGCGC,MED12,60.68,1321.0,0.262987013,0,PLX_2uM,0.733083067390109 -2885,GGGCGATAGCGTTGCAGTAGACGGTGGACC,CD13,82.32,796.0,0.779120879,0,nodrug,0.66969500239483 -2886,CCTTGATATAGGGCTGGTTGGAGAGGGTGA,THY1,50.62,82.0,1.0,1,nodrug,0.6052245674403515 -2887,TTTGGATATATCCTGGATTATTTCTGGACA,NF1,9.86,280.0,0.122282609,0,PLX_2uM,0.1559215653474817 -2888,CTCAGATATCCAGGTGATGCTAAGTGGCTC,CD5,7.29,36.0,0.966527197,1,nodrug,0.7668852816531222 -2889,CAAAGATATCTTCAGCAGTGGGGAAGGCTT,MED12,37.85,824.0,0.35173160200000003,0,AZD_200nM,0.5626730183714505 -2890,CAAAGATATCTTCAGCAGTGGGGAAGGCTT,MED12,37.85,824.0,0.356060606,0,PLX_2uM,0.5626730183714505 -2891,CCGAGATATGAGCCGCGGGCGCGGTGGATG,H2-K,19.24,71.0,1.0,1,nodrug,0.6266195834602823 -2892,ACGGGATCACCAAGATGGAAGAGTCGGCAG,TADA2B,72.38,304.0,0.4,0,AZD_200nM,0.6371205112750961 -2893,CATGGATCAGGGCGCGGTAGAAGCAGGTAG,CCDC101,83.28,244.0,0.9664429529999999,1,AZD_200nM,0.4836647064236714 -2894,CTCAGATCATCACCAAGTACTTATGGGAGC,MED12,8.91,194.0,0.20021645,0,AZD_200nM,0.43254311046255073 -2895,CTCAGATCATCACCAAGTACTTATGGGAGC,MED12,8.91,194.0,0.191558442,0,PLX_2uM,0.43254311046255073 -2896,GCTTGATCATGAGCTGCAGCTCCAAGGAAG,MED12,62.56,1362.0,0.926406926,1,AZD_200nM,0.6471454906204219 -2897,GCTTGATCATGAGCTGCAGCTCCAAGGAAG,MED12,62.56,1362.0,0.957792208,1,PLX_2uM,0.6471454906204219 -2898,TCCCGATCCACAGGGGCAGGGTCATGGCCG,CCDC101,44.03,129.0,0.154362416,0,AZD_200nM,0.4957444574519801 -2899,AGCTGATCCAGGACATGGAGCTTGTGGAGA,H2-K,68.02,251.0,0.307692308,0,nodrug,0.5614170330864475 -2900,CCCTGATCCATGCGCCCCCACAGCGGGTAA,CCDC101,86.69,254.0,0.530201342,0,AZD_200nM,0.4631070757934057 -2901,TGACGATCCTCACGGTGAACGTCTTGGGTT,NF2,3.53,21.0,0.968609865,1,PLX_2uM,0.48935675064416606 -2902,TGGGGATCCTTTGCCACAAATTGCTGGGCT,TADA1,37.01,124.0,0.027522936,0,AZD_200nM,0.31020008084110745 -2903,TCGTGATCTGCTCCAGAACATTCCGGGAGA,MED12,39.09,851.0,0.35822510799999996,0,AZD_200nM,0.459851334639659 -2904,TCGTGATCTGCTCCAGAACATTCCGGGAGA,MED12,39.09,851.0,0.35822510799999996,0,PLX_2uM,0.459851334639659 -2905,TTTGGATCTTGGCACAATGATAACAGGGTG,NF1,94.01,2669.0,0.324728261,0,PLX_2uM,0.17893409956857673 -2906,TGCAGATGAAAGAAGAAGCAACAATGGCCA,NF2,61.85,368.0,0.40358744399999996,0,PLX_2uM,0.632744904571618 -2907,AGCAGATGAAAGCCCAGGCCAGGGAGGAGA,NF2,54.79,326.0,0.627802691,0,PLX_2uM,0.6340026984012526 -2908,TGAAGATGAAAGTGCGCAAACAGGTGGCAG,NF1,39.7,1127.0,0.542119565,0,PLX_2uM,0.655969452983744 -2909,GCGGGATGACACGGCGCCGGCTCAGGGTGT,CCDC101,70.31,206.0,0.724832215,0,AZD_200nM,0.485834718375453 -2910,ACGTGATGACATCTCGGGTCTGCTTGGGCA,MED12,75.52,1644.0,0.777056277,0,AZD_200nM,0.42692806283800566 -2911,ACGTGATGACATCTCGGGTCTGCTTGGGCA,MED12,75.52,1644.0,0.744588745,0,PLX_2uM,0.42692806283800566 -2912,TGCTGATGACCCTGCTGCAGCAGTCGGCCA,CCDC101,42.66,125.0,0.523489933,0,AZD_200nM,0.5805474561865753 -2913,ATCAGATGACTCCGGAAATGTGGGAGGAGA,NF2,30.92,184.0,0.713004484,0,PLX_2uM,0.6654638525749903 -2914,TAGGGATGACTTCCCTGTGCACCTGGGATT,TADA1,85.37,286.0,0.889908257,1,AZD_200nM,0.5166353571514577 -2915,TACAGATGAGGTTCCCCAGGCCCAGGGGCC,CD5,39.47,195.0,0.493723849,0,nodrug,0.5777885301088238 -2916,TGATGATGATCTCCAGGAGGAGCATGGCCC,MED12,71.66,1560.0,0.8939393940000001,1,AZD_200nM,0.5884771493226395 -2917,TGATGATGATCTCCAGGAGGAGCATGGCCC,MED12,71.66,1560.0,0.823593074,1,PLX_2uM,0.5884771493226395 -2918,TGGAGATGATCTCTCAACTTTAACTGGAAA,HPRT1,57.34,125.0,0.03125,0,6TG_2ug/mL,0.3184744750033264 -2919,AGGGGATGCGGAACTGAAAGGTTCAGGCTT,MED12,56.82,1237.0,0.229437229,0,AZD_200nM,0.39278165731082826 -2920,AGGGGATGCGGAACTGAAAGGTTCAGGCTT,MED12,56.82,1237.0,0.22835497800000001,0,PLX_2uM,0.39278165731082826 -2921,CCAAGATGCGGATCCGGGCCTTTCCGGTGA,CUL3,2.73,21.0,0.194805195,0,PLX_2uM,0.2605379959443646 -2922,GGTGGATGCTGACAAAACCTCCCCCGGGTT,CD5,68.02,336.0,0.43514644399999997,0,nodrug,0.5108914518403669 -2923,GGCAGATGCTGCGCAGCACGTACTTGGCAT,MED12,58.84,1281.0,0.335497835,0,AZD_200nM,0.5214717392586423 -2924,GGCAGATGCTGCGCAGCACGTACTTGGCAT,MED12,58.84,1281.0,0.445887446,0,PLX_2uM,0.5214717392586423 -2925,GGATGATGCTTGCCACAGTGCCTGGGGCCA,CD5,76.32,377.0,0.761506276,0,nodrug,0.49835719617207325 -2926,AGGCGATGGAACCCTTCTCATCTGCGGCTT,MED12,25.17,548.0,0.912337662,1,AZD_200nM,0.7074084176535946 -2927,AGGCGATGGAACCCTTCTCATCTGCGGCTT,MED12,25.17,548.0,0.942640693,1,PLX_2uM,0.7074084176535946 -2928,ATGAGATGGACAGCGAGTTCGAGGGGGAGT,CD13,18.92,183.0,0.9670329670000001,1,nodrug,0.7351997196573831 -2929,GGAAGATGGATCTGAAGTTGGTGTTGGAGG,CUL3,75.0,576.0,0.344155844,0,PLX_2uM,0.5272533908698178 -2930,CAGGGATGGCCCCACAGAGGGGTGGGGGCC,CCDC101,48.81,143.0,0.013422818999999999,0,AZD_200nM,0.33983686340560815 -2931,TGCAGATGGGCTTCCCGGTCATCACGGTGG,CD13,57.08,552.0,0.7615384620000001,0,nodrug,0.6206846940111226 -2932,TAAGGATGGGGCCCGTCACGTTCAGGGCAT,CD13,32.99,319.0,0.361538462,0,nodrug,0.5239458341116244 -2933,CTGTGATGGGTCACATGGGCCTTTGGGGAA,H2-K,56.1,207.0,0.177514793,0,nodrug,0.3038528859907404 -2934,GGTAGATGGTGTTCTGGTAGGCAAAGGTGT,CD13,52.53,508.0,0.36923076899999996,0,nodrug,0.6201129731583357 -2935,GGGCGATGTAATCGCAGCCGTCGTAGGCGT,H2-K,37.94,140.0,0.662721893,0,nodrug,0.5660766569004855 -2936,CAAAGATGTCCAAAATGCTAAGTGTGGAAA,CD45,6.28,71.0,0.36823104700000003,0,nodrug,0.6845473293213717 -2937,CAGAGATGTCCAGCGGGGGCAGCGGGGTGG,TADA2B,35.95,151.0,0.7,0,AZD_200nM,0.599718790822052 -2938,TCGAGATGTGATGAAGGAGATGGGAGGCCA,HPRT1,26.15,57.0,0.4375,0,6TG_2ug/mL,0.6605478438507292 -2939,GCGTGATGTTGAACTCGGCCTTCATGGCCG,CD13,23.78,230.0,0.446153846,0,nodrug,0.38117988795296215 -2940,CGGCGATTATGCCCTGAACGTGACGGGCCC,CD13,33.09,320.0,0.712087912,0,nodrug,0.5483126429592847 -2941,GCCGGATTGCCACCTCTACATCATGGGGCA,MED12,10.34,225.0,0.433982684,0,AZD_200nM,0.5673458457776654 -2942,GCCGGATTGCCACCTCTACATCATGGGGCA,MED12,10.34,225.0,0.48593073600000003,0,PLX_2uM,0.5673458457776654 -2943,CAGAGATTGCTCAGGAAGCAATGGAGGTAA,NF1,19.23,546.0,0.855978261,1,PLX_2uM,0.6648675398176491 -2944,CAGAGATTGCTGCATAGTAGGCACAGGTCA,MED12,7.58,165.0,0.7521645020000001,0,AZD_200nM,0.6617464992062954 -2945,CAGAGATTGCTGCATAGTAGGCACAGGTCA,MED12,7.58,165.0,0.784632035,0,PLX_2uM,0.6617464992062954 -2946,ACAGGATTGGCTGCAGTGACAGGAGGGTCA,CD43,31.65,125.0,0.927536232,1,nodrug,0.6354046347982656 -2947,TTTGGATTGGGACCTAGCAAGGATGGGCAT,MED12,22.6,492.0,0.843073593,1,AZD_200nM,0.60070885203216 -2948,TTTGGATTGGGACCTAGCAAGGATGGGCAT,MED12,22.6,492.0,0.8593073590000001,1,PLX_2uM,0.60070885203216 -2949,ATTGGATTTAACAAATTTGGATCTTGGCAC,NF1,94.19,2674.0,0.144021739,0,PLX_2uM,0.2418856171244112 -2950,CTATGATTTCAGTGATGTCTTCAGAGGGAA,NF1,31.1,883.0,0.445652174,0,PLX_2uM,0.5903881260463828 -2951,CTTTGATTTGGTGTGCCGGACTCTGGGGCT,NF2,8.91,53.0,0.910313901,1,PLX_2uM,0.41314628824244937 -2952,TCAAGCAAAAATATGGGGAAGCCTTGGGCA,NF1,70.41,1999.0,0.510869565,0,PLX_2uM,0.35658915058215424 -2953,CGCAGCAAAACCTGGAAAACCCAAGGGAAA,TADA1,28.66,96.0,0.513761468,0,AZD_200nM,0.6760993934161128 -2954,AGGAGCAAACACTGCCGAGCGATGAGGATG,MED12,52.18,1136.0,0.9826839829999999,1,AZD_200nM,0.708048559070345 -2955,AGGAGCAAACACTGCCGAGCGATGAGGATG,MED12,52.18,1136.0,0.958874459,1,PLX_2uM,0.708048559070345 -2956,TTGAGCAAACTCAATACCTGCCCAAGGCTT,NF1,70.48,2001.0,0.441576087,0,PLX_2uM,0.5940531161406483 -2957,CTTAGCAAAGATATCTTCAGCAGTGGGGAA,MED12,37.94,826.0,0.327922078,0,AZD_200nM,0.5512045005104913 -2958,CTTAGCAAAGATATCTTCAGCAGTGGGGAA,MED12,37.94,826.0,0.332251082,0,PLX_2uM,0.5512045005104913 -2959,CAAGGCAAAGATCCAGCACCATCTAGGAGA,TADA1,23.28,78.0,0.41284403700000005,0,AZD_200nM,0.4840751568212755 -2960,GATGGCAACACTTCTTGCATACCTGGGTCC,NF1,54.42,1545.0,0.612771739,0,PLX_2uM,0.6493806920377061 -2961,ATTGGCAACATGTTAGCTTTGAAGTGGATC,NF1,46.5,1320.0,0.44429347799999996,0,PLX_2uM,0.6429621121870406 -2962,CCTGGCAACCTATAGCCCACCCATGGGTCC,NF1,30.5,866.0,0.191576087,0,PLX_2uM,0.6347234446603505 -2963,TACTGCAACGCTATCGCCCAGGGCGGGGAG,CD13,83.14,804.0,0.813186813,1,nodrug,0.4245187501838899 -2964,ACTTGCAACTTCCCAGCATTCCCCAGGTCA,NF1,98.31,2791.0,0.126358696,0,PLX_2uM,0.24134958991257083 -2965,AAAAGCAACTTTGATGCAGCACGCAGGTAA,NF1,51.99,1476.0,0.786684783,0,PLX_2uM,0.7055701713605668 -2966,AGCAGCAAGACCAAGCCTGTGCTCAGGTCG,MED12,65.09,1417.0,0.58008658,0,AZD_200nM,0.5869528245470742 -2967,AGCAGCAAGACCAAGCCTGTGCTCAGGTCG,MED12,65.09,1417.0,0.54978355,0,PLX_2uM,0.5869528245470742 -2968,TATTGCAAGTCACTGAGTGCAGAATGGCTA,MED12,50.11,1091.0,0.9783549779999999,1,AZD_200nM,0.6408784186964634 -2969,TATTGCAAGTCACTGAGTGCAGAATGGCTA,MED12,50.11,1091.0,0.995670996,1,PLX_2uM,0.6408784186964634 -2970,GGCTGCAAGTGCAGGAGTCAGTGACGGTAC,CD33,7.97,29.0,0.898268398,1,nodrug,0.7277121215592891 -2971,AGAGGCAAGTGGTATGACATGCCAAGGGCA,MED12,39.6,862.0,0.305194805,0,AZD_200nM,0.5623497487427973 -2972,AGAGGCAAGTGGTATGACATGCCAAGGGCA,MED12,39.6,862.0,0.335497835,0,PLX_2uM,0.5623497487427973 -2973,CGGGGCAATAGGCAAGTGGTCAAGTGGTGA,MED12,18.14,395.0,0.92965368,1,AZD_200nM,0.712040422668423 -2974,CGGGGCAATAGGCAAGTGGTCAAGTGGTGA,MED12,18.14,395.0,0.9329004329999999,1,PLX_2uM,0.712040422668423 -2975,TTAAGCAATTCATCCTCTCCAGGGCGGATC,MED12,12.26,267.0,0.877705628,1,AZD_200nM,0.7676995276373308 -2976,TTAAGCAATTCATCCTCTCCAGGGCGGATC,MED12,12.26,267.0,0.865800866,1,PLX_2uM,0.7676995276373308 -2977,ACATGCACAAAGAAAAAATGCTCCGGGCCA,TADA2B,67.62,284.0,0.784210526,0,AZD_200nM,0.5774792766602775 -2978,TTCTGCACAATGAGAACTCCGACAGGGGTG,NF2,95.29,567.0,0.07623318400000001,0,PLX_2uM,0.3804892225116725 -2979,TGCAGCACAATGTTCTAGTAGCGGAGGTGA,CUL3,94.27,724.0,0.454545455,0,PLX_2uM,0.4985322257635104 -2980,AGTGGCACACACTTCGAAGTTGAGGGGGGA,NF1,47.9,1360.0,0.75,0,PLX_2uM,0.6386189116448091 -2981,GTTTGCACACTGCAGAGGCCTGCTGGGCAT,CD5,15.18,75.0,0.8410041840000001,1,nodrug,0.49506475020146784 -2982,TTTAGCACAGCAAAAGCCCCTCCTTGGCTG,TADA1,98.51,330.0,0.04587156,0,AZD_200nM,0.2469152558880276 -2983,ACCAGCACAGGGAGCAGTAAAAGCTGGAGG,TADA1,70.15,235.0,0.366972477,0,AZD_200nM,0.5431706059017981 -2984,GAGGGCACATAAGCAGGTCACTAAAGGGAG,MED12,15.94,347.0,0.463203463,0,AZD_200nM,0.5054947421420158 -2985,GAGGGCACATAAGCAGGTCACTAAAGGGAG,MED12,15.94,347.0,0.454545455,0,PLX_2uM,0.5054947421420158 -2986,CGCAGCACCCAGCAGACCACGGAGTGGGCC,MED12,71.47,1556.0,0.648268398,0,AZD_200nM,0.6898298573022814 -2987,CGCAGCACCCAGCAGACCACGGAGTGGGCC,MED12,71.47,1556.0,0.617965368,0,PLX_2uM,0.6898298573022814 -2988,TGGGGCACCGCAGGTTGCTGCTGCCGGTAC,MED12,87.28,1900.0,0.262987013,0,AZD_200nM,0.39907678745899705 -2989,TGGGGCACCGCAGGTTGCTGCTGCCGGTAC,MED12,87.28,1900.0,0.232683983,0,PLX_2uM,0.39907678745899705 -2990,CCTTGCACCTTCTCCTCCTCTTTGGGGCAT,CD43,2.28,9.0,0.833333333,1,nodrug,0.5245723102327149 -2991,GAACGCACGAGGGATGAGTTGGAGAGGAGG,NF2,60.0,357.0,0.421524664,0,PLX_2uM,0.6600978192219312 -2992,AGCAGCACGCCCACCGGTCGCGACGGGGTT,CD15,35.09,186.0,0.366300366,0,nodrug,0.4183827027018546 -2993,GAGAGCACGTGCTTCCTCTTCTCTCGGGTC,THY1,35.8,58.0,0.032258065,0,nodrug,0.4288688412559881 -2994,GGCAGCACTCCAGGGTAAGTTGGTCGGGTG,MED12,85.99,1872.0,0.543290043,0,AZD_200nM,0.5008495204726157 -2995,GGCAGCACTCCAGGGTAAGTTGGTCGGGTG,MED12,85.99,1872.0,0.43722943700000005,0,PLX_2uM,0.5008495204726157 -2996,GGCTGCACTCCTGCTGGCATGCTCCGGAGA,TADA1,78.51,263.0,0.669724771,0,AZD_200nM,0.40498343863580055 -2997,TGATGCACTGCCTTGACAAATCAACGGAAG,CUL3,33.2,255.0,0.811688312,1,PLX_2uM,0.6834039731590797 -2998,GAAGGCACTGTTACCCTCTGGCATGGGCAG,MED12,18.7,407.0,0.858225108,1,AZD_200nM,0.5946320864407462 -2999,GAAGGCACTGTTACCCTCTGGCATGGGCAG,MED12,18.7,407.0,0.935064935,1,PLX_2uM,0.5946320864407462 -3000,AAAGGCACTTGAGAGTTGCTTAAAAGGACC,NF1,80.27,2279.0,0.06385869599999999,0,PLX_2uM,0.1949085552053538 -3001,TTCTGCACTTGGCTTGCGGATCCGTGGCGA,NF1,99.19,2816.0,0.04076087,0,PLX_2uM,0.15726413799286448 -3002,AGTAGCAGAAACTGATTATGAAATGGGTGA,NF1,90.81,2578.0,0.054347825999999995,0,PLX_2uM,0.2480615311858751 -3003,TGGAGCAGAAGGTGCTGGAAGCCGAGGTGC,NF2,72.77,433.0,0.23766816100000002,0,PLX_2uM,0.554208944430315 -3004,GATGGCAGACAGCAGCAGGACTACTGGCTG,CD13,62.05,600.0,0.6879120879999999,0,nodrug,0.5092318020653321 -3005,AGATGCAGACTCAGGTTTAGATACAGGCTC,CD45,21.06,238.0,0.393501805,0,nodrug,0.49699754959943027 -3006,TCCAGCAGAGAAGCAATTCTGGCCTGGCAA,NF1,30.26,859.0,0.164402174,0,PLX_2uM,0.5172378003968883 -3007,TGAGGCAGAGACAAAGAGCGAGCAGGGCTG,CD33,74.45,271.0,0.573593074,0,nodrug,0.5152099912484687 -3008,GTCAGCAGAGACAGGGTCATCTTCTGGAAG,MED12,64.26,1399.0,0.261904762,0,AZD_200nM,0.36544958934709243 -3009,GTCAGCAGAGACAGGGTCATCTTCTGGAAG,MED12,64.26,1399.0,0.28246753199999997,0,PLX_2uM,0.36544958934709243 -3010,TTCAGCAGAGCGAACAAAAGTCCTAGGGCA,NF1,62.42,1772.0,0.7853260870000001,0,PLX_2uM,0.53236746244089 -3011,CCTTGCAGAGCGCCAAGTCCCGAGTGGCCT,NF2,98.82,588.0,0.11659192800000001,0,PLX_2uM,0.3614950619761874 -3012,AGCAGCAGATCAAGGAGCGGGGACAGGCAG,MED12,19.84,432.0,0.523809524,0,AZD_200nM,0.49117649256107254 -3013,AGCAGCAGATCAAGGAGCGGGGACAGGCAG,MED12,19.84,432.0,0.525974026,0,PLX_2uM,0.49117649256107254 -3014,TTCAGCAGATGAAAGCCCAGGCCAGGGAGG,NF2,54.62,325.0,0.5650224220000001,0,PLX_2uM,0.5530481277400936 -3015,TATTGCAGATGAAGTGGAAAGGGAAGGACC,NF2,7.23,43.0,0.44394618799999996,0,PLX_2uM,0.6844585238669058 -3016,AGCAGCAGCAACAGACAGCAGCTTTGGTCC,MED12,98.9,2153.0,0.008658009,0,AZD_200nM,0.12344534451596378 -3017,AGCAGCAGCAACAGACAGCAGCTTTGGTCC,MED12,98.9,2153.0,0.022727273,0,PLX_2uM,0.12344534451596378 -3018,ACCAGCAGCAACAGCAGCAACAGGCGGCTC,MED12,97.52,2123.0,0.034632035,0,AZD_200nM,0.21330586635970972 -3019,ACCAGCAGCAACAGCAGCAACAGGCGGCTC,MED12,97.52,2123.0,0.11255411300000001,0,PLX_2uM,0.21330586635970972 -3020,AGATGCAGCACAATGTTCTAGTAGCGGAGG,CUL3,94.14,723.0,0.694805195,0,PLX_2uM,0.5143073089522768 -3021,GCCAGCAGCACCACCAGGAGTACAAGGGTC,CD5,78.34,387.0,0.740585774,0,nodrug,0.5412964164007447 -3022,AGCAGCAGCAGCAGCAGATCCTGCGGGTAA,MED12,95.91,2088.0,0.09199134199999999,0,AZD_200nM,0.1347665591206236 -3023,AGCAGCAGCAGCAGCAGATCCTGCGGGTAA,MED12,95.91,2088.0,0.17099567100000002,0,PLX_2uM,0.1347665591206236 -3024,CTGAGCAGCAGGCTGCACTCCTGCTGGCAT,TADA1,77.61,260.0,0.5596330279999999,0,AZD_200nM,0.4125895481802988 -3025,CACTGCAGCCAATCCTGTGACAGACGGACC,CD43,33.67,133.0,1.0,1,nodrug,0.6295437335685645 -3026,CACTGCAGCCAATCCTGTGACAGACGGACC,CD43,35.95,142.0,1.0,1,nodrug,0.6295437335685645 -3027,CACTGCAGCCAATCCTGTGACAGACGGACC,CD43,33.67,133.0,1.0,1,nodrug,0.6295437335685645 -3028,CACTGCAGCCAATCCTGTGACAGACGGACC,CD43,35.95,142.0,1.0,1,nodrug,0.6295437335685645 -3029,CACTGCAGCCAATCCTGTGACAGACGGACC,CD43,33.67,133.0,1.0,1,nodrug,0.6295437335685645 -3030,CACTGCAGCCAATCCTGTGACAGACGGACC,CD43,35.95,142.0,1.0,1,nodrug,0.6295437335685645 -3031,CACTGCAGCCAATCCTGTGACAGACGGACC,CD43,33.67,133.0,1.0,1,nodrug,0.6295437335685645 -3032,CACTGCAGCCAATCCTGTGACAGACGGACC,CD43,35.95,142.0,1.0,1,nodrug,0.6295437335685645 -3033,CCTTGCAGCCACCTATCCAACTGTCGGCCA,NF1,88.41,2510.0,0.80298913,1,PLX_2uM,0.5245661638940845 -3034,TCATGCAGCCATGAGTGCAACCAGCGGTTG,MED12,34.54,752.0,0.95021645,1,AZD_200nM,0.7225822473069189 -3035,TCATGCAGCCATGAGTGCAACCAGCGGTTG,MED12,34.54,752.0,0.904761905,1,PLX_2uM,0.7225822473069189 -3036,TCAGGCAGCCCCTGATGGTACACATGGCAT,H2-K,76.42,282.0,0.7159763309999999,0,nodrug,0.6175696755557847 -3037,TGGGGCAGCGGGATGACACGGCGCCGGCTC,CCDC101,70.99,208.0,0.43624161100000003,0,AZD_200nM,0.47855819739475036 -3038,AAGCGCAGCGGGCTCACCTCGGCCAGGCAG,TADA2B,3.33,14.0,0.936842105,1,AZD_200nM,0.521816427855088 -3039,CTTTGCAGCGTACCGCCCCTGACAGGGACC,CD28,101.0,300.54649889999996,0.513513514,0,nodrug,0.38535963942231644 -3040,GGGGGCAGCTGCCGCCGCTGCCCTGGGCGT,CD15,33.77,179.0,0.52014652,0,nodrug,0.3844026392994393 -3041,TCTTGCAGCTGGATCCCCACAACTAGGCTT,CD45,19.56,221.0,0.945848375,1,nodrug,0.5762197507025453 -3042,GGTGGCAGGAAACGTGGCATGTCTCGGAGG,NF1,39.98,1135.0,0.256793478,0,PLX_2uM,0.5422847238550649 -3043,CTGAGCAGGAAATGCAGCGCATCAAGGCCA,NF2,69.24,412.0,0.744394619,0,PLX_2uM,0.5666347208329233 -3044,TGCCGCAGGACAGCCACGATGCACAGGCAC,MED12,42.49,925.0,0.9632034629999999,1,AZD_200nM,0.61445706984278 -3045,TGCCGCAGGACAGCCACGATGCACAGGCAC,MED12,42.49,925.0,0.914502165,1,PLX_2uM,0.61445706984278 -3046,CCACGCAGGACCACCCTGTGCCCCTGGCTG,CD13,13.86,134.0,0.47032967,0,nodrug,0.5118719341212951 -3047,TGGAGCAGGAGGGGCCCGAGTATTGGGAGC,H2-K,21.68,80.0,0.24260355,0,nodrug,0.3731135432416409 -3048,CAGTGCAGGAGGGTAAGGAGATGTGGGAGT,NF1,97.22,2760.0,0.269021739,0,PLX_2uM,0.19862942496778713 -3049,AAGTGCAGGAGTCAGTGACGGTACAGGAGG,CD33,8.52,31.0,0.8636363640000001,1,nodrug,0.5751260282879008 -3050,ATCGGCAGGATCATCAAAGGGAGAGGGAGG,MED12,29.21,636.0,0.432900433,0,AZD_200nM,0.5941340660382558 -3051,ATCGGCAGGATCATCAAAGGGAGAGGGAGG,MED12,29.21,636.0,0.424242424,0,PLX_2uM,0.5941340660382558 -3052,AGAAGCAGGCATCCAATGGTGTCTTGGTAT,CD13,30.82,298.0,0.34725274700000003,0,nodrug,0.5425112317332338 -3053,AGGAGCAGGCGGCTCCTCATCTTCTGGGGG,MED12,80.29,1748.0,0.037878788,0,AZD_200nM,0.14368969763881337 -3054,AGGAGCAGGCGGCTCCTCATCTTCTGGGGG,MED12,80.29,1748.0,0.021645022000000003,0,PLX_2uM,0.14368969763881337 -3055,TGAGGCAGGGATGGCCCCACAGAGGGGTGG,CCDC101,49.49,145.0,0.456375839,0,AZD_200nM,0.6802949565306989 -3056,TCTGGCAGGGGCGTAGGGCTGGTAAGGCTT,CD28,94.04,205.0,0.418918919,0,nodrug,0.39065419647539384 -3057,CCGAGCAGGGTCCTCAGGTCCACTCGGAAA,H2-K,26.29,97.0,0.8402366859999999,1,nodrug,0.5917379101001946 -3058,AGAAGCAGGTAGTCTGGGGATACAGGGCCA,CCDC101,81.23,238.0,0.8657718120000001,1,AZD_200nM,0.5109701719675689 -3059,CATTGCAGGTCCGTGCAAAGTTGCGGGAGA,MED12,19.34,421.0,0.028138528,0,AZD_200nM,0.43258522330172683 -3060,CATTGCAGGTCCGTGCAAAGTTGCGGGAGA,MED12,19.34,421.0,0.003246753,0,PLX_2uM,0.43258522330172683 -3061,CCTTGCAGGTGAAACGGACGGTGCTGGAGC,CD13,11.17,108.0,0.140659341,0,nodrug,0.49052005610910226 -3062,TCCTGCAGGTGGTCCCACAGGTTCAGGTAG,CD13,53.36,516.0,0.17252747300000001,0,nodrug,0.33963729378271496 -3063,TCTTGCAGGTGTCCCGAGGGCAGAAGGTGA,THY1,12.35,20.0,0.693548387,0,nodrug,0.5734555699473541 -3064,GGAAGCAGTAGTTTCACTTCTAGCTGGTCT,NF1,38.04,1080.0,0.323369565,0,PLX_2uM,0.5117412272239336 -3065,GCCGGCAGTCAGGGGGCGGCCTCGGGGCGC,CD15,38.87,206.0,0.531135531,0,nodrug,0.4311255461566261 -3066,TACAGCAGTGCTTCCAGAAAACAACGGCCC,CD5,51.42,254.0,0.9163179920000001,1,nodrug,0.772319584388443 -3067,ACGAGCAGTGGATCCTGGCCGAGGTGGTCA,CCDC101,61.09,179.0,0.8187919459999999,1,AZD_200nM,0.6884136753484076 -3068,ATGTGCAGTTCATCTTCGACCTCATGGAAT,MED12,40.38,879.0,0.064935065,0,AZD_200nM,0.38138622869080807 -3069,ATGTGCAGTTCATCTTCGACCTCATGGAAT,MED12,40.38,879.0,0.007575758,0,PLX_2uM,0.38138622869080807 -3070,TCGAGCAGTTCGGCTTCGGAAACTGGGTGA,TADA2B,21.19,89.0,0.989473684,1,AZD_200nM,0.5581638699195461 -3071,CGCTGCAGTTCTCGGATCTTGGCCCGGAGC,TADA2B,68.1,286.0,0.921052632,1,AZD_200nM,0.4638425886044799 -3072,TTAGGCAGTTCTGACCCGAGTTTACGGTAG,NF1,65.83,1869.0,0.8736413040000001,1,PLX_2uM,0.4769916325583493 -3073,CGCGGCATAAACGGGAGAAGAGGAAGGAGA,TADA2B,75.71,318.0,0.5315789470000001,0,AZD_200nM,0.5630193082961829 -3074,GTCTGCATCCGCTCATGGGTCTTCTGGATG,CCDC101,13.65,40.0,0.033557047,0,AZD_200nM,0.22254942885025858 -3075,CCCAGCATCGTACCTGGCTCACAGTGGAGT,CD45,13.89,157.0,0.8339350179999999,1,nodrug,0.7660055448734204 -3076,CTGAGCATCGTAGACGCCAGGAGGAGGGAT,CD33,30.22,110.0,0.887445887,1,nodrug,0.5390891936050705 -3077,TGCAGCATCTACATCTATCTCTAAAGGAAC,CD43,38.48,152.0,0.637681159,0,nodrug,0.5204973269030286 -3078,GTGGGCATCTGTGGTGGTGCCTCTTGGGAA,H2-K,73.44,271.0,0.023668638999999998,0,nodrug,0.29392708912930754 -3079,GGAAGCATGTTGGACAGGGCTGTCAGGTCC,CD13,25.23,244.0,0.264835165,0,nodrug,0.4605483666021635 -3080,TTCTGCATTGGTAAGCGCACAGGACGGTAT,MED12,85.44,1860.0,0.9664502159999999,1,AZD_200nM,0.6622845782816557 -3081,TTCTGCATTGGTAAGCGCACAGGACGGTAT,MED12,85.44,1860.0,0.994588745,1,PLX_2uM,0.6622845782816557 -3082,TAATGCCAAACAGCAAGTAAAATTTGGGTA,NF1,76.12,2161.0,0.077445652,0,PLX_2uM,0.1805922488545653 -3083,TCAGGCCAACACTAAGAAGTTGCTTGGTTA,NF1,89.36,2537.0,0.495923913,0,PLX_2uM,0.3825000570974255 -3084,CGTCGCCAACCCCGTCGCGACCGGTGGGCG,CD15,35.47,188.0,0.802197802,1,nodrug,0.4488888451191324 -3085,TTTGGCCAAGAAGTGAAAGGTGACTGGTTC,NF2,15.63,93.0,0.771300448,0,PLX_2uM,0.48358673201426655 -3086,CTCAGCCACAGAGATGTCCAGCGGGGGCAG,TADA2B,36.67,154.0,0.994736842,1,AZD_200nM,0.6651852934519507 -3087,ATCTGCCACAGGTTTGTGCTCTGGAGGACC,NF1,54.6,1550.0,0.203804348,0,PLX_2uM,0.535894584176203 -3088,AAAAGCCACCACCTAGAATCGAAAGGGGCT,NF1,50.58,1436.0,0.57201087,0,PLX_2uM,0.5501493265452391 -3089,TCTGGCCACGTAGTCTCCTGAGGCAGGGAT,CCDC101,51.54,151.0,0.5704697989999999,0,AZD_200nM,0.4642263707514482 -3090,CACAGCCACTCACCTGCCCACAGCAGGGGC,CD33,2.75,10.0,0.597402597,0,nodrug,0.4640532452384489 -3091,CACTGCCACTGCCCCCAGAAGATGAGGAGC,MED12,80.29,1748.0,0.354978355,0,AZD_200nM,0.5102209330575499 -3092,CACTGCCACTGCCCCCAGAAGATGAGGAGC,MED12,80.29,1748.0,0.295454545,0,PLX_2uM,0.5102209330575499 -3093,GTCGGCCAGACCAGTCCCCGAGCCAGGAAA,NF1,88.69,2518.0,0.45244565200000003,0,PLX_2uM,0.36949801290602396 -3094,CGAAGCCAGCAATCTTGTTGCCCTTGGTAT,MED12,76.34,1662.0,0.284632035,0,AZD_200nM,0.39972168336436936 -3095,CGAAGCCAGCAATCTTGTTGCCCTTGGTAT,MED12,76.34,1662.0,0.274891775,0,PLX_2uM,0.39972168336436936 -3096,GGCCGCCAGCACACAGACGGTCCATGGCAG,CD15,28.68,152.0,0.692307692,0,nodrug,0.5845991161386654 -3097,GAATGCCAGCCCATCAGTTTCTGTGGGGTC,CD43,12.66,50.0,0.036231884,0,nodrug,0.46814614876946875 -3098,AGAAGCCAGGAGCACAGAAGCCTCAGGAGG,NF2,23.03,137.0,0.847533632,1,PLX_2uM,0.6084491371501114 -3099,ACCGGCCAGGGCCTGCAGGAAGTGGGGGCT,MED12,9.74,212.0,0.7987012990000001,0,AZD_200nM,0.5391090704003771 -3100,ACCGGCCAGGGCCTGCAGGAAGTGGGGGCT,MED12,9.74,212.0,0.7835497840000001,0,PLX_2uM,0.5391090704003771 -3101,GGACGCCATCGAGCAGTTCGGCTTCGGAAA,TADA2B,20.48,86.0,0.3,0,AZD_200nM,0.4237968038176351 -3102,GTCTGCCATCTCTGATGGATGTGATGGGCA,CD13,60.91,589.0,0.7494505490000001,0,nodrug,0.4993183050985506 -3103,GGCTGCCATGGACCGTCTGTGTGCTGGCGG,CD15,29.25,155.0,0.501831502,0,nodrug,0.47080264753112344 -3104,GGTCGCCATGTTGGAGACAGTGGATGGAGG,H2-K,81.57,301.0,0.372781065,0,nodrug,0.507389051364128 -3105,TGTAGCCATTTAAAGAACAAATTTGGGGAG,MED12,45.43,989.0,0.19047619,0,AZD_200nM,0.27712573954577335 -3106,TGTAGCCATTTAAAGAACAAATTTGGGGAG,MED12,45.43,989.0,0.12662337699999998,0,PLX_2uM,0.27712573954577335 -3107,TCTTGCCCAACTATAACACATTCATGGAGT,NF1,26.0,738.0,0.5978260870000001,0,PLX_2uM,0.40271981448127725 -3108,TCCAGCCCAAGGTTCAGAGCCGCCTGGTCG,CD5,56.07,277.0,0.945606695,1,nodrug,0.5515445571820504 -3109,AGAAGCCCAGGGCCCAGCACCTCAGGGTGA,H2-K,60.43,223.0,0.656804734,0,nodrug,0.5981841560004298 -3110,TGGTGCCCATGCTTATTGCCTTGGTGGTGG,CD43,65.32,258.0,0.210144928,0,nodrug,0.43775206090757796 -3111,TGGTGCCCCACACAGACGTGCATAAGGGCA,MED12,48.64,1059.0,0.350649351,0,AZD_200nM,0.46869394037063805 -3112,TGGTGCCCCACACAGACGTGCATAAGGGCA,MED12,48.64,1059.0,0.31709956699999997,0,PLX_2uM,0.46869394037063805 -3113,GGAGGCCCCAGCCGCGGCCGCTTCAGGGGC,MED12,0.69,15.0,0.022727273,0,AZD_200nM,0.0839731126105004 -3114,GGAGGCCCCAGCCGCGGCCGCTTCAGGGGC,MED12,0.69,15.0,0.027056277000000004,0,PLX_2uM,0.0839731126105004 -3115,GGATGCCCCAGGGCGGGGGCCAGTCGGGGG,CD15,46.98,249.0,0.08058608099999999,0,nodrug,0.28786262413571634 -3116,CGCTGCCCCAGTGGAAGGCCAACCCGGAGA,CCDC101,74.74,219.0,0.18120805399999998,0,AZD_200nM,0.4774471434548567 -3117,CAGAGCCCCCCAAAACTGACAAACCGGGGG,MED12,81.35,1771.0,0.13311688300000002,0,AZD_200nM,0.3498404663300881 -3118,CAGAGCCCCCCAAAACTGACAAACCGGGGG,MED12,81.35,1771.0,0.149350649,0,PLX_2uM,0.3498404663300881 -3119,TATAGCCCCCCTTGAGCACACAGAGGGCTA,HPRT1,30.28,66.0,0.96875,1,6TG_2ug/mL,0.656482421410056 -3120,ACTGGCCCCCGCCCTGGGGCATCCAGGCGC,CD15,48.11,255.0,0.278388278,0,nodrug,0.4306530758432636 -3121,CGCTGCCCCCGCTGGACATCTCTGTGGCTG,TADA2B,37.38,157.0,0.678947368,0,AZD_200nM,0.706336914962039 -3122,GCCCGCCCCGGCCGAACACGTCCACGGTCA,CD15,72.45,384.0,0.9890109890000001,1,nodrug,0.577745314348852 -3123,ACCGGCCCCTGAAGCGGCCGCGGCTGGGGC,MED12,0.83,18.0,0.191558442,0,AZD_200nM,0.1869110188777039 -3124,ACCGGCCCCTGAAGCGGCCGCGGCTGGGGC,MED12,0.83,18.0,0.117965368,0,PLX_2uM,0.1869110188777039 -3125,GGGGGCCCCTTCACGAGGTCGCGGTGGTGG,CD15,45.28,240.0,0.9926739929999999,1,nodrug,0.5827489167784637 -3126,GCTGGCCCGGGGGCCTGGGGCTGGAGGTCG,CD15,53.58,284.0,0.197802198,0,nodrug,0.37242287102294047 -3127,GGCTGCCCGGGTGAAGGCCGTGGATGGGGA,CCDC101,57.68,169.0,0.288590604,0,AZD_200nM,0.40267949298796724 -3128,TAGAGCCCTACAGTCCCTCGCCTGTGGTAA,CUL3,82.68,635.0,0.9480519479999999,1,PLX_2uM,0.5879161190442002 -3129,TGTAGCCCTCTGTGTGCTCAAGGGGGGCTA,HPRT1,31.65,69.0,1.0,1,6TG_2ug/mL,0.6421437198418021 -3130,CCAGGCCCTGCTTGAATACGTCCTCGGACA,CD13,51.09,494.0,0.752747253,0,nodrug,0.6489070495321361 -3131,GCGTGCCCTGGTTTGCAATGGTTAAGGTGA,NF1,63.47,1802.0,0.883152174,1,PLX_2uM,0.5332377595044963 -3132,CAATGCCCTTATGCACGTCTGTGTGGGGCA,MED12,48.78,1062.0,0.862554113,1,AZD_200nM,0.5694452121371962 -3133,CAATGCCCTTATGCACGTCTGTGTGGGGCA,MED12,48.78,1062.0,0.8636363640000001,1,PLX_2uM,0.5694452121371962 -3134,CCAGGCCCTTGCCAATTCGATGGGAGGCCC,CD5,47.98,237.0,0.22175732199999998,0,nodrug,0.5907341657562009 -3135,TAGGGCCCTTGCCCCATGATGTAGAGGTGG,MED12,10.38,226.0,0.125541126,0,AZD_200nM,0.5930097276372993 -3136,TAGGGCCCTTGCCCCATGATGTAGAGGTGG,MED12,10.38,226.0,0.107142857,0,PLX_2uM,0.5930097276372993 -3137,TTTGGCCGAATCTTGGTGTGTTGGGGGATA,NF1,64.85,1841.0,0.827445652,1,PLX_2uM,0.6251594111205689 -3138,TGGCGCCGAGGCCGGGGGCTGCCATGGACC,CD15,28.3,150.0,0.56043956,0,nodrug,0.356087305846589 -3139,GTTCGCCGCCATTGAGAACCTTCCAGGCTT,TADA2B,82.14,345.0,0.21578947399999998,0,AZD_200nM,0.29748954117269827 -3140,CGCCGCCGCCGTCGGCGAGCCCCACGGTGC,CD15,24.72,131.0,0.263736264,0,nodrug,0.45564149168694373 -3141,CCCAGCCGCGGCCGCTTCAGGGGCCGGTGT,MED12,0.6,13.0,0.481601732,0,AZD_200nM,0.3553828436697483 -3142,CCCAGCCGCGGCCGCTTCAGGGGCCGGTGT,MED12,0.6,13.0,0.42748917700000005,0,PLX_2uM,0.3553828436697483 -3143,TATCGCCGCTACTTCCACTGGCGCCGGAGC,CD15,92.26,489.0,0.886446886,1,nodrug,0.4725407793791615 -3144,GCACGCCGCTCACCTTCATGCACCAGGAGT,NF1,63.9,1814.0,0.707880435,0,PLX_2uM,0.5730556933735591 -3145,GGCAGCCGGAAGGACACCAAGATGCGGATC,CUL3,2.08,16.0,0.409090909,0,PLX_2uM,0.6028063161417176 -3146,CAACGCCGGCGCCATGGAGAACTGGGGACT,CD13,36.81,356.0,0.831868132,1,nodrug,0.7529618762432864 -3147,CGGGGCCGGGGCCTCAGGTGTGTGTGGTAG,MED12,79.38,1728.0,0.74025974,0,AZD_200nM,0.5014496064636573 -3148,CGGGGCCGGGGCCTCAGGTGTGTGTGGTAG,MED12,79.38,1728.0,0.7326839829999999,0,PLX_2uM,0.5014496064636573 -3149,TGAAGCCGTCAGCACCACTCTCTTGGGGCT,MED12,78.14,1701.0,0.18398268399999998,0,AZD_200nM,0.342312610540609 -3150,TGAAGCCGTCAGCACCACTCTCTTGGGGCT,MED12,78.14,1701.0,0.164502165,0,PLX_2uM,0.342312610540609 -3151,CTTTGCCGTCCTCCTTTCCCCGTTTGGAGC,TADA2B,78.33,329.0,0.073684211,0,AZD_200nM,0.2419338992898289 -3152,TGGTGCCGTGGTCCTGGGGCCGTGGGGTGA,CD33,55.49,202.0,0.939393939,1,nodrug,0.6299782365101694 -3153,CACCGCCGTGTCCCGGCCCGGCCTCGGGGA,H2-K,10.03,37.0,0.00591716,0,nodrug,0.18653167093959405 -3154,TCTTGCCTAGCCCCGTGTAGGTGAAGGTGT,MED12,47.54,1035.0,0.28354978399999997,0,AZD_200nM,0.5631562383537931 -3155,TCTTGCCTAGCCCCGTGTAGGTGAAGGTGT,MED12,47.54,1035.0,0.323593074,0,PLX_2uM,0.5631562383537931 -3156,CCCAGCCTCATACCAAGACACCATTGGATG,CD13,30.71,297.0,0.654945055,0,nodrug,0.6007697853097996 -3157,GAGTGCCTCATGCATAAGCTGCTTTGGTTT,MED12,70.14,1527.0,0.094155844,0,AZD_200nM,0.3387894634809815 -3158,GAGTGCCTCATGCATAAGCTGCTTTGGTTT,MED12,70.14,1527.0,0.062770563,0,PLX_2uM,0.3387894634809815 -3159,CGGGGCCTCCCATCGAATTGGCAAGGGCCT,CD5,47.37,234.0,0.38493723799999996,0,nodrug,0.5236240481754031 -3160,TGGGGCCTCCCGATGTTTACCCTCAGGACC,MED12,1.19,26.0,0.574675325,0,AZD_200nM,0.5114265036063861 -3161,TGGGGCCTCCCGATGTTTACCCTCAGGACC,MED12,1.19,26.0,0.7142857140000001,0,PLX_2uM,0.5114265036063861 -3162,CTTCGCCTCCTACGTGGAGTACCTGGGTGC,CD13,43.33,419.0,0.428571429,0,nodrug,0.5848438588847821 -3163,TTCCGCCTCCTTGGGGATCCCAGTAGGAAC,CD33,26.65,97.0,0.41991342,0,nodrug,0.6264285110562954 -3164,TGTTGCCTCGGAAGAGAGTCTGCATGGAGT,NF1,44.8,1272.0,0.6861413040000001,0,PLX_2uM,0.6388664095370151 -3165,TGGAGCCTCTCTCCGGAAGGGAAAAGGGAA,NF1,23.28,661.0,0.307065217,0,PLX_2uM,0.3728639647743617 -3166,TGCAGCCTGAAGAAGGAGATGGTGTGGAAT,NF1,38.46,1092.0,0.604619565,0,PLX_2uM,0.6556939120891195 -3167,AGCTGCCTGCAGAACCCAAAGACCTGGTGT,CD45,85.13,962.0,0.768953069,0,nodrug,0.5616395903585168 -3168,TGCAGCCTGCTGCTCAGCATCATCAGGGGG,TADA1,75.22,252.0,0.13761467900000002,0,AZD_200nM,0.26533867448988085 -3169,CGAAGCCTGGAAGGTTCTCAATGGCGGCGA,TADA2B,81.43,342.0,0.463157895,0,AZD_200nM,0.573455464826691 -3170,GTGCGCCTGGATGCCCCAGGGCGGGGGCCA,CD15,47.55,252.0,0.340659341,0,nodrug,0.4027723726782743 -3171,TCAGGCCTGGCCCCGCCACTGTCCAGGAAA,CD15,66.23,351.0,0.443223443,0,nodrug,0.44501072223960514 -3172,CTGCGCCTGGGCACTACTCAACACTGGGTC,MED12,60.27,1312.0,0.636363636,0,AZD_200nM,0.5884748117381365 -3173,CTGCGCCTGGGCACTACTCAACACTGGGTC,MED12,60.27,1312.0,0.633116883,0,PLX_2uM,0.5884748117381365 -3174,GGGGGCCTGGGGCTGGAGGTCGCCAGGGCT,CD15,53.02,281.0,0.32600732600000004,0,nodrug,0.2907375438836579 -3175,AGGGGCCTGTCCTTGGCCTTGTAGAGGATG,CD5,37.85,187.0,0.589958159,0,nodrug,0.5452086874125803 -3176,TTCTGCCTTGTTTCTTTCCTCTCTGGGTCG,CUL3,89.45,687.0,0.032467532,0,PLX_2uM,0.2890623570368254 -3177,CCGTGCCTTTGCTCAGATTCGACATGGTGC,CUL3,0.26,2.0,0.214285714,0,PLX_2uM,0.5352472806762789 -3178,ACCGGCGAAACGGGATCACCAAGATGGAAG,TADA2B,71.67,301.0,0.6,0,AZD_200nM,0.5391864584306854 -3179,AACAGCGACGTGGAAGTCTGTGTCGGGAAT,CD28,31.19,68.0,0.44594594600000004,0,nodrug,0.5561878728046502 -3180,CCTCGCGACTGGTCCAGCCGCCCTCGGCCT,TADA2B,16.19,68.0,0.715789474,0,AZD_200nM,0.5224558184779918 -3181,TAATGCGATATTGAGCAGTGTCCCAGGGAC,NF1,65.27,1853.0,0.764945652,0,PLX_2uM,0.5596520609819691 -3182,TAAAGCGATTGCTAGGCCCGGTATGGGTAA,NF1,58.05,1648.0,0.713315217,0,PLX_2uM,0.600247823883027 -3183,TCTGGCGCAACGCGTTGCTCGCTGGGGCGG,CD15,81.7,433.0,0.168498168,0,nodrug,0.5690784764126777 -3184,TGCAGCGCAGCACCCAGCAGACCACGGAGT,MED12,71.38,1554.0,0.867965368,1,AZD_200nM,0.6478039250585502 -3185,TGCAGCGCAGCACCCAGCAGACCACGGAGT,MED12,71.38,1554.0,0.78030303,0,PLX_2uM,0.6478039250585502 -3186,TCAGGCGCAGCTCCTTCTCCTCCTTGGTGA,TADA2B,59.76,251.0,0.194736842,0,AZD_200nM,0.46492219833993426 -3187,GGCAGCGCATAAAGCGCATTCTCCAGGTAG,MED12,61.92,1348.0,0.06601731599999999,0,AZD_200nM,0.5428116445248351 -3188,GGCAGCGCATAAAGCGCATTCTCCAGGTAG,MED12,61.92,1348.0,0.042207792,0,PLX_2uM,0.5428116445248351 -3189,AAGTGCGCCAGAGATCACAGTGGGAGGCCC,CD5,60.12,297.0,0.31799163199999997,0,nodrug,0.665805177560688 -3190,CTCGGCGCCGGCCGAGAAGCACTCGGGGCA,TADA2B,8.33,35.0,0.426315789,0,AZD_200nM,0.5558028181424468 -3191,GTGTGCGCCTGGATGCCCCAGGGCGGGGGC,CD15,47.55,252.0,0.5567765570000001,0,nodrug,0.39106568514980244 -3192,GACAGCGCCTTCGCCAACAGCTCCAGGCAA,MED12,87.97,1915.0,0.232683983,0,AZD_200nM,0.42337091387930903 -3193,GACAGCGCCTTCGCCAACAGCTCCAGGCAA,MED12,87.97,1915.0,0.241341991,0,PLX_2uM,0.42337091387930903 -3194,GGCGGCGCGGGTGGCGCCGAGGCCGGGGGC,CD15,27.55,146.0,0.04395604400000001,0,nodrug,0.14691277474745482 -3195,GCGGGCGCGGTGGATGGAGCAGGAGGGGCC,H2-K,20.33,75.0,0.970414201,1,nodrug,0.5956315352044823 -3196,ATCTGCGCGTGTTGGACTACGAGGAGGCAG,CD15,51.13,271.0,0.6593406589999999,0,nodrug,0.7697823135978111 -3197,CGGGGCGCTATCGCGCCCCCCGAAGGGCTC,CD15,37.55,199.0,0.194139194,0,nodrug,0.5252374253322647 -3198,CCAGGCGCTCACCGTCATCTGCTCTGGTAA,CD5,54.05,267.0,0.41422594100000004,0,nodrug,0.5430136608362254 -3199,TACAGCGCTCTGCAGAGGAGCCATCGGACC,MED12,44.28,964.0,0.558441558,0,AZD_200nM,0.644623574168375 -3200,TACAGCGCTCTGCAGAGGAGCCATCGGACC,MED12,44.28,964.0,0.522727273,0,PLX_2uM,0.644623574168375 -3201,TAGAGCGCTCTGGTGTATGGCTGGTGGCCC,MED12,65.55,1427.0,0.8755411259999999,1,AZD_200nM,0.7085178759641891 -3202,TAGAGCGCTCTGGTGTATGGCTGGTGGCCC,MED12,65.55,1427.0,0.888528139,1,PLX_2uM,0.7085178759641891 -3203,GAATGCGCTTTATGCGCTGCCGCTGGGGGT,MED12,61.6,1341.0,0.007575758,0,AZD_200nM,0.3653265658135366 -3204,GAATGCGCTTTATGCGCTGCCGCTGGGGGT,MED12,61.6,1341.0,0.032467532,0,PLX_2uM,0.3653265658135366 -3205,GACGGCGGCGGCGGGCGGGCGGCGCGGGTG,CD15,26.42,140.0,0.007326007,0,nodrug,0.22271943911138625 -3206,GGTAGCGGCGGTGGTGGCCGATCTCGGCGC,TADA2B,10.0,42.0,0.905263158,1,AZD_200nM,0.5040223430616589 -3207,CAATGCGGGAATCGGCAGACACGAGGGCCA,CCDC101,1.37,4.0,0.24161073800000002,0,AZD_200nM,0.653363997564365 -3208,TGACGCGGGAGCGGTACGTGTGCTCGGGTA,THY1,45.06,73.0,0.08064516099999999,0,nodrug,0.4625757566342184 -3209,GACGGCGGGCGCTTCACGCTCTGGGGGCCC,TADA2B,14.76,62.0,0.721052632,0,AZD_200nM,0.5955753141065381 -3210,AGTGGCGGGGCCAGGCCTGAGGGCGGGTCG,CD15,64.72,343.0,0.8644688640000001,1,nodrug,0.49066356153247237 -3211,GCGAGCGGGGGAAGATGGCGGAGCTGGGGA,TADA2B,0.71,3.0,0.510526316,0,AZD_200nM,0.326446663853062 -3212,TCCAGCGGGGGCAGCGGGGTGGTGAGGCTG,TADA2B,35.24,148.0,0.184210526,0,AZD_200nM,0.42034731241597784 -3213,CGGCGCGGGTGGCGCCGAGGCCGGGGGCTG,CD15,27.74,147.0,0.36996337,0,nodrug,0.38069090613124684 -3214,AGGGGCGGTACGCTGCAAAGTCTCTGGCAG,CD28,97.25,212.0,0.256756757,0,nodrug,0.37820331996803613 -3215,GGGCGCGGTAGAAGCAGGTAGTCTGGGGAT,CCDC101,82.25,241.0,0.315436242,0,AZD_200nM,0.4009969538283165 -3216,AGCTGCGGTGTCTTGAAAAGGTGAAGGAGG,MED12,54.11,1178.0,0.9794372290000001,1,AZD_200nM,0.6657477681814232 -3217,AGCTGCGGTGTCTTGAAAAGGTGAAGGAGG,MED12,54.11,1178.0,0.975108225,1,PLX_2uM,0.6657477681814232 -3218,TCCAGCGGTTCATGATGTCCCGCACGGTGG,CD13,55.53,537.0,0.969230769,1,nodrug,0.6520325832506162 -3219,ACCAGCGGTTGGTCGTACTGTTTGGGGTGG,MED12,34.82,758.0,0.838744589,1,AZD_200nM,0.6050822798866721 -3220,ACCAGCGGTTGGTCGTACTGTTTGGGGTGG,MED12,34.82,758.0,0.761904762,0,PLX_2uM,0.6050822798866721 -3221,AGTAGCGTCCAAATATGTTGGTACTGGGCT,MED12,99.72,2171.0,0.181818182,0,AZD_200nM,0.203829151859214 -3222,AGTAGCGTCCAAATATGTTGGTACTGGGCT,MED12,99.72,2171.0,0.16017316,0,PLX_2uM,0.203829151859214 -3223,AGCAGCGTCGCGTTCCCGTTCTTCAGGTAT,H2-K,52.57,194.0,0.153846154,0,nodrug,0.3375930209949349 -3224,TGGTGCTAACATGTCTGAAAGGGCAGGATG,MED12,68.49,1491.0,0.75,0,AZD_200nM,0.588615668142998 -3225,TGGTGCTAACATGTCTGAAAGGGCAGGATG,MED12,68.49,1491.0,0.743506494,0,PLX_2uM,0.588615668142998 -3226,CAAAGCTAACATGTTGCCAATCAGAGGATG,NF1,46.25,1313.0,0.769021739,0,PLX_2uM,0.6677482910412464 -3227,CACGGCTACCAGCTGGTGGACGGCGGGCGC,TADA2B,13.33,56.0,0.815789474,1,AZD_200nM,0.5414783405523009 -3228,AGCAGCTACCTGGGGCTGGGACTGGGGCTG,MED12,97.98,2133.0,0.033549784,0,AZD_200nM,0.10021106396514674 -3229,AGCAGCTACCTGGGGCTGGGACTGGGGCTG,MED12,97.98,2133.0,0.082251082,0,PLX_2uM,0.10021106396514674 -3230,TGCTGCTACTGCTGCCCCTGCTGTGGGCAG,CD33,2.75,10.0,0.5865800870000001,0,nodrug,0.5702329033449173 -3231,ACAAGCTAGATCAAGAAGTACAGGAGGAGA,CD33,22.8,83.0,0.7207792209999999,0,nodrug,0.7011782162508716 -3232,AGAAGCTCAACTACACCCTCAGCCAGGGGC,CD13,13.65,132.0,0.224175824,0,nodrug,0.5219032560919353 -3233,GACTGCTCACACCATCCAGCTGCAGGGCCA,MED12,14.15,308.0,0.80952381,1,AZD_200nM,0.7102798326178168 -3234,GACTGCTCACACCATCCAGCTGCAGGGCCA,MED12,14.15,308.0,0.7640692640000001,0,PLX_2uM,0.7102798326178168 -3235,TGCAGCTCACACCTTCACCTACACGGGGCT,MED12,47.59,1036.0,0.40259740299999996,0,AZD_200nM,0.6037518261695943 -3236,TGCAGCTCACACCTTCACCTACACGGGGCT,MED12,47.59,1036.0,0.385281385,0,PLX_2uM,0.6037518261695943 -3237,TGTGGCTCACACGTGATGACATCTCGGGTC,MED12,75.65,1647.0,0.6504329000000001,0,AZD_200nM,0.5088949093652858 -3238,TGTGGCTCACACGTGATGACATCTCGGGTC,MED12,75.65,1647.0,0.753246753,0,PLX_2uM,0.5088949093652858 -3239,GACAGCTCACACTCCAGCATCATATGGGTT,CUL3,72.01,553.0,0.623376623,0,PLX_2uM,0.4457504195997151 -3240,CCAGGCTCACCGGGTACGTGGGCTTGGTGG,NF2,80.5,479.0,0.004484305,0,PLX_2uM,0.3673720399659836 -3241,TGCTGCTCAGCATCATCAGGGGGTGGGTGA,TADA1,74.33,249.0,0.504587156,0,AZD_200nM,0.4441810001060084 -3242,TCCTGCTCAGCCTCTGCGGCCTTCTGGGCC,NF2,67.39,401.0,0.035874439,0,PLX_2uM,0.08962644452798457 -3243,GATAGCTCAGGACCTGGAGATGTACGGTGT,NF2,36.3,216.0,0.242152466,0,PLX_2uM,0.6057540763433408 -3244,ACCAGCTCAGTCTTGTCAATGTCGGGGGGC,CD13,15.41,149.0,0.441758242,0,nodrug,0.6163932293664459 -3245,CCAGGCTCATGGATTTCCTGGCTCGGGGAC,NF1,88.69,2518.0,0.457880435,0,PLX_2uM,0.2879230105624047 -3246,TCAAGCTCATGTTTGACCGCTCCGAGGTCT,CD13,73.63,712.0,0.925274725,1,nodrug,0.6760021117356859 -3247,CCTGGCTCCGACTCAGACCCGCGCGGGTGA,H2-K,5.42,20.0,0.786982249,0,nodrug,0.568164003047955 -3248,GTGGGCTCCGCATAGTCAGCACCCAGGTAC,CD13,43.54,421.0,0.9010989009999999,1,nodrug,0.7288836933995781 -3249,GTGGGCTCCGGCACGGTGGTGGGTGGGGTG,CD5,29.76,147.0,0.330543933,0,nodrug,0.41209665863816874 -3250,TCGAGCTCCTGTCAGATCGCGAGAAGGTGC,TADA2B,84.52,355.0,0.552631579,0,AZD_200nM,0.5615977493994277 -3251,CGTTGCTCGCTGGGGCGGTGCCGGTGGTGC,CD15,82.45,437.0,0.23076923100000002,0,nodrug,0.46509253509841625 -3252,AAGCGCTCGTAGTTGGCACGGTCTGGGCCC,CD15,83.58,443.0,0.454212454,0,nodrug,0.38514546351907203 -3253,TAGGGCTCTAACAAGCTCTCTTTCAGGGAT,CUL3,81.38,625.0,0.038961038999999996,0,PLX_2uM,0.2167696963457477 -3254,GGATGCTCTCCAGCTTCCTGTCCGAGGACG,CD13,50.88,492.0,0.874725275,1,nodrug,0.6373307544657144 -3255,GGACGCTCTCCTACCGGGCGGACTCGGACG,CD15,60.94,323.0,0.776556777,0,nodrug,0.461477046110953 -3256,TCACGCTCTGGGGGCCCGAGGCCGAGGGCG,TADA2B,15.71,66.0,0.142105263,0,AZD_200nM,0.3341477137037163 -3257,TAGAGCTCTTCAAAGAAGGCCACTCGGGAC,NF2,98.99,589.0,0.071748879,0,PLX_2uM,0.29337015235182873 -3258,ATAAGCTGAAAAAGGGAGTCAAAGGGGTAA,CUL3,52.21,401.0,0.7207792209999999,0,PLX_2uM,0.728161177015891 -3259,ACACGCTGAAACCCGATTCCTACCGGGTGA,CD13,8.79,85.0,0.6835164840000001,0,nodrug,0.658860713129322 -3260,AGGCGCTGAAGCGCAAGATCACCAAGGAGG,TADA2B,59.29,249.0,0.731578947,0,AZD_200nM,0.7146529162854547 -3261,GGCAGCTGACAACCAGGAGAAGATCGGGGG,CD33,48.63,177.0,0.42207792200000005,0,nodrug,0.541851465139348 -3262,AACAGCTGAGATGTGGTGACCCCTTGGCCC,CD5,17.81,88.0,0.845188285,1,nodrug,0.6007704822502363 -3263,CGGCGCTGATCACCAAACACAAGTGGGAGC,H2-K,45.26,167.0,0.863905325,1,nodrug,0.6874957065939681 -3264,CGGCGCTGATCACCTACGCTTGCTGGGGGC,CD15,32.26,171.0,0.684981685,0,nodrug,0.41643603345478936 -3265,ATGAGCTGCAGCTCCAAGGAAGACTGGCGC,MED12,62.43,1359.0,0.944805195,1,AZD_200nM,0.59322814111943 -3266,ATGAGCTGCAGCTCCAAGGAAGACTGGCGC,MED12,62.43,1359.0,0.923160173,1,PLX_2uM,0.59322814111943 -3267,ATTGGCTGCAGGTCCGTCTGTCACAGGATT,CD43,33.67,133.0,0.942028986,1,nodrug,0.5449991444756395 -3268,AGATGCTGCAGTTCCGTCTGTCACAGGATT,CD43,35.95,142.0,0.913043478,1,nodrug,0.5702468473787442 -3269,ATGAGCTGCATGAGGCGCTGCGCCTGGGCA,MED12,60.5,1317.0,0.458874459,0,AZD_200nM,0.4108266281877312 -3270,ATGAGCTGCATGAGGCGCTGCGCCTGGGCA,MED12,60.5,1317.0,0.627705628,0,PLX_2uM,0.4108266281877312 -3271,CAGCGCTGCCTGTTCGCGCCATGGGGGCAC,CD15,23.77,126.0,0.6520146520000001,0,nodrug,0.6561300395210986 -3272,AGGTGCTGCGAGTTCTCGAAAGCCAGGTAG,CD15,77.74,412.0,0.39194139200000006,0,nodrug,0.5023422044561682 -3273,ACGTGCTGCGCAGCATCTGCCAACAGGTCA,MED12,59.16,1288.0,0.017316017,0,AZD_200nM,0.4337971833786733 -3274,ACGTGCTGCGCAGCATCTGCCAACAGGTCA,MED12,59.16,1288.0,0.061688312,0,PLX_2uM,0.4337971833786733 -3275,TTTTGCTGCGGAACCCCCTGGCCAAGGCAA,TADA1,25.67,86.0,0.348623853,0,AZD_200nM,0.4801114881375589 -3276,GCTGGCTGCGTTTCTTGCCCTTGGTGGACT,MED12,82.13,1788.0,0.288961039,0,AZD_200nM,0.3739903464831904 -3277,GCTGGCTGCGTTTCTTGCCCTTGGTGGACT,MED12,82.13,1788.0,0.253246753,0,PLX_2uM,0.3739903464831904 -3278,TCAGGCTGCTCAGGGCGGCCTCCCAGGGCA,CD13,71.98,696.0,0.014285714,0,nodrug,0.28377383794966615 -3279,TGCTGCTGCTGCTGCTGCCGGATGTGGTAC,MED12,95.5,2079.0,0.079004329,0,AZD_200nM,0.1409821129648148 -3280,TGCTGCTGCTGCTGCTGCCGGATGTGGTAC,MED12,95.5,2079.0,0.109307359,0,PLX_2uM,0.1409821129648148 -3281,TGCTGCTGCTGCTGCTGCTCAGGTAGGATG,MED12,94.12,2049.0,0.103896104,0,AZD_200nM,0.26882959430348646 -3282,TGCTGCTGCTGCTGCTGCTCAGGTAGGATG,MED12,94.12,2049.0,0.048701299,0,PLX_2uM,0.26882959430348646 -3283,AGCTGCTGCTTGGAGTGGATGCCCTGGGGC,NF2,40.0,238.0,0.569506726,0,PLX_2uM,0.4979863294157874 -3284,TTCTGCTGGAAACTGAGGTGCCACGGGCCA,CD43,55.7,220.0,0.405797101,0,nodrug,0.5689045774816374 -3285,CCATGCTGGAAGGCCTGGAAGCAGAGGGCA,CD45,62.04,701.0,0.7328519859999999,0,nodrug,0.530554622898565 -3286,ATGGGCTGGACAATGTCACCGAGGAGGCTG,TADA1,50.45,169.0,0.7889908259999999,0,AZD_200nM,0.711724124528326 -3287,CTCTGCTGGAGGCACACTCCCCCAAGGGCA,NF1,29.87,848.0,0.59375,0,PLX_2uM,0.5890605489284165 -3288,TGGTGCTGGATCTTTGCCTTGGCCAGGGGG,TADA1,25.37,85.0,0.229357798,0,AZD_200nM,0.2943380130701045 -3289,AGAAGCTGGATTCTGACCAGCACAGGGAGC,TADA1,71.64,240.0,0.697247706,0,AZD_200nM,0.6187627915063503 -3290,AGGTGCTGGCACTGAAGATGGCTGAGGAGT,NF2,74.12,441.0,0.358744395,0,PLX_2uM,0.5630093172517024 -3291,ATGGGCTGGCATTCTGGGCTTCAGAGGTAC,CD43,10.38,41.0,0.8478260870000001,1,nodrug,0.641993474989576 -3292,TGCTGCTGGCCATGTGTGGTCCTCTGGTCT,CD5,80.57,398.0,0.543933054,0,nodrug,0.36287022812883835 -3293,AGAAGCTGGCCATGTTCATGTTTCAGGTAG,MED12,11.21,244.0,0.104978355,0,AZD_200nM,0.2832558610915958 -3294,AGAAGCTGGCCATGTTCATGTTTCAGGTAG,MED12,11.21,244.0,0.106060606,0,PLX_2uM,0.2832558610915958 -3295,CTAAGCTGGCTCTGCAGTGCAGGAGGGTAA,NF1,97.36,2764.0,0.17798913,0,PLX_2uM,0.2494180140004622 -3296,TGCTGCTGGCTGCCACATACCTGCTGGGAA,CD5,2.63,13.0,0.882845188,1,nodrug,0.5183910287174313 -3297,AGCAGCTGGGCTACATGCCGCTGCGGGATG,TADA2B,40.24,169.0,0.273684211,0,AZD_200nM,0.5147599304530761 -3298,GGCTGCTGGGGAAGAATTGGAGAAGGGTCA,MED12,66.7,1452.0,0.903679654,1,AZD_200nM,0.7056406180215481 -3299,GGCTGCTGGGGAAGAATTGGAGAAGGGTCA,MED12,66.7,1452.0,0.87987013,1,PLX_2uM,0.7056406180215481 -3300,TGCTGCTGGGTCTGCTGAAGCCCCTGGCGC,MED12,98.35,2141.0,0.001082251,0,AZD_200nM,0.1215265215159987 -3301,TGCTGCTGGGTCTGCTGAAGCCCCTGGCGC,MED12,98.35,2141.0,0.029220779,0,PLX_2uM,0.1215265215159987 -3302,GCCCGCTGGGTTTGGGTCTTGGCCTGGATA,CD5,74.29,367.0,0.07949790799999999,0,nodrug,0.34176752376494135 -3303,ACCAGCTGGTAGCCGTGGTAGCGGCGGTGG,TADA2B,11.19,47.0,0.48421052600000003,0,AZD_200nM,0.6628456444440507 -3304,TCAGGCTGGTCACCTTCTGCCCTCGGGACA,THY1,11.73,19.0,0.516129032,0,nodrug,0.5215045324083419 -3305,CGTGGCTGGTCGTAAAGAACCCCAAGGGTC,MED12,33.21,723.0,0.866883117,1,AZD_200nM,0.690416164460669 -3306,CGTGGCTGGTCGTAAAGAACCCCAAGGGTC,MED12,33.21,723.0,0.835497835,1,PLX_2uM,0.690416164460669 -3307,TGGTGCTGGTGGGATGTTGCACTTTGGTGT,CUL3,67.97,522.0,0.662337662,0,PLX_2uM,0.4648796272927891 -3308,TAGGGCTGGTTGGAGAGGGTGACGCGGGAG,THY1,48.77,79.0,0.14516129,0,nodrug,0.5907688266173229 -3309,TTCTGCTGTACTGCCTTGGGTTTCGGGCCC,NF1,18.25,518.0,0.104619565,0,PLX_2uM,0.2042585525964002 -3310,ATGGGCTGTCAGCTGCAAGCGTTCTGGTCG,MED12,23.7,516.0,0.172077922,0,AZD_200nM,0.3930361580025432 -3311,ATGGGCTGTCAGCTGCAAGCGTTCTGGTCG,MED12,23.7,516.0,0.207792208,0,PLX_2uM,0.3930361580025432 -3312,CTGTGCTGTCCTAGTGCCTTGGTTTGGCAC,MED12,17.36,378.0,0.791125541,0,AZD_200nM,0.53688895091385 -3313,CTGTGCTGTCCTAGTGCCTTGGTTTGGCAC,MED12,17.36,378.0,0.810606061,1,PLX_2uM,0.53688895091385 -3314,GCCTGCTGTCTCTGGGGATGAGCATGGCAG,MED12,2.53,55.0,0.5367965370000001,0,AZD_200nM,0.5915686322606122 -3315,GCCTGCTGTCTCTGGGGATGAGCATGGCAG,MED12,2.53,55.0,0.465367965,0,PLX_2uM,0.5915686322606122 -3316,TCTGGCTGTGAAGTGGGGTCCGACGGGCGA,H2-K,34.42,127.0,0.869822485,1,nodrug,0.5605145313665227 -3317,TGGAGCTGTGATATGTGGGGTAGATGGTAG,CD43,7.85,31.0,0.84057971,1,nodrug,0.6034747672032399 -3318,TCGAGCTGTGCCCCGAGTGCTTCTCGGCCG,TADA2B,8.57,36.0,0.063157895,0,AZD_200nM,0.43166835659092406 -3319,ACCCGCTGTGGGGGCGCATGGATCAGGGCG,CCDC101,84.98,249.0,0.25503355699999997,0,AZD_200nM,0.25929566586093866 -3320,TGCTGCTGTGGTGGGAGCCCTTCGGGGGGC,CD15,37.36,198.0,0.835164835,1,nodrug,0.5747309486512082 -3321,CGTCGCTGTTCACGCCCTTGTACAGGGATG,CD28,26.15,57.0,0.7972972970000001,0,nodrug,0.6041315267282995 -3322,TGGAGCTTACTGTTGTAGCCACAGAGGGTC,CD43,44.05,174.0,0.695652174,0,nodrug,0.6773325478796967 -3323,AATGGCTTACTTGGATTAAAAAGCAGGTTC,NF1,12.57,357.0,0.6915760870000001,0,PLX_2uM,0.5490810260836851 -3324,TCTGGCTTATATCCAACACTTCGTGGGGTC,HPRT1,77.98,170.0,0.328125,0,6TG_2ug/mL,0.47093959505043104 -3325,AAGGGCTTATTGGATCTGAAGAGTAGGTTC,CUL3,45.57,350.0,0.525974026,0,PLX_2uM,0.6370374224204237 -3326,CCAGGCTTCCCGATCCACAGGGGCAGGGTC,CCDC101,44.71,131.0,0.32214765100000003,0,AZD_200nM,0.43102312953205524 -3327,ACGTGCTTCCTCTTCTCTCGGGTCAGGCTG,THY1,34.57,56.0,0.580645161,0,nodrug,0.4401034659701657 -3328,AGCTGCTTCTCAAATCCTCGGATCTGGTGG,MED12,41.94,913.0,0.568181818,0,AZD_200nM,0.46665724684772564 -3329,AGCTGCTTCTCAAATCCTCGGATCTGGTGG,MED12,41.94,913.0,0.555194805,0,PLX_2uM,0.46665724684772564 -3330,CAGAGCTTCTCGGTGATATAATCCAGGTGC,CD15,79.25,420.0,0.6959706959999999,0,nodrug,0.48851752428368134 -3331,CCTTGCTTCTTCATGCAGGCTGTGTGGCGT,MED12,43.68,951.0,0.9718614720000001,1,AZD_200nM,0.6885968590988133 -3332,CCTTGCTTCTTCATGCAGGCTGTGTGGCGT,MED12,43.68,951.0,0.96969697,1,PLX_2uM,0.6885968590988133 -3333,CCCTGCTTGAATACGTCCTCGGACAGGAAG,CD13,50.88,492.0,0.803296703,1,nodrug,0.602233023609832 -3334,GTCTGCTTGGGCAGTGGCAGCAGCTGGCGA,MED12,75.24,1638.0,0.7283549779999999,0,AZD_200nM,0.39272122025191747 -3335,GTCTGCTTGGGCAGTGGCAGCAGCTGGCGA,MED12,75.24,1638.0,0.482683983,0,PLX_2uM,0.39272122025191747 -3336,TACTGCTTGGTACGCAGAGCACCGAGGCCG,NF2,32.77,195.0,0.780269058,0,PLX_2uM,0.7940416347439514 -3337,CTTGGCTTGGTGACCTGGTGGTTATGGGAT,CD43,60.25,238.0,0.086956522,0,nodrug,0.24030678085560678 -3338,CCCTGCTTGTGGTAGATAGCAACGAGGTCA,CD28,16.06,35.0,0.9189189190000001,1,nodrug,0.8503143738644589 -3339,TAGAGCTTGTTGTCACAGTGGTGGGGGGTG,CD43,40.51,160.0,0.282608696,0,nodrug,0.48805766353638824 -3340,TATGGCTTTAAAGTCAGTAAGACATGGTAT,NF1,57.31,1627.0,0.99048913,1,PLX_2uM,0.7174208535625753 -3341,ATGCGCTTTATGCGCTGCCGCTGGGGGTTT,MED12,61.55,1340.0,0.8560606059999999,1,AZD_200nM,0.5941723468368866 -3342,ATGCGCTTTATGCGCTGCCGCTGGGGGTTT,MED12,61.55,1340.0,0.772727273,0,PLX_2uM,0.5941723468368866 -3343,AGCGGCTTTCTGCCTCGGACAGTCTGGAAG,CD5,4.86,24.0,0.058577406,0,nodrug,0.4552980436384965 -3344,GTTAGCTTTGAAGTGGATCCTACCAGGTTT,NF1,46.64,1324.0,0.600543478,0,PLX_2uM,0.5800180880368965 -3345,ACATGGAAAAGAGCAAGCATCTGCAGGAGC,NF2,89.92,535.0,0.766816143,0,PLX_2uM,0.41970179401740204 -3346,TCGAGGAAAAGCAGGTACGAGGCCAGGGAG,CD15,88.49,469.0,0.201465201,0,nodrug,0.4018273150471651 -3347,TCCAGGAAACAGGGGCTGGTGGCATGGGTG,CD15,67.55,358.0,0.380952381,0,nodrug,0.39752483165296876 -3348,GGCAGGAAACGTGGCATGTCTCGGAGGCTG,NF1,40.01,1136.0,0.5625,0,PLX_2uM,0.694070225527545 -3349,GATGGGAAACTTGCTGAATACCCGTGGAAT,CD45,43.27,489.0,0.9205776170000001,1,nodrug,0.7062456482572685 -3350,GAAGGGAAAGGACCAAGGGCCAAGGGGTCA,CD5,18.02,89.0,0.9958159,1,nodrug,0.7263601165387259 -3351,GAGCGGAAAGGAGAAGTCGTAGACAGGTAA,CUL3,23.31,179.0,0.467532468,0,PLX_2uM,0.5464038672260856 -3352,CTCTGGAACAATCAGGAGAAAATTGGGCAG,NF1,53.47,1518.0,0.6888586959999999,0,PLX_2uM,0.5287342430433276 -3353,TCCCGGAACCAGTAACCATGAACTGGGGAG,CD33,15.38,56.0,0.922077922,1,nodrug,0.6141914434837213 -3354,ATCGGGAACCATGATCTATTTATGAGGAGA,NF2,51.76,308.0,0.9013452909999999,1,PLX_2uM,0.5799195727867151 -3355,TTCGGGAACCTGGTGACCATAGAGTGGTGG,CD13,41.57,402.0,0.6593406589999999,0,nodrug,0.7188962512474489 -3356,CAATGGAACTATTATTCACATAAAAGGTAA,CD28,62.39,136.0,0.310810811,0,nodrug,0.29304943679152484 -3357,GGATGGAAGAAAGTGCAGGGCACGAGGACG,CD33,10.71,39.0,0.91991342,1,nodrug,0.6157935670039484 -3358,CAACGGAAGAACCAATTGTAAAGGTGGTTG,CUL3,34.11,262.0,0.538961039,0,PLX_2uM,0.6714412579236324 -3359,AGATGGAAGAGTCGGCAGAGTACGAGGCAG,TADA2B,73.33,308.0,0.389473684,0,AZD_200nM,0.5849421166585026 -3360,CTTGGGAAGATACACATGCAAAATGGGAAC,NF1,27.58,783.0,0.133152174,0,PLX_2uM,0.425949998535005 -3361,GTGAGGAAGCAGATATCCGGTGTGGGGTGG,NF1,25.4,721.0,0.9388586959999999,1,PLX_2uM,0.7369223038840824 -3362,TGCGGGAAGCGATGGCCCCGGCCATGGCGC,NF2,0.34,2.0,0.210762332,0,PLX_2uM,0.4091253465710999 -3363,GTGCGGAAGCTGAAAGAGAGACAGCGGCGG,TADA2B,51.67,217.0,0.821052632,1,AZD_200nM,0.7307539895813056 -3364,GACAGGAAGCTGGAGAGCATCCTGAGGACT,CD13,50.16,485.0,0.24175824199999998,0,nodrug,0.6608120042737429 -3365,TCCGGGAAGGAGCCATTATATCCAGGGACT,CD33,18.68,68.0,0.33766233799999995,0,nodrug,0.6038183142887933 -3366,TATAGGAAGGGTCACCATGATGAATGGGAT,NF1,87.32,2479.0,0.388586957,0,PLX_2uM,0.44813406228735886 -3367,GGGAGGAAGGTGAAACTGACCTGTTGGCAG,MED12,59.21,1289.0,0.9978354979999999,1,AZD_200nM,0.6901873381419849 -3368,GGGAGGAAGGTGAAACTGACCTGTTGGCAG,MED12,59.21,1289.0,0.956709957,1,PLX_2uM,0.6901873381419849 -3369,TCTAGGAAGTCTGTGCTCAGTACTGGGGCG,CD45,79.73,901.0,0.357400722,0,nodrug,0.3975279120038181 -3370,TTCTGGAAGTGGGGTGCTGGGACCTGGGCA,CD13,26.27,254.0,0.264835165,0,nodrug,0.26313921342444846 -3371,GCTGGGAAGTTGCAAGTGAGGTCATGGAAT,NF1,98.03,2783.0,0.0013586960000000002,0,PLX_2uM,0.18632064548428814 -3372,GAGGGGAATAGCCATCTGCATAGGAGGTGT,CCDC101,91.81,269.0,0.7919463090000001,0,AZD_200nM,0.4872912150556896 -3373,AAATGGAATATCTGAAGATAGCTCAGGACC,NF2,35.46,211.0,0.9641255609999999,1,PLX_2uM,0.6187205979380019 -3374,GGTAGGAATCGGGTTTCAGCGTGTTGGGGA,CD13,8.17,79.0,0.32967033,0,nodrug,0.47190844457054537 -3375,CTATGGAATGGGCCCGGGTCGGAGCGGCCC,MED12,83.05,1808.0,0.286796537,0,AZD_200nM,0.5084987769863083 -3376,CTATGGAATGGGCCCGGGTCGGAGCGGCCC,MED12,83.05,1808.0,0.27597402600000004,0,PLX_2uM,0.5084987769863083 -3377,TCATGGAATTAGAAAGGTTAAGGTTGGCAG,NF1,97.78,2776.0,0.08967391300000001,0,PLX_2uM,0.20047660977783244 -3378,TGGTGGAATTCTACAATGGCAGCTGGGGTG,CD5,36.44,180.0,0.6903765690000001,0,nodrug,0.5327727536273753 -3379,CATTGGAATTGATGCCATGCTGGAAGGCCT,CD45,61.59,696.0,0.758122744,0,nodrug,0.6203983851248632 -3380,GGAAGGACAAGAAGGAGAAGGAAAAGGCGC,TADA2B,57.38,241.0,0.257894737,0,AZD_200nM,0.4876696875861136 -3381,GACTGGACAATGGCTTCACACTCCTGGTGC,NF1,63.97,1816.0,0.8722826090000001,1,PLX_2uM,0.5736806511218282 -3382,GGAAGGACACCAAGATGCGGATCCGGGCCT,CUL3,2.34,18.0,0.20129870100000002,0,PLX_2uM,0.492801430599294 -3383,ACTTGGACAGCAGTAGAACCAACCTGGAAA,NF1,61.89,1757.0,0.78125,0,PLX_2uM,0.6977182752778653 -3384,TGTTGGACAGGGCTGTCAGGTCCTTGGGGT,CD13,25.03,242.0,0.10769230800000001,0,nodrug,0.2732840427246522 -3385,AGGAGGACAGGGGGTCGAACAGCAGGGAGT,CD13,38.06,368.0,0.618681319,0,nodrug,0.6622177033456487 -3386,GGGAGGACATGGCCGCGCACAGGCCGGTGG,NF1,0.18,5.0,0.578804348,0,PLX_2uM,0.46597227608718855 -3387,GCCTGGACATGGGGCAACCTTCTCAGGCCA,NF1,89.12,2530.0,0.066576087,0,PLX_2uM,0.23892587380201447 -3388,CCAGGGACATGTGTTAAAGGCTGCTGGGGA,MED12,66.42,1446.0,0.241341991,0,AZD_200nM,0.5047977230693391 -3389,CCAGGGACATGTGTTAAAGGCTGCTGGGGA,MED12,66.42,1446.0,0.21103896100000002,0,PLX_2uM,0.5047977230693391 -3390,CATGGGACATTCGCCTCTTAACAATGGTCT,NF1,28.64,813.0,0.9673913040000001,1,PLX_2uM,0.6530999103739042 -3391,ACCTGGACCCAGCATGCCCCAAAGAGGAGG,CD43,2.28,9.0,0.891304348,1,nodrug,0.7081216409267278 -3392,AGCAGGACCTGCAGGAAGCACGCGAGGCGG,NF2,77.65,462.0,0.659192825,0,PLX_2uM,0.5282081045329319 -3393,GAACGGACGCCTGCCTGGACGCCCTGGGCA,MED12,93.57,2037.0,0.016233766,0,AZD_200nM,0.16255836498803547 -3394,GAACGGACGCCTGCCTGGACGCCCTGGGCA,MED12,93.57,2037.0,0.006493506,0,PLX_2uM,0.16255836498803547 -3395,AGGCGGACGGGGTGGTGGAGGCCACGGGGG,CD13,4.86,47.0,0.124175824,0,nodrug,0.3787403873191388 -3396,CACAGGACGGTATGGGTCCACACGAGGGCC,MED12,85.21,1855.0,0.40151515200000004,0,AZD_200nM,0.5768543802200938 -3397,CACAGGACGGTATGGGTCCACACGAGGGCC,MED12,85.21,1855.0,0.37229437200000004,0,PLX_2uM,0.5768543802200938 -3398,CCGAGGACGTATTCAAGCAGGGCCTGGCGG,CD13,51.6,499.0,0.510989011,0,nodrug,0.5053193242153651 -3399,TGTTGGACTACGAGGAGGCAGCGGCGGCGG,CD15,51.7,274.0,0.472527473,0,nodrug,0.6273060662493524 -3400,CCATGGACTCCCACGAAGTGCTGCTGGCTG,CD5,1.42,7.0,0.606694561,0,nodrug,0.4856526023866878 -3401,GGATGGACTGCCCTTCCCCTCACAGGGCAT,MED12,31.88,694.0,0.49350649399999996,0,AZD_200nM,0.5391612002143188 -3402,GGATGGACTGCCCTTCCCCTCACAGGGCAT,MED12,31.88,694.0,0.44155844200000005,0,PLX_2uM,0.5391612002143188 -3403,TCGGGGACTGGTCTGGCCGACAGTTGGATA,NF1,88.45,2511.0,0.21059782600000002,0,PLX_2uM,0.40158305503790614 -3404,CTCAGGAGACTACGTGGCCAGACCTGGAGA,CCDC101,53.58,157.0,0.697986577,0,AZD_200nM,0.5372343016119374 -3405,ATACGGAGACTATCTAAAGTATGCAGGTTT,NF1,82.53,2343.0,0.763586957,0,PLX_2uM,0.5004331831671879 -3406,AGCTGGAGAGCATCCTGAGGACTGAGGCGC,CD13,49.95,483.0,0.108791209,0,nodrug,0.6903283265929274 -3407,AGCAGGAGAGCGACGCTGATGGCTGGGTTC,THY1,2.47,4.0,0.532258065,0,nodrug,0.5237752843836662 -3408,AAAGGGAGAGGGAGGCCGGGGACCAGGGGC,MED12,28.98,631.0,0.153679654,0,AZD_200nM,0.2946165604024456 -3409,AAAGGGAGAGGGAGGCCGGGGACCAGGGGC,MED12,28.98,631.0,0.17857142899999998,0,PLX_2uM,0.2946165604024456 -3410,GGAGGGAGATCCCAGAAAACCTGATGGACC,CD13,77.25,747.0,0.17362637399999997,0,nodrug,0.5372413190706321 -3411,TGCGGGAGATCGAGCAGCAGATCAAGGAGC,MED12,19.66,428.0,0.371212121,0,AZD_200nM,0.5426024825844632 -3412,TGCGGGAGATCGAGCAGCAGATCAAGGAGC,MED12,19.66,428.0,0.40800865799999997,0,PLX_2uM,0.5426024825844632 -3413,GCCAGGAGCACAGAAGCCTCAGGAGGGCAG,NF2,22.69,135.0,0.9461883409999999,1,PLX_2uM,0.7206501790331005 -3414,TGGTGGAGCCCACCGAGTACCTGGTGGTGC,CD13,16.75,162.0,0.984615385,1,nodrug,0.7571440640807487 -3415,TGGGGGAGCGCCAGTCAGACAGTCTGGAAA,MED12,74.92,1631.0,0.36255411299999996,0,AZD_200nM,0.46608949594195914 -3416,TGGGGGAGCGCCAGTCAGACAGTCTGGAAA,MED12,74.92,1631.0,0.312770563,0,PLX_2uM,0.46608949594195914 -3417,GCCAGGAGGAAATCATTGTGAGAATGGACT,TADA1,17.31,58.0,0.220183486,0,AZD_200nM,0.5205599824770835 -3418,TCAAGGAGGAAGTGCTCCTGGGAAAGGGTC,CD13,58.12,562.0,0.42967033,0,nodrug,0.513241746068675 -3419,CCAGGGAGGAGAAGGCTAGAAAGCAGGTGA,NF2,55.8,332.0,0.46636771299999996,0,PLX_2uM,0.6063467175630274 -3420,GCACGGAGGAGGAGAAGCGCCTGATGGAGC,NF2,71.43,425.0,0.3632287,0,PLX_2uM,0.5633193649948027 -3421,TGAGGGAGGAGGCTGAACGCACGAGGGATG,NF2,59.16,352.0,0.9596412559999999,1,PLX_2uM,0.7319735455942727 -3422,CCCAGGAGGATCCCCAGGATGCCCAGGGAC,CD13,1.24,12.0,0.454945055,0,nodrug,0.4429733185755191 -3423,TGAAGGAGGATGCGGCAGGTAAGCCGGGCC,MED12,53.79,1171.0,0.901515152,1,AZD_200nM,0.4859352147476663 -3424,TGAAGGAGGATGCGGCAGGTAAGCCGGGCC,MED12,53.79,1171.0,0.864718615,1,PLX_2uM,0.4859352147476663 -3425,GTCAGGAGGCAACGGTGCTGGAATTGGGTT,NF2,82.02,488.0,0.26008968600000004,0,PLX_2uM,0.32883785780196073 -3426,GTCCGGAGGCACTGTCACACCATAAGGGCC,MED12,83.28,1813.0,0.40043290000000004,0,AZD_200nM,0.4342538579625735 -3427,GTCCGGAGGCACTGTCACACCATAAGGGCC,MED12,83.28,1813.0,0.344155844,0,PLX_2uM,0.4342538579625735 -3428,TGGTGGAGGCCACGGGGGAGCTGTTGGCGT,CD13,4.45,43.0,0.46593406600000004,0,nodrug,0.49341061456754876 -3429,CGGGGGAGGCGCTCACCTCTGTCTTGGTAG,MED12,82.64,1799.0,0.8495671,1,AZD_200nM,0.4473323505881338 -3430,CGGGGGAGGCGCTCACCTCTGTCTTGGTAG,MED12,82.64,1799.0,0.7705627709999999,0,PLX_2uM,0.4473323505881338 -3431,CCCTGGAGGCTGCTTTACCCGCTGTGGGGG,CCDC101,87.03,255.0,0.711409396,0,AZD_200nM,0.4481766423487496 -3432,GAGTGGAGGTCAGTCCATGTCCATAGGTGG,MED12,92.19,2007.0,0.390692641,0,AZD_200nM,0.33775109629982564 -3433,GAGTGGAGGTCAGTCCATGTCCATAGGTGG,MED12,92.19,2007.0,0.40692640700000005,0,PLX_2uM,0.33775109629982564 -3434,AGAAGGAGGTGAAGCCCCCACCCAAGGAGA,MED12,32.8,714.0,0.100649351,0,AZD_200nM,0.49413383203164307 -3435,AGAAGGAGGTGAAGCCCCCACCCAAGGAGA,MED12,32.8,714.0,0.08982684,0,PLX_2uM,0.49413383203164307 -3436,CCGAGGAGGTGGATCTGCGCGTGTTGGACT,CD15,50.38,267.0,0.322344322,0,nodrug,0.5812071978951489 -3437,GGCTGGAGTAGCTGGGGGGCACCATGGTAC,MED12,90.22,1964.0,0.137445887,0,AZD_200nM,0.25096229554595306 -3438,GGCTGGAGTAGCTGGGGGGCACCATGGTAC,MED12,90.22,1964.0,0.148268398,0,PLX_2uM,0.25096229554595306 -3439,CTTGGGAGTCAAAAAACTTGCTGATGGTAT,NF1,33.18,942.0,0.139945652,0,PLX_2uM,0.5814690482764298 -3440,TGCAGGAGTCAGTGACGGTACAGGAGGGTT,CD33,8.79,32.0,0.904761905,1,nodrug,0.644676095213347 -3441,CATTGGAGTCATGGTACTTATCATGGGTGT,MED12,93.11,2027.0,0.182900433,0,AZD_200nM,0.3469740000870654 -3442,CATTGGAGTCATGGTACTTATCATGGGTGT,MED12,93.11,2027.0,0.128787879,0,PLX_2uM,0.3469740000870654 -3443,CTCTGGAGTGGCACTGCAAGCAAATGGATC,NF1,83.59,2373.0,0.270380435,0,PLX_2uM,0.402125156013036 -3444,CCACGGAGTGGGCCATGCTCCTCCTGGAGA,MED12,71.7,1561.0,0.553030303,0,AZD_200nM,0.4702958832422148 -3445,CCACGGAGTGGGCCATGCTCCTCCTGGAGA,MED12,71.7,1561.0,0.588744589,0,PLX_2uM,0.4702958832422148 -3446,AGCAGGAGTGGTTCATGGGGCCATTGGAGG,CD33,71.7,261.0,0.5995670999999999,0,nodrug,0.47984274024380413 -3447,GTTAGGAGTTACTCACCCATGAAAGGGTCA,MED12,8.41,183.0,0.917748918,1,AZD_200nM,0.6049965104833052 -3448,GTTAGGAGTTACTCACCCATGAAAGGGTCA,MED12,8.41,183.0,0.884199134,1,PLX_2uM,0.6049965104833052 -3449,AGGGGGAGTTGGCAGATGACCTGGCGGGCT,CD13,19.65,190.0,0.5043956039999999,0,nodrug,0.6700654793305891 -3450,CACCGGATATCTGCTTCCTCACAGAGGTGG,NF1,25.15,714.0,0.449728261,0,PLX_2uM,0.7449289406361579 -3451,GGCAGGATCATCAAAGGGAGAGGGAGGCCG,MED12,29.17,635.0,0.707792208,0,AZD_200nM,0.6543505338712817 -3452,GGCAGGATCATCAAAGGGAGAGGGAGGCCG,MED12,29.17,635.0,0.8160173159999999,1,PLX_2uM,0.6543505338712817 -3453,AGCTGGATCCCCACAACTAGGCTTAGGCGT,CD45,19.38,219.0,0.916967509,1,nodrug,0.599272962795194 -3454,CTATGGATCCTCCTCCACTCACATGGGACA,NF1,28.88,820.0,0.373641304,0,PLX_2uM,0.661253205010049 -3455,TTATGGATCGGCTGTTGTCCTTAATGGTGT,NF1,31.74,901.0,0.288043478,0,PLX_2uM,0.23393971662739718 -3456,AGATGGATCTGAAGTTGGTGTTGGAGGTGC,CUL3,75.13,577.0,0.480519481,0,PLX_2uM,0.4834177956685291 -3457,TTCGGGATCTTGAGCTACGAACACCGGCCC,MED12,0.51,11.0,0.741341991,0,AZD_200nM,0.6474710808806813 -3458,TTCGGGATCTTGAGCTACGAACACCGGCCC,MED12,0.51,11.0,0.773809524,0,PLX_2uM,0.6474710808806813 -3459,TGCTGGATCTTTGCCTTGGCCAGGGGGTTC,TADA1,25.67,86.0,0.633027523,0,AZD_200nM,0.5682426607367984 -3460,CTCAGGATGAACTAGCTCGAGTTCTGGTTA,NF1,43.75,1242.0,0.705163043,0,PLX_2uM,0.502500859360176 -3461,AGCGGGATGACACGGCGCCGGCTCAGGGTG,CCDC101,70.31,206.0,0.812080537,1,AZD_200nM,0.35722413657354024 -3462,GTAGGGATGACTTCCCTGTGCACCTGGGAT,TADA1,85.37,286.0,0.27522935800000004,0,AZD_200nM,0.3307483557158385 -3463,CAAAGGATGCATTAATGTATTTGCTGGTTT,CD45,74.51,842.0,0.216606498,0,nodrug,0.4035507578155837 -3464,TTAAGGATGGGGCCCGTCACGTTCAGGGCA,CD13,32.99,319.0,0.187912088,0,nodrug,0.3008953735538987 -3465,TCCAGGATGTCCTCCTGCAGTTTCTGGATA,MED12,26.32,573.0,0.018398268,0,AZD_200nM,0.16029481018101147 -3466,TCCAGGATGTCCTCCTGCAGTTTCTGGATA,MED12,26.32,573.0,0.036796537000000004,0,PLX_2uM,0.16029481018101147 -3467,GGTAGGATGTGATATTCCTTCTAGTGGAAA,NF1,22.4,636.0,0.213315217,0,PLX_2uM,0.5430230172426559 -3468,GAGGGGATTCCTTGCCGCTTCTGGAGGTGG,TADA2B,90.95,382.0,0.7894736840000001,0,AZD_200nM,0.46176478216757505 -3469,TGCCGGATTGCCACCTCTACATCATGGGGC,MED12,10.34,225.0,0.42748917700000005,0,AZD_200nM,0.5161881195115102 -3470,TGCCGGATTGCCACCTCTACATCATGGGGC,MED12,10.34,225.0,0.45021645,0,PLX_2uM,0.5161881195115102 -3471,CACAGGATTGGCTGCAGTGACAGGAGGGTC,CD43,31.9,126.0,0.572463768,0,nodrug,0.5730552487081011 -3472,CTTTGGATTGGGACCTAGCAAGGATGGGCA,MED12,22.55,491.0,0.693722944,0,AZD_200nM,0.5624456253963684 -3473,CTTTGGATTGGGACCTAGCAAGGATGGGCA,MED12,22.55,491.0,0.74025974,0,PLX_2uM,0.5624456253963684 -3474,ACTGGGATTGTGGTCTGCCCCCAGGGGCTG,CD43,16.46,65.0,0.37681159399999997,0,nodrug,0.6648376956045854 -3475,TCATGGATTTCCTGGCTCGGGGACTGGTCT,NF1,88.62,2516.0,0.198369565,0,PLX_2uM,0.32443948405613665 -3476,AGGAGGCAAAACTTCTGGCCCAGAAGGCCG,NF2,67.23,400.0,0.192825112,0,PLX_2uM,0.5416282960302796 -3477,AGATGGCAACACTTCTTGCATACCTGGGTC,NF1,54.42,1545.0,0.13179347800000002,0,PLX_2uM,0.4001344841818294 -3478,GCCTGGCAACCTATAGCCCACCCATGGGTC,NF1,30.5,866.0,0.20516304300000002,0,PLX_2uM,0.5137077698997641 -3479,CAGTGGCACACACTTCGAAGTTGAGGGGGG,NF1,47.9,1360.0,0.7459239129999999,0,PLX_2uM,0.5357811015725259 -3480,CCTGGGCACAGAGGAACCCGGGGGAGGTTT,CD5,68.22,337.0,0.309623431,0,nodrug,0.5117865776076884 -3481,TCCTGGCACCAGCTGCAATCTGGGAGGAGC,CD5,31.98,158.0,0.89539749,1,nodrug,0.658192996823508 -3482,TGGGGGCACCGTGGGGCTCGCCGACGGCGG,CD15,25.09,133.0,0.34798534799999997,0,nodrug,0.4409661223735492 -3483,TCCAGGCACTACTCACATTGTTAGGGGTCT,MED12,63.02,1372.0,0.787878788,0,AZD_200nM,0.6408923704481929 -3484,TCCAGGCACTACTCACATTGTTAGGGGTCT,MED12,63.02,1372.0,0.861471861,1,PLX_2uM,0.6408923704481929 -3485,TGAAGGCACTGTTACCCTCTGGCATGGGCA,MED12,18.7,407.0,0.727272727,0,AZD_200nM,0.5608507850772559 -3486,TGAAGGCACTGTTACCCTCTGGCATGGGCA,MED12,18.7,407.0,0.597402597,0,PLX_2uM,0.5608507850772559 -3487,GATGGGCAGAAGCGGCGACGCAACCGGCCT,MED12,37.57,818.0,0.310606061,0,AZD_200nM,0.41977824675197856 -3488,GATGGGCAGAAGCGGCGACGCAACCGGCCT,MED12,37.57,818.0,0.30952381,0,PLX_2uM,0.41977824675197856 -3489,ATGAGGCAGAGACAAAGAGCGAGCAGGGCT,CD33,74.45,271.0,0.519480519,0,nodrug,0.4740941443460549 -3490,TGATGGCAGATACTGCTGTAGCTTTGGCTT,NF1,71.75,2037.0,0.289402174,0,PLX_2uM,0.3107757207458025 -3491,CCTAGGCAGATCAGGCTCAGCGGAAGGCAC,CD5,25.71,127.0,0.9874476990000001,1,nodrug,0.6211686773329167 -3492,TGTGGGCAGCACTCCAGGGTAAGTTGGTCG,MED12,86.08,1874.0,0.569264069,0,AZD_200nM,0.5138378573978788 -3493,TGTGGGCAGCACTCCAGGGTAAGTTGGTCG,MED12,86.08,1874.0,0.7359307359999999,0,PLX_2uM,0.5138378573978788 -3494,ATGTGGCAGCCAGCAGCACTTCGTGGGAGT,CD5,1.01,5.0,0.7071129709999999,0,nodrug,0.582724522329982 -3495,CCGGGGCAGCCGGTGCCCGAAATTGGGCTC,CD15,75.09,398.0,0.12087912099999999,0,nodrug,0.3169597752951317 -3496,CGGGGGCAGCGGGGTGGTGAGGCTGGGTGA,TADA2B,35.0,147.0,0.9789473679999999,1,AZD_200nM,0.47176568048150574 -3497,TGGGGGCAGCTGCCGCCGCTGCCCTGGGCG,CD15,33.77,179.0,0.04029304,0,nodrug,0.21023096561775495 -3498,CATCGGCAGGATCATCAAAGGGAGAGGGAG,MED12,29.21,636.0,0.7132034629999999,0,AZD_200nM,0.5245761645529201 -3499,CATCGGCAGGATCATCAAAGGGAGAGGGAG,MED12,29.21,636.0,0.7857142859999999,0,PLX_2uM,0.5245761645529201 -3500,ATGAGGCAGGCATGATAGTGCCGCAGGACA,MED12,42.77,931.0,0.916666667,1,AZD_200nM,0.6392455857975816 -3501,ATGAGGCAGGCATGATAGTGCCGCAGGACA,MED12,42.77,931.0,0.917748918,1,PLX_2uM,0.6392455857975816 -3502,CTGAGGCAGGGATGGCCCCACAGAGGGGTG,CCDC101,49.49,145.0,0.261744966,0,AZD_200nM,0.46940547047717635 -3503,CGCAGGCAGGGCCCACTCACCTTTGGGAAG,CD13,26.16,253.0,0.22967033,0,nodrug,0.4005671266459086 -3504,CATGGGCAGGTTGGACGGGGCAATAGGCAA,MED12,18.37,400.0,0.835497835,1,AZD_200nM,0.46266063303025895 -3505,CATGGGCAGGTTGGACGGGGCAATAGGCAA,MED12,18.37,400.0,0.8409090909999999,1,PLX_2uM,0.46266063303025895 -3506,GAGAGGCAGTAGGCTCAGGTACAGGGGTGC,CD43,24.56,97.0,0.5507246379999999,0,nodrug,0.6489169519016018 -3507,ATTGGGCAGTATCTTTCCAGCAACAGGTAA,NF1,53.72,1525.0,0.402173913,0,PLX_2uM,0.4081894562058544 -3508,AGCCGGCAGTCAGGGGGCGGCCTCGGGGCG,CD15,38.87,206.0,0.131868132,0,nodrug,0.1463941617463275 -3509,TGGCGGCAGTCCAGGCGAAGGTTTTGGTTC,THY1,20.37,33.0,0.177419355,0,nodrug,0.2872010296780419 -3510,AGGTGGCAGTGGTGGTCGGAGGCAGGGTGG,MED12,57.97,1262.0,0.484848485,0,AZD_200nM,0.5332193222265236 -3511,AGGTGGCAGTGGTGGTCGGAGGCAGGGTGG,MED12,57.97,1262.0,0.5281385279999999,0,PLX_2uM,0.5332193222265236 -3512,GGCTGGCATCACTGAGGCACTGTACGGTCC,NF1,40.3,1144.0,0.7146739129999999,0,PLX_2uM,0.6074832628571318 -3513,CCTGGGCATCCTGGGGATCCTCCTGGGCGT,CD13,1.76,17.0,0.263736264,0,nodrug,0.4580494952617702 -3514,TGGTGGCATGGGTGGTGAGCCACTGGGACG,CD15,68.49,363.0,0.981684982,1,nodrug,0.5954574642301715 -3515,AGGCGGCCAAGAAGAACTTAAGCGAGGCCC,TADA1,4.78,16.0,1.0,1,AZD_200nM,0.7090570002565819 -3516,TCCAGGCCAAGACCCAAACCCAGCGGGCCT,CD5,75.1,371.0,0.531380753,0,nodrug,0.5193278210322442 -3517,TCAAGGCCACAGCGATTCGCACGGAGGAGG,NF2,70.42,419.0,0.591928251,0,PLX_2uM,0.712142095082039 -3518,GATCGGCCACCACCGCCGCTACCACGGCTA,TADA2B,11.43,48.0,0.352631579,0,AZD_200nM,0.633569880880173 -3519,ACAGGGCCACTTCTAGTTTGGTCTGGGCTT,NF1,24.13,685.0,0.67798913,0,PLX_2uM,0.4403701365174971 -3520,GCCAGGCCAGAATTGCTTCTCTGCTGGAGG,NF1,30.08,854.0,0.6290760870000001,0,PLX_2uM,0.3783647378672778 -3521,ACGTGGCCAGACCTGGAGACAAGGTGGCTG,CCDC101,54.95,161.0,0.691275168,0,AZD_200nM,0.7031256045411498 -3522,TACCGGCCAGGGCCTGCAGGAAGTGGGGGC,MED12,9.74,212.0,0.695887446,0,AZD_200nM,0.518425866042383 -3523,TACCGGCCAGGGCCTGCAGGAAGTGGGGGC,MED12,9.74,212.0,0.680735931,0,PLX_2uM,0.518425866042383 -3524,CGAGGGCCAGTTACTAGAGACATCAGGTTT,NF1,66.75,1895.0,0.539402174,0,PLX_2uM,0.5006539137551903 -3525,TCTAGGCCATCCCTGTCATCAATCGGGCAC,CD13,67.94,657.0,0.110989011,0,nodrug,0.5198491117466901 -3526,GCATGGCCCACTCCGTGGTCTGCTGGGTGC,MED12,71.34,1553.0,0.41341991299999997,0,AZD_200nM,0.4421936477536754 -3527,GCATGGCCCACTCCGTGGTCTGCTGGGTGC,MED12,71.34,1553.0,0.566017316,0,PLX_2uM,0.4421936477536754 -3528,AAAAGGCCCAGATCACCGAGGAGGAGGCAA,NF2,66.05,393.0,0.313901345,0,PLX_2uM,0.477488507159911 -3529,TACAGGCCCCTGTCATTGGGGGTGAGGTAC,CD13,9.72,94.0,0.065934066,0,nodrug,0.5326915838382444 -3530,TGGGGGCCCGAGGCCGAGGGCGGCTGGACC,TADA2B,16.43,69.0,0.589473684,0,AZD_200nM,0.306902597062207 -3531,CAGTGGCCCGCTACAAGTTCTACCTGGCTT,CD15,77.36,410.0,0.465201465,0,nodrug,0.5133175711118397 -3532,GCCAGGCCCGCTGGGTTTGGGTCTTGGCCT,CD5,74.49,368.0,0.037656904,0,nodrug,0.2699001703873929 -3533,TCTGGGCCCGGCCCAGTGCCATTGCGGCGG,CD13,31.95,309.0,0.523076923,0,nodrug,0.5604723314143734 -3534,TCCCGGCCCGGTACTCACCCGCGCGGGTCT,H2-K,5.69,21.0,0.727810651,0,nodrug,0.5818542335860996 -3535,TTTTGGCCGAATCTTGGTGTGTTGGGGGAT,NF1,64.88,1842.0,0.7228260870000001,0,PLX_2uM,0.5031673489985389 -3536,TGGTGGCCGAGGCGGGGTTGGTGGTGGCTG,CD13,5.89,57.0,0.307692308,0,nodrug,0.3598667501277996 -3537,TGGCGGCCGCCGGCTTGACGTGTACGGCGC,CD15,30.75,163.0,0.289377289,0,nodrug,0.5029011939220104 -3538,TCTGGGCCGGCGTGTTGATCTCCGAGGCGG,CD13,47.67,461.0,0.8120879120000001,1,nodrug,0.6837566227019026 -3539,GAGTGGCCGGGTTCTAGAGTGCCAGGGATG,CD33,41.48,151.0,0.896103896,1,nodrug,0.657724211142406 -3540,AATGGGCCTCACCTGGCTCGGCCTCGGTGC,NF2,33.11,197.0,0.049327354000000004,0,PLX_2uM,0.40198311107330725 -3541,TCGGGGCCTCCCATCGAATTGGCAAGGGCC,CD5,47.37,234.0,0.112970711,0,nodrug,0.4957880627585608 -3542,AGGGGGCCTCCGCTGGGACAGGTGTGGTCT,TADA2B,32.38,136.0,0.6947368420000001,0,AZD_200nM,0.5874613276551103 -3543,CCAGGGCCTCGCTTAAGTTCTTCTTGGCCG,TADA1,3.88,13.0,0.311926606,0,AZD_200nM,0.26420768154481994 -3544,GCCAGGCCTGAGGGCGGGTCGCCGGGGTGG,CD15,64.15,340.0,0.15018315,0,nodrug,0.38366072453654626 -3545,GATTGGCCTGCCAGACTTCAACGCCGGCGC,CD13,36.19,350.0,0.808791209,1,nodrug,0.6297912242576791 -3546,TCGAGGCCTTGAAACTGAAAGAGAGGGAGA,NF2,92.94,553.0,0.13004484300000002,0,PLX_2uM,0.44978178011618647 -3547,TTCTGGCCTTTGGATTTGCCCTTCTGGACA,CD45,1.42,16.0,0.14801444,0,nodrug,0.13020913634679848 -3548,CTGGGGCGAAGGAAAGCAGACTTATGGAGA,CD45,80.35,908.0,0.6678700360000001,0,nodrug,0.38162273746041503 -3549,CAATGGCGACCTTTGTGAGCGAGCTGGAGG,TADA1,2.09,7.0,0.899082569,1,AZD_200nM,0.5422403994938212 -3550,GGTTGGCGACGCCCAGGGCAGCGGCGGCAG,CD15,33.58,178.0,0.307692308,0,nodrug,0.45718581904438366 -3551,TAGCGGCGATAGACCGCGGGGTTGCGGTCG,CD15,90.19,478.0,0.608058608,0,nodrug,0.3535642500156261 -3552,CCTGGGCGATAGCGTTGCAGTAGACGGTGG,CD13,82.42,797.0,0.026373626,0,nodrug,0.4361117606263203 -3553,CTCTGGCGCAACGCGTTGCTCGCTGGGGCG,CD15,81.7,433.0,0.091575092,0,nodrug,0.3013217420062517 -3554,TCCAGGCGCACACTGCCGAGGAGGTGGATC,CD15,49.43,262.0,0.23809523800000001,0,nodrug,0.4849979327535522 -3555,TTGTGGCGCCAGAGGCAAAAGCGGAGGACT,CD43,70.13,277.0,0.362318841,0,nodrug,0.6080522267709836 -3556,TCTCGGCGCCGGCCGAGAAGCACTCGGGGC,TADA2B,8.33,35.0,0.447368421,0,AZD_200nM,0.50585379759158 -3557,GGGCGGCGCGGGTGGCGCCGAGGCCGGGGG,CD15,27.55,146.0,0.135531136,0,nodrug,0.19715818711225538 -3558,TCGGGGCGCTATCGCGCCCCCCGAAGGGCT,CD15,37.55,199.0,0.036630037000000004,0,nodrug,0.4093352638758935 -3559,AGCCGGCGGCCGCCAGCACACAGACGGTCC,CD15,29.06,154.0,0.571428571,0,nodrug,0.5290012287139252 -3560,AGCAGGCGGCTCCTCATCTTCTGGGGGCAG,MED12,80.25,1747.0,0.38961039,0,AZD_200nM,0.5180900434911696 -3561,AGCAGGCGGCTCCTCATCTTCTGGGGGCAG,MED12,80.25,1747.0,0.481601732,0,PLX_2uM,0.5180900434911696 -3562,ACCAGGCGGCTCTGAACCTTGGGCTGGAAA,CD5,55.06,272.0,0.288702929,0,nodrug,0.5263856954239109 -3563,GGACGGCGGGCGCTTCACGCTCTGGGGGCC,TADA2B,14.52,61.0,0.8,0,AZD_200nM,0.5263315116496984 -3564,CAGTGGCGGGGCCAGGCCTGAGGGCGGGTC,CD15,64.91,344.0,0.413919414,0,nodrug,0.4742305297737644 -3565,CCGAGGCGGGGTTGGTGGTGGCTGAGGCGG,CD13,5.69,55.0,0.158241758,0,nodrug,0.3660066438854377 -3566,GAGGGGCGGGTAACATTGGAATCGGGGTCA,CD13,59.05,571.0,0.503296703,0,nodrug,0.5758059215292496 -3567,CCGAGGCGGGTGTGGACAGCGGGTGGGAGG,CD13,46.95,454.0,0.8890109890000001,1,nodrug,0.6067534386756095 -3568,GGCCGGCGTGTTGATCTCCGAGGCGGGTGT,CD13,47.57,460.0,0.768131868,0,nodrug,0.5378771962978204 -3569,TGTTGGCGTTCTTGTTCTTCTCCTGGGAGT,CD13,3.72,36.0,0.30109890100000003,0,nodrug,0.46027261775735445 -3570,AAAAGGCTAATACTTCAATTTGTTTGGAGT,CD45,11.77,133.0,0.12274368199999999,0,nodrug,0.3347548007947192 -3571,CCACGGCTACCAGCTGGTGGACGGCGGGCG,TADA2B,13.1,55.0,0.6421052629999999,0,AZD_200nM,0.6226742253369896 -3572,GCTCGGCTACTACAACCAGAGCAAGGGCGG,H2-K,29.54,109.0,0.213017751,0,nodrug,0.5872856756964949 -3573,TTTTGGCTAGTTGCGTGAGTGGCTTGGTGC,MED12,5.74,125.0,0.7207792209999999,0,AZD_200nM,0.5032673199766512 -3574,TTTTGGCTAGTTGCGTGAGTGGCTTGGTGC,MED12,5.74,125.0,0.7521645020000001,0,PLX_2uM,0.5032673199766512 -3575,TGTTGGCTCAGTTGGTGGTAGTAGCGGACC,CD15,70.38,373.0,0.43223443200000006,0,nodrug,0.5922346078961847 -3576,TCCAGGCTCATGGATTTCCTGGCTCGGGGA,NF1,88.69,2518.0,0.375,0,PLX_2uM,0.33173887291669335 -3577,AAGTGGCTCCAATTCCAAGTGTCAGGGTCA,CD5,8.7,43.0,0.953974895,1,nodrug,0.6201711126164601 -3578,CAGTGGCTCCAGGTAATAGGCGCGGGGCCG,MED12,79.74,1736.0,0.510822511,0,AZD_200nM,0.545916262145533 -3579,CAGTGGCTCCAGGTAATAGGCGCGGGGCCG,MED12,79.74,1736.0,0.443722944,0,PLX_2uM,0.545916262145533 -3580,ACAGGGCTCCCTTATCGATACCAAGGGCAA,MED12,76.25,1660.0,0.6461038960000001,0,AZD_200nM,0.6172890724483937 -3581,ACAGGGCTCCCTTATCGATACCAAGGGCAA,MED12,76.25,1660.0,0.58982684,0,PLX_2uM,0.6172890724483937 -3582,CCCTGGCTCCGACTCAGACCCGCGCGGGTG,H2-K,5.42,20.0,0.9822485209999999,1,nodrug,0.6598162327549879 -3583,TGTGGGCTCCGGCACGGTGGTGGGTGGGGT,CD5,29.96,148.0,0.527196653,0,nodrug,0.339416855069158 -3584,CAAAGGCTCCTAAAAGGCAAGAAATGGAAT,NF1,90.1,2558.0,0.042119565,0,PLX_2uM,0.2611202890417266 -3585,GTGGGGCTCGCCGACGGCGGCGGCGGGCGG,CD15,25.66,136.0,0.183150183,0,nodrug,0.3300087665848176 -3586,CTCAGGCTCTAGCAGGGTAGGAGCAGGCGG,MED12,80.57,1754.0,0.425324675,0,AZD_200nM,0.43486314672287174 -3587,CTCAGGCTCTAGCAGGGTAGGAGCAGGCGG,MED12,80.57,1754.0,0.354978355,0,PLX_2uM,0.43486314672287174 -3588,GGGAGGCTGACCCTGTGGTAGGGTGGGTGT,CD33,82.69,301.0,0.17099567100000002,0,nodrug,0.44045442592523215 -3589,TGCAGGCTGACTGCCTCTTGAGAATGGCTT,NF1,12.86,365.0,0.440217391,0,PLX_2uM,0.49886263233402334 -3590,TGGTGGCTGAGGCGGACGGGGTGGTGGAGG,CD13,5.17,50.0,0.20989011,0,nodrug,0.30201772256666 -3591,TATTGGCTGATCGGTTTGAGAGATTGGTGG,NF1,42.51,1207.0,0.012228261,0,PLX_2uM,0.40757878377904194 -3592,CCCTGGCTGCAGAACTGTCACACAGGGCCT,CD5,60.93,301.0,0.7196652720000001,0,nodrug,0.648041889539776 -3593,AGGTGGCTGCCCGGGTGAAGGCCGTGGATG,CCDC101,57.34,168.0,0.46308724799999995,0,AZD_200nM,0.4918728120985666 -3594,GGCTGGCTGCTACTGACCTCCTGCAGGTGG,CD13,53.98,522.0,0.44065934100000004,0,nodrug,0.5105362016793968 -3595,CGGGGGCTGCTCCACCCAGTACTGAGGAAC,MED12,81.72,1779.0,0.564935065,0,AZD_200nM,0.5799922364936302 -3596,CGGGGGCTGCTCCACCCAGTACTGAGGAAC,MED12,81.72,1779.0,0.462121212,0,PLX_2uM,0.5799922364936302 -3597,TGGAGGCTGCTTTACCCGCTGTGGGGGCGC,CCDC101,86.69,254.0,1.0,1,AZD_200nM,0.5231680484254775 -3598,GTAAGGCTGGCTGGAGTAGCTGGGGGGCAC,MED12,90.35,1967.0,0.17857142899999998,0,AZD_200nM,0.33367701911834763 -3599,GTAAGGCTGGCTGGAGTAGCTGGGGGGCAC,MED12,90.35,1967.0,0.161255411,0,PLX_2uM,0.33367701911834763 -3600,GTCAGGCTGGTCACCTTCTGCCCTCGGGAC,THY1,11.73,19.0,0.064516129,0,nodrug,0.41133907111414025 -3601,CTCTGGCTGTGAAGTGGGGTCCGACGGGCG,H2-K,34.15,126.0,0.343195266,0,nodrug,0.40610564521508435 -3602,CTGTGGCTGTGCTGCAGCTTGATGAGGTCA,NF1,81.93,2326.0,0.418478261,0,PLX_2uM,0.46844158211139036 -3603,GTCTGGCTTATATCCAACACTTCGTGGGGT,HPRT1,78.44,171.0,0.15625,0,6TG_2ug/mL,0.3929611418148068 -3604,TTGGGGCTTCCTGCGACCAGTGTCAGGAAG,MED12,4.09,89.0,0.403679654,0,AZD_200nM,0.4492008950378371 -3605,TTGGGGCTTCCTGCGACCAGTGTCAGGAAG,MED12,4.09,89.0,0.38961039,0,PLX_2uM,0.4492008950378371 -3606,GACTGGCTTCCTTTGTGCCCTTGGGGGAGT,NF1,29.83,847.0,0.451086957,0,PLX_2uM,0.42578802833414464 -3607,CTTTGGCTTCTGGAAATGTGAAATTGGTTT,NF1,72.0,2044.0,0.12364130400000001,0,PLX_2uM,0.23026518910763727 -3608,CGCCGGCTTGCCTACTTCTGTACACGGAGA,MED12,13.87,302.0,0.911255411,1,AZD_200nM,0.6703322307222684 -3609,CGCCGGCTTGCCTACTTCTGTACACGGAGA,MED12,13.87,302.0,0.9339826840000001,1,PLX_2uM,0.6703322307222684 -3610,CACAGGCTTGGTCTTGCTGCTGCTGGGCAT,MED12,64.77,1410.0,0.269480519,0,AZD_200nM,0.48498524232118495 -3611,CACAGGCTTGGTCTTGCTGCTGCTGGGCAT,MED12,64.77,1410.0,0.29220779199999997,0,PLX_2uM,0.48498524232118495 -3612,TCTGGGCTTGTCGGCAAATCGGGGGGGTTC,NF1,23.88,678.0,0.703804348,0,PLX_2uM,0.5690990133328042 -3613,CCTTGGCTTTAGAAGAGGACCTGAAGGTAT,NF1,61.18,1737.0,0.77173913,0,PLX_2uM,0.600512915561641 -3614,GTGGGGCTTTCGGGCATCTTTGATGGGAAA,CD45,43.89,496.0,0.068592058,0,nodrug,0.4435894853124293 -3615,GGAAGGGAAAAGGGAACTCCTCTATGGTCA,NF1,23.46,666.0,0.222826087,0,PLX_2uM,0.46733315359835026 -3616,TGCAGGGAAACAAGAGACCAGAGCAGGAGT,CD33,69.78,254.0,0.5844155839999999,0,nodrug,0.5358557325007899 -3617,TGAAGGGAAAGGACCAAGGGCCAAGGGGTC,CD5,18.22,90.0,0.983263598,1,nodrug,0.5734053754267792 -3618,GCTTGGGAAGATACACATGCAAAATGGGAA,NF1,27.58,783.0,0.13858695699999998,0,PLX_2uM,0.2710005376268275 -3619,TTCCGGGAAGGAGCCATTATATCCAGGGAC,CD33,18.68,68.0,0.229437229,0,nodrug,0.4504952469710435 -3620,GCTGGGGAATAGTACCTGGGGGATGGGAAA,MED12,34.04,741.0,0.645021645,0,AZD_200nM,0.4622704510921114 -3621,GCTGGGGAATAGTACCTGGGGGATGGGAAA,MED12,34.04,741.0,0.602813853,0,PLX_2uM,0.4622704510921114 -3622,ACTTGGGACCGCACAGTTGCTGTGTGGCTT,CD5,87.65,433.0,0.439330544,0,nodrug,0.5897956005978124 -3623,GCTGGGGAGATTTGTAACTGTATTTGGTAC,CD33,34.89,127.0,0.036796537000000004,0,nodrug,0.18111631790149563 -3624,AAATGGGAGCACTGGGAGCAGAAAGGGAGC,MED12,25.68,559.0,0.598484848,0,AZD_200nM,0.4833024088202654 -3625,AAATGGGAGCACTGGGAGCAGAAAGGGAGC,MED12,25.68,559.0,0.563852814,0,PLX_2uM,0.4833024088202654 -3626,CACTGGGAGCAGAAAGGGAGCCAGAGGCGA,MED12,25.54,556.0,0.395021645,0,AZD_200nM,0.601837744620778 -3627,CACTGGGAGCAGAAAGGGAGCCAGAGGCGA,MED12,25.54,556.0,0.386363636,0,PLX_2uM,0.601837744620778 -3628,GGCTGGGAGCCTCCCACACCACGCAGGACC,CD13,14.48,140.0,0.674725275,0,nodrug,0.6706656942670227 -3629,CGCGGGGAGGACATGGCCGCGCACAGGCCG,NF1,0.14,4.0,0.548913043,0,PLX_2uM,0.5239581009064948 -3630,ATGTGGGAGGAGAGAATTACTGCTTGGTAC,NF2,31.93,190.0,0.547085202,0,PLX_2uM,0.6081481022035355 -3631,ATGAGGGAGGAGGCTGAACGCACGAGGGAT,NF2,59.16,352.0,0.493273543,0,PLX_2uM,0.582461840813309 -3632,TTCTGGGAGGCAGCCAGCAGGTGGCGGTCG,MED12,55.4,1206.0,0.529220779,0,AZD_200nM,0.5561191286844138 -3633,TTCTGGGAGGCAGCCAGCAGGTGGCGGTCG,MED12,55.4,1206.0,0.826839827,1,PLX_2uM,0.5561191286844138 -3634,ACCGGGGAGGCTGACCCTGTGGTAGGGTGG,CD33,82.97,302.0,0.103896104,0,nodrug,0.46804728127741546 -3635,TTATGGGATCTTGGGTAGACGTCGTGGATG,CD43,58.48,231.0,0.485507246,0,nodrug,0.6263841356455994 -3636,GGCAGGGATGGCCCCACAGAGGGGTGGGGG,CCDC101,49.15,144.0,0.046979865999999995,0,AZD_200nM,0.2985976334962544 -3637,AACTGGGATTGTGGTCTGCCCCCAGGGGCT,CD43,16.71,66.0,0.130434783,0,nodrug,0.46426132392089475 -3638,CGCGGGGCACAAAGCGCTCGTAGTTGGCAC,CD15,84.34,447.0,0.710622711,0,nodrug,0.4989059154485378 -3639,CCAGGGGCACAGGGTGGTCCTGCGTGGTGT,CD13,14.37,139.0,0.472527473,0,nodrug,0.6478215998348303 -3640,CTCAGGGCAGATTCCGCCTCCTTGGGGATC,CD33,25.55,93.0,0.6861471859999999,0,nodrug,0.6109221440751283 -3641,GCCGGGGCAGCCGGTGCCCGAAATTGGGCT,CD15,74.91,397.0,0.051282050999999995,0,nodrug,0.13885245947118116 -3642,GCGGGGGCAGCGGGGTGGTGAGGCTGGGTG,TADA2B,35.0,147.0,0.031578947,0,AZD_200nM,0.27760126412039565 -3643,GAAAGGGCAGGATGAACAACGCGAGGGACT,MED12,68.72,1496.0,0.7489177490000001,0,AZD_200nM,0.6711352670969343 -3644,GAAAGGGCAGGATGAACAACGCGAGGGACT,MED12,68.72,1496.0,0.694805195,0,PLX_2uM,0.6711352670969343 -3645,AGGTGGGCAGTTTAGCAATGAGGGGGGCCA,MED12,65.73,1431.0,0.775974026,0,AZD_200nM,0.7476824747574418 -3646,AGGTGGGCAGTTTAGCAATGAGGGGGGCCA,MED12,65.73,1431.0,0.695887446,0,PLX_2uM,0.7476824747574418 -3647,CCCTGGGCATCCTGGGGATCCTCCTGGGCG,CD13,1.76,17.0,0.02967033,0,nodrug,0.33007620755554345 -3648,TCAGGGGCCACTAAAAGAAACGATCGGTGA,CD45,76.81,868.0,0.967509025,1,nodrug,0.6086154032475581 -3649,TACAGGGCCACTTCTAGTTTGGTCTGGGCT,NF1,24.13,685.0,0.96875,1,PLX_2uM,0.3822494530514487 -3650,CCTGGGGCCAGGCCCGCTGGGTTTGGGTCT,CD5,74.9,370.0,0.163179916,0,nodrug,0.17763795992808248 -3651,TTTAGGGCCATTAGTTTCATAAGGAGGACC,CD45,29.65,335.0,0.953068592,1,nodrug,0.6339571224176838 -3652,TCTGGGGCCCTCGAGTGAGATGCATGGACT,CD43,50.63,200.0,0.956521739,1,nodrug,0.6372414180421826 -3653,CACTGGGCCGCTGTTGCAGGTGGCGGGTAG,MED12,91.41,1990.0,0.244588745,0,AZD_200nM,0.25788339888570105 -3654,CACTGGGCCGCTGTTGCAGGTGGCGGGTAG,MED12,91.41,1990.0,0.34956709999999996,0,PLX_2uM,0.25788339888570105 -3655,CACAGGGCCTCCCACTGTGATCTCTGGCGC,CD5,59.51,294.0,0.271966527,0,nodrug,0.43606138076624495 -3656,CAGCGGGCCTGGCCCCAGGCACTGTGGCAA,CD5,76.52,378.0,0.8577405859999999,1,nodrug,0.6369405183420317 -3657,ACCCGGGCCTGGCGCTCGTCCCAGTGGCTC,CD15,68.68,364.0,0.857142857,1,nodrug,0.6049907914984602 -3658,CCCAGGGCGAGATCTTCTGTTTGGTGGAAA,MED12,77.26,1682.0,0.33982684,0,AZD_200nM,0.4335930477962683 -3659,CCCAGGGCGAGATCTTCTGTTTGGTGGAAA,MED12,77.26,1682.0,0.31168831199999997,0,PLX_2uM,0.4335930477962683 -3660,GGGCGGGCGGCGCGGGTGGCGCCGAGGCCG,CD15,27.17,144.0,0.073260073,0,nodrug,0.2997055771635516 -3661,CCGAGGGCGGCTGGACCAGTCGCGAGGAGC,TADA2B,17.38,73.0,0.794736842,0,AZD_200nM,0.6425259018667406 -3662,TGAGGGGCGGGTAACATTGGAATCGGGGTC,CD13,59.15,572.0,0.254945055,0,nodrug,0.4128125760976505 -3663,TGTTGGGCGTACAGGTACCTACATTGGAAT,CD45,60.97,689.0,0.797833935,0,nodrug,0.6188261828895792 -3664,ACCGGGGCTCCCCGAGGCCGGGCCGGGACA,H2-K,9.76,36.0,0.053254438,0,nodrug,0.28830299109575175 -3665,CACAGGGCTCCCTTATCGATACCAAGGGCA,MED12,76.25,1660.0,0.49134199100000003,0,AZD_200nM,0.5795226089987578 -3666,CACAGGGCTCCCTTATCGATACCAAGGGCA,MED12,76.25,1660.0,0.444805195,0,PLX_2uM,0.5795226089987578 -3667,CGTGGGGCTCGCCGACGGCGGCGGCGGGCG,CD15,25.66,136.0,0.146520147,0,nodrug,0.22943176195272183 -3668,GACAGGGCTGTCAGGTCCTTGGGGTGGATA,CD13,24.82,240.0,0.795604396,0,nodrug,0.6305015935923866 -3669,AGTCGGGCTGTGACAGTTCCCAGCGGGTCC,NF1,64.49,1831.0,0.945652174,1,PLX_2uM,0.5854256949177937 -3670,AGATGGGCTTCCCGGTCATCACGGTGGATA,CD13,57.19,553.0,0.8472527470000001,1,nodrug,0.7524588749277676 -3671,AAAGGGGCTTGAAGTTAATGTCAAAGGTGA,NF1,50.83,1443.0,0.922554348,1,PLX_2uM,0.6178929468435299 -3672,GTCTGGGCTTGTCGGCAAATCGGGGGGGTT,NF1,23.88,678.0,0.15896739099999999,0,PLX_2uM,0.3978794848569045 -3673,TGTGGGGCTTTCGGGCATCTTTGATGGGAA,CD45,43.89,496.0,0.057761732999999996,0,nodrug,0.2774098231270247 -3674,TGCTGGGGAATAGTACCTGGGGGATGGGAA,MED12,34.04,741.0,0.143939394,0,AZD_200nM,0.43823728752438 -3675,TGCTGGGGAATAGTACCTGGGGGATGGGAA,MED12,34.04,741.0,0.12012987,0,PLX_2uM,0.43823728752438 -3676,AACAGGGGACATAAAAGTAATTGGTGGAGA,HPRT1,53.67,117.0,0.625,0,6TG_2ug/mL,0.639069209059094 -3677,CACCGGGGAGGCTGACCCTGTGGTAGGGTG,CD33,83.24,303.0,0.12121212099999999,0,nodrug,0.42844013437602857 -3678,AACTGGGGAGTTCTTGTCGTAGTAGGGTAT,CD33,13.74,50.0,0.67965368,0,nodrug,0.6055748532249844 -3679,GGTTGGGGATGGTGTCGGGGATGCAGGCCT,TADA2B,29.52,124.0,0.042105263,0,AZD_200nM,0.37957589634112077 -3680,CTGGGGGGCACCATGGTACCTGCAGGGCCT,MED12,90.03,1960.0,0.293290043,0,AZD_200nM,0.3704277297657994 -3681,CTGGGGGGCACCATGGTACCTGCAGGGCCT,MED12,90.03,1960.0,0.538961039,0,PLX_2uM,0.3704277297657994 -3682,TCTGGGGGCAGTGGCAGTGGCTCCAGGTAA,MED12,79.93,1740.0,0.202380952,0,AZD_200nM,0.32937014399040876 -3683,TCTGGGGGCAGTGGCAGTGGCTCCAGGTAA,MED12,79.93,1740.0,0.28354978399999997,0,PLX_2uM,0.32937014399040876 -3684,GCCTGGGGCCAGGCCCGCTGGGTTTGGGTC,CD5,75.1,371.0,0.10460251,0,nodrug,0.1130860809007444 -3685,TCGGGGGGCCCCTTCACGAGGTCGCGGTGG,CD15,45.47,241.0,0.904761905,1,nodrug,0.5005343432864611 -3686,GTGTGGGGCCTCTATCACAGAACTTGGACC,MED12,62.01,1350.0,0.818181818,1,AZD_200nM,0.5960524161705673 -3687,GTGTGGGGCCTCTATCACAGAACTTGGACC,MED12,62.01,1350.0,0.7510822509999999,0,PLX_2uM,0.5960524161705673 -3688,TGTGGGGGCGCATGGATCAGGGCGCGGTAG,CCDC101,84.3,247.0,0.40939597299999997,0,AZD_200nM,0.42260842787113806 -3689,CTGAGGGGCGGGTAACATTGGAATCGGGGT,CD13,59.15,572.0,0.31098901100000004,0,nodrug,0.4625736779505454 -3690,CGCTGGGGCGGTGCCGGTGGTGCTGGGCCC,CD15,82.83,439.0,0.282051282,0,nodrug,0.28693287255307764 -3691,GTGAGGGGCTCAGGCAGCCCCTGATGGTAC,H2-K,77.24,285.0,0.01183432,0,nodrug,0.46666608528980363 -3692,AGTGGGGGCTGTGGTTCCACGATAGGGCCC,MED12,10.06,219.0,0.41233766200000005,0,AZD_200nM,0.5432881424884969 -3693,AGTGGGGGCTGTGGTTCCACGATAGGGCCC,MED12,10.06,219.0,0.432900433,0,PLX_2uM,0.5432881424884969 -3694,GAGCGGGGGAAGATGGCGGAGCTGGGGAAG,TADA2B,0.95,4.0,0.5210526320000001,0,AZD_200nM,0.4486608709957661 -3695,TCGAGGGGGAGTTGGCAGATGACCTGGCGG,CD13,19.54,189.0,0.416483516,0,nodrug,0.4656828000599021 -3696,GCTGGGGGGCACCATGGTACCTGCAGGGCC,MED12,90.08,1961.0,0.34307359299999995,0,AZD_200nM,0.25202835216371006 -3697,GCTGGGGGGCACCATGGTACCTGCAGGGCC,MED12,90.08,1961.0,0.33008658,0,PLX_2uM,0.25202835216371006 -3698,GGTCGGGGGCAGCAGTGTGTGTGAGGGCAT,CD5,57.69,285.0,0.548117155,0,nodrug,0.5805326984181093 -3699,TTCGGGGGGCGCGATAGCGCCCCGAGGCCG,CD15,38.68,205.0,0.003663004,0,nodrug,0.6199870799314839 -3700,AAGTGGGGGCTGTGGTTCCACGATAGGGCC,MED12,10.01,218.0,0.319264069,0,AZD_200nM,0.47952664011893625 -3701,AAGTGGGGGCTGTGGTTCCACGATAGGGCC,MED12,10.01,218.0,0.277056277,0,PLX_2uM,0.47952664011893625 -3702,GCCAGGGGGTTCCGCAGCAAAACCTGGAAA,TADA1,27.46,92.0,0.449541284,0,AZD_200nM,0.4881015993864566 -3703,GTTTGGGGTCCTGAGGGTAAACATCGGGAG,MED12,1.1,24.0,0.722943723,0,AZD_200nM,0.6491103431231207 -3704,GTTTGGGGTCCTGAGGGTAAACATCGGGAG,MED12,1.1,24.0,0.66991342,0,PLX_2uM,0.6491103431231207 -3705,AAGAGGGGTGTGACCTGCTTCTTCAGGTAG,CD13,74.77,723.0,0.050549450999999995,0,nodrug,0.36995356944942837 -3706,AGGCGGGGTTGGTGGTGGCTGAGGCGGACG,CD13,5.58,54.0,0.362637363,0,nodrug,0.44153657573308996 -3707,GTCAGGGTCAAGTGGAGATCCAGATGGAAA,CD5,10.12,50.0,0.9790794979999999,1,nodrug,0.7131496233326843 -3708,AGGAGGGTCACTGGCTACATTTGATGGTTC,CD43,30.13,119.0,0.7246376809999999,0,nodrug,0.39931250759432746 -3709,TCTCGGGTCAGGCTGAACTCATGCTGGATG,THY1,31.48,51.0,0.822580645,1,nodrug,0.5671618334115414 -3710,CCATGGGTCCAGTCAGTGAACGTAAGGGTT,NF1,30.75,873.0,0.5271739129999999,0,PLX_2uM,0.5301378834992568 -3711,TTTGGGGTCCTGAGGGTAAACATCGGGAGG,MED12,1.1,24.0,0.8138528140000001,1,AZD_200nM,0.5676881524553186 -3712,TTTGGGGTCCTGAGGGTAAACATCGGGAGG,MED12,1.1,24.0,0.6839826840000001,0,PLX_2uM,0.5676881524553186 -3713,GGGCGGGTCGCCGGGGTGGCTTCTGGGGTA,CD15,63.58,337.0,0.373626374,0,nodrug,0.28768559545988975 -3714,GGCTGGGTGAGAGGGGGCCTCCGCTGGGAC,TADA2B,33.33,140.0,0.178947368,0,AZD_200nM,0.2220729978885718 -3715,GTCCGGGTGCTCACGACAGGATATTGGCCC,CUL3,66.67,512.0,0.954545455,1,PLX_2uM,0.5343203153002324 -3716,TTGTGGGTGGAGGTGTCGTTCTCTGGGGCT,CD5,27.73,137.0,0.138075314,0,nodrug,0.35574902546011034 -3717,GCTGGGGTGGCACCATCCTCTACAAGGCCA,CD5,37.85,187.0,0.652719665,0,nodrug,0.5616749182435679 -3718,GGCAGGGTGGCCGCAACATCTCTGTGGAGA,MED12,58.29,1269.0,0.772727273,0,AZD_200nM,0.7095372679088926 -3719,GGCAGGGTGGCCGCAACATCTCTGTGGAGA,MED12,58.29,1269.0,0.769480519,0,PLX_2uM,0.7095372679088926 -3720,AGCGGGGTGGTGAGGCTGGGTGAGAGGGGG,TADA2B,34.29,144.0,0.342105263,0,AZD_200nM,0.3677172648729301 -3721,GTTTGGGTGGTGCAGGAGGTCCGGAGGCAC,MED12,83.56,1819.0,0.6655844160000001,0,AZD_200nM,0.4830642524461639 -3722,GTTTGGGTGGTGCAGGAGGTCCGGAGGCAC,MED12,83.56,1819.0,0.42207792200000005,0,PLX_2uM,0.4830642524461639 -3723,AGGCGGGTGTGGACAGCGGGTGGGAGGAGG,CD13,46.85,453.0,0.51978022,0,nodrug,0.47453434097848585 -3724,CCATGGGTTTGTGGCTCAAACTTCTGGCCT,CD45,0.8,9.0,0.187725632,0,nodrug,0.2546927982057699 -3725,ACCTGGGTTTGTTTGATCAGCTGATGGAGC,CCDC101,6.48,19.0,0.234899329,0,AZD_200nM,0.48740701173413703 -3726,CATTGGTAAGCGCACAGGACGGTATGGGTC,MED12,85.39,1859.0,0.482683983,0,AZD_200nM,0.4669157229345397 -3727,CATTGGTAAGCGCACAGGACGGTATGGGTC,MED12,85.39,1859.0,0.541125541,0,PLX_2uM,0.4669157229345397 -3728,GGAGGGTAAGGAGATGTGGGAGTCAGGAGG,NF1,97.11,2757.0,0.160326087,0,PLX_2uM,0.06825545344111424 -3729,ACCCGGTAATAGCCCGTCACATTGAGGTTC,CD13,64.63,625.0,0.8505494509999999,1,nodrug,0.596165140461104 -3730,AACTGGTACAGCGGCCTCAGCTTCAGGCGC,TADA2B,61.43,258.0,0.236842105,0,AZD_200nM,0.35086299491928535 -3731,GTGAGGTACGGTCTCAGCGTCACCCGGTAG,CD13,9.0,87.0,0.823076923,1,nodrug,0.5998518622553842 -3732,AGATGGTAGAATACCTGACAGACTGGGTTA,NF1,36.88,1047.0,0.807065217,1,PLX_2uM,0.6220119514333536 -3733,AGCTGGTAGCCGTGGTAGCGGCGGTGGTGG,TADA2B,10.95,46.0,0.647368421,0,AZD_200nM,0.5256994197259871 -3734,TGGTGGTAGTAGCGGACCCGGGCCTGGCGC,CD15,69.62,369.0,0.106227106,0,nodrug,0.3599711485199565 -3735,AGGGGGTCAAAGAAACTGGGATTGTGGTCT,CD43,17.72,70.0,0.731884058,0,nodrug,0.6530863352705828 -3736,TCGGGGTCAAGGAGGAAGTGCTCCTGGGAA,CD13,58.32,564.0,0.274725275,0,nodrug,0.4443993431748375 -3737,CCGTGGTCAGCCGCTTCGACGAGCAGGTAA,NF1,0.67,19.0,0.027173912999999997,0,PLX_2uM,0.5331609708436028 -3738,TGGAGGTCAGTCCATGTCCATAGGTGGGGG,MED12,92.15,2006.0,0.353896104,0,AZD_200nM,0.30609850347969886 -3739,TGGAGGTCAGTCCATGTCCATAGGTGGGGG,MED12,92.15,2006.0,0.28138528100000004,0,PLX_2uM,0.30609850347969886 -3740,TCAGGGTCATAAATGTGAAGCCCCAGGGCA,NF2,40.34,240.0,0.8789237670000001,1,PLX_2uM,0.5642861937280003 -3741,TGTTGGTCATAATGTGAAAGGTGCTGGAAC,MED12,38.36,835.0,0.692640693,0,AZD_200nM,0.560770262560896 -3742,TGTTGGTCATAATGTGAAAGGTGCTGGAAC,MED12,38.36,835.0,0.746753247,0,PLX_2uM,0.560770262560896 -3743,AGACGGTCATTGTTGAATGATTCCAGGAGG,CUL3,46.61,358.0,0.519480519,0,PLX_2uM,0.46396654474491894 -3744,GACTGGTCCAGCCGCCCTCGGCCTCGGGCC,TADA2B,15.71,66.0,0.15789473699999998,0,AZD_200nM,0.31543990150881285 -3745,CATGGGTCCAGTCAGTGAACGTAAGGGTTC,NF1,30.75,873.0,0.701086957,0,PLX_2uM,0.6786413795079821 -3746,CAAGGGTCCCTTCAATCTTCTCCTTGGGTG,MED12,32.89,716.0,0.385281385,0,AZD_200nM,0.3616058209495996 -3747,CAAGGGTCCCTTCAATCTTCTCCTTGGGTG,MED12,32.89,716.0,0.365800866,0,PLX_2uM,0.3616058209495996 -3748,ATGTGGTCCTCCTTATGAAACTAATGGCCC,CD45,29.82,337.0,0.162454874,0,nodrug,0.4744965992601254 -3749,TTGAGGTCCTGAATCATAGACACCAGGTCT,CD45,85.31,964.0,0.685920578,0,nodrug,0.5819884450764197 -3750,CAACGGTCGCCATGTTGGAGACAGTGGATG,H2-K,81.84,302.0,0.295857988,0,nodrug,0.49407884701312516 -3751,GGCGGGTCGCCGGGGTGGCTTCTGGGGTAG,CD15,63.4,336.0,0.6190476189999999,0,nodrug,0.49305571593649006 -3752,CGCGGGTCTGAGTCGGAGCCAGGGCGGCCG,H2-K,3.79,14.0,0.917159763,1,nodrug,0.7451359337307607 -3753,TTGTGGTCTGCCCCCAGGGGCTGATGGTCT,CD43,15.95,63.0,0.985507246,1,nodrug,0.5601487641585253 -3754,CCATGGTCTGGCCAGCTGGTGAATTGGATA,CD45,56.81,642.0,0.397111913,0,nodrug,0.47061208338714466 -3755,GACTGGTCTGGCCGACAGTTGGATAGGTGG,NF1,88.38,2509.0,0.30298913,0,PLX_2uM,0.47011191989145523 -3756,CTGGGGTCTGTTCAATGAAGGGAAAGGACC,CD5,19.23,95.0,0.974895397,1,nodrug,0.645809396789295 -3757,GCCTGGTGAACCAAAACCTTCGCCTGGACT,THY1,21.6,35.0,0.161290323,0,nodrug,0.5580886723093885 -3758,GCTGGGTGAGAGGGGGCCTCCGCTGGGACA,TADA2B,33.33,140.0,0.5,0,AZD_200nM,0.5052769727816201 -3759,TTCAGGTGATCTCTGGCTGTGAAGTGGGGT,H2-K,33.33,123.0,0.6982248520000001,0,nodrug,0.5505984509582379 -3760,TGGTGGTGCACCTCAAGGGCTCCCTGGTGA,CD13,17.48,169.0,0.214285714,0,nodrug,0.5269270092386636 -3761,ATCTGGTGCCAGCCTTCCTGGGGAAGGACA,TADA2B,55.71,234.0,0.7105263159999999,0,AZD_200nM,0.5332917772368362 -3762,TACTGGTGCCCATGCTTATTGCCTTGGTGG,CD43,65.06,257.0,0.304347826,0,nodrug,0.4753428495342197 -3763,GGTGGGTGCTCTGGTAAGGCTGGCTGGAGT,MED12,90.54,1971.0,0.012987013,0,AZD_200nM,0.16942915805434894 -3764,GGTGGGTGCTCTGGTAAGGCTGGCTGGAGT,MED12,90.54,1971.0,0.07792207799999999,0,PLX_2uM,0.16942915805434894 -3765,GGCCGGTGCTGAGGGCACATAAGCAGGTCA,MED12,16.08,350.0,0.138528139,0,AZD_200nM,0.5317720261099625 -3766,GGCCGGTGCTGAGGGCACATAAGCAGGTCA,MED12,16.08,350.0,0.085497835,0,PLX_2uM,0.5317720261099625 -3767,AGAAGGTGCTGGAAGCCGAGGTGCTGGCAC,NF2,73.11,435.0,0.224215247,0,PLX_2uM,0.4309803812247083 -3768,CAACGGTGCTGGAATTGGGTTCATGGGCTG,NF2,81.51,485.0,0.30941704,0,PLX_2uM,0.45278917710012534 -3769,GATTGGTGGAACTGGTCACAATGATGGGTG,NF1,42.76,1214.0,0.9701086959999999,1,PLX_2uM,0.5229114693367043 -3770,GGCCGGTGGAATGGGTCCAGGCCGTGGTCA,NF1,0.42,12.0,0.54076087,0,PLX_2uM,0.4897050035084346 -3771,AGCTGGTGGAGCCCACCGAGTACCTGGTGG,CD13,16.65,161.0,0.479120879,0,nodrug,0.5140493037274524 -3772,TGTGGGTGGAGGTGTCGTTCTCTGGGGCTC,CD5,27.73,137.0,0.422594142,0,nodrug,0.626371687337148 -3773,GAGGGGTGGCAGACACTCACCGAGTGGTCT,CD13,67.32,651.0,0.954945055,1,nodrug,0.7149668067444949 -3774,GGGTGGTGGCCACTACACAGATGCAGGCTG,CD13,21.92,212.0,0.47032967,0,nodrug,0.5906538799798982 -3775,AGGTGGTGGCCGAGGCGGGGTTGGTGGTGG,CD13,6.0,58.0,0.14285714300000002,0,nodrug,0.37539871312876744 -3776,AGCAGGTGGCGGTCGCAGGAGGAGCGGATT,MED12,55.17,1201.0,0.715367965,0,AZD_200nM,0.6665135107476465 -3777,AGCAGGTGGCGGTCGCAGGAGGAGCGGATT,MED12,55.17,1201.0,0.755411255,0,PLX_2uM,0.6665135107476465 -3778,TGGTGGTGGCTGAGGCGGACGGGGTGGTGG,CD13,5.27,51.0,0.33846153799999995,0,nodrug,0.47726547186300283 -3779,CTGAGGTGGGCAGTTTAGCAATGAGGGGGG,MED12,65.78,1432.0,0.914502165,1,AZD_200nM,0.6112223472311011 -3780,CTGAGGTGGGCAGTTTAGCAATGAGGGGGG,MED12,65.78,1432.0,0.79978355,0,PLX_2uM,0.6112223472311011 -3781,GACCGGTGGGCGTGCTGCTGTGGTGGGAGC,CD15,36.6,194.0,0.84981685,1,nodrug,0.5774729650217563 -3782,AGCGGGTGGGGATGCTTTACTTGTTGGACT,MED12,72.39,1576.0,0.38203463200000004,0,AZD_200nM,0.3694396632766604 -3783,AGCGGGTGGGGATGCTTTACTTGTTGGACT,MED12,72.39,1576.0,0.399350649,0,PLX_2uM,0.3694396632766604 -3784,GGGAGGTGGGGGCAGCTGACAACCAGGAGA,CD33,49.45,180.0,0.696969697,0,nodrug,0.5444552979557263 -3785,GGCAGGTGGGGGGCATGTTTGACACGGTGC,MED12,70.97,1545.0,0.45995671,0,AZD_200nM,0.5602588983793269 -3786,GGCAGGTGGGGGGCATGTTTGACACGGTGC,MED12,70.97,1545.0,0.637445887,0,PLX_2uM,0.5602588983793269 -3787,GAAGGGTGGGTGCTCTGGTAAGGCTGGCTG,MED12,90.58,1972.0,0.26623376600000004,0,AZD_200nM,0.21970181468030697 -3788,GAAGGGTGGGTGCTCTGGTAAGGCTGGCTG,MED12,90.58,1972.0,0.21861471899999999,0,PLX_2uM,0.21970181468030697 -3789,GCGGGGTGGTGAGGCTGGGTGAGAGGGGGC,TADA2B,34.29,144.0,0.221052632,0,AZD_200nM,0.3986540012307101 -3790,CCAAGGTGGTGGCCGAGGCGGGGTTGGTGG,CD13,6.1,59.0,0.256043956,0,nodrug,0.39603892111821826 -3791,GGTTGGTGGTGGCTGAGGCGGACGGGGTGG,CD13,5.38,52.0,0.313186813,0,nodrug,0.35842625603652123 -3792,GCACGGTGGTGGGTGGGGTGGTTGTGGGTG,CD5,29.15,144.0,0.050209205,0,nodrug,0.18948343335463286 -3793,TATGGGTGTATTAGGGATCATCTACGGCAA,CUL3,20.96,161.0,0.941558442,1,PLX_2uM,0.6381597208125658 -3794,CTGTGGTGTCATTGCTATGTGAATGGGCTG,MED12,23.38,509.0,0.70021645,0,AZD_200nM,0.5719498846884434 -3795,CTGTGGTGTCATTGCTATGTGAATGGGCTG,MED12,23.38,509.0,0.654761905,0,PLX_2uM,0.5719498846884434 -3796,GACAGGTGTGGTCTGTCACGCGGTTGGGGA,TADA2B,31.19,131.0,0.757894737,0,AZD_200nM,0.4502820058543026 -3797,CACAGGTGTGGTGGAATTCTACAATGGCAG,CD5,35.83,177.0,0.928870293,1,nodrug,0.6943816308906472 -3798,TAATGGTGTGTAACCATGAGAAAGTGGGAC,NF1,31.98,908.0,0.758152174,0,PLX_2uM,0.6885071114457713 -3799,TCTTGGTGTGTTGGGGGATAGAGTCGGGCT,NF1,64.74,1838.0,0.370923913,0,PLX_2uM,0.5272510628364172 -3800,ACCTGGTGTTGGTCATAATGTGAAAGGTGC,MED12,38.45,837.0,0.988095238,1,AZD_200nM,0.6678229744554205 -3801,ACCTGGTGTTGGTCATAATGTGAAAGGTGC,MED12,38.45,837.0,0.984848485,1,PLX_2uM,0.6678229744554205 -3802,TTTTGGTTCACCAGGCAGGCTGTCAGGCTG,THY1,16.05,26.0,0.09677419400000001,0,nodrug,0.40980028375231864 -3803,CCAAGGTTCAGAGCCGCCTGGTCGGGGGCA,CD5,56.48,279.0,0.485355649,0,nodrug,0.43663349217315917 -3804,GAAAGGTTCAGGCTTCACTGTGACAGGAGG,MED12,57.05,1242.0,0.363636364,0,AZD_200nM,0.5458286737986415 -3805,GAAAGGTTCAGGCTTCACTGTGACAGGAGG,MED12,57.05,1242.0,0.30194805199999997,0,PLX_2uM,0.5458286737986415 -3806,CACAGGTTCAGGTAGATGGTGTTCTGGTAG,CD13,52.84,511.0,0.282417582,0,nodrug,0.42853594359905683 -3807,TCAGGGTTCCACAGAAACATGTACAGGGCC,NF1,24.37,692.0,0.944293478,1,PLX_2uM,0.5624608619527697 -3808,GGAAGGTTCCATCCCCTGCAGGCCTGGTCT,H2-K,69.38,256.0,0.041420118,0,nodrug,0.32680827333882806 -3809,ATGCGGTTCTGGGAGGCAGCCAGCAGGTGG,MED12,55.49,1208.0,0.884199134,1,AZD_200nM,0.5634915220039092 -3810,ATGCGGTTCTGGGAGGCAGCCAGCAGGTGG,MED12,55.49,1208.0,0.866883117,1,PLX_2uM,0.5634915220039092 -3811,GCGGGGTTGCGGTCGAGGAAAAGCAGGTAC,CD15,89.25,473.0,0.8205128209999999,1,nodrug,0.49791219284807553 -3812,TTAAGGTTGGCAGTGATACTAAGCTGGCTC,NF1,97.57,2770.0,0.635869565,0,PLX_2uM,0.21930842653622606 -3813,CCAGGGTTGGTGTCACTCACTTGTTGGTGG,CCDC101,64.51,189.0,0.375838926,0,AZD_200nM,0.39512806847630555 -3814,CCCCGTAAAAAAGGAGAAAGTGACAGGAAC,NF1,21.94,623.0,0.60326087,0,PLX_2uM,0.5828301727764023 -3815,GAAAGTAACAACGTGGAAGAGGTAGGGAAG,NF1,74.08,2103.0,0.949728261,1,PLX_2uM,0.5809718301496514 -3816,ACCAGTAACATGCCACTTGATTCTTGGCTT,CD43,62.03,245.0,0.123188406,0,nodrug,0.33670315452452465 -3817,TTCAGTAAGAAGGAAGAGGTGTTTGGGTAC,MED12,6.57,143.0,0.7478354979999999,0,AZD_200nM,0.46879236887815184 -3818,TTCAGTAAGAAGGAAGAGGTGTTTGGGTAC,MED12,6.57,143.0,0.843073593,1,PLX_2uM,0.46879236887815184 -3819,ATTGGTAAGCGCACAGGACGGTATGGGTCC,MED12,85.35,1858.0,0.5324675320000001,0,AZD_200nM,0.542523322460617 -3820,ATTGGTAAGCGCACAGGACGGTATGGGTCC,MED12,85.35,1858.0,0.506493506,0,PLX_2uM,0.542523322460617 -3821,TCTGGTAAGGCTGGCTGGAGTAGCTGGGGG,MED12,90.4,1968.0,0.027056277000000004,0,AZD_200nM,0.10242459271054925 -3822,TCTGGTAAGGCTGGCTGGAGTAGCTGGGGG,MED12,90.4,1968.0,0.024891775,0,PLX_2uM,0.10242459271054925 -3823,TCACGTAATGCTCCATCACCTCTTGGGGAG,TADA2B,25.0,105.0,0.068421053,0,AZD_200nM,0.48223424565527095 -3824,TACAGTAATTACCTTATTAAGAAGTGGCTG,NF1,81.19,2305.0,0.235054348,0,PLX_2uM,0.45242203971787853 -3825,TGCAGTACACAATCAAGGACACAGTGGCCT,NF2,11.93,71.0,0.977578475,1,PLX_2uM,0.8781464454273844 -3826,GCCGGTACACAGAGGTCTTATAAGAGGAGG,MED12,86.95,1893.0,0.449134199,0,AZD_200nM,0.4859944803364545 -3827,GCCGGTACACAGAGGTCTTATAAGAGGAGG,MED12,86.95,1893.0,0.36688311700000004,0,PLX_2uM,0.4859944803364545 -3828,GGCAGTACAGCAGAATTAATTACAGGGCTC,NF1,18.56,527.0,0.980978261,1,PLX_2uM,0.7002459450556631 -3829,AAACGTACAGGCCCCTGTCATTGGGGGTGA,CD13,9.93,96.0,0.759340659,0,nodrug,0.6880516037045025 -3830,ACATGTACAGGGCCACTTCTAGTTTGGTCT,NF1,24.2,687.0,0.14673913,0,PLX_2uM,0.4110028076258727 -3831,CCCGGTACATGGAAGTCGGCTACGTGGACG,H2-K,13.01,48.0,0.934911243,1,nodrug,0.7483946868045268 -3832,CCATGTACCGGGGCTCCCCGAGGCCGGGCC,H2-K,10.3,38.0,0.390532544,0,nodrug,0.4090247833793859 -3833,GACCGTACCTCACCCCCAATGACAGGGGCC,CD13,10.03,97.0,0.40439560399999996,0,nodrug,0.6150530807820696 -3834,TGGAGTACCTGGGTGCTGACTATGCGGAGC,CD13,43.85,424.0,0.558241758,0,nodrug,0.7278936837980601 -3835,CCGAGTACCTGGTGGTGCACCTCAAGGGCT,CD13,17.17,166.0,0.537362637,0,nodrug,0.5807033902131247 -3836,GCAAGTACGTGGACATCTTGGGCGTGGTGT,CD13,28.23,273.0,0.843956044,1,nodrug,0.6291534917902593 -3837,CTACGTACTCCTGGAGCCTCTCTCCGGAAG,NF1,23.18,658.0,0.36548913,0,PLX_2uM,0.5579950153121258 -3838,TTGTGTACTGCAGTCCAAAGAACCAGGTTT,NF2,10.25,61.0,0.484304933,0,PLX_2uM,0.6259451128500435 -3839,CTCAGTACTGGGTGGAGCAGCCCCCGGTTT,MED12,81.49,1774.0,0.388528139,0,AZD_200nM,0.5158353908765211 -3840,CTCAGTACTGGGTGGAGCAGCCCCCGGTTT,MED12,81.49,1774.0,0.364718615,0,PLX_2uM,0.5158353908765211 -3841,ACTTGTACTTAACTCCTAGGGCCCCGGGAT,CD45,49.03,554.0,0.812274368,1,nodrug,0.5544918000370487 -3842,AGAGGTACTTGGAGCTGTGATATGTGGGGT,CD43,8.61,34.0,0.97826087,1,nodrug,0.6430328266789125 -3843,TCTTGTAGACCAGAGGACCACACATGGCCA,CD5,80.16,396.0,0.849372385,1,nodrug,0.6615187514933349 -3844,TGCAGTAGACGGTGGACCGCAGGTTGGGGT,CD13,81.9,792.0,0.8736263740000001,1,nodrug,0.6202328261304499 -3845,TGAGGTAGATGACATCGATGAAGAAGGCAA,CCDC101,67.24,197.0,0.44295302,0,AZD_200nM,0.5664842225887409 -3846,CTTAGTAGCACAGAAATTCTCAAGTGGTTG,NF1,21.06,598.0,0.49048913,0,PLX_2uM,0.6207382364821639 -3847,ATGTGTAGCAGAAATCTTATATCGCGGTGT,CD45,17.26,195.0,0.97833935,1,nodrug,0.792078292476183 -3848,CATTGTAGCCCTCTGTGTGCTCAAGGGGGG,HPRT1,31.19,68.0,0.671875,0,6TG_2ug/mL,0.5593872694772004 -3849,CCACGTAGCCGACTTCCATGTACCGGGGCT,H2-K,11.65,43.0,0.8934911240000001,1,nodrug,0.5662160548751123 -3850,CCAGGTAGCTAGGAAGGCGGCTTTTGGAGG,TADA2B,93.1,391.0,0.18947368399999998,0,AZD_200nM,0.20689184463388793 -3851,TGAAGTAGCTCAGGCTGCTCAGGGCGGCCT,CD13,72.29,699.0,0.9318681320000001,1,nodrug,0.7029227979746849 -3852,TAGTGTAGCTGCCCACCAGATCCGAGGATT,MED12,41.94,913.0,0.7186147190000001,0,AZD_200nM,0.7292605539368857 -3853,TAGTGTAGCTGCCCACCAGATCCGAGGATT,MED12,41.94,913.0,0.75,0,PLX_2uM,0.7292605539368857 -3854,CAATGTAGCTGGCATTTATGTAGGTGGACC,CD45,47.17,533.0,0.7184115520000001,0,nodrug,0.6644866717663853 -3855,TCTGGTAGGCAAAGGTGTGGAGGTAGGACT,CD13,52.12,504.0,0.612087912,0,nodrug,0.6602591115544468 -3856,AGTGGTAGGGGTCCGTACTCAGCATGGGAG,MED12,26.69,581.0,0.941558442,1,AZD_200nM,0.6443652691719983 -3857,AGTGGTAGGGGTCCGTACTCAGCATGGGAG,MED12,26.69,581.0,1.0,1,PLX_2uM,0.6443652691719983 -3858,AAAAGTAGTCGCCCTCATCCTTGGTGGTGA,THY1,60.49,98.0,0.548387097,0,nodrug,0.6189025420052358 -3859,CCACGTAGTCTCCTGAGGCAGGGATGGCCC,CCDC101,50.85,149.0,0.395973154,0,AZD_200nM,0.5668623809606053 -3860,AATTGTAGTGGACCTTACCCATACCGGGCC,NF1,58.01,1647.0,0.627717391,0,PLX_2uM,0.598372930512692 -3861,GGCAGTATAATCCAAAGATGGTCAAGGTCG,HPRT1,72.48,158.0,0.9375,1,6TG_2ug/mL,0.6077639780288556 -3862,CTTGGTATCGATAAGGGAGCCCTGTGGCTC,MED12,76.02,1655.0,0.739177489,0,AZD_200nM,0.6445314851767107 -3863,CTTGGTATCGATAAGGGAGCCCTGTGGCTC,MED12,76.02,1655.0,0.689393939,0,PLX_2uM,0.6445314851767107 -3864,CCACGTATCTCTGAGCCACATTGAGGGGAG,CCDC101,94.88,278.0,0.610738255,0,AZD_200nM,0.5316522561149174 -3865,ATTTGTATCTTTCAGAGCATTCCACGGGTA,CD45,43.1,487.0,0.913357401,1,nodrug,0.6635040017866196 -3866,GTGTGTATGTACAACAAAATAATGTGGAGA,CUL3,17.58,135.0,0.396103896,0,PLX_2uM,0.6916497277527816 -3867,CCTGGTATTCAGCCTCCAGAGGGGAGGGGT,CD45,68.05,769.0,0.55234657,0,nodrug,0.5064131482919638 -3868,TGGCGTCAAACAGCTCACTGATCTGGGCCG,CD13,48.4,468.0,0.479120879,0,nodrug,0.5100009399494425 -3869,CGGGGTCAAGGAGGAAGTGCTCCTGGGAAA,CD13,58.32,564.0,0.524175824,0,nodrug,0.5655353360498155 -3870,ACTGGTCACAATGATGGGTGATCAAGGAGA,NF1,42.87,1217.0,0.467391304,0,PLX_2uM,0.5206168178756096 -3871,ACCTGTCACATGCACAGAGAGCTGGGGAGA,CD33,36.81,134.0,0.915584416,1,nodrug,0.6743291035421669 -3872,TTTCGTCACCGCCGTGTCCCGGCCCGGCCT,H2-K,9.49,35.0,0.50295858,0,nodrug,0.4869323615939028 -3873,CAGGGTCACTTACTTCCATCAGACTGGCAA,MED12,54.66,1190.0,0.7510822509999999,0,AZD_200nM,0.6142670165937877 -3874,CAGGGTCACTTACTTCCATCAGACTGGCAA,MED12,54.66,1190.0,0.6655844160000001,0,PLX_2uM,0.6142670165937877 -3875,GTTCGTCAGAAAAAGCAGCGTCAGTGGATT,CD5,84.01,415.0,0.230125523,0,nodrug,0.48297299900069024 -3876,CTCTGTCAGCAATATGATGTCAACAGGTAA,NF1,26.38,749.0,0.080163043,0,PLX_2uM,0.42973664610163487 -3877,TGATGTCAGCAGGGTAGAAGCCCAGGGCCC,H2-K,61.79,228.0,0.106508876,0,nodrug,0.6685267719713168 -3878,TTTTGTCAGCATCCACCGTGTGGAAGGAGA,CD5,66.4,328.0,0.20083682,0,nodrug,0.5184476043306605 -3879,GGTTGTCAGCTGCCCCCACCTCCCTGGGCC,CD33,51.1,186.0,0.18614718600000002,0,nodrug,0.3167937765954363 -3880,TGGGGTCAGGGACAGTGGACTCGAAGGAGA,CD43,14.68,58.0,0.688405797,0,nodrug,0.5879471524576516 -3881,GAATGTCAGGTCTCCAGGATTCAGAGGCAC,MED12,36.75,800.0,0.19372294399999998,0,AZD_200nM,0.6052973843126854 -3882,GAATGTCAGGTCTCCAGGATTCAGAGGCAC,MED12,36.75,800.0,0.198051948,0,PLX_2uM,0.6052973843126854 -3883,GGAGGTCAGTCCATGTCCATAGGTGGGGGC,MED12,92.15,2006.0,0.323593074,0,AZD_200nM,0.2663231697242754 -3884,GGAGGTCAGTCCATGTCCATAGGTGGGGGC,MED12,92.15,2006.0,0.23051948100000003,0,PLX_2uM,0.2663231697242754 -3885,CCAAGTCAGTGAACCAAGTGTTAATGGCAC,MED12,5.24,114.0,0.17965368,0,AZD_200nM,0.2768409636267861 -3886,CCAAGTCAGTGAACCAAGTGTTAATGGCAC,MED12,5.24,114.0,0.14285714300000002,0,PLX_2uM,0.2768409636267861 -3887,CAGGGTCATAAATGTGAAGCCCCAGGGCAT,NF2,40.34,240.0,0.67264574,0,PLX_2uM,0.6208019125458474 -3888,AGAAGTCATCAACTGTCTCATCCCGGGGCC,CD45,49.2,556.0,0.660649819,0,nodrug,0.5134608376281289 -3889,AGATGTCATCACGTGTGAGCCACAGGGCTC,MED12,75.93,1653.0,0.8593073590000001,1,AZD_200nM,0.6246431486842093 -3890,AGATGTCATCACGTGTGAGCCACAGGGCTC,MED12,75.93,1653.0,0.896103896,1,PLX_2uM,0.6246431486842093 -3891,CTGGGTCATCGGCAGGATCATCAAAGGGAG,MED12,29.31,638.0,0.541125541,0,AZD_200nM,0.5804253390216081 -3892,CTGGGTCATCGGCAGGATCATCAAAGGGAG,MED12,29.31,638.0,0.49891774899999997,0,PLX_2uM,0.5804253390216081 -3893,TGCAGTCCAAAGAACCAGGTTTCTCGGAGC,NF2,9.75,58.0,0.331838565,0,PLX_2uM,0.44044499416331695 -3894,CCCCGTCCAACCTGCCCATGCCAGAGGGTA,MED12,18.7,407.0,0.826839827,1,AZD_200nM,0.6330431307687049 -3895,CCCCGTCCAACCTGCCCATGCCAGAGGGTA,MED12,18.7,407.0,0.838744589,1,PLX_2uM,0.6330431307687049 -3896,TTTGGTCCAAGGTGGTGGCCGAGGCGGGGT,CD13,6.31,61.0,0.304395604,0,nodrug,0.4764478405031064 -3897,CTGTGTCCAGAAGGGCAAATCCAAAGGCCA,CD45,1.15,13.0,0.678700361,0,nodrug,0.6058489452525668 -3898,TGTAGTCCAGCAGCTACCTGGGGCTGGGAC,MED12,98.07,2135.0,0.11147186099999999,0,AZD_200nM,0.10002817917649164 -3899,TGTAGTCCAGCAGCTACCTGGGGCTGGGAC,MED12,98.07,2135.0,0.067099567,0,PLX_2uM,0.10002817917649164 -3900,ACTGGTCCAGCCGCCCTCGGCCTCGGGCCC,TADA2B,15.71,66.0,0.705263158,0,AZD_200nM,0.4284152415708445 -3901,CACTGTCCAGGAAACAGGGGCTGGTGGCAT,CD15,67.17,356.0,0.772893773,0,nodrug,0.5837045530814385 -3902,CCATGTCCAGGCTCATGGATTTCCTGGCTC,NF1,88.76,2520.0,0.09375,0,PLX_2uM,0.16598507794298517 -3903,CCATGTCCATAGGTGGGGGCCTGCTGGTGC,MED12,91.96,2002.0,0.128787879,0,AZD_200nM,0.15716832874810718 -3904,CCATGTCCATAGGTGGGGGCCTGCTGGTGC,MED12,91.96,2002.0,0.071428571,0,PLX_2uM,0.15716832874810718 -3905,CGGCGTCCATGGTGACGATCCTCACGGTGA,NF2,4.2,25.0,0.8071748879999999,1,PLX_2uM,0.625074842351973 -3906,TTCAGTCCATGGTGGTTGATCTTAAGGTAA,NF1,12.43,353.0,0.06929347799999999,0,PLX_2uM,0.3607079597613434 -3907,ACCAGTCCATGTGTGGAAGCTCTAAGGGAG,NF1,74.64,2119.0,0.17527173899999998,0,PLX_2uM,0.31541278237991305 -3908,GGTGGTCCCACAGGTTCAGGTAGATGGTGT,CD13,53.15,514.0,0.20989011,0,nodrug,0.40189651096541207 -3909,AGTGGTCCCATTGTGGTGCACTGCAGGTAA,CD45,60.09,679.0,0.523465704,0,nodrug,0.4957126883332056 -3910,AACTGTCCCCTCAGGTGGGGAGGATGGGCA,MED12,37.21,810.0,0.07792207799999999,0,AZD_200nM,0.3991310793362333 -3911,AACTGTCCCCTCAGGTGGGGAGGATGGGCA,MED12,37.21,810.0,0.076839827,0,PLX_2uM,0.3991310793362333 -3912,ACCTGTCCCGGTAACTGGAACGGAAGGCAA,NF1,76.75,2179.0,0.618206522,0,PLX_2uM,0.5271078833382346 -3913,AAGGGTCCCTTCAATCTTCTCCTTGGGTGG,MED12,32.89,716.0,0.159090909,0,AZD_200nM,0.33651167435894597 -3914,AAGGGTCCCTTCAATCTTCTCCTTGGGTGG,MED12,32.89,716.0,0.175324675,0,PLX_2uM,0.33651167435894597 -3915,TCCTGTCCGAGGACGTATTCAAGCAGGGCC,CD13,51.4,497.0,0.18021978,0,nodrug,0.5404205921165057 -3916,CTGTGTCCTCCAACTCCTGTATGAAGGAAG,CD45,69.03,780.0,0.682310469,0,nodrug,0.516482049369516 -3917,CCCTGTCCTCCTCCAGCAGCAACAAGGAGC,CD13,39.09,378.0,0.423076923,0,nodrug,0.6117852497384818 -3918,TCAGGTCCTCTTCTAAAGCCAAGGTGGCAG,NF1,60.97,1731.0,0.642663043,0,PLX_2uM,0.7131936464818545 -3919,AATGGTCCTGGCTCAGCCTCCAACTGGAAC,CD5,12.75,63.0,0.677824268,0,nodrug,0.4537464942894663 -3920,AGTAGTCCTGGGGCCCAGGGAGGTGGGGGC,CD33,51.1,186.0,0.244588745,0,nodrug,0.3864467425361442 -3921,TCTGGTCCTGGTTGAGGATGAGGCAGGCAT,MED12,43.04,937.0,0.845238095,1,AZD_200nM,0.6043239984702978 -3922,TCTGGTCCTGGTTGAGGATGAGGCAGGCAT,MED12,43.04,937.0,0.7813852809999999,0,PLX_2uM,0.6043239984702978 -3923,GCCTGTCCTTGGCCTTGTAGAGGATGGTGC,CD5,37.65,186.0,0.8117154809999999,1,nodrug,0.5215483678312788 -3924,CGTAGTCGAACTCACTGACAATGAAGGCCA,CD13,29.27,283.0,0.821978022,1,nodrug,0.5804919456049609 -3925,CCATGTCGAATCTGAGCAAAGGCACGGGCA,CUL3,0.91,7.0,0.37012987,0,PLX_2uM,0.5790697671235262 -3926,TGCGGTCGAGGAAAAGCAGGTACGAGGCCA,CD15,88.87,471.0,0.871794872,1,nodrug,0.5697634711540717 -3927,GGGAGTCGAGGGTGTGCTGCTAGTTGGGGG,MED12,15.57,339.0,0.07359307400000001,0,AZD_200nM,0.3392203451923679 -3928,GGGAGTCGAGGGTGTGCTGCTAGTTGGGGG,MED12,15.57,339.0,0.06601731599999999,0,PLX_2uM,0.3392203451923679 -3929,GGGCGTCGCCAACCCCGTCGCGACCGGTGG,CD15,35.28,187.0,0.33699633700000003,0,nodrug,0.4229734843170125 -3930,CGAGGTCGCGGTGGTGGAAAAGCACGGCCT,CD15,44.53,236.0,0.974358974,1,nodrug,0.6399409579766225 -3931,CATCGTCGTCCTCTGCAGACTGTCTGGGCT,CD43,5.32,21.0,0.079710145,0,nodrug,0.2860484063108068 -3932,GATGGTCGTGTCTTCACAGTACTCTGGGGA,MED12,13.0,283.0,0.53030303,0,AZD_200nM,0.47276778562557464 -3933,GATGGTCGTGTCTTCACAGTACTCTGGGGA,MED12,13.0,283.0,0.49134199100000003,0,PLX_2uM,0.47276778562557464 -3934,CCAAGTCTCACATCAACATTGCAGAGGAGA,MED12,51.22,1115.0,0.7781385279999999,0,AZD_200nM,0.6886091544625902 -3935,CCAAGTCTCACATCAACATTGCAGAGGAGA,MED12,51.22,1115.0,0.760822511,0,PLX_2uM,0.6886091544625902 -3936,AAAAGTCTCTCTCTCATAGGAGCCAGGAGA,NF1,77.18,2191.0,0.25951087,0,PLX_2uM,0.4473736976985243 -3937,TACTGTCTCTCTTCAATCAGGAAGAGGGTG,CD13,70.84,685.0,0.7065934070000001,0,nodrug,0.5547386908294736 -3938,CAGTGTCTGAATCAAATGTTCTCTTGGATG,NF1,91.72,2604.0,0.11277173900000001,0,PLX_2uM,0.20626361090917922 -3939,ATTTGTCTGACACAGACTCCCTACAGGAAT,NF1,29.38,834.0,0.24864130399999998,0,PLX_2uM,0.5849007673441645 -3940,TCAGGTCTGCTGTGATGGGTCACATGGGCC,H2-K,56.91,210.0,0.467455621,0,nodrug,0.4215139301098221 -3941,TTTGGTCTGGGCTTGTCGGCAAATCGGGGG,NF1,23.95,680.0,0.006793478,0,PLX_2uM,0.2942176043496117 -3942,TGTGGTCTGTCACGCGGTTGGGGATGGTGT,TADA2B,30.71,129.0,0.268421053,0,AZD_200nM,0.3796174895584085 -3943,GGGAGTCTGTGTCAGACAAATCTATGGATC,NF1,29.13,827.0,0.676630435,0,PLX_2uM,0.43097849143189254 -3944,GACCGTCTGTGTGCTGGCGGCCGCCGGCTT,CD15,29.81,158.0,0.6739926740000001,0,nodrug,0.4022189611764981 -3945,TGGGGTCTTCTGGAAGTGGGGTGCTGGGAC,CD13,26.47,256.0,0.17252747300000001,0,nodrug,0.21840172421337387 -3946,TGTAGTGAACAGGACTCTGAGCCAGGGGCC,MED12,53.61,1167.0,0.869047619,1,AZD_200nM,0.6379670411076853 -3947,TGTAGTGAACAGGACTCTGAGCCAGGGGCC,MED12,53.61,1167.0,0.857142857,1,PLX_2uM,0.6379670411076853 -3948,CTGAGTGAAGGCACTGTTACCCTCTGGCAT,MED12,18.79,409.0,0.88961039,1,AZD_200nM,0.6474967335036669 -3949,CTGAGTGAAGGCACTGTTACCCTCTGGCAT,MED12,18.79,409.0,0.9058441559999999,1,PLX_2uM,0.6474967335036669 -3950,GGCTGTGACAGTTCCCAGCGGGTCCGGATA,NF1,64.42,1829.0,0.987771739,1,PLX_2uM,0.5849577105581796 -3951,TGTAGTGAGACACAGCTCCCGTTCGGGGCC,CD5,48.79,241.0,0.326359833,0,nodrug,0.36209660910190583 -3952,TACTGTGAGGTACCTAAGAATGTCAGGTCT,MED12,36.98,805.0,0.24675324699999998,0,AZD_200nM,0.5394483090409431 -3953,TACTGTGAGGTACCTAAGAATGTCAGGTCT,MED12,36.98,805.0,0.188311688,0,PLX_2uM,0.5394483090409431 -3954,GCAAGTGAGGTCATGGAATTAGAAAGGTTA,NF1,97.89,2779.0,0.0027173909999999996,0,PLX_2uM,0.24506946182279404 -3955,AGGAGTGAGTAGTCCTGGGGCCCAGGGAGG,CD33,51.65,188.0,0.7662337659999999,0,nodrug,0.5653237101268759 -3956,GCTTGTGATACTTCATCCCTTCTGGGGAAG,CD45,86.73,980.0,0.440433213,0,nodrug,0.49706345480243486 -3957,GGATGTGATCACAATTCGTAATAAAGGATC,NF1,45.97,1305.0,0.05298913,0,PLX_2uM,0.3689962747489101 -3958,GAACGTGATCGACAAAAGCAGAAGAGGTAA,MED12,67.57,1471.0,0.590909091,0,AZD_200nM,0.5703755671869051 -3959,GAACGTGATCGACAAAAGCAGAAGAGGTAA,MED12,67.57,1471.0,0.6634199129999999,0,PLX_2uM,0.5703755671869051 -3960,TCAGGTGATCTCTGGCTGTGAAGTGGGGTC,H2-K,33.33,123.0,0.7218934909999999,0,nodrug,0.495611394760534 -3961,CTTGGTGATGATCTGAGTCCATTCTGGAGG,MED12,8.54,186.0,0.369047619,0,AZD_200nM,0.32732109347528116 -3962,CTTGGTGATGATCTGAGTCCATTCTGGAGG,MED12,8.54,186.0,0.325757576,0,PLX_2uM,0.32732109347528116 -3963,TGAGGTGCACCACCAGGTACTCGGTGGGCT,CD13,16.55,160.0,0.68021978,0,nodrug,0.6624228279261387 -3964,CCTGGTGCACCTGGCTGTAGAGGGAGGTAA,MED12,69.04,1503.0,0.5670995670000001,0,AZD_200nM,0.6485651178366212 -3965,CCTGGTGCACCTGGCTGTAGAGGGAGGTAA,MED12,69.04,1503.0,0.554112554,0,PLX_2uM,0.6485651178366212 -3966,TACCGTGCACGCTGCTCCTGCTGTTGGCGG,H2-K,2.44,9.0,0.680473373,0,nodrug,0.6074836205542009 -3967,CCAAGTGCAGAAGCAAAGAAGCGCTGGCAG,NF1,99.54,2826.0,0.038043478,0,PLX_2uM,0.1835723286584346 -3968,GCCAGTGCATCCACTGCCATCACGCGGTAC,CD13,45.81,443.0,0.958241758,1,nodrug,0.7485818276388709 -3969,ACCTGTGCCATCTGGTCCTGGTTGAGGATG,MED12,43.18,940.0,0.643939394,0,AZD_200nM,0.5009271634868218 -3970,ACCTGTGCCATCTGGTCCTGGTTGAGGATG,MED12,43.18,940.0,0.614718615,0,PLX_2uM,0.5009271634868218 -3971,TTATGTGCCCTCAGCACCGGCCCCTGGTTT,MED12,16.4,357.0,0.113636364,0,AZD_200nM,0.5074641927973091 -3972,TTATGTGCCCTCAGCACCGGCCCCTGGTTT,MED12,16.4,357.0,0.137445887,0,PLX_2uM,0.5074641927973091 -3973,GTTGGTGCCGTGGTCCTGGGGCCGTGGGGT,CD33,55.77,203.0,0.090909091,0,nodrug,0.35820777339677123 -3974,TCCTGTGCCTGCAGAAGGAGTTGGGGGAGC,MED12,74.6,1624.0,0.5129870129999999,0,AZD_200nM,0.540189144799876 -3975,TCCTGTGCCTGCAGAAGGAGTTGGGGGAGC,MED12,74.6,1624.0,0.284632035,0,PLX_2uM,0.540189144799876 -3976,CACAGTGCCTGGGGCCAGGCCCGCTGGGTT,CD5,75.51,373.0,0.075313808,0,nodrug,0.25085585570724106 -3977,TGGAGTGCTGCCCACAACCATGACTGGCGT,MED12,86.45,1882.0,0.537878788,0,AZD_200nM,0.48214806677027716 -3978,TGGAGTGCTGCCCACAACCATGACTGGCGT,MED12,86.45,1882.0,0.503246753,0,PLX_2uM,0.48214806677027716 -3979,GGGTGTGCTGCTAGTTGGGGGCTGAGGAGC,MED12,15.43,336.0,0.25,0,AZD_200nM,0.4727310915912766 -3980,GGGTGTGCTGCTAGTTGGGGGCTGAGGAGC,MED12,15.43,336.0,0.20887445899999998,0,PLX_2uM,0.4727310915912766 -3981,TTCAGTGCTTTGATGTAATCCAGCAGGTCA,HPRT1,36.24,79.0,0.578125,0,6TG_2ug/mL,0.5412844544277308 -3982,CCGTGTGGAACTCTCTGAAATAAATGGAGA,CD45,46.46,525.0,0.036101083,0,nodrug,0.3246744214034886 -3983,ATTGGTGGAACTGGTCACAATGATGGGTGA,NF1,42.76,1214.0,0.831521739,1,PLX_2uM,0.6025222666562354 -3984,ATGTGTGGAAGCTCTAAGGGAGAGCGGACC,NF1,74.57,2117.0,0.735054348,0,PLX_2uM,0.6027030626937586 -3985,CCCAGTGGAAGGCCAACCCGGAGACGGACC,CCDC101,75.43,221.0,0.718120805,0,AZD_200nM,0.47712926855811644 -3986,CGACGTGGAAGTCTGTGTCGGGAATGGGAA,CD28,31.65,69.0,0.081081081,0,nodrug,0.46833697539391256 -3987,CCGAGTGGACCGGCGAGTGGCTCGAGGAGA,MED12,78.78,1715.0,0.423160173,0,AZD_200nM,0.5216013757692648 -3988,CCGAGTGGACCGGCGAGTGGCTCGAGGAGA,MED12,78.78,1715.0,0.40259740299999996,0,PLX_2uM,0.5216013757692648 -3989,CCGAGTGGACCTGAGGACCCTGCTCGGCTA,H2-K,27.64,102.0,0.7633136090000001,0,nodrug,0.5949207372347571 -3990,AAACGTGGACGGCGGCGGACATGGCGGCGC,H2-K,43.09,159.0,0.6686390529999999,0,nodrug,0.6544557603824516 -3991,GACCGTGGACGTGTTCGGCCGGGGCGGGCC,CD15,73.21,388.0,0.6996336999999999,0,nodrug,0.5374910014533058 -3992,TAATGTGGAGAACGTCTACAATTTGGGATT,CUL3,18.36,141.0,0.428571429,0,PLX_2uM,0.3653058221721262 -3993,CTACGTGGAGAAGCAGGCATCCAATGGTGT,CD13,30.51,295.0,0.8890109890000001,1,nodrug,0.6259582793758058 -3994,TGCTGTGGATGATGATGACGTCAGTGGCCT,CD13,12.2,118.0,0.784615385,0,nodrug,0.6888430105025403 -3995,CGCCGTGGCCCGCCGCAATGGCACTGGGCC,CD13,31.85,308.0,0.32857142899999997,0,nodrug,0.2892030655191706 -3996,ATGGGTGGCGTACTGCACGTGTCGTGGCTG,MED12,33.58,731.0,0.95995671,1,AZD_200nM,0.6304010109651959 -3997,ATGGGTGGCGTACTGCACGTGTCGTGGCTG,MED12,33.58,731.0,0.9134199129999999,1,PLX_2uM,0.6304010109651959 -3998,GGCAGTGGCTCCAGGTAATAGGCGCGGGGC,MED12,79.74,1736.0,0.37229437200000004,0,AZD_200nM,0.5159672381594931 -3999,GGCAGTGGCTCCAGGTAATAGGCGCGGGGC,MED12,79.74,1736.0,0.409090909,0,PLX_2uM,0.5159672381594931 -4000,CTCTGTGGCTGAGCAGCAGCAGCTGGGCTA,TADA2B,38.81,163.0,0.8842105259999999,1,AZD_200nM,0.5689977264397326 -4001,GGTAGTGGCTGGTTCTGGGTGTACAGGCCT,MED12,84.61,1842.0,0.32683982699999997,0,AZD_200nM,0.3792188742770659 -4002,GGTAGTGGCTGGTTCTGGGTGTACAGGCCT,MED12,84.61,1842.0,0.297619048,0,PLX_2uM,0.3792188742770659 -4003,GGCAGTGGGATTACACCGAGAAGCTGGCCA,MED12,10.93,238.0,0.313852814,0,AZD_200nM,0.5574644127131214 -4004,GGCAGTGGGATTACACCGAGAAGCTGGCCA,MED12,10.93,238.0,0.306277056,0,PLX_2uM,0.5574644127131214 -4005,TCATGTGGGATTGCAGCAACACACAGGCCC,MED12,89.85,1956.0,0.420995671,0,AZD_200nM,0.45584288153952357 -4006,TCATGTGGGATTGCAGCAACACACAGGCCC,MED12,89.85,1956.0,0.308441558,0,PLX_2uM,0.45584288153952357 -4007,TGAGGTGGGCAGTTTAGCAATGAGGGGGGC,MED12,65.78,1432.0,0.9285714290000001,1,AZD_200nM,0.7030076526447517 -4008,TGAGGTGGGCAGTTTAGCAATGAGGGGGGC,MED12,65.78,1432.0,0.988095238,1,PLX_2uM,0.7030076526447517 -4009,ACCTGTGGGCTCCGGCACGGTGGTGGGTGG,CD5,30.16,149.0,0.447698745,0,nodrug,0.4687123396277634 -4010,TCAGGTGGGGAGGATGGGCAGAAGCGGCGA,MED12,37.39,814.0,0.439393939,0,AZD_200nM,0.5591751202439951 -4011,TCAGGTGGGGAGGATGGGCAGAAGCGGCGA,MED12,37.39,814.0,0.542207792,0,PLX_2uM,0.5591751202439951 -4012,CACCGTGGGGCTCGCCGACGGCGGCGGCGG,CD15,25.47,135.0,0.21978022,0,nodrug,0.36256952983857427 -4013,GAGTGTGGGTACCTACCATCACAAAGGATG,CD45,75.13,849.0,0.794223827,0,nodrug,0.6666120366297524 -4014,GGTGGTGGGTGGGGTGGTTGTGGGTGGAGG,CD5,28.95,143.0,0.225941423,0,nodrug,0.4319567632941629 -4015,CAGGGTGGTCCTGCGTGGTGTGGGAGGCTC,CD13,14.68,142.0,0.584615385,0,nodrug,0.564078760540389 -4016,CGGGGTGGTGAGGCTGGGTGAGAGGGGGCC,TADA2B,34.29,144.0,0.384210526,0,AZD_200nM,0.400287217861968 -4017,CCTGGTGGTGCTGCTGGCCATGTGTGGTCC,CD5,79.96,395.0,0.648535565,0,nodrug,0.4905522843166815 -4018,GGCGGTGGTGGCCGATCTCGGCGCCGGCCG,TADA2B,9.52,40.0,0.652631579,0,AZD_200nM,0.4987591549373318 -4019,CACGGTGGTGGGTGGGGTGGTTGTGGGTGG,CD5,29.15,144.0,0.19665272,0,nodrug,0.4163868104839104 -4020,TTAGGTGGTGTTGATCTTACAGTCCGGGTG,CUL3,65.76,505.0,0.668831169,0,PLX_2uM,0.5088414157973845 -4021,AGGAGTGGTTCATGGGGCCATTGGAGGAGC,CD33,71.98,262.0,0.662337662,0,nodrug,0.533987212699049 -4022,CTCCGTGTACAGAAGTAGGCAAGCCGGCGG,MED12,13.64,297.0,0.954545455,1,AZD_200nM,0.6580767921125198 -4023,CTCCGTGTACAGAAGTAGGCAAGCCGGCGG,MED12,13.64,297.0,0.930735931,1,PLX_2uM,0.6580767921125198 -4024,ATATGTGTATACTTTGCGATCCTCAGGTGT,CUL3,98.96,760.0,0.207792208,0,PLX_2uM,0.293142056686649 -4025,GCCTGTGTATCCAGAAACTGCAGGAGGACA,MED12,26.23,571.0,0.891774892,1,AZD_200nM,0.7345312412478959 -4026,GCCTGTGTATCCAGAAACTGCAGGAGGACA,MED12,26.23,571.0,0.834415584,1,PLX_2uM,0.7345312412478959 -4027,GTGAGTGTATGAGTTCCTATTTGAGGGAGC,CUL3,41.8,321.0,0.38961039,0,PLX_2uM,0.5347933618118554 -4028,CGCCGTGTCATCCCGCTGCCCCAGTGGAAG,CCDC101,73.38,215.0,0.738255034,0,AZD_200nM,0.543953348662433 -4029,CTCTGTGTCCTGGGCCTGTGAGCAGGGAAC,CD33,46.7,170.0,0.597402597,0,nodrug,0.5720945612509084 -4030,AGAGGTGTCTGATGGTGCAAGTGGAGGTAC,CD45,64.07,724.0,0.880866426,1,nodrug,0.6956707241543136 -4031,TGCGGTGTCTTGAAAAGGTGAAGGAGGATG,MED12,54.07,1177.0,0.989177489,1,AZD_200nM,0.7234394022711448 -4032,TGCGGTGTCTTGAAAAGGTGAAGGAGGATG,MED12,54.07,1177.0,0.9718614720000001,1,PLX_2uM,0.7234394022711448 -4033,TACGGTGTGAACTACTTTGCAATCCGGGTG,NF2,37.65,224.0,0.385650224,0,PLX_2uM,0.4769241718459474 -4034,CCCTGTGTGACAGTTCTGCAGCCAGGGGCC,CD5,61.94,306.0,0.28033472800000003,0,nodrug,0.42371680685637003 -4035,TGCAGTGTGCAAACAGCTGAGATGTGGTGA,CD5,17.0,84.0,0.937238494,1,nodrug,0.6889338138889363 -4036,CACTGTGTGCAGGAGCCCAATTTCGGGCAC,CD15,75.09,398.0,0.186813187,0,nodrug,0.31473158506877996 -4037,GGCAGTGTGCGCCTGGATGCCCCAGGGCGG,CD15,47.92,254.0,0.853479853,1,nodrug,0.59804311285984 -4038,TCAAGTGTGGCGGCATAAGCCTGCTGGTTC,THY1,83.95,136.0,0.48387096799999996,0,nodrug,0.48400568988068665 -4039,ACAGGTGTGGTCTGTCACGCGGTTGGGGAT,TADA2B,31.19,131.0,0.252631579,0,AZD_200nM,0.3198271025970417 -4040,AATGGTGTGTAACCATGAGAAAGTGGGACT,NF1,31.98,908.0,0.963315217,1,PLX_2uM,0.7371443447986838 -4041,CTTGGTGTGTTGGGGGATAGAGTCGGGCTG,NF1,64.74,1838.0,0.8451086959999999,1,PLX_2uM,0.5853732579101307 -4042,AGGTGTGTTATAGAACCAGGGTTTGGGTGG,MED12,83.83,1825.0,0.239177489,0,AZD_200nM,0.3145978321060927 -4043,AGGTGTGTTATAGAACCAGGGTTTGGGTGG,MED12,83.83,1825.0,0.22077922100000003,0,PLX_2uM,0.3145978321060927 -4044,GGACGTGTTCGGCCGGGGCGGGCCGGGGCA,CD15,73.58,390.0,0.157509158,0,nodrug,0.18291058806337762 -4045,CGCTGTGTTGGTTTACCACAGGCGAGGGAC,CUL3,82.68,635.0,0.435064935,0,PLX_2uM,0.5739796118413817 -4046,CACTGTTACAGTGGCCAGTGGTAGGGGAGA,NF1,98.77,2804.0,0.013586957,0,PLX_2uM,0.1620514591839308 -4047,CGTTGTTACTTTCTTAGTAGCCACAGGTCC,NF1,74.39,2112.0,0.480978261,0,PLX_2uM,0.46560507153869884 -4048,TCTCGTTAGAGCTTGTTGTCACAGTGGTGG,CD43,41.01,162.0,0.623188406,0,nodrug,0.6841424244588736 -4049,ACATGTTAGCACCAGCGATAAGAAGGGCTG,MED12,68.08,1482.0,0.583333333,0,AZD_200nM,0.6605802674451519 -4050,ACATGTTAGCACCAGCGATAAGAAGGGCTG,MED12,68.08,1482.0,0.562770563,0,PLX_2uM,0.6605802674451519 -4051,CGCAGTTAGCAGTTATAAATAGCCTGGAAA,NF1,7.57,215.0,0.10869565199999999,0,PLX_2uM,0.5365362949541918 -4052,AGAAGTTATCCTTCTGGTTCACTTGGGGCT,MED12,4.41,96.0,0.546536797,0,AZD_200nM,0.49821477442806383 -4053,AGAAGTTATCCTTCTGGTTCACTTGGGGCT,MED12,4.41,96.0,0.5324675320000001,0,PLX_2uM,0.49821477442806383 -4054,CTCCGTTATGGCGACCCGCAGCCCTGGCGT,HPRT1,2.29,5.0,0.875,1,6TG_2ug/mL,0.5469274801801473 -4055,AGTTGTTATTAAGAAACGTATTGAAGGACT,CUL3,97.01,745.0,0.753246753,0,PLX_2uM,0.3402189985829096 -4056,CAAGGTTCAGAGCCGCCTGGTCGGGGGCAG,CD5,56.48,279.0,0.656903766,0,nodrug,0.5677437196114099 -4057,AGCGGTTCATGATGTCCCGCACGGTGGTGG,CD13,55.43,536.0,0.978021978,1,nodrug,0.7414628816353798 -4058,CAGGGTTCCACAGAAACATGTACAGGGCCA,NF1,24.37,692.0,0.891304348,1,PLX_2uM,0.7503101077770721 -4059,GTTTGTTCCCTTAGTGCTGGTGTTGGGCGT,CD45,60.44,683.0,0.714801444,0,nodrug,0.5240786777003368 -4060,GTCTGTTCCTTCTACTATTTGTCTAGGGGG,CD28,81.19,177.0,0.43243243200000003,0,nodrug,0.3308168091477195 -4061,GTGAGTTCGACTACGTGGAGAAGCAGGCAT,CD13,30.2,292.0,0.702197802,0,nodrug,0.5791580254858235 -4062,TTCTGTTCGTCAGAAATTTGATGTAGGTTG,TADA1,32.84,110.0,0.357798165,0,AZD_200nM,0.5142727470414927 -4063,CCGGGTTCTAGAGTGCCAGGGATGAGGATT,CD33,40.93,149.0,0.5,0,nodrug,0.5565860716589615 -4064,TTATGTTCTATGCCCTCAGGATCCAGGGCT,MED12,30.27,659.0,0.149350649,0,AZD_200nM,0.40924390512730585 -4065,TTATGTTCTATGCCCTCAGGATCCAGGGCT,MED12,30.27,659.0,0.10822510800000001,0,PLX_2uM,0.40924390512730585 -4066,GCTGGTTCTGGGTGTACAGGCCTATGGAGC,MED12,84.52,1840.0,0.524891775,0,AZD_200nM,0.46276238682590043 -4067,GCTGGTTCTGGGTGTACAGGCCTATGGAGC,MED12,84.52,1840.0,0.519480519,0,PLX_2uM,0.46276238682590043 -4068,ATTGGTTCTTCCGTTGATTTGTCAAGGCAG,CUL3,32.94,253.0,0.616883117,0,PLX_2uM,0.5205958089226889 -4069,GGGAGTTCTTGTCGTAGTAGGGTATGGGAT,CD33,13.19,48.0,0.885281385,1,nodrug,0.4822446363813989 -4070,ATTTGTTCTTTAAATGGCTACAGGAGGTGT,MED12,45.11,982.0,0.8712121209999999,1,AZD_200nM,0.6810075389236393 -4071,ATTTGTTCTTTAAATGGCTACAGGAGGTGT,MED12,45.11,982.0,0.862554113,1,PLX_2uM,0.6810075389236393 -4072,GAACGTTGAACTCTCCCCTACCACTGGCCA,NF1,98.77,2804.0,0.184782609,0,PLX_2uM,0.2734212920081623 -4073,CTCGGTTGAACTTCGAAATATGTTTGGTGA,NF1,15.57,442.0,0.275815217,0,PLX_2uM,0.4728722321056662 -4074,GCGTGTTGATCTCCGAGGCGGGTGTGGACA,CD13,47.36,458.0,0.640659341,0,nodrug,0.4801537317220372 -4075,CTCAGTTGATTATATTGGATACACTGGAAA,NF1,3.13,89.0,0.794836957,0,PLX_2uM,0.5239638986225679 -4076,CTTGGTTGCAGGGATGGATTATATTGGAAT,NF1,78.9,2240.0,0.221467391,0,PLX_2uM,0.2757203843764699 -4077,TCTTGTTGCCCTTGGTATCGATAAGGGAGC,MED12,76.16,1658.0,0.430735931,0,AZD_200nM,0.3905040569053518 -4078,TCTTGTTGCCCTTGGTATCGATAAGGGAGC,MED12,76.16,1658.0,0.384199134,0,PLX_2uM,0.3905040569053518 -4079,CCTCGTTGCTATCTACCACAAGCAGGGGCG,CD28,13.76,30.0,1.0,1,nodrug,0.6568762554435067 -4080,ACGCGTTGCTCGCTGGGGCGGTGCCGGTGG,CD15,82.26,436.0,0.706959707,0,nodrug,0.3415615024002296 -4081,CCTTGTTGCTGCTGGAGGAGGACAGGGGGT,CD13,38.57,373.0,0.6725274729999999,0,nodrug,0.4397485875595401 -4082,GACCGTTGCTGTTCTGGTTGTCCTTGGAGC,H2-K,84.82,313.0,0.615384615,0,nodrug,0.3807352435016472 -4083,GCGTGTTGGACTACGAGGAGGCAGCGGCGG,CD15,51.51,273.0,0.48351648399999997,0,nodrug,0.5803473336002881 -4084,CTCCGTTGGAGCAGGCGGTGCTGATGGCAT,CD13,78.39,758.0,0.881318681,1,nodrug,0.43522826446046 -4085,TGGTGTTGGAGGTGCACAAGTAACTGGCTC,CUL3,75.78,582.0,0.487012987,0,PLX_2uM,0.389348099001325 -4086,AGCTGTTGGCGAAGGCGCTGTCCTTGGGGC,MED12,87.64,1908.0,0.187229437,0,AZD_200nM,0.30285489635010443 -4087,AGCTGTTGGCGAAGGCGCTGTCCTTGGGGC,MED12,87.64,1908.0,0.16883116899999998,0,PLX_2uM,0.30285489635010443 -4088,CGGGGTTGGCGACGCCCAGGGCAGCGGCGG,CD15,33.77,179.0,0.39926739899999997,0,nodrug,0.3363968440526848 -4089,TCCAGTTGGGGTCTTCTGGAAGTGGGGTGC,CD13,26.68,258.0,0.615384615,0,nodrug,0.6159847399545161 -4090,ATATGTTGGTACTGGGCTGTGGCTGGGTAT,MED12,99.54,2167.0,0.20562770600000002,0,AZD_200nM,0.19128848580960892 -4091,ATATGTTGGTACTGGGCTGTGGCTGGGTAT,MED12,99.54,2167.0,0.166666667,0,PLX_2uM,0.19128848580960892 -4092,AGCGGTTGGTCGTACTGTTTGGGGTGGGAA,MED12,34.86,759.0,0.664502165,0,AZD_200nM,0.6111009429596586 -4093,AGCGGTTGGTCGTACTGTTTGGGGTGGGAA,MED12,34.86,759.0,0.572510823,0,PLX_2uM,0.6111009429596586 -4094,CTCAGTTGGTGGTAGTAGCGGACCCGGGCC,CD15,70.0,371.0,0.8241758240000001,1,nodrug,0.47389021882964316 -4095,AGCTGTTGTCTATGCTGTGGAGGTTGGTTT,TADA1,53.73,180.0,0.798165138,0,AZD_200nM,0.5722693436519566 -4096,CCTTGTTGTGCTCAGTACTGACTTTGGTAT,NF1,1.2,34.0,0.862771739,1,PLX_2uM,0.5348569892966112 -4097,ACTTGTTGTGGCCCTGGCAGGTGGGGGGCA,MED12,70.74,1540.0,0.784632035,0,AZD_200nM,0.45940993783882833 -4098,ACTTGTTGTGGCCCTGGCAGGTGGGGGGCA,MED12,70.74,1540.0,0.892857143,1,PLX_2uM,0.45940993783882833 -4099,CTCTGTTTATTCCCAGTGCCCATAAGGTCC,CD13,69.49,672.0,0.182417582,0,nodrug,0.3743619662752384 -4100,CAAAGTTTCAAGTCGTCATCATCTTGGGGA,TADA1,39.4,132.0,0.155963303,0,AZD_200nM,0.4201355039587174 -4101,TCGGGTTTCAGCGTGTTGGGGAGGCGGTAA,CD13,7.86,76.0,0.661538462,0,nodrug,0.519718919749315 -4102,TATTGTTTCTGCCTCTGCAGATACTGGGCT,TADA1,7.76,26.0,0.330275229,0,AZD_200nM,0.33817508094924426 -4103,ATCGGTTTGAGAGATTGGTGGAACTGGTCA,NF1,42.62,1210.0,0.673913043,0,PLX_2uM,0.442818115372623 -4104,TTTGGTTTGCAATCATCTAAGTACTGGTCA,MED12,69.77,1519.0,0.396103896,0,AZD_200nM,0.4433887121178199 -4105,TTTGGTTTGCAATCATCTAAGTACTGGTCA,MED12,69.77,1519.0,0.371212121,0,PLX_2uM,0.4433887121178199 -4106,CTTTGTTTGGAATACATGACTCCATGGCTG,NF1,68.72,1951.0,0.9375,1,PLX_2uM,0.5998563668861457 -4107,ACAGGTTTGTGCTCTGGAGGACCCAGGTAT,NF1,54.49,1547.0,0.631793478,0,PLX_2uM,0.6657319815279322 -4108,GCATGTTTGTGTCATTAGTGAAACTGGAAA,HPRT1,96.33,210.0,0.046875,0,6TG_2ug/mL,0.1603000990856887 -4109,ATTGGTTTGTTATTGCAGATGAAGTGGAAA,NF2,6.72,40.0,0.609865471,0,PLX_2uM,0.6396952585131996 -4110,ATTTTAAAAAACCTACCGTAAACTCGGGTC,NF1,65.83,1869.0,0.327445652,0,PLX_2uM,0.5463577332193668 -4111,GTTCTAAACCCATGACGCCAGTCATGGTTG,MED12,86.5,1883.0,0.542207792,0,AZD_200nM,0.5575676164612507 -4112,GTTCTAAACCCATGACGCCAGTCATGGTTG,MED12,86.5,1883.0,0.508658009,0,PLX_2uM,0.5575676164612507 -4113,TTGCTAAACTGCCCACCTCAGTCCAGGGAC,MED12,66.1,1439.0,0.8993506490000001,1,AZD_200nM,0.5492149007250717 -4114,TTGCTAAACTGCCCACCTCAGTCCAGGGAC,MED12,66.1,1439.0,0.887445887,1,PLX_2uM,0.5492149007250717 -4115,AATTTAAAGAAAAACCTACAGACCTGGAGA,NF1,17.01,483.0,0.953804348,1,PLX_2uM,0.6314878106708164 -4116,ACAATAAAGAGGGTGTTGTTGGCAGGGATA,NF1,67.0,1902.0,0.762228261,0,PLX_2uM,0.6023377325017777 -4117,ATGCTAAAGCACTGATTATATTCCTGGTGT,CD45,36.11,408.0,0.252707581,0,nodrug,0.3566386272664407 -4118,AAGATAAAGTCACCCTGAGGTGCTGGGCCC,H2-K,60.7,224.0,0.621301775,0,nodrug,0.5754053616144711 -4119,GTGGTAAAGTCTCTACGCAAAGCACGGCCT,CD45,91.33,1032.0,0.371841155,0,nodrug,0.55011719896763 -4120,ACCTTAAAGTGTTGGTTGTTGTGAGGGCTT,NF1,13.7,389.0,0.519021739,0,PLX_2uM,0.6155817950630329 -4121,GTTATAAATGTGCAGACAGATTTGGGGAGT,CD45,18.67,211.0,0.873646209,1,nodrug,0.6581596879461297 -4122,TTTTTAAATTAAAGGTACAAGTTAAGGCAC,NF1,66.26,1881.0,0.387228261,0,PLX_2uM,0.4094312339579711 -4123,GCTATAAATTCTTTGCTGACCTGCTGGATT,HPRT1,35.78,78.0,0.015625,0,6TG_2ug/mL,0.3998859513390446 -4124,CATTTAAATTTAAAGCCCTAAAGAAGGTTG,NF1,7.22,205.0,0.7201086959999999,0,PLX_2uM,0.5426523322548918 -4125,GGAATAAATTTCTTCTTAAAAATAAGGTAA,NF1,21.63,614.0,0.051630435,0,PLX_2uM,0.2739072281539001 -4126,CCTTTAACACATGTCCCTGGACTGAGGTGG,MED12,66.1,1439.0,0.8744588740000001,1,AZD_200nM,0.6979374620127693 -4127,CCTTTAACACATGTCCCTGGACTGAGGTGG,MED12,66.1,1439.0,0.8755411259999999,1,PLX_2uM,0.6979374620127693 -4128,CCATTAACACTTGGTTCACTGACTTGGCTG,MED12,5.47,119.0,0.49567099600000003,0,AZD_200nM,0.4870692030238507 -4129,CCATTAACACTTGGTTCACTGACTTGGCTG,MED12,5.47,119.0,0.488095238,0,PLX_2uM,0.4870692030238507 -4130,AGGGTAACAGTGCCTTCACTCAGCAGGTAT,MED12,19.06,415.0,0.576839827,0,AZD_200nM,0.5956519925771103 -4131,AGGGTAACAGTGCCTTCACTCAGCAGGTAT,MED12,19.06,415.0,0.556277056,0,PLX_2uM,0.5956519925771103 -4132,CGGGTAACATTGGAATCGGGGTCAAGGAGG,CD13,58.84,569.0,0.189010989,0,nodrug,0.5411473880605091 -4133,TCAATAACCAGCCTGCTGTCTCTGGGGATG,MED12,2.39,52.0,0.607142857,0,AZD_200nM,0.6658492535332582 -4134,TCAATAACCAGCCTGCTGTCTCTGGGGATG,MED12,2.39,52.0,0.58008658,0,PLX_2uM,0.6658492535332582 -4135,TTCCTAACCTGCAGTGGACGAGGATGGATG,CD45,87.7,991.0,0.9566787,1,nodrug,0.5844805914519202 -4136,ATTCTAACGTGAGGTGTGGCTCATTGGCTG,NF1,67.59,1919.0,0.743206522,0,PLX_2uM,0.4968929311831165 -4137,TCCTTAACTATCCAAAAGCCAAAATGGAAG,NF1,28.11,798.0,0.190217391,0,PLX_2uM,0.2747575177731417 -4138,GCATTAACTCTCCGTCGAAGTTTGAGGAGC,CD45,58.32,659.0,0.27797833899999996,0,nodrug,0.48335377869813195 -4139,CTGCTAACTGCGCAACCTTCTTTAGGGCTT,NF1,7.22,205.0,0.766304348,0,PLX_2uM,0.3375582291852559 -4140,TCTGTAACTGCTCCCATAAGTACTTGGTGA,MED12,8.87,193.0,0.7359307359999999,0,AZD_200nM,0.6000034661887254 -4141,TCTGTAACTGCTCCCATAAGTACTTGGTGA,MED12,8.87,193.0,0.70995671,0,PLX_2uM,0.6000034661887254 -4142,TCTATAACTGTAACTCCTGGGTCAGGGAGT,NF1,59.39,1686.0,0.860054348,1,PLX_2uM,0.658549070088747 -4143,CAGGTAAGATGTTTGGTATTGTGGTGGGGA,NF1,95.0,2697.0,0.410326087,0,PLX_2uM,0.3481049673771373 -4144,AGTTTAAGCAATTCATCCTCTCCAGGGCGG,MED12,12.31,268.0,0.902597403,1,AZD_200nM,0.6585195876669583 -4145,AGTTTAAGCAATTCATCCTCTCCAGGGCGG,MED12,12.31,268.0,0.906926407,1,PLX_2uM,0.6585195876669583 -4146,AGGGTAAGGACCTTGATATAGGGCTGGTTG,THY1,52.47,85.0,0.5,0,nodrug,0.6036396139946869 -4147,AAGTTAAGGCACACAGAAGATTATAGGCAG,NF1,66.04,1875.0,0.529891304,0,PLX_2uM,0.39397679575806777 -4148,CTGGTAAGGCTGGCTGGAGTAGCTGGGGGG,MED12,90.4,1968.0,0.18073593100000002,0,AZD_200nM,0.16548393436402886 -4149,CTGGTAAGGCTGGCTGGAGTAGCTGGGGGG,MED12,90.4,1968.0,0.18614718600000002,0,PLX_2uM,0.16548393436402886 -4150,CTGGTAAGGCTTTCGAGTGAGCCCAGGCCT,CD28,91.28,199.0,0.45945945899999996,0,nodrug,0.4707809166204486 -4151,TAGTTAAGGTGTGTTATAGAACCAGGGTTT,MED12,83.92,1827.0,0.573593074,0,AZD_200nM,0.5789277303319074 -4152,TAGTTAAGGTGTGTTATAGAACCAGGGTTT,MED12,83.92,1827.0,0.55952381,0,PLX_2uM,0.5789277303319074 -4153,GCTATAAGTATCTTCTCTTGTCCATGGTGA,NF1,17.44,495.0,0.570652174,0,PLX_2uM,0.6136526476375804 -4154,GCATTAATATGGTCATCTGGAAAGTGGAAA,CUL3,77.73,597.0,0.44155844200000005,0,PLX_2uM,0.5419221508883344 -4155,TACCTAATCATTATGCTGAGGATTTGGAAA,HPRT1,14.22,31.0,0.140625,0,6TG_2ug/mL,0.34928817331786477 -4156,CACGTAATGCTCCATCACCTCTTGGGGAGT,TADA2B,25.0,105.0,0.894736842,1,AZD_200nM,0.6582810578033902 -4157,TAATTAATTCTGCTGTACTGCCTTGGGTTT,NF1,18.32,520.0,0.342391304,0,PLX_2uM,0.4563721627928212 -4158,TTCTTACAAAAGAACCCAAATCAAAGGAAA,CUL3,84.64,650.0,0.5519480520000001,0,PLX_2uM,0.5143790702629655 -4159,TACTTACACAACAGGAAAGACTTTGGGAAA,NF1,93.45,2653.0,0.354619565,0,PLX_2uM,0.3077733971933646 -4160,CTGCTACACATGTGTAATTTGTTTGGGCAC,CD45,16.37,185.0,0.202166065,0,nodrug,0.382597695602265 -4161,CAGATACACCTGTCAGCAAATTTATGGATC,NF1,31.49,894.0,0.161684783,0,PLX_2uM,0.2083755218845882 -4162,CGTGTACAGAAGTAGGCAAGCCGGCGGGAC,MED12,13.6,296.0,0.976190476,1,AZD_200nM,0.7104107442038372 -4163,CGTGTACAGAAGTAGGCAAGCCGGCGGGAC,MED12,13.6,296.0,0.939393939,1,PLX_2uM,0.7104107442038372 -4164,AGGATACAGCTGAGGCCAAAAACCAGGGGC,MED12,16.49,359.0,0.808441558,1,AZD_200nM,0.5494722648289914 -4165,AGGATACAGCTGAGGCCAAAAACCAGGGGC,MED12,16.49,359.0,0.7489177490000001,0,PLX_2uM,0.5494722648289914 -4166,ATTATACATTTAAACTTACCCTTCAGGAGT,NF1,6.87,195.0,0.671195652,0,PLX_2uM,0.33002022770077094 -4167,CTGCTACCACAGCAACCAGTTCTGTGGAGA,CD43,53.42,211.0,0.536231884,0,nodrug,0.6715472344365435 -4168,GGTTTACCACAGGCGAGGGACTGTAGGGCT,CUL3,82.29,632.0,0.49350649399999996,0,PLX_2uM,0.510915307456359 -4169,ACCCTACCACAGGGTCAGCCTCCCCGGTGA,CD33,84.34,307.0,0.138528139,0,nodrug,0.4411044130526442 -4170,CGGGTACCAGCAGTACGCCTACGACGGCTG,H2-K,37.67,139.0,0.846153846,1,nodrug,0.6620801607877852 -4171,TCCTTACCAGCCATATCAGTCTGTGGGATC,NF1,8.42,239.0,0.47826087,0,PLX_2uM,0.6337542378734325 -4172,CCAGTACCAGTGTACCACATGGAAAGGGGA,CD45,84.16,951.0,0.176895307,0,nodrug,0.50530967417385 -4173,TTGTTACCGAACATCTCATAAATAAGGTAT,CUL3,11.33,87.0,0.31168831199999997,0,PLX_2uM,0.34496019182990095 -4174,CTTCTACCGCAGCGAGTACATGGAGGGCAA,CD13,20.58,199.0,0.618681319,0,nodrug,0.6705237269383365 -4175,CATGTACCGGGGCTCCCCGAGGCCGGGCCG,H2-K,10.3,38.0,0.100591716,0,nodrug,0.4519103790275589 -4176,GTGCTACCTATCTACAAAAACTCCTGGATC,NF1,45.79,1300.0,0.8111413040000001,1,PLX_2uM,0.5421178932053408 -4177,ACCGTACCTCACCCCCAATGACAGGGGCCT,CD13,10.03,97.0,0.705494505,0,nodrug,0.7112644181826362 -4178,GAAATACCTCAGCGAGTGTGGGCCTGGGGG,H2-K,6.23,23.0,0.082840237,0,nodrug,0.36809835916876715 -4179,GGCATACCTCAGTGTTTCCTGCAGTGGGAT,NF1,27.16,771.0,0.35054347799999996,0,PLX_2uM,0.5088522383349323 -4180,AGAATACCTGACAGACTGGGTTATGGGAAC,NF1,36.95,1049.0,0.482336957,0,PLX_2uM,0.4604008494473053 -4181,TCTTTACCTGCAGTGCACCACAATGGGACC,CD45,59.82,676.0,0.729241877,0,nodrug,0.507606308993608 -4182,GACTTACCTGGCCATCTTCCATTTTGGCTT,NF1,28.14,799.0,0.10326087,0,PLX_2uM,0.15496817899998133 -4183,ATAGTACCTGGGGGATGGGAAAATGGGTGG,MED12,33.9,738.0,0.361471861,0,AZD_200nM,0.4587838781479978 -4184,ATAGTACCTGGGGGATGGGAAAATGGGTGG,MED12,33.9,738.0,0.455627706,0,PLX_2uM,0.4587838781479978 -4185,CGAGTACCTGGTGGTGCACCTCAAGGGCTC,CD13,17.17,166.0,0.31758241800000003,0,nodrug,0.6493994990140795 -4186,ATGTTACCTTAAGATCAACCACCATGGACT,NF1,12.33,350.0,0.826086957,1,PLX_2uM,0.6914803406151109 -4187,TTGATACCTTATTTATGAGATGTTCGGTAA,CUL3,10.94,84.0,0.597402597,0,PLX_2uM,0.4573870835014739 -4188,CTTGTACCTTTAATTTAAAAATCGAGGGCC,NF1,66.5,1888.0,0.285326087,0,PLX_2uM,0.46434505048074004 -4189,CAACTACGAGCGCTTTGTGCCCCGCGGCGC,CD15,85.28,452.0,0.95970696,1,nodrug,0.6197433393676858 -4190,TTCTTACGCCGTCCAGGCCAAGGTAGGCTC,NF2,25.04,149.0,0.9192825109999999,1,PLX_2uM,0.6044549442546816 -4191,GCGGTACGCTGCAAAGTCTCTGGCAGGGGC,CD28,96.79,211.0,0.21621621600000002,0,nodrug,0.32413261180454084 -4192,TGAATACGTCCTCGGACAGGAAGCTGGAGA,CD13,50.67,490.0,0.10769230800000001,0,nodrug,0.5146393867846101 -4193,GCATTACGTGAGCATGTACATCCACGGGAA,TADA2B,27.38,115.0,0.8526315790000001,1,AZD_200nM,0.6333188356502876 -4194,GTCTTACTAATAGAGACAATAAAGAGGGTG,NF1,67.17,1907.0,0.854619565,1,PLX_2uM,0.6053263807316234 -4195,TGAATACTACCGGCCAGGGCCTGCAGGAAG,MED12,9.6,209.0,0.548701299,0,AZD_200nM,0.49293244381008705 -4196,TGAATACTACCGGCCAGGGCCTGCAGGAAG,MED12,9.6,209.0,0.425324675,0,PLX_2uM,0.49293244381008705 -4197,TTTCTACTATAGTCTTCATGTGCTTGGAAA,CUL3,35.42,272.0,0.11038961,0,PLX_2uM,0.35518591533297195 -4198,CCCCTACTATGCCCTGTGAGGGGAAGGGCA,MED12,31.92,695.0,0.642857143,0,AZD_200nM,0.44286283052891523 -4199,CCCCTACTATGCCCTGTGAGGGGAAGGGCA,MED12,31.92,695.0,0.7186147190000001,0,PLX_2uM,0.44286283052891523 -4200,GCACTACTCAACACTGGGTCTTGCAGGTCA,MED12,60.08,1308.0,0.075757576,0,AZD_200nM,0.368831635919329 -4201,GCACTACTCAACACTGGGTCTTGCAGGTCA,MED12,60.08,1308.0,0.028138528,0,PLX_2uM,0.368831635919329 -4202,GCTATACTCCTTATGTTTCTCATGTGGGAT,MED12,89.57,1950.0,0.13961039,0,AZD_200nM,0.2964615174085584 -4203,GCTATACTCCTTATGTTTCTCATGTGGGAT,MED12,89.57,1950.0,0.167748918,0,PLX_2uM,0.2964615174085584 -4204,CGTCTACTGCAACGCTATCGCCCAGGGCGG,CD13,82.94,802.0,0.084615385,0,nodrug,0.4912266345386309 -4205,GCGCTACTGCTGTTGTGGCGCCAGAGGCAA,CD43,69.11,273.0,0.398550725,0,nodrug,0.5388482139787649 -4206,AGAATACTGGCCAAGCATGGAGGAAGGCAC,CD45,52.74,596.0,0.610108303,0,nodrug,0.6323668393292106 -4207,ATTTTACTGGCCAAGCTGTTGCCTCGGAAG,NF1,44.98,1277.0,0.725543478,0,PLX_2uM,0.5789158417643471 -4208,GGACTACTGGCTGATAGATGTAAGAGGTAA,CD13,62.56,605.0,0.47362637399999996,0,nodrug,0.6148156372150856 -4209,TTCCTACTGGGATCCCCAAGGAGGCGGAAT,CD33,25.27,92.0,0.463203463,0,nodrug,0.5687976548985307 -4210,CTTTTACTGTAGCTTTATTCAGTAGGGAGT,NF1,48.5,1377.0,0.10597826099999999,0,PLX_2uM,0.5013111641898833 -4211,CTTGTACTTAACTCCTAGGGCCCCGGGATG,CD45,49.03,554.0,0.8772563179999999,1,nodrug,0.5660923782710826 -4212,TTCATACTTCTTTCGGATGGAGAGAGGAAG,CD33,33.24,121.0,0.612554113,0,nodrug,0.572921378462085 -4213,GAGGTACTTGGAGCTGTGATATGTGGGGTA,CD43,8.35,33.0,0.673913043,0,nodrug,0.5569153734635518 -4214,TATTTACTTTGCAGGTAAGATGTTTGGTAT,NF1,95.1,2700.0,0.267663043,0,PLX_2uM,0.2191803291533793 -4215,TGAGTAGAAAAAAGAAAAAGCAACTGGAAG,CD45,55.93,632.0,0.310469314,0,nodrug,0.44797169288904914 -4216,AATGTAGAAGGTGAATTCTGAGCCAGGCAG,NF1,14.05,399.0,0.619565217,0,PLX_2uM,0.569802862455835 -4217,GCAGTAGACGGTGGACCGCAGGTTGGGGTG,CD13,81.9,792.0,0.449450549,0,nodrug,0.3021439015524317 -4218,ATAATAGAGAAAAATACACATTTGAGGTAT,CUL3,79.82,613.0,0.37662337700000004,0,PLX_2uM,0.5186056083159035 -4219,TGATTAGAGACATACTAATGTACATGGTAA,CUL3,16.28,125.0,0.902597403,1,PLX_2uM,0.6397757527055136 -4220,CCCTTAGAGCTTCCACACATGGACTGGTCA,NF1,74.82,2124.0,0.9728260870000001,1,PLX_2uM,0.4989272217865472 -4221,GATGTAGAGGTGGCAATCCGGCAGTGGGAT,MED12,10.66,232.0,0.614718615,0,AZD_200nM,0.5418170224200332 -4222,GATGTAGAGGTGGCAATCCGGCAGTGGGAT,MED12,10.66,232.0,0.62012987,0,PLX_2uM,0.5418170224200332 -4223,ACCATAGAGTGGTGGAATGACCTGTGGCTG,CD13,42.09,407.0,0.978021978,1,nodrug,0.7599705726649145 -4224,CCTTTAGCAGAGTCAGGGCATGTTGGGACA,MED12,88.24,1921.0,0.5844155839999999,0,AZD_200nM,0.3952453944357966 -4225,CCTTTAGCAGAGTCAGGGCATGTTGGGACA,MED12,88.24,1921.0,0.442640693,0,PLX_2uM,0.3952453944357966 -4226,CTTATAGCATAAAACATATCCATGGGGTTT,CD45,21.95,248.0,0.9927797829999999,1,nodrug,0.7319602922145593 -4227,TGTCTAGCATCTCGCAAGGTAGCATGGAGG,MED12,73.73,1605.0,0.19913419899999998,0,AZD_200nM,0.5142129457525768 -4228,TGTCTAGCATCTCGCAAGGTAGCATGGAGG,MED12,73.73,1605.0,0.20562770600000002,0,PLX_2uM,0.5142129457525768 -4229,ATTGTAGCCCTCTGTGTGCTCAAGGGGGGC,HPRT1,31.65,69.0,0.703125,0,6TG_2ug/mL,0.5570298235393752 -4230,CACGTAGCCGACTTCCATGTACCGGGGCTC,H2-K,11.65,43.0,0.9408284020000001,1,nodrug,0.7597921225250428 -4231,CTACTAGCCTGTGCCTGTGCATCGTGGCTG,MED12,42.54,926.0,0.957792208,1,AZD_200nM,0.7672209154634123 -4232,CTACTAGCCTGTGCCTGTGCATCGTGGCTG,MED12,42.54,926.0,0.938311688,1,PLX_2uM,0.7672209154634123 -4233,TTTCTAGCCTTCTCCTCCCTGGCCTGGGCT,NF2,54.62,325.0,0.156950673,0,PLX_2uM,0.29787631166701434 -4234,ACTGTAGCTTTATTCAGTAGGGAGTGGCAA,NF1,48.43,1375.0,0.129076087,0,PLX_2uM,0.620885561876157 -4235,GTGGTAGGGGTCCGTACTCAGCATGGGAGC,MED12,26.69,581.0,0.804112554,1,AZD_200nM,0.5972745047773529 -4236,GTGGTAGGGGTCCGTACTCAGCATGGGAGC,MED12,26.69,581.0,0.83982684,1,PLX_2uM,0.5972745047773529 -4237,TGGCTAGGGTAAGGACCTTGATATAGGGCT,THY1,53.7,87.0,0.564516129,0,nodrug,0.4073637905438847 -4238,TGATTAGGTATGCAAAATAAATCAAGGTCA,HPRT1,9.17,20.0,0.46875,0,6TG_2ug/mL,0.6127387756607375 -4239,TTGCTAGGTCCCAATCCAAAGATTCGGTTA,MED12,22.23,484.0,0.58982684,0,AZD_200nM,0.5958464321325692 -4240,TTGCTAGGTCCCAATCCAAAGATTCGGTTA,MED12,22.23,484.0,0.564935065,0,PLX_2uM,0.5958464321325692 -4241,CGTGTAGGTGAAGGTGTGAGCTGCAGGGTT,MED12,47.36,1031.0,0.47619047600000003,0,AZD_200nM,0.4803391655839355 -4242,CGTGTAGGTGAAGGTGTGAGCTGCAGGGTT,MED12,47.36,1031.0,0.471861472,0,PLX_2uM,0.4803391655839355 -4243,AGAGTAGGTTCGATCGCTTCCTCCTGGAAT,CUL3,46.35,356.0,0.5,0,PLX_2uM,0.5079519502615927 -4244,TACGTAGTAATTCTTCATGATCCATGGACA,NF1,22.75,646.0,0.9048913040000001,1,PLX_2uM,0.5849257825498967 -4245,ACTATAGTAGAAATGGAGAATTCTGGGCTA,CUL3,36.72,282.0,0.7142857140000001,0,PLX_2uM,0.4686150125331072 -4246,ATAATAGTCTTCACAGTCACGTAGCGGGCT,TADA2B,87.86,369.0,0.663157895,0,AZD_200nM,0.6486491659893033 -4247,ATGATAGTGACTGCTTATGAGCATGGGCTG,TADA1,48.36,162.0,0.981651376,1,AZD_200nM,0.654424377280937 -4248,TGAGTAGTGCCAAACCAAGGCACTAGGACA,MED12,17.27,376.0,0.09307359300000001,0,AZD_200nM,0.6143831347103696 -4249,TGAGTAGTGCCAAACCAAGGCACTAGGACA,MED12,17.27,376.0,0.125541126,0,PLX_2uM,0.6143831347103696 -4250,ATTGTAGTGGACCTTACCCATACCGGGCCT,NF1,58.05,1648.0,0.861413043,1,PLX_2uM,0.6517613724488103 -4251,ACCCTAGTTCCAGTGTTCTCTTTGAGGACA,MED12,31.05,676.0,0.16017316,0,AZD_200nM,0.39374422406535886 -4252,ACCCTAGTTCCAGTGTTCTCTTTGAGGACA,MED12,31.05,676.0,0.11147186099999999,0,PLX_2uM,0.39374422406535886 -4253,CAATTAGTTGAAGTAATGATGGCAAGGAGA,NF1,36.07,1024.0,0.71875,0,PLX_2uM,0.6571196633698108 -4254,CTGCTAGTTGGGGGCTGAGGAGCAGGGGTG,MED12,15.3,333.0,0.796536797,0,AZD_200nM,0.5784627989375203 -4255,CTGCTAGTTGGGGGCTGAGGAGCAGGGGTG,MED12,15.3,333.0,0.8170995670000001,1,PLX_2uM,0.5784627989375203 -4256,ATGTTATAAATGTGCAGACAGATTTGGGGA,CD45,18.58,210.0,0.083032491,0,nodrug,0.37062992918519516 -4257,CATTTATACTATTGTCTGTCGGCCGGGAGG,CD45,28.5,322.0,0.155234657,0,nodrug,0.44527798198055923 -4258,TTCTTATAGCATAAAACATATCCATGGGGT,CD45,21.95,248.0,1.0,1,nodrug,0.5872203372856192 -4259,TCTATATAGGTATGTTCGTGTGCTTGGGAA,NF1,35.26,1001.0,0.004076087,0,PLX_2uM,0.3559177697899849 -4260,CCATTATATCCAGGGACTCTCCAGTGGCCA,CD33,19.78,72.0,0.902597403,1,nodrug,0.6975881265341886 -4261,CCTCTATCACAGAACTTGGACCAGTGGACC,MED12,62.15,1353.0,0.9556277059999999,1,AZD_200nM,0.7158754930579402 -4262,CCTCTATCACAGAACTTGGACCAGTGGACC,MED12,62.15,1353.0,0.9209956709999999,1,PLX_2uM,0.7158754930579402 -4263,AGCTTATCATCAATAAATAATGAGAGGTAT,CUL3,50.65,389.0,0.935064935,1,PLX_2uM,0.698484605265334 -4264,CAAGTATCATGAGCGGCTGCTGACTGGCCT,NF1,59.77,1697.0,0.33695652200000004,0,PLX_2uM,0.5745001165142859 -4265,GGCATATCCTACAACAAACTTGTCTGGAAT,HPRT1,85.32,186.0,0.1875,0,6TG_2ug/mL,0.4158924107627042 -4266,GAGTTATCCTTGGTGTTATTCTCATGGCGG,THY1,25.31,41.0,0.435483871,0,nodrug,0.49855402243924 -4267,ACGCTATCGCCCAGGGCGGGGAGGAGGAGT,CD13,83.35,806.0,0.20109890100000002,0,nodrug,0.3984286387149741 -4268,TCTATATCTATAACTGTAACTCCTGGGTCA,NF1,59.32,1684.0,0.9035326090000001,1,PLX_2uM,0.6478188014474889 -4269,CACGTATCTCTGAGCCACATTGAGGGGAGG,CCDC101,94.88,278.0,0.134228188,0,AZD_200nM,0.5310968338130019 -4270,CGGATATCTGCTTCCTCACAGAGGTGGCGG,NF1,25.11,713.0,0.18885869600000002,0,PLX_2uM,0.6666672349215641 -4271,ACTTTATCTTCAGGTCTGCTGTGATGGGTC,H2-K,57.72,213.0,0.331360947,0,nodrug,0.41411020212252153 -4272,TTTGTATCTTTCAGAGCATTCCACGGGTAT,CD45,43.1,487.0,0.8483754509999999,1,nodrug,0.619835682560644 -4273,TCAGTATCTTTGAAGTCGAAAGACAGGCTG,NF2,85.04,506.0,0.784753363,0,PLX_2uM,0.5025524956937134 -4274,TATTTATGGCAATCCGGAATCCTCTGGAGT,NF1,83.34,2366.0,0.372282609,0,PLX_2uM,0.43280489229693453 -4275,AGGGTATGGGATGGAAGAAAGTGCAGGGCA,CD33,11.54,42.0,0.8311688309999999,1,nodrug,0.6105454084290465 -4276,GTGCTATGGTGGTAGCCAAGCTCCTGGAGA,MED12,24.25,528.0,0.87012987,1,AZD_200nM,0.6436537647183771 -4277,GTGCTATGGTGGTAGCCAAGCTCCTGGAGA,MED12,24.25,528.0,0.91017316,1,PLX_2uM,0.6436537647183771 -4278,TTCATATGTACTCCACTGTGAGCCAGGTAC,CD45,13.98,158.0,0.151624549,0,nodrug,0.541734051732877 -4279,TCCCTATTACCGGACAAAGCTGCGTGGCCT,CCDC101,20.14,59.0,0.6442953020000001,0,AZD_200nM,0.7548279203147975 -4280,CTGGTATTCAGCCTCCAGAGGGGAGGGGTC,CD45,68.05,769.0,0.555956679,0,nodrug,0.44937343069133656 -4281,GAGATATTCCAACGTGCAAGTGGCTGGACC,NF1,78.37,2225.0,0.28125,0,PLX_2uM,0.4514592526902914 -4282,TGTTTATTCCTCATGGACTAATTATGGACA,HPRT1,19.27,42.0,0.28125,0,6TG_2ug/mL,0.2309947387484603 -4283,TTTCTATTCTAGATTGTGAATAATTGGCGA,MED12,69.5,1513.0,0.056277056,0,AZD_200nM,0.16016366668962048 -4284,TTTCTATTCTAGATTGTGAATAATTGGCGA,MED12,69.5,1513.0,0.072510823,0,PLX_2uM,0.16016366668962048 -4285,GTGTTATTCTCATGGCGGCAGTCCAGGCGA,THY1,22.84,37.0,0.403225806,0,nodrug,0.4696240585719927 -4286,TTTTTATTCTGATTGTGGGGCTTTCGGGCA,CD45,44.25,500.0,0.090252708,0,nodrug,0.24533890389605828 -4287,ACACTATTCTTCAGGTATGGCTGCGGGGTC,TADA1,64.18,215.0,0.46788990799999997,0,AZD_200nM,0.47494326080727484 -4288,TATTTATTGATGATAAGCTGAAAAAGGGAG,CUL3,51.69,397.0,0.012987013,0,PLX_2uM,0.33075945960457653 -4289,TTGTTATTGCAGATGAAGTGGAAAGGGAAG,NF2,7.06,42.0,0.372197309,0,PLX_2uM,0.5231861921765323 -4290,TGCTTATTGCCTTGGTGGTGGTTTTGGCCC,CD43,66.08,261.0,0.050724637999999996,0,nodrug,0.2845643122226519 -4291,GTATTATTTCTGAAGTGAATGAAGAGGGGT,CD13,75.49,730.0,0.682417582,0,nodrug,0.5915142687579819 -4292,CACCTCAAAACTGGTCACATTATTAGGCAA,CD45,23.54,266.0,0.02166065,0,nodrug,0.2673354516909136 -4293,TATCTCAAAAGCATGTCTTGGTGCTGGTGG,CUL3,68.75,528.0,0.29220779199999997,0,PLX_2uM,0.5248958979329785 -4294,GTCCTCAAAGAGAACACTGGAACTAGGGTC,MED12,30.87,672.0,0.23701298699999998,0,AZD_200nM,0.4445369062601357 -4295,GTCCTCAAAGAGAACACTGGAACTAGGGTC,MED12,30.87,672.0,0.24025974,0,PLX_2uM,0.4445369062601357 -4296,GACTTCAAAGATACTGACATGAAGCGGCTT,NF2,86.55,515.0,0.121076233,0,PLX_2uM,0.5257819676683271 -4297,ATCATCAAAGGGAGAGGGAGGCCGGGGACC,MED12,29.08,633.0,0.28246753199999997,0,AZD_200nM,0.5138409697364815 -4298,ATCATCAAAGGGAGAGGGAGGCCGGGGACC,MED12,29.08,633.0,0.353896104,0,PLX_2uM,0.5138409697364815 -4299,GACTTCAAATACGGACCAATGTTAAGGATC,NF1,32.3,917.0,0.607336957,0,PLX_2uM,0.44006071042186357 -4300,AAGCTCAACTACACCCTCAGCCAGGGGCAC,CD13,13.75,133.0,0.8428571429999999,1,nodrug,0.7601657110911924 -4301,CTCTTCAACTGGACGCTCTCCTACCGGGCG,CD15,60.38,320.0,0.978021978,1,nodrug,0.511574965938521 -4302,GAAATCAAGTCTCTGTTGGAAGAGAGGCGG,CCDC101,31.74,93.0,0.348993289,0,AZD_200nM,0.5627926887522648 -4303,CCCTTCAATCTTCTCCTTGGGTGGGGGCTT,MED12,32.8,714.0,0.36038961,0,AZD_200nM,0.43738270932425793 -4304,CCCTTCAATCTTCTCCTTGGGTGGGGGCTT,MED12,32.8,714.0,0.405844156,0,PLX_2uM,0.43738270932425793 -4305,CTGTTCAATGAAGGGAAAGGACCAAGGGCC,CD5,18.62,92.0,0.732217573,0,nodrug,0.6647335967078621 -4306,AAGGTCAATGGAATGAAAACCTCCCGGCCG,CD45,28.32,320.0,0.7472924190000001,0,nodrug,0.6147940000584459 -4307,AACCTCAATGTGACGGGCTATTACCGGGTG,CD13,65.15,630.0,0.32857142899999997,0,nodrug,0.4770912100202087 -4308,TGTGTCAATTAGTTGAAGTAATGATGGCAA,NF1,36.0,1022.0,0.914402174,1,PLX_2uM,0.5605684878787168 -4309,CTCTTCACAAAAGAAGAACATATGCGGCCT,NF1,51.46,1461.0,0.675271739,0,PLX_2uM,0.7242901204938845 -4310,GCCCTCACAACAACCAACACTTTAAGGTGA,NF1,13.88,394.0,0.057065217,0,PLX_2uM,0.17135703729869997 -4311,GGGATCACAACACCCCCCAAAATGAGGAGA,NF1,90.49,2569.0,0.202445652,0,PLX_2uM,0.3519613535459169 -4312,GATGTCACAATAATCAGAAACACCAGGAAT,CD45,36.28,410.0,0.33935018100000003,0,nodrug,0.658075726223376 -4313,ACGGTCACATGTTGGCTCAGTTGGTGGTAG,CD15,70.94,376.0,0.945054945,1,nodrug,0.6423138245452783 -4314,CAGGTCACCAAGCCAAGAATCAAGTGGCAT,CD43,62.28,246.0,0.797101449,0,nodrug,0.735782428721016 -4315,GCTGTCACCAATGAGGTTGAAGCTTGGTAT,NF2,83.7,498.0,0.8340807170000001,1,PLX_2uM,0.5771332176626998 -4316,CTGCTCACCACGACGCCAGGGCTGCGGGTC,HPRT1,2.29,5.0,0.75,0,6TG_2ug/mL,0.4651546116905102 -4317,TAGTTCACCAGCATTAAGGAGTGAAGGGAT,MED12,53.05,1155.0,0.904761905,1,AZD_200nM,0.6156405523867868 -4318,TAGTTCACCAGCATTAAGGAGTGAAGGGAT,MED12,53.05,1155.0,0.954545455,1,PLX_2uM,0.6156405523867868 -4319,CAATTCACCAGCTGGCCAGACCATGGGGTT,CD45,57.35,648.0,0.6931407940000001,0,nodrug,0.5492740408620622 -4320,GTACTCACCCGCGCGGGTCTGAGTCGGAGC,H2-K,4.88,18.0,0.49112426,0,nodrug,0.5732653375489251 -4321,CACTTCACCTCGGATTGCAGAGGAAGGAGC,CD45,82.92,937.0,0.76534296,0,nodrug,0.5628209498358883 -4322,GTCATCACGGTGGATACCAGCACGGGGACC,CD13,57.7,558.0,0.93956044,1,nodrug,0.7848821601488737 -4323,GGTGTCACTCACTTGTTGGTGGCATGGCTG,CCDC101,63.48,186.0,0.208053691,0,AZD_200nM,0.5325792148060362 -4324,ACGTTCACTGACTGGACCCATGGGTGGGCT,NF1,30.54,867.0,0.351902174,0,PLX_2uM,0.5953627390459694 -4325,CAAGTCACTGAGTGCAGAATGGCTAGGAGT,MED12,50.16,1092.0,1.0,1,AZD_200nM,0.6927882437009677 -4326,CAAGTCACTGAGTGCAGAATGGCTAGGAGT,MED12,50.16,1092.0,0.981601732,1,PLX_2uM,0.6927882437009677 -4327,CTAATCACTTACCCACTGAGAACAAGGAAC,NF1,43.47,1234.0,0.501358696,0,PLX_2uM,0.6116642473631281 -4328,CTGCTCACTTGAATTCTGAGGGGCGGGTAA,CD13,59.67,577.0,0.527472527,0,nodrug,0.5304485439979174 -4329,TTGATCACTTGATATCAGACACAAAGGCTC,NF1,89.86,2551.0,0.438858696,0,PLX_2uM,0.4317249305361035 -4330,CACTTCAGAAATAATACCAACAACTGGAGG,CD13,76.42,739.0,0.381318681,0,nodrug,0.4263448973218921 -4331,AGAATCAGAAGCCGCAGATGAGAAGGGTTC,MED12,25.22,549.0,0.897186147,1,AZD_200nM,0.661034797548876 -4332,AGAATCAGAAGCCGCAGATGAGAAGGGTTC,MED12,25.22,549.0,0.911255411,1,PLX_2uM,0.661034797548876 -4333,TGTATCAGATGACTCCGGAAATGTGGGAGG,NF2,30.76,183.0,0.97309417,1,PLX_2uM,0.6225869524125506 -4334,CTCTTCAGCACATCAGGCAATGAGTGGGTC,CD13,63.91,618.0,0.9087912090000001,1,nodrug,0.6114659730247161 -4335,ATCTTCAGCAGTGGGGAAGGCTTCAGGCCG,MED12,37.76,822.0,0.563852814,0,AZD_200nM,0.3573416863066835 -4336,ATCTTCAGCAGTGGGGAAGGCTTCAGGCCG,MED12,37.76,822.0,0.50974026,0,PLX_2uM,0.3573416863066835 -4337,CTGCTCAGCCACAGAGATGTCCAGCGGGGG,TADA2B,36.9,155.0,0.742105263,0,AZD_200nM,0.6795563401096462 -4338,GAGTTCAGCCTGACCCGAGAGAAGAGGAAG,THY1,36.42,59.0,0.725806452,0,nodrug,0.5822866320886061 -4339,CAGATCAGCTGAAGCAGGACCTGCAGGAAG,NF2,76.97,458.0,0.35426009,0,PLX_2uM,0.45974178081996137 -4340,TCCATCAGCTGATCAAACAAACCCAGGTAA,CCDC101,8.19,24.0,0.832214765,1,AZD_200nM,0.7024105772345661 -4341,GCTGTCAGCTGCAAGCGTTCTGGTCGGCAT,MED12,23.79,518.0,0.965367965,1,AZD_200nM,0.6734361999520352 -4342,GCTGTCAGCTGCAAGCGTTCTGGTCGGCAT,MED12,23.79,518.0,0.931818182,1,PLX_2uM,0.6734361999520352 -4343,AGACTCAGCTGCAGAGAGACCACTCGGTGA,CD13,67.22,650.0,0.938461538,1,nodrug,0.6692005349191593 -4344,GTTGTCAGCTGCCCCCACCTCCCTGGGCCC,CD33,51.1,186.0,0.34199134200000003,0,nodrug,0.4299906801411328 -4345,TCTGTCAGCTGCCTACTTCCTCCATGGCCA,NF1,10.95,311.0,0.561141304,0,PLX_2uM,0.5845622083221153 -4346,CGTCTCAGCTTCAAGACGCGTCCCTGGAGA,TADA2B,99.52,418.0,0.09473684199999999,0,AZD_200nM,0.2157348687120569 -4347,ACCCTCAGGACCCCAAACAGAAGGAGGTGC,MED12,1.47,32.0,0.600649351,0,AZD_200nM,0.6909064684498512 -4348,ACCCTCAGGACCCCAAACAGAAGGAGGTGC,MED12,1.47,32.0,0.583333333,0,PLX_2uM,0.6909064684498512 -4349,CAGATCAGGCTCAGCGGAAGGCACTGGTCT,CD5,25.3,125.0,0.866108787,1,nodrug,0.5573524531855503 -4350,AGGTTCAGGCTTCACTGTGACAGGAGGAAC,MED12,57.1,1243.0,0.7824675320000001,0,AZD_200nM,0.7033271157548902 -4351,AGGTTCAGGCTTCACTGTGACAGGAGGAAC,MED12,57.1,1243.0,0.6309523810000001,0,PLX_2uM,0.7033271157548902 -4352,CTTATCAGGTCTCCCGGAATGTTCTGGAGC,MED12,39.14,852.0,0.329004329,0,AZD_200nM,0.37732894268778405 -4353,CTTATCAGGTCTCCCGGAATGTTCTGGAGC,MED12,39.14,852.0,0.32034632,0,PLX_2uM,0.37732894268778405 -4354,CAGGTCAGGTTGGTGCCGTGGTCCTGGGGC,CD33,56.32,205.0,0.49567099600000003,0,nodrug,0.27659483528412715 -4355,AGACTCAGGTTTAGATACAGGCTCAGGCCA,CD45,20.88,236.0,0.469314079,0,nodrug,0.583512817253549 -4356,TCACTCAGTACACCCCATACCTATCGGGAT,MED12,49.15,1070.0,0.628787879,0,AZD_200nM,0.5880762101352427 -4357,TCACTCAGTACACCCCATACCTATCGGGAT,MED12,49.15,1070.0,0.515151515,0,PLX_2uM,0.5880762101352427 -4358,TGGCTCAGTAGCGTCCAAATATGTTGGTAC,MED12,99.82,2173.0,0.15584415599999998,0,AZD_200nM,0.24716713248730635 -4359,TGGCTCAGTAGCGTCCAAATATGTTGGTAC,MED12,99.82,2173.0,0.084415584,0,PLX_2uM,0.24716713248730635 -4360,GAGGTCAGTCCATGTCCATAGGTGGGGGCC,MED12,92.1,2005.0,0.306277056,0,AZD_200nM,0.3172855916109413 -4361,GAGGTCAGTCCATGTCCATAGGTGGGGGCC,MED12,92.1,2005.0,0.304112554,0,PLX_2uM,0.3172855916109413 -4362,CAGCTCAGTCTTGTCAATGTCGGGGGGCTG,CD13,15.41,149.0,0.886813187,1,nodrug,0.6902960152724407 -4363,TGCTTCATACGGTGAGACAATGGCAGGATT,NF1,49.95,1418.0,0.830163043,1,PLX_2uM,0.5985131964228585 -4364,AATTTCATATGGCTTTGCATAATATGGCTT,NF1,57.59,1635.0,0.029891304,0,PLX_2uM,0.23762489139033535 -4365,GAAGTCATCAACTGTCTCATCCCGGGGCCC,CD45,49.2,556.0,0.8050541520000001,1,nodrug,0.6952999940191803 -4366,GCCCTCATCAGAACAATGACACTCAGGCTG,CD28,1.38,3.0,0.986486486,1,nodrug,0.6475927835180517 -4367,TGGGTCATCGGCAGGATCATCAAAGGGAGA,MED12,29.31,638.0,0.662337662,0,AZD_200nM,0.5725816510941827 -4368,TGGGTCATCGGCAGGATCATCAAAGGGAGA,MED12,29.31,638.0,0.827922078,1,PLX_2uM,0.5725816510941827 -4369,GGGATCATCTACGGCAAACTCTATTGGATA,CUL3,21.48,165.0,0.116883117,0,PLX_2uM,0.35613591081314244 -4370,AATTTCATCTCTTGGCAAAATGAGAGGTCA,NF1,36.28,1030.0,0.616847826,0,PLX_2uM,0.6132148804246994 -4371,TCAGTCATCTGAAGGAGGTTCCGCTGGTTT,NF1,47.09,1337.0,0.40081521700000006,0,PLX_2uM,0.582171176853235 -4372,TCCCTCATCTGCTTCTCTCGAGCGAGGCGC,NF2,57.14,340.0,0.6143497760000001,0,PLX_2uM,0.6481661045674446 -4373,GAGGTCATGGAATTAGAAAGGTTAAGGTTG,NF1,97.82,2777.0,0.167119565,0,PLX_2uM,0.23094455270847797 -4374,AGGGTCATGGCCGACTGCTGCAGCAGGGTC,CCDC101,41.98,123.0,0.053691275,0,AZD_200nM,0.4345271081899413 -4375,CCAGTCATGTTGATCCATTCCTGTAGGGAG,NF1,29.41,835.0,0.347826087,0,PLX_2uM,0.6005369308197658 -4376,TCTATCATTCATATCCGGACCCGCTGGGAA,NF1,64.46,1830.0,0.836956522,1,PLX_2uM,0.5358494350170738 -4377,ATCCTCATTGTCCAGCAGTCGATGTGGATA,MED12,61.05,1329.0,0.63961039,0,AZD_200nM,0.7140641274020958 -4378,ATCCTCATTGTCCAGCAGTCGATGTGGATA,MED12,61.05,1329.0,0.601731602,0,PLX_2uM,0.7140641274020958 -4379,TTCATCCAAACCCAGCGCTGGCCCGGGGGC,CD15,54.53,289.0,0.538461538,0,nodrug,0.44763474690690386 -4380,CGGCTCCAAACGGGGAAAGGAGGACGGCAA,TADA2B,79.05,332.0,0.584210526,0,AZD_200nM,0.5002764423600442 -4381,CCAATCCAAAGATTCGGTTACAAAGGGAGT,MED12,22.09,481.0,0.12662337699999998,0,AZD_200nM,0.5105220537495153 -4382,CCAATCCAAAGATTCGGTTACAAAGGGAGT,MED12,22.09,481.0,0.204545455,0,PLX_2uM,0.5105220537495153 -4383,GGGCTCCAAAGGCAAGGTCCCCTCGGGAGA,MED12,28.57,622.0,0.82034632,1,AZD_200nM,0.5775112397685755 -4384,GGGCTCCAAAGGCAAGGTCCCCTCGGGAGA,MED12,28.57,622.0,0.8495671,1,PLX_2uM,0.5775112397685755 -4385,GTTTTCCAACAGTCAGCAGAGACAGGGTCA,MED12,64.12,1396.0,0.561688312,0,AZD_200nM,0.6290805779220724 -4386,GTTTTCCAACAGTCAGCAGAGACAGGGTCA,MED12,64.12,1396.0,0.622294372,0,PLX_2uM,0.6290805779220724 -4387,CCCGTCCAACCTGCCCATGCCAGAGGGTAA,MED12,18.7,407.0,0.854978355,1,AZD_200nM,0.636056639320754 -4388,CCCGTCCAACCTGCCCATGCCAGAGGGTAA,MED12,18.7,407.0,0.915584416,1,PLX_2uM,0.636056639320754 -4389,TCCATCCAACTCCCCACCACCGTGCGGGAC,CD13,55.43,536.0,0.942857143,1,nodrug,0.6724783155730955 -4390,AGTTTCCAAGGGGGTCAAAGAAACTGGGAT,CD43,18.48,73.0,0.02173913,0,nodrug,0.3116099747844356 -4391,TTGGTCCAAGGTGGTGGCCGAGGCGGGGTT,CD13,6.31,61.0,0.10769230800000001,0,nodrug,0.3202753344388782 -4392,TATTTCCAAGTCCCTGGGCATCCTGGGGAT,CD13,1.34,13.0,0.047252747000000005,0,nodrug,0.34196983488084953 -4393,CAATTCCACACCATCTCCTTCTTCAGGCTG,NF1,38.36,1089.0,0.24320652199999998,0,PLX_2uM,0.3287889241356908 -4394,CTTTTCCACAGCGGCTTTCTGCCTCGGACA,CD5,4.25,21.0,0.0041841000000000005,0,nodrug,0.413797808223312 -4395,TCATTCCACCACTCTATGGTCACCAGGTTC,CD13,41.26,399.0,0.63956044,0,nodrug,0.6274437276187415 -4396,TATTTCCACCCAGTTCCAGCGCCAGGGGCT,MED12,98.25,2139.0,0.05411255400000001,0,AZD_200nM,0.16281329123248028 -4397,TATTTCCACCCAGTTCCAGCGCCAGGGGCT,MED12,98.25,2139.0,0.050865800999999995,0,PLX_2uM,0.16281329123248028 -4398,TCATTCCACGGGAAGGAGATCTTGGGGGTC,NF2,42.52,253.0,0.896860987,1,PLX_2uM,0.6382844337052398 -4399,TTCGTCCACTGTTACAGTGGCCAGTGGTAG,NF1,98.84,2806.0,0.183423913,0,PLX_2uM,0.25792830301158615 -4400,AGCCTCCAGAGGGGAGGGGTCACTGGGTGG,CD45,67.79,766.0,0.285198556,0,nodrug,0.4295403243162374 -4401,GTAGTCCAGCAGCTACCTGGGGCTGGGACT,MED12,98.07,2135.0,0.041125541,0,AZD_200nM,0.11492920682506325 -4402,GTAGTCCAGCAGCTACCTGGGGCTGGGACT,MED12,98.07,2135.0,0.025974026,0,PLX_2uM,0.11492920682506325 -4403,CAGCTCCAGCGAACTTCACCTGACAGGTCA,CD33,58.52,213.0,0.5865800870000001,0,nodrug,0.5705093723252848 -4404,GTTCTCCAGCTCTCTAGAGCGCTCTGGTGT,MED12,65.32,1422.0,0.708874459,0,AZD_200nM,0.5915353657160328 -4405,GTTCTCCAGCTCTCTAGAGCGCTCTGGTGT,MED12,65.32,1422.0,0.674242424,0,PLX_2uM,0.5915353657160328 -4406,AGGATCCAGGGCTCTCAGAATCTATGGACA,MED12,30.55,665.0,0.14177489199999999,0,AZD_200nM,0.37822106353399126 -4407,AGGATCCAGGGCTCTCAGAATCTATGGACA,MED12,30.55,665.0,0.09848484800000001,0,PLX_2uM,0.37822106353399126 -4408,GCACTCCAGGGTAAGTTGGTCGGGTGGGCA,MED12,85.94,1871.0,0.6839826840000001,0,AZD_200nM,0.526947174297171 -4409,GCACTCCAGGGTAAGTTGGTCGGGTGGGCA,MED12,85.94,1871.0,0.5963203460000001,0,PLX_2uM,0.526947174297171 -4410,ATTGTCCAGTCTATCATTCATATCCGGACC,NF1,64.35,1827.0,0.486413043,0,PLX_2uM,0.4659095824370733 -4411,AATGTCCATAGATTCTGAGAGCCCTGGATC,MED12,30.41,662.0,0.462121212,0,AZD_200nM,0.5602291458154725 -4412,AATGTCCATAGATTCTGAGAGCCCTGGATC,MED12,30.41,662.0,0.458874459,0,PLX_2uM,0.5602291458154725 -4413,CGGCTCCATCCACGATGCGGTTCTGGGAGG,MED12,55.72,1213.0,0.658008658,0,AZD_200nM,0.39857706433333473 -4414,CGGCTCCATCCACGATGCGGTTCTGGGAGG,MED12,55.72,1213.0,0.675324675,0,PLX_2uM,0.39857706433333473 -4415,CTCCTCCATCCACTGTCTCCAACATGGCGA,H2-K,82.38,304.0,0.301775148,0,nodrug,0.5722635777403822 -4416,AAACTCCATGAATGTGTTATAGTTGGGCAA,NF1,25.89,735.0,0.357336957,0,PLX_2uM,0.530494767178823 -4417,AGACTCCATGCAGACTCTCTTCCGAGGCAA,NF1,44.91,1275.0,0.948369565,1,PLX_2uM,0.7171734262976592 -4418,ACGGTCCATGGCAGCCCCCGGCCTCGGCGC,CD15,27.55,146.0,0.08791208800000001,0,nodrug,0.3523738854455555 -4419,CCTTTCCATGTGGTACACTGGTACTGGTAC,CD45,83.72,946.0,0.866425993,1,nodrug,0.4575290910889231 -4420,CCAGTCCATGTGTGGAAGCTCTAAGGGAGA,NF1,74.64,2119.0,0.639945652,0,PLX_2uM,0.5192852747140669 -4421,TTGATCCCAAGCCACCTGTTGCACTGGTTT,NF1,71.12,2019.0,0.154891304,0,PLX_2uM,0.41191474288430335 -4422,AGCATCCCACTGCAGGAAACACTGAGGTAT,NF1,27.26,774.0,0.7513586959999999,0,PLX_2uM,0.7929740522042837 -4423,TGCCTCCCAGAACCGCATCGTGGATGGAGC,MED12,55.86,1216.0,0.827922078,1,AZD_200nM,0.5390472858987537 -4424,TGCCTCCCAGAACCGCATCGTGGATGGAGC,MED12,55.86,1216.0,0.895021645,1,PLX_2uM,0.5390472858987537 -4425,ATCTTCCCATTGACATAGGCAAGTAGGGAC,CD45,25.31,286.0,0.783393502,0,nodrug,0.5965004544471395 -4426,GCCTTCCCCAGACAAGCCTACAGTAGGAAT,MED12,54.94,1196.0,0.7943722940000001,0,AZD_200nM,0.7314430410992386 -4427,GCCTTCCCCAGACAAGCCTACAGTAGGAAT,MED12,54.94,1196.0,0.8138528140000001,1,PLX_2uM,0.7314430410992386 -4428,CCAGTCCCCAGTTCTCCATGGCGCCGGCGT,CD13,36.5,353.0,0.771428571,0,nodrug,0.511770905538193 -4429,TCTATCCCCCAACACACCAAGATTCGGCCA,NF1,64.99,1845.0,0.423913043,0,PLX_2uM,0.5546522341856497 -4430,CTTCTCCCCGCCCTCAGCATCCTTCGGAAA,CCDC101,26.28,77.0,0.758389262,0,AZD_200nM,0.4491597987752133 -4431,GTTCTCCCCTACTATGCCCTGTGAGGGGAA,MED12,31.83,693.0,0.691558442,0,AZD_200nM,0.5065008172755844 -4432,GTTCTCCCCTACTATGCCCTGTGAGGGGAA,MED12,31.83,693.0,0.71969697,0,PLX_2uM,0.5065008172755844 -4433,CCCTTCCCCTCACAGGGCATAGTAGGGGAG,MED12,31.69,690.0,0.48593073600000003,0,AZD_200nM,0.4905155237775957 -4434,CCCTTCCCCTCACAGGGCATAGTAGGGGAG,MED12,31.69,690.0,0.388528139,0,PLX_2uM,0.4905155237775957 -4435,ACTGTCCCCTCAGGTGGGGAGGATGGGCAG,MED12,37.25,811.0,0.035714286,0,AZD_200nM,0.3913635387858428 -4436,ACTGTCCCCTCAGGTGGGGAGGATGGGCAG,MED12,37.25,811.0,0.114718615,0,PLX_2uM,0.3913635387858428 -4437,CATCTCCCGAGGGGACCTTGCCTTTGGAGC,MED12,28.71,625.0,0.002164502,0,AZD_200nM,0.33643839908009116 -4438,CATCTCCCGAGGGGACCTTGCCTTTGGAGC,MED12,28.71,625.0,0.00974026,0,PLX_2uM,0.33643839908009116 -4439,GCGTTCCCGTTCTTCAGGTATCTGCGGAGC,H2-K,51.76,191.0,0.7751479290000001,0,nodrug,0.6559685761001247 -4440,AGTGTCCCTACTTGCCTATGTCAATGGGAA,CD45,25.58,289.0,0.29963898899999997,0,nodrug,0.47079307706234674 -4441,GGGGTCCCTCAGCTCTGCAGGAGCTGGTGT,CD5,45.34,224.0,0.20920502100000002,0,nodrug,0.4157278337071609 -4442,GCTCTCCCTTAGAGCTTCCACACATGGACT,NF1,74.74,2122.0,0.755434783,0,PLX_2uM,0.5028040203929756 -4443,TGACTCCCTTTGTAACCGAATCTTTGGATT,MED12,22.23,484.0,0.33766233799999995,0,AZD_200nM,0.3328061935830724 -4444,TGACTCCCTTTGTAACCGAATCTTTGGATT,MED12,22.23,484.0,0.318181818,0,PLX_2uM,0.3328061935830724 -4445,AGTTTCCGAAGCCGAACTGCTCGATGGCGT,TADA2B,19.76,83.0,1.0,1,AZD_200nM,0.6468844312232559 -4446,GAATTCCGAAGTTCAGCTGCATGCTGGTTT,NF1,4.58,130.0,1.0,1,PLX_2uM,0.5159851043777927 -4447,GGGGTCCGACGGGCGACTCCTCCGCGGGTA,H2-K,35.5,131.0,0.633136095,0,nodrug,0.5692088593630547 -4448,AAGATCCGAGAACTGCAGCGGTACCGGCGA,TADA2B,70.0,294.0,0.321052632,0,AZD_200nM,0.4491925542324984 -4449,CCTGTCCGAGGACGTATTCAAGCAGGGCCT,CD13,51.4,497.0,0.293406593,0,nodrug,0.6679797191012745 -4450,GATCTCCGAGGCGGGTGTGGACAGCGGGTG,CD13,47.16,456.0,0.895604396,1,nodrug,0.6041778604931273 -4451,AGCTTCCGCACGTACATGTCCACGTGGGCG,TADA2B,49.05,206.0,0.826315789,1,AZD_200nM,0.7151808316862587 -4452,TGGCTCCGCAGATACCTGAAGAACGGGAAC,H2-K,52.85,195.0,0.39644970399999996,0,nodrug,0.5033834646088913 -4453,CGGATCCGCATCTTGGTGTCCTTCCGGCTG,CUL3,1.56,12.0,0.331168831,0,PLX_2uM,0.33946486130841874 -4454,CGGGTCCGGATATGAATGATAGACTGGACA,NF1,64.21,1823.0,0.955163043,1,PLX_2uM,0.5723969033789383 -4455,AGAGTCCGGCACACCAAATCAAAGAGGTCC,NF2,7.9,47.0,0.8654708520000001,1,PLX_2uM,0.7227702640706913 -4456,TAGCTCCGGCGCCAGTGGAAGTAGCGGCGA,CD15,91.51,485.0,0.9523809520000001,1,nodrug,0.5065251559743214 -4457,CGTCTCCGGGTTGGCCTTCCACTGGGGCAG,CCDC101,73.72,216.0,0.9932885909999999,1,AZD_200nM,0.676263356411836 -4458,ACTCTCCGTCGAAGTTTGAGGAGCAGGTGA,CD45,58.14,657.0,0.44765343,0,nodrug,0.46122305787003515 -4459,GCCTTCCGTTCCAGTTACCGGGACAGGTCA,NF1,76.93,2184.0,0.16983695699999998,0,PLX_2uM,0.3440692006116375 -4460,TTGTTCCTACTGGGATCCCCAAGGAGGCGG,CD33,25.55,93.0,0.681818182,0,nodrug,0.7121588261817055 -4461,CGGCTCCTCATCTTCTGGGGGCAGTGGCAG,MED12,80.16,1745.0,0.324675325,0,AZD_200nM,0.4101222165343604 -4462,CGGCTCCTCATCTTCTGGGGGCAGTGGCAG,MED12,80.16,1745.0,0.278138528,0,PLX_2uM,0.4101222165343604 -4463,TGGGTCCTCCAGAGCACAAACCTGTGGCAG,NF1,54.7,1553.0,0.38451087,0,PLX_2uM,0.662797141117417 -4464,CTTCTCCTCCTCTTTGGGGCATGCTGGGTC,CD43,3.04,12.0,0.420289855,0,nodrug,0.30418977873078545 -4465,CTTTTCCTCCTTAGGCTTCACCATTGGACG,MED12,20.76,452.0,0.668831169,0,AZD_200nM,0.5162794403109089 -4466,CTTTTCCTCCTTAGGCTTCACCATTGGACG,MED12,20.76,452.0,0.708874459,0,PLX_2uM,0.5162794403109089 -4467,CTGCTCCTCTAACAATGGCACTTGTGGTTT,MED12,50.85,1107.0,0.39285714299999996,0,AZD_200nM,0.5095573056956502 -4468,CTGCTCCTCTAACAATGGCACTTGTGGTTT,MED12,50.85,1107.0,0.34740259700000004,0,PLX_2uM,0.5095573056956502 -4469,ACCATCCTCTACAAGGCCAAGGACAGGCCC,CD5,38.66,191.0,0.351464435,0,nodrug,0.5611718328342613 -4470,ATGGTCCTCTCCCAAAGGTTCTGAAGGATA,NF1,88.06,2500.0,0.398097826,0,PLX_2uM,0.4626099363728251 -4471,GTGGTCCTCTGGTCTACAAGAAGCTGGTGA,CD5,81.58,403.0,0.535564854,0,nodrug,0.49864491945110834 -4472,AACTTCCTGAGAGGCAGTAGGCTCAGGTAC,CD43,25.32,100.0,0.21739130399999998,0,nodrug,0.5021686083256496 -4473,AGCATCCTGAGGACTGAGGCGCCCTGGGGT,CD13,49.64,480.0,0.864835165,1,nodrug,0.4377751482467116 -4474,GCCCTCCTGAGGCTTCTGTGCTCCTGGCTT,NF2,23.53,140.0,0.13452914800000002,0,PLX_2uM,0.40520383677393174 -4475,GGGGTCCTGAGGGTAAACATCGGGAGGCCC,MED12,1.06,23.0,0.6158008660000001,0,AZD_200nM,0.6716348423456193 -4476,GGGGTCCTGAGGGTAAACATCGGGAGGCCC,MED12,1.06,23.0,0.49567099600000003,0,PLX_2uM,0.6716348423456193 -4477,GGCTTCCTGCGACCAGTGTCAGGAAGGGTA,MED12,4.0,87.0,0.659090909,0,AZD_200nM,0.5911145015787893 -4478,GGCTTCCTGCGACCAGTGTCAGGAAGGGTA,MED12,4.0,87.0,0.585497835,0,PLX_2uM,0.5911145015787893 -4479,GACATCCTGGAAAATGGGAGCACTGGGAGC,MED12,25.86,563.0,0.37987013,0,AZD_200nM,0.5609140429715224 -4480,GACATCCTGGAAAATGGGAGCACTGGGAGC,MED12,25.86,563.0,0.40151515200000004,0,PLX_2uM,0.5609140429715224 -4481,TGTTTCCTGGACAGTGGCGGGGCCAGGCCT,CD15,65.47,347.0,0.058608059000000004,0,nodrug,0.3520986061679224 -4482,GTACTCCTGGAGCCTCTCTCCGGAAGGGAA,NF1,23.21,659.0,0.5665760870000001,0,PLX_2uM,0.5843826673089123 -4483,CGTGTCCTGGCACCAGCTGCAATCTGGGAG,CD5,32.19,159.0,0.19246861899999998,0,nodrug,0.3033409337208766 -4484,CTCCTCCTGGCGTCTACGATGCTCAGGGAG,CD33,28.57,104.0,0.846320346,1,nodrug,0.4597084612283025 -4485,GATTTCCTGGCTCGGGGACTGGTCTGGCCG,NF1,88.55,2514.0,0.15353260900000001,0,PLX_2uM,0.2492258388353933 -4486,GCTGTCCTGGCTGCTTTCCTCCTGTGGGTC,CD33,78.57,286.0,0.296536797,0,nodrug,0.3164961507356045 -4487,CTTCTCCTGGGCACAGAGGAACCCGGGGGA,CD5,68.62,339.0,0.43096234299999997,0,nodrug,0.5420953043983484 -4488,GTAGTCCTGGGGCCCAGGGAGGTGGGGGCA,CD33,50.82,185.0,0.23809523800000001,0,nodrug,0.35266746725276604 -4489,ACACTCCTGGTGCATGAAGGTGAGCGGCGT,NF1,63.79,1811.0,0.679347826,0,PLX_2uM,0.6667824464340025 -4490,GGTATCCTTCAGAACCTTTGGGAGAGGACC,NF1,87.95,2497.0,0.64673913,0,PLX_2uM,0.5084503103875502 -4491,CTGCTCCTTCTGGAACAAGGCCTCAGGGTC,CCDC101,77.13,226.0,0.67114094,0,AZD_200nM,0.3736411155669343 -4492,CACCTCCTTCTGTTTGGGGTCCTGAGGGTA,MED12,1.29,28.0,0.414502165,0,AZD_200nM,0.4640567954319216 -4493,CACCTCCTTCTGTTTGGGGTCCTGAGGGTA,MED12,1.29,28.0,0.38744588700000004,0,PLX_2uM,0.4640567954319216 -4494,ACCCTCGAAGTGAGAGTGAGCGGGTGGAAT,MED12,27.1,590.0,0.7337662340000001,0,AZD_200nM,0.6550758595785622 -4495,ACCCTCGAAGTGAGAGTGAGCGGGTGGAAT,MED12,27.1,590.0,0.641774892,0,PLX_2uM,0.6550758595785622 -4496,CATGTCGAATCTGAGCAAAGGCACGGGCAG,CUL3,0.91,7.0,0.181818182,0,PLX_2uM,0.5502875433428545 -4497,TCGCTCGAGAGAAGCAGATGAGGGAGGAGG,NF2,58.15,346.0,0.45291479799999995,0,PLX_2uM,0.6817167482513694 -4498,TTGCTCGAGATGTGATGAAGGAGATGGGAG,HPRT1,25.69,56.0,0.953125,1,6TG_2ug/mL,0.6175814172757286 -4499,GAGATCGAGCAGCAGATCAAGGAGCGGGGA,MED12,19.75,430.0,0.46861471899999996,0,AZD_200nM,0.6231338353401253 -4500,GAGATCGAGCAGCAGATCAAGGAGCGGGGA,MED12,19.75,430.0,0.5129870129999999,0,PLX_2uM,0.6231338353401253 -4501,GGAGTCGAGGGTGTGCTGCTAGTTGGGGGC,MED12,15.53,338.0,0.095238095,0,AZD_200nM,0.31063446184904936 -4502,GGAGTCGAGGGTGTGCTGCTAGTTGGGGGC,MED12,15.53,338.0,0.138528139,0,PLX_2uM,0.31063446184904936 -4503,GCTTTCGAGTGAGCCCAGGCCTCCGGGGAG,CD28,89.91,196.0,0.594594595,0,nodrug,0.31656739242471205 -4504,GGCTTCGCAGCCCCGGGGAGTGCGAGGGCG,CD15,56.98,302.0,0.846153846,1,nodrug,0.47305860421058643 -4505,GGGCTCGCCGACGGCGGCGGCGGGCGGGCG,CD15,25.85,137.0,0.018315018,0,nodrug,0.2220066669697511 -4506,CCAGTCGCGAGGAGCAGCTGCTGCTGGACG,TADA2B,18.57,78.0,0.778947368,0,AZD_200nM,0.45856911800455435 -4507,CTGTTCGCGCCATGGGGGCACCGTGGGGCT,CD15,24.34,129.0,0.47985348,0,nodrug,0.40238526099191785 -4508,CGCCTCGCTCGAGAGAAGCAGATGAGGGAG,NF2,57.98,345.0,0.233183857,0,PLX_2uM,0.4994756656890863 -4509,GGACTCGGACGTCTTTGTGCCTTATGGCTA,CD15,62.08,329.0,0.234432234,0,nodrug,0.2606396306410445 -4510,TGTTTCGGATTTCATTCCACGGGAAGGAGA,NF2,43.19,257.0,0.69058296,0,PLX_2uM,0.6083350129651832 -4511,GAACTCGGCATTCGAGCGAAACTGGGGCTG,CD28,36.24,79.0,0.8513513509999999,1,nodrug,0.6355049013986553 -4512,CCACTCGGGACTTGGCGCTCTGCAAGGTGA,NF2,97.98,583.0,0.103139013,0,PLX_2uM,0.2725323025794995 -4513,GCACTCGGTGCAGCGGAAGCGCAGCGGGCT,TADA2B,4.76,20.0,0.963157895,1,AZD_200nM,0.632633797094656 -4514,CATCTCGTACAGTGACAAGGAGGTAGGACA,NF2,45.38,270.0,0.511210762,0,PLX_2uM,0.6501074995918791 -4515,ATCGTCGTCCTCTGCAGACTGTCTGGGCTC,CD43,5.06,20.0,0.594202899,0,nodrug,0.5297375357586327 -4516,TACATCGTCTACTCTGGAACAATCAGGAGA,NF1,53.33,1514.0,0.448369565,0,PLX_2uM,0.5151179131260514 -4517,GGCGTCGTGAAGCATGGGATGAACCGGTCC,MED12,44.1,960.0,0.5216450220000001,0,AZD_200nM,0.5180193853259049 -4518,GGCGTCGTGAAGCATGGGATGAACCGGTCC,MED12,44.1,960.0,0.659090909,0,PLX_2uM,0.5180193853259049 -4519,GACCTCGTGAAGGGGCCCCCCGACTGGCCC,CD15,46.79,248.0,0.26007326,0,nodrug,0.41518815896502786 -4520,GCCCTCGTGGCGCTACTGCTGTTGTGGCGC,CD43,68.35,270.0,0.528985507,0,nodrug,0.5692701929720237 -4521,ATGGTCGTGTCTTCACAGTACTCTGGGGAA,MED12,13.05,284.0,0.19588744600000002,0,AZD_200nM,0.5019430016856261 -4522,ATGGTCGTGTCTTCACAGTACTCTGGGGAA,MED12,13.05,284.0,0.252164502,0,PLX_2uM,0.5019430016856261 -4523,GAATTCGTTGATCAAACTCATCTGTGGTAT,NF1,92.71,2632.0,0.889945652,1,PLX_2uM,0.4877856986191916 -4524,CCTCTCGTTGTCTAGGTAAGGCGGAGGGTA,CD28,55.96,122.0,0.756756757,0,nodrug,0.6168221541210395 -4525,TTTATCTAAAATCCCTGCTTCATACGGTGA,NF1,50.12,1423.0,0.34375,0,PLX_2uM,0.533354035735507 -4526,CTCTTCTAAAGCCAAGGTGGCAGCAGGTAG,NF1,60.9,1729.0,0.8464673909999999,1,PLX_2uM,0.5757973232464982 -4527,AAGCTCTAAGGGAGAGCGGACCTGTGGCTA,NF1,74.46,2114.0,0.516304348,0,PLX_2uM,0.5436448045009629 -4528,TTCATCTAATCTCATTGTGTCCTTTGGTTG,NF1,3.52,100.0,0.38994565200000003,0,PLX_2uM,0.3489044056557312 -4529,ACACTCTACCTGCATCTTTGCCTCCGGTGA,TADA1,81.49,273.0,0.47706422,0,AZD_200nM,0.5193796741560472 -4530,AGTCTCTACGCAAAGCACGGCCTGGGGTGG,CD45,91.5,1034.0,0.696750903,0,nodrug,0.5311632238529456 -4531,AGGCTCTAGCAGGGTAGGAGCAGGCGGCTC,MED12,80.52,1753.0,0.562770563,0,AZD_200nM,0.5532599467496494 -4532,AGGCTCTAGCAGGGTAGGAGCAGGCGGCTC,MED12,80.52,1753.0,0.448051948,0,PLX_2uM,0.5532599467496494 -4533,TTGATCTAGCTTGTTTGTGGCCACTGGAGA,CD33,20.33,74.0,0.554112554,0,nodrug,0.4772156820732723 -4534,TGTATCTAGGGATCATAAAGCTGTTGGAAG,NF1,53.89,1530.0,0.293478261,0,PLX_2uM,0.537538279719465 -4535,TTTCTCTAGTCCGCATTGGATTGGTGGCCT,NF1,14.97,425.0,0.7798913040000001,0,PLX_2uM,0.5366309547017091 -4536,GCGGTCTATCGCCGCTACTTCCACTGGCGC,CD15,91.89,487.0,0.626373626,0,nodrug,0.47948502920953384 -4537,ACTGTCTATGCTCTTAACATTGAAAGGATC,TADA1,90.15,302.0,0.385321101,0,AZD_200nM,0.49880982426430137 -4538,CCCATCTATTCAAGCAAAAATATGGGGAAG,NF1,70.31,1996.0,0.994565217,1,PLX_2uM,0.611113348136153 -4539,CTGGTCTCCACAAGCTCCATGTCCTGGATC,H2-K,67.21,248.0,0.201183432,0,nodrug,0.46857007602856054 -4540,GGGTTCTCCATCCACTGCTTGAAAAGGCCA,CD13,80.25,776.0,0.181318681,0,nodrug,0.4322454050279038 -4541,TCCTTCTCGACATCTGGCTTCTCAGGGGAT,MED12,32.25,702.0,0.404761905,0,AZD_200nM,0.4377298220552592 -4542,TCCTTCTCGACATCTGGCTTCTCAGGGGAT,MED12,32.25,702.0,0.272727273,0,PLX_2uM,0.4377298220552592 -4543,AAAGTCTCTACGCAAAGCACGGCCTGGGGT,CD45,91.42,1033.0,0.444043321,0,nodrug,0.3876742611100103 -4544,ATGATCTCTCAACTTTAACTGGAAAGGTAT,HPRT1,58.26,127.0,0.421875,0,6TG_2ug/mL,0.6022523376876437 -4545,ACTGTCTCTCTTCAATCAGGAAGAGGGTGT,CD13,70.84,685.0,0.82967033,1,nodrug,0.6235739861532767 -4546,GCAATCTCTGGCATGTGTGACTGAGGGACC,NF1,18.84,535.0,0.623641304,0,PLX_2uM,0.6757974136480221 -4547,CAGTTCTCTTCGTCGTAGTTCACCCGGTAA,CD13,65.36,632.0,0.876923077,1,nodrug,0.6199900806890326 -4548,ACTCTCTGAAATAAATGGAGATGCAGGGTC,CD45,46.73,528.0,0.534296029,0,nodrug,0.4967147572654365 -4549,ATCATCTGAAGACTCATCTGATTCAGGCTC,CD45,73.19,827.0,0.086642599,0,nodrug,0.27099382382935167 -4550,GCGATCTGACAGGAGCTCGAAGCCTGGAAG,TADA2B,82.86,348.0,0.163157895,0,AZD_200nM,0.4634499270212786 -4551,CACTTCTGACTACCAAAATGTAAAAGGTTT,CD45,30.44,344.0,0.014440433,0,nodrug,0.21614583119548553 -4552,TATCTCTGAGCCACATTGAGGGGAGGGGAA,CCDC101,94.2,276.0,0.899328859,1,AZD_200nM,0.4824800968548841 -4553,AAATTCTGCAGACATTTCCAAAAAAGGAGC,CUL3,27.34,210.0,0.051948052,0,PLX_2uM,0.25392834237829065 -4554,TGTATCTGCCACAGGTTTGTGCTCTGGAGG,NF1,54.63,1551.0,0.63451087,0,PLX_2uM,0.5728095228875487 -4555,GCTTTCTGCCTCGGACAGTCTGGAAGGGGT,CD5,5.26,26.0,0.723849372,0,nodrug,0.5497063659682729 -4556,CCTGTCTGCCTGCCCCACAGCCCCAGGATG,CCDC101,87.37,256.0,0.214765101,0,AZD_200nM,0.3692260473939673 -4557,TGGATCTGCGCGTGTTGGACTACGAGGAGG,CD15,50.94,270.0,0.355311355,0,nodrug,0.6682417240898457 -4558,CCCATCTGCTCACTTGAATTCTGAGGGGCG,CD13,59.88,579.0,0.334065934,0,nodrug,0.5261069364698114 -4559,TGGGTCTGCTGAAGCCCCTGGCGCTGGAAC,MED12,98.25,2139.0,0.025974026,0,AZD_200nM,0.09568538240169076 -4560,TGGGTCTGCTGAAGCCCCTGGCGCTGGAAC,MED12,98.25,2139.0,0.162337662,0,PLX_2uM,0.09568538240169076 -4561,CAGGTCTGCTGTGATGGGTCACATGGGCCT,H2-K,56.91,210.0,0.804733728,1,nodrug,0.6146984371110109 -4562,ATCTTCTGCTTGAACCACAGCTTTAGGTTA,TADA1,9.25,31.0,0.770642202,0,AZD_200nM,0.34974231135980993 -4563,GAAGTCTGGCAGGCCAATCTGGTCTGGGGA,CD13,35.47,343.0,0.263736264,0,nodrug,0.37490972622637964 -4564,ACCCTCTGGCATGGGCAGGTTGGACGGGGC,MED12,18.51,403.0,0.9642857140000001,1,AZD_200nM,0.49082578625754936 -4565,ACCCTCTGGCATGGGCAGGTTGGACGGGGC,MED12,18.51,403.0,0.9632034629999999,1,PLX_2uM,0.49082578625754936 -4566,CAGGTCTGGCCACGTAGTCTCCTGAGGCAG,CCDC101,51.88,152.0,0.879194631,1,AZD_200nM,0.6913700661895171 -4567,AACTTCTGGCCCAGAAGGCCGCAGAGGCTG,NF2,67.73,403.0,0.47982062799999997,0,PLX_2uM,0.6170075212067587 -4568,TTGGTCTGGGCTTGTCGGCAAATCGGGGGG,NF1,23.92,679.0,0.017663043,0,PLX_2uM,0.24970664461655523 -4569,TGGTTCTGGGGTCTGTTCAATGAAGGGAAA,CD5,19.43,96.0,0.958158996,1,nodrug,0.6108563692503794 -4570,GTGTTCTGGTAGGCAAAGGTGTGGAGGTAG,CD13,52.22,505.0,0.764835165,0,nodrug,0.6730228042329954 -4571,GCCATCTGGTCCTGGTTGAGGATGAGGCAG,MED12,43.09,938.0,0.44155844200000005,0,AZD_200nM,0.48441873023298265 -4572,GCCATCTGGTCCTGGTTGAGGATGAGGCAG,MED12,43.09,938.0,0.423160173,0,PLX_2uM,0.48441873023298265 -4573,TTGCTCTGGTTGTAGTAGCCGAGCAGGGTC,H2-K,27.91,103.0,0.556213018,0,nodrug,0.5285519042672828 -4574,TCCGTCTGTCACAGGATTGGCTGCAGGGAC,CD43,34.94,138.0,0.29710144899999996,0,nodrug,0.48027673426056144 -4575,TTGTTCTGTCATCTTGCAGCGTTGTGGAGA,MED12,24.8,540.0,0.883116883,1,AZD_200nM,0.6843248541528112 -4576,TTGTTCTGTCATCTTGCAGCGTTGTGGAGA,MED12,24.8,540.0,0.91991342,1,PLX_2uM,0.6843248541528112 -4577,CACCTCTGTGAGGAAGCAGATATCCGGTGT,NF1,25.33,719.0,0.592391304,0,PLX_2uM,0.5292220033079672 -4578,ATGATCTGTGCCCGATTGATGACAGGGATG,CD13,67.74,655.0,0.9043956040000001,1,nodrug,0.6779126320156985 -4579,CGCCTCTTAACAATGGTCTTGTGAAGGCTT,NF1,28.5,809.0,0.711956522,0,PLX_2uM,0.5780913449637693 -4580,TCCTTCTTACTGAAAATGGGGACCTGGATG,MED12,6.11,133.0,0.7640692640000001,0,AZD_200nM,0.6022966502726382 -4581,TCCTTCTTACTGAAAATGGGGACCTGGATG,MED12,6.11,133.0,0.841991342,1,PLX_2uM,0.6022966502726382 -4582,AGGGTCTTCAGGAACCCCATGGTCTGGCCA,CD45,57.35,648.0,0.45126353799999996,0,nodrug,0.48191373001813426 -4583,CACCTCTTCCTTCTTACTGAAAATGGGGAC,MED12,6.25,136.0,0.5021645020000001,0,AZD_200nM,0.4306200806285212 -4584,CACCTCTTCCTTCTTACTGAAAATGGGGAC,MED12,6.25,136.0,0.41774891799999997,0,PLX_2uM,0.4306200806285212 -4585,CAGGTCTTCTGCCAAGGATCTCCGTGGTCT,CD5,22.27,110.0,0.949790795,1,nodrug,0.7522305948255882 -4586,GGGGTCTTCTGGAAGTGGGGTGCTGGGACC,CD13,26.47,256.0,0.27582417600000003,0,nodrug,0.4191174054163142 -4587,CTCATCTTCTGGGGGCAGTGGCAGTGGCTC,MED12,80.06,1743.0,0.224025974,0,AZD_200nM,0.37423319397357574 -4588,CTCATCTTCTGGGGGCAGTGGCAGTGGCTC,MED12,80.06,1743.0,0.239177489,0,PLX_2uM,0.37423319397357574 -4589,CACTTCTTCTTACTGATATTTCAATGGAAA,NF1,86.9,2467.0,0.34918478299999994,0,PLX_2uM,0.4438182211994377 -4590,ATTGTCTTCTTTGGAGACTTCTGCTGGTGC,CD43,22.28,88.0,0.760869565,0,nodrug,0.45936629755872915 -4591,AACGTCTTGCTCGAGATGTGATGAAGGAGA,HPRT1,24.77,54.0,0.71875,0,6TG_2ug/mL,0.6112246116883671 -4592,TCCATCTTGGTGATCCCGTTTCGCCGGTAC,TADA2B,70.48,296.0,0.615789474,0,AZD_200nM,0.5063159787082522 -4593,TCAGTCTTGTCAATGTCGGGGGGCTGGGAG,CD13,15.2,147.0,0.054945055,0,nodrug,0.3202667489101104 -4594,GCGATCTTGTCCAGAGCTTTCCGAAGGATG,CCDC101,26.62,78.0,0.959731544,1,AZD_200nM,0.6256726836830306 -4595,TGGATCTTTAATTGCAGCTACGTGTGGATT,CD13,60.29,583.0,0.079120879,0,nodrug,0.6021587681229278 -4596,GCAGTCTTTAGTCGCATTTCTACCAGGTTA,NF1,5.6,159.0,0.653532609,0,PLX_2uM,0.545113598888741 -4597,GAATTCTTTATGAATACTTAGCAGAGGCCA,NF1,93.13,2644.0,0.464673913,0,PLX_2uM,0.3524489037342037 -4598,TGGCTCTTTCTTGACACATCTGTCCGGGAC,CD5,43.12,213.0,0.389121339,0,nodrug,0.4733350643971844 -4599,TTCTTCTTTGAGCCTACCTTGGCCTGGACG,NF2,24.87,148.0,0.843049327,1,PLX_2uM,0.4867384016558519 -4600,ATGATGAAAAGCAGCTGATGGATGTGGAGC,CD45,40.27,455.0,0.577617329,0,nodrug,0.5945491803100119 -4601,TGGCTGAAAAGGCCCAGATCACCGAGGAGG,NF2,65.71,391.0,0.64573991,0,PLX_2uM,0.7852936012774071 -4602,GTCTTGAAAAGGTGAAGGAGGATGCGGCAG,MED12,53.97,1175.0,0.995670996,1,AZD_200nM,0.6547343437001435 -4603,GTCTTGAAAAGGTGAAGGAGGATGCGGCAG,MED12,53.97,1175.0,0.9707792209999999,1,PLX_2uM,0.6547343437001435 -4604,GCATTGAAACAATGATGTTAAATCTGGTCA,NF1,35.01,994.0,0.039402174,0,PLX_2uM,0.36969740121218286 -4605,TTTTTGAAAGGATATAATTGACACTGGCAA,HPRT1,63.3,138.0,0.296875,0,6TG_2ug/mL,0.5258598982205184 -4606,GTAGTGAACAGGACTCTGAGCCAGGGGCCC,MED12,53.61,1167.0,0.984848485,1,AZD_200nM,0.7266640689488382 -4607,GTAGTGAACAGGACTCTGAGCCAGGGGCCC,MED12,53.61,1167.0,0.9512987009999999,1,PLX_2uM,0.7266640689488382 -4608,CAAGTGAACCAGAAGGATAACTTCTGGCTG,MED12,4.69,102.0,0.711038961,0,AZD_200nM,0.46427049115800345 -4609,CAAGTGAACCAGAAGGATAACTTCTGGCTG,MED12,4.69,102.0,0.7370129870000001,0,PLX_2uM,0.46427049115800345 -4610,AGTATGAACCATTATCCCTCCTCCTGGCGT,CD33,30.22,110.0,0.792207792,0,nodrug,0.5954710415216085 -4611,GCCCTGAACGAAGACCTGAAAACGTGGACG,H2-K,41.46,153.0,0.5443786979999999,0,nodrug,0.6999763175963257 -4612,AGGCTGAACGCACGAGGGATGAGTTGGAGA,NF2,59.66,355.0,0.686098655,0,PLX_2uM,0.5861613235995786 -4613,CGGGTGAACTACGACGAAGAGAACTGGAGG,CD13,65.98,638.0,0.7934065929999999,0,nodrug,0.49657620057512214 -4614,TCAATGAACTCAAGACAGAAATCGAGGCCT,NF2,91.76,546.0,0.295964126,0,PLX_2uM,0.5131477835540039 -4615,ACTTTGAACTGGTAAGGTTAAGGCTGGACC,NF1,55.02,1562.0,0.392663043,0,PLX_2uM,0.5868524115495967 -4616,AAGGTGAACTGGTTCTCATCTACTAGGCAG,NF1,63.19,1794.0,0.986413043,1,PLX_2uM,0.5496458140694727 -4617,CTTGTGAACTTGTGTTGTTGCAGTTGGATA,CD5,23.48,116.0,0.171548117,0,nodrug,0.49373646778596325 -4618,GGTGTGAAGAAAATGGCAGATTTCTGGCAG,NF1,4.12,117.0,0.076086957,0,PLX_2uM,0.24174338499598733 -4619,ATGTTGAAGCGCAGCCGGCAGTCAGGGGGC,CD15,39.62,210.0,0.600732601,0,nodrug,0.5090516214504407 -4620,TGCATGAAGGTGAGCGGCGTGCCCTGGTTT,NF1,63.65,1807.0,0.9076086959999999,1,PLX_2uM,0.5485418240507263 -4621,ATCTTGAAGGTTCTGAACCGCAAAGGGACA,MED12,36.06,785.0,0.66017316,0,AZD_200nM,0.5385123776794151 -4622,ATCTTGAAGGTTCTGAACCGCAAAGGGACA,MED12,36.06,785.0,0.608225108,0,PLX_2uM,0.5385123776794151 -4623,AGCTTGAAGTAGCTCAGGCTGCTCAGGGCG,CD13,72.39,700.0,0.548351648,0,nodrug,0.38285276276861563 -4624,TCCCTGAAGTATTCATTATAGTCAAGGGCA,HPRT1,88.99,194.0,0.25,0,6TG_2ug/mL,0.4753194360455524 -4625,GCGTTGAAGTCTGGCAGGCCAATCTGGTCT,CD13,35.57,344.0,0.182417582,0,nodrug,0.3822893541380724 -4626,AATTTGAAGTGAATACACAGAGCGTGGCCT,NF1,85.77,2435.0,0.24048913,0,PLX_2uM,0.5776055025772899 -4627,ATGATGAATGGGATATGTATCCATAGGAAC,NF1,87.14,2474.0,0.7839673909999999,0,PLX_2uM,0.5422822219810527 -4628,ACAATGAATGGGCCTCACCTGGCTCGGCCT,NF2,33.45,199.0,0.7219730940000001,0,PLX_2uM,0.5407001574793491 -4629,TGGATGAATTCAGGCAACATCTACAGGCAA,CUL3,63.93,491.0,0.61038961,0,PLX_2uM,0.5388353972867208 -4630,GTATTGAATTGAAACACCTTTGTTTGGAAT,NF1,68.51,1945.0,0.52173913,0,PLX_2uM,0.395354271330073 -4631,CAGCTGACAACCAGGAGAAGATCGGGGGTG,CD33,48.35,176.0,0.818181818,1,nodrug,0.6912171347312163 -4632,CTGTTGACATCATATTGCTGACAGAGGCAA,NF1,26.21,744.0,0.94701087,1,PLX_2uM,0.749399191368666 -4633,ATACTGACATGAAGCGGCTTTCCATGGAGA,NF2,87.06,518.0,0.5201793720000001,0,PLX_2uM,0.5056522366343192 -4634,GCCATGACCCTGCCCCTGTGGATCGGGAAG,CCDC101,45.73,134.0,0.604026846,0,AZD_200nM,0.42769473721269907 -4635,GTGATGACCGGGAAGCCCATCTGCAGGGTC,CD13,56.46,546.0,0.8714285709999999,1,nodrug,0.5489910333041244 -4636,CATGTGACCGTGGACGTGTTCGGCCGGGGC,CD15,73.02,387.0,0.523809524,0,nodrug,0.40625517958018387 -4637,TGTTTGACGCCATCTCCTACAGCAAGGTGC,CD13,49.43,478.0,0.720879121,0,nodrug,0.6774965962058763 -4638,ATACTGACGTCAGTTGTGTCAAGAAGGAAA,TADA1,57.61,193.0,0.165137615,0,AZD_200nM,0.5610752704210777 -4639,TGATTGACGTGCAGATTCCAGAGACGGAAC,CD28,45.87,100.0,0.905405405,1,nodrug,0.6399623143916191 -4640,CCCTTGACTATAATGAATACTTCAGGGATT,HPRT1,91.28,199.0,0.265625,0,6TG_2ug/mL,0.40664546199398705 -4641,TACATGACTGCACACCAAAAGAAAAGGCTA,CD45,11.15,126.0,0.624548736,0,nodrug,0.5568619065186048 -4642,CATTTGACTGGTATTTCCACTAGAAGGAAT,NF1,22.44,637.0,0.258152174,0,PLX_2uM,0.45404033905749464 -4643,TTGATGACTTCTGGAGGATGATCTGGGAGC,CD45,50.09,566.0,0.754512635,0,nodrug,0.6158451848955094 -4644,GTTTTGAGAAGATCCGCCCTGGAGAGGATG,MED12,12.31,268.0,0.70995671,0,AZD_200nM,0.611156525633696 -4645,GTTTTGAGAAGATCCGCCCTGGAGAGGATG,MED12,12.31,268.0,0.7164502159999999,0,PLX_2uM,0.611156525633696 -4646,CCCCTGAGAAGCCAGATGTCGAGAAGGAGG,MED12,32.48,707.0,0.41991342,0,AZD_200nM,0.6301375662298284 -4647,CCCCTGAGAAGCCAGATGTCGAGAAGGAGG,MED12,32.48,707.0,0.44047619,0,PLX_2uM,0.6301375662298284 -4648,TGTGTGAGAAGTCTATGAGCTTCAAGGTCA,TADA1,13.73,46.0,0.28440367,0,AZD_200nM,0.5194851446610783 -4649,ATCCTGAGAATGCTGAAGAGGAGCTGGTTC,NF2,18.15,108.0,0.49775784799999995,0,PLX_2uM,0.5437057733559768 -4650,GTAGTGAGACACAGCTCCCGTTCGGGGCCT,CD5,48.79,241.0,0.41841004200000004,0,nodrug,0.6109769226487038 -4651,CTCTTGAGAGAGCTGAAGCTCATGCGGGAA,NF2,1.51,9.0,0.470852018,0,PLX_2uM,0.5547627323140457 -4652,ATAATGAGAGGTATTCAGGAGACCTGGAGT,CUL3,50.0,384.0,0.9090909090000001,1,PLX_2uM,0.5956476838168439 -4653,AGTATGAGATGGACAGCGAGTTCGAGGGGG,CD13,18.82,182.0,0.38021978,0,nodrug,0.5572006408700896 -4654,AATCTGAGCAAAGGCACGGGCAGCCGGAAG,CUL3,1.3,10.0,0.590909091,0,PLX_2uM,0.4696609388616839 -4655,CCCCTGAGCAGCAATCATCATTTCTGGTTT,CD45,75.84,857.0,0.054151625,0,nodrug,0.14828396544498243 -4656,TCCCTGAGCATCGTAGACGCCAGGAGGAGG,CD33,29.95,109.0,0.9718614720000001,1,nodrug,0.7088992348242928 -4657,GGCCTGAGCCCCGCGCCATGGCCGGGGCCA,NF2,0.34,2.0,0.165919283,0,PLX_2uM,0.41931555855227903 -4658,TGCCTGAGCCCCTCACCCTGAGATGGGGTA,H2-K,79.67,294.0,0.147928994,0,nodrug,0.4056314586812117 -4659,GATATGAGCCGCGGGCGCGGTGGATGGAGC,H2-K,19.51,72.0,0.74556213,0,nodrug,0.5487773110568445 -4660,TCTTTGAGCCTACCTTGGCCTGGACGGCGT,NF2,24.71,147.0,0.811659193,1,PLX_2uM,0.5648274151139437 -4661,CCGCTGAGCCTGATCTGCCTAGGTGGGTGA,CD5,27.13,134.0,0.891213389,1,nodrug,0.6209059153740875 -4662,ACGGTGAGCGCCTGGCCGCCCTCCTGGGCC,CD5,52.23,258.0,0.142259414,0,nodrug,0.2389498659027394 -4663,TCAGTGAGCTCTTCACTACTGTGTTGGACA,MED12,72.67,1582.0,0.627705628,0,AZD_200nM,0.5746944680612854 -4664,TCAGTGAGCTCTTCACTACTGTGTTGGACA,MED12,72.67,1582.0,0.574675325,0,PLX_2uM,0.5746944680612854 -4665,GGATTGAGCTGCGGTGTCTTGAAAAGGTGA,MED12,54.2,1180.0,0.887445887,1,AZD_200nM,0.6142960227086507 -4666,GGATTGAGCTGCGGTGTCTTGAAAAGGTGA,MED12,54.2,1180.0,0.7792207790000001,0,PLX_2uM,0.6142960227086507 -4667,AGGCTGAGCTGCTTCTCAAATCCTCGGATC,MED12,41.85,911.0,0.807359307,1,AZD_200nM,0.6071185659617081 -4668,AGGCTGAGCTGCTTCTCAAATCCTCGGATC,MED12,41.85,911.0,0.8365800870000001,1,PLX_2uM,0.6071185659617081 -4669,CGCATGAGCTTCAGCTCTCTCAAGAGGAAG,NF2,2.52,15.0,0.457399103,0,PLX_2uM,0.5986662954251039 -4670,GGTCTGAGGAGACAGCTGACCTGTTGGCTG,NF2,64.37,383.0,0.41704035899999997,0,PLX_2uM,0.6099839641058186 -4671,CAGCTGAGGCCAAAAACCAGGGGCCGGTGC,MED12,16.4,357.0,0.45670995700000006,0,AZD_200nM,0.5476675856384265 -4672,CAGCTGAGGCCAAAAACCAGGGGCCGGTGC,MED12,16.4,357.0,0.520562771,0,PLX_2uM,0.5476675856384265 -4673,TGGCTGAGGCGGACGGGGTGGTGGAGGCCA,CD13,5.07,49.0,0.231868132,0,nodrug,0.3538661349501705 -4674,AAACTGAGGTGCCACGGGCCACACTGGAAC,CD43,54.94,217.0,0.34057971,0,nodrug,0.5560136696125414 -4675,GCATTGAGTAAGTTTGACATTGCAAGGACC,NF1,40.44,1148.0,0.35326087,0,PLX_2uM,0.5754553336963288 -4676,ACCTTGATATAGGGCTGGTTGGAGAGGGTG,THY1,50.62,82.0,0.64516129,0,nodrug,0.5552733467312855 -4677,GCGCTGATCACCTACGCTTGCTGGGGGCAG,CD15,32.45,172.0,0.7142857140000001,0,nodrug,0.6629418277375388 -4678,GCCCTGATCCATGCGCCCCCACAGCGGGTA,CCDC101,86.69,254.0,0.651006711,0,AZD_200nM,0.5645546092325558 -4679,TGGCTGATCGGTTTGAGAGATTGGTGGAAC,NF1,42.55,1208.0,0.895380435,1,PLX_2uM,0.7062247274805091 -4680,CAGGTGATCTCTGGCTGTGAAGTGGGGTCC,H2-K,33.6,124.0,0.402366864,0,nodrug,0.6643714337891101 -4681,CTCGTGATCTGCTCCAGAACATTCCGGGAG,MED12,39.09,851.0,0.11904761900000001,0,AZD_200nM,0.37054811142240435 -4682,CTCGTGATCTGCTCCAGAACATTCCGGGAG,MED12,39.09,851.0,0.130952381,0,PLX_2uM,0.37054811142240435 -4683,TGGTTGATGAAAACAACATGAATAAGGTAA,NF1,10.39,295.0,0.19701087,0,PLX_2uM,0.36761995256202123 -4684,TTGCTGATGAGGGCAGACTGTTCCTGGCTG,CD45,42.39,479.0,0.34657039700000003,0,nodrug,0.36969297830000214 -4685,GAATTGATGCCATGCTGGAAGGCCTGGAAG,CD45,61.77,698.0,0.0433213,0,nodrug,0.437564988957523 -4686,AGATTGATGCTGTGTATTGTCACTCGGTTG,NF1,15.32,435.0,0.544836957,0,PLX_2uM,0.6225278032617481 -4687,AGGATGATGCTTGCCACAGTGCCTGGGGCC,CD5,76.32,377.0,0.09205020900000001,0,nodrug,0.3490307596350567 -4688,GCTGTGATGGGTCACATGGGCCTTTGGGGA,H2-K,56.37,208.0,0.017751479,0,nodrug,0.23488375449339813 -4689,TTCATGATGTCCCGCACGGTGGTGGGGAGT,CD13,55.22,534.0,0.401098901,0,nodrug,0.5639967121524331 -4690,GAGGTGATGTGGACAGCGTAGCTCCGGCGC,CD15,92.64,491.0,0.9157509159999999,1,nodrug,0.48914006024122325 -4691,CACTTGATTCTTGGCTTGGTGACCTGGTGG,CD43,61.01,241.0,0.326086957,0,nodrug,0.4332560632169196 -4692,ACTATGATTTACTGCATCACTTGTAGGACA,NF1,52.45,1489.0,0.279891304,0,PLX_2uM,0.37596904974297646 -4693,TCTTTGATTTGGTGTGCCGGACTCTGGGGC,NF2,8.91,53.0,0.30044843,0,PLX_2uM,0.3738580590668715 -4694,AGTCTGCAAACCGTAGGAAGAGCTGGGAGT,MED12,88.84,1934.0,0.33008658,0,AZD_200nM,0.3859968937250526 -4695,AGTCTGCAAACCGTAGGAAGAGCTGGGAGT,MED12,88.84,1934.0,0.25974026,0,PLX_2uM,0.3859968937250526 -4696,CTACTGCAACGCTATCGCCCAGGGCGGGGA,CD13,83.04,803.0,0.6725274729999999,0,nodrug,0.6414100387817804 -4697,TCTCTGCAATAATGCTGCTGAAGTTGGAAC,MED12,3.35,73.0,0.06818181799999999,0,AZD_200nM,0.3950650243696381 -4698,TCTCTGCAATAATGCTGCTGAAGTTGGAAC,MED12,3.35,73.0,0.018398268,0,PLX_2uM,0.3950650243696381 -4699,GAGCTGCAATAGTCACTGGAGCTGTGGTGG,H2-K,87.26,322.0,0.46153846200000004,0,nodrug,0.5182836419994132 -4700,AACATGCACAAAGAAAAAATGCTCCGGGCC,TADA2B,67.62,284.0,0.2,0,AZD_200nM,0.46187812365885994 -4701,ATTCTGCACAATGAGAACTCCGACAGGGGT,NF2,95.29,567.0,0.013452915,0,PLX_2uM,0.2703857755833763 -4702,ATTGTGCACACGGCTGCCACGCCCAGGAGG,CD13,1.96,19.0,0.664835165,0,nodrug,0.5386557190219088 -4703,TGTTTGCACACTGCAGAGGCCTGCTGGGCA,CD5,15.18,75.0,0.10041841,0,nodrug,0.35784572812433524 -4704,GAGGTGCACCACCAGGTACTCGGTGGGCTC,CD13,16.55,160.0,0.930769231,1,nodrug,0.6515783757930009 -4705,ACCATGCACCTCCGTACCTTCATGGGGCCA,CD13,74.25,718.0,0.8428571429999999,1,nodrug,0.6014233701760252 -4706,GCCTTGCACCTTCTCCTCCTCTTTGGGGCA,CD43,2.28,9.0,0.115942029,0,nodrug,0.13121886090502297 -4707,CTCCTGCACTTGCAGCCAGAAATTTGGATC,CD33,5.77,21.0,0.04978355,0,nodrug,0.2241108882041799 -4708,AATGTGCAGAAAAGCTATTTGACTTGGTGG,NF1,8.84,251.0,0.979619565,1,PLX_2uM,0.5796056390644752 -4709,TCCTTGCAGAATCCAAGAAAACAGGGGCCC,NF1,18.1,514.0,0.7527173909999999,0,PLX_2uM,0.7485698736972463 -4710,ACTATGCAGCAATCTCTGAGACCAAGGTTA,MED12,7.95,173.0,0.555194805,0,AZD_200nM,0.6713940725902424 -4711,ACTATGCAGCAATCTCTGAGACCAAGGTTA,MED12,7.95,173.0,0.577922078,0,PLX_2uM,0.6713940725902424 -4712,CATCTGCAGCCTGCATCTGTGTAGTGGCCA,CD13,21.72,210.0,0.771428571,0,nodrug,0.6209862981102425 -4713,GAACTGCAGCGGTACCGGCGAAACGGGATC,TADA2B,70.71,297.0,0.21052631600000002,0,AZD_200nM,0.37734916809011065 -4714,ACTTTGCAGCGTACCGCCCCTGACAGGGAC,CD28,101.0,300.54649889999996,0.33783783799999995,0,nodrug,0.27659861359149346 -4715,GCAGTGCAGGAGGGTAAGGAGATGTGGGAG,NF1,97.22,2760.0,0.16304347800000002,0,PLX_2uM,0.14568536664085469 -4716,CACCTGCAGGTAGTGGCTGGTTCTGGGTGT,MED12,84.75,1845.0,0.27056277100000004,0,AZD_200nM,0.3165704755470196 -4717,CACCTGCAGGTAGTGGCTGGTTCTGGGTGT,MED12,84.75,1845.0,0.33766233799999995,0,PLX_2uM,0.3165704755470196 -4718,ACATTGCAGGTCCGTGCAAAGTTGCGGGAG,MED12,19.34,421.0,0.13203463199999999,0,AZD_200nM,0.5249097930798552 -4719,ACATTGCAGGTCCGTGCAAAGTTGCGGGAG,MED12,19.34,421.0,0.26082251100000003,0,PLX_2uM,0.5249097930798552 -4720,GCGTTGCAGTAGACGGTGGACCGCAGGTTG,CD13,82.01,793.0,0.7813186809999999,0,nodrug,0.4458710619686482 -4721,TGGCTGCAGTGACAGGAGGGTCACTGGCTA,CD43,31.14,123.0,0.311594203,0,nodrug,0.5029738163542893 -4722,TTTTTGCATCTTGGCAGGCTACACTGGTAA,NF1,92.46,2625.0,0.805706522,1,PLX_2uM,0.2920621585028872 -4723,GATCTGCATGAATTAGTTTCACCATGGACA,NF1,17.51,497.0,0.433423913,0,PLX_2uM,0.650542726399894 -4724,CTTATGCATGAGGCACTCAAACTGCGGCTC,MED12,70.51,1535.0,0.508658009,0,AZD_200nM,0.6595213283400614 -4725,CTTATGCATGAGGCACTCAAACTGCGGCTC,MED12,70.51,1535.0,0.531385281,0,PLX_2uM,0.6595213283400614 -4726,AGATTGCCACCAAGCCCACGTACCCGGTGA,NF2,80.84,481.0,0.434977578,0,PLX_2uM,0.5324846043111241 -4727,CCCATGCCACCAGCCCCTGTTTCCTGGACA,CD15,66.6,353.0,0.446886447,0,nodrug,0.2842169858101528 -4728,CTGCTGCCACCTTGGCTTTAGAAGAGGACC,NF1,61.08,1734.0,0.479619565,0,PLX_2uM,0.6456178357451249 -4729,AGAATGCCAGCCCATCAGTTTCTGTGGGGT,CD43,12.66,50.0,0.449275362,0,nodrug,0.524675585594443 -4730,CTGGTGCCAGGACACGAAGGCCTGAGGTGC,CD5,34.01,168.0,0.665271967,0,nodrug,0.6365028320079873 -4731,TACTTGCCAGGCTTCGCAGCCCCGGGGAGT,CD15,57.55,305.0,0.9267399270000001,1,nodrug,0.6985503515702125 -4732,GCCATGCCATCAAGAAAATCACCAAGGATA,MED12,35.6,775.0,0.444805195,0,AZD_200nM,0.7027477740713001 -4733,GCCATGCCATCAAGAAAATCACCAAGGATA,MED12,35.6,775.0,0.5021645020000001,0,PLX_2uM,0.7027477740713001 -4734,AGGATGCCCCATCACTCACCGGGGAGGCTG,CD33,84.62,308.0,0.385281385,0,nodrug,0.6134345486703252 -4735,GCTGTGCCCCGAGTGCTTCTCGGCCGGCGC,TADA2B,8.81,37.0,0.473684211,0,AZD_200nM,0.49610834170140944 -4736,TCTGTGCCCGATTGATGACAGGGATGGCCT,CD13,67.63,654.0,0.751648352,0,nodrug,0.6189655243448405 -4737,ACTGTGCCCTCCAGATGCGGTCTGAGGAGA,NF2,63.36,377.0,0.278026906,0,PLX_2uM,0.5928791123018909 -4738,ACATTGCCCTCCATGTACTCGCTGCGGTAG,CD13,20.27,196.0,0.547252747,0,nodrug,0.6706347582586454 -4739,GCAATGCCCTTATGCACGTCTGTGTGGGGC,MED12,48.78,1062.0,0.278138528,0,AZD_200nM,0.5639890005020274 -4740,GCAATGCCCTTATGCACGTCTGTGTGGGGC,MED12,48.78,1062.0,0.286796537,0,PLX_2uM,0.5639890005020274 -4741,CGAATGCCGAGTTCAACTGCGACGGGGATT,CD28,40.37,88.0,0.6081081079999999,0,nodrug,0.6926719041745274 -4742,ATCCTGCCGATGACCCAGAGCACAAGGAGG,MED12,29.67,646.0,0.470779221,0,AZD_200nM,0.5569992448081846 -4743,ATCCTGCCGATGACCCAGAGCACAAGGAGG,MED12,29.67,646.0,0.656926407,0,PLX_2uM,0.5569992448081846 -4744,ACAGTGCCGCTGATGATGATCTCCAGGAGG,MED12,71.8,1563.0,0.6634199129999999,0,AZD_200nM,0.5027458584512182 -4745,ACAGTGCCGCTGATGATGATCTCCAGGAGG,MED12,71.8,1563.0,0.582251082,0,PLX_2uM,0.5027458584512182 -4746,CTCTTGCCGGCAGAGTGGAATACATGGAAA,NF2,88.74,528.0,0.798206278,0,PLX_2uM,0.5393052395389291 -4747,AGATTGCCGGTCTCTACAATGACTCGGAGC,CCDC101,36.18,106.0,0.355704698,0,AZD_200nM,0.6253624184832453 -4748,TTGGTGCCGTGGTCCTGGGGCCGTGGGGTG,CD33,55.49,202.0,0.545454545,0,nodrug,0.42077083916474706 -4749,TGGCTGCCTCCCAGAACCGCATCGTGGATG,MED12,55.81,1215.0,0.822510823,1,AZD_200nM,0.7319097081981075 -4750,TGGCTGCCTCCCAGAACCGCATCGTGGATG,MED12,55.81,1215.0,0.8744588740000001,1,PLX_2uM,0.7319097081981075 -4751,GTTTTGCCTCCTCCTCGGTGATCTGGGCCT,NF2,65.55,390.0,0.9058295959999999,1,PLX_2uM,0.4265607283934021 -4752,TTTCTGCCTCGGACAGTCTGGAAGGGGTGG,CD5,5.26,26.0,0.6359832639999999,0,nodrug,0.5904467613024893 -4753,ATCATGCCTGCCTCATCCTCAACCAGGACC,MED12,43.18,940.0,0.768398268,0,AZD_200nM,0.6704868711205001 -4754,ATCATGCCTGCCTCATCCTCAACCAGGACC,MED12,43.18,940.0,0.7132034629999999,0,PLX_2uM,0.6704868711205001 -4755,ACAGTGCCTGGGGCCAGGCCCGCTGGGTTT,CD5,75.3,372.0,0.284518828,0,nodrug,0.3402521810465439 -4756,ACAGTGCCTGTGATGCGGGCTGCCTGGCTC,MED12,7.21,157.0,0.11038961,0,AZD_200nM,0.40617122973537506 -4757,ACAGTGCCTGTGATGCGGGCTGCCTGGCTC,MED12,7.21,157.0,0.187229437,0,PLX_2uM,0.40617122973537506 -4758,TCATTGCCTTCCGTTCCAGTTACCGGGACA,NF1,76.86,2182.0,0.596467391,0,PLX_2uM,0.4190126819182798 -4759,TTTCTGCCTTGTTTCTTTCCTCTCTGGGTC,CUL3,89.58,688.0,0.006493506,0,PLX_2uM,0.23570879569922845 -4760,AGTGTGCGCCTGGATGCCCCAGGGCGGGGG,CD15,47.74,253.0,0.21611721600000003,0,nodrug,0.5941569834167838 -4761,AGAATGCGCTTTATGCGCTGCCGCTGGGGG,MED12,61.6,1341.0,0.019480518999999998,0,AZD_200nM,0.3645334982008117 -4762,AGAATGCGCTTTATGCGCTGCCGCTGGGGG,MED12,61.6,1341.0,0.002164502,0,PLX_2uM,0.3645334982008117 -4763,ACTATGCGGAGCCCACCTGGAACTTGGTAA,CD13,44.47,430.0,0.651648352,0,nodrug,0.5156182567129102 -4764,TGGTTGCGGGAAATATTGATCTGCAGGAAT,NF1,21.35,606.0,0.21739130399999998,0,PLX_2uM,0.48834651504461374 -4765,GCAATGCGGGAATCGGCAGACACGAGGGCC,CCDC101,1.37,4.0,0.33557047,0,AZD_200nM,0.540492280249963 -4766,ACCGTGCGGGACATCATGAACCGCTGGACC,CD13,56.05,542.0,0.585714286,0,nodrug,0.5831562725620875 -4767,GCTTTGCGTAGAGACTTTACCACTTGGAAA,CD45,90.71,1025.0,0.8267148009999999,1,nodrug,0.48247620563413557 -4768,TGGCTGCTACTGACCTCCTGCAGGTGGTCC,CD13,53.88,521.0,0.628571429,0,nodrug,0.6335735917089584 -4769,CTGCTGCTACTGCTGCCCCTGCTGTGGGCA,CD33,2.75,10.0,0.40692640700000005,0,nodrug,0.4654113965112829 -4770,CGATTGCTAGGCCCGGTATGGGTAAGGTCC,NF1,57.98,1646.0,0.8138586959999999,1,PLX_2uM,0.5218929034853111 -4771,TGACTGCTCACACCATCCAGCTGCAGGGCC,MED12,14.15,308.0,0.267316017,0,AZD_200nM,0.4509462973654692 -4772,TGACTGCTCACACCATCCAGCTGCAGGGCC,MED12,14.15,308.0,0.268398268,0,PLX_2uM,0.4509462973654692 -4773,CTGCTGCTCAGCATCATCAGGGGGTGGGTG,TADA1,74.63,250.0,0.403669725,0,AZD_200nM,0.3931539325148291 -4774,GCCATGCTCATCCCCAGAGACAGCAGGCTG,MED12,2.34,51.0,0.724025974,0,AZD_200nM,0.5585146894633541 -4775,GCCATGCTCATCCCCAGAGACAGCAGGCTG,MED12,2.34,51.0,0.687229437,0,PLX_2uM,0.5585146894633541 -4776,TGATTGCTCATGAGCTGGCCCACCAGGTAG,CD13,40.54,392.0,0.31098901100000004,0,nodrug,0.47201859868467483 -4777,CTCCTGCTCCATCCACCGCGCCCGCGGCTC,H2-K,18.97,70.0,0.73964497,0,nodrug,0.5653621245276174 -4778,TTGCTGCTCTACCACACACACCTGAGGCCC,MED12,79.47,1730.0,0.814935065,1,AZD_200nM,0.6225093446159657 -4779,TTGCTGCTCTACCACACACACCTGAGGCCC,MED12,79.47,1730.0,0.765151515,0,PLX_2uM,0.6225093446159657 -4780,AGAATGCTGAAGAGGAGCTGGTTCAGGAGA,NF2,18.49,110.0,0.582959641,0,PLX_2uM,0.3832039591478959 -4781,GACATGCTGAGCGTGCTCATCAATGGGACA,MED12,73.08,1591.0,0.158008658,0,AZD_200nM,0.43190621868351003 -4782,GACATGCTGAGCGTGCTCATCAATGGGACA,MED12,73.08,1591.0,0.134199134,0,PLX_2uM,0.43190621868351003 -4783,CTGATGCTGAGTGAATATTCCATGAGGTCG,MED12,40.42,880.0,0.974025974,1,AZD_200nM,0.77818365363132 -4784,CTGATGCTGAGTGAATATTCCATGAGGTCG,MED12,40.42,880.0,0.9794372290000001,1,PLX_2uM,0.77818365363132 -4785,GTCTTGCTGCAGCTCTTCATGATTTGGATG,TADA1,93.43,313.0,0.174311927,0,AZD_200nM,0.21791253701676302 -4786,CAGCTGCTGCCCTCACTTGTCACCAGGCTT,CCDC101,47.44,139.0,0.19463087199999998,0,AZD_200nM,0.4723357593112564 -4787,AGCCTGCTGCTCAGCATCATCAGGGGGTGG,TADA1,74.93,251.0,0.339449541,0,AZD_200nM,0.5432419279249239 -4788,CTGTTGCTGCTGCTGCTGCTGCTCAGGTAG,MED12,94.21,2051.0,0.050865800999999995,0,AZD_200nM,0.18011018899326503 -4789,CTGTTGCTGCTGCTGCTGCTGCTCAGGTAG,MED12,94.21,2051.0,0.097402597,0,PLX_2uM,0.18011018899326503 -4790,TTGTTGCTGCTGGAGGAGGACAGGGGGTCG,CD13,38.47,372.0,0.6989010990000001,0,nodrug,0.5895871305356989 -4791,TTTCTGCTGGAAACTGAGGTGCCACGGGCC,CD43,55.7,220.0,0.094202899,0,nodrug,0.4976238104982602 -4792,TAGATGCTGGCGATGATGTCATAGAGGAAC,CD45,92.65,1047.0,0.722021661,0,nodrug,0.549355248376561 -4793,AGGCTGCTGGGGAAGAATTGGAGAAGGGTC,MED12,66.7,1452.0,0.7813852809999999,0,AZD_200nM,0.646236015032614 -4794,AGGCTGCTGGGGAAGAATTGGAGAAGGGTC,MED12,66.7,1452.0,0.712121212,0,PLX_2uM,0.646236015032614 -4795,AAGGTGCTGGGGAATAGTACCTGGGGGATG,MED12,34.08,742.0,0.898268398,1,AZD_200nM,0.7881267792819472 -4796,AAGGTGCTGGGGAATAGTACCTGGGGGATG,MED12,34.08,742.0,0.941558442,1,PLX_2uM,0.7881267792819472 -4797,GGCCTGCTGGTGCACATAGCCACTGGGCCG,MED12,91.73,1997.0,0.22835497800000001,0,AZD_200nM,0.28721367026744776 -4798,GGCCTGCTGGTGCACATAGCCACTGGGCCG,MED12,91.73,1997.0,0.25108225100000003,0,PLX_2uM,0.28721367026744776 -4799,ATTCTGCTGTACTGCCTTGGGTTTCGGGCC,NF1,18.25,518.0,0.12771739099999999,0,PLX_2uM,0.1793587442862159 -4800,AAGCTGCTGTCTGTTGCTGCTGCTGGGTCT,MED12,98.62,2147.0,0.010822511000000002,0,AZD_200nM,0.05043664136191033 -4801,AAGCTGCTGTCTGTTGCTGCTGCTGGGTCT,MED12,98.62,2147.0,0.005411255,0,PLX_2uM,0.05043664136191033 -4802,GTGCTGCTGTGGTGGGAGCCCTTCGGGGGG,CD15,37.36,198.0,0.172161172,0,nodrug,0.17514171432447811 -4803,CCGATGCTGTTCTGAGGGAAACGCTGGCTA,NF1,49.17,1396.0,0.576086957,0,PLX_2uM,0.6212886074499726 -4804,GACCTGCTTATGTGCCCTCAGCACCGGCCC,MED12,16.31,355.0,0.503246753,0,AZD_200nM,0.5517895366235085 -4805,GACCTGCTTATGTGCCCTCAGCACCGGCCC,MED12,16.31,355.0,0.693722944,0,PLX_2uM,0.5517895366235085 -4806,TCCCTGCTTCATACGGTGAGACAATGGCAG,NF1,49.98,1419.0,0.737771739,0,PLX_2uM,0.6366833139715796 -4807,CCTCTGCTTCCAGGCCTTCCAGCATGGCAT,CD45,61.59,696.0,0.6750902529999999,0,nodrug,0.5509588839184562 -4808,TTGGTGCTTCCCGGACTCCCCAAGAGGTGA,TADA2B,24.76,104.0,0.9842105259999999,1,AZD_200nM,0.7381090585500831 -4809,CATTTGCTTGCAGTGCCACTCCAGAGGATT,NF1,83.41,2368.0,0.514945652,0,PLX_2uM,0.5235219707275308 -4810,CTGCTGCTTGGAGTGGATGCCCTGGGGCTT,NF2,40.17,239.0,0.542600897,0,PLX_2uM,0.667525717938572 -4811,TACTTGCTTTACACAGTTTGACACAGGCAA,NF1,11.45,325.0,0.648097826,0,PLX_2uM,0.6186840524688461 -4812,ACTCTGGAACAATCAGGAGAAAATTGGGCA,NF1,53.43,1517.0,0.395380435,0,PLX_2uM,0.3401523084102318 -4813,ACTCTGGAACTCCGTTGGAGCAGGCGGTGC,CD13,78.7,761.0,0.8615384620000001,1,nodrug,0.5287403924927426 -4814,CTTCTGGAAGGTTCCATCCCCTGCAGGCCT,H2-K,69.92,258.0,0.09467455599999999,0,nodrug,0.399643265850962 -4815,GACGTGGAAGTCTGTGTCGGGAATGGGAAT,CD28,32.11,70.0,0.148648649,0,nodrug,0.43226150193428176 -4816,GTGGTGGAATTCTACAATGGCAGCTGGGGT,CD5,36.44,180.0,0.020920502,0,nodrug,0.462281789502402 -4817,TACCTGGACAAAGTCCTAAAGAAAAGGATT,TADA2B,95.95,403.0,0.121052632,0,AZD_200nM,0.24408596399204424 -4818,TACGTGGACATCTTGGGCGTGGTGTGGAAC,CD13,28.02,271.0,0.356043956,0,nodrug,0.6204847771399179 -4819,TGACTGGACCCATGGGTGGGCTATAGGTTG,NF1,30.43,864.0,0.263586957,0,PLX_2uM,0.3999114045972764 -4820,TGCCTGGACGCCCTGGGCACTCATTGGAGT,MED12,93.43,2034.0,0.115800866,0,AZD_200nM,0.1852454152615672 -4821,TGCCTGGACGCCCTGGGCACTCATTGGAGT,MED12,93.43,2034.0,0.047619048,0,PLX_2uM,0.1852454152615672 -4822,AGGTTGGACGGGGCAATAGGCAAGTGGTCA,MED12,18.24,397.0,0.712121212,0,AZD_200nM,0.7394560406892686 -4823,AGGTTGGACGGGGCAATAGGCAAGTGGTCA,MED12,18.24,397.0,0.706709957,0,PLX_2uM,0.7394560406892686 -4824,CCATTGGACGGGTACTTCATACTTTGGAAG,MED12,21.08,459.0,0.806277056,1,AZD_200nM,0.5045816200965062 -4825,CCATTGGACGGGTACTTCATACTTTGGAAG,MED12,21.08,459.0,0.756493506,0,PLX_2uM,0.5045816200965062 -4826,ACCGTGGACGTGTTCGGCCGGGGCGGGCCG,CD15,73.4,389.0,0.212454212,0,nodrug,0.3331661717555792 -4827,TCTTTGGACTGCAGTACACAATCAAGGACA,NF2,11.43,68.0,0.9327354259999999,1,PLX_2uM,0.6297353574111784 -4828,GGGATGGACTGCCCTTCCCCTCACAGGGCA,MED12,31.88,694.0,0.42207792200000005,0,AZD_200nM,0.43977267568775386 -4829,GGGATGGACTGCCCTTCCCCTCACAGGGCA,MED12,31.88,694.0,0.38203463200000004,0,PLX_2uM,0.43977267568775386 -4830,TGGTTGGAGAGGGTGACGCGGGAGCGGTAC,THY1,47.53,77.0,0.193548387,0,nodrug,0.48516842241805735 -4831,CCACTGGAGAGTCCCTGGATATAATGGCTC,CD33,18.41,67.0,0.192640693,0,nodrug,0.3894892902678542 -4832,GAATTGGAGCCACTTAGCATCACCTGGATA,CD5,6.88,34.0,0.29288702899999997,0,nodrug,0.5698318245043372 -4833,GTGCTGGAGCCCTTAAAAACGTACAGGCCC,CD13,10.44,101.0,0.025274725,0,nodrug,0.6227448606955468 -4834,CCTATGGAGCCTTGCCTGTAGTTAAGGTGT,MED12,84.2,1833.0,0.496753247,0,AZD_200nM,0.40566386682338607 -4835,CCTATGGAGCCTTGCCTGTAGTTAAGGTGT,MED12,84.2,1833.0,0.426406926,0,PLX_2uM,0.40566386682338607 -4836,TACCTGGAGGGCACGTGCGTGGAGTGGCTC,H2-K,50.68,187.0,0.597633136,0,nodrug,0.6282629737621562 -4837,TCATTGGAGTCATGGTACTTATCATGGGTG,MED12,93.11,2027.0,0.140692641,0,AZD_200nM,0.27109537751848023 -4838,TCATTGGAGTCATGGTACTTATCATGGGTG,MED12,93.11,2027.0,0.124458874,0,PLX_2uM,0.27109537751848023 -4839,CTTCTGGATAGGGGTCCCTGTCAGGGGCGG,CD28,101.0,300.54649889999996,0.283783784,0,nodrug,0.37327307826118616 -4840,TCCCTGGATATAATGGCTCCTTCCCGGAAC,CD33,17.31,63.0,0.712121212,0,nodrug,0.4647171587531277 -4841,CTATTGGATATGATTGCAAGAGAGCGGAAA,CUL3,22.4,172.0,0.35714285700000004,0,PLX_2uM,0.7208637173957042 -4842,TCTATGGATCCTCCTCCACTCACATGGGAC,NF1,28.88,820.0,0.305706522,0,PLX_2uM,0.5282880662774808 -4843,GTGCTGGATCTTTGCCTTGGCCAGGGGGTT,TADA1,25.67,86.0,0.440366972,0,AZD_200nM,0.494418592493079 -4844,TCTTTGGATTATACTGCCTGACCAAGGAAA,HPRT1,68.81,150.0,0.796875,0,6TG_2ug/mL,0.6021551326243283 -4845,TCCATGGATTGGATTTAACAAATTTGGATC,NF1,94.29,2677.0,0.09510869599999999,0,PLX_2uM,0.06744283706824457 -4846,AGCCTGGCAAGTAACCTCTTCAACTGGACG,CD15,59.43,315.0,0.494505495,0,nodrug,0.5082820049835519 -4847,ACAGTGGCACACACTTCGAAGTTGAGGGGG,NF1,47.94,1361.0,0.789402174,0,PLX_2uM,0.558605082741266 -4848,AGGCTGGCACCAGATTGTAGTCACGGGCGA,TADA2B,53.57,225.0,0.9,1,AZD_200nM,0.6418521987484757 -4849,TGGCTGGCACTCACCTGCAGGTAGTGGCTG,MED12,84.93,1849.0,0.505411255,0,AZD_200nM,0.4992805759892386 -4850,TGGCTGGCACTCACCTGCAGGTAGTGGCTG,MED12,84.93,1849.0,0.492424242,0,PLX_2uM,0.4992805759892386 -4851,TCCTTGGCAGAAGACCTGGTTCTGGGGTCT,CD5,20.65,102.0,0.69874477,0,nodrug,0.6073180621018752 -4852,TATGTGGCAGCCAGCAGCACTTCGTGGGAG,CD5,1.01,5.0,0.924686192,1,nodrug,0.6131960282763085 -4853,ACAATGGCAGGATTGATAAATCTGAGGAAC,NF1,49.74,1412.0,0.9347826090000001,1,PLX_2uM,0.6994237714813285 -4854,GCAGTGGCAGTGGCTCCAGGTAATAGGCGC,MED12,79.83,1738.0,0.117965368,0,AZD_200nM,0.2471165615663632 -4855,GCAGTGGCAGTGGCTCCAGGTAATAGGCGC,MED12,79.83,1738.0,0.115800866,0,PLX_2uM,0.2471165615663632 -4856,GAGGTGGCAGTGGTGGTCGGAGGCAGGGTG,MED12,57.97,1262.0,0.231601732,0,AZD_200nM,0.3646911077127696 -4857,GAGGTGGCAGTGGTGGTCGGAGGCAGGGTG,MED12,57.97,1262.0,0.23809523800000001,0,PLX_2uM,0.3646911077127696 -4858,CCTCTGGCATGGGCAGGTTGGACGGGGCAA,MED12,18.47,402.0,0.977272727,1,AZD_200nM,0.5583512993167483 -4859,CCTCTGGCATGGGCAGGTTGGACGGGGCAA,MED12,18.47,402.0,0.976190476,1,PLX_2uM,0.5583512993167483 -4860,CTGGTGGCATGGGTGGTGAGCCACTGGGAC,CD15,68.49,363.0,0.271062271,0,nodrug,0.3359278048026774 -4861,ACATTGGCCAGAGCCATCGCTATAGGGAGT,NF1,43.08,1223.0,0.297554348,0,PLX_2uM,0.4556204133844293 -4862,AGCATGGCCCACTCCGTGGTCTGCTGGGTG,MED12,71.34,1553.0,0.085497835,0,AZD_200nM,0.26420805343225384 -4863,AGCATGGCCCACTCCGTGGTCTGCTGGGTG,MED12,71.34,1553.0,0.069264069,0,PLX_2uM,0.26420805343225384 -4864,GCCGTGGCCCGCCGCAATGGCACTGGGCCG,CD13,31.85,308.0,0.321978022,0,nodrug,0.4264181082055872 -4865,GAAGTGGCCCTGTACATGTTTCTGTGGAAC,NF1,24.48,695.0,0.989130435,1,PLX_2uM,0.6998184440905331 -4866,CTTTTGGCCGAATCTTGGTGTGTTGGGGGA,NF1,64.88,1842.0,0.27173913,0,PLX_2uM,0.36598381361976595 -4867,TTCATGGCCGGCTCATCGAAGCATGGGAAG,CD13,23.06,223.0,0.969230769,1,nodrug,0.5842074817311395 -4868,GGAGTGGCCGGGTTCTAGAGTGCCAGGGAT,CD33,41.76,152.0,0.103896104,0,nodrug,0.4608906730524429 -4869,TTTTTGGCCTCAGCTGTATCCTACAGGTAG,MED12,16.81,366.0,0.915584416,1,AZD_200nM,0.4957366012833099 -4870,TTTTTGGCCTCAGCTGTATCCTACAGGTAG,MED12,16.81,366.0,0.977272727,1,PLX_2uM,0.4957366012833099 -4871,TCAGTGGCCTCCTTGCAGGTGAAACGGACG,CD13,11.48,111.0,0.124175824,0,nodrug,0.4863221379021936 -4872,TGCGTGGCCTCTACACAACCGCCAAGGCCG,CCDC101,22.53,66.0,0.617449664,0,AZD_200nM,0.6485629854596919 -4873,GGGTTGGCCTTCCACTGGGGCAGCGGGATG,CCDC101,72.7,213.0,0.5167785229999999,0,AZD_200nM,0.42362907068809874 -4874,CTGTTGGCGAAGGCGCTGTCCTTGGGGCAC,MED12,87.64,1908.0,0.365800866,0,AZD_200nM,0.47570538898505477 -4875,CTGTTGGCGAAGGCGCTGTCCTTGGGGCAC,MED12,87.64,1908.0,0.403679654,0,PLX_2uM,0.47570538898505477 -4876,GCTCTGGCGCAACGCGTTGCTCGCTGGGGC,CD15,81.51,432.0,0.095238095,0,nodrug,0.2837061219134656 -4877,CTGTTGGCGTTCTTGTTCTTCTCCTGGGAG,CD13,3.72,36.0,0.154945055,0,nodrug,0.33846746750736656 -4878,GCCCTGGCTATGGATCCAAATTTCTGGCTG,CD33,5.77,21.0,0.095238095,0,nodrug,0.21551893109692347 -4879,TTTGTGGCTCAAACTTCTGGCCTTTGGATT,CD45,0.97,11.0,0.007220216999999999,0,nodrug,0.31042197807652083 -4880,TAAGTGGCTCCAATTCCAAGTGTCAGGGTC,CD5,8.7,43.0,0.338912134,0,nodrug,0.45741153207363905 -4881,CCGATGGCTCCACGTTGCAGTAGATGGTGT,MED12,46.16,1005.0,0.43181818200000005,0,AZD_200nM,0.4665734240317152 -4882,CCGATGGCTCCACGTTGCAGTAGATGGTGT,MED12,46.16,1005.0,0.470779221,0,PLX_2uM,0.4665734240317152 -4883,GCAGTGGCTCCAGGTAATAGGCGCGGGGCC,MED12,79.74,1736.0,0.34740259700000004,0,AZD_200nM,0.38838453934663253 -4884,GCAGTGGCTCCAGGTAATAGGCGCGGGGCC,MED12,79.74,1736.0,0.393939394,0,PLX_2uM,0.38838453934663253 -4885,AAGATGGCTGAATACTACCGGCCAGGGCCT,MED12,9.51,207.0,0.145021645,0,AZD_200nM,0.6014879114694077 -4886,AAGATGGCTGAATACTACCGGCCAGGGCCT,MED12,9.51,207.0,0.13311688300000002,0,PLX_2uM,0.6014879114694077 -4887,CCCCTGGCTGCAGAACTGTCACACAGGGCC,CD5,60.93,301.0,0.744769874,0,nodrug,0.631463989130509 -4888,CAGCTGGCTTACCAAGTTCCAGGTGGGCTC,CD13,44.36,429.0,0.974725275,1,nodrug,0.6927907811964189 -4889,TGACTGGCTTCCTTTGTGCCCTTGGGGGAG,NF1,29.83,847.0,0.497282609,0,PLX_2uM,0.4675913598319369 -4890,TGACTGGGAAATCTTACCTGTTGCTGGAAA,NF1,53.72,1525.0,0.085597826,0,PLX_2uM,0.44015115637086666 -4891,GGGCTGGGACTGGGGCTGGGGTTGGGGAGG,MED12,97.8,2129.0,0.08658008699999999,0,AZD_200nM,0.03293246213775593 -4892,GGGCTGGGACTGGGGCTGGGGTTGGGGAGG,MED12,97.8,2129.0,0.122294372,0,PLX_2uM,0.03293246213775593 -4893,AAAATGGGAGCACTGGGAGCAGAAAGGGAG,MED12,25.68,559.0,0.857142857,1,AZD_200nM,0.5815735030471442 -4894,AAAATGGGAGCACTGGGAGCAGAAAGGGAG,MED12,25.68,559.0,0.925324675,1,PLX_2uM,0.5815735030471442 -4895,TTTCTGGGATCTCCCTCCAGTTGTTGGTAT,CD13,76.42,739.0,0.34395604399999996,0,nodrug,0.3186263344741922 -4896,CTGGTGGGATGTTGCACTTTGGTGTGGCTG,CUL3,67.71,520.0,0.792207792,0,PLX_2uM,0.5865105623227808 -4897,AAACTGGGATTGTGGTCTGCCCCCAGGGGC,CD43,16.71,66.0,0.7536231879999999,0,nodrug,0.4735695874972709 -4898,GGGCTGGGCAAGATGGCGGCCTTCGGGATC,MED12,0.18,4.0,0.206709957,0,AZD_200nM,0.3041458856402275 -4899,GGGCTGGGCAAGATGGCGGCCTTCGGGATC,MED12,0.18,4.0,0.25865800899999997,0,PLX_2uM,0.3041458856402275 -4900,GTTTTGGGCACTGGTCGTGGTTGCTGGAGT,CD28,72.02,157.0,0.47297297299999996,0,nodrug,0.2735610375139985 -4901,GAGGTGGGCAGTTTAGCAATGAGGGGGGCC,MED12,65.73,1431.0,0.7705627709999999,0,AZD_200nM,0.6572789546791644 -4902,GAGGTGGGCAGTTTAGCAATGAGGGGGGCC,MED12,65.73,1431.0,0.724025974,0,PLX_2uM,0.6572789546791644 -4903,CCACTGGGCCGCTGTTGCAGGTGGCGGGTA,MED12,91.41,1990.0,0.23809523800000001,0,AZD_200nM,0.330487653031991 -4904,CCACTGGGCCGCTGTTGCAGGTGGCGGGTA,MED12,91.41,1990.0,0.16991342,0,PLX_2uM,0.330487653031991 -4905,AGCATGGGCTGGACAATGTCACCGAGGAGG,TADA1,50.15,168.0,0.9908256879999999,1,AZD_200nM,0.7914184751757993 -4906,TACGTGGGCTTGGTGGCAATCTCCAGGAGC,NF2,79.66,474.0,0.5381165920000001,0,PLX_2uM,0.4515554564005851 -4907,GGTCTGGGCTTGTCGGCAAATCGGGGGGGT,NF1,23.92,679.0,0.20923913,0,PLX_2uM,0.39877748015414616 -4908,TGGATGGGGACGAGCAGTGGATCCTGGCCG,CCDC101,60.07,176.0,0.389261745,0,AZD_200nM,0.47597021448182464 -4909,GAACTGGGGAGTTCTTGTCGTAGTAGGGTA,CD33,13.74,50.0,0.435064935,0,nodrug,0.4437709545405248 -4910,TGTGTGGGGCACCATGATCCCGATAGGTAT,MED12,49.1,1069.0,0.252164502,0,AZD_200nM,0.6572947746319081 -4911,TGTGTGGGGCACCATGATCCCGATAGGTAT,MED12,49.1,1069.0,0.182900433,0,PLX_2uM,0.6572947746319081 -4912,TCTTTGGGGCATGCTGGGTCCAGGTGGCGA,CD43,3.8,15.0,0.9927536229999999,1,nodrug,0.6130203350596911 -4913,TTCATGGGGCCATAGACCTCGGAGCGGTCA,CD13,73.63,712.0,0.8241758240000001,1,nodrug,0.7325343228436701 -4914,TCGCTGGGGCGGTGCCGGTGGTGCTGGGCC,CD15,82.83,439.0,0.245421245,0,nodrug,0.2002355634658641 -4915,GCTCTGGGGGCCCGAGGCCGAGGGCGGCTG,TADA2B,15.95,67.0,0.568421053,0,AZD_200nM,0.5047295344360775 -4916,ATCTTGGGGGTCAGTCTGTTCTCAGGGTCA,NF2,41.51,247.0,0.887892377,1,PLX_2uM,0.5857895198074337 -4917,ACACTGGGGTCGTAGTCACCATACTGGAAA,NF2,25.21,150.0,0.394618834,0,PLX_2uM,0.47917447419244913 -4918,GCCGTGGGGTGATTATGAGCACCGAGGAGT,CD33,53.85,196.0,0.974025974,1,nodrug,0.8164068312395011 -4919,TCCATGGGGTTTAGATGCAGACTCAGGTTT,CD45,21.42,242.0,0.379061372,0,nodrug,0.5866313726584143 -4920,TCTCTGGGTCGGATTCACCTTGTTTGGCAG,CUL3,88.67,681.0,0.38311688299999996,0,PLX_2uM,0.28153811305813903 -4921,GTTGTGGGTGGAGGTGTCGTTCTCTGGGGC,CD5,27.73,137.0,0.008368201,0,nodrug,0.12548681014939161 -4922,CCCATGGGTGGGCTATAGGTTGCCAGGCCA,NF1,30.33,861.0,0.101902174,0,PLX_2uM,0.4876051407334827 -4923,ATCATGGGTGTCTGCTGCAGTGTCTGGTGT,MED12,92.79,2020.0,0.31709956699999997,0,AZD_200nM,0.26830259407141693 -4924,ATCATGGGTGTCTGCTGCAGTGTCTGGTGT,MED12,92.79,2020.0,0.303030303,0,PLX_2uM,0.26830259407141693 -4925,ACACTGGTACTGGTACACAGTTCTGGGCTC,CD45,83.36,942.0,0.317689531,0,nodrug,0.4296549050645883 -4926,GGATTGGTAGAAGGGTGGGTGCTCTGGTAA,MED12,90.72,1975.0,0.167748918,0,AZD_200nM,0.19126782488409802 -4927,GGATTGGTAGAAGGGTGGGTGCTCTGGTAA,MED12,90.72,1975.0,0.172077922,0,PLX_2uM,0.19126782488409802 -4928,AAGATGGTAGAATACCTGACAGACTGGGTT,NF1,36.88,1047.0,0.83423913,1,PLX_2uM,0.5154718020455241 -4929,GTGCTGGTATCCACCGTGATGACCGGGAAG,CD13,56.98,551.0,0.8428571429999999,1,nodrug,0.5809985048988394 -4930,CCACTGGTCCAGCCACTTGCACGTTGGAAT,NF1,78.3,2223.0,0.661684783,0,PLX_2uM,0.6205543338612042 -4931,GTTCTGGTCGGCATCGTGCTATGGTGGTAG,MED12,24.02,523.0,0.9859307359999999,1,AZD_200nM,0.659947662254058 -4932,GTTCTGGTCGGCATCGTGCTATGGTGGTAG,MED12,24.02,523.0,0.961038961,1,PLX_2uM,0.659947662254058 -4933,AGGCTGGTGAAGCAGAGAGACTCAGGGCCT,H2-K,47.97,177.0,0.923076923,1,nodrug,0.6764137599884894 -4934,TTGGTGGTGAAGTTGGCTAGGGTAAGGACC,THY1,56.17,91.0,0.935483871,1,nodrug,0.5959717274671182 -4935,TCGCTGGTGCTAACATGTCTGAAAGGGCAG,MED12,68.44,1490.0,0.5,0,AZD_200nM,0.536428389131974 -4936,TCGCTGGTGCTAACATGTCTGAAAGGGCAG,MED12,68.44,1490.0,0.501082251,0,PLX_2uM,0.536428389131974 -4937,ACGGTGGTGGGGAGTTGGATGGACCGGTTG,CD13,54.71,529.0,0.482417582,0,nodrug,0.5592150912189796 -4938,GGGTTGGTGGTGGCTGAGGCGGACGGGGTG,CD13,5.38,52.0,0.104395604,0,nodrug,0.3434395581450931 -4939,GGGTTGGTGTCACTCACTTGTTGGTGGCAT,CCDC101,64.16,188.0,0.563758389,0,AZD_200nM,0.5258272172238206 -4940,GCTGTGGTGTCATTGCTATGTGAATGGGCT,MED12,23.38,509.0,0.109307359,0,AZD_200nM,0.43636449162943586 -4941,GCTGTGGTGTCATTGCTATGTGAATGGGCT,MED12,23.38,509.0,0.18073593100000002,0,PLX_2uM,0.43636449162943586 -4942,TAGGTGGTGTTGATCTTACAGTCCGGGTGC,CUL3,65.76,505.0,0.318181818,0,PLX_2uM,0.5461933282975264 -4943,GTTCTGGTTACTCTGTTTGATTCTCGGCAT,NF1,43.99,1249.0,0.1875,0,PLX_2uM,0.36518638283586097 -4944,ATAATGGTTCATACTTCTTTCGGATGGAGA,CD33,32.69,119.0,0.445887446,0,nodrug,0.5025732739829722 -4945,GTCATGGTTGTGGGCAGCACTCCAGGGTAA,MED12,86.17,1876.0,0.7835497840000001,0,AZD_200nM,0.588029443309348 -4946,GTCATGGTTGTGGGCAGCACTCCAGGGTAA,MED12,86.17,1876.0,0.7976190479999999,0,PLX_2uM,0.588029443309348 -4947,GGGCTGTAACACCAGCTCCTCCAATGGCCC,CD33,72.25,263.0,0.7489177490000001,0,nodrug,0.6040894961798988 -4948,CCTTTGTAACCGAATCTTTGGATTGGGACC,MED12,22.32,486.0,0.214285714,0,AZD_200nM,0.4265609746410523 -4949,CCTTTGTAACCGAATCTTTGGATTGGGACC,MED12,22.32,486.0,0.229437229,0,PLX_2uM,0.4265609746410523 -4950,TGGCTGTAACTGACCACCTCGGCCAGGATC,CCDC101,60.75,178.0,0.36241610700000004,0,AZD_200nM,0.5633684811419367 -4951,ACGTTGTAATACCCTTCCTGACACTGGTCG,MED12,4.04,88.0,0.418831169,0,AZD_200nM,0.6145324799994902 -4952,ACGTTGTAATACCCTTCCTGACACTGGTCG,MED12,4.04,88.0,0.38311688299999996,0,PLX_2uM,0.6145324799994902 -4953,ATGATGTAATCAGGACATCGTTTGTGGTCA,CD45,54.25,613.0,0.490974729,0,nodrug,0.5263626361267545 -4954,CATGTGTAATTTGTTTGGGCACGAAGGTTG,CD45,16.11,182.0,0.129963899,0,nodrug,0.5612587836875931 -4955,AGCATGTACATCCACGGGAACCTGGGGAAG,TADA2B,28.33,119.0,0.8736842109999999,1,AZD_200nM,0.6909996220756754 -4956,AAGTTGTACGTTATGGGTGTATTAGGGATC,CUL3,20.44,157.0,0.746753247,0,PLX_2uM,0.39179489115885296 -4957,CCCTTGTACTCCTGGTGGTGCTGCTGGCCA,CD5,79.35,392.0,0.40167364,0,nodrug,0.360362003307259 -4958,GGCATGTACTGTCTCTCTTCAATCAGGAAG,CD13,71.04,687.0,0.728571429,0,nodrug,0.4534348611481822 -4959,CTGTTGTAGCCACAGAGGGTCCACTGGTCT,CD43,43.29,171.0,0.456521739,0,nodrug,0.5557230545756023 -4960,ACATTGTAGCCCTCTGTGTGCTCAAGGGGG,HPRT1,31.19,68.0,0.078125,0,6TG_2ug/mL,0.4698330828341909 -4961,AACTTGTAGCGGGCCACTGTGTGCAGGAGC,CD15,75.85,402.0,0.805860806,1,nodrug,0.5151826567789015 -4962,AGGTTGTAGGAATACCTGCAGCTGAGGCTG,CD28,18.35,40.0,0.9459459459999999,1,nodrug,0.6292256561319438 -4963,AGGGTGTAGTTGAGCTTCTTGCTGTGGATG,CD13,12.82,124.0,0.686813187,0,nodrug,0.6302433162314234 -4964,GTTGTGTCAAGAAGGAAAGCTTATCGGTTA,TADA1,58.81,197.0,0.064220183,0,AZD_200nM,0.426261534937524 -4965,CACCTGTCACATGCACAGAGAGCTGGGGAG,CD33,36.81,134.0,0.9285714290000001,1,nodrug,0.503565198660169 -4966,TCCTTGTCACTGTACGAGATGTTTCGGATT,NF2,44.2,263.0,0.618834081,0,PLX_2uM,0.4425132257067167 -4967,TCATTGTCAGTGAGTTCGACTACGTGGAGA,CD13,29.89,289.0,0.537362637,0,nodrug,0.6272899538300298 -4968,GAGATGTCATCACGTGTGAGCCACAGGGCT,MED12,75.93,1653.0,0.175324675,0,AZD_200nM,0.4471334983130187 -4969,GAGATGTCATCACGTGTGAGCCACAGGGCT,MED12,75.93,1653.0,0.233766234,0,PLX_2uM,0.4471334983130187 -4970,ACGCTGTCCACATCACCTCCTTCTGGGACG,CD15,94.15,499.0,0.798534799,0,nodrug,0.36298342906051745 -4971,ACTTTGTCCAGGTAGCTAGGAAGGCGGCTT,TADA2B,93.57,393.0,0.436842105,0,AZD_200nM,0.5083893840083175 -4972,CTGGTGTCCCTGCTGCCTCTGTCCCGGACA,CD5,43.72,216.0,0.59832636,0,nodrug,0.544240196751739 -4973,CATCTGTCCGGGACAGAGGCAGCAGGGACA,CD5,44.33,219.0,0.778242678,0,nodrug,0.6656873638661098 -4974,TTGCTGTCCTCACACAGAGACTTAAGGCAA,MED12,59.62,1298.0,0.6829004329999999,0,AZD_200nM,0.5197749954690505 -4975,TTGCTGTCCTCACACAGAGACTTAAGGCAA,MED12,59.62,1298.0,0.604978355,0,PLX_2uM,0.5197749954690505 -4976,TCGATGTCCTGGCACTCGGTGCAGCGGAAG,TADA2B,5.48,23.0,0.9105263159999999,1,AZD_200nM,0.6073842405973805 -4977,TTCTTGTCGTAGTAGGGTATGGGATGGAAG,CD33,12.64,46.0,0.917748918,1,nodrug,0.6821191629853628 -4978,TCTGTGTCTCCCGCTCCCAATACTCGGGCC,H2-K,21.68,80.0,0.810650888,1,nodrug,0.45554156475100577 -4979,AGAGTGTCTCCGGAGCATGCCAGCAGGAGT,TADA1,77.91,261.0,0.623853211,0,AZD_200nM,0.5172602192245673 -4980,TTATTGTCTCTATTAGTAAGACACTGGCAG,NF1,67.42,1914.0,0.586956522,0,PLX_2uM,0.5961565256864957 -4981,GAAATGTGAAATTGGTTTCAAGCAAGGTAA,NF1,72.14,2048.0,0.216032609,0,PLX_2uM,0.5195217375619341 -4982,ACGGTGTGAACTACTTTGCAATCCGGGTGT,NF2,37.65,224.0,0.623318386,0,PLX_2uM,0.5757945340467365 -4983,CCTGTGTGACAGTTCTGCAGCCAGGGGCCG,CD5,61.94,306.0,0.736401674,0,nodrug,0.6322912832147155 -4984,ATCGTGTGACCATGACAATAACTGTGGCCT,CD45,50.71,573.0,0.9350180509999999,1,nodrug,0.7806058234897781 -4985,GCTCTGTGAGAAGTTCTGCAATGCGGGAAT,CCDC101,3.41,10.0,0.489932886,0,AZD_200nM,0.5347725780754641 -4986,TGCTTGTGATACTTCATCCCTTCTGGGGAA,CD45,86.73,980.0,0.126353791,0,nodrug,0.306084441861186 -4987,ACCTTGTGCAGCAATGTATTTCCTGGGTTC,CD45,48.41,547.0,0.541516245,0,nodrug,0.541178488604164 -4988,TGCCTGTGCATCGTGGCTGTCCTGCGGCAC,MED12,42.72,930.0,0.994588745,1,AZD_200nM,0.693109688398915 -4989,TGCCTGTGCATCGTGGCTGTCCTGCGGCAC,MED12,42.72,930.0,0.9826839829999999,1,PLX_2uM,0.693109688398915 -4990,TTCCTGTGCCTGCAGAAGGAGTTGGGGGAG,MED12,74.6,1624.0,0.333333333,0,AZD_200nM,0.44100079216051713 -4991,TTCCTGTGCCTGCAGAAGGAGTTGGGGGAG,MED12,74.6,1624.0,0.36255411299999996,0,PLX_2uM,0.44100079216051713 -4992,AGTCTGTGCTCAGTACTGGGGCGAAGGAAA,CD45,79.91,903.0,0.63898917,0,nodrug,0.46169942875940684 -4993,CTGATGTGCTGAAGAGATCGTTCTGGGCTG,CD13,62.98,609.0,0.678021978,0,nodrug,0.497053335300581 -4994,CGGGTGTGGACAGCGGGTGGGAGGAGGCCA,CD13,46.74,452.0,0.471428571,0,nodrug,0.3412008120187133 -4995,ATAATGTGGAGAACGTCTACAATTTGGGAT,CUL3,18.36,141.0,0.058441558,0,PLX_2uM,0.24272751896725164 -4996,TGTTTGTGGCCACTGGAGAGTCCCTGGATA,CD33,19.23,70.0,0.8008658009999999,1,nodrug,0.52152638890987 -4997,CTGTTGTGGCGCCAGAGGCAAAAGCGGAGG,CD43,69.87,276.0,0.68115942,0,nodrug,0.6676577777998391 -4998,TCAATGTGGCTCAGAGATACGTGGTGGCTT,CCDC101,96.93,284.0,0.798657718,0,AZD_200nM,0.48279038992998535 -4999,TCTCTGTGGCTGAGCAGCAGCAGCTGGGCT,TADA2B,38.81,163.0,0.36842105299999994,0,AZD_200nM,0.3662330751132725 -5000,TACCTGTGGGCTCCGGCACGGTGGTGGGTG,CD5,30.16,149.0,0.154811715,0,nodrug,0.36944575548735875 -5001,CCTCTGTGGGGCCATCCCTGCCTCAGGAGA,CCDC101,51.19,150.0,0.22147651,0,AZD_200nM,0.4362572666737505 -5002,CAGGTGTGGTCTGTCACGCGGTTGGGGATG,TADA2B,30.95,130.0,0.42105263200000004,0,AZD_200nM,0.4772866275285445 -5003,TAGCTGTGGTGACAGGGGGACCACTGGTCT,CD43,46.58,184.0,0.253623188,0,nodrug,0.5237479373903191 -5004,GAGATGTGGTGACCCCTTGGCCCTTGGTCC,CD5,18.22,90.0,0.518828452,0,nodrug,0.47502242912248116 -5005,CTGCTGTGGTGGGAGCCCTTCGGGGGGCGC,CD15,37.55,199.0,0.6373626370000001,0,nodrug,0.6295578766820319 -5006,CATCTGTGGTGGTGCCTCTTGGGAAGGAGC,H2-K,73.98,273.0,0.313609467,0,nodrug,0.49408932058467486 -5007,CCAATGTGGTTCCTTGTTCTCAGTGGGTAA,NF1,43.5,1235.0,0.824728261,1,PLX_2uM,0.6053756687264882 -5008,ATGATGTGTACCGCGTGATGGCAGTGGATG,CD13,46.02,445.0,0.97032967,1,nodrug,0.6294590391577862 -5009,GCTCTGTGTCCTGGGCCTGTGAGCAGGGAA,CD33,46.7,170.0,0.38311688299999996,0,nodrug,0.37908480833303365 -5010,GCCCTGTGTGACAGTTCTGCAGCCAGGGGC,CD5,61.94,306.0,0.246861925,0,nodrug,0.402593524651919 -5011,GGCATGTGTGACTGAGGGACCAGTTGGACG,NF1,18.74,532.0,0.817934783,1,PLX_2uM,0.6625136265887871 -5012,CCACTGTGTGCAGGAGCCCAATTTCGGGCA,CD15,75.09,398.0,0.20879120899999998,0,nodrug,0.3310003568208895 -5013,GAAGTGTGTGCCACTGTTTATACCAGGTAT,NF1,48.22,1369.0,0.89673913,1,PLX_2uM,0.6814071934883524 -5014,AGGCTGTGTGGCGTCGTGAAGCATGGGATG,MED12,43.96,957.0,0.453463203,0,AZD_200nM,0.6147824140271589 -5015,AGGCTGTGTGGCGTCGTGAAGCATGGGATG,MED12,43.96,957.0,0.550865801,0,PLX_2uM,0.6147824140271589 -5016,AAGGTGTGTTATAGAACCAGGGTTTGGGTG,MED12,83.88,1826.0,0.5173160170000001,0,AZD_200nM,0.4163863498405275 -5017,AAGGTGTGTTATAGAACCAGGGTTTGGGTG,MED12,83.88,1826.0,0.6991341990000001,0,PLX_2uM,0.4163863498405275 -5018,CCACTGTTACAGTGGCCAGTGGTAGGGGAG,NF1,98.77,2804.0,0.019021739,0,PLX_2uM,0.21466345784252508 -5019,GCACTGTTACCCTCTGGCATGGGCAGGTTG,MED12,18.6,405.0,0.375541126,0,AZD_200nM,0.5094956080530171 -5020,GCACTGTTACCCTCTGGCATGGGCAGGTTG,MED12,18.6,405.0,0.39826839799999997,0,PLX_2uM,0.5094956080530171 -5021,GACATGTTAGCACCAGCGATAAGAAGGGCT,MED12,68.08,1482.0,0.38744588700000004,0,AZD_200nM,0.49799840520916566 -5022,GACATGTTAGCACCAGCGATAAGAAGGGCT,MED12,68.08,1482.0,0.374458874,0,PLX_2uM,0.49799840520916566 -5023,GTGTTGTTCAGCGCCAGAGTGACAGGGACC,CD13,69.91,676.0,0.86043956,1,nodrug,0.6383344179031982 -5024,GTCATGTTCATGTAGTCACTTTGAAGGAGT,CD28,85.32,186.0,0.202702703,0,nodrug,0.46547796391594 -5025,GGGGTGTTCCCTGCTCACAGGCCCAGGACA,CD33,46.15,168.0,0.7186147190000001,0,nodrug,0.4747083918588614 -5026,TGTTTGTTCCCTTAGTGCTGGTGTTGGGCG,CD45,60.35,682.0,0.563176895,0,nodrug,0.5416950460468417 -5027,CAGTTGTTCCTACTGGGATCCCCAAGGAGG,CD33,25.82,94.0,0.848484848,1,nodrug,0.6585131226740861 -5028,GACGTGTTCGGCCGGGGCGGGCCGGGGCAG,CD15,73.77,391.0,0.14285714300000002,0,nodrug,0.2637774990522293 -5029,GGTATGTTCGTGTGCTTGGGAATATGGTCC,NF1,35.36,1004.0,0.245923913,0,PLX_2uM,0.34601743640969124 -5030,ATGGTGTTCTGGTAGGCAAAGGTGTGGAGG,CD13,52.33,506.0,0.51978022,0,nodrug,0.7399441534883721 -5031,TTACTGTTCTGGTTCACTCCTGTGGGGCCA,CD5,85.02,420.0,0.343096234,0,nodrug,0.5948053136948894 -5032,ATCTTGTTGCCCTTGGTATCGATAAGGGAG,MED12,76.16,1658.0,0.30952381,0,AZD_200nM,0.4413937280267175 -5033,ATCTTGTTGCCCTTGGTATCGATAAGGGAG,MED12,76.16,1658.0,0.453463203,0,PLX_2uM,0.4413937280267175 -5034,TCCTTGTTGCTGCTGGAGGAGGACAGGGGG,CD13,38.57,373.0,0.11428571400000001,0,nodrug,0.32458512090213293 -5035,AATATGTTGGTACTGGGCTGTGGCTGGGTA,MED12,99.54,2167.0,0.17640692600000002,0,AZD_200nM,0.11766266843954698 -5036,AATATGTTGGTACTGGGCTGTGGCTGGGTA,MED12,99.54,2167.0,0.156926407,0,PLX_2uM,0.11766266843954698 -5037,GCTGTGTTGGTTTACCACAGGCGAGGGACT,CUL3,82.68,635.0,0.818181818,1,PLX_2uM,0.5303599248187455 -5038,AAGATGTTGTTCTAAAGTAGGAGTTGGAGA,NF1,72.81,2067.0,0.137228261,0,PLX_2uM,0.5035598766257539 -5039,GAGATGTTTCGGATTTCATTCCACGGGAAG,NF2,43.36,258.0,0.9506726459999999,1,PLX_2uM,0.5954002799986533 -5040,GCCTTGTTTCTTTCCTCTCTGGGTCGGATT,CUL3,89.32,686.0,0.7662337659999999,0,PLX_2uM,0.4789034807346478 -5041,CATCTGTTTGTCCACATTAGGCTTAGGTTA,NF1,41.07,1166.0,0.41168478299999994,0,PLX_2uM,0.425954501743331 -5042,TTTTTTAAAAAATTCAGGCTCTGCTGGTTC,NF1,19.34,549.0,0.036684783,0,PLX_2uM,0.4207822333672791 -5043,TTTTTTAAAAATGAAACAGGAAGATGGATC,CUL3,74.22,570.0,0.097402597,0,PLX_2uM,0.4080050375084058 -5044,ATAATTAAAGACCACCTCCAGAAGCGGCAA,TADA2B,91.19,383.0,0.547368421,0,AZD_200nM,0.49656915295786824 -5045,CACCTTAAAGTGTTGGTTGTTGTGAGGGCT,NF1,13.74,390.0,0.6847826090000001,0,PLX_2uM,0.5860657746038872 -5046,GGCTTTAAATTTAAATGCTGTTTCTGGAAA,NF1,6.94,197.0,0.048913042999999996,0,PLX_2uM,0.10223115472039568 -5047,GTAATTAACAGCTTGCTGGTGAAAAGGACC,HPRT1,76.15,166.0,0.125,0,6TG_2ug/mL,0.4230562927111965 -5048,CAGTTTAAGCAATTCATCCTCTCCAGGGCG,MED12,12.36,269.0,0.585497835,0,AZD_200nM,0.4705663125959546 -5049,CAGTTTAAGCAATTCATCCTCTCCAGGGCG,MED12,12.36,269.0,0.640692641,0,PLX_2uM,0.4705663125959546 -5050,GTAGTTAAGGTGTGTTATAGAACCAGGGTT,MED12,83.97,1828.0,0.55952381,0,AZD_200nM,0.507883727913574 -5051,GTAGTTAAGGTGTGTTATAGAACCAGGGTT,MED12,83.97,1828.0,0.527056277,0,PLX_2uM,0.507883727913574 -5052,GTAATTAATTCTGCTGTACTGCCTTGGGTT,NF1,18.32,520.0,0.032608696,0,PLX_2uM,0.4208198456148737 -5053,ATACTTACACAACAGGAAAGACTTTGGGAA,NF1,93.45,2653.0,0.404891304,0,PLX_2uM,0.2904903867922786 -5054,CATTTTACATCATCATCTGCTGCTTGGTTT,NF1,37.2,1056.0,0.292119565,0,PLX_2uM,0.4709098746502381 -5055,GGACTTACATTGGTGATGATTCGATGGAGT,NF1,14.65,416.0,0.919836957,1,PLX_2uM,0.6376312420382275 -5056,ATCCTTACCAGCCATATCAGTCTGTGGGAT,NF1,8.45,240.0,0.921195652,1,PLX_2uM,0.6534757416231207 -5057,CTCCTTACCCCATCTCAGGGTGAGGGGCTC,H2-K,79.13,292.0,0.26035503,0,nodrug,0.5086061357381677 -5058,TGCTTTACCCGCTGTGGGGGCGCATGGATC,CCDC101,85.67,251.0,0.536912752,0,AZD_200nM,0.44400773887852035 -5059,CTGCTTACCTGCAACTTCTTCGCCAGGTTC,MED12,74.28,1617.0,0.332251082,0,AZD_200nM,0.4173053452104776 -5060,CTGCTTACCTGCAACTTCTTCGCCAGGTTC,MED12,74.28,1617.0,0.435064935,0,PLX_2uM,0.4173053452104776 -5061,GTCTTTACCTGCAGTGCACCACAATGGGAC,CD45,59.82,676.0,0.844765343,1,nodrug,0.6842250706111813 -5062,TTGCTTACCTTGTCATTGAATATACGGAGA,NF1,82.78,2350.0,0.608695652,0,PLX_2uM,0.29289418618029284 -5063,ATGATTACGAGATCGAGTATGACCAGGATG,TADA2B,42.38,178.0,0.34736842100000004,0,AZD_200nM,0.6469900965290496 -5064,ACATTTACTGACCTGGGGAATGCTGGGAAG,NF1,98.27,2790.0,0.050271739,0,PLX_2uM,0.19089235308604402 -5065,TCTTTTACTGTAGCTTTATTCAGTAGGGAG,NF1,48.5,1377.0,0.22690217399999998,0,PLX_2uM,0.5253875585841771 -5066,TCACTTACTTCCATCAGACTGGCAAGGATT,MED12,54.62,1189.0,0.501082251,0,AZD_200nM,0.658103931735748 -5067,TCACTTACTTCCATCAGACTGGCAAGGATT,MED12,54.62,1189.0,0.537878788,0,PLX_2uM,0.658103931735748 -5068,TCATTTAGAAAGACTGATTGCCCTAGGACT,NF1,62.49,1774.0,0.982336957,1,PLX_2uM,0.6107374623077778 -5069,TGTATTAGCAAACGAGTGTCTCATGGGCAG,NF1,79.64,2261.0,0.898097826,1,PLX_2uM,0.5495383156109298 -5070,CCCTTTAGCAGAGTCAGGGCATGTTGGGAC,MED12,88.24,1921.0,0.625541126,0,AZD_200nM,0.5267336862547882 -5071,CCCTTTAGCAGAGTCAGGGCATGTTGGGAC,MED12,88.24,1921.0,0.83008658,1,PLX_2uM,0.5267336862547882 -5072,GGTTTTAGGGCCATTAGTTTCATAAGGAGG,CD45,29.73,336.0,0.364620939,0,nodrug,0.4835921589779354 -5073,TTTTTTAGGTAACTCAGCAGTTGAAGGCGC,CUL3,95.05,730.0,0.9675324679999999,1,PLX_2uM,0.4256667676443938 -5074,GGCTTTAGTGGAATACAATCAGTTTGGAGA,CD45,65.49,740.0,0.588447653,0,nodrug,0.493431709424461 -5075,GGGCTTATACGAAAGCAAGAAACAAGGCAG,NF1,13.42,381.0,0.694293478,0,PLX_2uM,0.7161280665906007 -5076,ACATTTATACTATTGTCTGTCGGCCGGGAG,CD45,28.5,322.0,0.220216606,0,nodrug,0.4672163909067081 -5077,TGTGTTATAGAACCAGGGTTTGGGTGGTGC,MED12,83.79,1824.0,0.602813853,0,AZD_200nM,0.5183782767970728 -5078,TGTGTTATAGAACCAGGGTTTGGGTGGTGC,MED12,83.79,1824.0,0.606060606,0,PLX_2uM,0.5183782767970728 -5079,AATTTTATCCTGAGAATGCTGAAGAGGAGC,NF2,17.82,106.0,0.838565022,1,PLX_2uM,0.5888673894855798 -5080,GAAGTTATCCTTCTGGTTCACTTGGGGCTT,MED12,4.41,96.0,0.632034632,0,AZD_200nM,0.5694506436258165 -5081,GAAGTTATCCTTCTGGTTCACTTGGGGCTT,MED12,4.41,96.0,0.649350649,0,PLX_2uM,0.5694506436258165 -5082,ATGATTATCTTTAATAGAGTCCAGAGGAAG,NF1,82.99,2356.0,0.770380435,0,PLX_2uM,0.5902827777152869 -5083,CACATTATGACCAACACCAGGTCACGGCTC,MED12,38.77,844.0,0.9480519479999999,1,AZD_200nM,0.703890060498063 -5084,CACATTATGACCAACACCAGGTCACGGCTC,MED12,38.77,844.0,0.974025974,1,PLX_2uM,0.703890060498063 -5085,TGTTTTATGCTATAAGAACAATTCAGGTAA,CD45,22.65,256.0,0.350180505,0,nodrug,0.347743649759169 -5086,ATCATTATGCTGAGGATTTGGAAAGGGTGT,HPRT1,15.14,33.0,0.359375,0,6TG_2ug/mL,0.5728882402905475 -5087,TTTGTTATGGCTTGCTAGTGACAGTGGCTC,CD28,77.52,169.0,0.743243243,0,nodrug,0.5664610021975015 -5088,GCCCTTATGGTGTGACAGTGCCTCCGGACC,MED12,83.46,1817.0,0.504329004,0,AZD_200nM,0.4759906071551133 -5089,GCCCTTATGGTGTGACAGTGCCTCCGGACC,MED12,83.46,1817.0,0.496753247,0,PLX_2uM,0.4759906071551133 -5090,TTTGTTATTGCAGATGAAGTGGAAAGGGAA,NF2,6.89,41.0,0.5515695070000001,0,PLX_2uM,0.6188537111551575 -5091,CAAGTTATTTAGTCGTGTGCCAAATGGTTT,CUL3,39.97,307.0,0.025974026,0,PLX_2uM,0.43276805742835933 -5092,CCATTTATTTCAGAGAGTTCCACACGGTTA,CD45,46.02,520.0,0.985559567,1,nodrug,0.7550673627184443 -5093,TGGATTATTTCTGGACACAAGATAAGGAGA,NF1,9.69,275.0,0.8152173909999999,1,PLX_2uM,0.5441551497914061 -5094,TAGGTTCAAAACTGGTCAAATCAATGGTGA,NF1,56.99,1618.0,0.513586957,0,PLX_2uM,0.4679036833381004 -5095,TTTCTTCAAACGCTAAATCAAGCTTGGAAT,CUL3,14.06,108.0,0.084415584,0,PLX_2uM,0.4426900040692877 -5096,ACTATTCAACTGACTATGAGTTTCTGGTAA,CD45,33.45,378.0,0.025270757999999997,0,nodrug,0.06413951663800033 -5097,TAACTTCAAGCCCCTTTCGATTCTAGGTGG,NF1,50.55,1435.0,0.152173913,0,PLX_2uM,0.1960483737863828 -5098,AAGTTTCAAGTCGTCATCATCTTGGGGATC,TADA1,39.4,132.0,0.08256880700000001,0,AZD_200nM,0.5358508324957123 -5099,TCCCTTCAATCTTCTCCTTGGGTGGGGGCT,MED12,32.8,714.0,0.114718615,0,AZD_200nM,0.31291114796220054 -5100,TCCCTTCAATCTTCTCCTTGGGTGGGGGCT,MED12,32.8,714.0,0.265151515,0,PLX_2uM,0.31291114796220054 -5101,ATATTTCAATGGAAAATGTTCCTATGGATA,NF1,87.07,2472.0,0.74048913,0,PLX_2uM,0.4291405680655447 -5102,ATTCTTCAATTTGTTAAATAGCATTGGATA,NF1,32.86,933.0,0.091032609,0,PLX_2uM,0.35899016002046474 -5103,AGCCTTCACAAGACCATTGTTAAGAGGCGA,NF1,28.67,814.0,0.298913043,0,PLX_2uM,0.4646493929044738 -5104,TGGCTTCACACTCCTGGTGCATGAAGGTGA,NF1,63.86,1813.0,0.866847826,1,PLX_2uM,0.5966968770348783 -5105,AGTCTTCACAGTCACGTAGCGGGCTGGACT,TADA2B,87.62,368.0,0.889473684,1,AZD_200nM,0.5154111955231179 -5106,ACCTTTCACATTATGACCAACACCAGGTCA,MED12,38.68,842.0,0.9512987009999999,1,AZD_200nM,0.6551505311860302 -5107,ACCTTTCACATTATGACCAACACCAGGTCA,MED12,38.68,842.0,0.9870129870000001,1,PLX_2uM,0.6551505311860302 -5108,CCAATTCACCAGCTGGCCAGACCATGGGGT,CD45,57.26,647.0,0.85198556,1,nodrug,0.5803704684001554 -5109,TTTCTTCACCCCTCGCAGATGGAGCGGCAG,NF2,56.3,335.0,0.255605381,0,PLX_2uM,0.5463062262933607 -5110,CATGTTCACCGGAGGCAAAGATGCAGGTAG,TADA1,80.9,271.0,0.587155963,0,AZD_200nM,0.5138869630883822 -5111,GGGCTTCACCTCCTTCTCGACATCTGGCTT,MED12,32.43,706.0,0.055194805,0,AZD_200nM,0.30311845808199284 -5112,GGGCTTCACCTCCTTCTCGACATCTGGCTT,MED12,32.43,706.0,0.034632035,0,PLX_2uM,0.30311845808199284 -5113,CTGTTTCAGCTGTTGTCTATGCTGTGGAGG,TADA1,53.13,178.0,0.9082568809999999,1,AZD_200nM,0.6236358270489719 -5114,CAGTTTCATCAAAACCAGTGCAACAGGTGG,NF1,71.12,2019.0,0.19429347800000002,0,PLX_2uM,0.3650528335860058 -5115,TGTTTTCATCTTTCAGGACACTAAAGGAGA,NF1,87.64,2488.0,0.376358696,0,PLX_2uM,0.37353496758376975 -5116,GGTTTTCATTCCATTGACCTTGTCCGGACC,CD45,27.7,313.0,0.050541515999999995,0,nodrug,0.3388617945201106 -5117,ATATTTCCAAGTCCCTGGGCATCCTGGGGA,CD13,1.34,13.0,0.108791209,0,nodrug,0.35364799132432045 -5118,CCAATTCCAAGTGTCAGGGTCAAGTGGAGA,CD5,9.31,46.0,0.6317991629999999,0,nodrug,0.6253527029158487 -5119,CTATTTCCACCCAGTTCCAGCGCCAGGGGC,MED12,98.25,2139.0,0.069264069,0,AZD_200nM,0.09100900990485923 -5120,CTATTTCCACCCAGTTCCAGCGCCAGGGGC,MED12,98.25,2139.0,0.12121212099999999,0,PLX_2uM,0.09100900990485923 -5121,TTCATTCCACGGGAAGGAGATCTTGGGGGT,NF2,42.69,254.0,0.573991031,0,PLX_2uM,0.43980189727857394 -5122,GCAGTTCCAGTTGGAGGCTGAGCCAGGACC,CD5,13.36,66.0,0.012552301,0,nodrug,0.45479411268805453 -5123,AAGCTTCCCAAGGCTTCCCCAGAAGGGATG,CD45,86.73,980.0,0.537906137,0,nodrug,0.5472850582336594 -5124,GCTCTTCCCACCGTCCCCGGCCCCTGGCTG,CD5,62.35,308.0,0.35983263600000004,0,nodrug,0.4587744458529983 -5125,GATGTTCCCATAACCCAGTCTGTCAGGTAT,NF1,36.84,1046.0,0.69701087,0,PLX_2uM,0.48714833195341267 -5126,TCCTTTCCCCGTTTGGAGCCGGCTAGGTTT,TADA2B,77.38,325.0,0.410526316,0,AZD_200nM,0.42116085459389707 -5127,GCCCTTCCCCTCACAGGGCATAGTAGGGGA,MED12,31.74,691.0,0.26406926399999997,0,AZD_200nM,0.3857087874259089 -5128,GCCCTTCCCCTCACAGGGCATAGTAGGGGA,MED12,31.74,691.0,0.321428571,0,PLX_2uM,0.3857087874259089 -5129,GGAATTCCGGGCATCCCTGTACAAGGGCGT,CD28,26.15,57.0,0.864864865,1,nodrug,0.6769611119913259 -5130,CAGCTTCCTAACCTGCAGTGGACGAGGATG,CD45,87.79,992.0,0.5090252710000001,0,nodrug,0.529441494369517 -5131,GGTATTCCTACAACCTTCTCGCAAAGGAAT,CD28,22.48,49.0,0.27027027,0,nodrug,0.6107421145497557 -5132,CGGATTCCTACTGTAGGCTTGTCTGGGGAA,MED12,54.8,1193.0,0.487012987,0,AZD_200nM,0.4896374676206529 -5133,CGGATTCCTACTGTAGGCTTGTCTGGGGAA,MED12,54.8,1193.0,0.47402597399999996,0,PLX_2uM,0.4896374676206529 -5134,AACCTTCCTGTTGGGGCAGGGTGGTGGCCA,CD13,21.3,206.0,0.257142857,0,nodrug,0.4376726056124217 -5135,AGACTTCCTTCATACAGGAGTTGGAGGACA,CD45,69.29,783.0,0.433212996,0,nodrug,0.542732258728812 -5136,GGGATTCCTTGCCGCTTCTGGAGGTGGTCT,TADA2B,90.71,381.0,0.284210526,0,AZD_200nM,0.37249160119688346 -5137,GGAATTCCTTTGCGAGAAGGTTGTAGGAAT,CD28,21.1,46.0,0.6756756759999999,0,nodrug,0.48597213327163774 -5138,GGCTTTCGAGTGAGCCCAGGCCTCCGGGGA,CD28,89.91,196.0,0.297297297,0,nodrug,0.3220224040036685 -5139,CCAATTCGATGGGAGGCCCCGAACGGGAGC,CD5,48.79,241.0,0.405857741,0,nodrug,0.4457538553893561 -5140,CCTGTTCGCGCCATGGGGGCACCGTGGGGC,CD15,24.34,129.0,0.644688645,0,nodrug,0.5672537569721573 -5141,TTTGTTCGCTCTGCTGAAGTTACTTGGACA,NF1,62.13,1764.0,0.8709239129999999,1,PLX_2uM,0.38877668743988547 -5142,AAGATTCGGCCAAAAGATGTCCCTGGGACA,NF1,65.2,1851.0,0.664402174,0,PLX_2uM,0.5887356465739225 -5143,CCCGTTCGGGGCCTCCCATCGAATTGGCAA,CD5,47.77,236.0,0.364016736,0,nodrug,0.4138285811250937 -5144,GGTGTTCGTAGCTCAAGATCCCGAAGGCCG,MED12,0.23,5.0,0.359307359,0,AZD_200nM,0.6980754695860577 -5145,GGTGTTCGTAGCTCAAGATCCCGAAGGCCG,MED12,0.23,5.0,0.319264069,0,PLX_2uM,0.6980754695860577 -5146,GGAATTCTACAATGGCAGCTGGGGTGGCAC,CD5,36.64,181.0,0.594142259,0,nodrug,0.5373143525183234 -5147,CACCTTCTACATTTCACTATGTGCTGGTAA,NF1,14.41,409.0,0.849184783,1,PLX_2uM,0.5508521885655019 -5148,AAGGTTCTACTTAGCCAAACACAGTGGTCG,CUL3,70.7,543.0,0.915584416,1,PLX_2uM,0.7635148715470951 -5149,GGGCTTCTATATTTCCAAGTCCCTGGGCAT,CD13,1.03,10.0,0.50989011,0,nodrug,0.44829975742146777 -5150,TATGTTCTATGCCCTCAGGATCCAGGGCTC,MED12,30.32,660.0,0.28571428600000004,0,AZD_200nM,0.49675440799492626 -5151,TATGTTCTATGCCCTCAGGATCCAGGGCTC,MED12,30.32,660.0,0.25649350600000004,0,PLX_2uM,0.49675440799492626 -5152,TCCATTCTCACAATGATTTCCTCCTGGCCA,TADA1,18.81,63.0,0.880733945,1,AZD_200nM,0.5078256270208138 -5153,CTTTTTCTCAGGCTCTAGCAGGGTAGGAGC,MED12,80.66,1756.0,0.609307359,0,AZD_200nM,0.4908742243673069 -5154,CTTTTTCTCAGGCTCTAGCAGGGTAGGAGC,MED12,80.66,1756.0,0.560606061,0,PLX_2uM,0.4908742243673069 -5155,TCTTTTCTCCCTTTAGCAGAGTCAGGGCAT,MED12,88.1,1918.0,0.268398268,0,AZD_200nM,0.4104065093898576 -5156,TCTTTTCTCCCTTTAGCAGAGTCAGGGCAT,MED12,88.1,1918.0,0.235930736,0,PLX_2uM,0.4104065093898576 -5157,TTCCTTCTCCTCATAAATAGATCATGGTTC,NF2,51.26,305.0,0.730941704,0,PLX_2uM,0.49841082171909656 -5158,CTCCTTCTCGACATCTGGCTTCTCAGGGGA,MED12,32.29,703.0,0.130952381,0,AZD_200nM,0.2982251867741935 -5159,CTCCTTCTCGACATCTGGCTTCTCAGGGGA,MED12,32.29,703.0,0.25,0,PLX_2uM,0.2982251867741935 -5160,GTGCTTCTCGGCCGGCGCCGAGATCGGCCA,TADA2B,9.76,41.0,0.036842105,0,AZD_200nM,0.47192688723444703 -5161,GTTTTTCTCTAGTCCGCATTGGATTGGTGG,NF1,14.93,424.0,0.48505434799999997,0,PLX_2uM,0.4465897924897456 -5162,CCCCTTCTCTATCCACAGACAAGCTGGTCA,THY1,78.4,127.0,0.467741935,0,nodrug,0.4484527350560004 -5163,GCAGTTCTGACCCGAGTTTACGGTAGGTTT,NF1,65.87,1870.0,0.9402173909999999,1,PLX_2uM,0.6628628557852578 -5164,GGAATTCTGAGGAGGAACTGATGATGGCAT,NF1,47.59,1351.0,0.601902174,0,PLX_2uM,0.557790294222429 -5165,TGAATTCTGAGGGGCGGGTAACATTGGAAT,CD13,59.36,574.0,0.148351648,0,nodrug,0.44042150771884164 -5166,TCCTTTCTGCAGATTTCCAGCCCAAGGTTC,CD5,55.06,272.0,0.47280334700000004,0,nodrug,0.4605399733762227 -5167,CAGCTTCTGCATTGGTAAGCGCACAGGACG,MED12,85.53,1862.0,0.557359307,0,AZD_200nM,0.5542506156972533 -5168,CAGCTTCTGCATTGGTAAGCGCACAGGACG,MED12,85.53,1862.0,0.661255411,0,PLX_2uM,0.5542506156972533 -5169,CAGTTTCTGCTACTCTCCTCATTTTGGGGG,NF1,90.49,2569.0,0.070652174,0,PLX_2uM,0.013443253083736603 -5170,GGCATTCTGGGCTTCAGAGGTACTTGGAGC,CD43,9.87,39.0,0.52173913,0,nodrug,0.47568265376475843 -5171,CTGGTTCTGGGGTCTGTTCAATGAAGGGAA,CD5,19.64,97.0,0.506276151,0,nodrug,0.4926773053044822 -5172,AGCGTTCTGGTCGGCATCGTGCTATGGTGG,MED12,23.98,522.0,0.937229437,1,AZD_200nM,0.5189295074796777 -5173,AGCGTTCTGGTCGGCATCGTGCTATGGTGG,MED12,23.98,522.0,0.944805195,1,PLX_2uM,0.5189295074796777 -5174,ATATTTCTGTCTCCTAGATGGTGCTGGATC,TADA1,23.58,79.0,0.266055046,0,AZD_200nM,0.4873135231056055 -5175,CCAGTTCTGTGGAGAGTTCCAGTGTGGCCC,CD43,54.68,216.0,0.739130435,0,nodrug,0.6544414761387405 -5176,CAGTTTCTGTGGGGTCAGGGACAGTGGACT,CD43,13.92,55.0,0.17391304300000002,0,nodrug,0.5248448493588486 -5177,ACGTTTCTTAATAACAACTGGACTTGGTAA,CUL3,96.09,738.0,0.090909091,0,PLX_2uM,0.2384941004084378 -5178,TGGCTTCTTACGCCGTCCAGGCCAAGGTAG,NF2,24.87,148.0,0.650224215,0,PLX_2uM,0.5154228657877892 -5179,CAACTTCTTAGTGTTGGCCTGAGAAGGTTG,NF1,89.15,2531.0,0.599184783,0,PLX_2uM,0.40590515659145293 -5180,CAACTTCTTCTCAGTTCAAGTAACAGGTAA,CD28,7.8,17.0,0.878378378,1,nodrug,0.43617333557033616 -5181,GTACTTCTTGATCTAGCTTGTTTGTGGCCA,CD33,20.88,76.0,0.058441558,0,nodrug,0.38690950743421815 -5182,CTTCTTCTTGCGTTCCTCAGTACTGGGTGG,MED12,81.72,1779.0,0.297619048,0,AZD_200nM,0.4055699775233996 -5183,CTTCTTCTTGCGTTCCTCAGTACTGGGTGG,MED12,81.72,1779.0,0.28030303,0,PLX_2uM,0.4055699775233996 -5184,TTGATTCTTGGCTTGGTGACCTGGTGGTTA,CD43,60.76,240.0,0.9347826090000001,1,nodrug,0.6221448936563974 -5185,GGAGTTCTTGTCGTAGTAGGGTATGGGATG,CD33,13.19,48.0,0.792207792,0,nodrug,0.5663692255123152 -5186,GTGGTTCTTTATTTATAGGCATTTTGGAAC,NF1,7.75,220.0,0.0625,0,PLX_2uM,0.10450265577693385 -5187,TATGTTGAAAAATGGAAAGACAGAAGGTAA,CUL3,38.15,293.0,0.655844156,0,PLX_2uM,0.6441981647027637 -5188,GATGTTGAACTCGGCCTTCATGGCCGGCTC,CD13,23.68,229.0,0.745054945,0,nodrug,0.5155822314674043 -5189,GATGTTGAAGCGCAGCCGGCAGTCAGGGGG,CD15,39.81,211.0,0.41025641,0,nodrug,0.3722976907076634 -5190,GAGGTTGAAGCTTGGTATGTCAGGAGGCAA,NF2,83.03,494.0,0.578475336,0,PLX_2uM,0.5933625605704628 -5191,TATCTTGAAGGTTCTGAACCGCAAAGGGAC,MED12,36.01,784.0,0.0995671,0,AZD_200nM,0.5589183318238085 -5192,TATCTTGAAGGTTCTGAACCGCAAAGGGAC,MED12,36.01,784.0,0.217532468,0,PLX_2uM,0.5589183318238085 -5193,TTCTTTGAATCTTCCCATTGACATAGGCAA,CD45,25.58,289.0,0.137184116,0,nodrug,0.41163191542047356 -5194,GATTTTGAATTTCCTCACAGAAAGCGGCTG,TADA2B,97.86,411.0,0.1,0,AZD_200nM,0.19104426003027516 -5195,CCACTTGACCCTGACACTTGGAATTGGAGC,CD5,8.3,41.0,0.42677824299999995,0,nodrug,0.4129239297050214 -5196,GCCCTTGACTATAATGAATACTTCAGGGAT,HPRT1,91.28,199.0,0.109375,0,6TG_2ug/mL,0.30012279053517965 -5197,GAAGTTGAGGGGGGAATTCTGAGGAGGAAC,NF1,47.73,1355.0,0.960597826,1,PLX_2uM,0.7056103338971134 -5198,TGCCTTGATTGACACGTACCTGCCTGGAAT,NF1,96.62,2743.0,0.116847826,0,PLX_2uM,0.17498781518048812 -5199,TGGTTTGCAATGGTTAAGGTGAACTGGTTC,NF1,63.37,1799.0,0.8478260870000001,1,PLX_2uM,0.541937865599669 -5200,GGCCTTGCACCTTCTCCTCCTCTTTGGGGC,CD43,2.03,8.0,0.137681159,0,nodrug,0.14326331205866735 -5201,ATACTTGCACTCTCATCTCCCGAGGGGACC,MED12,28.53,621.0,0.91991342,1,AZD_200nM,0.7719510240150368 -5202,ATACTTGCACTCTCATCTCCCGAGGGGACC,MED12,28.53,621.0,0.898268398,1,PLX_2uM,0.7719510240150368 -5203,TTCCTTGCAGAATCCAAGAAAACAGGGGCC,NF1,18.07,513.0,0.508152174,0,PLX_2uM,0.6064755003702432 -5204,GTTGTTGCAGTTGGATATAGACCACGGAGA,CD5,22.67,112.0,1.0,1,nodrug,0.7081869105365307 -5205,ATGCTTGCCACAGTGCCTGGGGCCAGGCCC,CD5,75.91,375.0,0.016736402,0,nodrug,0.29096554089079174 -5206,TTACTTGCCAGGCTTCGCAGCCCCGGGGAG,CD15,57.55,305.0,0.765567766,0,nodrug,0.48127998311020087 -5207,AAGGTTGCCCCATGTCCAGGCTCATGGATT,NF1,88.87,2523.0,0.394021739,0,PLX_2uM,0.32847739259250963 -5208,AGTTTTGCCTCCTCCTCGGTGATCTGGGCC,NF2,65.55,390.0,0.094170404,0,PLX_2uM,0.24920145764874108 -5209,ATCTTTGCCTGGAGCTGTTGGCGAAGGCGC,MED12,87.83,1912.0,0.234848485,0,AZD_200nM,0.34431637087593153 -5210,ATCTTTGCCTGGAGCTGTTGGCGAAGGCGC,MED12,87.83,1912.0,0.19588744600000002,0,PLX_2uM,0.34431637087593153 -5211,AACGTTGCCTTAAGTCTCTGTGTGAGGACA,MED12,59.76,1301.0,0.654761905,0,AZD_200nM,0.7065899900818216 -5212,AACGTTGCCTTAAGTCTCTGTGTGAGGACA,MED12,59.76,1301.0,0.7023809520000001,0,PLX_2uM,0.7065899900818216 -5213,GTCATTGCCTTCCGTTCCAGTTACCGGGAC,NF1,76.86,2182.0,0.800271739,1,PLX_2uM,0.33759923476891107 -5214,CTTCTTGCGTTCCTCAGTACTGGGTGGAGC,MED12,81.67,1778.0,0.661255411,0,AZD_200nM,0.581403581264746 -5215,CTTCTTGCGTTCCTCAGTACTGGGTGGAGC,MED12,81.67,1778.0,0.523809524,0,PLX_2uM,0.581403581264746 -5216,GAACTTGCTAGATAATCATACTGAAGGCAG,NF1,34.38,976.0,0.24184782600000002,0,PLX_2uM,0.6396790643041882 -5217,TCATTTGCTATCCACATCGACTGCTGGACA,MED12,61.09,1330.0,0.16558441599999998,0,AZD_200nM,0.49838545170366366 -5218,TCATTTGCTATCCACATCGACTGCTGGACA,MED12,61.09,1330.0,0.27380952399999997,0,PLX_2uM,0.49838545170366366 -5219,CTCGTTGCTATCTACCACAAGCAGGGGCGA,CD28,13.76,30.0,0.932432432,1,nodrug,0.7019663455216743 -5220,CAGGTTGCTGCTGCCGGTACACAGAGGTCT,MED12,87.14,1897.0,0.54978355,0,AZD_200nM,0.5953926481369082 -5221,CAGGTTGCTGCTGCCGGTACACAGAGGTCT,MED12,87.14,1897.0,0.404761905,0,PLX_2uM,0.5953926481369082 -5222,CTTGTTGCTGCTGGAGGAGGACAGGGGGTC,CD13,38.57,373.0,0.527472527,0,nodrug,0.6161573435643747 -5223,GCTCTTGCTGGCCATGGAGGAAGTAGGCAG,NF1,11.03,313.0,0.756793478,0,PLX_2uM,0.6026526663434297 -5224,TTCTTTGCTTCTGCACTTGGCTTGCGGATC,NF1,99.3,2819.0,0.114130435,0,PLX_2uM,0.20311463250955833 -5225,GTGCTTGCTTTACATCGTCTACTCTGGAAC,NF1,53.22,1511.0,0.65625,0,PLX_2uM,0.5335050077513785 -5226,TGGTTTGGAACAGTCCGAGTGGACCGGCGA,MED12,78.59,1711.0,0.28138528100000004,0,AZD_200nM,0.4844995095475935 -5227,TGGTTTGGAACAGTCCGAGTGGACCGGCGA,MED12,78.59,1711.0,0.248917749,0,PLX_2uM,0.4844995095475935 -5228,AGAATTGGAGAAGGGTCAGCACCTGGGTTC,MED12,66.88,1456.0,0.703463203,0,AZD_200nM,0.6522350570438189 -5229,AGAATTGGAGAAGGGTCAGCACCTGGGTTC,MED12,66.88,1456.0,0.658008658,0,PLX_2uM,0.6522350570438189 -5230,CATGTTGGAGACAGTGGATGGAGGAGGCTC,H2-K,81.03,299.0,0.23668639100000002,0,nodrug,0.5244014898349985 -5231,TCTCTTGGATATTACAGATGACCATGGATG,CUL3,3.13,24.0,0.8636363640000001,1,PLX_2uM,0.655122901422656 -5232,CTTATTGGATCCACAGAATAAAAAGGGCAC,NF2,38.15,227.0,0.461883408,0,PLX_2uM,0.5233179065934845 -5233,ATCCTTGGCAGAAGACCTGGTTCTGGGGTC,CD5,20.65,102.0,0.48953974899999997,0,nodrug,0.39747856955793676 -5234,CACATTGGCCAGAGCCATCGCTATAGGGAG,NF1,43.11,1224.0,0.328804348,0,PLX_2uM,0.4365767350523933 -5235,TCTTTTGGCCGAATCTTGGTGTGTTGGGGG,NF1,64.88,1842.0,0.918478261,1,PLX_2uM,0.5525616263881741 -5236,CGGGTTGGCCTTCCACTGGGGCAGCGGGAT,CCDC101,73.04,214.0,0.77852349,0,AZD_200nM,0.42504056897518605 -5237,GCTGTTGGCGAAGGCGCTGTCCTTGGGGCA,MED12,87.64,1908.0,0.124458874,0,AZD_200nM,0.17857215293150613 -5238,GCTGTTGGCGAAGGCGCTGTCCTTGGGGCA,MED12,87.64,1908.0,0.104978355,0,PLX_2uM,0.17857215293150613 -5239,GATCTTGGGGGTCAGTCTGTTCTCAGGGTC,NF2,41.68,248.0,0.448430493,0,PLX_2uM,0.36485915755105763 -5240,CAGATTGGTAGTTCACCAGCATTAAGGAGT,MED12,53.15,1157.0,0.649350649,0,AZD_200nM,0.5175743738324833 -5241,CAGATTGGTAGTTCACCAGCATTAAGGAGT,MED12,53.15,1157.0,0.573593074,0,PLX_2uM,0.5175743738324833 -5242,TACTTTGGTCCAAGGTGGTGGCCGAGGCGG,CD13,6.41,62.0,0.11868131900000001,0,nodrug,0.5358892404905284 -5243,GCGGTTGGTCGTACTGTTTGGGGTGGGAAA,MED12,34.86,759.0,0.725108225,0,AZD_200nM,0.565180998456258 -5244,GCGGTTGGTCGTACTGTTTGGGGTGGGAAA,MED12,34.86,759.0,0.652597403,0,PLX_2uM,0.565180998456258 -5245,TCAGTTGGTGGTAGTAGCGGACCCGGGCCT,CD15,70.0,371.0,0.648351648,0,nodrug,0.5923923374722324 -5246,GGGGTTGGTGGTGGCTGAGGCGGACGGGGT,CD13,5.48,53.0,0.304395604,0,nodrug,0.39913716045827147 -5247,CCCTTTGTAACCGAATCTTTGGATTGGGAC,MED12,22.32,486.0,0.8409090909999999,1,AZD_200nM,0.5421476698764393 -5248,CCCTTTGTAACCGAATCTTTGGATTGGGAC,MED12,22.32,486.0,0.805194805,1,PLX_2uM,0.5421476698764393 -5249,CAAGTTGTACGTTATGGGTGTATTAGGGAT,CUL3,20.44,157.0,0.019480518999999998,0,PLX_2uM,0.26137942479802595 -5250,TATGTTGTCAAGCTAAGGCGACAGAGGTGT,CD45,63.45,717.0,0.8628158840000001,1,nodrug,0.7105106137343232 -5251,CTGATTGTCAGCTTCCTCAGGAATGGGTAG,MED12,59.26,1290.0,0.672077922,0,AZD_200nM,0.5576595139078651 -5252,CTGATTGTCAGCTTCCTCAGGAATGGGTAG,MED12,59.26,1290.0,0.648268398,0,PLX_2uM,0.5576595139078651 -5253,AAGGTTGTCCAACTGACATCTTTCAGGTAT,CD45,15.49,175.0,0.093862816,0,nodrug,0.25873862749951565 -5254,CTTCTTGTCCTTCCCCAGGAAGGCTGGCAC,TADA2B,55.24,232.0,0.37894736799999995,0,AZD_200nM,0.43527831297556435 -5255,GCCATTGTCTCACCGTATGAAGCAGGGATT,NF1,50.16,1424.0,0.797554348,0,PLX_2uM,0.6864026727233613 -5256,ATGCTTGTGATACTTCATCCCTTCTGGGGA,CD45,86.81,981.0,0.10108303199999999,0,nodrug,0.19329383599894734 -5257,CGAATTGTGATCACATCCTCTGATTGGCAA,NF1,46.25,1313.0,0.581521739,0,PLX_2uM,0.5341112539219875 -5258,TACCTTGTGCAGCAATGTATTTCCTGGGTT,CD45,48.41,547.0,0.072202166,0,nodrug,0.3426877527609837 -5259,CTCCTTGTGCTCTGGGTCATCGGCAGGATC,MED12,29.49,642.0,0.32034632,0,AZD_200nM,0.478494347510779 -5260,CTCCTTGTGCTCTGGGTCATCGGCAGGATC,MED12,29.49,642.0,0.41017316,0,PLX_2uM,0.478494347510779 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a/auto_search_corrected/azimuth/__pycache__/util.cpython-38.pyc and /dev/null differ diff --git a/auto_search_corrected/azimuth/azure_models/V3_model_full.pickle b/auto_search_corrected/azimuth/azure_models/V3_model_full.pickle deleted file mode 100644 index dcbe3a4..0000000 Binary files a/auto_search_corrected/azimuth/azure_models/V3_model_full.pickle and /dev/null differ diff --git a/auto_search_corrected/azimuth/azure_models/V3_model_nopos.pickle b/auto_search_corrected/azimuth/azure_models/V3_model_nopos.pickle deleted file mode 100644 index 7fffa3c..0000000 Binary files a/auto_search_corrected/azimuth/azure_models/V3_model_nopos.pickle and /dev/null differ diff --git a/auto_search_corrected/azimuth/cli_run_model.py b/auto_search_corrected/azimuth/cli_run_model.py deleted file mode 100644 index cdcb999..0000000 --- a/auto_search_corrected/azimuth/cli_run_model.py +++ /dev/null @@ -1,54 +0,0 @@ -import os -from model_comparison import * -import argparse - -# command-line version of model_comparison.py (see that file for more options?) - -if __name__ == '__main__': - usage = 'usage: cli_run_model.py model' - parser = argparse.ArgumentParser(usage=usage) - # model e.g. L1, or GP - parser.add_argument('model') - parser.add_argument('--test', dest='test', action='store_true', default=False) - parser.add_argument('--order', dest='order', action='store', type=int, default=1) - # applies only to GP: - parser.add_argument('--likelihood', dest='likelihood', action='store', type=str, default='gaussian') - # applies only to GP: - parser.add_argument('--weighted-degree', dest='WD', action='store', type=int, default=3) - - parser.add_argument('--adaboost-learning-rate', dest='adaboost_lr', action='store', type=float, default=0.1) - parser.add_argument('--adaboost-max-depth', dest='adaboost_max_depth', action='store', type=int, default=3) - parser.add_argument('--adaboost-num-estimators', dest='adaboost_num_estimators', action='store', type=int, default=100) - parser.add_argument('--adaboost-CV', dest='adaboost_CV', action='store_true', default=False) - - parser.add_argument('--output-dir', dest='output_dir', action='store', type=str, default='./') - - parser.add_argument('--exp-name', dest='exp_name', action='store', type=str, default=None) - - options = parser.parse_args() - - # store current directory - cur_dir = os.getcwd() - abspath = os.path.abspath(__file__) - dname = os.path.dirname(abspath) - # change directory to script directory so that relative paths work - os.chdir(dname) - - with open(options.output_dir + '/learn_options.pickle', 'rb') as f: - learn_options = pickle.load(f) - - results, all_learn_options = run_models([options.model], learn_options_set=learn_options, orders=[options.order], test=options.test, - GP_likelihoods=[options.likelihood], WD_kernel_degrees=[options.WD], - adaboost_num_estimators=[options.adaboost_num_estimators], - adaboost_max_depths=[options.adaboost_max_depth], adaboost_learning_rates=[options.adaboost_lr], - adaboost_CV=options.adaboost_CV) - - if options.exp_name is None: - exp_name = results.keys()[0] - else: - exp_name = results.keys()[0] - - os.chdir(cur_dir) - - with open(options.output_dir+'/' + exp_name + '.pickle', 'wb') as f: - pickle.dump((results, all_learn_options), f) diff --git a/auto_search_corrected/azimuth/cluster_job.py b/auto_search_corrected/azimuth/cluster_job.py deleted file mode 100644 index c799ce8..0000000 --- a/auto_search_corrected/azimuth/cluster_job.py +++ /dev/null @@ -1,118 +0,0 @@ -from IPython.parallel.apps.winhpcjob import * -import tempfile -import pickle - -# just execute this file in python to create the xml file for the cluster (in ./analysis/cluster), which one then can manually submit through the HPC Job Manager - -def cluster_setup(i, python_path, home, t, work_dir, tempdir): - t.work_directory = work_dir - #t.std_out_file_path = r'cluster\log\cluster_out%d.txt' % i - #t.std_err_file_path = r'cluster\log\cluster_err%d.txt' % i - t.std_out_file_path = tempdir + r'\out%d.txt' % i - t.std_err_file_path = tempdir + r'\err%d.txt' % i - #t.std_out_file_path = r'out%d.txt' % i - #t.std_err_file_path = r'err%d.txt' % i - #if not os.path.exists(t.std_out_file_path): os.makedirs(t.std_out_file_path) - #if not os.path.exists(t.std_err_file_path): os.makedirs(t.std_err_file_path) - t.environment_variables['PYTHONPATH'] = python_path - t.environment_variables['HOME'] = home - - print "cluster python_path=%s" % python_path - -def create(user, models, orders, degrees, GP_likelihoods, adaboost_learning_rates=None, adaboost_num_estimators=None, adaboost_max_depths=None, adaboost_CV=False, exp_name=None, learn_options=None): - job = WinHPCJob() - job.job_name = 'CRISPR.%s' % exp_name - if user == 'fusi': - job.username = 'REDMOND\\fusi' - elif user =='jennl': - job.username = 'REDMOND\\jennl' - else: - raise Exception("ensure you are using the right username, then add a clause here") - job.priority = 'Normal' - job.min_nodes = 1 - job.max_nodes = 5000 - job.min_cores = 1 - job.max_cores = 5000 - - if job.username == 'REDMOND\\fusi': - remote_dir = r'\\fusi1\crispr2\analysis\cluster\results' - work_dir = r"\\FUSI1\crispr2\analysis" #working dir wherever you put it, even off the cluster - python = r'\\fusi1\crispr\python.exe' #this will not get copied, but used in-place - python_path = r'\\fusi1\crispr\lib\site-packages\;\\fusi1\crispr2\analysis' - home = r"\\fusi1\CLUSTER_HOME" - elif job.username == 'REDMOND\\jennl': - remote_dir = r"\\GCR\Scratch\RR1\jennl\CRISPR" - work_dir = r'\\jennl2\D$\Source\CRISPR\analysis' - python = r'\\fusi1\crispr\python.exe' - python_path = r'\\fusi1\crispr\lib\site-packages\;\\jennl2\D$\Source\CRISPR\analysis' - home = r"\\fusi1\CLUSTER_HOME" - - # print "workdir=%s" % work_dir - # print "python=%s" % python - # print "python_path=%s" % python_path - - # generate random dir in results directory - tempdir = tempfile.mkdtemp(prefix='cluster_experiment_', dir=remote_dir) - print "Created directory: %s" % str(tempdir) - - # dump learn_options - with open(tempdir+'/learn_options.pickle', 'wb') as f: - pickle.dump(learn_options, f) - - i = 0 - for model in models: - if model in ['L1', 'L2', 'linreg', 'doench', 'logregL1', 'RandomForest', 'SVC']: - for order in orders: - t = WinHPCTask() - t.task_name = 'CRISPR_task' - t.command_line = python + ' cli_run_model.py %s --order %d --output-dir %s --exp-name %s' % (model, order, tempdir, exp_name) - cluster_setup(i, python_path, home, t, work_dir, tempdir) - t.min_nodes = 1 - # t.min_cores = 1 - # t.max_cores = 100 - job.add_task(t) - i += 1 - - elif model in ['AdaBoost']: - for order in orders: - for learning_rate in adaboost_learning_rates: - for num_estimators in adaboost_num_estimators: - for max_depth in adaboost_max_depths: - t = WinHPCTask() - t.task_name = 'CRISPR_task' - t.command_line = python + ' cli_run_model.py %s --order %d --output-dir %s --adaboost-learning-rate %f --adaboost-num-estimators %d --adaboost-max-depth %d --exp-name %s' % (model, order, tempdir, learning_rate, num_estimators, max_depth, exp_name) - if adaboost_CV: - t.command_line += " --adaboost-CV" - cluster_setup(i, python_path, home, t, work_dir, tempdir) - t.min_nodes = 1 - job.add_task(t) - i += 1 - - elif model in ['GP']: - for likelihood in GP_likelihoods: - for degree in degrees: - t = WinHPCTask() - t.task_name = 'CRISPR_task' - t.command_line = python + ' cli_run_model.py %s --order 1 --weighted-degree %s --output-dir %s --likelihood %s --exp-name %s' % (model, degree, tempdir, likelihood, exp_name) - cluster_setup(i, python_path, home, t, work_dir, tempdir) - t.min_nodes = 1 - # t.min_cores = 1 - # t.max_cores = 100 - job.add_task(t) - i += 1 - - else: - t = WinHPCTask() - t.task_name = 'CRISPR_task' - t.command_line = python + ' cli_run_model.py %s --output-dir %s' % (model, tempdir) - cluster_setup(i, python_path, home, t, work_dir, tempdir) - t.min_cores = 1 - t.max_cores = 1 - - job.add_task(t) - i += 1 - - - clust_filename = 'cluster_job.xml' - job.write(tempdir+'/'+clust_filename) - return tempdir, job.username, clust_filename diff --git a/auto_search_corrected/azimuth/corrstats.py b/auto_search_corrected/azimuth/corrstats.py deleted file mode 100644 index 619157a..0000000 --- a/auto_search_corrected/azimuth/corrstats.py +++ /dev/null @@ -1,120 +0,0 @@ -""" -Functions for calculating the statistical significant differences between two dependent or independent correlation -coefficients. -The Fisher and Steiger method is adopted from the R package http://personality-project.org/r/html/paired.r.html -and is described in detail in the book 'Statistical Methods for Psychology' -The Zou method is adopted from http://seriousstats.wordpress.com/2012/02/05/comparing-correlations/ -Credit goes to the authors of above mentioned packages! -Author: Philipp Singer (www.philippsinger.info) - ------------------------------------------------------------- -README.md: -CorrelationStats -This Python script enables you to compute statistical significance tests on both dependent and independent correlation coefficients. For each case two methods to choose from are available. - -For details, please refer to: http://www.philippsinger.info/?p=347 -#copied from on 4/24/2015 from https://github.com/psinger/CorrelationStats/blob/master/corrstats.py -""" - - -from __future__ import division - -__author__ = 'psinger' - -import numpy as np -from scipy.stats import t, norm -from math import atanh, pow -from numpy import tanh - -def rz_ci(r, n, conf_level = 0.95): - zr_se = pow(1/(n - 3), .5) - moe = norm.ppf(1 - (1 - conf_level)/float(2)) * zr_se - zu = atanh(r) + moe - zl = atanh(r) - moe - return tanh((zl, zu)) - -def rho_rxy_rxz(rxy, rxz, ryz): - num = (ryz-1/2.*rxy*rxz)*(1-pow(rxy,2)-pow(rxz,2)-pow(ryz,2))+pow(ryz,3) - den = (1 - pow(rxy,2)) * (1 - pow(rxz,2)) - return num/float(den) - -def dependent_corr(xy, xz, yz, n, twotailed=True, conf_level=0.95, method='steiger'): - """ - Calculates the statistic significance between two dependent correlation coefficients - @param xy: correlation coefficient between x and y - @param xz: correlation coefficient between x and z - @param yz: correlation coefficient between y and z - @param n: number of elements in x, y and z - @param twotailed: whether to calculate a one or two tailed test, only works for 'steiger' method - @param conf_level: confidence level, only works for 'zou' method - @param method: defines the method uses, 'steiger' or 'zou' - @return: t and p-val - """ - if method == 'steiger': - d = xy - xz - determin = 1 - xy * xy - xz * xz - yz * yz + 2 * xy * xz * yz - av = (xy + xz)/2 - cube = (1 - yz) * (1 - yz) * (1 - yz) - - t2 = d * np.sqrt((n - 1) * (1 + yz)/(((2 * (n - 1)/(n - 3)) * determin + av * av * cube))) - p = 1 - t.cdf(abs(t2), n - 2) - - if twotailed: - p *= 2 - - return t2, p - elif method == 'zou': - L1 = rz_ci(xy, n, conf_level=conf_level)[0] - U1 = rz_ci(xy, n, conf_level=conf_level)[1] - L2 = rz_ci(xz, n, conf_level=conf_level)[0] - U2 = rz_ci(xz, n, conf_level=conf_level)[1] - rho_r12_r13 = rho_rxy_rxz(xy, xz, yz) - lower = xy - xz - pow((pow((xy - L1), 2) + pow((U2 - xz), 2) - 2 * rho_r12_r13 * (xy - L1) * (U2 - xz)), 0.5) - upper = xy - xz + pow((pow((U1 - xy), 2) + pow((xz - L2), 2) - 2 * rho_r12_r13 * (U1 - xy) * (xz - L2)), 0.5) - return lower, upper - else: - raise Exception('Wrong method!') - -def independent_corr(xy, ab, n, n2 = None, twotailed=True, conf_level=0.95, method='fisher'): - """ - Calculates the statistic significance between two independent correlation coefficients - @param xy: correlation coefficient between x and y - @param xz: correlation coefficient between a and b - @param n: number of elements in xy - @param n2: number of elements in ab (if distinct from n) - @param twotailed: whether to calculate a one or two tailed test, only works for 'fisher' method - @param conf_level: confidence level, only works for 'zou' method - @param method: defines the method uses, 'fisher' or 'zou' - @return: z and p-val - """ - - if method == 'fisher': - xy_z = 0.5 * np.log((1 + xy)/(1 - xy)) - xz_z = 0.5 * np.log((1 + ab)/(1 - ab)) - if n2 is None: - n2 = n - - se_diff_r = np.sqrt(1/(n - 3) + 1/(n2 - 3)) - diff = xy_z - xz_z - z = abs(diff / se_diff_r) - p = (1 - norm.cdf(z)) - if twotailed: - p *= 2 - - return z, p - elif method == 'zou': - L1 = rz_ci(xy, n, conf_level=conf_level)[0] - U1 = rz_ci(xy, n, conf_level=conf_level)[1] - L2 = rz_ci(ab, n2, conf_level=conf_level)[0] - U2 = rz_ci(ab, n2, conf_level=conf_level)[1] - lower = xy - ab - pow((pow((xy - L1), 2) + pow((U2 - ab), 2)), 0.5) - upper = xy - ab + pow((pow((U1 - xy), 2) + pow((ab - L2), 2)), 0.5) - return lower, upper - else: - raise Exception('Wrong method!') - -#print dependent_corr(.396, .179, .088, 200, method='steiger') -#print independent_corr(.560, .588, 100, 353, method='fisher') - -#print dependent_corr(.396, .179, .088, 200, method='zou') -#print independent_corr(.560, .588, 100, 353, method='zou') \ No newline at end of file diff --git a/auto_search_corrected/azimuth/data/FC_plus_RES_withPredictions.csv b/auto_search_corrected/azimuth/data/FC_plus_RES_withPredictions.csv deleted file mode 100644 index 29c0e84..0000000 --- a/auto_search_corrected/azimuth/data/FC_plus_RES_withPredictions.csv +++ /dev/null @@ -1,5311 +0,0 @@ -,30mer,Target gene,Percent Peptide,Amino Acid Cut position,score_drug_gene_rank,score_drug_gene_threshold,drug,predictions -0,CAGAAAAAAAAACACTGCAACAAGAGGGTA,CD5,72.87,360.0,0.083682008,0,nodrug,0.544411858399077 -1,TTTTAAAAAACCTACCGTAAACTCGGGTCA,NF1,65.8,1868.0,0.868206522,1,PLX_2uM,0.6175122137988865 -2,TCAGAAAAAGCAGCGTCAGTGGATTGGCCC,CD5,84.21,416.0,0.18410041800000002,0,nodrug,0.47623183469474284 -3,AATAAAAAATAGGATTCCCAGCTTTGGAAG,NF1,56.39,1601.0,0.43206521700000006,0,PLX_2uM,0.45988200093404785 -4,GATGAAAAATATGTAAACAGCATTTGGGAC,CUL3,4.3,33.0,0.149350649,0,PLX_2uM,0.2908406196776585 -5,TTCCAAAAATTCTAACGTGAGGTGTGGCTC,NF1,67.7,1922.0,0.239130435,0,PLX_2uM,0.570407965512794 -6,CCAGAAAACAACGGCCCAGGAGGGCGGCCA,CD5,52.23,258.0,0.18828451899999998,0,nodrug,0.5924848939845893 -7,TTAGAAAACATGTTCCAGAGCAGTTGGTAG,NF1,44.24,1256.0,0.533967391,0,PLX_2uM,0.619402316314524 -8,GCCAAAAACCAGGGGCCGGTGCTGAGGGCA,MED12,16.31,355.0,0.579004329,0,AZD_200nM,0.49474304315991835 -9,GCCAAAAACCAGGGGCCGGTGCTGAGGGCA,MED12,16.31,355.0,0.612554113,0,PLX_2uM,0.49474304315991835 -10,AACAAAAACCTAGCCGGCTCCAAACGGGGA,TADA2B,78.1,328.0,0.084210526,0,AZD_200nM,0.37522693131138174 -11,CGTCAAAACTGGAAGGAATGTTTAGGGATA,CUL3,61.72,474.0,0.188311688,0,PLX_2uM,0.41434369434043977 -12,TTCAAAAAGATCGTACATGTTCACCGGAGG,TADA1,82.39,276.0,0.71559633,0,AZD_200nM,0.5607602116665414 -13,ATACAAAAGGAAGATTGCTGATGAGGGCAG,CD45,41.95,474.0,0.581227437,0,nodrug,0.6174712870877812 -14,GGTGAAAAGGACCCCACGAAGTGTTGGATA,HPRT1,78.44,171.0,0.34375,0,6TG_2ug/mL,0.500409190116154 -15,TCCTAAAAGGCAAGAAATGGAATCAGGGAT,NF1,90.17,2560.0,0.282608696,0,PLX_2uM,0.2402105197477595 -16,CAATAAAAGTATCAGTGTGTATAGAGGTGA,THY1,76.54,124.0,0.677419355,0,nodrug,0.5123059644513027 -17,ATGAAAAATATGTAAACAGCATTTGGGACC,CUL3,4.3,33.0,0.24675324699999998,0,PLX_2uM,0.40986192606716154 -18,TGATAAAATCTACAGTCATAGGAATGGATC,HPRT1,43.12,94.0,0.5625,0,6TG_2ug/mL,0.5861378368861838 -19,GTGCAAAATTAAAACGACTCCTGAAGGGTA,NF1,6.83,194.0,0.100543478,0,PLX_2uM,0.5083450384103347 -20,CACCAAACACAAGTGGGAGCAGGCTGGTGA,H2-K,46.07,170.0,0.692307692,0,nodrug,0.642402241716234 -21,TTTAAAACAGACTTTCTCTCTAAGTGGTTT,NF1,58.51,1661.0,0.975543478,1,PLX_2uM,0.5916098640442418 -22,AAGAAAACAGGGGCCCGAAACCCAAGGCAG,NF1,18.25,518.0,0.44293478299999994,0,PLX_2uM,0.6313676905098193 -23,AACGAAACAGTGACGTTCCGTCTCTGGAAT,CD28,45.87,100.0,0.013513513999999999,0,nodrug,0.4439004530287398 -24,TGGAAAACAGTGTGCAGTTCCAGTTGGAGG,CD5,12.55,62.0,0.715481172,0,nodrug,0.6305218551122606 -25,TGAGAAACATAAGGAGTATAGCCCTGGAGG,MED12,89.25,1943.0,0.198051948,0,AZD_200nM,0.3551152316511869 -26,TGAGAAACATAAGGAGTATAGCCCTGGAGG,MED12,89.25,1943.0,0.1504329,0,PLX_2uM,0.3551152316511869 -27,TCCGAAACATCTCGTACAGTGACAAGGAGG,NF2,45.04,268.0,0.632286996,0,PLX_2uM,0.6712923253532699 -28,AAAAAAACATGATATCTAAGTTAAAGGTAA,CUL3,59.64,458.0,0.071428571,0,PLX_2uM,0.3396189215594716 -29,CCAAAAACCAGGGGCCGGTGCTGAGGGCAC,MED12,16.26,354.0,0.477272727,0,AZD_200nM,0.5546447059757476 -30,CCAAAAACCAGGGGCCGGTGCTGAGGGCAC,MED12,16.26,354.0,0.533549784,0,PLX_2uM,0.5546447059757476 -31,ACAAAAACCTAGCCGGCTCCAAACGGGGAA,TADA2B,78.1,328.0,0.126315789,0,AZD_200nM,0.3835387749328504 -32,CCAGAAACGCCTAAGCCTAGTTGTGGGGAT,CD45,19.56,221.0,0.657039711,0,nodrug,0.5713270026541496 -33,ACAGAAACTGATGGGCTGGCATTCTGGGCT,CD43,11.14,44.0,0.007246376999999999,0,nodrug,0.19189369407064918 -34,TGCTAAACTGCCCACCTCAGTCCAGGGACA,MED12,66.1,1439.0,0.8365800870000001,1,AZD_200nM,0.7059911675473216 -35,TGCTAAACTGCCCACCTCAGTCCAGGGACA,MED12,66.1,1439.0,0.851731602,1,PLX_2uM,0.7059911675473216 -36,CTTCAAAGAAGGCCACTCGGGACTTGGCGC,NF2,98.66,587.0,0.139013453,0,PLX_2uM,0.22604443085192696 -37,TGACAAAGACTTCTGTGTCCAGAAGGGCAA,CD45,1.5,17.0,0.996389892,1,nodrug,0.6728217154459321 -38,CCCCAAAGAGGAGGAGAAGGTGCAAGGCCA,CD43,1.01,4.0,0.644927536,0,nodrug,0.5940822656150905 -39,CAGAAAAGAGTGATGGCACTGCTGAGGCGC,NF1,26.88,763.0,0.6902173909999999,0,PLX_2uM,0.6298749852388108 -40,ATGAAAAGATCTACTGCCCTCCTGAGGCTT,NF2,22.69,135.0,0.9372197309999999,1,PLX_2uM,0.7471390018736193 -41,AAGGAAAGCAGACTTATGGAGACATGGAAG,CD45,80.62,911.0,0.725631769,0,nodrug,0.5854654184578774 -42,GAGGAAAGCAGCCAGGACAGCAGTGGGCAG,CD33,80.49,293.0,0.26406926399999997,0,nodrug,0.5403754540040818 -43,TGGTAAAGCAGTCGCCCCTGCTTGTGGTAG,CD28,13.76,30.0,0.405405405,0,nodrug,0.5893242228362328 -44,CTCAAAAGCATGTCTTGGTGCTGGTGGGAT,CUL3,68.62,527.0,0.279220779,0,PLX_2uM,0.4613847191572748 -45,ATGCAAAGCCATATGAAATTGTAGTGGACC,NF1,57.84,1642.0,0.9646739129999999,1,PLX_2uM,0.7199002459027667 -46,ACGAAAAGCTCTTGCTGGCCATGGAGGAAG,NF1,10.92,310.0,0.36956521700000006,0,PLX_2uM,0.6781406532931712 -47,AGGTAAAGCTCTTGTTTCTGAAGAAGGAGA,CUL3,43.1,331.0,0.62987013,0,PLX_2uM,0.49966718918634156 -48,AAGGAAAGCTTATCGGTTACGAGATGGTCA,TADA1,59.7,200.0,0.568807339,0,AZD_200nM,0.6154171378893125 -49,CCTCAAAGCTTCGTGTTAATAAGCTGGTAA,NF2,49.41,294.0,0.439461883,0,PLX_2uM,0.5705774338363366 -50,ATCAAAAGGAGATACTTACACAACAGGAAA,NF1,93.59,2657.0,0.669836957,0,PLX_2uM,0.23175509522180537 -51,ATTGAAAGGATCATCACGAAACTCTGGCAT,TADA1,91.94,308.0,0.23853211,0,AZD_200nM,0.4406354963902275 -52,CCTAAAAGGCAAGAAATGGAATCAGGGATC,NF1,90.21,2561.0,0.266304348,0,PLX_2uM,0.38904290029634647 -53,AGCAAAAGGCCACAGTTATTGTCATGGTCA,CD45,50.88,575.0,0.653429603,0,nodrug,0.6741945739866068 -54,CTGAAAAGGCCCAGATCACCGAGGAGGAGG,NF2,65.88,392.0,0.6008968610000001,0,PLX_2uM,0.7274310081298514 -55,CCGGAAAGGCCCGGATCCGCATCTTGGTGT,CUL3,2.08,16.0,0.506493506,0,PLX_2uM,0.484396171965372 -56,TGTTAAAGGCTGCTGGGGAAGAATTGGAGA,MED12,66.61,1450.0,0.6536796539999999,0,AZD_200nM,0.4336739339986081 -57,TGTTAAAGGCTGCTGGGGAAGAATTGGAGA,MED12,66.61,1450.0,0.7629870129999999,0,PLX_2uM,0.4336739339986081 -58,CCGCAAAGGGACAGCAGAAACTGGTGGGTT,MED12,36.29,790.0,0.6991341990000001,0,AZD_200nM,0.6403670819449289 -59,CCGCAAAGGGACAGCAGAAACTGGTGGGTT,MED12,36.29,790.0,0.6829004329999999,0,PLX_2uM,0.6403670819449289 -60,AAAAAAAGTAATTCACTTACAGTCTGGCTT,HPRT1,81.65,178.0,0.375,0,6TG_2ug/mL,0.42952609950621534 -61,CACAAAAGTAGTCGCCCTCATCCTTGGTGG,THY1,61.11,99.0,0.612903226,0,nodrug,0.5468501975621566 -62,CTGCAAAGTCTCTGGCAGGGGCGTAGGGCT,CD28,95.41,208.0,0.5,0,nodrug,0.3304016683981944 -63,GATGAAAGTGCGCAAACAGGTGGCAGGAAA,NF1,39.77,1129.0,0.22826087,0,PLX_2uM,0.5710475192012436 -64,TCAGAAATAATACCAACAACTGGAGGGAGA,CD13,76.53,740.0,0.752747253,0,nodrug,0.5760529153812876 -65,GTGGAAATACCAGTCAAATGTCCATGGATC,NF1,22.68,644.0,0.39673913,0,PLX_2uM,0.6243503475095715 -66,ACCCAAATCAAAGGAAATAGAAAATGGTCA,CUL3,85.16,654.0,0.75974026,0,PLX_2uM,0.3776143351358685 -67,GAGTAAATCCACTTACCTATAGGAAGGGTC,NF1,87.53,2485.0,0.546195652,0,PLX_2uM,0.5140931709299936 -68,CAGGAAATCCATGAGCCTGGACATGGGGCA,NF1,88.94,2525.0,0.710597826,0,PLX_2uM,0.4453548165549907 -69,CCAAAAATCCCCGCTTGTGAACACTGGGGT,NF2,26.39,157.0,0.502242152,0,PLX_2uM,0.5168211871016367 -70,TTCCAAATCCTCAGCATAATGATTAGGTAT,HPRT1,12.39,27.0,0.3125,0,6TG_2ug/mL,0.5035094465707799 -71,TAATAAATCTGTATCAGATGACTCCGGAAA,NF2,30.25,180.0,0.34529148,0,PLX_2uM,0.6508489780667635 -72,TTCTAAATGACATTTATTATGCTTCGGAAA,NF1,62.87,1785.0,0.22554347800000002,0,PLX_2uM,0.4310209889317773 -73,CCAGAAATGATGATTGCTGCTCAGGGGCCA,CD45,76.28,862.0,0.931407942,1,nodrug,0.6296470119577849 -74,CGATAAATGCCAGGAAGCTACTGCAGGTAT,MED12,20.58,448.0,0.8019480520000001,1,AZD_200nM,0.6203210170059139 -75,CGATAAATGCCAGGAAGCTACTGCAGGTAT,MED12,20.58,448.0,0.8906926409999999,1,PLX_2uM,0.6203210170059139 -76,TCCAAAATGCTAAGTGTGGAAATGAGGATT,CD45,6.55,74.0,0.38628158799999995,0,nodrug,0.5747327852961114 -77,TGCAAAATTAAAACGACTCCTGAAGGGTAA,NF1,6.83,194.0,0.900815217,1,PLX_2uM,0.6817258650647677 -78,TCATAAATTCCTCAAACTTTGAACTGGTAA,NF1,55.2,1567.0,0.75951087,0,PLX_2uM,0.44579538219453557 -79,ATCCAAATTTCTGGCTGCAAGTGCAGGAGT,CD33,6.87,25.0,0.20129870100000002,0,nodrug,0.5120353802369727 -80,GATAAAATTTGGCCAAGAAGTGAAAGGTGA,NF2,15.97,95.0,0.677130045,0,PLX_2uM,0.6506766709482937 -81,TTCCAACAAAATGTCAGAATGGATTGGCTC,CD45,40.71,460.0,0.288808664,0,nodrug,0.48605022058244024 -82,GATGAACAACAGGAACTCGTTGAAAGGGGT,CD45,39.47,446.0,0.458483755,0,nodrug,0.48164401285237457 -83,AGACAACAAGAGCTCTTGGTTGCAGGGATG,NF1,79.08,2245.0,0.61548913,0,PLX_2uM,0.45545032164644444 -84,TAGAAACAATATTGGATAAAGCAATGGTCC,CUL3,54.04,415.0,0.28571428600000004,0,PLX_2uM,0.5916450040521954 -85,AAGCAACAATGGCCAACGAAGCACTGGTGA,NF2,62.69,373.0,0.874439462,1,PLX_2uM,0.5487629833590951 -86,TCAAAACACTCAAGCACCCAGGTCAGGAAC,MED12,11.76,256.0,0.861471861,1,AZD_200nM,0.5617918932915468 -87,TCAAAACACTCAAGCACCCAGGTCAGGAAC,MED12,11.76,256.0,0.811688312,1,PLX_2uM,0.5617918932915468 -88,TGGTAACACTGAGACAGCTTCTCCTGGGCA,CD5,69.64,344.0,0.468619247,0,nodrug,0.4556350806528465 -89,GAGGAACAGAAGAACTTCCAGAGGAGGAGG,MED12,57.46,1251.0,0.795454545,0,AZD_200nM,0.6694770670686006 -90,GAGGAACAGAAGAACTTCCAGAGGAGGAGG,MED12,57.46,1251.0,0.8560606059999999,1,PLX_2uM,0.6694770670686006 -91,CAGCAACAGACAGCAGCTTTGGTCCGGCAA,MED12,98.99,2155.0,0.00974026,0,AZD_200nM,0.1708750175128909 -92,CAGCAACAGACAGCAGCTTTGGTCCGGCAA,MED12,98.99,2155.0,0.03030303,0,PLX_2uM,0.1708750175128909 -93,CCAGAACAGCAACGGTCGCCATGTTGGAGA,H2-K,82.66,305.0,0.426035503,0,nodrug,0.5072004451839539 -94,CGCCAACAGCAGGAGCAGCGTGCACGGTAC,H2-K,1.36,5.0,0.7692307690000001,0,nodrug,0.6002272872934398 -95,GTCAAACAGCTCACTGATCTGGGCCGGCGT,CD13,48.29,467.0,0.685714286,0,nodrug,0.5450770952809036 -96,AGACAACAGCTGAAACAGCCTCCTCGGTGA,TADA1,50.75,170.0,0.834862385,1,AZD_200nM,0.5568530268936819 -97,TGGAAACAGTCACAGAAGCTTTGTTGGAGA,NF1,77.81,2209.0,0.523097826,0,PLX_2uM,0.3545229735068057 -98,CTGTAACAGTGGACGAACTCGCCACGGATC,NF1,99.12,2814.0,0.044836957000000004,0,PLX_2uM,0.24139256904600198 -99,CATGAACATGACTCCCCGGAGGCCTGGGCT,CD28,89.91,196.0,0.054054054000000004,0,nodrug,0.24308282606995213 -100,GGTCAACATGTCTCTTCTTAACCTTGGTCT,MED12,8.04,175.0,0.594155844,0,AZD_200nM,0.5011373614015928 -101,GGTCAACATGTCTCTTCTTAACCTTGGTCT,MED12,8.04,175.0,0.6980519479999999,0,PLX_2uM,0.5011373614015928 -102,TTATAACCAAAGAAAACTTGTATTTGGAAA,NF1,1.73,49.0,0.09239130400000001,0,PLX_2uM,0.1603345104847015 -103,ATAGAACCAGGGTTTGGGTGGTGCAGGAGG,MED12,83.69,1822.0,0.386363636,0,AZD_200nM,0.3820730348122858 -104,ATAGAACCAGGGTTTGGGTGGTGCAGGAGG,MED12,83.69,1822.0,0.37337662299999996,0,PLX_2uM,0.3820730348122858 -105,TCAAAACCAGTGCAACAGGTGGCTTGGGAT,NF1,71.22,2022.0,0.214673913,0,PLX_2uM,0.3700717773941638 -106,AAGCAACCCAAGACGTTCACCGTGAGGATC,NF2,4.03,24.0,0.892376682,1,PLX_2uM,0.685805422262064 -107,CCCAAACCCAGCGGGCCTGGCCCCAGGCAC,CD5,75.91,375.0,0.054393305,0,nodrug,0.3809323068780741 -108,CAGGAACCCCATGGTCTGGCCAGCTGGTGA,CD45,57.08,645.0,0.108303249,0,nodrug,0.45935474365282714 -109,CTTCAACCCCTCAAAAAGATCCCAGGGCGA,MED12,77.58,1689.0,0.8008658009999999,1,AZD_200nM,0.5668920028610501 -110,CTTCAACCCCTCAAAAAGATCCCAGGGCGA,MED12,77.58,1689.0,0.768398268,0,PLX_2uM,0.5668920028610501 -111,ACACAACCGCCAAGGCCGATGCAGAGGCTG,CCDC101,23.89,70.0,0.932885906,1,AZD_200nM,0.5723678862250695 -112,CATGAACCGCTGGACCCTGCAGATGGGCTT,CD13,56.46,546.0,0.363736264,0,nodrug,0.5852724436823862 -113,CAAAAACCTAGCCGGCTCCAAACGGGGAAA,TADA2B,78.1,328.0,0.542105263,0,AZD_200nM,0.5919002076179043 -114,CATAAACCTGATGTCTCTAGTAACTGGCCC,NF1,66.64,1892.0,0.50951087,0,PLX_2uM,0.3886417224629452 -115,CACAAACCTGTGGCAGATACACACTGGTCC,NF1,54.88,1558.0,0.857336957,1,PLX_2uM,0.7121848839556527 -116,CCAGAACGATCTCTTCAGCACATCAGGCAA,CD13,63.5,614.0,0.07802197799999999,0,nodrug,0.4119677088408929 -117,CGGTAACGATTCCACGCTTTACTTTGGTCC,CD13,7.03,68.0,0.150549451,0,nodrug,0.3998991238503122 -118,TTCGAACGCACCTCCTTCTGTTTGGGGTCC,MED12,1.38,30.0,0.15259740300000002,0,AZD_200nM,0.39933864592233476 -119,TTCGAACGCACCTCCTTCTGTTTGGGGTCC,MED12,1.38,30.0,0.21645021600000003,0,PLX_2uM,0.39933864592233476 -120,CAGAAACGCCTAAGCCTAGTTGTGGGGATC,CD45,19.56,221.0,0.83032491,1,nodrug,0.708602249072967 -121,CGGGAACGCGACGCTGCTGCGCACAGGTGC,H2-K,54.74,202.0,0.526627219,0,nodrug,0.5197948337113282 -122,TGACAACGCGTGAGAATGGCCAGGAGGAAA,TADA1,19.1,64.0,0.9724770640000001,1,AZD_200nM,0.6950101635564532 -123,AATCAACGGAAGAACCAATTGTAAAGGTGG,CUL3,33.98,261.0,0.558441558,0,PLX_2uM,0.5783741794995475 -124,AAACAACGGCCCAGGAGGGCGGCCAGGCGC,CD5,52.63,260.0,0.21338912100000001,0,nodrug,0.400783194637463 -125,TAAAAACGTACAGGCCCCTGTCATTGGGGG,CD13,10.03,97.0,0.279120879,0,nodrug,0.40262694120436376 -126,TGAAAACGTGGACGGCGGCGGACATGGCGG,H2-K,42.82,158.0,0.473372781,0,nodrug,0.4851404289145021 -127,CCTTAACTACAGGCAAGGCTCCATAGGCCT,MED12,84.43,1838.0,0.296536797,0,AZD_200nM,0.46791802862334353 -128,CCTTAACTACAGGCAAGGCTCCATAGGCCT,MED12,84.43,1838.0,0.32683982699999997,0,PLX_2uM,0.46791802862334353 -129,TGGAAACTACTGAATTGTCTTCTTTGGAGA,CD43,21.27,84.0,0.065217391,0,nodrug,0.24326173260147355 -130,TTTTAACTAGAATGACCAGTCAACAGGGGA,HPRT1,50.46,110.0,0.40625,0,6TG_2ug/mL,0.398066122908845 -131,GTGGAACTCAGTGACATTCCAGTTGGGGTC,CD13,27.3,264.0,0.403296703,0,nodrug,0.47234880070959284 -132,CAGAAACTGATGGGCTGGCATTCTGGGCTT,CD43,11.14,44.0,0.057971014,0,nodrug,0.321747486079785 -133,GATGAACTGCACATGCTGCACCAGAGGCAA,MED12,39.96,870.0,0.49891774899999997,0,AZD_200nM,0.609625418351504 -134,GATGAACTGCACATGCTGCACCAGAGGCAA,MED12,39.96,870.0,0.7218614720000001,0,PLX_2uM,0.609625418351504 -135,ACAGAACTGGTTGCTGTGGTAGCAGGGAGT,CD43,51.9,205.0,0.8623188409999999,1,nodrug,0.5929168435215941 -136,TTTCAACTGTCCCCTCAGGTGGGGAGGATG,MED12,37.16,809.0,0.067099567,0,AZD_200nM,0.47746205808227665 -137,TTTCAACTGTCCCCTCAGGTGGGGAGGATG,MED12,37.16,809.0,0.06385281400000001,0,PLX_2uM,0.47746205808227665 -138,AGCCAACTTCACCACCAAGGATGAGGGCGA,THY1,61.11,99.0,0.870967742,1,nodrug,0.616933131267643 -139,GCTGAACTTCGGAATTCTGCCTCTGGGGTT,NF1,4.9,139.0,0.44701087,0,PLX_2uM,0.4328516959575935 -140,CTCTAACTTTAACTTTGCATTGGTTGGACA,NF1,84.18,2390.0,0.20108695699999998,0,PLX_2uM,0.3360758786132965 -141,CAAGAAGAAAATAAGAAGAAGAACAGGAAT,CD45,70.62,798.0,0.259927798,0,nodrug,0.39139742326759847 -142,CTAAAAGAAACGATCGGTGACTTTTGGCAG,CD45,77.17,872.0,0.306859206,0,nodrug,0.3196097604646042 -143,CAAGAAGAACTTAAGCGAGGCCCTGGGGGA,TADA1,5.37,18.0,0.944954128,1,AZD_200nM,0.567163101426208 -144,TCGAAAGACAGGCTGTCACCAATGAGGTTG,NF2,84.2,501.0,0.587443946,0,PLX_2uM,0.632692758977932 -145,AAGGAAGACTGGCGCATGGTCCACTGGTCC,MED12,62.2,1354.0,0.9837662340000001,1,AZD_200nM,0.5816193303149652 -146,AAGGAAGACTGGCGCATGGTCCACTGGTCC,MED12,62.2,1354.0,0.993506494,1,PLX_2uM,0.5816193303149652 -147,ATTGAAGAGAGACAGTACATGCCCTGGGAG,CD13,71.77,694.0,0.992307692,1,nodrug,0.5857518339310746 -148,AGCGAAGAGCCAAGCAGAAGCTCCTGGAGA,NF2,79.33,472.0,0.340807175,0,PLX_2uM,0.3924092307469042 -149,TAGGAAGAGCTGGGAGTCATCTGATGGACA,MED12,88.61,1929.0,0.29978355,0,AZD_200nM,0.45261782652197247 -150,TAGGAAGAGCTGGGAGTCATCTGATGGACA,MED12,88.61,1929.0,0.449134199,0,PLX_2uM,0.45261782652197247 -151,AGAGAAGAGGAAGCACGTGCTCTCAGGCAC,THY1,39.51,64.0,0.20967741899999998,0,nodrug,0.5048226135269286 -152,GCCCAAGAGGAATTGCTTCCAAAAAGGGTA,NF2,28.74,171.0,0.21973094199999998,0,PLX_2uM,0.35351821972290276 -153,GATGAAGATGAGAAGGAGAAACACAGGTAG,H2-K,90.51,334.0,0.165680473,0,nodrug,0.4769984452586012 -154,AGGGAAGATGAGCTGCCACATCAAGGGAAT,NF1,73.79,2095.0,0.36820652200000004,0,PLX_2uM,0.5276122654962044 -155,AGGTAAGATGTTTGGTATTGTGGTGGGGAT,NF1,94.96,2696.0,0.262228261,0,PLX_2uM,0.34982759142769204 -156,TGTAAAGCAAGTACTTACATCAATTGGGAA,NF1,11.8,335.0,0.14945652199999998,0,PLX_2uM,0.34156284807548537 -157,GGAAAAGCAGGTACGAGGCCAGGGAGGAGG,CD15,88.3,468.0,0.5970695970000001,0,nodrug,0.5413139521509915 -158,CTGGAAGCAGTGCTGATGTCTTGCTGGAAA,CD43,27.59,109.0,0.384057971,0,nodrug,0.4585157290903393 -159,GGCCAAGCATGGAGGAAGGCACTCGGGCTT,CD45,53.01,599.0,0.566787004,0,nodrug,0.6248557972715859 -160,TCAAAAGCATGTCTTGGTGCTGGTGGGATG,CUL3,68.49,526.0,0.974025974,1,PLX_2uM,0.6333755611504969 -161,TCGAAAGCCAGGTAGAACTTGTAGCGGGCC,CD15,76.79,407.0,0.6886446890000001,0,nodrug,0.6558550538464056 -162,GCTGAAGCCCCTGGCGCTGGAACTGGGTGG,MED12,98.16,2137.0,0.051948052,0,AZD_200nM,0.048047398015562647 -163,GCTGAAGCCCCTGGCGCTGGAACTGGGTGG,MED12,98.16,2137.0,0.023809524,0,PLX_2uM,0.048047398015562647 -164,CTTCAAGCCCCTTTCGATTCTAGGTGGTGG,NF1,50.51,1434.0,0.9415760870000001,1,PLX_2uM,0.6760602397663041 -165,CCAAAAGCCGCCTTCCTAGCTACCTGGACA,TADA2B,94.29,396.0,0.24210526300000001,0,AZD_200nM,0.4099898997233438 -166,GTTGAAGCGCAGCCGGCAGTCAGGGGGCGG,CD15,39.62,210.0,0.582417582,0,nodrug,0.584514994931369 -167,TTGTAAGCTACTACACTATTCTTCAGGTAT,TADA1,65.37,219.0,0.19266055,0,AZD_200nM,0.39476045267989474 -168,AGAAAAGCTATTTGACTTGGTGGATGGTTT,NF1,8.91,253.0,0.774456522,0,PLX_2uM,0.6063964890124454 -169,TGATAAGCTGAAAAAGGGAGTCAAAGGGGT,CUL3,52.08,400.0,0.324675325,0,PLX_2uM,0.5089672141907191 -170,TACCAAGCTGGGACTTCCAAAGCTGGGAAT,NF1,56.39,1601.0,0.532608696,0,PLX_2uM,0.6759203760590436 -171,CTCCAAGGACAACCAGAACAGCAACGGTCG,H2-K,83.74,309.0,0.591715976,0,nodrug,0.5836526308093724 -172,GGCCAAGGACAGGCCCCTGGGCCTGGGGAA,CD5,39.47,195.0,0.025104603,0,nodrug,0.35472536797338716 -173,GAGGAAGGAGAACAAAAACCTAGCCGGCTC,TADA2B,77.14,324.0,0.294736842,0,AZD_200nM,0.5454067862209092 -174,CTCGAAGGAGACCATCAGCCCCTGGGGGCA,CD43,16.2,64.0,0.5579710139999999,0,nodrug,0.6331357199248662 -175,GGGTAAGGAGATGTGGGAGTCAGGAGGGAT,NF1,97.08,2756.0,0.15625,0,PLX_2uM,0.17540148308600584 -176,AAGCAAGGATACAGCGCTCTGCAGAGGAGC,MED12,44.42,967.0,0.756493506,0,AZD_200nM,0.6451792268201865 -177,AAGCAAGGATACAGCGCTCTGCAGAGGAGC,MED12,44.42,967.0,0.8939393940000001,1,PLX_2uM,0.6451792268201865 -178,ACTGAAGGCAGCTCTGAACATCTAGGGCAA,NF1,34.62,983.0,0.489130435,0,PLX_2uM,0.6157268994024162 -179,CTACAAGGCCAAGGACAGGCCCCTGGGCCT,CD5,39.07,193.0,0.6861924690000001,0,nodrug,0.5850487977561747 -180,AGCTAAGGCGACAGAGGTGTCTGATGGTGC,CD45,63.72,720.0,0.8953068590000001,1,nodrug,0.6464816007807989 -181,TGGTAAGGCTGGCTGGAGTAGCTGGGGGGC,MED12,90.35,1967.0,0.226190476,0,AZD_200nM,0.2097459696263743 -182,TGGTAAGGCTGGCTGGAGTAGCTGGGGGGC,MED12,90.35,1967.0,0.192640693,0,PLX_2uM,0.2097459696263743 -183,CGCAAAGGGACAGCAGAAACTGGTGGGTTT,MED12,36.33,791.0,0.943722944,1,AZD_200nM,0.6590486916404167 -184,CGCAAAGGGACAGCAGAAACTGGTGGGTTT,MED12,36.33,791.0,0.9188311690000001,1,PLX_2uM,0.6590486916404167 -185,TAAAAAGGGCACAGAGCTGCTGCTTGGAGT,NF2,39.16,233.0,0.995515695,1,PLX_2uM,0.5779059576168712 -186,CTGCAAGGTATCCTTCAGAACCTTTGGGAG,NF1,88.02,2499.0,0.332880435,0,PLX_2uM,0.34315695505067706 -187,TGAAAAGGTGAAGGAGGATGCGGCAGGTAA,MED12,53.93,1174.0,0.961038961,1,AZD_200nM,0.6216470922681534 -188,TGAAAAGGTGAAGGAGGATGCGGCAGGTAA,MED12,53.93,1174.0,0.9978354979999999,1,PLX_2uM,0.6216470922681534 -189,AAACAAGGTGAATCCGACCCAGAGAGGAAA,CUL3,89.45,687.0,0.857142857,1,PLX_2uM,0.6193446209835572 -190,GCCCAAGGTTCAGAGCCGCCTGGTCGGGGG,CD5,56.28,278.0,0.644351464,0,nodrug,0.5257021314355648 -191,GCACAAGTAACTGGCTCTAATACACGGAAG,CUL3,76.43,587.0,0.883116883,1,PLX_2uM,0.6182077555144192 -192,GTGGAAGTAGCGGCGATAGACCGCGGGGTT,CD15,90.75,481.0,0.564102564,0,nodrug,0.4579991598395823 -193,TGCAAAGTCTCTGGCAGGGGCGTAGGGCTG,CD28,95.41,208.0,0.635135135,0,nodrug,0.4704458165622717 -194,TGGAAAGTGCAGAAACAGAAGATGTGGTTG,CD45,90.09,1018.0,0.750902527,0,nodrug,0.5495129605147889 -195,GCTGAAGTGCGCCAGAGATCACAGTGGGAG,CD5,59.92,296.0,0.669456067,0,nodrug,0.8238284330067072 -196,TGAGAAGTTCTGCAATGCGGGAATCGGCAG,CCDC101,2.73,8.0,0.543624161,0,AZD_200nM,0.4500164909666838 -197,TTCGAAGTTGAGGGGGGAATTCTGAGGAGG,NF1,47.76,1356.0,0.88451087,1,PLX_2uM,0.6218540638066491 -198,CCAGAAGTTTGAGCCACAAACCCATGGTCA,CD45,0.35,4.0,0.841155235,1,nodrug,0.6837122272778907 -199,GCAAAATAAATCAAGGTCATAACCTGGTTC,HPRT1,7.8,17.0,0.6875,0,6TG_2ug/mL,0.6225657192719443 -200,TTTCAATAACCAGCCTGCTGTCTCTGGGGA,MED12,2.34,51.0,0.44696969700000005,0,AZD_200nM,0.39564516358222346 -201,TTTCAATAACCAGCCTGCTGTCTCTGGGGA,MED12,2.34,51.0,0.41341991299999997,0,PLX_2uM,0.39564516358222346 -202,GTAAAATAATGACATTCTGTTTCAAGGTTT,NF1,45.4,1289.0,0.014945652,0,PLX_2uM,0.3986052220658777 -203,GCCAAATACACAGTGCCTGTGATGCGGGCT,MED12,7.07,154.0,0.958874459,1,AZD_200nM,0.6408428599686422 -204,GCCAAATACACAGTGCCTGTGATGCGGGCT,MED12,7.07,154.0,0.9675324679999999,1,PLX_2uM,0.6408428599686422 -205,GTTAAATAGCATTGGATACAGAGCAGGACT,NF1,32.72,929.0,0.9361413040000001,1,PLX_2uM,0.6034715730909512 -206,AGACAATAGTATAAATGTTACATGTGGTCC,CD45,29.2,330.0,0.819494585,1,nodrug,0.7471209869028365 -207,CTGCAATAGTCACTGGAGCTGTGGTGGCTT,H2-K,87.53,323.0,0.568047337,0,nodrug,0.5179235075068376 -208,TGGAAATATAGAAGCCCTTGGCCATGGTGA,CD13,0.21,2.0,0.597802198,0,nodrug,0.567084079333408 -209,GGCCAATATCCTGTCGTGAGCACCCGGACT,CUL3,66.02,507.0,0.961038961,1,PLX_2uM,0.5802073390867513 -210,GCTCAATATCGCATTACTTAATTTAGGCAG,NF1,65.55,1861.0,0.932065217,1,PLX_2uM,0.3996393253822647 -211,TCTGAATATCTCAAAAGCATGTCTTGGTGC,CUL3,69.01,530.0,0.298701299,0,PLX_2uM,0.5362805726075719 -212,CAAAAATATGGGGAAGCCTTGGGCAGGTAT,NF1,70.48,2001.0,0.505434783,0,PLX_2uM,0.49128485638251984 -213,TCCAAATATGTTGGTACTGGGCTGTGGCTG,MED12,99.63,2169.0,0.272727273,0,AZD_200nM,0.2098561542783104 -214,TCCAAATATGTTGGTACTGGGCTGTGGCTG,MED12,99.63,2169.0,0.245670996,0,PLX_2uM,0.2098561542783104 -215,AGAAAATCACCAAGGATATCTTGAAGGTTC,MED12,35.78,779.0,0.685064935,0,AZD_200nM,0.5480806149474501 -216,AGAAAATCACCAAGGATATCTTGAAGGTTC,MED12,35.78,779.0,0.569264069,0,PLX_2uM,0.5480806149474501 -217,CCTGAATCATAGACACCAGGTCTTTGGGTT,CD45,85.13,962.0,0.11552346599999999,0,nodrug,0.2792008946456548 -218,AGTAAATCCACTTACCTATAGGAAGGGTCA,NF1,87.5,2484.0,0.951086957,1,PLX_2uM,0.5568610023084773 -219,AGGAAATCCATGAGCCTGGACATGGGGCAA,NF1,88.97,2526.0,0.43070652200000004,0,PLX_2uM,0.45623915188569664 -220,CTGCAATCCCACATGAGAAACATAAGGAGT,MED12,89.48,1948.0,0.25649350600000004,0,AZD_200nM,0.40898823792040256 -221,CTGCAATCCCACATGAGAAACATAAGGAGT,MED12,89.48,1948.0,0.20129870100000002,0,PLX_2uM,0.40898823792040256 -222,ATGAAATCCCAGTGCCTTACCCGCAGGATC,MED12,95.96,2089.0,0.003246753,0,AZD_200nM,0.24612752365505974 -223,ATGAAATCCCAGTGCCTTACCCGCAGGATC,MED12,95.96,2089.0,0.004329004,0,PLX_2uM,0.24612752365505974 -224,CAAAAATCCCCGCTTGTGAACACTGGGGTC,NF2,26.39,157.0,0.641255605,0,PLX_2uM,0.5246322273988262 -225,TAGGAATCGGGTTTCAGCGTGTTGGGGAGG,CD13,8.07,78.0,0.6241758239999999,0,nodrug,0.6115119523419034 -226,TGGCAATCTCCAGGAGCTTCTGCTTGGCTC,NF2,78.99,470.0,0.524663677,0,PLX_2uM,0.41326320894224294 -227,CCAAAATCTGACAACGCGTGAGAATGGCCA,TADA1,20.0,67.0,0.926605505,1,AZD_200nM,0.5318701128579246 -228,CTACAATCTGGTGCCAGCCTTCCTGGGGAA,TADA2B,55.24,232.0,0.136842105,0,AZD_200nM,0.49320085085265275 -229,TTTGAATCTTGACTCTGTGTAGTTTGGATG,CUL3,87.11,669.0,0.123376623,0,PLX_2uM,0.31823340934572325 -230,TGACAATGAAGGCCAGCAAGTACGTGGACA,CD13,28.75,278.0,0.817582418,1,nodrug,0.674729589119917 -231,CAGGAATGACACCCACCCTACCACAGGGTC,CD33,82.97,302.0,0.235930736,0,nodrug,0.5400431623263491 -232,TCATAATGACCAGCAAAGAAGTTAAGGATG,CD13,33.71,326.0,0.506593407,0,nodrug,0.4749053952747937 -233,GTGGAATGACCTGTGGCTGAACGAGGGCTT,CD13,42.4,410.0,0.972527473,1,nodrug,0.7028734546024371 -234,GCACAATGAGAACTCCGACAGGGGTGGCAG,NF2,95.46,568.0,0.09865470900000001,0,PLX_2uM,0.3315135794477191 -235,CTCCAATGAGTGCCCAGGGCGTCCAGGCAG,MED12,93.62,2038.0,0.061688312,0,AZD_200nM,0.16313009324917457 -236,CTCCAATGAGTGCCCAGGGCGTCCAGGCAG,MED12,93.62,2038.0,0.07359307400000001,0,PLX_2uM,0.16313009324917457 -237,AAACAATGCAGACTTTGCTTTCCTTGGTCA,HPRT1,67.89,148.0,0.234375,0,6TG_2ug/mL,0.4229003851662691 -238,CATTAATGCATCCTTTGTGATGGTAGGTAC,CD45,75.22,850.0,0.823104693,1,nodrug,0.5470504323363841 -239,CTCGAATGCCGAGTTCAACTGCGACGGGGA,CD28,39.91,87.0,0.581081081,0,nodrug,0.5566997885638093 -240,TTTTAATGGCTTGTGGCGGTTTGCAGGACC,NF1,95.6,2714.0,0.024456522,0,PLX_2uM,0.07631198817383045 -241,TGTCAATGGGAAGATTCAAAGAAATGGGAC,CD45,26.11,295.0,0.223826715,0,nodrug,0.42517874466396083 -242,CATCAATGTAGCTGGCATTTATGTAGGTGG,CD45,47.26,534.0,0.9386281590000001,1,nodrug,0.5928112452789396 -243,TTGGAATGTCTCAGCTCAAAAGTTCGGAGA,CD45,82.21,929.0,0.927797834,1,nodrug,0.5565319564591609 -244,CCAAAATGTTTCTACAGGAGCATCAGGATT,NF1,19.9,565.0,0.304347826,0,PLX_2uM,0.4750408552467292 -245,AATTAATTACAGGGCTCGTCCAACTGGTCC,NF1,18.7,531.0,0.278532609,0,PLX_2uM,0.4888270601346906 -246,TTTGAATTCTGTAGAAGTTATTTCTGGACA,NF1,10.53,299.0,0.23097826100000002,0,PLX_2uM,0.1884472719966013 -247,CACAAATTGCTGGGCTCCTGAGAGAGGATT,TADA1,35.82,120.0,0.5504587160000001,0,AZD_200nM,0.6332125156658635 -248,CCGAAATTGGGCTCCTGCACACAGTGGCCC,CD15,76.04,403.0,0.791208791,0,nodrug,0.6996437256889853 -249,AACCAATTGTAAAGGTGGTTGAAAGGGAAC,CUL3,34.51,265.0,0.6038961039999999,0,PLX_2uM,0.5158039794178231 -250,TCCAAATTTGTTAAATCCAATCCATGGAAT,NF1,94.43,2681.0,0.319293478,0,PLX_2uM,0.3401924289245903 -251,GCAGACAAAGCTGTAGCGGTTAGCAGGGTT,MED12,48.19,1049.0,0.03030303,0,AZD_200nM,0.45511922744186595 -252,GCAGACAAAGCTGTAGCGGTTAGCAGGGTT,MED12,48.19,1049.0,0.058441558,0,PLX_2uM,0.45511922744186595 -253,AAGAACAAATTTGGGGAGCTCTTCAGGTAA,MED12,45.61,993.0,0.10173160199999999,0,AZD_200nM,0.2612863358388832 -254,AAGAACAAATTTGGGGAGCTCTTCAGGTAA,MED12,45.61,993.0,0.094155844,0,PLX_2uM,0.2612863358388832 -255,CGCCACAACAGCAGTAGCGCCACGAGGGCC,CD43,67.09,265.0,0.9637681159999999,1,nodrug,0.711198094464772 -256,ATGAACAACAGGAACTCGTTGAAAGGGGTG,CD45,39.47,446.0,0.25631769,0,nodrug,0.5175943195661966 -257,TCACACAACATTTATTCTTCTTACAGGTAC,NF2,20.17,120.0,0.10762331800000001,0,PLX_2uM,0.2873356144381009 -258,GCCCACAACCATGACTGGCGTCATGGGTTT,MED12,86.59,1885.0,0.28030303,0,AZD_200nM,0.403630113502134 -259,GCCCACAACCATGACTGGCGTCATGGGTTT,MED12,86.59,1885.0,0.279220779,0,PLX_2uM,0.403630113502134 -260,CAGAACAAGAAGTAGAAACAATATTGGATA,CUL3,53.52,411.0,0.25974026,0,PLX_2uM,0.45213335028564394 -261,GGAAACAAGAGACCAGAGCAGGAGTGGTTC,CD33,70.33,256.0,0.25108225100000003,0,nodrug,0.5308261980044098 -262,ATCTACAAGAGTAGGATTGGTAGAAGGGTG,MED12,90.95,1980.0,0.13636363599999998,0,AZD_200nM,0.30538336435652125 -263,ATCTACAAGAGTAGGATTGGTAGAAGGGTG,MED12,90.95,1980.0,0.12770562800000002,0,PLX_2uM,0.30538336435652125 -264,GACAACAAGCTCTAACGAGACCAGTGGACC,CD43,42.78,169.0,0.7173913040000001,0,nodrug,0.7390069439779832 -265,CTTAACAATAAGCTCAGCATAGTCTGGAAT,NF1,96.05,2727.0,0.42119565200000003,0,PLX_2uM,0.17287531117296218 -266,CTCTACAATGACTCGGAGCCACCCCGGAAG,CCDC101,37.54,110.0,0.912751678,1,AZD_200nM,0.7470366691474717 -267,CCACACAATGATGCTTCCCACTCGAGGCCA,TADA1,43.88,147.0,0.52293578,0,AZD_200nM,0.6840848385927725 -268,GAAGACAATTCAGTAGTTTCCAAGGGGGTC,CD43,19.49,77.0,0.9492753620000001,1,nodrug,0.7210738524929549 -269,TCAAACACAACGATGGATGAATTCAGGCAA,CUL3,63.41,487.0,0.88961039,1,PLX_2uM,0.3728315515163587 -270,TATAACACACCTTAACTACAGGCAAGGCTC,MED12,84.29,1835.0,0.641774892,0,AZD_200nM,0.6175922600800373 -271,TATAACACACCTTAACTACAGGCAAGGCTC,MED12,84.29,1835.0,0.576839827,0,PLX_2uM,0.6175922600800373 -272,TCACACACACTGCTGCCCCCGACCAGGCGG,CD5,56.48,279.0,0.556485356,0,nodrug,0.565605697558185 -273,TGGCACACACTTCGAAGTTGAGGGGGGAAT,NF1,47.87,1359.0,0.991847826,1,PLX_2uM,0.7291693015236465 -274,TCTGACACAGACTCCCTACAGGAATGGATC,NF1,29.45,836.0,0.551630435,0,PLX_2uM,0.6357226762879846 -275,CGGTACACATCATTCAGCACCATGAGGTCT,CD13,44.98,435.0,0.61978022,0,nodrug,0.7696596429970249 -276,AGTCACACATGCCAGAGATTGCTCAGGAAG,NF1,19.09,542.0,0.804347826,1,PLX_2uM,0.6357840734485138 -277,CAGAACACCATCTACCTGAACCTGTGGGAC,CD13,53.46,517.0,0.416483516,0,nodrug,0.6413991686765734 -278,AACTACACCCTCAGCCAGGGGCACAGGGTG,CD13,13.96,135.0,0.571428571,0,nodrug,0.47722725134307464 -279,CCTCACACCTTGCAGATCCGGATCTGGGCC,CD13,31.23,302.0,0.292307692,0,nodrug,0.34151836532853946 -280,GCAAACACGGCTCCATCCACGATGCGGTTC,MED12,55.81,1215.0,0.825757576,1,AZD_200nM,0.7274687430954726 -281,GCAAACACGGCTCCATCCACGATGCGGTTC,MED12,55.81,1215.0,0.730519481,0,PLX_2uM,0.7274687430954726 -282,GTGCACACGGCTGCCACGCCCAGGAGGATC,CD13,1.86,18.0,0.542857143,0,nodrug,0.6666796006818949 -283,CCGAACACGTCCACGGTCACATGTTGGCTC,CD15,71.7,380.0,0.725274725,0,nodrug,0.6518811446906055 -284,GGAGACACTCACGGGTTATTATTGGGGTTC,CD13,81.08,784.0,0.47802197799999996,0,nodrug,0.5364060109555147 -285,AGGCACACTCCCCCAAGGGCACAAAGGAAG,NF1,29.76,845.0,0.682065217,0,PLX_2uM,0.6433797751530765 -286,GGTAACACTGAGACAGCTTCTCCTGGGCAC,CD5,69.64,344.0,0.623430962,0,nodrug,0.6077374337832094 -287,GCAAACACTGCCGAGCGATGAGGATGGCAA,MED12,52.14,1135.0,0.9989177490000001,1,AZD_200nM,0.7039051622782082 -288,GCAAACACTGCCGAGCGATGAGGATGGCAA,MED12,52.14,1135.0,0.9989177490000001,1,PLX_2uM,0.7039051622782082 -289,GGATACACTGGAAAAATGTCTTGCTGGGGT,NF1,3.31,94.0,0.082880435,0,PLX_2uM,0.3316709805090226 -290,TGAAACACTTCATAAAGCAGTGCAAGGTTG,NF1,15.89,451.0,0.614130435,0,PLX_2uM,0.6676819457455775 -291,ACTGACACTTCATCCACCCCACACCGGATA,NF1,25.4,721.0,0.346467391,0,PLX_2uM,0.720833882199213 -292,AGGCACAGAACAACCCTGTCTGCTGGGATC,CD45,88.5,1000.0,0.5595667870000001,0,nodrug,0.5148935777112406 -293,AAGTACAGAAGAAGCTGACCATAGAGGAGT,NF1,23.49,667.0,0.273097826,0,PLX_2uM,0.5829872046019974 -294,GTGTACAGAAGTAGGCAAGCCGGCGGGACA,MED12,13.6,296.0,0.924242424,1,AZD_200nM,0.6921197065801304 -295,GTGTACAGAAGTAGGCAAGCCGGCGGGACA,MED12,13.6,296.0,0.87012987,1,PLX_2uM,0.6921197065801304 -296,ATCCACAGACAAGCTGGTCAAGTGTGGCGG,THY1,80.25,130.0,0.629032258,0,nodrug,0.6191257045890104 -297,CTGGACAGACATGAGTTCCTGACCTGGGTG,MED12,11.76,256.0,0.896103896,1,AZD_200nM,0.6429209303373902 -298,CTGGACAGACATGAGTTCCTGACCTGGGTG,MED12,11.76,256.0,0.885281385,1,PLX_2uM,0.6429209303373902 -299,CGTGACAGACCACACCTGTCCCAGCGGAGG,TADA2B,32.86,138.0,0.9684210529999999,1,AZD_200nM,0.7388738417648991 -300,GTACACAGAGGTCTTATAAGAGGAGGGTTC,MED12,86.91,1892.0,0.7012987009999999,0,AZD_200nM,0.5811041625224554 -301,GTACACAGAGGTCTTATAAGAGGAGGGTTC,MED12,86.91,1892.0,0.581168831,0,PLX_2uM,0.5811041625224554 -302,GTGTACAGATCATAGAGATAAGCAAGGATA,MED12,44.69,973.0,0.906926407,1,AZD_200nM,0.7289615539580673 -303,GTGTACAGATCATAGAGATAAGCAAGGATA,MED12,44.69,973.0,0.86038961,1,PLX_2uM,0.7289615539580673 -304,CCCCACAGCCCCAGGATGACTACTCGGTCC,CCDC101,88.74,260.0,0.66442953,0,AZD_200nM,0.5449344733824664 -305,GGATACAGCTGAGGCCAAAAACCAGGGGCC,MED12,16.49,359.0,0.873376623,1,AZD_200nM,0.6504606956368192 -306,GGATACAGCTGAGGCCAAAAACCAGGGGCC,MED12,16.49,359.0,0.9556277059999999,1,PLX_2uM,0.6504606956368192 -307,TGAGACAGCTTCTCCTGGGCACAGAGGAAC,CD5,69.03,341.0,0.769874477,0,nodrug,0.6958696087008137 -308,TCAAACAGGACCGAGTAGTCATCCTGGGGC,CCDC101,88.05,258.0,0.684563758,0,AZD_200nM,0.5602754690847437 -309,TCACACAGGACTATGGAATGGGCCCGGGTC,MED12,82.91,1805.0,0.624458874,0,AZD_200nM,0.4768840646394549 -310,TCACACAGGACTATGGAATGGGCCCGGGTC,MED12,82.91,1805.0,0.667748918,0,PLX_2uM,0.4768840646394549 -311,TCTGACAGGAGCTCGAAGCCTGGAAGGTTC,TADA2B,82.38,346.0,0.557894737,0,AZD_200nM,0.5744039112359147 -312,TGTCACAGGATTGGCTGCAGTGACAGGAGG,CD43,32.15,127.0,0.355072464,0,nodrug,0.49307505351716074 -313,GCTCACAGGCCCAGGACACAGAGCAGGTCA,CD33,45.05,164.0,0.484848485,0,nodrug,0.5940261973036423 -314,ACTCACAGGCCCCCACCCCTCTGTGGGGCC,CCDC101,49.49,145.0,0.08724832199999999,0,AZD_200nM,0.43588395666767654 -315,AGAGACAGGCGGAGATTGAGGCTGAGGTTA,MED12,24.71,538.0,0.25865800899999997,0,AZD_200nM,0.5162533672673856 -316,AGAGACAGGCGGAGATTGAGGCTGAGGTTA,MED12,24.71,538.0,0.19047619,0,PLX_2uM,0.5162533672673856 -317,AGTGACAGGGACCTTATGGGCACTGGGAAT,CD13,69.39,671.0,0.6879120879999999,0,nodrug,0.5930566028507467 -318,TTGGACAGGGCTGTCAGGTCCTTGGGGTGG,CD13,24.92,241.0,0.796703297,0,nodrug,0.60537457444322 -319,GTCAACAGGGGACATAAAAGTAATTGGTGG,HPRT1,53.21,116.0,0.203125,0,6TG_2ug/mL,0.40333140302986503 -320,AACCACAGGGGATGCGGAACTGAAAGGTTC,MED12,56.73,1235.0,0.613636364,0,AZD_200nM,0.638846371784219 -321,AACCACAGGGGATGCGGAACTGAAAGGTTC,MED12,56.73,1235.0,0.621212121,0,PLX_2uM,0.638846371784219 -322,GGAAACAGGGGCTGGTGGCATGGGTGGTGA,CD15,67.74,359.0,0.37728937700000004,0,nodrug,0.46459885877713303 -323,AGGCACAGGTCATCTTAATGAGCCAGGCAG,MED12,7.3,159.0,0.8787878790000001,1,AZD_200nM,0.6060346615538299 -324,AGGCACAGGTCATCTTAATGAGCCAGGCAG,MED12,7.3,159.0,0.8712121209999999,1,PLX_2uM,0.6060346615538299 -325,ACTTACAGGTGACGTTGAGCTGGATGGTTC,CD33,62.64,228.0,0.7510822509999999,0,nodrug,0.5828453036215752 -326,TACAACAGTAAGCTCCAAGACCAGTGGTCC,CD43,46.08,182.0,0.615942029,0,nodrug,0.7414279087385268 -327,AGGCACAGTATATCCTGATTCATCAGGCTT,CD45,64.78,732.0,0.23465704,0,nodrug,0.5076730395405603 -328,TCTTACAGTCCGGGTGCTCACGACAGGATA,CUL3,66.28,509.0,0.922077922,1,PLX_2uM,0.5800066861558795 -329,GGAGACAGTGGATGGAGGAGGCTCTGGGAA,H2-K,80.49,297.0,0.029585799,0,nodrug,0.2875153504775556 -330,AGTTACAGTTATAGATATAGACTGCGGAGA,NF1,59.07,1677.0,0.976902174,1,PLX_2uM,0.7548446954810789 -331,TGTGACAGTTCTGCAGCCAGGGGCCGGGGA,CD5,62.35,308.0,0.380753138,0,nodrug,0.423392884543256 -332,TGACACATACCTGCAGTAGCTTCCTGGCAT,MED12,20.49,446.0,0.46645021600000003,0,AZD_200nM,0.45833270305195095 -333,TGACACATACCTGCAGTAGCTTCCTGGCAT,MED12,20.49,446.0,0.40043290000000004,0,PLX_2uM,0.45833270305195095 -334,TGCCACATACCTGCTGGGAACGCTGGGTGA,CD5,3.24,16.0,0.728033473,0,nodrug,0.5941336609338248 -335,ACTTACATAGCTGCACACCACCCCAGGCCG,CD45,91.68,1036.0,0.870036101,1,nodrug,0.5470082830005383 -336,GTGAACATCCAGAAGACCCATGAGCGGATG,CCDC101,14.68,43.0,0.5838926170000001,0,AZD_200nM,0.7301182991524469 -337,ATCCACATCGACTGCTGGACAATGAGGATG,MED12,61.23,1333.0,0.754329004,0,AZD_200nM,0.6749685240767169 -338,ATCCACATCGACTGCTGGACAATGAGGATG,MED12,61.23,1333.0,0.739177489,0,PLX_2uM,0.6749685240767169 -339,GTAAACATCGGGAGGCCCCAGCCGCGGCCG,MED12,0.87,19.0,0.48376623399999996,0,AZD_200nM,0.6007981595716417 -340,GTAAACATCGGGAGGCCCCAGCCGCGGCCG,MED12,0.87,19.0,0.411255411,0,PLX_2uM,0.6007981595716417 -341,CTCGACATCTGGCTTCTCAGGGGATGGACT,MED12,32.2,701.0,0.581168831,0,AZD_200nM,0.5369569983716291 -342,CTCGACATCTGGCTTCTCAGGGGATGGACT,MED12,32.2,701.0,0.613636364,0,PLX_2uM,0.5369569983716291 -343,AGGTACATGAAAAAGAAGAATTCAAGGCTT,NF1,55.79,1584.0,0.917119565,1,PLX_2uM,0.542828871726444 -344,GACTACATGAACATGACTCCCCGGAGGCCT,CD28,89.45,195.0,0.8243243240000001,1,nodrug,0.6465818079457488 -345,ATGAACATGACTCCCCGGAGGCCTGGGCTC,CD28,90.37,197.0,0.10810810800000001,0,nodrug,0.34927741118107514 -346,TTACACATGCCATGTGTACCATCAGGGGCT,H2-K,76.96,284.0,0.639053254,0,nodrug,0.5993645492119234 -347,TGGAACATGCCTCCTTCTTGAAGATGGAAT,MED12,76.8,1672.0,0.156926407,0,AZD_200nM,0.43519452533165487 -348,TGGAACATGCCTCCTTCTTGAAGATGGAAT,MED12,76.8,1672.0,0.173160173,0,PLX_2uM,0.43519452533165487 -349,CAGGACATGGAGCTTGTGGAGACCAGGCCT,H2-K,68.83,254.0,0.047337277999999997,0,nodrug,0.45204347376385146 -350,CCACACATGGCCAGCAGCACCACCAGGAGT,CD5,78.95,390.0,0.661087866,0,nodrug,0.5622325235383449 -351,TAACACATGTCCCTGGACTGAGGTGGGCAG,MED12,66.05,1438.0,0.7370129870000001,0,AZD_200nM,0.6683284222191603 -352,TAACACATGTCCCTGGACTGAGGTGGGCAG,MED12,66.05,1438.0,0.672077922,0,PLX_2uM,0.6683284222191603 -353,AGGGACATGTGTTAAAGGCTGCTGGGGAAG,MED12,66.47,1447.0,0.39718614700000004,0,AZD_200nM,0.642757257665213 -354,AGGGACATGTGTTAAAGGCTGCTGGGGAAG,MED12,66.47,1447.0,0.39285714299999996,0,PLX_2uM,0.642757257665213 -355,AGTGACATTCCAGTTGGGGTCTTCTGGAAG,CD13,26.99,261.0,0.064835165,0,nodrug,0.21488534517497765 -356,TGTAACATTTATACTATTGTCTGTCGGCCG,CD45,28.67,324.0,0.971119134,1,nodrug,0.6341377210637386 -357,GCAAACCAAAGCAGCTTATGCATGAGGCAC,MED12,70.28,1530.0,0.742424242,0,AZD_200nM,0.6383139085048366 -358,GCAAACCAAAGCAGCTTATGCATGAGGCAC,MED12,70.28,1530.0,0.645021645,0,PLX_2uM,0.6383139085048366 -359,ACTAACCAAGCAACTTCTTAGTGTTGGCCT,NF1,89.26,2534.0,0.277173913,0,PLX_2uM,0.39049762550725775 -360,CGATACCAAGGGCAACAAGATTGCTGGCTT,MED12,76.48,1665.0,0.35714285700000004,0,AZD_200nM,0.40555726826091526 -361,CGATACCAAGGGCAACAAGATTGCTGGCTT,MED12,76.48,1665.0,0.414502165,0,PLX_2uM,0.40555726826091526 -362,GTGAACCAAGTGTTAATGGCACTCTGGGAT,MED12,5.1,111.0,0.5476190479999999,0,AZD_200nM,0.5170486449182069 -363,GTGAACCAAGTGTTAATGGCACTCTGGGAT,MED12,5.1,111.0,0.548701299,0,PLX_2uM,0.5170486449182069 -364,ACGGACCAATGTTAAGGATCTGGTGGGTCT,NF1,32.41,920.0,0.864130435,1,PLX_2uM,0.6716086478751937 -365,AGCTACCACAACGAAGCAAACATGTGGTAA,CD45,3.45,39.0,0.231046931,0,nodrug,0.7171882258150823 -366,TGAAACCACAAGTGCCATTGTTAGAGGAGC,MED12,50.71,1104.0,0.688311688,0,AZD_200nM,0.5039623026761908 -367,TGAAACCACAAGTGCCATTGTTAGAGGAGC,MED12,50.71,1104.0,0.624458874,0,PLX_2uM,0.5039623026761908 -368,CTCTACCACACACACCTGAGGCCCCGGCCC,MED12,79.56,1732.0,0.516233766,0,AZD_200nM,0.5181585620291467 -369,CTCTACCACACACACCTGAGGCCCCGGCCC,MED12,79.56,1732.0,0.518398268,0,PLX_2uM,0.5181585620291467 -370,TGTCACCACAGCTACTGGGTCTCTGGGGCC,CD43,48.86,193.0,0.492753623,0,nodrug,0.46712157277568994 -371,GTTTACCACAGGCGAGGGACTGTAGGGCTC,CUL3,82.29,632.0,0.87012987,1,PLX_2uM,0.5279474357351279 -372,ACTTACCACATGTTTGCTTCGTTGTGGTAG,CD45,3.19,36.0,0.20938628199999998,0,nodrug,0.5754600376293323 -373,AACCACCACCAAGGCAATAAGCATGGGCAC,CD43,64.56,255.0,0.710144928,0,nodrug,0.6448940507886904 -374,TTCCACCACCGCGACCTCGTGAAGGGGCCC,CD15,46.04,244.0,0.736263736,0,nodrug,0.6358113640852395 -375,ACCCACCACCGTGCCGGAGCCCACAGGTAA,CD5,30.97,153.0,0.6276150629999999,0,nodrug,0.6163996220887914 -376,CCCTACCACTGGCCACTGTAACAGTGGACG,NF1,98.94,2809.0,0.118206522,0,PLX_2uM,0.1814834991795189 -377,GGCAACCAGAACAGCTTCAGTGTCAGGGTT,NF1,24.66,700.0,0.33423913,0,PLX_2uM,0.3980617625669606 -378,AGAGACCAGAGCAGGAGTGGTTCATGGGGC,CD33,70.88,258.0,0.463203463,0,nodrug,0.4237995913616226 -379,ATACACCAGAGCGCTCTAGAGAGCTGGAGA,MED12,65.18,1419.0,0.680735931,0,AZD_200nM,0.5743392360737407 -380,ATACACCAGAGCGCTCTAGAGAGCTGGAGA,MED12,65.18,1419.0,0.5844155839999999,0,PLX_2uM,0.5743392360737407 -381,AATGACCAGCAAAGAAGTTAAGGATGGGGC,CD13,33.61,325.0,0.686813187,0,nodrug,0.5676757691348076 -382,GGAAACCAGCATGCAGCTGAACTTCGGAAT,NF1,4.72,134.0,0.658967391,0,PLX_2uM,0.529494869099205 -383,GGACACCAGCTCCTGCAGAGCTGAGGGACC,CD5,45.95,227.0,0.117154812,0,nodrug,0.5566816145181257 -384,CTTCACCAGCTTCTTGTAGACCAGAGGACC,CD5,80.97,400.0,0.820083682,1,nodrug,0.6000693366740667 -385,CCCGACCAGGCGGCTCTGAACCTTGGGCTG,CD5,55.47,274.0,0.5230125520000001,0,nodrug,0.39063495736462134 -386,TGTCACCAGGCTTCCCGATCCACAGGGGCA,CCDC101,45.39,133.0,0.55704698,0,AZD_200nM,0.6129706452433696 -387,AGACACCAGGTCTTTGGGTTCTGCAGGCAG,CD45,84.87,959.0,0.436823105,0,nodrug,0.41517029721182197 -388,GTGTACCAGTACCAGTGTACCACATGGAAA,CD45,84.07,950.0,0.620938628,0,nodrug,0.6280335572781546 -389,AAGAACCAGTCACCTTTCACTTCTTGGCCA,NF2,16.13,96.0,0.053811659000000005,0,PLX_2uM,0.19214783621663215 -390,CAAAACCAGTGCAACAGGTGGCTTGGGATC,NF1,71.22,2022.0,0.23233695699999998,0,PLX_2uM,0.31881124251351306 -391,CACGACCAGTGCCCAAAACAGCTTAGGAGA,CD28,68.81,150.0,0.837837838,1,nodrug,0.5349834829576534 -392,CAGTACCAGTGTACCACATGGAAAGGGGAA,CD45,84.25,952.0,0.584837545,0,nodrug,0.45236729266247777 -393,GAGCACCATGTCGAATCTGAGCAAAGGCAC,CUL3,0.65,5.0,0.12987013,0,PLX_2uM,0.5269383177792875 -394,CTCCACCATTCTATAGGAATAAGATGGTAG,NF1,36.63,1040.0,0.311141304,0,PLX_2uM,0.5282556896784714 -395,CTCCACCCACAGGCTGTGAACAACCGGTCC,CD13,54.5,527.0,0.254945055,0,nodrug,0.43521656152754973 -396,CTAGACCCACCAGATCCTTAACATTGGTCC,NF1,32.3,917.0,0.7785326090000001,0,PLX_2uM,0.6390102850915433 -397,TCCGACCCAGAGAGGAAAGAAACAAGGCAG,CUL3,89.97,691.0,0.74025974,0,PLX_2uM,0.5281654561814806 -398,CAGCACCCAGGTACTCCACGTAGGAGGCGA,CD13,43.02,416.0,0.832967033,1,nodrug,0.6610576087819988 -399,AGAGACCCAGTAGCTGTGGTGACAGGGGGA,CD43,47.34,187.0,0.608695652,0,nodrug,0.5535652871675782 -400,ATCCACCCAGTGACCCCTCCCCTCTGGAGG,CD45,68.05,769.0,0.483754513,0,nodrug,0.4406618778485561 -401,AATCACCCCACGGCCCCAGGACCACGGCAC,CD33,56.32,205.0,0.5173160170000001,0,nodrug,0.5665236980540884 -402,TTCCACCCGCTCACTCTCACTTCGAGGGTC,MED12,26.92,586.0,0.151515152,0,AZD_200nM,0.5012500047942448 -403,TTCCACCCGCTCACTCTCACTTCGAGGGTC,MED12,26.92,586.0,0.145021645,0,PLX_2uM,0.5012500047942448 -404,GCGGACCCTCGAAGTGAGAGTGAGCGGGTG,MED12,27.06,589.0,0.67965368,0,AZD_200nM,0.6106955471510941 -405,GCGGACCCTCGAAGTGAGAGTGAGCGGGTG,MED12,27.06,589.0,0.692640693,0,PLX_2uM,0.6106955471510941 -406,TGTTACCCTCTGGCATGGGCAGGTTGGACG,MED12,18.56,404.0,0.946969697,1,AZD_200nM,0.6279195442197293 -407,TGTTACCCTCTGGCATGGGCAGGTTGGACG,MED12,18.56,404.0,0.9523809520000001,1,PLX_2uM,0.6279195442197293 -408,GAGCACCCTCTTACCTGTGGGCTCCGGCAC,CD5,30.97,153.0,0.30125523,0,nodrug,0.4942743544627995 -409,CATCACCCTGACCTGGCAGTTGAATGGGGA,H2-K,65.04,240.0,0.284023669,0,nodrug,0.4193716689604394 -410,AGTCACCCTGAGGTGCTGGGCCCTGGGCTT,H2-K,61.25,226.0,0.15976331400000002,0,nodrug,0.42849178870131527 -411,GATGACCCTGTCTCTGCTGACTGTTGGAAA,MED12,63.94,1392.0,0.024891775,0,AZD_200nM,0.3671209813445843 -412,GATGACCCTGTCTCTGCTGACTGTTGGAAA,MED12,63.94,1392.0,0.020562771,0,PLX_2uM,0.3671209813445843 -413,GAGCACCGAGGAGTGAGTAGTCCTGGGGCC,CD33,52.47,191.0,0.614718615,0,nodrug,0.5454269938872068 -414,GAACACCGGCCCCTGAAGCGGCCGCGGCTG,MED12,0.78,17.0,0.071428571,0,AZD_200nM,0.40919404595141234 -415,GAACACCGGCCCCTGAAGCGGCCGCGGCTG,MED12,0.78,17.0,0.031385281,0,PLX_2uM,0.40919404595141234 -416,TCTTACCGGTGCCATTCGTATTGCTGGGTG,NF1,16.2,460.0,0.046195652000000004,0,PLX_2uM,0.27534779994290265 -417,TGTGACCGTGGACGTGTTCGGCCGGGGCGG,CD15,73.02,387.0,0.882783883,1,nodrug,0.4943614490378044 -418,GGGCACCGTGGGGCTCGCCGACGGCGGCGG,CD15,25.28,134.0,0.406593407,0,nodrug,0.4986283307544793 -419,TGGGACCTAGCAAGGATGGGCATGAGGTAA,MED12,22.69,494.0,0.793290043,0,AZD_200nM,0.6438603549062363 -420,TGGGACCTAGCAAGGATGGGCATGAGGTAA,MED12,22.69,494.0,0.788961039,0,PLX_2uM,0.6438603549062363 -421,AAATACCTCAGCGAGTGTGGGCCTGGGGGC,H2-K,5.96,22.0,0.059171598,0,nodrug,0.4824440287828346 -422,GCATACCTCAGTGTTTCCTGCAGTGGGATG,NF1,27.16,771.0,0.16576087,0,PLX_2uM,0.5480140898739 -423,GCTTACCTCATGCCCATCCTTGCTAGGTCC,MED12,22.55,491.0,0.755411255,0,AZD_200nM,0.5504078272415819 -424,GCTTACCTCATGCCCATCCTTGCTAGGTCC,MED12,22.55,491.0,0.795454545,0,PLX_2uM,0.5504078272415819 -425,GGCGACCTCCAGCCCCAGGCCCCCGGGCCA,CD15,54.15,287.0,0.487179487,0,nodrug,0.46017664349175363 -426,TGCCACCTCTACATCATGGGGCAAGGGCCC,MED12,10.24,223.0,0.803030303,1,AZD_200nM,0.5764398700233591 -427,TGCCACCTCTACATCATGGGGCAAGGGCCC,MED12,10.24,223.0,0.877705628,1,PLX_2uM,0.5764398700233591 -428,AAGGACCTCTTTGATTTGGTGTGCCGGACT,NF2,8.57,51.0,0.65470852,0,PLX_2uM,0.4782534137113885 -429,AAAAACCTGACCTGCTCTGTGTCCTGGGCC,CD33,45.6,166.0,0.454545455,0,nodrug,0.43337289043681454 -430,CTGTACCTGAGCCTACTGCCTCTCAGGAAG,CD43,26.08,103.0,0.579710145,0,nodrug,0.49668202097048236 -431,CCTCACCTGCTCCTCAAACTTCGACGGAGA,CD45,58.5,661.0,0.16967509,0,nodrug,0.5932952016961683 -432,TGCTACCTGGTATTCAGCCTCCAGAGGGGA,CD45,68.23,771.0,0.7797833940000001,0,nodrug,0.568917324687608 -433,GGGAACCTGGTGACCATAGAGTGGTGGAAT,CD13,41.68,403.0,0.9714285709999999,1,nodrug,0.7040988189344703 -434,GGTGACCTGGTGGTTATGGGATCTTGGGTA,CD43,59.49,235.0,0.18840579699999999,0,nodrug,0.2855362323447146 -435,CCTGACCTGTCAGGTGAAGTTCGCTGGAGC,CD33,59.34,216.0,0.346320346,0,nodrug,0.4342608342522555 -436,AATGACCTGTCCCGGTAACTGGAACGGAAG,NF1,76.79,2180.0,0.645380435,0,PLX_2uM,0.526273852809413 -437,TCTTACCTGTGGGCTCCGGCACGGTGGTGG,CD5,30.36,150.0,0.37656903799999997,0,nodrug,0.5973732154701076 -438,GTTCACCTTAACCATTGCAAACCAGGGCAC,NF1,63.58,1805.0,0.70923913,0,PLX_2uM,0.6874430180105672 -439,TCACACCTTCACCTACACGGGGCTAGGCAA,MED12,47.68,1038.0,0.761904762,0,AZD_200nM,0.5923423637777174 -440,TCACACCTTCACCTACACGGGGCTAGGCAA,MED12,47.68,1038.0,0.651515152,0,PLX_2uM,0.5923423637777174 -441,TACAACCTTCTCGCAAAGGAATTCCGGGCA,CD28,23.85,52.0,0.175675676,0,nodrug,0.31351083999060203 -442,TTGTACCTTTAATTTAAAAATCGAGGGCCA,NF1,66.5,1888.0,0.252717391,0,PLX_2uM,0.4585876410855135 -443,GGTGACGAAATACCTCAGCGAGTGTGGGCC,H2-K,6.78,25.0,0.34911242600000003,0,nodrug,0.5105636564035856 -444,AGCTACGAACACCGGCCCCTGAAGCGGCCG,MED12,0.69,15.0,0.520562771,0,AZD_200nM,0.6362856157676328 -445,AGCTACGAACACCGGCCCCTGAAGCGGCCG,MED12,0.69,15.0,0.42965368,0,PLX_2uM,0.6362856157676328 -446,GACTACGACCCCAGTGTTCACAAGCGGGGA,NF2,26.72,159.0,0.99103139,1,PLX_2uM,0.6961492872194798 -447,GAGTACGAGGCAGCGCGGCATAAACGGGAG,TADA2B,74.76,314.0,0.052631579000000005,0,AZD_200nM,0.32038813938163935 -448,AGCAACGAGGTCAGCCTCAGCTGCAGGTAT,CD28,18.81,41.0,0.567567568,0,nodrug,0.5627434064846929 -449,TCACACGATGTGAAGAAGGAAACAGGGTAA,CD45,51.68,584.0,0.884476534,1,nodrug,0.7177750723489711 -450,CTCTACGCAAAGCACGGCCTGGGGTGGTGT,CD45,91.59,1035.0,0.545126354,0,nodrug,0.5056658268189637 -451,AGGAACGCAAGAAGAAGTCCACCAAGGGCA,MED12,82.09,1787.0,0.635281385,0,AZD_200nM,0.626482828849642 -452,AGGAACGCAAGAAGAAGTCCACCAAGGGCA,MED12,82.09,1787.0,0.7716450220000001,0,PLX_2uM,0.626482828849642 -453,GGCCACGCAGCTTTGTCCGGTAATAGGGAG,CCDC101,18.77,55.0,0.127516779,0,AZD_200nM,0.307841831971238 -454,TTCAACGCCGGCGCCATGGAGAACTGGGGA,CD13,36.81,356.0,0.3,0,nodrug,0.34300969169875 -455,TAGGACGCGCGGTCGGTGAGCAGGCGGCAG,CD15,41.89,222.0,0.908424908,1,nodrug,0.6723832948612684 -456,TGTCACGCGGTTGGGGATGGTGTCGGGGAT,TADA2B,30.24,127.0,0.226315789,0,AZD_200nM,0.29008555301433653 -457,CGGTACGCTGCAAAGTCTCTGGCAGGGGCG,CD28,96.33,210.0,0.621621622,0,nodrug,0.4986931769474364 -458,AAATACGGACCAATGTTAAGGATCTGGTGG,NF1,32.37,919.0,0.6875,0,PLX_2uM,0.5075903633759566 -459,GTACACGGAGACTGGCCCTGCAGCTGGATG,MED12,14.15,308.0,0.20995671,0,AZD_200nM,0.5191266081570962 -460,GTACACGGAGACTGGCCCTGCAGCTGGATG,MED12,14.15,308.0,0.35173160200000003,0,PLX_2uM,0.5191266081570962 -461,GACCACGGCCTGGACCCATTCCACCGGCCT,NF1,0.28,8.0,0.366847826,0,PLX_2uM,0.594446038893725 -462,ACTGACGGCCTTGAATGTAAAACAAGGTTT,MED12,1.93,42.0,0.865800866,1,AZD_200nM,0.6712142502980631 -463,ACTGACGGCCTTGAATGTAAAACAAGGTTT,MED12,1.93,42.0,0.82034632,1,PLX_2uM,0.6712142502980631 -464,GTGGACGGCGGGCGCTTCACGCTCTGGGGG,TADA2B,14.52,61.0,0.626315789,0,AZD_200nM,0.3091922924668343 -465,GCGGACGGGGTGGTGGAGGCCACGGGGGAG,CD13,4.76,46.0,0.585714286,0,nodrug,0.4875423456895451 -466,GGGGACGGTGGGAAGAGCTATGTCGGGAGC,CD5,63.97,316.0,0.7907949790000001,0,nodrug,0.6112476412896809 -467,AAAAACGTACAGGCCCCTGTCATTGGGGGT,CD13,10.03,97.0,0.20439560399999998,0,nodrug,0.3966389341642597 -468,CATTACGTGAGCATGTACATCCACGGGAAC,TADA2B,27.62,116.0,0.9526315790000001,1,AZD_200nM,0.6412142445331532 -469,AAGCACGTGCTCTCAGGCACCCTTGGGATA,THY1,41.98,68.0,0.387096774,0,nodrug,0.5570274192136324 -470,GTCCACGTGGATGAAGGCGCCGCGGGGCAC,CD15,85.66,454.0,0.9963369959999999,1,nodrug,0.6432331853653754 -471,GGAAACGTGGCATGTCTCGGAGGCTGGCAT,NF1,40.05,1137.0,0.567934783,0,PLX_2uM,0.5084971983822911 -472,CGGTACGTGTGCTCGGGTATCCCAAGGGTG,THY1,42.59,69.0,0.419354839,0,nodrug,0.5367764276534638 -473,TTGAACGTTATTATAAACAACACTTGGCAA,CUL3,56.64,435.0,0.5129870129999999,0,PLX_2uM,0.55287724203212 -474,CCTTACGTTCACTGACTGGACCCATGGGTG,NF1,30.57,868.0,0.224184783,0,PLX_2uM,0.5429823237571325 -475,TTCAACGTTCTCCTTGTCGATTCCTGGAGA,NF1,98.41,2794.0,0.010869565,0,PLX_2uM,0.044583354882620864 -476,GGAGACGTTGTCGTAAGCAAAGCCAGGAAA,NF1,58.79,1669.0,0.331521739,0,PLX_2uM,0.6399845946447528 -477,TCTTACTAATAGAGACAATAAAGAGGGTGT,NF1,67.17,1907.0,0.595108696,0,PLX_2uM,0.6206029466860098 -478,AGCTACTACACTATTCTTCAGGTATGGCTG,TADA1,65.07,218.0,0.651376147,0,AZD_200nM,0.5712885770491039 -479,AGTGACTACATGAACATGACTCCCCGGAGG,CD28,88.99,194.0,0.7027027029999999,0,nodrug,0.5737588942318009 -480,GTGAACTACGACGAAGAGAACTGGAGGAAG,CD13,66.08,639.0,0.97032967,1,nodrug,0.7272135241956276 -481,TTTAACTAGAATGACCAGTCAACAGGGGAC,HPRT1,50.92,111.0,0.734375,0,6TG_2ug/mL,0.6290571309487075 -482,AGGCACTAGGACAGCACAGGAGGATGGTCT,MED12,17.0,370.0,0.42965368,0,AZD_200nM,0.6650307885783202 -483,AGGCACTAGGACAGCACAGGAGGATGGTCT,MED12,17.0,370.0,0.436147186,0,PLX_2uM,0.6650307885783202 -484,CCCTACTATGCCCTGTGAGGGGAAGGGCAG,MED12,31.92,695.0,0.637445887,0,AZD_200nM,0.6051069751117087 -485,CCCTACTATGCCCTGTGAGGGGAAGGGCAG,MED12,31.92,695.0,0.571428571,0,PLX_2uM,0.6051069751117087 -486,CAGGACTATGGAATGGGCCCGGGTCGGAGC,MED12,83.0,1807.0,0.331168831,0,AZD_200nM,0.5189940781462598 -487,CAGGACTATGGAATGGGCCCGGGTCGGAGC,MED12,83.0,1807.0,0.378787879,0,PLX_2uM,0.5189940781462598 -488,TTATACTATTGTCTGTCGGCCGGGAGGTTT,CD45,28.41,321.0,0.548736462,0,nodrug,0.631030811438622 -489,AGGCACTCAAACTGCGGCTCAACCTGGTGA,MED12,70.65,1538.0,0.738095238,0,AZD_200nM,0.5951705145347408 -490,AGGCACTCAAACTGCGGCTCAACCTGGTGA,MED12,70.65,1538.0,0.670995671,0,PLX_2uM,0.5951705145347408 -491,TGCCACTCACACAGGACTATGGAATGGGCC,MED12,82.82,1803.0,0.61038961,0,AZD_200nM,0.5393413168072981 -492,TGCCACTCACACAGGACTATGGAATGGGCC,MED12,82.82,1803.0,0.587662338,0,PLX_2uM,0.5393413168072981 -493,AGAGACTCACCCAGCGTTCCCAGCAGGTAT,CD5,2.83,14.0,0.615062762,0,nodrug,0.5866371251678562 -494,TGGCACTCACCTGCAGGTAGTGGCTGGTTC,MED12,84.84,1847.0,0.62012987,0,AZD_200nM,0.4535225551843571 -495,TGGCACTCACCTGCAGGTAGTGGCTGGTTC,MED12,84.84,1847.0,0.822510823,1,PLX_2uM,0.4535225551843571 -496,AGCCACTCACGCAACTAGCCAAAAAGGTAA,MED12,6.02,131.0,0.215367965,0,AZD_200nM,0.3875667635692026 -497,AGCCACTCACGCAACTAGCCAAAAAGGTAA,MED12,6.02,131.0,0.305194805,0,PLX_2uM,0.3875667635692026 -498,TGGAACTCAGTGACATTCCAGTTGGGGTCT,CD13,27.2,263.0,0.817582418,1,nodrug,0.6527396528865389 -499,CTGCACTCAGTGACTTGCAATAGCCGGTCA,MED12,49.79,1084.0,0.837662338,1,AZD_200nM,0.629255500426035 -500,CTGCACTCAGTGACTTGCAATAGCCGGTCA,MED12,49.79,1084.0,0.774891775,0,PLX_2uM,0.629255500426035 -501,AGCCACTCCACGCACGTGCCCTCCAGGTAG,H2-K,49.32,182.0,0.514792899,0,nodrug,0.5322902044424271 -502,AAGAACTCCCCAGTTCATGGTTACTGGTTC,CD33,16.21,59.0,0.6038961039999999,0,nodrug,0.3222077334266438 -503,GAGAACTCCCTATAGCGATGGCTCTGGCCA,NF1,43.18,1226.0,0.7486413040000001,0,PLX_2uM,0.5982898998362283 -504,CTATACTCCTTATGTTTCTCATGTGGGATT,MED12,89.57,1950.0,0.345238095,0,AZD_200nM,0.38598251197448163 -505,CTATACTCCTTATGTTTCTCATGTGGGATT,MED12,89.57,1950.0,0.46428571399999996,0,PLX_2uM,0.38598251197448163 -506,TCAAACTCCTTGCATGACATGAACTGGTAC,TADA2B,63.1,265.0,0.010526316,0,AZD_200nM,0.47479408414289886 -507,TCGAACTCGCTGTCCATCTCATACTGGCTG,CD13,18.2,176.0,0.356043956,0,nodrug,0.532449904169311 -508,TTGAACTCGGCATTCGAGCGAAACTGGGGC,CD28,36.24,79.0,0.135135135,0,nodrug,0.27509777010011216 -509,TAAGACTCTTGCCTAGCCCCGTGTAGGTGA,MED12,47.63,1037.0,0.811688312,1,AZD_200nM,0.6873314711282803 -510,TAAGACTCTTGCCTAGCCCCGTGTAGGTGA,MED12,47.63,1037.0,0.8311688309999999,1,PLX_2uM,0.6873314711282803 -511,AGACACTGAAACTTTACGTAAATGTGGGTG,NF1,91.33,2593.0,0.29076087,0,PLX_2uM,0.3490902392183468 -512,ACCAACTGAGCCAACATGTGACCGTGGACG,CD15,72.08,382.0,0.963369963,1,nodrug,0.7220038703906978 -513,TCAGACTGAGTCTCAAAACTTGCTTGGTCT,NF1,75.63,2147.0,0.059782609,0,PLX_2uM,0.4664253277823545 -514,ACTGACTGATAGCAGAATTAAGACCGGCTC,MED12,17.87,389.0,0.71969697,0,AZD_200nM,0.6644273913244809 -515,ACTGACTGATAGCAGAATTAAGACCGGCTC,MED12,17.87,389.0,0.676406926,0,PLX_2uM,0.6644273913244809 -516,TCCTACTGCACCGATGCTGTTCTGAGGGAA,NF1,49.31,1400.0,0.820652174,1,PLX_2uM,0.6394450119114709 -517,CCACACTGCAGAGACTTACAGATGAGGTTC,CD5,40.49,200.0,0.815899582,1,nodrug,0.6932374193369631 -518,TCCCACTGCCCTTATCAGGTCTCCCGGAAT,MED12,39.0,849.0,0.846320346,1,AZD_200nM,0.5655624094705088 -519,TCCCACTGCCCTTATCAGGTCTCCCGGAAT,MED12,39.0,849.0,0.883116883,1,PLX_2uM,0.5655624094705088 -520,ATCGACTGCTGGACAATGAGGATGGGGAAA,MED12,61.32,1335.0,0.507575758,0,AZD_200nM,0.5968651057496605 -521,ATCGACTGCTGGACAATGAGGATGGGGAAA,MED12,61.32,1335.0,0.534632035,0,PLX_2uM,0.5968651057496605 -522,AGATACTGCTGTAGCTTTGGCTTCTGGAAA,NF1,71.82,2039.0,0.13451087,0,PLX_2uM,0.21554420739074653 -523,ATACACTGGAAAAATGTCTTGCTGGGGTAA,NF1,3.35,95.0,0.801630435,1,PLX_2uM,0.6755188750389846 -524,CCACACTGGAACTCTCCACAGAACTGGTTG,CD43,53.42,211.0,0.442028986,0,nodrug,0.5037433107383693 -525,AGGTACTGGATCATGATGTTTCAAAGGAAG,NF2,14.62,87.0,0.955156951,1,PLX_2uM,0.6243285618769422 -526,CATGACTGGCTTCCTTTGTGCCCTTGGGGG,NF1,29.8,846.0,0.03125,0,PLX_2uM,0.269618915215415 -527,AGCCACTGGGACGAGCGCCAGGCCCGGGTC,CD15,69.62,369.0,0.509157509,0,nodrug,0.4062038063482209 -528,AGATACTGGGCTAACCTAAAGCTGTGGTTC,TADA1,9.55,32.0,0.917431193,1,AZD_200nM,0.7178624595786972 -529,GAGAACTGGGGACTGGTGACCTACCGGGAG,CD13,37.44,362.0,0.43956044,0,nodrug,0.5162090170698281 -530,TTCCACTGGGGCAGCGGGATGACACGGCGC,CCDC101,71.67,210.0,0.7449664429999999,0,AZD_200nM,0.5420960625168542 -531,TCGCACTGTCAGTGGTGTACTCCCAGGAGA,CD13,3.52,34.0,0.843956044,1,nodrug,0.6655728196170334 -532,CGCCACTGTCCAGGAAACAGGGGCTGGTGG,CD15,66.98,355.0,0.868131868,1,nodrug,0.5530637049808119 -533,GCAGACTGTTCCTGGCTGAATTTCAGGTAT,CD45,42.74,483.0,0.180505415,0,nodrug,0.19718415990241206 -534,ACTTACTGTTCTGGTTCACTCCTGTGGGGC,CD5,85.22,421.0,0.21757322199999998,0,nodrug,0.4151420909903758 -535,TCTGACTGTTCTTGCAACAATAGCAGGTGA,NF1,84.71,2405.0,0.18614130399999998,0,PLX_2uM,0.4857107762715668 -536,TCTTACTGTTTCACGTTGTCCCCCAGGGCC,TADA1,5.97,20.0,0.80733945,1,AZD_200nM,0.5021972528993512 -537,AGAGACTTACAGATGAGGTTCCCCAGGCCC,CD5,39.88,197.0,0.878661088,1,nodrug,0.6181836871047122 -538,CAGCACTTACAGGTGACGTTGAGCTGGATG,CD33,62.91,229.0,0.543290043,0,nodrug,0.5428164640497144 -539,AAGTACTTACTGATCCGAAGATCCAGGCGC,NF1,92.11,2615.0,0.41576087,0,PLX_2uM,0.3395889314050448 -540,TGGAACTTACTTTAATAGAAACTTTGGTGT,NF1,61.75,1753.0,0.403532609,0,PLX_2uM,0.43849654819490685 -541,AGATACTTATAGCTTCTTGTCTCCAGGTCT,NF1,17.08,485.0,0.974184783,1,PLX_2uM,0.5347766406692409 -542,AAGGACTTATTGAGAGAGAATATTTGGCAC,CUL3,98.05,753.0,0.16883116899999998,0,PLX_2uM,0.10721962480396696 -543,GGGTACTTCATACTTTGGAAGTGCTGGACA,MED12,21.22,462.0,0.467532468,0,AZD_200nM,0.5026878103235484 -544,GGGTACTTCATACTTTGGAAGTGCTGGACA,MED12,21.22,462.0,0.607142857,0,PLX_2uM,0.5026878103235484 -545,CTGAACTTCGGAATTCTGCCTCTGGGGTTT,NF1,4.9,139.0,0.9103260870000001,1,PLX_2uM,0.6165433109163212 -546,CAGAACTTGACTGTTGTAAGTGTCAGGTCC,NF1,80.45,2284.0,0.39130434799999997,0,PLX_2uM,0.4543491976925942 -547,GTATACTTGCACTCTCATCTCCCGAGGGGA,MED12,28.48,620.0,0.9329004329999999,1,AZD_200nM,0.6662841907846236 -548,GTATACTTGCACTCTCATCTCCCGAGGGGA,MED12,28.48,620.0,0.891774892,1,PLX_2uM,0.6662841907846236 -549,AGGTACTTGGAGCTGTGATATGTGGGGTAG,CD43,8.35,33.0,0.7826086959999999,0,nodrug,0.7600831415682819 -550,TAACACTTGGTTCACTGACTTGGCTGGCAC,MED12,5.51,120.0,0.472943723,0,AZD_200nM,0.5239116912231668 -551,TAACACTTGGTTCACTGACTTGGCTGGCAC,MED12,5.51,120.0,0.457792208,0,PLX_2uM,0.5239116912231668 -552,CTGCACTTTCCAAGAGATTGAACAAGGCAC,CD45,89.2,1008.0,0.924187726,1,nodrug,0.5598786854855194 -553,TCAAACTTTGAACTGGTAAGGTTAAGGCTG,NF1,55.05,1563.0,0.555706522,0,PLX_2uM,0.48104094452287605 -554,GTGCAGAAAAGCTATTTGACTTGGTGGATG,NF1,8.88,252.0,0.7160326090000001,0,PLX_2uM,0.5569975719570149 -555,TCACAGAAAGCGGCTGGATCTCCAGGGACG,TADA2B,99.05,416.0,0.23157894699999998,0,AZD_200nM,0.31212272490395204 -556,GAGCAGAAAGGGAGCCAGAGGCGATGGAAC,MED12,25.45,554.0,0.443722944,0,AZD_200nM,0.5073876822779798 -557,GAGCAGAAAGGGAGCCAGAGGCGATGGAAC,MED12,25.45,554.0,0.529220779,0,PLX_2uM,0.5073876822779798 -558,ACTAAGAAAGTAACAACGTGGAAGAGGTAG,NF1,74.11,2104.0,0.97826087,1,PLX_2uM,0.5479022976996916 -559,CATGAGAAAGTGGGACTTCAAATACGGACC,NF1,32.16,913.0,0.3125,0,PLX_2uM,0.5559766445901502 -560,CCTCAGAAATCACCAGTGCTTCGTTGGCCA,NF2,62.52,372.0,0.596412556,0,PLX_2uM,0.5482999117924319 -561,AACCAGAAATGATGATTGCTGCTCAGGGGC,CD45,76.19,861.0,0.314079422,0,nodrug,0.3805168695360439 -562,GCACAGAAATTCTCAAGTGGTTGCGGGAAA,NF1,21.13,600.0,0.339673913,0,PLX_2uM,0.4293981999696106 -563,AGAGAGAAATTGACATTCACCTGGTGGTAC,CD45,10.0,113.0,0.592057762,0,nodrug,0.7084276289224746 -564,AGCCAGAAATTTGGATCCATAGCCAGGGCC,CD33,4.4,16.0,0.015151515,0,nodrug,0.3997502560613228 -565,CTGTAGAACAAGTGCGCAGAATACTGGCCA,CD45,52.3,591.0,0.422382671,0,nodrug,0.47597134676058594 -566,TAAGAGAACACTTTACCTGTCCTTGGGAGT,NF1,33.43,949.0,0.638586957,0,PLX_2uM,0.540986793950432 -567,GGTTAGAACCATCAGAGAGCCTTGAGGAAA,NF1,46.92,1332.0,0.894021739,1,PLX_2uM,0.7632527678880929 -568,AAGAAGAACTTAAGCGAGGCCCTGGGGGAC,TADA1,5.67,19.0,0.935779817,1,AZD_200nM,0.6390994153187355 -569,GAACAGAAGAACTTCCAGAGGAGGAGGGAG,MED12,57.51,1252.0,0.514069264,0,AZD_200nM,0.5202848543102698 -570,GAACAGAAGAACTTCCAGAGGAGGAGGGAG,MED12,57.51,1252.0,0.53030303,0,PLX_2uM,0.5202848543102698 -571,TTACAGAAGATGGCTGAATACTACCGGCCA,MED12,9.42,205.0,0.577922078,0,AZD_200nM,0.6258895562285625 -572,TTACAGAAGATGGCTGAATACTACCGGCCA,MED12,9.42,205.0,0.595238095,0,PLX_2uM,0.6258895562285625 -573,AAGGAGAAGATTGAAGGGACCCTTGGGGTT,MED12,33.16,722.0,0.622294372,0,AZD_200nM,0.4205442444525362 -574,AAGGAGAAGATTGAAGGGACCCTTGGGGTT,MED12,33.16,722.0,0.575757576,0,PLX_2uM,0.4205442444525362 -575,AGTAAGAAGCAGCGCCTGGATCTTCGGATC,NF1,92.11,2615.0,0.585597826,0,PLX_2uM,0.27288647979536856 -576,TACAAGAAGCTGGTGAAGAAATGTAGGTAC,CD5,82.59,408.0,0.765690377,0,nodrug,0.5409172532261283 -577,TCACAGAAGCTTTGTTGGAGATCATGGAGG,NF1,77.91,2212.0,0.130434783,0,PLX_2uM,0.32633176353159404 -578,GATAAGAAGGGCTGCTGGCTCAATAGGGAC,MED12,67.8,1476.0,0.042207792,0,AZD_200nM,0.2672868315560423 -579,GATAAGAAGGGCTGCTGGCTCAATAGGGAC,MED12,67.8,1476.0,0.09199134199999999,0,PLX_2uM,0.2672868315560423 -580,ATCAAGAAGTACAGGAGGAGACTCAGGGCA,CD33,23.63,86.0,0.612554113,0,nodrug,0.5075116463111974 -581,GCGCAGAATACTGGCCAAGCATGGAGGAAG,CD45,52.65,595.0,0.9061371840000001,1,nodrug,0.7216399259556077 -582,GCCAAGAATCAAGTGGCATGTTACTGGTGC,CD43,63.29,250.0,0.268115942,0,nodrug,0.41908403249560033 -583,GCGGAGAATCCGAGATATGAGCCGCGGGCG,H2-K,18.43,68.0,0.875739645,1,nodrug,0.6794619713927196 -584,GTGCAGAATGGCTAGGAGTGCTTAAGGCCT,MED12,50.34,1096.0,0.9058441559999999,1,AZD_200nM,0.6187933707621068 -585,GTGCAGAATGGCTAGGAGTGCTTAAGGCCT,MED12,50.34,1096.0,0.94047619,1,PLX_2uM,0.6187933707621068 -586,AAGAAGACAATTCAGTAGTTTCCAAGGGGG,CD43,19.75,78.0,0.826086957,1,nodrug,0.6079657354895138 -587,GGGGAGACACTCACGGGTTATTATTGGGGT,CD13,81.18,785.0,0.032967033,0,nodrug,0.2046957297007308 -588,GATGAGACAGTTGATGACTTCTGGAGGATG,CD45,49.82,563.0,0.989169675,1,nodrug,0.7242266381943905 -589,GAAGAGACATGTTGACCCTTTCATGGGTGA,MED12,8.41,183.0,0.851731602,1,AZD_200nM,0.5879332047386917 -590,GAAGAGACATGTTGACCCTTTCATGGGTGA,MED12,8.41,183.0,0.853896104,1,PLX_2uM,0.5879332047386917 -591,GCCAAGACCCAAACCCAGCGGGCCTGGCCC,CD5,75.51,373.0,0.062761506,0,nodrug,0.321362066574392 -592,CGATAGACCGCGGGGTTGCGGTCGAGGAAA,CD15,89.81,476.0,0.054945055,0,nodrug,0.3636035349198148 -593,ACGAAGACCTGAAAACGTGGACGGCGGCGG,H2-K,42.01,155.0,0.355029586,0,nodrug,0.7052477673489355 -594,CCAAAGACCTGGTGTCTATGATTCAGGACC,CD45,85.58,967.0,0.19133574,0,nodrug,0.3177153612039501 -595,TCAAAGACCTGTGCCATCTGGTCCTGGTTG,MED12,43.27,942.0,0.522727273,0,AZD_200nM,0.5122899741942928 -596,TCAAAGACCTGTGCCATCTGGTCCTGGTTG,MED12,43.27,942.0,0.487012987,0,PLX_2uM,0.5122899741942928 -597,ACACAGACGGTCCATGGCAGCCCCCGGCCT,CD15,27.92,148.0,0.435897436,0,nodrug,0.5967951224991908 -598,CAGTAGACGGTGGACCGCAGGTTGGGGTGG,CD13,81.8,791.0,0.44285714299999995,0,nodrug,0.4475330398007965 -599,AGAGAGACTCAGGGCCTACCTGGAGGGCAC,H2-K,49.05,181.0,0.704142012,0,nodrug,0.6737584651196868 -600,ACGGAGACTGGCCCTGCAGCTGGATGGTGT,MED12,14.19,309.0,0.882034632,1,AZD_200nM,0.6537347122620026 -601,ACGGAGACTGGCCCTGCAGCTGGATGGTGT,MED12,14.19,309.0,0.937229437,1,PLX_2uM,0.6537347122620026 -602,TGCCAGACTTCAACGCCGGCGCCATGGAGA,CD13,36.5,353.0,0.605494505,0,nodrug,0.5546737522073658 -603,TCATAGACTTCTCACACAGGATAATGGTAA,TADA1,16.12,54.0,0.7064220179999999,0,AZD_200nM,0.441472754497852 -604,ATGCAGACTTTGCTTTCCTTGGTCAGGCAG,HPRT1,68.81,150.0,0.53125,0,6TG_2ug/mL,0.39334432813846154 -605,GAGGAGAGACTCACCGGAAAGGCCCGGATC,CUL3,2.6,20.0,0.636363636,0,PLX_2uM,0.5109215355494083 -606,TTGAAGAGAGACAGTACATGCCCTGGGAGG,CD13,71.77,694.0,0.946153846,1,nodrug,0.6358253705390626 -607,AAGCAGAGAGACTCAGGGCCTACCTGGAGG,H2-K,48.78,180.0,0.828402367,1,nodrug,0.5418126833223745 -608,TGACAGAGATGGATCCCAGCAGACAGGGTT,CD45,88.5,1000.0,0.7364620940000001,0,nodrug,0.5121376028246657 -609,TGCCAGAGATTGCTCAGGAAGCAATGGAGG,NF1,19.2,545.0,0.888586957,1,PLX_2uM,0.607293863055369 -610,GTTAAGAGCATAGACAGTATGTGTAGGGAT,TADA1,87.76,294.0,0.816513761,1,AZD_200nM,0.5573816031753548 -611,TTAAAGAGCATTAATATGGTCATCTGGAAA,CUL3,77.99,599.0,0.5324675320000001,0,PLX_2uM,0.4584024943315294 -612,TCAGAGAGCCTTGAGGAAAACCAGCGGAAC,NF1,47.06,1336.0,0.961956522,1,PLX_2uM,0.7599819042010141 -613,CTCTAGAGCGCTCTGGTGTATGGCTGGTGG,MED12,65.5,1426.0,0.7326839829999999,0,AZD_200nM,0.577943960681523 -614,CTCTAGAGCGCTCTGGTGTATGGCTGGTGG,MED12,65.5,1426.0,0.70021645,0,PLX_2uM,0.577943960681523 -615,AACAAGAGCTCTTGGTTGCAGGGATGGATT,NF1,79.04,2244.0,0.36005434799999997,0,PLX_2uM,0.42038724117427095 -616,CTAGAGAGCTGTTGTTGAAGTTGCCGGACC,MED12,99.08,2157.0,0.082251082,0,AZD_200nM,0.10711250771862857 -617,CTAGAGAGCTGTTGTTGAAGTTGCCGGACC,MED12,99.08,2157.0,0.14177489199999999,0,PLX_2uM,0.10711250771862857 -618,CGTTAGAGCTTGTTGTCACAGTGGTGGGGG,CD43,40.76,161.0,0.347826087,0,nodrug,0.5861035518371583 -619,TCATAGAGGAACTGGTATTGCTCCTGGTGA,CD45,92.12,1041.0,0.707581227,0,nodrug,0.4563142106601447 -620,CCCAAGAGGAATTGCTTCCAAAAAGGGTAA,NF2,28.74,171.0,0.215246637,0,PLX_2uM,0.5084282240785446 -621,CGCCAGAGGCAAAAGCGGAGGACTGGGGCC,CD43,70.63,279.0,0.7463768120000001,0,nodrug,0.4525486218163258 -622,CCAAAGAGGCAGATCAGCTGAAGCAGGACC,NF2,76.47,455.0,0.376681614,0,PLX_2uM,0.48854592836023575 -623,GTGTAGAGGCCACGCAGCTTTGTCCGGTAA,CCDC101,19.45,57.0,0.637583893,0,AZD_200nM,0.581105964850032 -624,AGGGAGAGGGAGGCCGGGGACCAGGGGCTC,MED12,28.94,630.0,0.27380952399999997,0,AZD_200nM,0.45027209642169647 -625,AGGGAGAGGGAGGCCGGGGACCAGGGGCTC,MED12,28.94,630.0,0.345238095,0,PLX_2uM,0.45027209642169647 -626,CTCCAGAGGGGAGGGGTCACTGGGTGGATC,CD45,67.7,765.0,0.296028881,0,nodrug,0.49431239502688074 -627,ATGTAGAGGTGGCAATCCGGCAGTGGGATT,MED12,10.66,232.0,0.726190476,0,AZD_200nM,0.6853606644910734 -628,ATGTAGAGGTGGCAATCCGGCAGTGGGATT,MED12,10.66,232.0,0.664502165,0,PLX_2uM,0.6853606644910734 -629,CTCTAGAGTGTCGATCATGAACTCAGGTGC,MED12,46.9,1021.0,0.647186147,0,AZD_200nM,0.6366789952378156 -630,CTCTAGAGTGTCGATCATGAACTCAGGTGC,MED12,46.9,1021.0,0.643939394,0,PLX_2uM,0.6366789952378156 -631,TGACAGAGTTAGTGAATGGAGACCAGGTTT,CD45,79.12,894.0,0.6895306859999999,0,nodrug,0.5826642480517696 -632,GAGCAGAGTTTCCGAGTGGACCTGAGGACC,H2-K,26.83,99.0,0.710059172,0,nodrug,0.6538654459402696 -633,CATGAGATAGAAGCTGCTATAGTGCGGATA,CUL3,92.19,708.0,0.7857142859999999,0,PLX_2uM,0.5571031781677506 -634,ACTCAGATCATCACCAAGTACTTATGGGAG,MED12,8.91,194.0,0.235930736,0,AZD_200nM,0.2916166779707911 -635,ACTCAGATCATCACCAAGTACTTATGGGAG,MED12,8.91,194.0,0.24783549800000002,0,PLX_2uM,0.2916166779707911 -636,GTGGAGATCCAGATGGAAAACAAGTGGAAA,CD5,10.93,54.0,0.807531381,1,nodrug,0.7080825955059099 -637,CTGGAGATCCAGCCGCTTTCTGTGAGGAAA,TADA2B,97.62,410.0,0.931578947,1,AZD_200nM,0.488715681354712 -638,AAAAAGATCGTACATGTTCACCGGAGGCAA,TADA1,82.09,275.0,0.7247706420000001,0,AZD_200nM,0.6515511821935571 -639,CCAGAGATCTGTACCTGGTGCACCTGGCTG,MED12,69.22,1507.0,0.18939393899999998,0,AZD_200nM,0.4755693161538872 -640,CCAGAGATCTGTACCTGGTGCACCTGGCTG,MED12,69.22,1507.0,0.221861472,0,PLX_2uM,0.4755693161538872 -641,TTACAGATGAGGTTCCCCAGGCCCAGGGGC,CD5,39.47,195.0,0.372384937,0,nodrug,0.4759634863696512 -642,TTACAGATGATGAAAAGCAGCTGATGGATG,CD45,40.09,453.0,0.42599278,0,nodrug,0.6017902460490654 -643,ACACAGATGCAGGCTGCAGATGCCCGGAAG,CD13,22.44,217.0,0.315384615,0,nodrug,0.5367359624115754 -644,GCAAAGATGCAGGTAGAGTGTCTCCGGAGC,TADA1,79.4,266.0,0.201834862,0,AZD_200nM,0.4951334895656387 -645,TATGAGATGGACAGCGAGTTCGAGGGGGAG,CD13,18.92,183.0,0.453846154,0,nodrug,0.6055492511911513 -646,GACCAGATGGCACAGGTCTTTGAGGGGTAA,MED12,43.59,949.0,0.993506494,1,AZD_200nM,0.7437718960647818 -647,GACCAGATGGCACAGGTCTTTGAGGGGTAA,MED12,43.59,949.0,0.9859307359999999,1,PLX_2uM,0.7437718960647818 -648,CTGAAGATGGCTGAGGAGTCAGAGAGGAGG,NF2,74.79,445.0,0.48878923799999996,0,PLX_2uM,0.6297343090177756 -649,ACAGAGATGTCCAGCGGGGGCAGCGGGGTG,TADA2B,35.95,151.0,0.32631578899999997,0,AZD_200nM,0.33956074695176247 -650,GGTAAGATGTTTGGTATTGTGGTGGGGATT,NF1,94.96,2696.0,0.18070652199999998,0,PLX_2uM,0.3833065165329386 -651,CAGAAGATTATAGGCAGCTGACCTAGGAGA,NF1,65.9,1871.0,0.732336957,0,PLX_2uM,0.603987247276124 -652,CCACAGATTCTCCAGCTATGTATCGGGAAC,NF2,50.59,301.0,0.869955157,1,PLX_2uM,0.5883621446032402 -653,TCAGAGATTTGGACCAGGCAAGCATGGAAG,NF1,37.76,1072.0,0.559782609,0,PLX_2uM,0.5455354124997214 -654,CCGCAGCAAAACCTGGAAAACCCAAGGGAA,TADA1,28.66,96.0,0.642201835,0,AZD_200nM,0.5485001201893008 -655,TCAAAGCAAAAGTCTCTCTCTCATAGGAGC,NF1,77.25,2193.0,0.524456522,0,PLX_2uM,0.4251612073731052 -656,ACTTAGCAAAGATATCTTCAGCAGTGGGGA,MED12,37.94,826.0,0.279220779,0,AZD_200nM,0.5430561196750195 -657,ACTTAGCAAAGATATCTTCAGCAGTGGGGA,MED12,37.94,826.0,0.316017316,0,PLX_2uM,0.5430561196750195 -658,GGCCAGCAAGTACGTGGACATCTTGGGCGT,CD13,28.44,275.0,0.364835165,0,nodrug,0.4767249672991095 -659,GTAAAGCAAGTACTTACATCAATTGGGAAG,NF1,11.8,335.0,0.40625,0,PLX_2uM,0.49452313359134714 -660,GTGGAGCACACCCAGCAATACGAATGGCAC,NF1,16.24,461.0,0.46875,0,PLX_2uM,0.7117249235057395 -661,TACCAGCACATAGTGAAATGTAGAAGGTGA,NF1,14.27,405.0,0.957880435,1,PLX_2uM,0.5420625153355191 -662,AGTCAGCACCCAGGTACTCCACGTAGGAGG,CD13,43.12,417.0,0.9043956040000001,1,nodrug,0.7967689979848542 -663,CAGCAGCACGCCCACCGGTCGCGACGGGGT,CD15,35.28,187.0,0.47619047600000003,0,nodrug,0.4994467617903585 -664,GAGCAGCACTTCAGAAAAGAGTGATGGCAC,NF1,26.73,759.0,0.869565217,1,PLX_2uM,0.6537107199730807 -665,GAGTAGCAGAAACTGATTATGAAATGGGTG,NF1,90.81,2578.0,0.08423913,0,PLX_2uM,0.20633353714664368 -666,AGGAAGCAGATATCCGGTGTGGGGTGGATG,NF1,25.43,722.0,0.654891304,0,PLX_2uM,0.626972957126174 -667,GTTCAGCAGATGAAAGCCCAGGCCAGGGAG,NF2,54.62,325.0,0.941704036,1,PLX_2uM,0.45367597850959523 -668,CCAGAGCAGATGACGGTGAGCGCCTGGCCG,CD5,53.04,262.0,0.259414226,0,nodrug,0.43442479392210026 -669,CAGCAGCAGCAGCAGCAGATCCTGCGGGTA,MED12,95.91,2088.0,0.046536797000000005,0,AZD_200nM,0.18153102766874865 -670,CAGCAGCAGCAGCAGCAGATCCTGCGGGTA,MED12,95.91,2088.0,0.064935065,0,PLX_2uM,0.18153102766874865 -671,CAGCAGCAGCAGCAGTACCACATCCGGCAG,MED12,95.5,2079.0,0.06385281400000001,0,AZD_200nM,0.1378754766394972 -672,CAGCAGCAGCAGCAGTACCACATCCGGCAG,MED12,95.5,2079.0,0.103896104,0,PLX_2uM,0.1378754766394972 -673,ATGGAGCAGGAGGGGCCCGAGTATTGGGAG,H2-K,21.68,80.0,0.7928994079999999,0,nodrug,0.3812112778929845 -674,TAGAAGCAGGTAGTCTGGGGATACAGGGCC,CCDC101,81.23,238.0,0.7852348990000001,0,AZD_200nM,0.3614381939374029 -675,GAATAGCAGTAACTCTTTGTCGTTTGGCAT,NF1,69.32,1968.0,0.286684783,0,PLX_2uM,0.35730499250202086 -676,ATCGAGCAGTTCGGCTTCGGAAACTGGGTG,TADA2B,21.19,89.0,0.27894736800000003,0,AZD_200nM,0.23750003122546642 -677,TGTAAGCATACCTGGTATAAACAGTGGCAC,NF1,48.15,1367.0,0.695652174,0,PLX_2uM,0.7639251761141083 -678,CACCAGCATTAAGGAGTGAAGGGATGGCAG,MED12,52.96,1153.0,0.992424242,1,AZD_200nM,0.6784987704254429 -679,CACCAGCATTAAGGAGTGAAGGGATGGCAG,MED12,52.96,1153.0,0.965367965,1,PLX_2uM,0.6784987704254429 -680,CTTCAGCATTCTCAGGATAAAATTTGGCCA,NF2,16.81,100.0,0.01793722,0,PLX_2uM,0.26827704382432865 -681,CAAAAGCCAAAATGGAAGATGGCCAGGTAA,NF1,28.25,802.0,0.885869565,1,PLX_2uM,0.5153465768645958 -682,GCTCAGCCACAGAGATGTCCAGCGGGGGCA,TADA2B,36.67,154.0,0.957894737,1,AZD_200nM,0.7173923497754522 -683,GCACAGCCACAGCTACCCAAAAGAGGGCTT,NF1,81.58,2316.0,0.574728261,0,PLX_2uM,0.5799734092664787 -684,CCTCAGCCACCACCAACCCCGCCTCGGCCA,CD13,6.2,60.0,0.096703297,0,nodrug,0.5568994027686827 -685,AAAAAGCCACCACCTAGAATCGAAAGGGGC,NF1,50.58,1436.0,0.923913043,1,PLX_2uM,0.6294067360446168 -686,GGGCAGCCACCTTGTCTCCAGGTCTGGCCA,CCDC101,53.92,158.0,0.42281879200000005,0,AZD_200nM,0.3811501626207228 -687,ACATAGCCACTGGGCCGCTGTTGCAGGTGG,MED12,91.5,1992.0,0.12770562800000002,0,AZD_200nM,0.1383935072814286 -688,ACATAGCCACTGGGCCGCTGTTGCAGGTGG,MED12,91.5,1992.0,0.012987013,0,PLX_2uM,0.1383935072814286 -689,AGGCAGCCAGCAGGTGGCGGTCGCAGGAGG,MED12,55.31,1204.0,0.26082251100000003,0,AZD_200nM,0.45679845111548545 -690,AGGCAGCCAGCAGGTGGCGGTCGCAGGAGG,MED12,55.31,1204.0,0.226190476,0,PLX_2uM,0.45679845111548545 -691,CCCGAGCCAGGAAATCCATGAGCCTGGACA,NF1,88.87,2523.0,0.39945652200000004,0,PLX_2uM,0.37675704492276113 -692,AATGAGCCAGGCAGCCCGCATCACAGGCAC,MED12,7.07,154.0,0.9686147190000001,1,AZD_200nM,0.5640578318188273 -693,AATGAGCCAGGCAGCCCGCATCACAGGCAC,MED12,7.07,154.0,0.99025974,1,PLX_2uM,0.5640578318188273 -694,CTGCAGCCAGGGGCCGGGGACGGTGGGAAG,CD5,62.96,311.0,0.79916318,0,nodrug,0.5088160732603096 -695,CGAAAGCCAGGTAGAACTTGTAGCGGGCCA,CD15,76.79,407.0,0.333333333,0,nodrug,0.562596855256616 -696,CTGTAGCCATTTAAAGAACAAATTTGGGGA,MED12,45.38,988.0,0.021645022000000003,0,AZD_200nM,0.17469666125821603 -697,CTGTAGCCATTTAAAGAACAAATTTGGGGA,MED12,45.38,988.0,0.037878788,0,PLX_2uM,0.17469666125821603 -698,GACAAGCCCAGACCAAACTAGAAGTGGCCC,NF1,24.23,688.0,0.46195652200000004,0,PLX_2uM,0.6181083997303642 -699,CAGGAGCCCAGCAATTTGTGGCAAAGGATC,TADA1,37.91,127.0,0.24770642199999998,0,AZD_200nM,0.48805543781163263 -700,TGAAAGCCCAGGCCAGGGAGGAGAAGGCTA,NF2,55.13,328.0,0.367713004,0,PLX_2uM,0.5219837321738531 -701,TAGAAGCCCAGGGCCCAGCACCTCAGGGTG,H2-K,60.43,223.0,0.218934911,0,nodrug,0.35028472010845885 -702,GGGAAGCCCATCTGCAGGGTCCAGCGGTTC,CD13,56.15,543.0,0.906593407,1,nodrug,0.5943680071072928 -703,TTATAGCCCCCCTTGAGCACACAGAGGGCT,HPRT1,30.28,66.0,0.828125,1,6TG_2ug/mL,0.7433749142037764 -704,GAGCAGCCCCCGGTTTGTCAGTTTTGGGGG,MED12,81.26,1769.0,0.04978355,0,AZD_200nM,0.12916911358049246 -705,GAGCAGCCCCCGGTTTGTCAGTTTTGGGGG,MED12,81.26,1769.0,0.095238095,0,PLX_2uM,0.12916911358049246 -706,CACCAGCCCCTGTTTCCTGGACAGTGGCGG,CD15,66.23,351.0,0.923076923,1,nodrug,0.6494957627020873 -707,TTGTAGCCCTCTGTGTGCTCAAGGGGGGCT,HPRT1,31.65,69.0,0.8125,1,6TG_2ug/mL,0.6220820463352632 -708,AGGGAGCCCTTGAGGTGCACCACCAGGTAC,CD13,16.86,163.0,0.52967033,0,nodrug,0.5934264416723093 -709,ACCTAGCCGGCTCCAAACGGGGAAAGGAGG,TADA2B,78.57,330.0,0.115789474,0,AZD_200nM,0.45838698667384586 -710,CAATAGCCGGTCAGCTCTGCACACAGGATT,MED12,49.52,1078.0,0.96969697,1,AZD_200nM,0.6960548613175304 -711,CAATAGCCGGTCAGCTCTGCACACAGGATT,MED12,49.52,1078.0,0.962121212,1,PLX_2uM,0.6960548613175304 -712,TTGAAGCCGTCAGCACCACTCTCTTGGGGC,MED12,78.14,1701.0,0.346320346,0,AZD_200nM,0.32900312736628085 -713,TTGAAGCCGTCAGCACCACTCTCTTGGGGC,MED12,78.14,1701.0,0.363636364,0,PLX_2uM,0.32900312736628085 -714,TCGCAGCCGTCGTAGGCGTACTGCTGGTAC,H2-K,36.86,136.0,0.50887574,0,nodrug,0.516007479636129 -715,TGGTAGCCGTGGTAGCGGCGGTGGTGGCCG,TADA2B,10.71,45.0,0.336842105,0,AZD_200nM,0.4700098695179987 -716,ATGGAGCCGTGTTTGCTGTTCTCAAGGCTG,MED12,56.22,1224.0,0.980519481,1,AZD_200nM,0.5792809435048902 -717,ATGGAGCCGTGTTTGCTGTTCTCAAGGCTG,MED12,56.22,1224.0,0.9664502159999999,1,PLX_2uM,0.5792809435048902 -718,ACTCAGCCTCTGCATCGGCCTTGGCGGTTG,CCDC101,22.87,67.0,0.8456375840000001,1,AZD_200nM,0.510896567928305 -719,CACCAGCCTGCTCCCACTTGTGTTTGGTGA,H2-K,44.99,166.0,0.8994082840000001,1,nodrug,0.38414853575939895 -720,TCCAAGCCTTACTCGGAGAAGCAGAGGCAG,MED12,12.86,280.0,0.730519481,0,AZD_200nM,0.6338897749892306 -721,TCCAAGCCTTACTCGGAGAAGCAGAGGCAG,MED12,12.86,280.0,0.754329004,0,PLX_2uM,0.6338897749892306 -722,TTCTAGCCTTCTCCTCCCTGGCCTGGGCTT,NF2,54.62,325.0,0.802690583,1,PLX_2uM,0.41607572645910806 -723,ACACAGCCTTGAGAACAGCAAACACGGCTC,MED12,56.09,1221.0,0.975108225,1,AZD_200nM,0.6691425411560156 -724,ACACAGCCTTGAGAACAGCAAACACGGCTC,MED12,56.09,1221.0,0.9480519479999999,1,PLX_2uM,0.6691425411560156 -725,GAACAGCGACGTGGAAGTCTGTGTCGGGAA,CD28,30.73,67.0,0.540540541,0,nodrug,0.5821685211558474 -726,CTATAGCGATGGCTCTGGCCAATGTGGTTC,NF1,43.29,1229.0,0.698369565,0,PLX_2uM,0.6447032787442583 -727,TTAAAGCGATTGCTAGGCCCGGTATGGGTA,NF1,58.05,1648.0,0.229619565,0,PLX_2uM,0.48058929639674447 -728,GTGAAGCGCCCGCCGTCCACCAGCTGGTAG,TADA2B,12.62,53.0,0.43157894700000005,0,AZD_200nM,0.5559720532582934 -729,ACCCAGCGCTGGCCCGGGGGCCTGGGGCTG,CD15,53.96,286.0,0.575091575,0,nodrug,0.4546143902145976 -730,CGCCAGCGCTTGGCAGCCAAGGAGGGGCTT,TADA1,98.51,330.0,0.128440367,0,AZD_200nM,0.2699210349530914 -731,AGGCAGCGGAGCACTCACCTGGCCAGGTTG,CD13,69.18,669.0,0.048351648,0,nodrug,0.44292432486482924 -732,AGGCAGCGGCGGCGGCAGAAGCCCTGGCGA,CD15,52.64,279.0,0.43956044,0,nodrug,0.4460145081512959 -733,GAGGAGCGGGCTGCACCTTGCTGTAGGAGA,CD13,49.43,478.0,0.6087912089999999,0,nodrug,0.6329857965108676 -734,AACCAGCGGTTGGTCGTACTGTTTGGGGTG,MED12,34.82,758.0,0.21969697,0,AZD_200nM,0.2716746018486799 -735,AACCAGCGGTTGGTCGTACTGTTTGGGGTG,MED12,34.82,758.0,0.214285714,0,PLX_2uM,0.2716746018486799 -736,TCTCAGCGTCACCCGGTAGGAATCGGGTTT,CD13,8.69,84.0,0.46263736299999997,0,nodrug,0.514938951347919 -737,CATCAGCGTCGCTCTCCTGCTCTCAGGTAC,THY1,6.79,11.0,0.129032258,0,nodrug,0.5177163814260561 -738,ATAAAGCTACAGTAAAAGAAAAAAAGGAAA,NF1,48.78,1385.0,0.09782608699999999,0,PLX_2uM,0.29652599394274665 -739,CAGCAGCTACCTGGGGCTGGGACTGGGGCT,MED12,97.98,2133.0,0.004329004,0,AZD_200nM,0.03693925699235429 -740,CAGCAGCTACCTGGGGCTGGGACTGGGGCT,MED12,97.98,2133.0,0.019480518999999998,0,PLX_2uM,0.03693925699235429 -741,CTGCAGCTCACACCTTCACCTACACGGGGC,MED12,47.59,1036.0,0.593073593,0,AZD_200nM,0.5748682815249019 -742,CTGCAGCTCACACCTTCACCTACACGGGGC,MED12,47.59,1036.0,0.7056277059999999,0,PLX_2uM,0.5748682815249019 -743,CACCAGCTCAGTCTTGTCAATGTCGGGGGG,CD13,15.51,150.0,0.303296703,0,nodrug,0.39890632083318345 -744,TTGAAGCTCATAGACTTCTCACACAGGATA,TADA1,15.52,52.0,0.76146789,0,AZD_200nM,0.7011953786543369 -745,CTCCAGCTCCTCCCAGATTGCAGCTGGTGC,CD5,32.39,160.0,0.175732218,0,nodrug,0.43182376966183067 -746,AACCAGCTCCTCTTCAGCATTCTCAGGATA,NF2,17.48,104.0,0.33632287,0,PLX_2uM,0.5474669853066069 -747,GATAAGCTGAAAAAGGGAGTCAAAGGGGTA,CUL3,52.21,401.0,0.876623377,1,PLX_2uM,0.5683908485790609 -748,CGGAAGCTGAAAGAGAGACAGCGGCGGAAG,TADA2B,51.9,218.0,0.847368421,1,AZD_200nM,0.6626071367484706 -749,AGACAGCTGACCTGTTGGCTGAAAAGGCCC,NF2,64.87,386.0,0.058295964000000006,0,PLX_2uM,0.3900224092546803 -750,CACCAGCTGCAATCTGGGAGGAGCTGGAGA,CD5,31.58,156.0,0.48117154799999995,0,nodrug,0.3934952994019594 -751,GCCGAGCTGCTCACCACGACGCCAGGGCTG,HPRT1,3.21,7.0,0.921875,1,6TG_2ug/mL,0.5960217841386422 -752,GAGAAGCTGGATTCTGACCAGCACAGGGAG,TADA1,71.64,240.0,0.293577982,0,AZD_200nM,0.43276609468267196 -753,ACTAAGCTGGCTCTGCAGTGCAGGAGGGTA,NF1,97.39,2765.0,0.07472826099999999,0,PLX_2uM,0.17195443217997589 -754,CAGCAGCTGGGCTACATGCCGCTGCGGGAT,TADA2B,40.24,169.0,0.40526315799999996,0,AZD_200nM,0.5703074910604163 -755,TTTCAGCTGTTGTCTATGCTGTGGAGGTTG,TADA1,53.43,179.0,0.963302752,1,AZD_200nM,0.6861862419877333 -756,GTTCAGCTTCTGAATGATGTAATCAGGACA,CD45,54.69,618.0,0.238267148,0,nodrug,0.42934474521021193 -757,ACAAAGCTTCTGTGACTGTTTCCAAGGATG,NF1,77.6,2203.0,0.5896739129999999,0,PLX_2uM,0.4868057024028353 -758,TTAGAGCTTGTTGTCACAGTGGTGGGGGGT,CD43,40.51,160.0,0.289855072,0,nodrug,0.48857020535554957 -759,CAGAAGCTTTGTTGGAGATCATGGAGGTAT,NF1,77.95,2213.0,0.610054348,0,PLX_2uM,0.6103459536009576 -760,ACCCAGGAAATACATTGCTGCACAAGGTAA,CD45,48.76,551.0,0.59566787,0,nodrug,0.625428999973995 -761,CAGGAGGAACAGAAGAACTTCCAGAGGAGG,MED12,57.42,1250.0,0.7142857140000001,0,AZD_200nM,0.7207611080677261 -762,CAGGAGGAACAGAAGAACTTCCAGAGGAGG,MED12,57.42,1250.0,0.625541126,0,PLX_2uM,0.7207611080677261 -763,CCAGAGGAAGTATTTATGGCAATCCGGAAT,NF1,83.23,2363.0,0.425271739,0,PLX_2uM,0.41573414600863307 -764,ATCTAGGAAGTCTGTGCTCAGTACTGGGGC,CD45,79.73,901.0,0.465703971,0,nodrug,0.3485593849997684 -765,CGGAAGGACACCAAGATGCGGATCCGGGCC,CUL3,2.34,18.0,0.253246753,0,PLX_2uM,0.3423492588890411 -766,GCCAAGGACAGGCCCCTGGGCCTGGGGAAC,CD5,39.68,196.0,0.10878661099999999,0,nodrug,0.5575637876289471 -767,GAGGAGGACAGGGGGTCGAACAGCAGGGAG,CD13,38.06,368.0,0.181318681,0,nodrug,0.35782139262452545 -768,AAACAGGACCGAGTAGTCATCCTGGGGCTG,CCDC101,88.05,258.0,0.919463087,1,AZD_200nM,0.6582314458573523 -769,CCGTAGGACGCGCGGTCGGTGAGCAGGCGG,CD15,42.08,223.0,0.534798535,0,nodrug,0.469079483144103 -770,GAACAGGACTCTGAGCCAGGGGCCCGGCTT,MED12,53.7,1169.0,0.606060606,0,AZD_200nM,0.525035732800456 -771,GAACAGGACTCTGAGCCAGGGGCCCGGCTT,MED12,53.7,1169.0,0.430735931,0,PLX_2uM,0.525035732800456 -772,CTTTAGGACTTTGTCCAGGTAGCTAGGAAG,TADA2B,94.29,396.0,0.015789473999999998,0,AZD_200nM,0.32212299076081635 -773,ATCAAGGAGAACTCCCTATAGCGATGGCTC,NF1,43.11,1224.0,0.528532609,0,PLX_2uM,0.6662115867470277 -774,TCGAAGGAGACCATCAGCCCCTGGGGGCAG,CD43,16.46,65.0,0.666666667,0,nodrug,0.7108760306262775 -775,GAGCAGGAGAGCGACGCTGATGGCTGGGTT,THY1,3.09,5.0,0.048387097000000004,0,nodrug,0.4131095302960259 -776,CGGTAGGAGAGCGTCCAGTTGAAGAGGTTA,CD15,59.25,314.0,0.919413919,1,nodrug,0.6849791600145527 -777,AAGAAGGAGATGGTGTGGAATTGATGGAAG,NF1,38.57,1095.0,0.5353260870000001,0,PLX_2uM,0.4527933254728977 -778,GGTAAGGAGATGTGGGAGTCAGGAGGGATT,NF1,97.08,2756.0,0.035326087,0,PLX_2uM,0.2206900072633734 -779,AGCCAGGAGCACAGAAGCCTCAGGAGGGCA,NF2,22.86,136.0,0.399103139,0,PLX_2uM,0.5787539442205584 -780,TTTGAGGAGCAGGTGAGGGTCTTCAGGAAC,CD45,57.79,653.0,0.028880866,0,nodrug,0.3181331511011454 -781,GTGCAGGAGCCCAATTTCGGGCACCGGCTG,CD15,74.72,396.0,0.11355311400000001,0,nodrug,0.45282520074589533 -782,GAGAAGGAGCTGCGCCTGAAGCTGAGGCCG,TADA2B,61.67,259.0,0.39473684200000003,0,AZD_200nM,0.5838660500614352 -783,TCTGAGGAGGAACTGATGATGGCATGGAAG,NF1,47.52,1349.0,0.9972826090000001,1,PLX_2uM,0.6587130320792101 -784,CTGCAGGAGGACATCCTGGAAAATGGGAGC,MED12,26.0,566.0,0.245670996,0,AZD_200nM,0.513342190804169 -785,CTGCAGGAGGACATCCTGGAAAATGGGAGC,MED12,26.0,566.0,0.267316017,0,PLX_2uM,0.513342190804169 -786,TGTTAGGAGTTACTCACCCATGAAAGGGTC,MED12,8.45,184.0,0.9090909090000001,1,AZD_200nM,0.592017582877745 -787,TGTTAGGAGTTACTCACCCATGAAAGGGTC,MED12,8.45,184.0,0.95995671,1,PLX_2uM,0.592017582877745 -788,GGGTAGGATCTACAAGAGTAGGATTGGTAG,MED12,91.04,1982.0,0.21103896100000002,0,AZD_200nM,0.33447926726242166 -789,GGGTAGGATCTACAAGAGTAGGATTGGTAG,MED12,91.04,1982.0,0.15584415599999998,0,PLX_2uM,0.33447926726242166 -790,AATGAGGATGGGGAAAACCCCCAGCGGCAG,MED12,61.55,1340.0,0.872294372,1,AZD_200nM,0.7715263144260204 -791,AATGAGGATGGGGAAAACCCCCAGCGGCAG,MED12,61.55,1340.0,0.8008658009999999,1,PLX_2uM,0.7715263144260204 -792,ATCCAGGATGTGTTCTGAACCAGCAGGCTT,THY1,84.57,137.0,0.7580645159999999,0,nodrug,0.5824832404685815 -793,TGGCAGGATTGAAGCTGACGTTCTTGGCAC,MED12,2.8,61.0,0.448051948,0,AZD_200nM,0.3720158775003454 -794,TGGCAGGATTGAAGCTGACGTTCTTGGCAC,MED12,2.8,61.0,0.390692641,0,PLX_2uM,0.3720158775003454 -795,ATTCAGGCAACATCTACAGGCAACTGGTGT,CUL3,64.19,493.0,0.47402597399999996,0,PLX_2uM,0.5529725825559471 -796,GTCCAGGCACTACTCACATTGTTAGGGGTC,MED12,63.02,1372.0,0.31168831199999997,0,AZD_200nM,0.5053259689536033 -797,GTCCAGGCACTACTCACATTGTTAGGGGTC,MED12,63.02,1372.0,0.41666666700000005,0,PLX_2uM,0.5053259689536033 -798,ACCAAGGCACTAGGACAGCACAGGAGGATG,MED12,17.04,371.0,0.895021645,1,AZD_200nM,0.693778461950588 -799,ACCAAGGCACTAGGACAGCACAGGAGGATG,MED12,17.04,371.0,0.8863636359999999,1,PLX_2uM,0.693778461950588 -800,CTGAAGGCAGCAGCAGCAGCAAGCTGGAAG,MED12,30.13,656.0,0.612554113,0,AZD_200nM,0.5712007492414639 -801,CTGAAGGCAGCAGCAGCAGCAAGCTGGAAG,MED12,30.13,656.0,0.867965368,1,PLX_2uM,0.5712007492414639 -802,TTCCAGGCAGGTACGTGTCAATCAAGGCAT,NF1,96.48,2739.0,0.14266304300000002,0,PLX_2uM,0.2757650124367019 -803,TGAGAGGCAGTAGGCTCAGGTACAGGGGTG,CD43,24.56,97.0,0.36956521700000006,0,nodrug,0.5603146290872834 -804,CAAGAGGCAGTCAGCCTGCAGATGTGGATC,NF1,13.1,372.0,0.362771739,0,PLX_2uM,0.5387304965367965 -805,ATCCAGGCCAAGACCCAAACCCAGCGGGCC,CD5,75.1,371.0,0.970711297,1,nodrug,0.6300807581827935 -806,TACGAGGCCAGGGAGGAGGCACTTGGGAAG,CD15,87.55,464.0,0.6117216120000001,0,nodrug,0.46874708851054003 -807,TTCTAGGCCATCCCTGTCATCAATCGGGCA,CD13,67.94,657.0,0.038461537999999997,0,nodrug,0.4320247746104852 -808,CCACAGGCCCAAAATCCTCATCCCTGGCAC,CD33,40.93,149.0,0.696969697,0,nodrug,0.6085752521637059 -809,GGCCAGGCCTGAGGGCGGGTCGCCGGGGTG,CD15,64.34,341.0,0.029304029,0,nodrug,0.17412277894379416 -810,ACGAAGGCCTGAGGTGCACAGGTGTGGTGG,CD5,34.82,172.0,0.60251046,0,nodrug,0.6303982751956246 -811,ATGCAGGCCTTCCCCAGGTTCCCGTGGATG,TADA2B,27.86,117.0,0.594736842,0,AZD_200nM,0.6297622696203036 -812,ATCGAGGCCTTGAAACTGAAAGAGAGGGAG,NF2,92.94,553.0,0.085201794,0,PLX_2uM,0.4126253601468619 -813,TAAGAGGCGAATGTCCCATGTGAGTGGAGG,NF1,28.88,820.0,0.264945652,0,PLX_2uM,0.6532396269676592 -814,TAATAGGCGCGGGGCCGGGGCCTCAGGTGT,MED12,79.51,1731.0,0.005411255,0,AZD_200nM,0.20073402182656275 -815,TAATAGGCGCGGGGCCGGGGCCTCAGGTGT,MED12,79.51,1731.0,0.016233766,0,PLX_2uM,0.20073402182656275 -816,GAGCAGGCGGCTCCTCATCTTCTGGGGGCA,MED12,80.25,1747.0,0.225108225,0,AZD_200nM,0.46315286491149654 -817,GAGCAGGCGGCTCCTCATCTTCTGGGGGCA,MED12,80.25,1747.0,0.231601732,0,PLX_2uM,0.46315286491149654 -818,TCCGAGGCGGGTGTGGACAGCGGGTGGGAG,CD13,46.95,454.0,0.41758241799999996,0,nodrug,0.5080526962568858 -819,TCGTAGGCGTACTGCTGGTACCCGCGGAGG,H2-K,36.04,133.0,0.822485207,1,nodrug,0.6499636948898155 -820,GGGGAGGCTGACCCTGTGGTAGGGTGGGTG,CD33,82.69,301.0,0.064935065,0,nodrug,0.3580407678372211 -821,CTGGAGGCTGCTTTACCCGCTGTGGGGGCG,CCDC101,86.69,254.0,0.926174497,1,AZD_200nM,0.5663675820425244 -822,GGTAAGGCTGGCTGGAGTAGCTGGGGGGCA,MED12,90.35,1967.0,0.222943723,0,AZD_200nM,0.2845325519759335 -823,GGTAAGGCTGGCTGGAGTAGCTGGGGGGCA,MED12,90.35,1967.0,0.19913419899999998,0,PLX_2uM,0.2845325519759335 -824,GCACAGGCTTGGTCTTGCTGCTGCTGGGCA,MED12,64.77,1410.0,0.047619048,0,AZD_200nM,0.24772174609197398 -825,GCACAGGCTTGGTCTTGCTGCTGCTGGGCA,MED12,64.77,1410.0,0.07034632,0,PLX_2uM,0.24772174609197398 -826,ATGAAGGGAAAGGACCAAGGGCCAAGGGGT,CD5,18.22,90.0,0.242677824,0,nodrug,0.5074294231716109 -827,TCACAGGGAAGAATGTCAACATAACGGTTT,CD45,45.04,509.0,0.40433213,0,nodrug,0.6088850103682549 -828,GGAAAGGGAAGGACCTCTTTGATTTGGTGT,NF2,8.07,48.0,0.174887892,0,PLX_2uM,0.4004999376949552 -829,GCACAGGGAGCAGTAAAAGCTGGAGGGCTG,TADA1,69.55,233.0,0.660550459,0,AZD_200nM,0.6513411228773306 -830,GCTCAGGGAGCAGTTGTTCCTACTGGGATC,CD33,26.92,98.0,0.329004329,0,nodrug,0.5374603705468542 -831,ACTCAGGGCAGATTCCGCCTCCTTGGGGAT,CD33,25.55,93.0,0.33982684,0,nodrug,0.361211257976748 -832,TGAAAGGGCAGGATGAACAACGCGAGGGAC,MED12,68.72,1496.0,0.616883117,0,AZD_200nM,0.6276142841765717 -833,TGAAAGGGCAGGATGAACAACGCGAGGGAC,MED12,68.72,1496.0,0.62987013,0,PLX_2uM,0.6276142841765717 -834,CGCCAGGGCTGCGGGTCGCCATAACGGAGC,HPRT1,0.46,1.0,0.65625,0,6TG_2ug/mL,0.5579480459607934 -835,GGGGAGGGGAATAGCCATCTGCATAGGAGG,CCDC101,92.15,270.0,0.751677852,0,AZD_200nM,0.47351401535172716 -836,TTGGAGGGGATTCCTTGCCGCTTCTGGAGG,TADA2B,91.19,383.0,0.110526316,0,AZD_200nM,0.1415343051455079 -837,CAGCAGGGGCAGCAGTAGCAGCAGCGGCAT,CD33,1.1,4.0,0.322510823,0,nodrug,0.6141230232693938 -838,CAGGAGGGGCCCGAGTATTGGGAGCGGGAG,H2-K,22.22,82.0,0.881656805,1,nodrug,0.6310936648524353 -839,GGCTAGGGTAAGGACCTTGATATAGGGCTG,THY1,53.7,87.0,0.709677419,0,nodrug,0.5309982607149175 -840,GCCCAGGGTGCAGTACTCACCGCCAGGCCC,CD13,51.81,501.0,0.596703297,0,nodrug,0.5677884989775293 -841,GCACAGGGTGGTCCTGCGTGGTGTGGGAGG,CD13,14.58,141.0,0.6032967029999999,0,nodrug,0.49573604424398426 -842,TTGCAGGTAAGATGTTTGGTATTGTGGTGG,NF1,95.03,2698.0,0.41304347799999996,0,PLX_2uM,0.2975329074727773 -843,CTCCAGGTAATAGGCGCGGGGCCGGGGCCT,MED12,79.65,1734.0,0.04437229400000001,0,AZD_200nM,0.30061385887850145 -844,CTCCAGGTAATAGGCGCGGGGCCGGGGCCT,MED12,79.65,1734.0,0.11038961,0,PLX_2uM,0.30061385887850145 -845,GCTCAGGTACAGGGGTGCTCATGCTGGCAC,CD43,23.54,93.0,0.41304347799999996,0,nodrug,0.5547144628933474 -846,TGCAAGGTATCCTTCAGAACCTTTGGGAGA,NF1,88.02,2499.0,0.19565217399999998,0,PLX_2uM,0.39088241317812206 -847,AAGCAGGTCACTAAAGGGAGTCGAGGGTGT,MED12,15.8,344.0,0.41774891799999997,0,AZD_200nM,0.7166857486470837 -848,AAGCAGGTCACTAAAGGGAGTCGAGGGTGT,MED12,15.8,344.0,0.66017316,0,PLX_2uM,0.7166857486470837 -849,TGCCAGGTCAGGGTGATGTCAGCAGGGTAG,H2-K,62.87,232.0,0.366863905,0,nodrug,0.7038988769323454 -850,GGTAAGGTCCACTACAATTTCATATGGCTT,NF1,57.77,1640.0,0.649456522,0,PLX_2uM,0.4794647792768601 -851,CTGCAGGTCCGTCTGTCACAGGATTGGCTG,CD43,33.16,131.0,0.789855072,0,nodrug,0.5271289899012501 -852,GTGTAGGTGAAGGTGTGAGCTGCAGGGTTC,MED12,47.31,1030.0,0.7662337659999999,0,AZD_200nM,0.6825814211311306 -853,GTGTAGGTGAAGGTGTGAGCTGCAGGGTTC,MED12,47.31,1030.0,0.757575758,0,PLX_2uM,0.6825814211311306 -854,ACTGAGGTGGGCAGTTTAGCAATGAGGGGG,MED12,65.78,1432.0,0.86038961,1,AZD_200nM,0.6566815574280458 -855,ACTGAGGTGGGCAGTTTAGCAATGAGGGGG,MED12,65.78,1432.0,0.722943723,0,PLX_2uM,0.6566815574280458 -856,ACAAAGGTGTTTCAATTCAATACCTGGAAA,NF1,68.3,1939.0,0.563858696,0,PLX_2uM,0.501377414145063 -857,CCCAAGGTTCAGAGCCGCCTGGTCGGGGGC,CD5,56.48,279.0,0.368200837,0,nodrug,0.3137631617650043 -858,AATGAGGTTGAAGCTTGGTATGTCAGGAGG,NF2,83.19,495.0,0.390134529,0,PLX_2uM,0.4378272844632475 -859,GGTCAGGTTGGTGCCGTGGTCCTGGGGCCG,CD33,56.32,205.0,0.69047619,0,nodrug,0.5837156814576901 -860,AGAAAGTAACAACGTGGAAGAGGTAGGGAA,NF1,74.08,2103.0,0.892663043,1,PLX_2uM,0.5764320316679415 -861,TTTCAGTAAGAAGGAAGAGGTGTTTGGGTA,MED12,6.52,142.0,0.617965368,0,AZD_200nM,0.4195007170802417 -862,TTTCAGTAAGAAGGAAGAGGTGTTTGGGTA,MED12,6.52,142.0,0.6114718610000001,0,PLX_2uM,0.4195007170802417 -863,AGGGAGTACACCAAGTATCATGAGCGGCTG,NF1,59.67,1694.0,0.736413043,0,PLX_2uM,0.7588218513410385 -864,AGGCAGTACAGCAGAATTAATTACAGGGCT,NF1,18.53,526.0,0.429347826,0,PLX_2uM,0.4454682410759096 -865,TTGTAGTAGCCGAGCAGGGTCCTCAGGTCC,H2-K,27.1,100.0,0.378698225,0,nodrug,0.5247937397448914 -866,TGGAAGTAGCGGCGATAGACCGCGGGGTTG,CD15,90.57,480.0,0.7435897440000001,0,nodrug,0.6140251824409116 -867,CAAGAGTAGGATTGGTAGAAGGGTGGGTGC,MED12,90.86,1978.0,0.207792208,0,AZD_200nM,0.3567085482759957 -868,CAAGAGTAGGATTGGTAGAAGGGTGGGTGC,MED12,90.86,1978.0,0.177489177,0,PLX_2uM,0.3567085482759957 -869,CAGAAGTAGGCAAGCCGGCGGGACAGGTAT,MED12,13.5,294.0,0.66991342,0,AZD_200nM,0.48491248548092597 -870,CAGAAGTAGGCAAGCCGGCGGGACAGGTAT,MED12,13.5,294.0,0.673160173,0,PLX_2uM,0.48491248548092597 -871,AGTGAGTAGTCCTGGGGCCCAGGGAGGTGG,CD33,51.37,187.0,0.45021645,0,nodrug,0.6306266223328888 -872,CCAAAGTATGAAGTACCCGTCCAATGGTGA,MED12,20.85,454.0,0.962121212,1,AZD_200nM,0.6870265720778596 -873,CCAAAGTATGAAGTACCCGTCCAATGGTGA,MED12,20.85,454.0,0.9686147190000001,1,PLX_2uM,0.6870265720778596 -874,CTGAAGTCAGAGCGTTCAAAACTATGGCTG,MED12,21.45,467.0,0.675324675,0,AZD_200nM,0.4776971216352388 -875,CTGAAGTCAGAGCGTTCAAAACTATGGCTG,MED12,21.45,467.0,0.626623377,0,PLX_2uM,0.4776971216352388 -876,TGGGAGTCAGGAGGGATTCTTCACTGGTTT,NF1,96.94,2752.0,0.08831521699999999,0,PLX_2uM,0.08517726811466177 -877,CCAAAGTCAGTACTGAGCACAACAAGGAAT,NF1,1.37,39.0,0.8423913040000001,1,PLX_2uM,0.7141832144407542 -878,CAGAAGTCATCAACTGTCTCATCCCGGGGC,CD45,49.2,556.0,0.501805054,0,nodrug,0.5778178243744366 -879,ACTCAGTCATCTCCTAAGCTGTTTTGGGCA,CD28,69.27,151.0,0.121621622,0,nodrug,0.19266166465126772 -880,CCTCAGTCCAGGGACATGTGTTAAAGGCTG,MED12,66.33,1444.0,0.17099567100000002,0,AZD_200nM,0.316131491774446 -881,CCTCAGTCCAGGGACATGTGTTAAAGGCTG,MED12,66.33,1444.0,0.11904761900000001,0,PLX_2uM,0.316131491774446 -882,AGGGAGTCCATGCATCTCACTCGAGGGCCC,CD43,50.13,198.0,0.5,0,nodrug,0.6564518595428418 -883,GAACAGTCCGAGTGGACCGGCGAGTGGCTC,MED12,78.69,1713.0,0.304112554,0,AZD_200nM,0.5410191473259695 -884,GAACAGTCCGAGTGGACCGGCGAGTGGCTC,MED12,78.69,1713.0,0.28571428600000004,0,PLX_2uM,0.5410191473259695 -885,GGGGAGTCCGGGAAGCACCAACGTGGGCAG,TADA2B,23.1,97.0,0.836842105,1,AZD_200nM,0.6888348364465157 -886,GAGTAGTCCTGGGGCCCAGGGAGGTGGGGG,CD33,51.1,186.0,0.03030303,0,nodrug,0.2368818315447904 -887,TTCGAGTCGCCCTCGCACTCCCCGGGGCTG,CD15,57.36,304.0,0.827838828,1,nodrug,0.6857128665926424 -888,TGGAAGTCGGCTACGTGGACGACACGGAGT,H2-K,13.82,51.0,0.733727811,0,nodrug,0.6879206657142035 -889,GGCCAGTCGGGGGGCCCCTTCACGAGGTCG,CD15,45.85,243.0,0.5787545789999999,0,nodrug,0.5703576558130664 -890,GGACAGTCTACGAAAAGCTCTTGCTGGCCA,NF1,10.81,307.0,0.92798913,1,PLX_2uM,0.49698195479298607 -891,ATCAAGTCTCTGTTGGAAGAGAGGCGGATT,CCDC101,32.08,94.0,0.8053691279999999,1,AZD_200nM,0.6637780530801786 -892,TAAAAGTCTGATTACTAGATTCATAGGTGT,CD45,4.78,54.0,0.332129964,0,nodrug,0.45369995235496513 -893,GTTCAGTCTGCATACCTGTCCCGCCGGCTT,MED12,13.55,295.0,0.991341991,1,AZD_200nM,0.6729889294407227 -894,GTTCAGTCTGCATACCTGTCCCGCCGGCTT,MED12,13.55,295.0,0.953463203,1,PLX_2uM,0.6729889294407227 -895,TAATAGTCTTCACAGTCACGTAGCGGGCTG,TADA2B,87.86,369.0,0.8105263159999999,1,AZD_200nM,0.5584668209797633 -896,TCATAGTCTTTCCTTCATAAGTGACGGCAA,NF1,52.84,1500.0,0.22010869600000002,0,PLX_2uM,0.628560244573473 -897,TTGTAGTGAACAGGACTCTGAGCCAGGGGC,MED12,53.56,1166.0,0.20887445899999998,0,AZD_200nM,0.4924725576772733 -898,TTGTAGTGAACAGGACTCTGAGCCAGGGGC,MED12,53.56,1166.0,0.21969697,0,PLX_2uM,0.4924725576772733 -899,CTGTAGTGAGACACAGCTCCCGTTCGGGGC,CD5,48.99,242.0,0.89958159,1,nodrug,0.5289132886118578 -900,GAGGAGTGAGTAGTCCTGGGGCCCAGGGAG,CD33,51.65,188.0,0.21645021600000003,0,nodrug,0.4604504908799441 -901,TGAGAGTGCAAGTATACATGTTGTGGGAGA,MED12,28.11,612.0,0.853896104,1,AZD_200nM,0.6702469948002658 -902,TGAGAGTGCAAGTATACATGTTGTGGGAGA,MED12,28.11,612.0,0.7662337659999999,0,PLX_2uM,0.6702469948002658 -903,TTGCAGTGCCACTCCAGAGGATTCCGGATT,NF1,83.3,2365.0,0.9959239129999999,1,PLX_2uM,0.5164418935140241 -904,ACAGAGTGCCACTTAAGCATGAACTGGAGA,CD45,72.21,816.0,0.418772563,0,nodrug,0.4274102215907772 -905,CTAGAGTGCCAGGGATGAGGATTTTGGGCC,CD33,40.38,147.0,0.028138528,0,nodrug,0.1692940542389569 -906,GCCCAGTGCCATTGCGGCGGGCCACGGCGA,CD13,32.26,312.0,0.020879121,0,nodrug,0.37291250806381193 -907,AATGAGTGCCCAGGGCGTCCAGGCAGGCGT,MED12,93.66,2039.0,0.107142857,0,AZD_200nM,0.1796384656580562 -908,AATGAGTGCCCAGGGCGTCCAGGCAGGCGT,MED12,93.66,2039.0,0.08008658,0,PLX_2uM,0.1796384656580562 -909,CTGAAGTGCGCCAGAGATCACAGTGGGAGG,CD5,59.92,296.0,0.640167364,0,nodrug,0.6617259904277054 -910,CCTTAGTGCTGGTGTTGGGCGTACAGGTAC,CD45,60.62,685.0,0.888086643,1,nodrug,0.5258813804040163 -911,GACCAGTGGACAGAACTAGCTCAAAGGTAT,NF1,78.69,2234.0,0.875,1,PLX_2uM,0.6002393270915811 -912,GGACAGTGGCGGGGCCAGGCCTGAGGGCGG,CD15,65.09,345.0,0.512820513,0,nodrug,0.5192965206846993 -913,TGACAGTGGCTCTTTGTGTTATCTGGGTAA,CD28,80.28,175.0,0.324324324,0,nodrug,0.451989500995824 -914,TCCTAGTGGCTGGCACTCACCTGCAGGTAG,MED12,85.03,1851.0,0.314935065,0,AZD_200nM,0.455000456339087 -915,TCCTAGTGGCTGGCACTCACCTGCAGGTAG,MED12,85.03,1851.0,0.24242424199999998,0,PLX_2uM,0.455000456339087 -916,CTCGAGTGGGAAGCATCATTGTGTGGGAAC,TADA1,42.39,142.0,0.541284404,0,AZD_200nM,0.6330170212721231 -917,AGACAGTGGTCTCATGCACTCCATAGGTGA,NF1,41.0,1164.0,0.42255434799999997,0,PLX_2uM,0.6089174850780051 -918,TGTGAGTGTATGAGTTCCTATTTGAGGGAG,CUL3,41.8,321.0,0.7792207790000001,0,PLX_2uM,0.5832454915244883 -919,GAGCAGTGTCCCAGGGACATCTTTTGGCCG,NF1,65.13,1849.0,0.55298913,0,PLX_2uM,0.46480306615731115 -920,CGGCAGTGTGCGCCTGGATGCCCCAGGGCG,CD15,47.92,254.0,0.527472527,0,nodrug,0.4645288321544569 -921,AAGAAGTGTTGCCATCTTATCAAAAGGTCG,NF1,54.14,1537.0,0.45923913,0,PLX_2uM,0.509084957249647 -922,CATCAGTTAGATAGCATTGATTTGTGGAAT,NF1,19.73,560.0,0.788043478,0,PLX_2uM,0.5371471724857826 -923,TAGCAGTTATAAATAGCCTGGAAAAGGTAA,NF1,7.64,217.0,0.775815217,0,PLX_2uM,0.5292417443997036 -924,CAGAAGTTATCCTTCTGGTTCACTTGGGGC,MED12,4.41,96.0,0.29220779199999997,0,AZD_200nM,0.45874463420974004 -925,CAGAAGTTATCCTTCTGGTTCACTTGGGGC,MED12,4.41,96.0,0.313852814,0,PLX_2uM,0.45874463420974004 -926,AAGTAGTTCACACCGTACATCTCCAGGTCC,NF2,36.13,215.0,0.695067265,0,PLX_2uM,0.5531385334642388 -927,TGGAAGTTCAGCAGATGAAAGCCCAGGCCA,NF2,54.29,323.0,0.533632287,0,PLX_2uM,0.5964276943352097 -928,TCGAAGTTCATCCAAACCCAGCGCTGGCCC,CD15,54.91,291.0,0.703296703,0,nodrug,0.5809946425627637 -929,CCCCAGTTCATGGTTACTGGTTCCGGGAAG,CD33,16.76,61.0,0.374458874,0,nodrug,0.4289056033825061 -930,ACGGAGTTCCAGAGTGTGAGGAGATGGTCT,CD13,79.63,770.0,0.786813187,0,nodrug,0.5023909210929864 -931,CTGCAGTTCCGTCTGTCACAGGATTGGCTG,CD43,35.44,140.0,0.905797101,1,nodrug,0.5541999362116988 -932,TATGAGTTCCTATTTGAGGGAGCAAGGTAA,CUL3,42.06,323.0,0.707792208,0,PLX_2uM,0.6068998739383736 -933,CAAAAGTTCGGAGAGTGTAGGCTGAGGCTC,CD45,81.77,924.0,0.606498195,0,nodrug,0.5537392283666357 -934,TGACAGTTCTGCAGCCAGGGGCCGGGGACG,CD5,62.35,308.0,0.121338912,0,nodrug,0.47131775862711617 -935,GTCCAGTTGAAGAGGTTACTTGCCAGGCTT,CD15,58.49,310.0,0.24908424899999998,0,nodrug,0.49599625845943546 -936,CAGGAGTTGGAGGACACAGCACATTGGAAA,CD45,69.65,787.0,0.631768953,0,nodrug,0.6336778136709508 -937,TGCTAGTTGGGGGCTGAGGAGCAGGGGTGG,MED12,15.3,333.0,0.338744589,0,AZD_200nM,0.4636551078532865 -938,TGCTAGTTGGGGGCTGAGGAGCAGGGGTGG,MED12,15.3,333.0,0.41233766200000005,0,PLX_2uM,0.4636551078532865 -939,TTCCAGTTGGGGTCTTCTGGAAGTGGGGTG,CD13,26.68,258.0,0.42967033,0,nodrug,0.43370851278311723 -940,TCAAAGTTTGAGGAATTTATGACTAGGTAA,NF1,55.44,1574.0,0.913043478,1,PLX_2uM,0.6151010782343683 -941,GACAATAAAGAGGGTGTTGTTGGCAGGGAT,NF1,67.03,1903.0,0.5040760870000001,0,PLX_2uM,0.48640893068690133 -942,GCGCATAAAGCGCATTCTCCAGGTAGGCCA,MED12,61.97,1349.0,0.9707792209999999,1,AZD_200nM,0.7535811263865378 -943,GCGCATAAAGCGCATTCTCCAGGTAGGCCA,MED12,61.97,1349.0,0.9642857140000001,1,PLX_2uM,0.7535811263865378 -944,GAAGATAAAGTCACCCTGAGGTGCTGGGCC,H2-K,60.7,224.0,0.562130178,0,nodrug,0.39711106049905626 -945,ATCAATAAATAATGAGAGGTATTCAGGAGA,CUL3,50.39,387.0,0.07792207799999999,0,PLX_2uM,0.29764240902494354 -946,TGTTATAAATGTGCAGACAGATTTGGGGAG,CD45,18.58,210.0,0.205776173,0,nodrug,0.3184134319569101 -947,TTCAATAACCAGCCTGCTGTCTCTGGGGAT,MED12,2.39,52.0,0.40800865799999997,0,AZD_200nM,0.49017220093263886 -948,TTCAATAACCAGCCTGCTGTCTCTGGGGAT,MED12,2.39,52.0,0.46645021600000003,0,PLX_2uM,0.49017220093263886 -949,ATCTATAACTGTAACTCCTGGGTCAGGGAG,NF1,59.39,1686.0,0.517663043,0,PLX_2uM,0.4731254046646703 -950,CTAAATAACTTGTACATGCAACCAAGGTCT,CUL3,38.67,297.0,0.9285714290000001,1,PLX_2uM,0.6807799554777051 -951,CCACATAAGATGTTGTTCTAAAGTAGGAGT,NF1,72.88,2069.0,0.543478261,0,PLX_2uM,0.49061862419180013 -952,CAAGATAAGGAGAATGATTTGTAGTGGCCA,NF1,9.51,270.0,0.851902174,1,PLX_2uM,0.674587105846636 -953,AGGGATAATGGTTCATACTTCTTTCGGATG,CD33,32.42,118.0,0.329004329,0,nodrug,0.32656311509975156 -954,CCAAATACACAGTGCCTGTGATGCGGGCTG,MED12,7.07,154.0,0.908008658,1,AZD_200nM,0.5947270810916739 -955,CCAAATACACAGTGCCTGTGATGCGGGCTG,MED12,7.07,154.0,0.846320346,1,PLX_2uM,0.5947270810916739 -956,TGACATACCAAGCTTCAACCTCATTGGTGA,NF2,84.03,500.0,0.264573991,0,PLX_2uM,0.4872668015155427 -957,TTCAATACGTTTCTTAATAACAACTGGACT,CUL3,96.35,740.0,0.15584415599999998,0,PLX_2uM,0.07216301916555222 -958,TCTCATACTGGCTGTCCTTCACCAGGGAGC,CD13,17.68,171.0,0.9164835159999999,1,nodrug,0.7705754465964413 -959,GCTAATACTTCAATTTGTTTGGAGTGGAAA,CD45,11.95,135.0,0.454873646,0,nodrug,0.558304390311663 -960,AACTATAGATTTATATGTACCACCAGGTGA,CD45,9.82,111.0,0.960288809,1,nodrug,0.6785906687720702 -961,TCTTATAGCATAAAACATATCCATGGGGTT,CD45,21.95,248.0,0.981949458,1,nodrug,0.5933200617444353 -962,CGACATAGCTCTTCCCACCGTCCCCGGCCC,CD5,62.75,310.0,0.39748954,0,nodrug,0.5522240106047713 -963,CTGGATAGGGGTCCCTGTCAGGGGCGGTAC,CD28,100.0,218.0,0.72972973,0,nodrug,0.46816286828811277 -964,CTATATAGGTATGTTCGTGTGCTTGGGAAT,NF1,35.29,1002.0,0.377717391,0,PLX_2uM,0.450190732949486 -965,TTTGATAGGTCCGGACAAGGTCAATGGAAT,CD45,27.79,314.0,0.942238267,1,nodrug,0.5383865671685278 -966,GACTATAGTAGAAATGGAGAATTCTGGGCT,CUL3,36.59,281.0,0.22077922100000003,0,PLX_2uM,0.29832579740771914 -967,AATGATAGTGACTGCTTATGAGCATGGGCT,TADA1,48.06,161.0,0.871559633,1,AZD_200nM,0.6398812008399053 -968,TTGGATATAGACCACGGAGATCCTTGGCAG,CD5,21.86,108.0,0.9330543929999999,1,nodrug,0.6224446541307 -969,GTCTATATCTATAACTGTAACTCCTGGGTC,NF1,59.32,1684.0,0.702445652,0,PLX_2uM,0.5271195856144144 -970,GAGAATATTTGGCACGAACACCTGAGGATC,CUL3,98.7,758.0,0.727272727,0,PLX_2uM,0.4470930336403093 -971,TTTCATCAAAACCAGTGCAACAGGTGGCTT,NF1,71.15,2020.0,0.5584239129999999,0,PLX_2uM,0.60485809019152 -972,GATCATCAAAGGGAGAGGGAGGCCGGGGAC,MED12,29.08,633.0,0.203463203,0,AZD_200nM,0.4011479081633147 -973,GATCATCAAAGGGAGAGGGAGGCCGGGGAC,MED12,29.08,633.0,0.234848485,0,PLX_2uM,0.4011479081633147 -974,TGGGATCAATAAAAGCTGAGGTGATGGCAG,NF1,71.5,2030.0,0.33831521700000006,0,PLX_2uM,0.417049404245492 -975,CATTATCACCCACCTAGGCAGATCAGGCTC,CD5,26.52,131.0,0.577405858,0,nodrug,0.4871156047452608 -976,GGTCATCACGGTGGATACCAGCACGGGGAC,CD13,57.6,557.0,0.9241758240000001,1,nodrug,0.5216945772949447 -977,GTCGATCACGTTCTTTGCGTGAAGAGGAAC,MED12,67.11,1461.0,0.072510823,0,AZD_200nM,0.43665030037332564 -978,GTCGATCACGTTCTTTGCGTGAAGAGGAAC,MED12,67.11,1461.0,0.087662338,0,PLX_2uM,0.43665030037332564 -979,GAGAATCAGAAGCCGCAGATGAGAAGGGTT,MED12,25.22,549.0,0.519480519,0,AZD_200nM,0.49862429279466286 -980,GAGAATCAGAAGCCGCAGATGAGAAGGGTT,MED12,25.22,549.0,0.475108225,0,PLX_2uM,0.49862429279466286 -981,CTGTATCAGATGACTCCGGAAATGTGGGAG,NF2,30.76,183.0,0.762331839,0,PLX_2uM,0.551528189477732 -982,TTTAATCAGATGATTATAACCGTGTGGAAC,CD45,45.93,519.0,0.898916968,1,nodrug,0.6817481611017507 -983,TGCCATCAGCACCGCCTGCTCCAACGGAGT,CD13,78.8,762.0,0.542857143,0,nodrug,0.46552650438225524 -984,CCCCATCAGCTTCCTAACCTGCAGTGGACG,CD45,87.96,994.0,0.462093863,0,nodrug,0.5742792981989597 -985,TTTGATCAGGGCTTCAAGGAACCCAGGAAA,CD45,48.23,545.0,0.8592057759999999,1,nodrug,0.5996319239138669 -986,CTGAATCATAGACACCAGGTCTTTGGGTTC,CD45,85.13,962.0,0.133574007,0,nodrug,0.31037334161658786 -987,ATTCATCATGGTGACCCTTCCTATAGGTAA,NF1,87.53,2485.0,0.744565217,0,PLX_2uM,0.40935617595861884 -988,GTCAATCATTAGATCCACATCTGCAGGCTG,NF1,13.1,372.0,0.630434783,0,PLX_2uM,0.5508468388911147 -989,GTTCATCCAAACCCAGCGCTGGCCCGGGGG,CD15,54.72,290.0,0.065934066,0,nodrug,0.3477026842422722 -990,CCCAATCCAAAGATTCGGTTACAAAGGGAG,MED12,22.09,481.0,0.57034632,0,AZD_200nM,0.5760783327962096 -991,CCCAATCCAAAGATTCGGTTACAAAGGGAG,MED12,22.09,481.0,0.609307359,0,PLX_2uM,0.5760783327962096 -992,CTCCATCCACGATGCGGTTCTGGGAGGCAG,MED12,55.67,1212.0,0.848484848,1,AZD_200nM,0.6853803650002938 -993,CTCCATCCACGATGCGGTTCTGGGAGGCAG,MED12,55.67,1212.0,0.7867965370000001,0,PLX_2uM,0.6853803650002938 -994,AGAAATCCAGCGTAAGAATAACAGTGGTCT,CUL3,6.38,49.0,0.5844155839999999,0,PLX_2uM,0.716180545257024 -995,CCAGATCCCACAGACTGATATGGCTGGTAA,NF1,8.52,242.0,0.8165760870000001,1,PLX_2uM,0.6136041951770818 -996,AAAAATCCCCGCTTGTGAACACTGGGGTCG,NF2,26.22,156.0,0.986547085,1,PLX_2uM,0.7921876193402057 -997,CGAAATCCCCGTCGCAGTTGAACTCGGCAT,CD28,38.99,85.0,0.37837837799999996,0,nodrug,0.5631504595282614 -998,CCTCATCCCTGGCACTCTAGAACCCGGCCA,CD33,42.31,154.0,0.9480519479999999,1,nodrug,0.6407031533657543 -999,TGCCATCCCTTCACTCCTTAATGCTGGTGA,MED12,53.15,1157.0,0.79978355,0,AZD_200nM,0.523377960444315 -1000,TGCCATCCCTTCACTCCTTAATGCTGGTGA,MED12,53.15,1157.0,0.787878788,0,PLX_2uM,0.523377960444315 -1001,CTTCATCCCTTCTGGGGAAGCCTTGGGAAG,CD45,86.46,977.0,0.010830325,0,nodrug,0.27142404216110805 -1002,TTCTATCCGACCTGAGCACAGGCTTGGTCT,MED12,65.0,1415.0,0.424242424,0,AZD_200nM,0.5613708919080488 -1003,TTCTATCCGACCTGAGCACAGGCTTGGTCT,MED12,65.0,1415.0,0.5519480520000001,0,PLX_2uM,0.5613708919080488 -1004,GACGATCCTCACGGTGAACGTCTTGGGTTG,NF2,3.53,21.0,0.860986547,1,PLX_2uM,0.4434347916717629 -1005,GGACATCCTGGAAAATGGGAGCACTGGGAG,MED12,25.86,563.0,0.25108225100000003,0,AZD_200nM,0.42200583163124045 -1006,GGACATCCTGGAAAATGGGAGCACTGGGAG,MED12,25.86,563.0,0.25432900399999997,0,PLX_2uM,0.42200583163124045 -1007,CGCAATCCTGTGTGCAGAGCTGACCGGCTA,MED12,49.66,1081.0,0.9188311690000001,1,AZD_200nM,0.6542040080217855 -1008,CGCAATCCTGTGTGCAGAGCTGACCGGCTA,MED12,49.66,1081.0,0.903679654,1,PLX_2uM,0.6542040080217855 -1009,GGGGATCCTTTGCCACAAATTGCTGGGCTC,TADA1,37.01,124.0,0.110091743,0,AZD_200nM,0.42845920671429133 -1010,TCCCATCGAATTGGCAAGGGCCTGGGGTCC,CD5,46.76,231.0,0.255230126,0,nodrug,0.5524880077514792 -1011,CCTCATCGACTTTGCCATTCAGGTGGGGAA,MED12,41.11,895.0,0.6309523810000001,0,AZD_200nM,0.600447442218644 -1012,CCTCATCGACTTTGCCATTCAGGTGGGGAA,MED12,41.11,895.0,0.6861471859999999,0,PLX_2uM,0.600447442218644 -1013,CATAATCGCCGTGGCCCGCCGCAATGGCAC,CD13,32.06,310.0,0.796703297,0,nodrug,0.5626298078666024 -1014,TGGCATCGCCTCCCCAGACCAGATTGGCCT,CD13,35.47,343.0,0.22747252699999998,0,nodrug,0.5155860941175865 -1015,AGCCATCGGAATCAAATATGCGCTGGGCAC,MED12,46.67,1016.0,0.471861472,0,AZD_200nM,0.6104932287838146 -1016,AGCCATCGGAATCAAATATGCGCTGGGCAC,MED12,46.67,1016.0,0.418831169,0,PLX_2uM,0.6104932287838146 -1017,ACCCATCTATTCAAGCAAAAATATGGGGAA,NF1,70.31,1996.0,0.17391304300000002,0,PLX_2uM,0.41689481891137853 -1018,GCTCATCTCCAGTTCATGCTTAAGTGGCAC,CD45,72.04,814.0,0.487364621,0,nodrug,0.4700505782535361 -1019,CCTAATCTCCCAAAATGTTTCTACAGGAGC,NF1,20.01,568.0,0.176630435,0,PLX_2uM,0.4906925481703558 -1020,CTCGATCTCGTAATCATCCCGCAGCGGCAT,TADA2B,40.48,170.0,0.7526315790000001,0,AZD_200nM,0.7121262092729059 -1021,AGCAATCTCTGGCATGTGTGACTGAGGGAC,NF1,18.88,536.0,0.925271739,1,PLX_2uM,0.6147420376306918 -1022,TATGATCTGCGCAAGAAAAGATCCAGGTAA,CD45,38.5,435.0,0.74368231,0,nodrug,0.5998088605274164 -1023,CCCCATCTGCTCACTTGAATTCTGAGGGGC,CD13,59.88,579.0,0.126373626,0,nodrug,0.47119213868095133 -1024,TACAATCTGGTGCCAGCCTTCCTGGGGAAG,TADA2B,55.48,233.0,0.673684211,0,AZD_200nM,0.6459051174284873 -1025,CCTCATCTGTAAGTCTCTGCAGTGTGGCTC,CD5,41.5,205.0,0.753138075,0,nodrug,0.685885506905953 -1026,AATGATCTGTGCCCGATTGATGACAGGGAT,CD13,67.84,656.0,0.416483516,0,nodrug,0.45134453675071207 -1027,CTTTATCTTCAGGTCTGCTGTGATGGGTCA,H2-K,57.72,213.0,0.609467456,0,nodrug,0.46464022134001454 -1028,CCCTATCTTGCTGCAGAAACTCAGAGGATT,NF1,90.95,2582.0,0.557065217,0,PLX_2uM,0.44655220670313417 -1029,TTGGATCTTGGCACAATGATAACAGGGTGT,NF1,94.01,2669.0,0.315217391,0,PLX_2uM,0.40246181562046324 -1030,GGATATGAATGATAGACTGGACAATGGCTT,NF1,64.14,1821.0,0.90625,1,PLX_2uM,0.6778636115435924 -1031,AGGAATGACACCCACCCTACCACAGGGTCA,CD33,83.24,303.0,0.255411255,0,nodrug,0.6600367461503142 -1032,CGTGATGACATCTCGGGTCTGCTTGGGCAG,MED12,75.52,1644.0,0.515151515,0,AZD_200nM,0.34698364137655047 -1033,CGTGATGACATCTCGGGTCTGCTTGGGCAG,MED12,75.52,1644.0,0.452380952,0,PLX_2uM,0.34698364137655047 -1034,GGCCATGACCCTGCCCCTGTGGATCGGGAA,CCDC101,45.39,133.0,0.55033557,0,AZD_200nM,0.4565275926200402 -1035,ACCCATGACGCCAGTCATGGTTGTGGGCAG,MED12,86.4,1881.0,0.46428571399999996,0,AZD_200nM,0.4805338587427236 -1036,ACCCATGACGCCAGTCATGGTTGTGGGCAG,MED12,86.4,1881.0,0.439393939,0,PLX_2uM,0.4805338587427236 -1037,ATTAATGACGCCTTCAACCTGGCCAGGTGA,CD13,69.18,669.0,0.062637363,0,nodrug,0.4960640621023452 -1038,TACCATGACTCCAATGAGTGCCCAGGGCGT,MED12,93.48,2035.0,0.177489177,0,AZD_200nM,0.373203724272459 -1039,TACCATGACTCCAATGAGTGCCCAGGGCGT,MED12,93.48,2035.0,0.116883117,0,PLX_2uM,0.373203724272459 -1040,TCAGATGACTCCCAGCTCTTCCTACGGTTT,MED12,88.88,1935.0,0.39177489200000004,0,AZD_200nM,0.4522696124242114 -1041,TCAGATGACTCCCAGCTCTTCCTACGGTTT,MED12,88.88,1935.0,0.34199134200000003,0,PLX_2uM,0.4522696124242114 -1042,GTTGATGACTTCTGGAGGATGATCTGGGAG,CD45,50.09,566.0,0.57400722,0,nodrug,0.39836601581672576 -1043,CGGGATGAGACAGTTGATGACTTCTGGAGG,CD45,49.73,562.0,0.270758123,0,nodrug,0.31790747236998923 -1044,ACAGATGAGGTTCCCCAGGCCCAGGGGCCT,CD5,39.47,195.0,0.853556485,1,nodrug,0.6347452748156547 -1045,CTTCATGATCCATGGACATTTGACTGGTAT,NF1,22.61,642.0,0.383152174,0,PLX_2uM,0.5434610898356038 -1046,AACCATGATCTATTTATGAGGAGAAGGAAA,NF2,52.1,310.0,0.7399103140000001,0,PLX_2uM,0.5652450165142353 -1047,CAGGATGATGCTTGCCACAGTGCCTGGGGC,CD5,76.52,378.0,0.12552301300000002,0,nodrug,0.2624487892334776 -1048,GATGATGATGTAAAATGTCTTACAAGGTAA,NF1,37.51,1065.0,0.455163043,0,PLX_2uM,0.6046985343390431 -1049,CCCCATGATGTAGAGGTGGCAATCCGGCAG,MED12,10.56,230.0,0.9004329,1,AZD_200nM,0.5824992204767009 -1050,CCCCATGATGTAGAGGTGGCAATCCGGCAG,MED12,10.56,230.0,0.848484848,1,PLX_2uM,0.5824992204767009 -1051,GTTCATGATGTCCCGCACGGTGGTGGGGAG,CD13,55.33,535.0,0.661538462,0,nodrug,0.4621635740853465 -1052,GGATATGATTGCAAGAGAGCGGAAAGGAGA,CUL3,22.53,173.0,0.448051948,0,PLX_2uM,0.7070802772102365 -1053,TACCATGCACCTCCGTACCTTCATGGGGCC,CD13,74.35,719.0,0.094505495,0,nodrug,0.4260515098965985 -1054,TAACATGCCACTTGATTCTTGGCTTGGTGA,CD43,61.77,244.0,0.231884058,0,nodrug,0.5420307684897898 -1055,CAGCATGCCCCAAAGAGGAGGAGAAGGTGC,CD43,1.52,6.0,0.630434783,0,nodrug,0.5996691559616082 -1056,TCGAATGCCGAGTTCAACTGCGACGGGGAT,CD28,40.37,88.0,0.067567568,0,nodrug,0.5010035278189452 -1057,GAAAATGCTCACATGAAGAAGATGAGGCAG,CD33,76.37,278.0,0.359307359,0,nodrug,0.5894505661121127 -1058,CCTGATGCTCCTGTAGAAACATTTTGGGAG,NF1,20.08,570.0,0.061141304,0,PLX_2uM,0.18791687319456551 -1059,ACCAATGCTCTCACCTTAAAGTGTTGGTTG,NF1,13.84,393.0,0.823369565,1,PLX_2uM,0.6296591421736918 -1060,GTGGATGCTGACAAAACCTCCCCCGGGTTC,CD5,68.22,337.0,0.694560669,0,nodrug,0.6929396151011782 -1061,GGACATGCTGAGCGTGCTCATCAATGGGAC,MED12,73.04,1590.0,0.233766234,0,AZD_200nM,0.4682540216150422 -1062,GGACATGCTGAGCGTGCTCATCAATGGGAC,MED12,73.04,1590.0,0.27056277100000004,0,PLX_2uM,0.4682540216150422 -1063,ACTCATGCTGGATGGAGTTATCCTTGGTGT,THY1,28.4,46.0,0.24193548399999998,0,nodrug,0.5548670245785357 -1064,GGGAATGCTGGGAAGTTGCAAGTGAGGTCA,NF1,98.1,2785.0,0.086956522,0,PLX_2uM,0.2017696874150029 -1065,CTGCATGCTGGTTTCCTTCACGACAGGTGT,NF1,4.4,125.0,0.436141304,0,PLX_2uM,0.5184045338435078 -1066,TGCCATGGACCGTCTGTGTGCTGGCGGCCG,CD15,29.43,156.0,0.49816849799999996,0,nodrug,0.6154117052073463 -1067,GGACATGGACTGACCTCCACTCAAAGGTAC,MED12,92.51,2014.0,0.575757576,0,AZD_200nM,0.4602676786968943 -1068,GGACATGGACTGACCTCCACTCAAAGGTAC,MED12,92.51,2014.0,0.535714286,0,PLX_2uM,0.4602676786968943 -1069,AGGGATGGCCCCACAGAGGGGTGGGGGCCT,CCDC101,48.81,143.0,0.09395973199999999,0,AZD_200nM,0.36915483914599645 -1070,CTTCATGGCCGGCTCATCGAAGCATGGGAA,CD13,23.16,224.0,0.68021978,0,nodrug,0.589795434492412 -1071,CTCCATGGCGCCGGCGTTGAAGTCTGGCAG,CD13,36.09,349.0,0.325274725,0,nodrug,0.4193577248186095 -1072,GAAGATGGCTGAATACTACCGGCCAGGGCC,MED12,9.46,206.0,0.518398268,0,AZD_200nM,0.5304641581906757 -1073,GAAGATGGCTGAATACTACCGGCCAGGGCC,MED12,9.46,206.0,0.668831169,0,PLX_2uM,0.5304641581906757 -1074,TGGCATGGCTGTAACTGACCACCTCGGCCA,CCDC101,61.43,180.0,0.9530201340000001,1,AZD_200nM,0.7101392237353621 -1075,GTCAATGGGAAGATTCAAAGAAATGGGACT,CD45,26.19,296.0,0.38267148,0,nodrug,0.5034451650236782 -1076,ACTTATGGGAGCAGTTACAGAAGATGGCTG,MED12,9.19,200.0,0.506493506,0,AZD_200nM,0.55031220038182 -1077,ACTTATGGGAGCAGTTACAGAAGATGGCTG,MED12,9.19,200.0,0.478354978,0,PLX_2uM,0.55031220038182 -1078,GGGTATGGGATGGAAGAAAGTGCAGGGCAC,CD33,11.54,42.0,0.9134199129999999,1,nodrug,0.7230442177233077 -1079,CATCATGGGGCAAGGGCCCTATCGTGGAAC,MED12,10.06,219.0,0.048701299,0,AZD_200nM,0.6370482513979419 -1080,CATCATGGGGCAAGGGCCCTATCGTGGAAC,MED12,10.06,219.0,0.060606060999999996,0,PLX_2uM,0.6370482513979419 -1081,TGTGATGGGTCACATGGGCCTTTGGGGAAT,H2-K,56.1,207.0,0.44970414200000003,0,nodrug,0.4557883661367575 -1082,TGTCATGGTCACACGATGTGAAGAAGGAAA,CD45,51.42,581.0,0.40794223799999996,0,nodrug,0.5619996169345053 -1083,CTAGATGGTGCTGGATCTTTGCCTTGGCCA,TADA1,25.07,84.0,0.321100917,0,AZD_200nM,0.521822776714473 -1084,GTCTATGGTTATGTTGTCAAGCTAAGGCGA,CD45,63.19,714.0,0.505415162,0,nodrug,0.5922612022636219 -1085,AGTCATGGTTGTGGGCAGCACTCCAGGGTA,MED12,86.22,1877.0,0.436147186,0,AZD_200nM,0.3690536725988104 -1086,AGTCATGGTTGTGGGCAGCACTCCAGGGTA,MED12,86.22,1877.0,0.37662337700000004,0,PLX_2uM,0.3690536725988104 -1087,GAGCATGTACATCCACGGGAACCTGGGGAA,TADA2B,28.1,118.0,0.505263158,0,AZD_200nM,0.5196671297941835 -1088,TGGTATGTCAGGAGGCAACGGTGCTGGAAT,NF2,82.35,490.0,0.32735426,0,PLX_2uM,0.4294600656802742 -1089,GTGGATGTCAGTTCACGTCAAAACTGGAAG,CUL3,61.07,469.0,0.272727273,0,PLX_2uM,0.4021551635049422 -1090,GCGAATGTCCCATGTGAGTGGAGGAGGATC,NF1,28.95,822.0,0.17934782600000002,0,PLX_2uM,0.5299583563374846 -1091,CTCTATGTGCTCAGCCAGTTTCCCAGGACA,NF1,60.37,1714.0,0.739130435,0,PLX_2uM,0.5800154621091032 -1092,CCTGATGTGCTGAAGAGATCGTTCTGGGCT,CD13,62.98,609.0,0.298901099,0,nodrug,0.41252076039451313 -1093,GTAAATGTGGGTGCTGTTGTGATGAGGAAA,NF1,91.12,2587.0,0.23777173899999998,0,PLX_2uM,0.42287349421416337 -1094,GCCAATGTGGTTCCTTGTTCTCAGTGGGTA,NF1,43.5,1235.0,0.773097826,0,PLX_2uM,0.5982877124721546 -1095,ATGAATGTGTTATAGTTGGGCAAGAGGTTA,NF1,25.78,732.0,0.487771739,0,PLX_2uM,0.6618760127436211 -1096,AGTAATGTTCCCAAACATGGCAGCTGGAAA,CD45,3.72,42.0,0.018050542,0,nodrug,0.5539688937864367 -1097,TGTGATGTTGACAGAGTTAGTGAATGGAGA,CD45,78.85,891.0,0.772563177,0,nodrug,0.5503531856026312 -1098,CGCCATGTTGGAGACAGTGGATGGAGGAGG,H2-K,81.3,300.0,0.455621302,0,nodrug,0.6109343623135401 -1099,CGAGATGTTTCGGATTTCATTCCACGGGAA,NF2,43.53,259.0,0.829596413,1,PLX_2uM,0.5692806237842667 -1100,CCTTATTAAGAAGTGGCTGTAATTTGGTTA,NF1,81.05,2301.0,0.150815217,0,PLX_2uM,0.2158134356922573 -1101,TGATATTAATGACCAGTCCATGTGTGGAAG,NF1,74.78,2123.0,0.952445652,1,PLX_2uM,0.5651721108848946 -1102,CCAAATTACAGCCACTTCTTAATAAGGTAA,NF1,81.23,2306.0,0.020380435,0,PLX_2uM,0.30671111574445004 -1103,ATACATTACTTACATCAATGTAGCTGGCAT,CD45,47.61,538.0,0.184115523,0,nodrug,0.559801241721859 -1104,GTGTATTAGCAAACGAGTGTCTCATGGGCA,NF1,79.61,2260.0,0.66576087,0,PLX_2uM,0.47833469540437423 -1105,CCACATTAGGCTTAGGTTACCACAAGGATC,NF1,41.21,1170.0,0.8396739129999999,1,PLX_2uM,0.7323507333882964 -1106,CGTTATTATAAACAACACTTGGCAAGGAGA,CUL3,56.9,437.0,0.350649351,0,PLX_2uM,0.5709612174624977 -1107,AATCATTATGCTGAGGATTTGGAAAGGGTG,HPRT1,15.14,33.0,0.859375,1,6TG_2ug/mL,0.6743210980680404 -1108,CTCTATTATTAAAGAGCATTAATATGGTCA,CUL3,78.39,602.0,0.545454545,0,PLX_2uM,0.33802304307058206 -1109,TGGTATTCAGCCTCCAGAGGGGAGGGGTCA,CD45,67.96,768.0,0.33574007200000006,0,nodrug,0.5484591554032793 -1110,AGGTATTCAGGAGACCTGGAGTTGAGGTTG,CUL3,49.61,381.0,0.564935065,0,PLX_2uM,0.5775533420994939 -1111,TTTCATTCCACGGGAAGGAGATCTTGGGGG,NF2,42.69,254.0,0.515695067,0,PLX_2uM,0.3537094941437964 -1112,TGAAATTCCAGACAAGTTTGTTGTAGGATA,HPRT1,86.24,188.0,0.171875,0,6TG_2ug/mL,0.43680749829838095 -1113,AGGAATTCCGGGCATCCCTGTACAAGGGCG,CD28,26.15,57.0,0.662162162,0,nodrug,0.5522416128816711 -1114,GCGGATTCCTACTGTAGGCTTGTCTGGGGA,MED12,54.85,1194.0,0.6114718610000001,0,AZD_200nM,0.32601369878980685 -1115,GCGGATTCCTACTGTAGGCTTGTCTGGGGA,MED12,54.85,1194.0,0.6341991339999999,0,PLX_2uM,0.32601369878980685 -1116,TGTCATTCCTGCCCACTGCTGTCCTGGCTG,CD33,80.22,292.0,0.11038961,0,nodrug,0.3301134972208946 -1117,GCCAATTCGATGGGAGGCCCCGAACGGGAG,CD5,48.58,240.0,0.912133891,1,nodrug,0.5795030126207154 -1118,CAAGATTCGGCCAAAAGATGTCCCTGGGAC,NF1,65.16,1850.0,0.8084239129999999,1,PLX_2uM,0.55765654217645 -1119,AGTAATTCTCTCCTCCCACATTTCCGGAGT,NF2,30.76,183.0,0.188340807,0,PLX_2uM,0.252336166250036 -1120,TTTTATTCTGATTGTGGGGCTTTCGGGCAT,CD45,44.25,500.0,0.046931408,0,nodrug,0.21745379036112306 -1121,CACTATTCTTCAGGTATGGCTGCGGGGTCA,TADA1,64.18,215.0,0.752293578,0,AZD_200nM,0.6753773462743157 -1122,CTTCATTGAACAGACCCCAGAACCAGGTCT,CD5,20.65,102.0,0.682008368,0,nodrug,0.6130329796483343 -1123,CAGGATTGAACTTACTGAGAAATCAGGCTT,MED12,31.42,684.0,0.17424242399999998,0,AZD_200nM,0.39555911931808985 -1124,CAGGATTGAACTTACTGAGAAATCAGGCTT,MED12,31.42,684.0,0.159090909,0,PLX_2uM,0.39555911931808985 -1125,CAGGATTGATAAATCTGAGGAACATGGCAC,NF1,49.67,1410.0,0.926630435,1,PLX_2uM,0.6717399763748461 -1126,ATTTATTGATGATAAGCTGAAAAAGGGAGT,CUL3,51.69,397.0,0.26623376600000004,0,PLX_2uM,0.48222561419785653 -1127,CCGGATTGCCACCTCTACATCATGGGGCAA,MED12,10.34,225.0,0.706709957,0,AZD_200nM,0.6957652259248008 -1128,CCGGATTGCCACCTCTACATCATGGGGCAA,MED12,10.34,225.0,0.63961039,0,PLX_2uM,0.6957652259248008 -1129,CCGGATTGCCATAAATACTTCCTCTGGACT,NF1,83.06,2358.0,0.577445652,0,PLX_2uM,0.46829717293439377 -1130,CAGGATTGCGATGTCATTCACCCTAGGGAA,MED12,49.2,1071.0,0.83008658,1,AZD_200nM,0.5962667821339702 -1131,CAGGATTGCGATGTCATTCACCCTAGGGAA,MED12,49.2,1071.0,0.880952381,1,PLX_2uM,0.5962667821339702 -1132,CTCCATTGCTTCCTGAGCAATCTCTGGCAT,NF1,19.06,541.0,0.850543478,1,PLX_2uM,0.4751159052053789 -1133,AAGAATTGGAGAAGGGTCAGCACCTGGGTT,MED12,66.88,1456.0,0.322510823,0,AZD_200nM,0.476390863088713 -1134,AAGAATTGGAGAAGGGTCAGCACCTGGGTT,MED12,66.88,1456.0,0.461038961,0,PLX_2uM,0.476390863088713 -1135,TCTTATTGGATCCACAGAATAAAAAGGGCA,NF2,38.15,227.0,0.228699552,0,PLX_2uM,0.3188919332680448 -1136,AGTCATTGTAGAGACCGGCAATCTTGGCCG,CCDC101,34.13,100.0,0.302013423,0,AZD_200nM,0.4692707534131521 -1137,TGCCATTGTCTCACCGTATGAAGCAGGGAT,NF1,50.12,1423.0,0.46331521700000006,0,PLX_2uM,0.5502116517538086 -1138,TGGTATTGTGGTGGGGATTCTTCATGGTAC,NF1,94.82,2692.0,0.247282609,0,PLX_2uM,0.2682561012088097 -1139,TAGAATTGTTACAGTATATCAATGTGGATT,NF1,6.48,184.0,0.82201087,1,PLX_2uM,0.6984606470790589 -1140,TGCCATTGTTAGAGGAGCAGCACAAGGCCT,MED12,50.53,1100.0,0.953463203,1,AZD_200nM,0.6908369861988491 -1141,TGCCATTGTTAGAGGAGCAGCACAAGGCCT,MED12,50.53,1100.0,0.946969697,1,PLX_2uM,0.6908369861988491 -1142,CGGCATTTACTCTACCAACTGCTCTGGAAC,NF1,44.28,1257.0,0.7173913040000001,0,PLX_2uM,0.5928429446501906 -1143,TATGATTTCAGTGATGTCTTCAGAGGGAAA,NF1,31.1,883.0,0.49320652200000004,0,PLX_2uM,0.6166870388368089 -1144,TTGAATTTCCTCACAGAAAGCGGCTGGATC,TADA2B,98.33,413.0,0.310526316,0,AZD_200nM,0.3039844436601564 -1145,CCCAATTTCGGGCACCGGCTGCCCCGGCCC,CD15,74.15,393.0,0.10989011,0,nodrug,0.40281230105646226 -1146,AGGTATTTCGTCACCGCCGTGTCCCGGCCC,H2-K,9.21,34.0,0.43195266299999996,0,nodrug,0.49721320448057704 -1147,TATTATTTCTGAAGTGAATGAAGAGGGGTG,CD13,75.49,730.0,0.321978022,0,nodrug,0.48769385234214846 -1148,TAAAATTTGATTTGTTGCAGGTTTTGGTTT,NF1,95.28,2705.0,0.414402174,0,PLX_2uM,0.09343888361633626 -1149,TTTGATTTGGTGTGCCGGACTCTGGGGCTC,NF2,9.08,54.0,0.883408072,1,PLX_2uM,0.6646030661870346 -1150,CAAGCAAAAATATGGGGAAGCCTTGGGCAG,NF1,70.45,2000.0,0.316576087,0,PLX_2uM,0.41369801891893154 -1151,ACGTCAAAACTGGAAGGAATGTTTAGGGAT,CUL3,61.72,474.0,0.13636363599999998,0,PLX_2uM,0.26685672655425363 -1152,TACCCAAAAGAGGGCTTTGTGCAGAGGCGA,NF1,81.44,2312.0,0.345108696,0,PLX_2uM,0.49923681532905495 -1153,CATACAAAAGGAAGATTGCTGATGAGGGCA,CD45,41.95,474.0,0.530685921,0,nodrug,0.533336022814408 -1154,CCACCAAACAGAAGATCTCGCCCTGGGATC,MED12,77.49,1687.0,0.847402597,1,AZD_200nM,0.6023779401543341 -1155,CCACCAAACAGAAGATCTCGCCCTGGGATC,MED12,77.49,1687.0,0.79004329,0,PLX_2uM,0.6023779401543341 -1156,TGCGCAAACAGGTGGCAGGAAACGTGGCAT,NF1,39.84,1131.0,0.23641304300000002,0,PLX_2uM,0.679096903877268 -1157,ACCCCAAACAGTACGACCAACCGCTGGTTG,MED12,34.59,753.0,0.942640693,1,AZD_200nM,0.6823224285750074 -1158,ACCCCAAACAGTACGACCAACCGCTGGTTG,MED12,34.59,753.0,0.926406926,1,PLX_2uM,0.6823224285750074 -1159,CATCCAAACCCAGCGCTGGCCCGGGGGCCT,CD15,54.53,289.0,0.9670329670000001,1,nodrug,0.6484942741945913 -1160,GGCACAAAGACGTCCGAGTCCGCCCGGTAG,CD15,60.75,322.0,0.89010989,1,nodrug,0.5829691996131041 -1161,GTGACAAAGACTTCTGTGTCCAGAAGGGCA,CD45,1.5,17.0,0.519855596,0,nodrug,0.5515987862787236 -1162,TCCTCAAAGAGAACACTGGAACTAGGGTCA,MED12,30.82,671.0,0.18614718600000002,0,AZD_200nM,0.5018587581209524 -1163,TCCTCAAAGAGAACACTGGAACTAGGGTCA,MED12,30.82,671.0,0.213203463,0,PLX_2uM,0.5018587581209524 -1164,TTAGCAAAGATATCTTCAGCAGTGGGGAAG,MED12,37.9,825.0,0.774891775,0,AZD_200nM,0.7022739254902254 -1165,TTAGCAAAGATATCTTCAGCAGTGGGGAAG,MED12,37.9,825.0,0.972943723,1,PLX_2uM,0.7022739254902254 -1166,AATCCAAAGATGGTCAAGGTCGCAAGGTAT,HPRT1,73.85,161.0,0.390625,0,6TG_2ug/mL,0.5743570778031855 -1167,GGCACAAAGCGCTCGTAGTTGGCACGGTCT,CD15,83.96,445.0,0.490842491,0,nodrug,0.5667942394953541 -1168,CAGACAAAGCTGTAGCGGTTAGCAGGGTTC,MED12,48.14,1048.0,0.674242424,0,AZD_200nM,0.6524785365686732 -1169,CAGACAAAGCTGTAGCGGTTAGCAGGGTTC,MED12,48.14,1048.0,0.685064935,0,PLX_2uM,0.6524785365686732 -1170,TGAGCAAAGGCACGGGCAGCCGGAAGGACA,CUL3,1.43,11.0,0.363636364,0,PLX_2uM,0.5885063317509068 -1171,AAGACAAAGTTCACCGCCAGCGCTTGGCAG,TADA1,97.01,325.0,0.091743119,0,AZD_200nM,0.22367641081690612 -1172,GTGTCAAATTCTGTGCCTTGTTGAAGGATT,NF1,41.85,1188.0,0.065217391,0,PLX_2uM,0.3877388290149582 -1173,AAGACAACAAGAGCTCTTGGTTGCAGGGAT,NF1,79.08,2245.0,0.20652173899999998,0,PLX_2uM,0.33338913216768035 -1174,GCCACAACAGCAGTAGCGCCACGAGGGCCA,CD43,67.09,265.0,0.601449275,0,nodrug,0.681092302495382 -1175,TGAACAACAGGAACTCGTTGAAAGGGGTGA,CD45,39.47,446.0,0.78700361,0,nodrug,0.6923905085729659 -1176,TCCTCAACCAGGACCAGATGGCACAGGTCT,MED12,43.41,945.0,0.7673160170000001,0,AZD_200nM,0.6711528670343254 -1177,TCCTCAACCAGGACCAGATGGCACAGGTCT,MED12,43.41,945.0,0.6536796539999999,0,PLX_2uM,0.6711528670343254 -1178,GCTTCAACCCCTCAAAAAGATCCCAGGGCG,MED12,77.58,1689.0,0.819264069,1,AZD_200nM,0.49929371023476943 -1179,GCTTCAACCCCTCAAAAAGATCCCAGGGCG,MED12,77.58,1689.0,0.7283549779999999,0,PLX_2uM,0.49929371023476943 -1180,GGCGCAACGCGTTGCTCGCTGGGGCGGTGC,CD15,81.89,434.0,0.516483516,0,nodrug,0.5221618972489893 -1181,ACTGCAACGCTATCGCCCAGGGCGGGGAGG,CD13,83.14,804.0,0.049450549,0,nodrug,0.4737162717747144 -1182,GCTCCAACGGAGTTCCAGAGTGTGAGGAGA,CD13,79.42,768.0,0.525274725,0,nodrug,0.5812728969345824 -1183,CCCACAACTAGGCTTAGGCGTTTCTGGAAC,CD45,19.12,216.0,0.119133574,0,nodrug,0.09773410798824143 -1184,CTGTCAACTATGATGACGACGACGTGGAGA,TADA2B,46.67,196.0,0.263157895,0,AZD_200nM,0.663469691310173 -1185,TCTTCAACTGGACGCTCTCCTACCGGGCGG,CD15,60.38,320.0,0.934065934,1,nodrug,0.549257945927717 -1186,TAGCCAACTTCACCACCAAGGATGAGGGCG,THY1,61.11,99.0,0.774193548,0,nodrug,0.5414528946879633 -1187,GCTGCAAGAAAAACGTTAGTCTCTTGGCCT,CD45,20.53,232.0,0.061371840999999996,0,nodrug,0.490600949602325 -1188,CAACCAAGAGCTCTTGTTGTCTTTGGGTGT,NF1,79.32,2252.0,0.11548913,0,PLX_2uM,0.2597961133566884 -1189,TCTCCAAGAGGGAGTTCATCTCCTGGGGAG,MED12,63.11,1374.0,0.587662338,0,AZD_200nM,0.5562787945222492 -1190,TCTCCAAGAGGGAGTTCATCTCCTGGGGAG,MED12,63.11,1374.0,0.504329004,0,PLX_2uM,0.5562787945222492 -1191,TCTACAAGAGTAGGATTGGTAGAAGGGTGG,MED12,90.9,1979.0,0.1504329,0,AZD_200nM,0.3185575468400209 -1192,TCTACAAGAGTAGGATTGGTAGAAGGGTGG,MED12,90.9,1979.0,0.13961039,0,PLX_2uM,0.3185575468400209 -1193,AGCGCAAGATCACCAAGGAGGAGAAGGAGC,TADA2B,60.0,252.0,0.173684211,0,AZD_200nM,0.49892908819129145 -1194,GCAGCAAGCACAATACCATTAAAAAGGTAC,NF2,97.14,578.0,0.062780269,0,PLX_2uM,0.08563873661800041 -1195,GGTTCAAGCAGAAGATCAGCAAAGAGGAGT,TADA1,11.94,40.0,0.853211009,1,AZD_200nM,0.7203753119153733 -1196,TGGCCAAGCATGGAGGAAGGCACTCGGGCT,CD45,53.01,599.0,0.61732852,0,nodrug,0.5170881596130992 -1197,AAAACAAGCGTGCATACATGAACCTGGCGA,MED12,74.18,1615.0,0.291125541,0,AZD_200nM,0.5478280355952828 -1198,AAAACAAGCGTGCATACATGAACCTGGCGA,MED12,74.18,1615.0,0.361471861,0,PLX_2uM,0.5478280355952828 -1199,CAAACAAGCTAGATCAAGAAGTACAGGAGG,CD33,22.53,82.0,0.7056277059999999,0,nodrug,0.5468596963897172 -1200,CTACCAAGCTGGGACTTCCAAAGCTGGGAA,NF1,56.36,1600.0,0.956521739,1,PLX_2uM,0.5826440183990881 -1201,GTTTCAAGCTTTCCACCTCAAAACTGGTCA,CD45,23.89,270.0,0.47292418799999997,0,nodrug,0.33548718014664536 -1202,AGGCCAAGGACAGGCCCCTGGGCCTGGGGA,CD5,39.47,195.0,0.071129707,0,nodrug,0.3153703449393545 -1203,TCTACAAGGCCAAGGACAGGCCCCTGGGCC,CD5,39.07,193.0,0.393305439,0,nodrug,0.5046175105406869 -1204,GCATCAAGGCCACAGCGATTCGCACGGAGG,NF2,70.25,418.0,0.304932735,0,PLX_2uM,0.6107568593980874 -1205,TGTACAAGGGCGTGAACAGCGACGTGGAAG,CD28,28.9,63.0,0.716216216,0,nodrug,0.7253199143771605 -1206,GAGACAAGGTGGCTGCCCGGGTGAAGGCCG,CCDC101,56.66,166.0,0.281879195,0,AZD_200nM,0.5015839906672964 -1207,GAGGCAAGTGGTATGACATGCCAAGGGCAA,MED12,39.6,862.0,0.8863636359999999,1,AZD_200nM,0.7204567259167042 -1208,GAGGCAAGTGGTATGACATGCCAAGGGCAA,MED12,39.6,862.0,0.845238095,1,PLX_2uM,0.7204567259167042 -1209,TAGGCAAGTGGTCAAGTGGTGAGCCGGTCT,MED12,18.01,392.0,0.8290043290000001,1,AZD_200nM,0.6075655185062555 -1210,TAGGCAAGTGGTCAAGTGGTGAGCCGGTCT,MED12,18.01,392.0,0.825757576,1,PLX_2uM,0.6075655185062555 -1211,CTAGCAAGTTCTTCATTATAGCTATGGTTT,NF1,34.03,966.0,0.6834239129999999,0,PLX_2uM,0.48266332287943986 -1212,GTGACAATACACAGCATCAATCTTAGGCCA,NF1,15.11,429.0,0.9334239129999999,1,PLX_2uM,0.5551289989494783 -1213,CCCGCAATAGTTTGTTTAAAGAGACGGTCA,CUL3,47.53,365.0,0.42207792200000005,0,PLX_2uM,0.6198976532252279 -1214,TACACAATCAAGGACACAGTGGCCTGGCTC,NF2,12.27,73.0,0.430493274,0,PLX_2uM,0.5998691342974466 -1215,ATGGCAATCCGGAATCCTCTGGAGTGGCAC,NF1,83.41,2368.0,0.591032609,0,PLX_2uM,0.5512726282614986 -1216,ACTACAATCTGGTGCCAGCCTTCCTGGGGA,TADA2B,55.24,232.0,0.005263158,0,AZD_200nM,0.26634430461645325 -1217,TGTTCAATGAAGGGAAAGGACCAAGGGCCA,CD5,18.62,92.0,0.9916317990000001,1,nodrug,0.6647060288199289 -1218,AGGGCAATGAGCAGAGTTTCCGAGTGGACC,H2-K,26.02,96.0,0.976331361,1,nodrug,0.7120392424494197 -1219,GAAACAATGATGTTAAATCTGGTCAGGTAA,NF1,35.08,996.0,0.419836957,0,PLX_2uM,0.5011002659522427 -1220,ACCTCAATGTGACGGGCTATTACCGGGTGA,CD13,65.15,630.0,0.584615385,0,nodrug,0.5776256224259638 -1221,CCCTCAATGTGGCTCAGAGATACGTGGTGG,CCDC101,96.59,283.0,0.11409396,0,AZD_200nM,0.46596672319477317 -1222,AAGACAATTCAGTAGTTTCCAAGGGGGTCA,CD43,19.49,77.0,0.804347826,1,nodrug,0.76590311728773 -1223,ATCACAATTCGTAATAAAGGATCCAGGAGT,NF1,45.86,1302.0,0.672554348,0,PLX_2uM,0.5892986698293234 -1224,GAACCAATTGTAAAGGTGGTTGAAAGGGAA,CUL3,34.51,265.0,1.0,1,PLX_2uM,0.545815315676851 -1225,TGCCCACAACCATGACTGGCGTCATGGGTT,MED12,86.59,1885.0,0.294372294,0,AZD_200nM,0.43481388456620157 -1226,TGCCCACAACCATGACTGGCGTCATGGGTT,MED12,86.59,1885.0,0.29978355,0,PLX_2uM,0.43481388456620157 -1227,TGTGCACAATCATCGCACTGTCAGTGGTGT,CD13,3.1,30.0,0.337362637,0,nodrug,0.5554027096375569 -1228,TCTGCACAATGAGAACTCCGACAGGGGTGG,NF2,95.29,567.0,0.022421525,0,PLX_2uM,0.3244642731159863 -1229,GTGGCACACACTTCGAAGTTGAGGGGGGAA,NF1,47.9,1360.0,0.7826086959999999,0,PLX_2uM,0.6365059166854194 -1230,CTCTCACACTATTCAGGTGATCTCTGGCTG,H2-K,32.25,119.0,0.437869822,0,nodrug,0.3653312254846694 -1231,TTGACACACTTGCAGAAACAGTATTGGCTG,NF1,42.27,1200.0,0.622282609,0,PLX_2uM,0.5011575477662752 -1232,AAGGCACAGAACAACCCTGTCTGCTGGGAT,CD45,88.5,1000.0,0.375451264,0,nodrug,0.43182702071446555 -1233,AGGGCACAGAGCTGCTGCTTGGAGTGGATG,NF2,39.5,235.0,0.7354260090000001,0,PLX_2uM,0.5435340188143651 -1234,AGCACACAGAGGGCTACAATGTGATGGCCT,HPRT1,27.98,61.0,0.765625,0,6TG_2ug/mL,0.6536820750021627 -1235,GGTACACAGAGGTCTTATAAGAGGAGGGTT,MED12,86.91,1892.0,0.5519480520000001,0,AZD_200nM,0.5051175255113753 -1236,GGTACACAGAGGTCTTATAAGAGGAGGGTT,MED12,86.91,1892.0,0.438311688,0,PLX_2uM,0.5051175255113753 -1237,ACTACACAGAGTCAAGATTCAAACAGGTAT,CUL3,87.89,675.0,0.233766234,0,PLX_2uM,0.36102278556857925 -1238,CCACCACAGATGCCCACTTCTGGAAGGTTC,H2-K,71.27,263.0,0.911242604,1,nodrug,0.627826327039868 -1239,GCAGCACAGCGAATCAGATCTTCCAGGAGC,MED12,52.55,1144.0,0.8636363640000001,1,AZD_200nM,0.5417941737200566 -1240,GCAGCACAGCGAATCAGATCTTCCAGGAGC,MED12,52.55,1144.0,0.908008658,1,PLX_2uM,0.5417941737200566 -1241,AGGCCACAGCGATTCGCACGGAGGAGGAGA,NF2,70.59,420.0,0.914798206,1,PLX_2uM,0.5167754840447933 -1242,AATTCACAGTAATGTTCCCAAACATGGCAG,CD45,3.89,44.0,0.292418773,0,nodrug,0.4989792358320349 -1243,AGGACACAGTGGCCTGGCTCAAAATGGACA,NF2,12.77,76.0,0.20179372199999998,0,PLX_2uM,0.3385770570907991 -1244,TTGTCACAGTGGTGGGGGGTGCACTGGTTC,CD43,39.75,157.0,0.19565217399999998,0,nodrug,0.3392844939932278 -1245,AGGGCACATAAGCAGGTCACTAAAGGGAGT,MED12,15.94,347.0,0.33658008700000003,0,AZD_200nM,0.47630428795419893 -1246,AGGGCACATAAGCAGGTCACTAAAGGGAGT,MED12,15.94,347.0,0.338744589,0,PLX_2uM,0.47630428795419893 -1247,CTGCCACATACCTGCTGGGAACGCTGGGTG,CD5,3.24,16.0,0.569037657,0,nodrug,0.4833373566540028 -1248,CTGCCACATCAAGGGAATTGTTGAAGGACA,NF1,73.65,2091.0,0.9089673909999999,1,PLX_2uM,0.49940773977196024 -1249,ATATCACATCCTACCCCGTAAAAAAGGAGA,NF1,22.09,627.0,0.157608696,0,PLX_2uM,0.25914640133399713 -1250,ATTACACATGCCATGTGTACCATCAGGGGC,H2-K,76.96,284.0,0.289940828,0,nodrug,0.40845360887556414 -1251,TTAACACATGTCCCTGGACTGAGGTGGGCA,MED12,66.05,1438.0,0.667748918,0,AZD_200nM,0.621797100397793 -1252,TTAACACATGTCCCTGGACTGAGGTGGGCA,MED12,66.05,1438.0,0.8290043290000001,1,PLX_2uM,0.621797100397793 -1253,CAAGCACATTGCCGTCACTTATGAAGGAAA,NF1,52.8,1499.0,0.02173913,0,PLX_2uM,0.4968257474530409 -1254,TGATCACCAAACACAAGTGGGAGCAGGCTG,H2-K,45.8,169.0,0.8579881659999999,1,nodrug,0.5242830834345676 -1255,CTCCCACCACAGCAGCACGCCCACCGGTCG,CD15,35.85,190.0,0.893772894,1,nodrug,0.6366351693010318 -1256,ATGACACCACAGCATCATCATCTGAGGAGA,MED12,22.92,499.0,0.7867965370000001,0,AZD_200nM,0.6933072016376097 -1257,ATGACACCACAGCATCATCATCTGAGGAGA,MED12,22.92,499.0,0.758658009,0,PLX_2uM,0.6933072016376097 -1258,CTGTCACCACAGCTACTGGGTCTCTGGGGC,CD43,48.86,193.0,0.166666667,0,nodrug,0.25847744631259595 -1259,AAACCACCACCAAGGCAATAAGCATGGGCA,CD43,64.56,255.0,0.768115942,0,nodrug,0.5908237141823098 -1260,GCCTCACCACCCCGCTGCCCCCGCTGGACA,TADA2B,36.43,153.0,0.30526315800000003,0,AZD_200nM,0.43361333954364645 -1261,TTTCCACCACCGCGACCTCGTGAAGGGGCC,CD15,45.85,243.0,0.721611722,0,nodrug,0.5046570435087128 -1262,TGCTCACCACGACGCCAGGGCTGCGGGTCG,HPRT1,2.29,5.0,0.609375,0,6TG_2ug/mL,0.43974034860123407 -1263,TGTGCACCAGCAGGCCCCCACCTATGGACA,MED12,92.1,2005.0,0.298701299,0,AZD_200nM,0.32913800729700665 -1264,TGTGCACCAGCAGGCCCCCACCTATGGACA,MED12,92.1,2005.0,0.287878788,0,PLX_2uM,0.32913800729700665 -1265,AGTTCACCAGCATTAAGGAGTGAAGGGATG,MED12,53.01,1154.0,0.9491341990000001,1,AZD_200nM,0.641010010434644 -1266,AGTTCACCAGCATTAAGGAGTGAAGGGATG,MED12,53.01,1154.0,0.916666667,1,PLX_2uM,0.641010010434644 -1267,GGGACACCAGCTCCTGCAGAGCTGAGGGAC,CD5,45.95,227.0,0.20502092100000002,0,nodrug,0.5261339776695648 -1268,AATTCACCAGCTGGCCAGACCATGGGGTTC,CD45,57.35,648.0,0.790613718,0,nodrug,0.6226808362732105 -1269,GGTTCACCAGGCAGGCTGTCAGGCTGGTCA,THY1,15.43,25.0,0.290322581,0,nodrug,0.5327998740083851 -1270,TTGTCACCAGGCTTCCCGATCCACAGGGGC,CCDC101,45.39,133.0,0.308724832,0,AZD_200nM,0.4434145604452008 -1271,AGGTCACCAGTCCCCAGTTCTCCATGGCGC,CD13,36.71,355.0,0.7813186809999999,0,nodrug,0.5529296013999785 -1272,GTGGCACCATCCTCTACAAGGCCAAGGACA,CD5,38.26,189.0,0.464435146,0,nodrug,0.6283287028635427 -1273,AGAACACCATCTACCTGAACCTGTGGGACC,CD13,53.46,517.0,0.479120879,0,nodrug,0.6765046945803447 -1274,CCCCCACCCAAGGAGAAGATTGAAGGGACC,MED12,33.03,719.0,0.478354978,0,AZD_200nM,0.6027571120171871 -1275,CCCCCACCCAAGGAGAAGATTGAAGGGACC,MED12,33.03,719.0,0.472943723,0,PLX_2uM,0.6027571120171871 -1276,GCAGCACCCAGCAGACCACGGAGTGGGCCA,MED12,71.47,1556.0,0.696969697,0,AZD_200nM,0.5593321174090994 -1277,GCAGCACCCAGCAGACCACGGAGTGGGCCA,MED12,71.47,1556.0,0.69047619,0,PLX_2uM,0.5593321174090994 -1278,CAACCACCCCACCCACCACCGTGCCGGAGC,CD5,30.36,150.0,0.238493724,0,nodrug,0.5305445826155897 -1279,AAGCCACCCCGGCGACCCGCCCTCAGGCCT,CD15,64.72,343.0,0.58974359,0,nodrug,0.4960525015300145 -1280,AGGCCACCCCTTCCAGACTGTCCGAGGCAG,CD5,4.66,23.0,0.8242677820000001,1,nodrug,0.6131023117413477 -1281,TGACCACCCGCTCCTTGTTGCTGCTGGAGG,CD13,38.99,377.0,0.074725275,0,nodrug,0.35185354596919666 -1282,ACTACACCCTCAGCCAGGGGCACAGGGTGG,CD13,13.96,135.0,0.645054945,0,nodrug,0.6110157078506789 -1283,AAGTCACCCTGAGGTGCTGGGCCCTGGGCT,H2-K,61.25,226.0,0.065088757,0,nodrug,0.215399230844711 -1284,GGACCACCCTGTGCCCCTGGCTGAGGGTGT,CD13,13.65,132.0,0.567032967,0,nodrug,0.489365307770196 -1285,TGAGCACCGAGGAGTGAGTAGTCCTGGGGC,CD33,52.47,191.0,0.582251082,0,nodrug,0.47046991350559697 -1286,CACTCACCGGGGAGGCTGACCCTGTGGTAG,CD33,83.52,304.0,0.134199134,0,nodrug,0.5610578503266392 -1287,GGCTCACCGGGTACGTGGGCTTGGTGGCAA,NF2,80.34,478.0,1.0,1,PLX_2uM,0.5350422349096835 -1288,CCAGCACCGTCCGTTTCACCTGCAAGGAGG,CD13,11.69,113.0,0.598901099,0,nodrug,0.560723969159633 -1289,CGTTCACCGTGAGGATCGTCACCATGGACG,NF2,4.71,28.0,0.816143498,1,PLX_2uM,0.6141462452498088 -1290,TGTGCACCTCAGGCCTTCGTGTCCTGGCAC,CD5,33.4,165.0,0.355648536,0,nodrug,0.3905551655281849 -1291,TTGCCACCTCTACATCATGGGGCAAGGGCC,MED12,10.24,223.0,0.823593074,1,AZD_200nM,0.5595391952472099 -1292,TTGCCACCTCTACATCATGGGGCAAGGGCC,MED12,10.24,223.0,0.8019480520000001,1,PLX_2uM,0.5595391952472099 -1293,CCGCCACCTGCAACAGCGGCCCAGTGGCTA,MED12,91.64,1995.0,0.30194805199999997,0,AZD_200nM,0.3656673986773969 -1294,CCGCCACCTGCAACAGCGGCCCAGTGGCTA,MED12,91.64,1995.0,0.26623376600000004,0,PLX_2uM,0.3656673986773969 -1295,AGTTCACCTTAACCATTGCAAACCAGGGCA,NF1,63.58,1805.0,0.692934783,0,PLX_2uM,0.5002787574140359 -1296,CTCACACCTTGCAGATCCGGATCTGGGCCC,CD13,31.23,302.0,0.276923077,0,nodrug,0.4674675523224119 -1297,AGGACACGAAGGCCTGAGGTGCACAGGTGT,CD5,34.41,170.0,0.70292887,0,nodrug,0.5102398131534863 -1298,CCTTCACGACAGGTGTGAAGAAAATGGCAG,NF1,4.23,120.0,0.294836957,0,PLX_2uM,0.34869139508007385 -1299,GTCACACGATGTGAAGAAGGAAACAGGGTA,CD45,51.68,584.0,0.30324909699999997,0,nodrug,0.3874087393208146 -1300,ACTCCACGCACGTGCCCTCCAGGTAGGCCC,H2-K,49.05,181.0,0.48520710100000003,0,nodrug,0.6592537038502475 -1301,GCAGCACGCCCACCGGTCGCGACGGGGTTG,CD15,35.09,186.0,0.384615385,0,nodrug,0.582624893242238 -1302,CCAACACGCGCAGATCCACCTCCTCGGCAG,CD15,49.43,262.0,0.256410256,0,nodrug,0.6011684692717117 -1303,CTGTCACGCGGTTGGGGATGGTGTCGGGGA,TADA2B,30.24,127.0,0.247368421,0,AZD_200nM,0.3851175406316291 -1304,CGTGCACGCTGCTCCTGCTGTTGGCGGCCG,H2-K,2.71,10.0,0.579881657,0,nodrug,0.49819737143532383 -1305,AAAGCACGGCCTGAGCCTCTCCGTAGGACG,CD15,43.4,230.0,0.875457875,1,nodrug,0.7121703539442156 -1306,CTACCACGGCTACCAGCTGGTGGACGGCGG,TADA2B,12.86,54.0,0.736842105,0,AZD_200nM,0.576515832556258 -1307,CCCGCACGGTGGTGGGGAGTTGGATGGACC,CD13,54.91,531.0,0.5527472529999999,0,nodrug,0.4877426330416329 -1308,GAAGCACGTGCTCTCAGGCACCCTTGGGAT,THY1,41.36,67.0,0.225806452,0,nodrug,0.4187911458728649 -1309,AGAGCACGTGCTTCCTCTTCTCTCGGGTCA,THY1,35.8,58.0,0.306451613,0,nodrug,0.517372863189382 -1310,CGTCCACGTGGATGAAGGCGCCGCGGGGCA,CD15,85.66,454.0,0.747252747,0,nodrug,0.4492216260173073 -1311,AGGACACTAAAGGAGACTCAGCCATGGTCC,NF1,87.81,2493.0,0.408967391,0,PLX_2uM,0.5711596163279067 -1312,CAGCCACTCACCTGCCCACAGCAGGGGCAG,CD33,2.75,10.0,0.571428571,0,nodrug,0.6347711073255119 -1313,GGAGCACTCACCTGGCCAGGTTGAAGGCGT,CD13,68.98,667.0,0.45274725299999996,0,nodrug,0.4124725968902331 -1314,GCAGCACTCCAGGGTAAGTTGGTCGGGTGG,MED12,85.99,1872.0,0.43722943700000005,0,AZD_200nM,0.4296908887990336 -1315,GCAGCACTCCAGGGTAAGTTGGTCGGGTGG,MED12,85.99,1872.0,0.48376623399999996,0,PLX_2uM,0.4296908887990336 -1316,CCCACACTCTCCTTACCCCATCTCAGGGTG,H2-K,79.67,294.0,0.124260355,0,nodrug,0.33764319342898425 -1317,CACACACTGCTGCCCCCGACCAGGCGGCTC,CD5,56.28,278.0,0.920502092,1,nodrug,0.6605866280656736 -1318,AAGGCACTGCTGTGCCAGTCTTGCAGGTGT,THY1,8.64,14.0,0.016129031999999998,0,nodrug,0.2834255054866802 -1319,GATACACTGGAAAAATGTCTTGCTGGGGTA,NF1,3.35,95.0,0.657608696,0,PLX_2uM,0.48249266628006193 -1320,TAGCCACTGGGCCGCTGTTGCAGGTGGCGG,MED12,91.46,1991.0,0.21645021600000003,0,AZD_200nM,0.3019067158806132 -1321,TAGCCACTGGGCCGCTGTTGCAGGTGGCGG,MED12,91.46,1991.0,0.123376623,0,PLX_2uM,0.3019067158806132 -1322,ATGGCACTGGGCCGGGCCCAGATCCGGATC,CD13,31.23,302.0,0.14285714300000002,0,nodrug,0.35956327952450173 -1323,TGGTCACTGTGATTGCTCATGAGCTGGCCC,CD13,40.23,389.0,0.091208791,0,nodrug,0.39663389264883075 -1324,ACCCCACTTCCAGAAGACCCCAACTGGAAT,CD13,27.2,263.0,0.057142857000000005,0,nodrug,0.3829593059646108 -1325,CCCCCACTTCCTGCAGGCCCTGGCCGGTAG,MED12,9.51,207.0,0.41017316,0,AZD_200nM,0.43815883115325405 -1326,CCCCCACTTCCTGCAGGCCCTGGCCGGTAG,MED12,9.51,207.0,0.451298701,0,PLX_2uM,0.43815883115325405 -1327,GAGGCACTTGGGAAGTCGTCCACGTGGATG,CD15,86.6,459.0,0.9487179490000001,1,nodrug,0.6170791697122726 -1328,CTTCCAGAAAACAACGGCCCAGGAGGGCGG,CD5,52.02,257.0,0.774058577,0,nodrug,0.6568502895292823 -1329,CTTGCAGAAACAGTATTGGCTGATCGGTTT,NF1,42.37,1203.0,0.308423913,0,PLX_2uM,0.5724775123788899 -1330,CTCACAGAAAGCGGCTGGATCTCCAGGGAC,TADA2B,99.05,416.0,0.205263158,0,AZD_200nM,0.13672870596732142 -1331,AGCACAGAAATTCTCAAGTGGTTGCGGGAA,NF1,21.13,600.0,0.148097826,0,PLX_2uM,0.39574592059170116 -1332,CCCTCAGAACAGCATCGGTGCAGTAGGAAG,NF1,49.45,1404.0,0.625,0,PLX_2uM,0.6350493664274147 -1333,CACCCAGAACCAGCCACTACCTGCAGGTGA,MED12,84.93,1849.0,0.7976190479999999,0,AZD_200nM,0.5736707754233185 -1334,CACCCAGAACCAGCCACTACCTGCAGGTGA,MED12,84.93,1849.0,0.819264069,1,PLX_2uM,0.5736707754233185 -1335,ACCCCAGAACCAGGTCTTCTGCCAAGGATC,CD5,21.46,106.0,0.31380753100000003,0,nodrug,0.6076190139819487 -1336,GGTTCAGAACCTTCAAGATATCCTTGGTGA,MED12,35.69,777.0,0.480519481,0,AZD_200nM,0.5062272608167058 -1337,GGTTCAGAACCTTCAAGATATCCTTGGTGA,MED12,35.69,777.0,0.5173160170000001,0,PLX_2uM,0.5062272608167058 -1338,AGGCCAGAATTGCTTCTCTGCTGGAGGCAC,NF1,30.05,853.0,0.301630435,0,PLX_2uM,0.5985343951856418 -1339,ATATCAGACACAAAGGCTCCTAAAAGGCAA,NF1,90.0,2555.0,0.45380434799999997,0,PLX_2uM,0.2495320804176137 -1340,TGGTCAGACATACCTGCTGAGTGAAGGCAC,MED12,19.02,414.0,0.956709957,1,AZD_200nM,0.6903622582719724 -1341,TGGTCAGACATACCTGCTGAGTGAAGGCAC,MED12,19.02,414.0,0.92965368,1,PLX_2uM,0.6903622582719724 -1342,TGGACAGACATGAGTTCCTGACCTGGGTGC,MED12,11.76,256.0,0.945887446,1,AZD_200nM,0.6906347125033477 -1343,TGGACAGACATGAGTTCCTGACCTGGGTGC,MED12,11.76,256.0,0.88961039,1,PLX_2uM,0.6906347125033477 -1344,CCATCAGAGATGGCAGACAGCAGCAGGACT,CD13,61.74,597.0,0.431868132,0,nodrug,0.5232967538694323 -1345,TACGCAGAGCACCGAGGCCGAGCCAGGTGA,NF2,33.45,199.0,0.183856502,0,PLX_2uM,0.4801438338427459 -1346,AGACCAGAGCAGGAGTGGTTCATGGGGCCA,CD33,71.15,259.0,0.7510822509999999,0,nodrug,0.6267679725279843 -1347,TCAGCAGAGCGAACAAAAGTCCTAGGGCAA,NF1,62.45,1773.0,0.733695652,0,PLX_2uM,0.6887478036339806 -1348,TACACAGAGCGTGGCCTACTTAGCAGGTAA,NF1,85.91,2439.0,0.145380435,0,PLX_2uM,0.46342200991068455 -1349,GCGCCAGAGGCAAAAGCGGAGGACTGGGGC,CD43,70.38,278.0,0.224637681,0,nodrug,0.3523334602943933 -1350,GCGCCAGAGTGACAGGGACCTTATGGGCAC,CD13,69.6,673.0,0.134065934,0,nodrug,0.4490339236484997 -1351,CTGGCAGAGTTGTCTCACCTTGGCAGGATT,MED12,3.12,68.0,0.255411255,0,AZD_200nM,0.42405825146072385 -1352,CTGGCAGAGTTGTCTCACCTTGGCAGGATT,MED12,3.12,68.0,0.257575758,0,PLX_2uM,0.42405825146072385 -1353,TCTCCAGATATGACCATGGGTTTGTGGCTC,CD45,0.44,5.0,0.6714801440000001,0,nodrug,0.42054891275176015 -1354,GGAGCAGATCACGAGCTTTGCCCTTGGCAT,MED12,39.5,860.0,0.626623377,0,AZD_200nM,0.557890739199223 -1355,GGAGCAGATCACGAGCTTTGCCCTTGGCAT,MED12,39.5,860.0,0.7207792209999999,0,PLX_2uM,0.557890739199223 -1356,GGACCAGATGGCACAGGTCTTTGAGGGGTA,MED12,43.55,948.0,0.670995671,0,AZD_200nM,0.5854354026476677 -1357,GGACCAGATGGCACAGGTCTTTGAGGGGTA,MED12,43.55,948.0,0.623376623,0,PLX_2uM,0.5854354026476677 -1358,TTTTCAGATTAGTGATGATGAACCAGGTTA,HPRT1,6.42,14.0,0.515625,0,6TG_2ug/mL,0.5309841568161493 -1359,GCCACAGATTCTCCAGCTATGTATCGGGAA,NF2,50.42,300.0,0.793721973,0,PLX_2uM,0.5541807408457639 -1360,TGACCAGCAAAGAAGTTAAGGATGGGGCCC,CD13,33.51,324.0,0.771428571,0,nodrug,0.6069951234932531 -1361,ATTGCAGCAACACACAGGCCCTGCAGGTAC,MED12,89.99,1959.0,0.25974026,0,AZD_200nM,0.33674501795139805 -1362,ATTGCAGCAACACACAGGCCCTGCAGGTAC,MED12,89.99,1959.0,0.255411255,0,PLX_2uM,0.33674501795139805 -1363,GCAGCAGCAACCTGCGGTGCCCCAAGGACA,MED12,87.55,1906.0,0.673160173,0,AZD_200nM,0.5006231879437798 -1364,GCAGCAGCAACCTGCGGTGCCCCAAGGACA,MED12,87.55,1906.0,0.696969697,0,PLX_2uM,0.5006231879437798 -1365,AGGCCAGCAAGTACGTGGACATCTTGGGCG,CD13,28.44,275.0,0.24065934100000003,0,nodrug,0.41875757490913634 -1366,TTCACAGCAATTTAGATGAACAACAGGAAC,CD45,39.03,441.0,0.227436823,0,nodrug,0.38813709105120686 -1367,TCTTCAGCACATCAGGCAATGAGTGGGTCC,CD13,63.91,618.0,0.950549451,1,nodrug,0.6849451300206325 -1368,CCAGCAGCACCACCAGGAGTACAAGGGTCA,CD5,78.34,387.0,0.8368200840000001,1,nodrug,0.6792052708569737 -1369,CCGTCAGCACCACTCTCTTGGGGCTGGTTT,MED12,78.23,1703.0,0.44047619,0,AZD_200nM,0.40107114057484544 -1370,CCGTCAGCACCACTCTCTTGGGGCTGGTTT,MED12,78.23,1703.0,0.46861471899999996,0,PLX_2uM,0.40107114057484544 -1371,ATACCAGCACGGGGACCCTTTCCCAGGAGC,CD13,58.12,562.0,0.556043956,0,nodrug,0.5134211611306465 -1372,CCAGCAGCACTTCGTGGGAGTCCATGGATA,CD5,0.4,2.0,0.251046025,0,nodrug,0.4753182374159859 -1373,CCTCCAGCAGCAACAAGGAGCGGGTGGTCA,CD13,39.4,381.0,0.7109890109999999,0,nodrug,0.6984376452122599 -1374,CAGTCAGCAGCCGCTCATGATACTTGGTGT,NF1,59.6,1692.0,0.663043478,0,PLX_2uM,0.48652192266040395 -1375,CCAGCAGCAGCTGCTCCTCGCGACTGGTCC,TADA2B,17.38,73.0,0.7473684209999999,0,AZD_200nM,0.47608532505333273 -1376,CGAACAGCAGGGAGTTCTCCCGGTAGGTCA,CD13,37.54,363.0,0.643956044,0,nodrug,0.7042629318731324 -1377,CAGCCAGCAGGTGGCGGTCGCAGGAGGAGC,MED12,55.26,1203.0,0.525974026,0,AZD_200nM,0.6083979777696932 -1378,CAGCCAGCAGGTGGCGGTCGCAGGAGGAGC,MED12,55.26,1203.0,0.49350649399999996,0,PLX_2uM,0.6083979777696932 -1379,CCCTCAGCATCCTTCGGAAAGCTCTGGACA,CCDC101,27.3,80.0,0.9865771809999999,1,AZD_200nM,0.5258954611816465 -1380,TGCTCAGCCACAGAGATGTCCAGCGGGGGC,TADA2B,36.67,154.0,0.842105263,1,AZD_200nM,0.5599428829658033 -1381,AGCACAGCCACAGCTACCCAAAAGAGGGCT,NF1,81.58,2316.0,0.792119565,0,PLX_2uM,0.5522387543807151 -1382,AGGACAGCCACGATGCACAGGCACAGGCTA,MED12,42.4,923.0,0.488095238,0,AZD_200nM,0.6413480838573791 -1383,AGGACAGCCACGATGCACAGGCACAGGCTA,MED12,42.4,923.0,0.590909091,0,PLX_2uM,0.6413480838573791 -1384,AAAGCAGCCAGGACAGCAGTGGGCAGGAAT,CD33,81.04,295.0,0.25974026,0,nodrug,0.4683114672983838 -1385,TCTGCAGCCAGGGGCCGGGGACGGTGGGAA,CD5,62.96,311.0,0.133891213,0,nodrug,0.36078325008891243 -1386,GACTCAGCCATGGTCCTCTCCCAAAGGTTC,NF1,87.95,2497.0,0.426630435,0,PLX_2uM,0.5227843400556539 -1387,GCCACAGCCCAGTACCAACATATTTGGACG,MED12,99.82,2173.0,0.090909091,0,AZD_200nM,0.0929109466382314 -1388,GCCACAGCCCAGTACCAACATATTTGGACG,MED12,99.82,2173.0,0.100649351,0,PLX_2uM,0.0929109466382314 -1389,ATTCCAGCCTCAAAATCCTCTCTCAGGAGC,TADA1,35.52,119.0,0.605504587,0,AZD_200nM,0.5530772221718968 -1390,CCAGCAGCCTTTAACACATGTCCCTGGACT,MED12,66.19,1441.0,0.604978355,0,AZD_200nM,0.6131539673679266 -1391,CCAGCAGCCTTTAACACATGTCCCTGGACT,MED12,66.19,1441.0,0.47943722899999996,0,PLX_2uM,0.6131539673679266 -1392,TGGACAGCGAGTTCGAGGGGGAGTTGGCAG,CD13,19.13,185.0,0.7109890109999999,0,nodrug,0.5395319999661671 -1393,TGCCCAGCGCATATTTGATTCCGATGGCTC,MED12,46.49,1012.0,0.277056277,0,AZD_200nM,0.5287808359730537 -1394,TGCCCAGCGCATATTTGATTCCGATGGCTC,MED12,46.49,1012.0,0.298701299,0,PLX_2uM,0.5287808359730537 -1395,TGATCAGCGCCGTACACGTCAAGCCGGCGG,CD15,30.38,161.0,0.395604396,0,nodrug,0.5943863225837345 -1396,AACCCAGCGCTGGCCCGGGGGCCTGGGGCT,CD15,54.15,287.0,0.025641026,0,nodrug,0.1617317734431619 -1397,CCGCCAGCGCTTGGCAGCCAAGGAGGGGCT,TADA1,98.21,329.0,0.376146789,0,AZD_200nM,0.28924367891711744 -1398,CAACCAGCGGTTGGTCGTACTGTTTGGGGT,MED12,34.77,757.0,0.340909091,0,AZD_200nM,0.31642867633274663 -1399,CAACCAGCGGTTGGTCGTACTGTTTGGGGT,MED12,34.77,757.0,0.291125541,0,PLX_2uM,0.31642867633274663 -1400,TGGACAGCGTAGCTCCGGCGCCAGTGGAAG,CD15,92.08,488.0,0.274725275,0,nodrug,0.42915910049813966 -1401,GTCTCAGCGTCACCCGGTAGGAATCGGGTT,CD13,8.69,84.0,0.302197802,0,nodrug,0.4482065937272441 -1402,CACCCAGCGTTCCCAGCAGGTATGTGGCAG,CD5,2.43,12.0,0.9414225940000001,1,nodrug,0.6454799010693402 -1403,CCAGCAGCTACCTGGGGCTGGGACTGGGGC,MED12,97.98,2133.0,0.10281385300000001,0,AZD_200nM,-0.016217465146224214 -1404,CCAGCAGCTACCTGGGGCTGGGACTGGGGC,MED12,97.98,2133.0,0.038961038999999996,0,PLX_2uM,-0.016217465146224214 -1405,CCACCAGCTCAGTCTTGTCAATGTCGGGGG,CD13,15.51,150.0,0.5043956039999999,0,nodrug,0.5786273506303355 -1406,GGCACAGCTCGATGTCCTGGCACTCGGTGC,TADA2B,6.19,26.0,0.6315789470000001,0,AZD_200nM,0.5092849674389768 -1407,TCCCCAGCTCTCTGTGCATGTGACAGGTGA,CD33,37.91,138.0,0.38311688299999996,0,nodrug,0.4565212821006466 -1408,CAGGCAGCTCTTCCCCTTTCCATGTGGTAC,CD45,84.16,951.0,0.9025270759999999,1,nodrug,0.553070329559291 -1409,GATACAGCTGAGGCCAAAAACCAGGGGCCG,MED12,16.49,359.0,0.927489177,1,AZD_200nM,0.7499605874009088 -1410,GATACAGCTGAGGCCAAAAACCAGGGGCCG,MED12,16.49,359.0,0.943722944,1,PLX_2uM,0.7499605874009088 -1411,GCGGCAGCTGCCCCCAGCAAGCGTAGGTGA,CD15,32.08,170.0,0.7692307690000001,0,nodrug,0.6165344097883546 -1412,TGGGCAGCTGGCTTACCAAGTTCCAGGTGG,CD13,44.47,430.0,0.349450549,0,nodrug,0.41401805977339523 -1413,ATTGCAGCTGGTGCCAGGACACGAAGGCCT,CD5,33.4,165.0,0.80334728,1,nodrug,0.6858751303882463 -1414,ATCTCAGCTGTTTGCACACTGCAGAGGCCT,CD5,15.79,78.0,0.6736401670000001,0,nodrug,0.6342438162187013 -1415,AGTCCAGCTTACCAGAGCAGATGACGGTGA,CD5,53.85,266.0,0.7824267779999999,0,nodrug,0.7047437785550966 -1416,TTGTCAGCTTCCTCAGGAATGGGTAGGAGA,MED12,59.3,1291.0,0.5995670999999999,0,AZD_200nM,0.6660998239030218 -1417,TTGTCAGCTTCCTCAGGAATGGGTAGGAGA,MED12,59.3,1291.0,0.54004329,0,PLX_2uM,0.6660998239030218 -1418,TTCCCAGCTTTGGAAGTCCCAGCTTGGTAG,NF1,56.22,1596.0,0.729619565,0,PLX_2uM,0.5928596681946989 -1419,GAAACAGGAAGATGGATCTGAAGTTGGTGT,CUL3,74.74,574.0,0.824675325,1,PLX_2uM,0.5739958768426772 -1420,CCTACAGGAATGGATCAACATGACTGGCTT,NF1,29.59,840.0,0.881793478,1,PLX_2uM,0.5767886862969934 -1421,CAAACAGGACCGAGTAGTCATCCTGGGGCT,CCDC101,88.05,258.0,0.852348993,1,AZD_200nM,0.5225236836571212 -1422,CACACAGGACTATGGAATGGGCCCGGGTCG,MED12,82.91,1805.0,0.50974026,0,AZD_200nM,0.578516779544059 -1423,CACACAGGACTATGGAATGGGCCCGGGTCG,MED12,82.91,1805.0,0.568181818,0,PLX_2uM,0.578516779544059 -1424,GAGCCAGGAGAGAATGACCTGTCCCGGTAA,NF1,76.93,2184.0,0.472826087,0,PLX_2uM,0.47037758051593154 -1425,ACTGCAGGAGGACATCCTGGAAAATGGGAG,MED12,26.0,566.0,0.24025974,0,AZD_200nM,0.28390879133081154 -1426,ACTGCAGGAGGACATCCTGGAAAATGGGAG,MED12,26.0,566.0,0.212121212,0,PLX_2uM,0.28390879133081154 -1427,GGTCCAGGCACTACTCACATTGTTAGGGGT,MED12,63.07,1373.0,0.188311688,0,AZD_200nM,0.3192471906322427 -1428,GGTCCAGGCACTACTCACATTGTTAGGGGT,MED12,63.07,1373.0,0.140692641,0,PLX_2uM,0.3192471906322427 -1429,TGGTCAGGCAGTATAATCCAAAGATGGTCA,HPRT1,71.56,156.0,0.90625,1,6TG_2ug/mL,0.5721870160140159 -1430,TCCCCAGGCCCAGGGGCCTGTCCTTGGCCT,CD5,38.66,191.0,0.046025105,0,nodrug,0.3631712538784573 -1431,CTCACAGGCCCCCACCCCTCTGTGGGGCCA,CCDC101,49.49,145.0,0.577181208,0,AZD_200nM,0.6359203231108551 -1432,CCAGCAGGCCCCCACCTATGGACATGGACT,MED12,92.19,2007.0,0.23051948100000003,0,AZD_200nM,0.3356828093076941 -1433,CCAGCAGGCCCCCACCTATGGACATGGACT,MED12,92.19,2007.0,0.243506494,0,PLX_2uM,0.3356828093076941 -1434,GCCCCAGGCCCCCGGGCCAGCGCTGGGTTT,CD15,54.91,291.0,0.117216117,0,nodrug,0.35142364044041374 -1435,ACCCCAGGCCCTTGCCAATTCGATGGGAGG,CD5,47.77,236.0,0.44351464399999996,0,nodrug,0.5532937544464847 -1436,CGCACAGGCCGGTGGAATGGGTCCAGGCCG,NF1,0.35,10.0,0.8410326090000001,1,PLX_2uM,0.5096887862734244 -1437,GGGCCAGGCCTGAGGGCGGGTCGCCGGGGT,CD15,64.34,341.0,0.296703297,0,nodrug,0.26447569579568975 -1438,GGAGCAGGCGGCTCCTCATCTTCTGGGGGC,MED12,80.25,1747.0,0.11255411300000001,0,AZD_200nM,0.262036701383514 -1439,GGAGCAGGCGGCTCCTCATCTTCTGGGGGC,MED12,80.25,1747.0,0.185064935,0,PLX_2uM,0.262036701383514 -1440,GGGTCAGGCTGAACTCATGCTGGATGGAGT,THY1,30.86,50.0,0.33870967700000004,0,nodrug,0.5725472549801596 -1441,AGCACAGGGAGCAGTAAAAGCTGGAGGGCT,TADA1,69.85,234.0,0.7431192659999999,0,AZD_200nM,0.6280657371170987 -1442,TGCTCAGGGAGCAGTTGTTCCTACTGGGAT,CD33,26.92,98.0,0.279220779,0,nodrug,0.3868611803549753 -1443,GACTCAGGGCAGATTCCGCCTCCTTGGGGA,CD33,25.27,92.0,0.11904761900000001,0,nodrug,0.4144011073999269 -1444,GCCCCAGGGCGGGGGCCAGTCGGGGGGCCC,CD15,46.79,248.0,0.223443223,0,nodrug,0.3993508212177314 -1445,GGCACAGGGTGGTCCTGCGTGGTGTGGGAG,CD13,14.58,141.0,0.196703297,0,nodrug,0.4010020030830219 -1446,GAACCAGGGTTTGGGTGGTGCAGGAGGTCC,MED12,83.65,1821.0,0.37770562799999996,0,AZD_200nM,0.41780418337914454 -1447,GAACCAGGGTTTGGGTGGTGCAGGAGGTCC,MED12,83.65,1821.0,0.333333333,0,PLX_2uM,0.41780418337914454 -1448,GCTCCAGGTAATAGGCGCGGGGCCGGGGCC,MED12,79.65,1734.0,0.166666667,0,AZD_200nM,0.23757896350642602 -1449,GCTCCAGGTAATAGGCGCGGGGCCGGGGCC,MED12,79.65,1734.0,0.17424242399999998,0,PLX_2uM,0.23757896350642602 -1450,GGAACAGGTACCTTGCTAAGAATACGGATT,NF1,79.96,2270.0,0.611413043,0,PLX_2uM,0.47457938487270956 -1451,AAAGCAGGTACGAGGCCAGGGAGGAGGCAC,CD15,88.11,467.0,0.388278388,0,nodrug,0.4751580471469082 -1452,GGTTCAGGTAGATGGTGTTCTGGTAGGCAA,CD13,52.74,510.0,0.7384615379999999,0,nodrug,0.6574984457872481 -1453,TGCTCAGGTAGGATGGCTGTTGAACGGACG,MED12,93.89,2044.0,0.20129870100000002,0,AZD_200nM,0.3255287022449201 -1454,TGCTCAGGTAGGATGGCTGTTGAACGGACG,MED12,93.89,2044.0,0.18939393899999998,0,PLX_2uM,0.3255287022449201 -1455,TAAGCAGGTCACTAAAGGGAGTCGAGGGTG,MED12,15.8,344.0,0.494588745,0,AZD_200nM,0.6322984999504778 -1456,TAAGCAGGTCACTAAAGGGAGTCGAGGGTG,MED12,15.8,344.0,0.46969697,0,PLX_2uM,0.6322984999504778 -1457,CTGCCAGGTCAGGGTGATGTCAGCAGGGTA,H2-K,63.14,233.0,0.130177515,0,nodrug,0.48315514562748335 -1458,GCCACAGGTCATTCCACCACTCTATGGTCA,CD13,41.57,402.0,0.7010989009999999,0,nodrug,0.5097116816858855 -1459,CCTTCAGGTCCTCTTCTAAAGCCAAGGTGG,NF1,61.01,1732.0,0.796195652,0,PLX_2uM,0.6190713246497409 -1460,CTGTCAGGTGAAGTTCGCTGGAGCTGGTGT,CD33,59.89,218.0,0.149350649,0,nodrug,0.44570690164538507 -1461,AGGTCAGGTTGGTGCCGTGGTCCTGGGGCC,CD33,56.32,205.0,0.37012987,0,nodrug,0.3312706976092796 -1462,CACTCAGTACACCCCATACCTATCGGGATC,MED12,49.15,1070.0,0.745670996,0,AZD_200nM,0.5763080881193606 -1463,CACTCAGTACACCCCATACCTATCGGGATC,MED12,49.15,1070.0,0.7175324679999999,0,PLX_2uM,0.5763080881193606 -1464,AGGTCAGTCCATGTCCATAGGTGGGGGCCT,MED12,92.1,2005.0,0.34848484799999996,0,AZD_200nM,0.30453717098367794 -1465,AGGTCAGTCCATGTCCATAGGTGGGGGCCT,MED12,92.1,2005.0,0.30735930699999997,0,PLX_2uM,0.30453717098367794 -1466,GGGCCAGTCTCCGTGTACAGAAGTAGGCAA,MED12,13.78,300.0,0.7056277059999999,0,AZD_200nM,0.5970098764868151 -1467,GGGCCAGTCTCCGTGTACAGAAGTAGGCAA,MED12,13.78,300.0,0.808441558,1,PLX_2uM,0.5970098764868151 -1468,CGGACAGTCTGGAAGGGGTGGCCTAGGTAA,CD5,5.87,29.0,0.033472802999999995,0,nodrug,0.4763106197015533 -1469,GTGCCAGTCTTGCAGGTGTCCCGAGGGCAG,THY1,11.11,18.0,0.806451613,1,nodrug,0.6506187140132156 -1470,CACCCAGTGACCCCTCCCCTCTGGAGGCTG,CD45,68.14,770.0,0.498194946,0,nodrug,0.5657282270692736 -1471,GCTCCAGTGACTATTGCAGCTCCAAGGACA,H2-K,85.37,315.0,0.686390533,0,nodrug,0.5627430458145214 -1472,CAGTCAGTGAGTAGTGCCAAACCAAGGCAC,MED12,17.36,378.0,0.9209956709999999,1,AZD_200nM,0.7414532742311715 -1473,CAGTCAGTGAGTAGTGCCAAACCAAGGCAC,MED12,17.36,378.0,0.837662338,1,PLX_2uM,0.7414532742311715 -1474,CTGACAGTGCGATGATTGTGCACACGGCTG,CD13,2.48,24.0,0.298901099,0,nodrug,0.5672978932012129 -1475,GAGACAGTGGATGGAGGAGGCTCTGGGAAG,H2-K,80.22,296.0,0.278106509,0,nodrug,0.4731117710464026 -1476,TGGACAGTGGCGGGGCCAGGCCTGAGGGCG,CD15,65.09,345.0,0.35164835200000005,0,nodrug,0.49183293024300273 -1477,GGCCCAGTGGCTATGTGCACCAGCAGGCCC,MED12,91.92,2001.0,0.162337662,0,AZD_200nM,0.2365700665481322 -1478,GGCCCAGTGGCTATGTGCACCAGCAGGCCC,MED12,91.92,2001.0,0.206709957,0,PLX_2uM,0.2365700665481322 -1479,GTGACAGTGGCTCTTTGTGTTATCTGGGTA,CD28,80.28,175.0,0.040540541,0,nodrug,0.1640325769164654 -1480,TCAGCAGTGGGGAAGGCTTCAGGCCGGTTG,MED12,37.67,820.0,0.9134199129999999,1,AZD_200nM,0.5942496583730806 -1481,TCAGCAGTGGGGAAGGCTTCAGGCCGGTTG,MED12,37.67,820.0,0.873376623,1,PLX_2uM,0.5942496583730806 -1482,AAAACAGTGTGCAGTTCCAGTTGGAGGCTG,CD5,12.75,63.0,0.8702928870000001,1,nodrug,0.6139188379524851 -1483,GTTCCAGTGTTCTCTTTGAGGACATGGAGA,MED12,31.14,678.0,0.023809524,0,AZD_200nM,0.43439059203134484 -1484,GTTCCAGTGTTCTCTTTGAGGACATGGAGA,MED12,31.14,678.0,0.011904762,0,PLX_2uM,0.43439059203134484 -1485,ATGTCAGTTCACGTCAAAACTGGAAGGAAT,CUL3,61.2,470.0,0.681818182,0,PLX_2uM,0.6676589217534702 -1486,TCCCCAGTTCATGGTTACTGGTTCCGGGAA,CD33,16.76,61.0,0.082251082,0,nodrug,0.29690978135195467 -1487,GTGACAGTTCTGCAGCCAGGGGCCGGGGAC,CD5,62.35,308.0,0.15899581599999998,0,nodrug,0.436065152139708 -1488,CGCACAGTTGCTGTGTGGCTTCGATGGAAA,CD5,87.04,430.0,0.17991631800000002,0,nodrug,0.4327816603342805 -1489,CCGACAGTTGGATAGGTGGCTGCAAGGTAT,NF1,88.24,2505.0,0.7540760870000001,0,PLX_2uM,0.5325982006576241 -1490,ATTCCAGTTGGGGTCTTCTGGAAGTGGGGT,CD13,26.78,259.0,0.375824176,0,nodrug,0.38072219763081266 -1491,CCACCAGTTTCTGCTGTCCCTTTGCGGTTC,MED12,36.06,785.0,0.084415584,0,AZD_200nM,0.40456493606777966 -1492,CCACCAGTTTCTGCTGTCCCTTTGCGGTTC,MED12,36.06,785.0,0.09307359300000001,0,PLX_2uM,0.40456493606777966 -1493,ACTTCATAAAGCAGTGCAAGGTTGTGGAGC,NF1,15.96,453.0,0.605978261,0,PLX_2uM,0.5239624213218677 -1494,ACACCATAAGGGCCGCTCCGACCCGGGCCC,MED12,83.0,1807.0,0.438311688,0,AZD_200nM,0.4985687108237538 -1495,ACACCATAAGGGCCGCTCCGACCCGGGCCC,MED12,83.0,1807.0,0.331168831,0,PLX_2uM,0.4985687108237538 -1496,TGCTCATAATCACCCCACGGCCCCAGGACC,CD33,55.77,203.0,0.582251082,0,nodrug,0.5768424626480378 -1497,TTTGCATACCTAATCATTATGCTGAGGATT,HPRT1,13.3,29.0,0.21875,0,6TG_2ug/mL,0.6366389798686476 -1498,CATTCATACCTGAAAGATGTCAGTTGGACA,CD45,15.66,177.0,0.7039711190000001,0,nodrug,0.6608403552740866 -1499,ATCTCATACTGGCTGTCCTTCACCAGGGAG,CD13,17.68,171.0,0.772527473,0,nodrug,0.5333439561325212 -1500,TTTTCATAGACTGTCCTGGGAAACTGGCTG,NF1,60.37,1714.0,0.637228261,0,PLX_2uM,0.3580371770550417 -1501,TCTGCATAGGAGGTGTCTTCAAACAGGACC,CCDC101,90.1,264.0,0.187919463,0,AZD_200nM,0.3402836021793396 -1502,GGATCATCAAAGGGAGAGGGAGGCCGGGGA,MED12,29.08,633.0,0.074675325,0,AZD_200nM,0.3752499148277276 -1503,GGATCATCAAAGGGAGAGGGAGGCCGGGGA,MED12,29.08,633.0,0.113636364,0,PLX_2uM,0.3752499148277276 -1504,CCCGCATCACAGGCACTGTGTATTTGGCTA,MED12,6.84,149.0,0.053030303,0,AZD_200nM,0.21671079403003993 -1505,CCCGCATCACAGGCACTGTGTATTTGGCTA,MED12,6.84,149.0,0.055194805,0,PLX_2uM,0.21671079403003993 -1506,GCTCCATCACCTCTTGGGGAGTCCGGGAAG,TADA2B,24.29,102.0,0.415789474,0,AZD_200nM,0.4773944088297654 -1507,TCAACATCACGCTTATCCACCCCAAGGACC,CD13,24.82,240.0,0.946153846,1,nodrug,0.7518685014102304 -1508,CGGTCATCACGGTGGATACCAGCACGGGGA,CD13,57.6,557.0,0.903296703,1,nodrug,0.7021212989584723 -1509,GGGTCATCAGCACCCCTCTGCGCATGGTCT,CCDC101,39.25,115.0,0.44966443,0,AZD_200nM,0.516653505537354 -1510,AGCCCATCAGTTTCTGTGGGGTCAGGGACA,CD43,13.42,53.0,0.239130435,0,nodrug,0.5479494439034401 -1511,ACAGCATCATCATCTGAGGAGATCTGGAGA,MED12,22.78,496.0,0.527056277,0,AZD_200nM,0.45649676189223315 -1512,ACAGCATCATCATCTGAGGAGATCTGGAGA,MED12,22.78,496.0,0.558441558,0,PLX_2uM,0.45649676189223315 -1513,TGTACATCCACGGGAACCTGGGGAAGGCCT,TADA2B,28.57,120.0,0.636842105,0,AZD_200nM,0.6259119372726489 -1514,GGGGCATCCAGGCGCACACTGCCGAGGAGG,CD15,49.06,260.0,0.32967033,0,nodrug,0.58158506316037 -1515,CATGCATCCATCCTCGTCCACTGCAGGTTA,CD45,87.96,994.0,0.5992779779999999,0,nodrug,0.5003640138627689 -1516,TGCTCATCCCCAGAGACAGCAGGCTGGTTA,MED12,2.25,49.0,0.608225108,0,AZD_200nM,0.6551211356573998 -1517,TGCTCATCCCCAGAGACAGCAGGCTGGTTA,MED12,2.25,49.0,0.5865800870000001,0,PLX_2uM,0.6551211356573998 -1518,GTGTCATCCCGCTGCCCCAGTGGAAGGCCA,CCDC101,73.72,216.0,0.973154362,1,AZD_200nM,0.5520657030171028 -1519,ACTTCATCCCTTCTGGGGAAGCCTTGGGAA,CD45,86.46,977.0,0.003610108,0,nodrug,0.32435612655043267 -1520,GCCTCATCCTCAACCAGGACCAGATGGCAC,MED12,43.32,943.0,0.880952381,1,AZD_200nM,0.6425857925939827 -1521,GCCTCATCCTCAACCAGGACCAGATGGCAC,MED12,43.32,943.0,0.8441558440000001,1,PLX_2uM,0.6425857925939827 -1522,GCATCATCCTGACCCTTGTACTCCTGGTGG,CD5,78.54,388.0,0.276150628,0,nodrug,0.3927140415843263 -1523,CTCCCATCGAATTGGCAAGGGCCTGGGGTC,CD5,46.96,232.0,0.041841004,0,nodrug,0.3963958855859079 -1524,GCCTCATCGACTTTGCCATTCAGGTGGGGA,MED12,41.11,895.0,0.7294372290000001,0,AZD_200nM,0.5690845777812898 -1525,GCCTCATCGACTTTGCCATTCAGGTGGGGA,MED12,41.11,895.0,0.662337662,0,PLX_2uM,0.5690845777812898 -1526,AGAACATCGCCAAGGCCACAATCGAGGTTT,MED12,63.71,1387.0,0.833333333,1,AZD_200nM,0.6963774123022147 -1527,AGAACATCGCCAAGGCCACAATCGAGGTTT,MED12,63.71,1387.0,0.803030303,1,PLX_2uM,0.6963774123022147 -1528,AGAACATCGCCCGTGACTACAATCTGGTGC,TADA2B,54.05,227.0,0.6894736840000001,0,AZD_200nM,0.5109110159499812 -1529,GAGCCATCGGAATCAAATATGCGCTGGGCA,MED12,46.67,1016.0,0.374458874,0,AZD_200nM,0.526527405240106 -1530,GAGCCATCGGAATCAAATATGCGCTGGGCA,MED12,46.67,1016.0,0.467532468,0,PLX_2uM,0.526527405240106 -1531,TGAGCATCGTAGACGCCAGGAGGAGGGATA,CD33,30.22,110.0,0.772727273,0,nodrug,0.6158654882558687 -1532,TACCCATCTATTCAAGCAAAAATATGGGGA,NF1,70.31,1996.0,0.08152173900000001,0,PLX_2uM,0.25735309011802465 -1533,ACCCCATCTCAGGGTGAGGGGCTCAGGCAG,H2-K,78.59,290.0,0.118343195,0,nodrug,0.3181382658015292 -1534,CTAGCATCTCGCAAGGTAGCATGGAGGAAA,MED12,73.77,1606.0,0.8311688309999999,1,AZD_200nM,0.7681649825287331 -1535,CTAGCATCTCGCAAGGTAGCATGGAGGAAA,MED12,73.77,1606.0,0.804112554,1,PLX_2uM,0.7681649825287331 -1536,GAAACATCTCGTACAGTGACAAGGAGGTAG,NF2,45.21,269.0,0.8206278029999999,1,PLX_2uM,0.7599721610232423 -1537,TGGGCATCTGTGGTGGTGCCTCTTGGGAAG,H2-K,73.71,272.0,0.076923077,0,nodrug,0.3197604315727352 -1538,CAGCCATCTTCAGTGCCAGCACCTCGGCTT,NF2,73.11,435.0,0.246636771,0,PLX_2uM,0.6138875358213917 -1539,GAAACATGAACATGGCCAGCTTCTCGGTGT,MED12,10.93,238.0,0.164502165,0,AZD_200nM,0.4075948966596949 -1540,GAAACATGAACATGGCCAGCTTCTCGGTGT,MED12,10.93,238.0,0.19372294399999998,0,PLX_2uM,0.4075948966596949 -1541,AGCACATGAAGACTATAGTAGAAATGGAGA,CUL3,36.2,278.0,0.305194805,0,PLX_2uM,0.40478663171254614 -1542,CTTGCATGACATGAACTGGTACAGCGGCCT,TADA2B,62.62,263.0,0.9157894740000001,1,AZD_200nM,0.7357847097593397 -1543,AACCCATGACGCCAGTCATGGTTGTGGGCA,MED12,86.4,1881.0,0.46969697,0,AZD_200nM,0.5111458525044162 -1544,AACCCATGACGCCAGTCATGGTTGTGGGCA,MED12,86.4,1881.0,0.5995670999999999,0,PLX_2uM,0.5111458525044162 -1545,GTACCATGACTCCAATGAGTGCCCAGGGCG,MED12,93.48,2035.0,0.154761905,0,AZD_200nM,0.3049901171016577 -1546,GTACCATGACTCCAATGAGTGCCCAGGGCG,MED12,93.48,2035.0,0.151515152,0,PLX_2uM,0.3049901171016577 -1547,AGTGCATGAGACCACTGTCTACGTTGGCAT,NF1,40.75,1157.0,0.554347826,0,PLX_2uM,0.709842220318678 -1548,GGTTCATGATGTCCCGCACGGTGGTGGGGA,CD13,55.33,535.0,0.705494505,0,nodrug,0.4500914606060341 -1549,CTACCATGCACCTCCGTACCTTCATGGGGC,CD13,74.35,719.0,0.324175824,0,nodrug,0.3495436890394249 -1550,TACACATGCCATGTGTACCATCAGGGGCTG,H2-K,77.24,285.0,0.585798817,0,nodrug,0.6502109664570211 -1551,AGCTCATGCGGGAAGCGATGGCCCCGGCCA,NF2,0.67,4.0,0.170403587,0,PLX_2uM,0.5543066969595971 -1552,TGCACATGCTGCACCAGAGGCAAGTGGTAT,MED12,39.83,867.0,0.753246753,0,AZD_200nM,0.7461912072473276 -1553,TGCACATGCTGCACCAGAGGCAAGTGGTAT,MED12,39.83,867.0,0.7987012990000001,0,PLX_2uM,0.7461912072473276 -1554,TGCCCATGCTTATTGCCTTGGTGGTGGTTT,CD43,65.57,259.0,0.47826087,0,nodrug,0.4839071018739572 -1555,TAAACATGGAGAAAAGCTCTACACTGGACT,CUL3,9.64,74.0,0.461038961,0,PLX_2uM,0.6222953080799308 -1556,CCAGCATGGCATCAATTCCAATGTAGGTAC,CD45,61.06,690.0,0.8014440429999999,1,nodrug,0.598582783964074 -1557,GGGTCATGGCCGACTGCTGCAGCAGGGTCA,CCDC101,41.98,123.0,0.872483221,1,AZD_200nM,0.6512718595578766 -1558,AGGACATGGCCGCGCACAGGCCGGTGGAAT,NF1,0.21,6.0,0.379076087,0,PLX_2uM,0.5829515048790362 -1559,CCAACATGGCGACCGTTGCTGTTCTGGTTG,H2-K,84.01,310.0,0.035502959,0,nodrug,0.1733681982627119 -1560,TTCTCATGGCGGCAGTCCAGGCGAAGGTTT,THY1,21.6,35.0,0.951612903,1,nodrug,0.5737633602806812 -1561,GAAGCATGGGATGAACCGGTCCGATGGCTC,MED12,44.19,962.0,0.79004329,0,AZD_200nM,0.6104361526855541 -1562,GAAGCATGGGATGAACCGGTCCGATGGCTC,MED12,44.19,962.0,0.847402597,1,PLX_2uM,0.6104361526855541 -1563,GGTTCATGGGGCCATTGGAGGAGCTGGTGT,CD33,72.53,264.0,0.41341991299999997,0,nodrug,0.36035032956884727 -1564,AGTTCATGGTTACTGGTTCCGGGAAGGAGC,CD33,17.03,62.0,0.67965368,0,nodrug,0.6412534257113361 -1565,AGATCATGGTTCCCGATACATAGCTGGAGA,NF2,50.25,299.0,0.529147982,0,PLX_2uM,0.5535146885953403 -1566,TGAGCATGTACATCCACGGGAACCTGGGGA,TADA2B,28.1,118.0,0.6105263160000001,0,AZD_200nM,0.42658444938062956 -1567,TTGGCATGTCATACCACTTGCCTCTGGTGC,MED12,39.87,868.0,0.457792208,0,AZD_200nM,0.4660771833763365 -1568,TTGGCATGTCATACCACTTGCCTCTGGTGC,MED12,39.87,868.0,0.507575758,0,PLX_2uM,0.4660771833763365 -1569,TCTCCATGTCCTCAAAGAGAACACTGGAAC,MED12,30.96,674.0,0.687229437,0,AZD_200nM,0.6491222894119947 -1570,TCTCCATGTCCTCAAAGAGAACACTGGAAC,MED12,30.96,674.0,0.7824675320000001,0,PLX_2uM,0.6491222894119947 -1571,CCAACATGTGACCGTGGACGTGTTCGGCCG,CD15,72.64,385.0,0.304029304,0,nodrug,0.4807014158385774 -1572,CAGTCATGTTGATCCATTCCTGTAGGGAGT,NF1,29.41,835.0,0.942934783,1,PLX_2uM,0.5811840092837137 -1573,AGATCATTAATGACGCCTTCAACCTGGCCA,CD13,68.98,667.0,0.7,0,nodrug,0.5495299599865519 -1574,AATACATTAATGCATCCTTTGTGATGGTAG,CD45,75.13,849.0,0.9494584840000001,1,nodrug,0.5366453257476644 -1575,CTATCATTCATATCCGGACCCGCTGGGAAC,NF1,64.46,1830.0,0.79076087,0,PLX_2uM,0.6145870348740574 -1576,TTAACATTCTTTAAAATAGTAGTGAGGCCG,NF1,2.08,59.0,0.641304348,0,PLX_2uM,0.6481156199247369 -1577,CCGACATTGACAAGACTGAGCTGGTGGAGC,CD13,16.03,155.0,0.7230769229999999,0,nodrug,0.6030254939268279 -1578,AGGGCATTGCAGACAAAGCTGTAGCGGTTA,MED12,48.28,1051.0,0.746753247,0,AZD_200nM,0.6758662947661521 -1579,AGGGCATTGCAGACAAAGCTGTAGCGGTTA,MED12,48.28,1051.0,0.731601732,0,PLX_2uM,0.6758662947661521 -1580,GTTCCATTGCTCCTCTCGTTGTCTAGGTAA,CD28,57.34,125.0,0.527027027,0,nodrug,0.46363818933806233 -1581,GTAACATTGGAATCGGGGTCAAGGAGGAAG,CD13,58.74,568.0,0.49670329700000004,0,nodrug,0.6500115796816308 -1582,CCTACATTGGAATTGATGCCATGCTGGAAG,CD45,61.5,695.0,0.6028880870000001,0,nodrug,0.5054031556669013 -1583,CGGTCATTGTTGAATGATTCCAGGAGGAAG,CUL3,46.48,357.0,0.642857143,0,PLX_2uM,0.7132716013469551 -1584,TCCTCATTTCCACACTTAGCATTTTGGACA,CD45,6.11,69.0,0.039711191,0,nodrug,0.12389488584742278 -1585,GCTGCATTTCCTGCTCAGCCTCTGCGGCCT,NF2,67.9,404.0,0.6367713,0,PLX_2uM,0.5855128035259071 -1586,CTATCCAAAAGCCAAAATGGAAGATGGCCA,NF1,28.18,800.0,0.244565217,0,PLX_2uM,0.5435138703537246 -1587,TCCACCAAACAGAAGATCTCGCCCTGGGAT,MED12,77.49,1687.0,0.83982684,1,AZD_200nM,0.5953935229384254 -1588,TCCACCAAACAGAAGATCTCGCCCTGGGAT,MED12,77.49,1687.0,0.738095238,0,PLX_2uM,0.5953935229384254 -1589,AATGCCAAACAGCAAGTAAAATTTGGGTAA,NF1,76.12,2161.0,0.12092391300000001,0,PLX_2uM,0.35841130948611377 -1590,TGTTCCAAACCAGCCCCAAGAGAGTGGTGC,MED12,78.14,1701.0,0.824675325,1,AZD_200nM,0.585972361162086 -1591,TGTTCCAAACCAGCCCCAAGAGAGTGGTGC,MED12,78.14,1701.0,0.80952381,1,PLX_2uM,0.585972361162086 -1592,TCATCCAAACCCAGCGCTGGCCCGGGGGCC,CD15,54.53,289.0,0.7179487179999999,0,nodrug,0.5327316652079005 -1593,AGCACCAAACGTAAAGCAGCAGTTTGGCCA,NF1,9.37,266.0,0.506793478,0,PLX_2uM,0.5001537551993019 -1594,GTGGCCAAACTGCTGCTTTACGTTTGGTGC,NF1,9.23,262.0,0.016304348,0,PLX_2uM,0.4363043944548842 -1595,ACACCCAAAGACAACAAGAGCTCTTGGTTG,NF1,79.18,2248.0,0.85326087,1,PLX_2uM,0.45506045084757163 -1596,ATGACCAACACCAGGTCACGGCTCAGGTGT,MED12,38.86,846.0,0.923160173,1,AZD_200nM,0.6224540204917457 -1597,ATGACCAACACCAGGTCACGGCTCAGGTGT,MED12,38.86,846.0,0.991341991,1,PLX_2uM,0.6224540204917457 -1598,GTCGCCAACCCCGTCGCGACCGGTGGGCGT,CD15,35.47,188.0,0.842490842,1,nodrug,0.6138557732036714 -1599,ACGACCAACCGCTGGTTGCACTCATGGCTG,MED12,34.41,749.0,0.312770563,0,AZD_200nM,0.48116502083795376 -1600,ACGACCAACCGCTGGTTGCACTCATGGCTG,MED12,34.41,749.0,0.288961039,0,PLX_2uM,0.48116502083795376 -1601,CCATCCAACTCCCCACCACCGTGCGGGACA,CD13,55.43,536.0,0.917582418,1,nodrug,0.6217646760704886 -1602,GCAACCAAGAGCTCTTGTTGTCTTTGGGTG,NF1,79.29,2251.0,0.192934783,0,PLX_2uM,0.15368140348850637 -1603,TTCTCCAAGAGGGAGTTCATCTCCTGGGGA,MED12,63.11,1374.0,0.7629870129999999,0,AZD_200nM,0.563276291063229 -1604,TTCTCCAAGAGGGAGTTCATCTCCTGGGGA,MED12,63.11,1374.0,0.7943722940000001,0,PLX_2uM,0.563276291063229 -1605,CGGGCCAAGATCCGAGAACTGCAGCGGTAC,TADA2B,69.52,292.0,0.8578947370000001,1,AZD_200nM,0.6431002417078577 -1606,CAAACCAAGGCACTAGGACAGCACAGGAGG,MED12,17.09,372.0,0.9361471859999999,1,AZD_200nM,0.7321985127545897 -1607,CAAACCAAGGCACTAGGACAGCACAGGAGG,MED12,17.09,372.0,0.9285714290000001,1,PLX_2uM,0.7321985127545897 -1608,GGCACCAAGGCTCGTCCCAGAAGGAGGTGA,CD15,94.15,499.0,0.985347985,1,nodrug,0.45037455831970824 -1609,GTTTCCAAGGGGGTCAAAGAAACTGGGATT,CD43,18.23,72.0,0.260869565,0,nodrug,0.5649061278973772 -1610,TGGTCCAAGGTGGTGGCCGAGGCGGGGTTG,CD13,6.2,60.0,0.446153846,0,nodrug,0.5575360999179648 -1611,TAATCCAAGTAAGCCATTCTCAAGAGGCAG,NF1,12.86,365.0,0.512228261,0,PLX_2uM,0.6289099228721144 -1612,ATTTCCAAGTCCCTGGGCATCCTGGGGATC,CD13,1.45,14.0,0.368131868,0,nodrug,0.5679450676866994 -1613,TGAACCAAGTGTTAATGGCACTCTGGGATC,MED12,5.1,111.0,0.36688311700000004,0,AZD_200nM,0.5190492210187078 -1614,TGAACCAAGTGTTAATGGCACTCTGGGATC,MED12,5.1,111.0,0.37012987,0,PLX_2uM,0.5190492210187078 -1615,TACACCACACTCTGCACAATTCCATGGATT,NF1,94.51,2683.0,0.32201087,0,PLX_2uM,0.3607613472516509 -1616,GGAACCACAGCCCCCACTTCCTGCAGGCCC,MED12,9.69,211.0,0.334415584,0,AZD_200nM,0.5488914999174077 -1617,GGAACCACAGCCCCCACTTCCTGCAGGCCC,MED12,9.69,211.0,0.514069264,0,PLX_2uM,0.5488914999174077 -1618,GTCACCACAGCTACTGGGTCTCTGGGGCCC,CD43,49.11,194.0,0.81884058,1,nodrug,0.6273544071053073 -1619,CTCCCCACAGGGATGAAGCTGAAATGGAAT,NF2,34.29,204.0,0.197309417,0,PLX_2uM,0.42312418403504704 -1620,AATTCCACCACACCTGTGCACCTCAGGCCT,CD5,34.21,169.0,0.476987448,0,nodrug,0.4875349482144731 -1621,GGCACCACCACAGATGCCCACTTCTGGAAG,H2-K,71.54,264.0,0.112426036,0,nodrug,0.2862976165021215 -1622,TTTTCCACCACCGCGACCTCGTGAAGGGGC,CD15,45.85,243.0,0.838827839,1,nodrug,0.5520241866599398 -1623,AAAGCCACCACCTAGAATCGAAAGGGGCTT,NF1,50.58,1436.0,0.84375,1,PLX_2uM,0.754995339143283 -1624,AGCACCACCAGGAGTACAAGGGTCAGGATG,CD5,77.94,385.0,0.585774059,0,nodrug,0.5226098449863491 -1625,TCAACCACCATGGACTGAACAAGTAGGAAA,NF1,12.15,345.0,0.929347826,1,PLX_2uM,0.6851750230983773 -1626,GCCCCCACCCAAGGAGAAGATTGAAGGGAC,MED12,32.98,718.0,0.399350649,0,AZD_200nM,0.49874164024406914 -1627,GCCCCCACCCAAGGAGAAGATTGAAGGGAC,MED12,32.98,718.0,0.49025974,0,PLX_2uM,0.49874164024406914 -1628,ATTTCCACCCAGTTCCAGCGCCAGGGGCTT,MED12,98.3,2140.0,0.060606060999999996,0,AZD_200nM,0.1494186471633857 -1629,ATTTCCACCCAGTTCCAGCGCCAGGGGCTT,MED12,98.3,2140.0,0.051948052,0,PLX_2uM,0.1494186471633857 -1630,AGGACCACCCTGTGCCCCTGGCTGAGGGTG,CD13,13.65,132.0,0.420879121,0,nodrug,0.44273157056498597 -1631,GCATCCACCGTGTGGAAGGAGATGAGGTCG,CD5,65.79,325.0,0.619246862,0,nodrug,0.6591186008669924 -1632,ACTGCCACCTCCTCCCTCCTCCTCTGGAAG,MED12,57.51,1252.0,0.257575758,0,AZD_200nM,0.4030444988792853 -1633,ACTGCCACCTCCTCCCTCCTCCTCTGGAAG,MED12,57.51,1252.0,0.26406926399999997,0,PLX_2uM,0.4030444988792853 -1634,GCTGCCACGCCCAGGAGGATCCCCAGGATG,CD13,1.55,15.0,0.35714285700000004,0,nodrug,0.5448382256565967 -1635,GATTCCACGCTTTACTTTGGTCCAAGGTGG,CD13,6.83,66.0,0.35714285700000004,0,nodrug,0.566997091828997 -1636,CATTCCACGGGAAGGAGATCTTGGGGGTCA,NF2,42.52,253.0,0.923766816,1,PLX_2uM,0.7794344968236596 -1637,CTGGCCACGTAGTCTCCTGAGGCAGGGATG,CCDC101,51.19,150.0,0.624161074,0,AZD_200nM,0.6631375540620008 -1638,TCAACCACGTCTTTGGATATATCCTGGATT,NF1,9.97,283.0,0.828804348,1,PLX_2uM,0.4952516715619537 -1639,TCGTCCACGTGGATGAAGGCGCCGCGGGGC,CD15,85.66,454.0,0.9560439559999999,1,nodrug,0.5558111286436073 -1640,TATTCCACTAAAGCCTGATGAATCAGGATA,CD45,64.69,731.0,0.17328519899999997,0,nodrug,0.441438695894863 -1641,ACAGCCACTCACCTGCCCACAGCAGGGGCA,CD33,2.75,10.0,0.8138528140000001,1,nodrug,0.6388233426629136 -1642,CTTCCCACTCGAGGCCAGCTTGAAGGGAGA,TADA1,45.37,152.0,0.146788991,0,AZD_200nM,0.5019795649248302 -1643,AGCACCACTCTCTTGGGGCTGGTTTGGAAC,MED12,78.27,1704.0,0.020562771,0,AZD_200nM,0.23880740427819938 -1644,AGCACCACTCTCTTGGGGCTGGTTTGGAAC,MED12,78.27,1704.0,0.046536797000000005,0,PLX_2uM,0.23880740427819938 -1645,GGATCCACTGCTCGTCCCCATCCACGGCCT,CCDC101,58.02,170.0,0.7315436240000001,0,AZD_200nM,0.5846350625817769 -1646,ACATCCACTTTGCCCTCTGCTTCCAGGCCT,CD45,61.95,700.0,0.032490975,0,nodrug,0.27970430770193144 -1647,GCTTCCAGAAAACAACGGCCCAGGAGGGCG,CD5,52.02,257.0,0.711297071,0,nodrug,0.6033768218695192 -1648,GCAACCAGAACAGCTTCAGTGTCAGGGTTC,NF1,24.62,699.0,0.207880435,0,PLX_2uM,0.6122528822186082 -1649,TTCCCCAGAACTACCTGAAGAAGCAGGTCA,CD13,74.87,724.0,0.556043956,0,nodrug,0.5638128478045952 -1650,TGTTCCAGAAGGAGCAGCTCGTGCTGGCCC,CCDC101,79.86,234.0,0.838926174,1,AZD_200nM,0.43576441122613124 -1651,TGAACCAGAAGGATAACTTCTGGCTGGTGA,MED12,4.73,103.0,0.12121212099999999,0,AZD_200nM,0.5807224242022168 -1652,TGAACCAGAAGGATAACTTCTGGCTGGTGA,MED12,4.73,103.0,0.10281385300000001,0,PLX_2uM,0.5807224242022168 -1653,CCTTCCAGAAGTGGGCATCTGTGGTGGTGC,H2-K,72.63,268.0,0.44378698200000005,0,nodrug,0.5486747219797459 -1654,ATCTCCAGACAAGAGCTACATTTATGGAAG,NF1,41.53,1179.0,0.008152174,0,PLX_2uM,0.21697832194241576 -1655,TGACCCAGAGCACAAGGAGGCTGAAGGCAG,MED12,29.81,649.0,0.9523809520000001,1,AZD_200nM,0.6010121284656231 -1656,TGACCCAGAGCACAAGGAGGCTGAAGGCAG,MED12,29.81,649.0,0.95021645,1,PLX_2uM,0.6010121284656231 -1657,GAGACCAGAGCAGGAGTGGTTCATGGGGCC,CD33,71.15,259.0,0.192640693,0,nodrug,0.4572714051706623 -1658,AGCGCCAGAGTGACAGGGACCTTATGGGCA,CD13,69.6,673.0,0.238461538,0,nodrug,0.3074517213524271 -1659,TGTACCAGATCCCACAGACTGATATGGCTG,NF1,8.49,241.0,0.460597826,0,PLX_2uM,0.40588236728887506 -1660,AGGACCAGATGGCACAGGTCTTTGAGGGGT,MED12,43.55,948.0,0.045454545,0,AZD_200nM,0.4131212872111747 -1661,AGGACCAGATGGCACAGGTCTTTGAGGGGT,MED12,43.55,948.0,0.053030303,0,PLX_2uM,0.4131212872111747 -1662,ATGACCAGCAAAGAAGTTAAGGATGGGGCC,CD13,33.61,325.0,0.717582418,0,nodrug,0.5844460914531204 -1663,GCTTCCAGCACCTTCTGCTCCATCAGGCGC,NF2,71.6,426.0,0.251121076,0,PLX_2uM,0.4240360941246794 -1664,AGGGCCAGCACGAGCTGCTCCTTCTGGAAC,CCDC101,78.5,230.0,0.073825503,0,AZD_200nM,0.24441406096978427 -1665,AACACCAGCAGCAACAGCAGCAACAGGCGG,MED12,97.47,2122.0,0.015151515,0,AZD_200nM,0.06182158147754244 -1666,AACACCAGCAGCAACAGCAGCAACAGGCGG,MED12,97.47,2122.0,0.0995671,0,PLX_2uM,0.06182158147754244 -1667,TGAGCCAGCAGCCCTTCTTATCGCTGGTGC,MED12,68.12,1483.0,0.122294372,0,AZD_200nM,0.42741392719638316 -1668,TGAGCCAGCAGCCCTTCTTATCGCTGGTGC,MED12,68.12,1483.0,0.08658008699999999,0,PLX_2uM,0.42741392719638316 -1669,GTCACCAGCCAGAAGTTATCCTTCTGGTTC,MED12,4.55,99.0,0.34199134200000003,0,AZD_200nM,0.41512366083243557 -1670,GTCACCAGCCAGAAGTTATCCTTCTGGTTC,MED12,4.55,99.0,0.480519481,0,PLX_2uM,0.41512366083243557 -1671,GCAGCCAGCCAGCTACCAAGACAGAGGTGA,MED12,82.64,1799.0,0.676406926,0,AZD_200nM,0.6303938443027056 -1672,GCAGCCAGCCAGCTACCAAGACAGAGGTGA,MED12,82.64,1799.0,0.557359307,0,PLX_2uM,0.6303938443027056 -1673,AATGCCAGCCCATCAGTTTCTGTGGGGTCA,CD43,12.91,51.0,0.811594203,1,nodrug,0.7261998931581234 -1674,GTAGCCAGCGAGTCATGAAAAGATAGGTCA,MED12,51.58,1123.0,0.938311688,1,AZD_200nM,0.597023593755294 -1675,GTAGCCAGCGAGTCATGAAAAGATAGGTCA,MED12,51.58,1123.0,0.924242424,1,PLX_2uM,0.597023593755294 -1676,AGCACCAGCGATAAGAAGGGCTGCTGGCTC,MED12,67.94,1479.0,0.47943722899999996,0,AZD_200nM,0.504010120552205 -1677,AGCACCAGCGATAAGAAGGGCTGCTGGCTC,MED12,67.94,1479.0,0.43181818200000005,0,PLX_2uM,0.504010120552205 -1678,AAACCCAGCGCTGGCCCGGGGGCCTGGGGC,CD15,54.15,287.0,0.014652015,0,nodrug,0.13895094959604687 -1679,ACCGCCAGCGCTTGGCAGCCAAGGAGGGGC,TADA1,98.21,329.0,0.009174311999999999,0,AZD_200nM,0.27776149509288317 -1680,TCCACCAGCTGGTAGCCGTGGTAGCGGCGG,TADA2B,11.43,48.0,0.357894737,0,AZD_200nM,0.5588473540375443 -1681,TCCCCCAGGAGACACACCCTGAGCCGGCGC,CCDC101,70.31,206.0,0.469798658,0,AZD_200nM,0.487734543413843 -1682,CTCCCCAGGAGATGAACTCCCTCTTGGAGA,MED12,63.3,1378.0,0.316017316,0,AZD_200nM,0.4920037592574437 -1683,CTCCCCAGGAGATGAACTCCCTCTTGGAGA,MED12,63.3,1378.0,0.327922078,0,PLX_2uM,0.4920037592574437 -1684,TAATCCAGGATATATCCAAAGACGTGGTTG,NF1,10.11,287.0,0.588315217,0,PLX_2uM,0.7118159471682672 -1685,CACACCAGGATCCACCCCAACCTGCGGTCC,CD13,81.9,792.0,0.934065934,1,nodrug,0.6743253870103373 -1686,GTCTCCAGGATTCAGAGGCACAATAGGAGC,MED12,36.61,797.0,0.213203463,0,AZD_200nM,0.3744899080412516 -1687,GTCTCCAGGATTCAGAGGCACAATAGGAGC,MED12,36.61,797.0,0.16558441599999998,0,PLX_2uM,0.3744899080412516 -1688,AGCCCCAGGCCCCCGGGCCAGCGCTGGGTT,CD15,54.91,291.0,0.076923077,0,nodrug,0.23285486725701762 -1689,GACCCCAGGCCCTTGCCAATTCGATGGGAG,CD5,47.77,236.0,0.30543933100000004,0,nodrug,0.5181209787174268 -1690,GCATCCAGGCGCACACTGCCGAGGAGGTGG,CD15,49.25,261.0,0.641025641,0,nodrug,0.6120244129909297 -1691,GTCACCAGGCTTCCCGATCCACAGGGGCAG,CCDC101,45.39,133.0,0.8255033559999999,1,AZD_200nM,0.7630917604103521 -1692,CCGGCCAGGGCCTGCAGGAAGTGGGGGCTG,MED12,9.74,212.0,0.452380952,0,AZD_200nM,0.5822477817371954 -1693,CCGGCCAGGGCCTGCAGGAAGTGGGGGCTG,MED12,9.74,212.0,0.632034632,0,PLX_2uM,0.5822477817371954 -1694,GATCCCAGGGCGAGATCTTCTGTTTGGTGG,MED12,77.31,1683.0,0.27597402600000004,0,AZD_200nM,0.3606186275992364 -1695,GATCCCAGGGCGAGATCTTCTGTTTGGTGG,MED12,77.31,1683.0,0.261904762,0,PLX_2uM,0.3606186275992364 -1696,GGAGCCAGGGCGGCCGCCAACAGCAGGAGC,H2-K,2.44,9.0,0.627218935,0,nodrug,0.5050944342526672 -1697,TGCCCCAGGGCGGGGGCCAGTCGGGGGGCC,CD15,46.79,248.0,0.41758241799999996,0,nodrug,0.31869216550658835 -1698,CACTCCAGGGTAAGTTGGTCGGGTGGGCAG,MED12,85.94,1871.0,0.534632035,0,AZD_200nM,0.5070582991803085 -1699,CACTCCAGGGTAAGTTGGTCGGGTGGGCAG,MED12,85.94,1871.0,0.45670995700000006,0,PLX_2uM,0.5070582991803085 -1700,GGCTCCAGGTAATAGGCGCGGGGCCGGGGC,MED12,79.65,1734.0,0.556277056,0,AZD_200nM,0.32277429485911946 -1701,GGCTCCAGGTAATAGGCGCGGGGCCGGGGC,MED12,79.65,1734.0,0.484848485,0,PLX_2uM,0.32277429485911946 -1702,AGACCCAGTAGCTGTGGTGACAGGGGGACC,CD43,47.34,187.0,0.565217391,0,nodrug,0.6859550412509791 -1703,AGCGCCAGTCAGACAGTCTGGAAAAGGTTC,MED12,75.01,1633.0,0.428571429,0,AZD_200nM,0.45547140264289304 -1704,AGCGCCAGTCAGACAGTCTGGAAAAGGTTC,MED12,75.01,1633.0,0.380952381,0,PLX_2uM,0.45547140264289304 -1705,TGTGCCAGTCTTGCAGGTGTCCCGAGGGCA,THY1,10.49,17.0,0.838709677,1,nodrug,0.5919690252791368 -1706,TTATCCAGTGGTTTAATAGTAAACTGGAAG,NF2,45.55,271.0,0.17937219699999998,0,PLX_2uM,0.4204578367565749 -1707,AGTACCAGTGTACCACATGGAAAGGGGAAG,CD45,84.25,952.0,0.837545126,1,nodrug,0.6255342511274555 -1708,TCTTCCAGTTTACTATTAAACCACTGGATA,NF2,46.22,275.0,0.38116591899999996,0,PLX_2uM,0.5526822571337173 -1709,ACTTCCATAAATGTAGCTCTTGTCTGGAGA,NF1,41.39,1175.0,0.498641304,0,PLX_2uM,0.45105885872121076 -1710,CACACCATAAGGGCCGCTCCGACCCGGGCC,MED12,83.05,1808.0,0.451298701,0,AZD_200nM,0.42433211816075417 -1711,CACACCATAAGGGCCGCTCCGACCCGGGCC,MED12,83.05,1808.0,0.350649351,0,PLX_2uM,0.42433211816075417 -1712,GTGCCCATAAGGTCCCTGTCACTCTGGCGC,CD13,70.01,677.0,0.7769230770000001,0,nodrug,0.48712335795216827 -1713,CCAGCCATATCAGTCTGTGGGATCTGGTAC,NF1,8.35,237.0,0.417119565,0,PLX_2uM,0.48589242180775877 -1714,TGCTCCATCACCTCTTGGGGAGTCCGGGAA,TADA2B,24.29,102.0,0.578947368,0,AZD_200nM,0.3838143313909421 -1715,TCTCCCATCAGAGTGAAGACCCACAGGAGG,CD33,78.3,285.0,0.636363636,0,nodrug,0.576864963517829 -1716,CAGCCCATCAGTTTCTGTGGGGTCAGGGAC,CD43,13.16,52.0,0.144927536,0,nodrug,0.34127685876153774 -1717,CCTCCCATCGAATTGGCAAGGGCCTGGGGT,CD5,46.96,232.0,0.09623431,0,nodrug,0.3552943111428407 -1718,GCAGCCATGAGTGCAACCAGCGGTTGGTCG,MED12,34.59,753.0,0.9675324679999999,1,AZD_200nM,0.6618666856110569 -1719,GCAGCCATGAGTGCAACCAGCGGTTGGTCG,MED12,34.59,753.0,0.980519481,1,PLX_2uM,0.6618666856110569 -1720,CAATCCATGGAATTGTGCAGAGTGTGGTGT,NF1,94.65,2687.0,0.8097826090000001,1,PLX_2uM,0.4183437935309394 -1721,ACTTCCATGTACCGGGGCTCCCCGAGGCCG,H2-K,10.57,39.0,0.852071006,1,nodrug,0.6571443826632192 -1722,GGACCCATTCCACCGGCCTGTGCGCGGCCA,NF1,0.14,4.0,0.706521739,0,PLX_2uM,0.5768478736479207 -1723,AGGACCATTCGAAAAATGCCCAGCAGGCCT,CD5,14.98,74.0,0.347280335,0,nodrug,0.5107530334426433 -1724,GTAGCCATTTAAAGAACAAATTTGGGGAGC,MED12,45.43,989.0,0.7164502159999999,0,AZD_200nM,0.6243550687523345 -1725,GTAGCCATTTAAAGAACAAATTTGGGGAGC,MED12,45.43,989.0,0.777056277,0,PLX_2uM,0.6243550687523345 -1726,TCTACCCAAGATCCCATAACCACCAGGTCA,CD43,60.51,239.0,0.8768115940000001,1,nodrug,0.6375094498707052 -1727,TAGGCCCACACCTGAGCCGTGACCTGGTGT,MED12,38.77,844.0,0.94047619,1,AZD_200nM,0.5971378323342104 -1728,TAGGCCCACACCTGAGCCGTGACCTGGTGT,MED12,38.77,844.0,0.882034632,1,PLX_2uM,0.5971378323342104 -1729,CCTTCCCACAGCGGCCAAGATTGCCGGTCT,CCDC101,34.13,100.0,0.080536913,0,AZD_200nM,0.39501545363516527 -1730,AAGACCCACAGGAGGAAAGCAGCCAGGACA,CD33,79.67,290.0,0.11038961,0,nodrug,0.5213420087555957 -1731,CCTCCCCACCATCACCATGGCCAAGGGCTT,CD13,0.21,2.0,0.773626374,0,nodrug,0.6093735278158046 -1732,GCTGCCCACCCGACCAACTTACCCTGGAGT,MED12,86.08,1874.0,0.380952381,0,AZD_200nM,0.5172927831731347 -1733,GCTGCCCACCCGACCAACTTACCCTGGAGT,MED12,86.08,1874.0,0.39177489200000004,0,PLX_2uM,0.5172927831731347 -1734,CACGCCCACCGGTCGCGACGGGGTTGGCGA,CD15,34.91,185.0,0.46153846200000004,0,nodrug,0.5227018531093016 -1735,CGCGCCCACGTGGACATGTACGTGCGGAAG,TADA2B,50.0,210.0,0.9736842109999999,1,AZD_200nM,0.7300503445188081 -1736,GCTTCCCACTCGAGGCCAGCTTGAAGGGAG,TADA1,45.07,151.0,0.073394495,0,AZD_200nM,0.3909326069763945 -1737,CGATCCCAGAGTGCCATTAACACTTGGTTC,MED12,5.28,115.0,0.24783549800000002,0,AZD_200nM,0.4913345286924964 -1738,CGATCCCAGAGTGCCATTAACACTTGGTTC,MED12,5.28,115.0,0.310606061,0,PLX_2uM,0.4913345286924964 -1739,TCCTCCCAGATTGCAGCTGGTGCCAGGACA,CD5,32.79,162.0,0.029288703,0,nodrug,0.42772624114776975 -1740,CACACCCAGCAATACGAATGGCACCGGTAA,NF1,16.31,463.0,0.4375,0,PLX_2uM,0.6376096445519774 -1741,TGGACCCAGCATGCCCCAAAGAGGAGGAGA,CD43,2.03,8.0,0.855072464,1,nodrug,0.5857380275014278 -1742,AGGCCCCAGCCGCGGCCGCTTCAGGGGCCG,MED12,0.69,15.0,0.545454545,0,AZD_200nM,0.47530886362865266 -1743,AGGCCCCAGCCGCGGCCGCTTCAGGGGCCG,MED12,0.69,15.0,0.642857143,0,PLX_2uM,0.47530886362865266 -1744,CAGGCCCAGGACACAGAGCAGGTCAGGTTT,CD33,44.51,162.0,0.454545455,0,nodrug,0.42668349213751716 -1745,GGCCCCCAGGCTCACCGGGTACGTGGGCTT,NF2,80.84,481.0,0.668161435,0,PLX_2uM,0.5382084128789216 -1746,CCACCCCAGGGCGCCTCAGTCCTCAGGATG,CD13,50.05,484.0,0.12857142900000001,0,nodrug,0.45698582683073913 -1747,ATGCCCCAGGGCGGGGGCCAGTCGGGGGGC,CD15,46.79,248.0,0.622710623,0,nodrug,0.25951896928900275 -1748,GAGACCCAGTAGCTGTGGTGACAGGGGGAC,CD43,47.34,187.0,0.7753623190000001,0,nodrug,0.6293812932757088 -1749,AAGACCCAGTGTTGAGTAGTGCCCAGGCGC,MED12,60.4,1315.0,0.04004329,0,AZD_200nM,0.5748697961064307 -1750,AAGACCCAGTGTTGAGTAGTGCCCAGGCGC,MED12,60.4,1315.0,0.057359307000000005,0,PLX_2uM,0.5748697961064307 -1751,CAATCCCAGTTTCTTTGACCCCCTTGGAAA,CD43,19.24,76.0,0.152173913,0,nodrug,0.4284024038534267 -1752,TGTGCCCATCACATCCATCAGAGATGGCAG,CD13,61.22,592.0,0.8780219779999999,1,nodrug,0.5879685495996929 -1753,CGTCCCCATCCACGGCCTTCACCCGGGCAG,CCDC101,56.66,166.0,0.657718121,0,AZD_200nM,0.5983899833392925 -1754,GGGCCCCATCCTTAACTTCTTTGCTGGTCA,CD13,33.92,328.0,0.123076923,0,nodrug,0.2335187566974653 -1755,CCTCCCCATTCAACTGCCAGGTCAGGGTGA,H2-K,64.23,237.0,0.33727810700000005,0,nodrug,0.520505128995253 -1756,TCTTCCCATTGACATAGGCAAGTAGGGACA,CD45,25.31,286.0,0.613718412,0,nodrug,0.537432516699283 -1757,AGCCCCCCAAAACTGACAAACCGGGGGCTG,MED12,81.4,1772.0,0.511904762,0,AZD_200nM,0.6016142046703403 -1758,AGCCCCCCAAAACTGACAAACCGGGGGCTG,MED12,81.4,1772.0,0.39718614700000004,0,PLX_2uM,0.6016142046703403 -1759,AGCTCCCCAAATTTGTTCTTTAAATGGCTA,MED12,45.25,985.0,0.038961038999999996,0,AZD_200nM,0.13012202718715915 -1760,AGCTCCCCAAATTTGTTCTTTAAATGGCTA,MED12,45.25,985.0,0.014069264,0,PLX_2uM,0.13012202718715915 -1761,ATCTCCCCAACTTCCCCACCTGAATGGCAA,MED12,41.11,895.0,0.24242424199999998,0,AZD_200nM,0.5077797325261714 -1762,ATCTCCCCAACTTCCCCACCTGAATGGCAA,MED12,41.11,895.0,0.215367965,0,PLX_2uM,0.5077797325261714 -1763,CCAGCCCCAAGAGAGTGGTGCTGACGGCTT,MED12,78.0,1698.0,0.560606061,0,AZD_200nM,0.4769373220053252 -1764,CCAGCCCCAAGAGAGTGGTGCTGACGGCTT,MED12,78.0,1698.0,0.511904762,0,PLX_2uM,0.4769373220053252 -1765,GGTGCCCCACACAGACGTGCATAAGGGCAT,MED12,48.64,1059.0,0.788961039,0,AZD_200nM,0.5579523002383504 -1766,GGTGCCCCACACAGACGTGCATAAGGGCAT,MED12,48.64,1059.0,0.726190476,0,PLX_2uM,0.5579523002383504 -1767,CTGACCCCACAGAAACTGATGGGCTGGCAT,CD43,11.9,47.0,0.101449275,0,nodrug,0.4866736872952483 -1768,GTTTCCCCACAGGGGCCCTGGCTATGGATC,CD33,4.4,16.0,0.305194805,0,nodrug,0.38868141417534247 -1769,AGGGCCCCAGAGACCCAGTAGCTGTGGTGA,CD43,48.1,190.0,0.586956522,0,nodrug,0.6395578661059262 -1770,GAGGCCCCAGCCGCGGCCGCTTCAGGGGCC,MED12,0.69,15.0,0.300865801,0,AZD_200nM,0.2752303848478776 -1771,GAGGCCCCAGCCGCGGCCGCTTCAGGGGCC,MED12,0.69,15.0,0.269480519,0,PLX_2uM,0.2752303848478776 -1772,TGGGCCCCAGGACTACTCACTCCTCGGTGC,CD33,53.3,194.0,0.792207792,0,nodrug,0.5560495280884932 -1773,GGATCCCCAGGATGCCCAGGGACTTGGAAA,CD13,1.03,10.0,0.125274725,0,nodrug,0.3842492112083785 -1774,CCGCCCCCAGGCCCACACTCGCTGAGGTAT,H2-K,7.05,26.0,0.49704142,0,nodrug,0.6422064799357582 -1775,TGGCCCCCAGGCTCACCGGGTACGTGGGCT,NF2,80.84,481.0,0.66367713,0,PLX_2uM,0.46135004673598495 -1776,GATGCCCCAGGGCGGGGGCCAGTCGGGGGG,CD15,46.98,249.0,0.047619048,0,nodrug,0.2047829792248319 -1777,TACACCCCATACCTATCGGGATCATGGTGC,MED12,49.01,1067.0,0.47402597399999996,0,AZD_200nM,0.49072825776425594 -1778,TACACCCCATACCTATCGGGATCATGGTGC,MED12,49.01,1067.0,0.505411255,0,PLX_2uM,0.49072825776425594 -1779,TCGTCCCCATCCACGGCCTTCACCCGGGCA,CCDC101,56.66,166.0,0.20134228199999998,0,AZD_200nM,0.373197052058516 -1780,TCCTCCCCATTCAACTGCCAGGTCAGGGTG,H2-K,64.23,237.0,0.195266272,0,nodrug,0.3127115392139455 -1781,GAGCCCCCCAAAACTGACAAACCGGGGGCT,MED12,81.4,1772.0,0.48917748899999997,0,AZD_200nM,0.5691834166322539 -1782,GAGCCCCCCAAAACTGACAAACCGGGGGCT,MED12,81.4,1772.0,0.47619047600000003,0,PLX_2uM,0.5691834166322539 -1783,CTGACCCCCAAGATCTCCTTCCCGTGGAAT,NF2,43.19,257.0,0.7264573990000001,0,PLX_2uM,0.6392410627484317 -1784,GCTGCCCCCACCTCCCTGGGCCCCAGGACT,CD33,51.92,189.0,0.19913419899999998,0,nodrug,0.42175380777669186 -1785,ACAGCCCCCACTTCCTGCAGGCCCTGGCCG,MED12,9.6,209.0,0.411255411,0,AZD_200nM,0.46388018109918083 -1786,ACAGCCCCCACTTCCTGCAGGCCCTGGCCG,MED12,9.6,209.0,0.359307359,0,PLX_2uM,0.46388018109918083 -1787,AGAGCCCCCCAAAACTGACAAACCGGGGGC,MED12,81.35,1771.0,0.544372294,0,AZD_200nM,0.4763248520672347 -1788,AGAGCCCCCCAAAACTGACAAACCGGGGGC,MED12,81.35,1771.0,0.5,0,PLX_2uM,0.4763248520672347 -1789,GGGCCCCCCGACTGGCCCCCGCCCTGGGGC,CD15,47.55,252.0,0.31868131899999996,0,nodrug,0.24517353217192167 -1790,TTCCCCCCCTAGACAAATAGTAGAAGGAAC,CD28,82.57,180.0,0.243243243,0,nodrug,0.38656496018641306 -1791,TGGTCCCCCTGTCACCACAGCTACTGGGTC,CD43,48.1,190.0,0.202898551,0,nodrug,0.28255547639925194 -1792,GGCCCCCCGACTGGCCCCCGCCCTGGGGCA,CD15,47.55,252.0,0.164835165,0,nodrug,0.222357517173368 -1793,CCAACCCCGCCTCGGCCACCACCTTGGACC,CD13,6.62,64.0,0.131868132,0,nodrug,0.48478102652663274 -1794,GCCACCCCGGAAGACCATGCGCAGAGGGGT,CCDC101,39.25,115.0,0.496644295,0,AZD_200nM,0.596059019964035 -1795,AGGCCCCCGGGCCAGCGCTGGGTTTGGATG,CD15,55.28,293.0,0.813186813,1,nodrug,0.3722307389497474 -1796,CCTCCCCCGGGTTCCTCTGTGCCCAGGAGA,CD5,69.23,342.0,0.552301255,0,nodrug,0.45631966000210233 -1797,TTCTCCCCTACTATGCCCTGTGAGGGGAAG,MED12,31.88,694.0,0.8170995670000001,1,AZD_200nM,0.6144851943595946 -1798,TTCTCCCCTACTATGCCCTGTGAGGGGAAG,MED12,31.88,694.0,0.796536797,0,PLX_2uM,0.6144851943595946 -1799,CCTTCCCCTCACAGGGCATAGTAGGGGAGA,MED12,31.69,690.0,0.405844156,0,AZD_200nM,0.6400531929095383 -1800,CCTTCCCCTCACAGGGCATAGTAGGGGAGA,MED12,31.69,690.0,0.375541126,0,PLX_2uM,0.6400531929095383 -1801,CTGACCCCTCCCCCCACAGTGGTTCGGGAA,CD13,40.74,394.0,0.07032967,0,nodrug,0.34917620078927336 -1802,AGCACCCCTCTGCGCATGGTCTTCCGGGGT,CCDC101,38.23,112.0,0.040268456,0,AZD_200nM,0.12487210840148177 -1803,CCGGCCCCTGAAGCGGCCGCGGCTGGGGCC,MED12,0.83,18.0,0.41666666700000005,0,AZD_200nM,0.31657402266483353 -1804,CCGGCCCCTGAAGCGGCCGCGGCTGGGGCC,MED12,0.83,18.0,0.296536797,0,PLX_2uM,0.31657402266483353 -1805,GTCACCCCTGGGGCAGGTACAGCGAGGTTA,CD13,77.77,752.0,0.7010989009999999,0,nodrug,0.6689707114654679 -1806,GGTCCCCCTGTCACCACAGCTACTGGGTCT,CD43,48.35,191.0,0.246376812,0,nodrug,0.49014610592979474 -1807,CCTGCCCCTGTGGATCGGGAAGCCTGGTGA,CCDC101,46.42,136.0,0.006711409000000001,0,AZD_200nM,0.3892235932438328 -1808,TCTTCCCCTTTCCATGTGGTACACTGGTAC,CD45,83.89,948.0,0.342960289,0,nodrug,0.4431867196283586 -1809,CAAGCCCCTTTCGATTCTAGGTGGTGGCTT,NF1,50.48,1433.0,0.361413043,0,PLX_2uM,0.513705599561416 -1810,GCCCCCCGACTGGCCCCCGCCCTGGGGCAT,CD15,47.55,252.0,0.604395604,0,nodrug,0.5355753783920959 -1811,GCTCCCCGAGGCCGGGCCGGGACACGGCGG,H2-K,9.21,34.0,0.42011834299999995,0,nodrug,0.3283231751636781 -1812,ATGTCCCGCACGGTGGTGGGGAGTTGGATG,CD13,55.02,532.0,0.736263736,0,nodrug,0.5004814643948243 -1813,TGGCCCCGCCACTGTCCAGGAAACAGGGGC,CD15,66.6,353.0,0.761904762,0,nodrug,0.35109432642850563 -1814,TGGGCCCGCCTAGTACCTACCTGTAGGATA,MED12,16.86,367.0,0.996753247,1,AZD_200nM,0.7354849248883415 -1815,TGGGCCCGCCTAGTACCTACCTGTAGGATA,MED12,16.86,367.0,0.992424242,1,PLX_2uM,0.7354849248883415 -1816,GGTACCCGCGGAGGAGTCGCCCGTCGGACC,H2-K,34.69,128.0,0.674556213,0,nodrug,0.6195969972131893 -1817,TCCACCCGCTCACTCTCACTTCGAGGGTCC,MED12,26.87,585.0,0.571428571,0,AZD_200nM,0.5433967976959208 -1818,TCCACCCGCTCACTCTCACTTCGAGGGTCC,MED12,26.87,585.0,0.593073593,0,PLX_2uM,0.5433967976959208 -1819,CCCACCCGCTGTCCACACCCGCCTCGGAGA,CD13,47.47,459.0,0.46043956,0,nodrug,0.5141283395513307 -1820,CCACCCCGGAAGACCATGCGCAGAGGGGTG,CCDC101,39.59,116.0,0.342281879,0,AZD_200nM,0.47622958906678753 -1821,GATGCCCGGAATTCCTTTGCGAGAAGGTTG,CD28,22.02,48.0,0.18918918899999998,0,nodrug,0.5517908170648044 -1822,GCTGCCCGGGTGAAGGCCGTGGATGGGGAC,CCDC101,58.02,170.0,0.24832214800000002,0,AZD_200nM,0.3970177808811571 -1823,CCCACCCGTGAACCACAGGGGATGCGGAAC,MED12,56.59,1232.0,0.308441558,0,AZD_200nM,0.5167444564944953 -1824,CCCACCCGTGAACCACAGGGGATGCGGAAC,MED12,56.59,1232.0,0.322510823,0,PLX_2uM,0.5167444564944953 -1825,CACACCCTACCCACTCCCAAAATCAGGTGA,CD13,35.16,340.0,0.124175824,0,nodrug,0.4298175104449257 -1826,GTGTCCCTACTTGCCTATGTCAATGGGAAG,CD45,25.66,290.0,0.400722022,0,nodrug,0.4971286552003441 -1827,TTTACCCTCAGGACCCCAAACAGAAGGAGG,MED12,1.42,31.0,0.566017316,0,AZD_200nM,0.5973100637053127 -1828,TTTACCCTCAGGACCCCAAACAGAAGGAGG,MED12,1.42,31.0,0.57034632,0,PLX_2uM,0.5973100637053127 -1829,TGACCCCTCCCCCCACAGTGGTTCGGGAAC,CD13,40.85,395.0,0.076923077,0,nodrug,0.3039165280163481 -1830,CGGACCCTCGAAGTGAGAGTGAGCGGGTGG,MED12,27.06,589.0,0.651515152,0,AZD_200nM,0.5815393406854072 -1831,CGGACCCTCGAAGTGAGAGTGAGCGGGTGG,MED12,27.06,589.0,0.792207792,0,PLX_2uM,0.5815393406854072 -1832,GCACCCCTCTGCGCATGGTCTTCCGGGGTG,CCDC101,38.23,112.0,0.020134228,0,AZD_200nM,0.19318840266663834 -1833,CCTCCCCTCTGGAGGCTGAATACCAGGTAG,CD45,68.5,774.0,0.328519856,0,nodrug,0.40914445845113245 -1834,CGGCCCCTGAAGCGGCCGCGGCTGGGGCCT,MED12,0.87,19.0,0.415584416,0,AZD_200nM,0.38019779161552625 -1835,CGGCCCCTGAAGCGGCCGCGGCTGGGGCCT,MED12,0.87,19.0,0.477272727,0,PLX_2uM,0.38019779161552625 -1836,GGAACCCTGACACTGAAGCTGTTCTGGTTG,NF1,24.76,703.0,0.11005434800000001,0,PLX_2uM,0.3317182385841055 -1837,ATCACCCTGACCTGGCAGTTGAATGGGGAG,H2-K,65.31,241.0,0.25443787,0,nodrug,0.3620776937935145 -1838,TGCTCCCTGAGCATCGTAGACGCCAGGAGG,CD33,29.67,108.0,0.359307359,0,nodrug,0.520779469180939 -1839,CGGACCCTGAGGCCTTGTTCCAGAAGGAGC,CCDC101,78.16,229.0,0.067114094,0,AZD_200nM,0.5038806202550314 -1840,CACCCCCTGATGATGCTGAGCAGCAGGCTG,TADA1,76.12,255.0,0.256880734,0,AZD_200nM,0.37033218196621237 -1841,CCATCCCTGCCTCAGGAGACTACGTGGCCA,CCDC101,52.56,154.0,0.483221477,0,AZD_200nM,0.667550443614273 -1842,GAAGCCCTGGCGACCTCCAGCCCCAGGCCC,CD15,53.77,285.0,0.402930403,0,nodrug,0.5052936918351284 -1843,CAGCCCCTGTTTCCTGGACAGTGGCGGGGC,CD15,66.04,350.0,0.8608058609999999,1,nodrug,0.510751882981066 -1844,AATGCCCTTATGCACGTCTGTGTGGGGCAC,MED12,48.83,1063.0,0.925324675,1,AZD_200nM,0.6769893232508983 -1845,AATGCCCTTATGCACGTCTGTGTGGGGCAC,MED12,48.83,1063.0,0.872294372,1,PLX_2uM,0.6769893232508983 -1846,TTCTCCCTTCAAGCTGGCCTCGAGTGGGAA,TADA1,44.18,148.0,0.42201834899999996,0,AZD_200nM,0.47511027291096314 -1847,TTTTCCCTTCAGAAAACAAGATTTTGGTAA,CD28,10.09,22.0,0.648648649,0,nodrug,0.2954174225811303 -1848,TTTTCCCTTCCGGAGAGAGGCTCCAGGAGT,NF1,23.11,656.0,0.573369565,0,PLX_2uM,0.4727874181587388 -1849,AATACCCTTCCTGACACTGGTCGCAGGAAG,MED12,4.18,91.0,0.689393939,0,AZD_200nM,0.5902906220119389 -1850,AATACCCTTCCTGACACTGGTCGCAGGAAG,MED12,4.18,91.0,0.6504329000000001,0,PLX_2uM,0.5902906220119389 -1851,GGGTCCGACGGGCGACTCCTCCGCGGGTAC,H2-K,35.77,132.0,0.75147929,0,nodrug,0.6026540930629152 -1852,AGGCCCGAGCACCCTCTTACCTGTGGGCTC,CD5,31.38,155.0,0.263598326,0,nodrug,0.6195131579601532 -1853,AGCACCGAGGAGTGAGTAGTCCTGGGGCCC,CD33,52.2,190.0,0.7813852809999999,0,nodrug,0.7121486128277805 -1854,ATCTCCGAGGCGGGTGTGGACAGCGGGTGG,CD13,47.05,455.0,0.69010989,0,nodrug,0.45047068185978173 -1855,GCTTCCGCACGTACATGTCCACGTGGGCGC,TADA2B,49.05,206.0,0.878947368,1,AZD_200nM,0.7294720177737586 -1856,TGGACCGCAGGTTGGGGTGGATCCTGGTGT,CD13,81.49,788.0,0.40989011,0,nodrug,0.34526151004439776 -1857,GGCCCCGCCACTGTCCAGGAAACAGGGGCT,CD15,66.6,353.0,0.897435897,1,nodrug,0.5533592647064182 -1858,TTCACCGCCAGCGCTTGGCAGCCAAGGAGG,TADA1,97.91,328.0,0.018348623999999997,0,AZD_200nM,0.20810863769705112 -1859,ACTGCCGCCATGAGAATAACACCAAGGATA,THY1,27.16,44.0,0.7419354840000001,0,nodrug,0.750555626785322 -1860,TGGCCCGCCGCAATGGCACTGGGCCGGGCC,CD13,31.64,306.0,0.48021978,0,nodrug,0.337704644629523 -1861,CGCTCCGCCTCGCGTGCTTCCTGCAGGTCC,NF2,77.14,459.0,0.5067264570000001,0,PLX_2uM,0.400222859004885 -1862,ATGGCCGCGCACAGGCCGGTGGAATGGGTC,NF1,0.28,8.0,0.434782609,0,PLX_2uM,0.4128280753940737 -1863,TGCCCCGCGGCGCCTTCATCCACGTGGACG,CD15,86.42,458.0,0.750915751,0,nodrug,0.5720380933974014 -1864,ACCGCCGCTACCACGGCTACCAGCTGGTGG,TADA2B,12.38,52.0,0.763157895,0,AZD_200nM,0.5487982109799983 -1865,CCACCCGCTCCTTGTTGCTGCTGGAGGAGG,CD13,38.88,376.0,0.16043956,0,nodrug,0.5737369839868887 -1866,CCTTCCGCTGAGCCTGATCTGCCTAGGTGG,CD5,26.72,132.0,0.874476987,1,nodrug,0.5539871285808401 -1867,GGTACCGCTGCAGTTCTCGGATCTTGGCCC,TADA2B,68.57,288.0,0.057894737,0,AZD_200nM,0.3562066163112189 -1868,GAACCCGCTGTGTTGGTTTACCACAGGCGA,CUL3,82.94,637.0,0.33766233799999995,0,PLX_2uM,0.5565033182958029 -1869,CACCCCGGAAGACCATGCGCAGAGGGGTGC,CCDC101,39.59,116.0,0.946308725,1,AZD_200nM,0.7138230162676603 -1870,CTTCCCGGACTCCCCAAGAGGTGATGGAGC,TADA2B,25.24,106.0,0.563157895,0,AZD_200nM,0.5306796948526487 -1871,GGGCCCGGCCCAGTGCCATTGCGGCGGGCC,CD13,32.06,310.0,0.796703297,0,nodrug,0.4837429469793308 -1872,GGCCCCGGCCCCGCGCCTATTACCTGGAGC,MED12,79.83,1738.0,0.076839827,0,AZD_200nM,0.3206379921387567 -1873,GGCCCCGGCCCCGCGCCTATTACCTGGAGC,MED12,79.83,1738.0,0.015151515,0,PLX_2uM,0.3206379921387567 -1874,TGGACCGGCGAGTGGCTCGAGGAGAGGAGC,MED12,78.87,1717.0,0.5865800870000001,0,AZD_200nM,0.5238177659421105 -1875,TGGACCGGCGAGTGGCTCGAGGAGAGGAGC,MED12,78.87,1717.0,0.681818182,0,PLX_2uM,0.5238177659421105 -1876,GGCGCCGGCTCAGGGTGTGTCTCCTGGGGG,CCDC101,68.94,202.0,0.275167785,0,AZD_200nM,0.23841191116080965 -1877,GGCACCGGCTGCCCCGGCCCGCCCCGGCCG,CD15,73.4,389.0,0.428571429,0,nodrug,0.35743312963350254 -1878,GAGGCCGGGGACCAGGGGCTCCAAAGGCAA,MED12,28.8,627.0,0.344155844,0,AZD_200nM,0.4380745365919993 -1879,GAGGCCGGGGACCAGGGGCTCCAAAGGCAA,MED12,28.8,627.0,0.369047619,0,PLX_2uM,0.4380745365919993 -1880,TCGGCCGGGGCGGGCCGGGGCAGCCGGTGC,CD15,74.15,393.0,0.124542125,0,nodrug,0.2137617426307076 -1881,GGGCCCGGGTCGGAGCGGCCCTTATGGTGT,MED12,83.19,1811.0,0.014069264,0,AZD_200nM,0.21861355278728298 -1882,GGGCCCGGGTCGGAGCGGCCCTTATGGTGT,MED12,83.19,1811.0,0.043290043,0,PLX_2uM,0.21861355278728298 -1883,CTGCCCGGGTGAAGGCCGTGGATGGGGACG,CCDC101,58.02,170.0,0.771812081,0,AZD_200nM,0.4807214421902448 -1884,CTTACCGGTGCCATTCGTATTGCTGGGTGT,NF1,16.17,459.0,0.47554347799999996,0,PLX_2uM,0.5517466352412435 -1885,TAGCCCGTCACATTGAGGTTCAGCAGGACC,CD13,64.32,622.0,0.413186813,0,nodrug,0.5473677461664092 -1886,GAAGCCGTCAGCACCACTCTCTTGGGGCTG,MED12,78.14,1701.0,0.435064935,0,AZD_200nM,0.4741964803756509 -1887,GAAGCCGTCAGCACCACTCTCTTGGGGCTG,MED12,78.14,1701.0,0.41991342,0,PLX_2uM,0.4741964803756509 -1888,AAGGCCGTGGATGGGGACGAGCAGTGGATC,CCDC101,59.39,174.0,0.47651006700000004,0,AZD_200nM,0.5577971986678191 -1889,ACCGCCGTGTCCCGGCCCGGCCTCGGGGAG,H2-K,10.3,38.0,0.071005917,0,nodrug,0.2422084888133539 -1890,GGTACCTAAGAATGTCAGGTCTCCAGGATT,MED12,36.89,803.0,0.135281385,0,AZD_200nM,0.444231033789545 -1891,GGTACCTAAGAATGTCAGGTCTCCAGGATT,MED12,36.89,803.0,0.15259740300000002,0,PLX_2uM,0.444231033789545 -1892,TTTTCCTACTTGTTCAGTCCATGGTGGTTG,NF1,12.29,349.0,0.819293478,1,PLX_2uM,0.7274607168890074 -1893,TTACCCTAGCCAACTTCACCACCAAGGATG,THY1,59.88,97.0,0.919354839,1,nodrug,0.7160202046243961 -1894,CCCACCTAGGCAGATCAGGCTCAGCGGAAG,CD5,26.11,129.0,0.9623430959999999,1,nodrug,0.6931798993823927 -1895,TGCTCCTATTGTGCCTCTGAATCCTGGAGA,MED12,36.75,800.0,0.148268398,0,AZD_200nM,0.43897973150684005 -1896,TGCTCCTATTGTGCCTCTGAATCCTGGAGA,MED12,36.75,800.0,0.271645022,0,PLX_2uM,0.43897973150684005 -1897,AGGACCTCAAACAGAAGCTTCCCAAGGCTT,CD45,86.28,975.0,0.628158845,0,nodrug,0.5821978419157766 -1898,AATTCCTCAAACTTTGAACTGGTAAGGTTA,NF1,55.13,1565.0,0.055706522,0,PLX_2uM,0.49412119036251134 -1899,TACCCCTCAAAGACCTGTGCCATCTGGTCC,MED12,43.36,944.0,0.204545455,0,AZD_200nM,0.4968166382991405 -1900,TACCCCTCAAAGACCTGTGCCATCTGGTCC,MED12,43.36,944.0,0.24675324699999998,0,PLX_2uM,0.4968166382991405 -1901,TGCACCTCAAGGGCTCCCTGGTGAAGGACA,CD13,17.68,171.0,0.9010989009999999,1,nodrug,0.5708954149770865 -1902,TTCTCCTCACTAGACTTGACCCACAGGCCC,CD33,39.29,143.0,0.742424242,0,nodrug,0.6232040838836608 -1903,ACACCCTCAGCCAGGGGCACAGGGTGGTCC,CD13,14.06,136.0,0.618681319,0,nodrug,0.7490140675790878 -1904,GTGGCCTCATCGACTTTGCCATTCAGGTGG,MED12,41.07,894.0,0.083333333,0,AZD_200nM,0.16926357252565982 -1905,GTGGCCTCATCGACTTTGCCATTCAGGTGG,MED12,41.07,894.0,0.04004329,0,PLX_2uM,0.16926357252565982 -1906,GCGACCTCATCTCCTTCCACACGGTGGATG,CD5,66.6,329.0,0.5606694560000001,0,nodrug,0.6699092495602252 -1907,TCCTCCTCCAGCAGCAACAAGGAGCGGGTG,CD13,39.3,380.0,0.48351648399999997,0,nodrug,0.586124547955499 -1908,TCCACCTCCTCGGCAGTGTGCGCCTGGATG,CD15,48.49,257.0,0.267399267,0,nodrug,0.3925083711990797 -1909,TTCTCCTCCTCTTTGGGGCATGCTGGGTCC,CD43,3.04,12.0,0.043478261,0,nodrug,0.38769023622961085 -1910,CTGACCTCCTGCAGGTGGTCCCACAGGTTC,CD13,53.57,518.0,0.089010989,0,nodrug,0.5052770889568149 -1911,ATCACCTCCTTCTGGGACGAGCCTTGGTGC,CD15,94.91,503.0,0.032967033,0,nodrug,0.3060008877756231 -1912,AGCCCCTCCTTGGCTGCCAAGCGCTGGCGG,TADA1,97.01,325.0,0.036697247999999995,0,AZD_200nM,0.17160557830923998 -1913,CTGCCCTCGGGACACCTGCAAGACTGGCAC,THY1,8.64,14.0,0.37096774200000004,0,nodrug,0.4561982846173513 -1914,CCGGCCTCGGGGAGCCCCGGTACATGGAAG,H2-K,11.65,43.0,0.5739644970000001,0,nodrug,0.43977399117382565 -1915,CCTCCCTCTACAGCCAGGTGCACCAGGTAC,MED12,69.27,1508.0,0.356060606,0,AZD_200nM,0.4700088921340835 -1916,CCTCCCTCTACAGCCAGGTGCACCAGGTAC,MED12,69.27,1508.0,0.433982684,0,PLX_2uM,0.4700088921340835 -1917,TGCTCCTCTCCTCGAGCCACTCGCCGGTCC,MED12,78.69,1713.0,0.640692641,0,AZD_200nM,0.4795292476185293 -1918,TGCTCCTCTCCTCGAGCCACTCGCCGGTCC,MED12,78.69,1713.0,0.812770563,1,PLX_2uM,0.4795292476185293 -1919,GGAGCCTCTCTCCGGAAGGGAAAAGGGAAC,NF1,23.32,662.0,0.644021739,0,PLX_2uM,0.46020426606693837 -1920,CACCCCTCTGCGCATGGTCTTCCGGGGTGG,CCDC101,38.23,112.0,0.630872483,0,AZD_200nM,0.6486367393343409 -1921,CTCACCTCTGTCTTGGTAGCTGGCTGGCTG,MED12,82.45,1795.0,0.621212121,0,AZD_200nM,0.4370672258749743 -1922,CTCACCTCTGTCTTGGTAGCTGGCTGGCTG,MED12,82.45,1795.0,0.544372294,0,PLX_2uM,0.4370672258749743 -1923,ACTGCCTCTTGAGAATGGCTTACTTGGATT,NF1,12.75,362.0,0.023097826000000002,0,PLX_2uM,0.3682695870583651 -1924,ACTCCCTCTTGGAGAACATCGCCAAGGCCA,MED12,63.53,1383.0,0.922077922,1,AZD_200nM,0.6861120257299307 -1925,ACTCCCTCTTGGAGAACATCGCCAAGGCCA,MED12,63.53,1383.0,0.9491341990000001,1,PLX_2uM,0.6861120257299307 -1926,AAGACCTGAAAACGTGGACGGCGGCGGACA,H2-K,42.28,156.0,0.36094674600000004,0,nodrug,0.5454718381526287 -1927,CCCACCTGAATGGCAAAGTCGATGAGGCCA,MED12,40.88,890.0,0.758658009,0,AZD_200nM,0.6455560481719603 -1928,CCCACCTGAATGGCAAAGTCGATGAGGCCA,MED12,40.88,890.0,0.793290043,0,PLX_2uM,0.6455560481719603 -1929,TGTCCCTGACCCCACAGAAACTGATGGGCT,CD43,12.41,49.0,0.543478261,0,nodrug,0.5869296444393249 -1930,TCATCCTGACCCTTGTACTCCTGGTGGTGC,CD5,78.74,389.0,0.8870292890000001,1,nodrug,0.608022592105291 -1931,AAAACCTGACCTGCTCTGTGTCCTGGGCCT,CD33,45.6,166.0,0.248917749,0,nodrug,0.4810144572738271 -1932,TCACCCTGACCTGGCAGTTGAATGGGGAGG,H2-K,65.31,241.0,0.414201183,0,nodrug,0.6571518898349086 -1933,CGGGCCTGAGCCCCGCGCCATGGCCGGGGC,NF2,0.17,1.0,0.112107623,0,PLX_2uM,0.24871173423667944 -1934,CACACCTGAGCCGTGACCTGGTGTTGGTCA,MED12,38.68,842.0,0.99025974,1,AZD_200nM,0.6914274039617639 -1935,CACACCTGAGCCGTGACCTGGTGTTGGTCA,MED12,38.68,842.0,0.9783549779999999,1,PLX_2uM,0.6914274039617639 -1936,GCATCCTGAGGACTGAGGCGCCCTGGGGTG,CD13,49.64,480.0,0.589010989,0,nodrug,0.38488587236983723 -1937,AAGGCCTGAGGTGCACAGGTGTGGTGGAAT,CD5,35.02,173.0,0.757322176,0,nodrug,0.6039784809022879 -1938,AGCGCCTGATGGAGCAGAAGGTGCTGGAAG,NF2,72.27,430.0,0.69955157,0,PLX_2uM,0.4560100827518607 -1939,ATATCCTGATTCATCAGGCTTTAGTGGAAT,CD45,65.04,735.0,0.064981949,0,nodrug,0.3251433408533926 -1940,AGGACCTGCAGGAAGCACGCGAGGCGGAGC,NF2,77.82,463.0,0.856502242,1,PLX_2uM,0.5999836644775931 -1941,AGGGCCTGCAGGAAGTGGGGGCTGTGGTTC,MED12,9.83,214.0,0.243506494,0,AZD_200nM,0.4637272314013515 -1942,AGGGCCTGCAGGAAGTGGGGGCTGTGGTTC,MED12,9.83,214.0,0.294372294,0,PLX_2uM,0.4637272314013515 -1943,TCCTCCTGCAGTTTCTGGATACACAGGCTC,MED12,26.46,576.0,0.885281385,1,AZD_200nM,0.6025535006693664 -1944,TCCTCCTGCAGTTTCTGGATACACAGGCTC,MED12,26.46,576.0,0.807359307,1,PLX_2uM,0.6025535006693664 -1945,CTTTCCTGCCTCAGGATGAACTGACGGCCT,MED12,1.65,36.0,0.538961039,0,AZD_200nM,0.5847731249596381 -1946,CTTTCCTGCCTCAGGATGAACTGACGGCCT,MED12,1.65,36.0,0.494588745,0,PLX_2uM,0.5847731249596381 -1947,GCTTCCTGCGACCAGTGTCAGGAAGGGTAT,MED12,4.0,87.0,0.633116883,0,AZD_200nM,0.6410930316685168 -1948,GCTTCCTGCGACCAGTGTCAGGAAGGGTAT,MED12,4.0,87.0,0.594155844,0,PLX_2uM,0.6410930316685168 -1949,CTACCCTGCTAGAGCCTGAGAAAAAGGCTC,MED12,80.89,1761.0,0.058441558,0,AZD_200nM,0.19574686525311624 -1950,CTACCCTGCTAGAGCCTGAGAAAAAGGCTC,MED12,80.89,1761.0,0.017316017,0,PLX_2uM,0.19574686525311624 -1951,GGGTCCTGCTGAACCTCAATGTGACGGGCT,CD13,64.74,626.0,0.674725275,0,nodrug,0.5451075326147226 -1952,GCAGCCTGCTGCTCAGCATCATCAGGGGGT,TADA1,74.93,251.0,0.39449541299999996,0,AZD_200nM,0.48327373169478993 -1953,TGCTCCTGCTGTTGGCGGCCGCCCTGGCTC,H2-K,3.52,13.0,0.384615385,0,nodrug,0.44971284428455066 -1954,GTGACCTGCTTCTTCAGGTAGTTCTGGGGA,CD13,74.46,720.0,0.20879120899999998,0,nodrug,0.15198288080500938 -1955,AAATCCTGCTTCTTTACAGGTTATTGGAAG,NF1,72.21,2050.0,0.254076087,0,PLX_2uM,0.14432243381028506 -1956,AAGGCCTGGAAGCAGAGGGCAAAGTGGATG,CD45,62.3,704.0,0.80866426,1,nodrug,0.692304513413502 -1957,TTGGCCTGGACGGCGTAAGAAGCCAGGAGC,NF2,23.87,142.0,0.757847534,0,PLX_2uM,0.5674862092565469 -1958,GAATCCTGGAGACCTGACATTCTTAGGTAC,MED12,37.02,806.0,0.08008658,0,AZD_200nM,0.2847370396408851 -1959,GAATCCTGGAGACCTGACATTCTTAGGTAC,MED12,37.02,806.0,0.045454545,0,PLX_2uM,0.2847370396408851 -1960,TACTCCTGGAGCCTCTCTCCGGAAGGGAAA,NF1,23.21,659.0,0.274456522,0,PLX_2uM,0.635697883041743 -1961,GTGTCCTGGCACCAGCTGCAATCTGGGAGG,CD5,32.19,159.0,0.322175732,0,nodrug,0.43951274010363606 -1962,TCCTCCTGGCGTCTACGATGCTCAGGGAGC,CD33,28.57,104.0,0.8939393940000001,1,nodrug,0.6356165818085073 -1963,CTGTCCTGGCTGCTTTCCTCCTGTGGGTCT,CD33,78.57,286.0,0.393939394,0,nodrug,0.4395273023252388 -1964,TGCACCTGGCTGTAGAGGGAGGTAAGGAGT,MED12,68.95,1501.0,0.49025974,0,AZD_200nM,0.5133274131215179 -1965,TGCACCTGGCTGTAGAGGGAGGTAAGGAGT,MED12,68.95,1501.0,0.510822511,0,PLX_2uM,0.5133274131215179 -1966,TGCTCCTGGCTTCTTACGCCGTCCAGGCCA,NF2,24.54,146.0,0.556053812,0,PLX_2uM,0.5204292889060835 -1967,CGCTCCTGGGAACACTTACTGTTCTGGTTC,CD5,86.03,425.0,0.146443515,0,nodrug,0.2774940030911688 -1968,TTCTCCTGGGCACAGAGGAACCCGGGGGAG,CD5,68.42,338.0,0.564853556,0,nodrug,0.619602191103779 -1969,TGCGCCTGGGCACTACTCAACACTGGGTCT,MED12,60.22,1311.0,0.05952381,0,AZD_200nM,0.5838332219214596 -1970,TGCGCCTGGGCACTACTCAACACTGGGTCT,MED12,60.22,1311.0,0.088744589,0,PLX_2uM,0.5838332219214596 -1971,GCATCCTGGGGATCCTCCTGGGCGTGGCAG,CD13,1.96,19.0,0.058241758,0,nodrug,0.4628924203023826 -1972,TAGTCCTGGGGCCCAGGGAGGTGGGGGCAG,CD33,50.82,185.0,0.25974026,0,nodrug,0.3875767561464091 -1973,GGGGCCTGGGGCTGGAGGTCGCCAGGGCTT,CD15,53.02,281.0,0.93040293,1,nodrug,0.5567879079509601 -1974,GCTACCTGGTATTCAGCCTCCAGAGGGGAG,CD45,68.14,770.0,0.909747292,1,nodrug,0.560991091380998 -1975,TGTACCTGGTGCACCTGGCTGTAGAGGGAG,MED12,69.09,1504.0,0.35281385299999996,0,AZD_200nM,0.45646142519660476 -1976,TGTACCTGGTGCACCTGGCTGTAGAGGGAG,MED12,69.09,1504.0,0.324675325,0,PLX_2uM,0.45646142519660476 -1977,GTGACCTGGTGGTTATGGGATCTTGGGTAG,CD43,59.49,235.0,0.39130434799999997,0,nodrug,0.4692155464062043 -1978,TCTTCCTGTGCCTGCAGAAGGAGTTGGGGG,MED12,74.55,1623.0,0.29004329,0,AZD_200nM,0.28762445490594624 -1979,TCTTCCTGTGCCTGCAGAAGGAGTTGGGGG,MED12,74.55,1623.0,0.224025974,0,PLX_2uM,0.28762445490594624 -1980,TCCTCCTGTGCTGTCCTAGTGCCTTGGTTT,MED12,17.27,376.0,0.7218614720000001,0,AZD_200nM,0.5481693634932259 -1981,TCCTCCTGTGCTGTCCTAGTGCCTTGGTTT,MED12,17.27,376.0,0.742424242,0,PLX_2uM,0.5481693634932259 -1982,TGAACCTGTGGGACCACCTGCAGGAGGTCA,CD13,53.98,522.0,0.735164835,0,nodrug,0.6990486331501844 -1983,CTCGCCTGTGGTAAACCAACACAGCGGGTT,CUL3,83.46,641.0,0.7012987009999999,0,PLX_2uM,0.6974964125203434 -1984,GGAGCCTGTGTATCCAGAAACTGCAGGAGG,MED12,26.27,572.0,0.930735931,1,AZD_200nM,0.6615441851452074 -1985,GGAGCCTGTGTATCCAGAAACTGCAGGAGG,MED12,26.27,572.0,0.927489177,1,PLX_2uM,0.6615441851452074 -1986,GCCGCCTGTTGCTGCTGTTGCTGCTGGTGT,MED12,97.29,2118.0,0.08982684,0,AZD_200nM,0.15072056264865863 -1987,GCCGCCTGTTGCTGCTGTTGCTGCTGGTGT,MED12,97.29,2118.0,0.13203463199999999,0,PLX_2uM,0.15072056264865863 -1988,AGCCCCTGTTTCCTGGACAGTGGCGGGGCC,CD15,65.85,349.0,0.450549451,0,nodrug,0.3775800813865651 -1989,TTTTCCTTACAGGAAGAGCGTTCGCGGAGC,CCDC101,9.9,29.0,0.429530201,0,AZD_200nM,0.5665302661824292 -1990,TTAACCTTACCAGTTCAAAGTTTGAGGAAT,NF1,55.27,1569.0,0.096467391,0,PLX_2uM,0.4251594774243309 -1991,CTCTCCTTACCCCATCTCAGGGTGAGGGGC,H2-K,79.13,292.0,0.171597633,0,nodrug,0.42675444887435143 -1992,GACTCCTTACCTCCCTCTACAGCCAGGTGC,MED12,69.13,1505.0,0.6980519479999999,0,AZD_200nM,0.5424894644551584 -1993,GACTCCTTACCTCCCTCTACAGCCAGGTGC,MED12,69.13,1505.0,0.9004329,1,PLX_2uM,0.5424894644551584 -1994,TCCTCCTTAGGCTTCACCATTGGACGGGTA,MED12,20.85,454.0,0.734848485,0,AZD_200nM,0.5965529923695198 -1995,TCCTCCTTAGGCTTCACCATTGGACGGGTA,MED12,20.85,454.0,0.707792208,0,PLX_2uM,0.5965529923695198 -1996,TCTCCCTTCAAGCTGGCCTCGAGTGGGAAG,TADA1,44.18,148.0,0.49541284399999996,0,AZD_200nM,0.5889640530884259 -1997,GGTCCCTTCAATCTTCTCCTTGGGTGGGGG,MED12,32.84,715.0,0.34956709999999996,0,AZD_200nM,0.4205511882324764 -1998,GGTCCCTTCAATCTTCTCCTTGGGTGGGGG,MED12,32.84,715.0,0.33658008700000003,0,PLX_2uM,0.4205511882324764 -1999,CTGTCCTTCACCAGGGAGCCCTTGAGGTGC,CD13,17.27,167.0,0.47802197799999996,0,nodrug,0.5277381714961428 -2000,GGCCCCTTCACGAGGTCGCGGTGGTGGAAA,CD15,45.09,239.0,0.7838827840000001,0,nodrug,0.4786584643061734 -2001,GCTGCCTTCAGCCTCCTTGTGCTCTGGGTC,MED12,29.67,646.0,0.21861471899999999,0,AZD_200nM,0.2724712355790442 -2002,GCTGCCTTCAGCCTCCTTGTGCTCTGGGTC,MED12,29.67,646.0,0.225108225,0,PLX_2uM,0.2724712355790442 -2003,ACAACCTTCTCGCAAAGGAATTCCGGGCAT,CD28,23.85,52.0,0.22972973,0,nodrug,0.36750200014294454 -2004,TGCTCCTTCTGGAACAAGGCCTCAGGGTCC,CCDC101,76.79,225.0,0.597315436,0,AZD_200nM,0.4637992378354196 -2005,ACCTCCTTCTGTTTGGGGTCCTGAGGGTAA,MED12,1.24,27.0,0.445887446,0,AZD_200nM,0.528018945077079 -2006,ACCTCCTTCTGTTTGGGGTCCTGAGGGTAA,MED12,1.24,27.0,0.415584416,0,PLX_2uM,0.528018945077079 -2007,ACCACCTTGGACCAAAGTAAAGCGTGGAAT,CD13,7.24,70.0,0.8780219779999999,1,nodrug,0.7196646687270282 -2008,GTGGCCTTGGCGATGTTCTCCAAGAGGGAG,MED12,63.34,1379.0,0.62987013,0,AZD_200nM,0.7109534884681399 -2009,GTGGCCTTGGCGATGTTCTCCAAGAGGGAG,MED12,63.34,1379.0,0.6158008660000001,0,PLX_2uM,0.7109534884681399 -2010,CCCTCCTTGGCTGCCAAGCGCTGGCGGTGA,TADA1,96.72,324.0,0.183486239,0,AZD_200nM,0.2747126913506995 -2011,GAAGCCTTGGGAAGCTTCTGTTTGAGGTCC,CD45,85.93,971.0,0.144404332,0,nodrug,0.27131424420156264 -2012,TCATCCTTGGTGGTGAAGTTGGCTAGGGTA,THY1,57.41,93.0,0.661290323,0,nodrug,0.47303680119618663 -2013,TTATCCTTGGTGTTATTCTCATGGCGGCAG,THY1,24.69,40.0,0.8870967740000001,1,nodrug,0.6792780049433874 -2014,CTTGCCTTTGGAGCCCCTGGTCCCCGGCCT,MED12,28.98,631.0,0.864718615,1,AZD_200nM,0.5087105023106983 -2015,CTTGCCTTTGGAGCCCCTGGTCCCCGGCCT,MED12,28.98,631.0,0.7781385279999999,0,PLX_2uM,0.5087105023106983 -2016,TCTACGAAAAGCTCTTGCTGGCCATGGAGG,NF1,10.88,309.0,0.073369565,0,PLX_2uM,0.4931593545174702 -2017,GTGACGAAATACCTCAGCGAGTGTGGGCCT,H2-K,6.5,24.0,0.834319527,1,nodrug,0.6449380917959366 -2018,GGGTCGAACAGCAGGGAGTTCTCCCGGTAG,CD13,37.64,364.0,0.492307692,0,nodrug,0.6072186407108104 -2019,TTTTCGAACGCACCTCCTTCTGTTTGGGGT,MED12,1.42,31.0,0.087662338,0,AZD_200nM,0.25271073312740777 -2020,TTTTCGAACGCACCTCCTTCTGTTTGGGGT,MED12,1.42,31.0,0.081168831,0,PLX_2uM,0.25271073312740777 -2021,AAAACGAACTAGATTTGACAGCCATGGAGT,NF1,68.79,1953.0,0.7472826090000001,0,PLX_2uM,0.5618484257057591 -2022,CCAGCGAACTTCACCTGACAGGTCAGGTTG,CD33,57.97,211.0,0.761904762,0,nodrug,0.5667216887204769 -2023,TGAACGAAGACCTGAAAACGTGGACGGCGG,H2-K,41.73,154.0,0.905325444,1,nodrug,0.6751461111524287 -2024,TCATCGAAGCATGGGAAGGACTTCCGGGCA,CD13,22.65,219.0,0.36923076899999996,0,nodrug,0.3001505815352141 -2025,GAGGCGAAGCCCTCGTTCAGCCACAGGTCA,CD13,42.19,408.0,0.674725275,0,nodrug,0.5613707446586472 -2026,TCGTCGAAGCGGCTGACCACGGCCTGGACC,NF1,0.42,12.0,0.798913043,0,PLX_2uM,0.49901986419662253 -2027,GACTCGAAGGAGACCATCAGCCCCTGGGGG,CD43,16.2,64.0,0.333333333,0,nodrug,0.5245427519020857 -2028,CCGTCGAAGTTTGAGGAGCAGGTGAGGGTC,CD45,58.05,656.0,0.415162455,0,nodrug,0.5415131827746826 -2029,GAGGCGAATGTCCCATGTGAGTGGAGGAGG,NF1,28.92,821.0,0.255434783,0,PLX_2uM,0.5914830194407428 -2030,CCCCCGACATTGACAAGACTGAGCTGGTGG,CD13,15.93,154.0,0.618681319,0,nodrug,0.5849976765723831 -2031,ACTACGACCCCAGTGTTCACAAGCGGGGAT,NF2,26.72,159.0,0.7533632290000001,0,PLX_2uM,0.5501949067605072 -2032,TCACCGACCGCGCGTCCTACGGAGAGGCTC,CD15,43.4,230.0,0.9010989009999999,1,nodrug,0.7237094049324626 -2033,GTGGCGACCTCATCTCCTTCCACACGGTGG,CD5,66.4,328.0,0.828451883,1,nodrug,0.6454467152302378 -2034,TCGCCGACGGCGGCGGCGGGCGGGCGGCGC,CD15,26.23,139.0,0.010989011000000002,0,nodrug,0.39610851420762455 -2035,GTCGCGACGGGGTTGGCGACGCCCAGGGCA,CD15,34.15,181.0,0.593406593,0,nodrug,0.45510768333848756 -2036,ACATCGACTGCTGGACAATGAGGATGGGGA,MED12,61.28,1334.0,0.37662337700000004,0,AZD_200nM,0.511690365985489 -2037,ACATCGACTGCTGGACAATGAGGATGGGGA,MED12,61.28,1334.0,0.34848484799999996,0,PLX_2uM,0.511690365985489 -2038,CTAACGAGACCAGTGGACCCTCTGTGGCTA,CD43,43.8,173.0,0.6521739129999999,0,nodrug,0.7026411825667027 -2039,AATCCGAGATATGAGCCGCGGGCGCGGTGG,H2-K,18.97,70.0,0.532544379,0,nodrug,0.5802157842905623 -2040,TTTTCGAGATCAAGTTGTACGTTATGGGTG,CUL3,19.92,153.0,0.175324675,0,PLX_2uM,0.29785154580467577 -2041,ACGCCGAGATGGAGTTCAATTGCGAGGTAA,NF2,6.22,37.0,0.928251121,1,PLX_2uM,0.6689398001552731 -2042,TCCCCGAGATGGGGGTCTACCTGGTGGGCC,CD13,40.64,393.0,0.6373626370000001,0,nodrug,0.549594690859821 -2043,TGCTCGAGATGTGATGAAGGAGATGGGAGG,HPRT1,25.69,56.0,0.484375,0,6TG_2ug/mL,0.6163405803338683 -2044,AGATCGAGCAGCAGATCAAGGAGCGGGGAC,MED12,19.75,430.0,0.384199134,0,AZD_200nM,0.5087381669526282 -2045,AGATCGAGCAGCAGATCAAGGAGCGGGGAC,MED12,19.75,430.0,0.36796536799999996,0,PLX_2uM,0.5087381669526282 -2046,GGGACGAGCAGTGGATCCTGGCCGAGGTGG,CCDC101,60.75,178.0,0.268456376,0,AZD_200nM,0.539417450654386 -2047,GTGGCGAGCCCAGACAGTCTGCAGAGGACG,CD43,5.82,23.0,0.702898551,0,nodrug,0.6798192866281428 -2048,TCGGCGAGCCCCACGGTGCCCCCATGGCGC,CD15,23.96,127.0,0.424908425,0,nodrug,0.48905286537667986 -2049,CATTCGAGCGAAACTGGGGCTGATAGGTAA,CD28,34.86,76.0,0.35135135100000003,0,nodrug,0.423053926424794 -2050,AGATCGAGCTGAAGCGCGCCCACGTGGACA,TADA2B,48.81,205.0,0.657894737,0,AZD_200nM,0.616921017987664 -2051,ACGCCGAGGAGAGACTCACCGGAAAGGCCC,CUL3,2.86,22.0,0.993506494,1,PLX_2uM,0.675479307657438 -2052,TCACCGAGGAGGAGGCAAAACTTCTGGCCC,NF2,66.72,397.0,0.28251121100000004,0,PLX_2uM,0.3794331372694794 -2053,AGTACGAGGCAGCGCGGCATAAACGGGAGA,TADA2B,74.76,314.0,0.089473684,0,AZD_200nM,0.38412538091734194 -2054,GCCCCGAGGCCGCCCCCTGACTGCCGGCTG,CD15,39.81,211.0,0.831501832,1,nodrug,0.4506812467796607 -2055,CGCACGAGGGATGAGTTGGAGAGGAGGCTG,NF2,60.17,358.0,0.29147982100000003,0,PLX_2uM,0.6044002172398621 -2056,TGAACGAGGGCTTCGCCTCCTACGTGGAGT,CD13,43.02,416.0,0.832967033,1,nodrug,0.6867260175736181 -2057,GAGTCGAGGGTGTGCTGCTAGTTGGGGGCT,MED12,15.53,338.0,0.743506494,0,AZD_200nM,0.5501634252696319 -2058,GAGTCGAGGGTGTGCTGCTAGTTGGGGGCT,MED12,15.53,338.0,0.824675325,1,PLX_2uM,0.5501634252696319 -2059,GCTCCGAGGTCTATGGCCCCATGAAGGTAC,CD13,74.25,718.0,0.567032967,0,nodrug,0.5166731035587506 -2060,AAGCCGAGGTGCTGGCACTGAAGATGGCTG,NF2,73.78,439.0,0.286995516,0,PLX_2uM,0.4503489979995257 -2061,ACTTCGAGTCGCCCTCGCACTCCCCGGGGC,CD15,57.17,303.0,0.35897435899999997,0,nodrug,0.44423611110568856 -2062,CTTTCGAGTGAGCCCAGGCCTCCGGGGAGT,CD28,89.91,196.0,0.689189189,0,nodrug,0.5044126639130836 -2063,AGCCCGAGTGCCTTCCTCCATGCTTGGCCA,CD45,52.65,595.0,0.49458483799999997,0,nodrug,0.5134217329201826 -2064,AATGCGATATTGAGCAGTGTCCCAGGGACA,NF1,65.23,1852.0,0.6521739129999999,0,PLX_2uM,0.7058850760465898 -2065,CAGCCGATCCATAAATTTGCTGACAGGTGT,NF1,31.42,892.0,0.172554348,0,PLX_2uM,0.5580297601276878 -2066,TGCTCGATCTCCCGCAACTTTGCACGGACC,MED12,19.25,419.0,0.194805195,0,AZD_200nM,0.5671851666018798 -2067,TGCTCGATCTCCCGCAACTTTGCACGGACC,MED12,19.25,419.0,0.196969697,0,PLX_2uM,0.5671851666018798 -2068,CTGCCGATGACCCAGAGCACAAGGAGGCTG,MED12,29.72,647.0,0.931818182,1,AZD_200nM,0.7669112103786598 -2069,CTGCCGATGACCCAGAGCACAAGGAGGCTG,MED12,29.72,647.0,0.8993506490000001,1,PLX_2uM,0.7669112103786598 -2070,CTGGCGATGATGTCATAGAGGAACTGGTAT,CD45,92.48,1045.0,0.527075812,0,nodrug,0.424531888023133 -2071,ACGGCGATTATGCCCTGAACGTGACGGGCC,CD13,33.09,320.0,0.024175824,0,nodrug,0.597702155610775 -2072,GCTTCGATTCCATCTTCAAGAAGGAGGCAT,MED12,76.89,1674.0,0.652597403,0,AZD_200nM,0.5386656932214643 -2073,GCTTCGATTCCATCTTCAAGAAGGAGGCAT,MED12,76.89,1674.0,0.647186147,0,PLX_2uM,0.5386656932214643 -2074,GAACCGCAAAGGGACAGCAGAAACTGGTGG,MED12,36.24,789.0,0.497835498,0,AZD_200nM,0.4209952484107876 -2075,GAACCGCAAAGGGACAGCAGAAACTGGTGG,MED12,36.24,789.0,0.497835498,0,PLX_2uM,0.4209952484107876 -2076,GGAACGCAAGAAGAAGTCCACCAAGGGCAA,MED12,82.09,1787.0,0.318181818,0,AZD_200nM,0.5229704204392133 -2077,GGAACGCAAGAAGAAGTCCACCAAGGGCAA,MED12,82.09,1787.0,0.23701298699999998,0,PLX_2uM,0.5229704204392133 -2078,AGTGCGCAGAATACTGGCCAAGCATGGAGG,CD45,52.57,594.0,0.166064982,0,nodrug,0.5588176121976955 -2079,GCTTCGCAGCCCCGGGGAGTGCGAGGGCGA,CD15,56.98,302.0,0.80952381,1,nodrug,0.5007235148518235 -2080,GAAGCGCAGCCGGCAGTCAGGGGGCGGCCT,CD15,39.43,209.0,0.45787545799999996,0,nodrug,0.4742592520893267 -2081,GCCACGCAGCTTTGTCCGGTAATAGGGAGA,CCDC101,18.77,55.0,0.147651007,0,AZD_200nM,0.3765594013409333 -2082,GTCCCGCAGGCTCTCACACTATTCAGGTGA,H2-K,31.44,116.0,0.088757396,0,nodrug,0.2723123269615896 -2083,GAGGCGCATTGAGCATCCCACTGCAGGAAA,NF1,27.12,770.0,0.296195652,0,PLX_2uM,0.45077340622230816 -2084,GCCCCGCCACTGTCCAGGAAACAGGGGCTG,CD15,66.79,354.0,0.9413919409999999,1,nodrug,0.6815078199014719 -2085,CCGGCGCCATGGAGAACTGGGGACTGGTGA,CD13,37.02,358.0,0.263736264,0,nodrug,0.48734722794875296 -2086,GCGCCGCCCGCCCGCCGCCGCCGTCGGCGA,CD15,25.47,135.0,0.344322344,0,nodrug,0.3499648178447478 -2087,TTCACGCCCTTGTACAGGGATGCCCGGAAT,CD28,24.77,54.0,0.094594595,0,nodrug,0.47403844976383186 -2088,GGCTCGCCGACGGCGGCGGCGGGCGGGCGG,CD15,26.04,138.0,0.179487179,0,nodrug,0.27105214735106686 -2089,GGCCCGCCGCAATGGCACTGGGCCGGGCCC,CD13,31.64,306.0,0.046153846,0,nodrug,0.2719387564342748 -2090,TCGGCGCCGGCCGAGAAGCACTCGGGGCAC,TADA2B,8.1,34.0,0.478947368,0,AZD_200nM,0.5837326317393561 -2091,TCAACGCCGGCGCCATGGAGAACTGGGGAC,CD13,36.81,356.0,0.17692307699999998,0,nodrug,0.417605852590445 -2092,ATGGCGCCGGCGTTGAAGTCTGGCAGGCCA,CD13,35.88,347.0,0.11758241800000001,0,nodrug,0.5056259003710765 -2093,TCAGCGCCGTACACGTCAAGCCGGCGGCCG,CD15,30.19,160.0,0.663003663,0,nodrug,0.6176693902382203 -2094,TGGCCGCCTCCAGCTCGCTCACAAAGGTCG,TADA1,1.49,5.0,0.733944954,0,AZD_200nM,0.587936318178446 -2095,GCTTCGCCTCCTACGTGGAGTACCTGGGTG,CD13,43.33,419.0,0.104395604,0,nodrug,0.27711921904813536 -2096,CACCCGCCTCGGAGATCAACACGCCGGCCC,CD13,47.98,464.0,0.697802198,0,nodrug,0.6795128608747234 -2097,TGTGCGCCTGGATGCCCCAGGGCGGGGGCC,CD15,47.55,252.0,0.084249084,0,nodrug,0.29959785365255315 -2098,CCTCCGCCTTACCTAGACAACGAGAGGAGC,CD28,58.26,127.0,0.77027027,0,nodrug,0.6567265404915152 -2099,TGGCCGCGCACAGGCCGGTGGAATGGGTCC,NF1,0.28,8.0,0.858695652,1,PLX_2uM,0.45851577578216646 -2100,TGTTCGCGCCATGGGGGCACCGTGGGGCTC,CD15,24.34,129.0,0.542124542,0,nodrug,0.6272703970231441 -2101,CCACCGCGCCCGCGGCTCATATCTCGGATT,H2-K,17.89,66.0,0.319526627,0,nodrug,0.4634977189417097 -2102,AGATCGCGGAAATCAAGTCTCTGTTGGAAG,CCDC101,30.72,90.0,0.161073826,0,AZD_200nM,0.43826271602891387 -2103,GCAGCGCGGCATAAACGGGAGAAGAGGAAG,TADA2B,75.48,317.0,0.44210526299999997,0,AZD_200nM,0.5463547630621066 -2104,CCCGCGCGGGTCTGAGTCGGAGCCAGGGCG,H2-K,4.07,15.0,0.18934911199999999,0,nodrug,0.31169116114631074 -2105,GCGGCGCGGGTGGCGCCGAGGCCGGGGGCT,CD15,27.55,146.0,0.161172161,0,nodrug,0.1269929226356726 -2106,AGGGCGCGGTAGAAGCAGGTAGTCTGGGGA,CCDC101,82.25,241.0,0.026845637999999998,0,AZD_200nM,0.27765683766305665 -2107,CGGGCGCGGTGGATGGAGCAGGAGGGGCCC,H2-K,20.6,76.0,0.479289941,0,nodrug,0.438406313098691 -2108,GTCACGCGGTTGGGGATGGTGTCGGGGATG,TADA2B,30.0,126.0,0.289473684,0,AZD_200nM,0.49948534048271576 -2109,ACCGCGCGTCCTACGGAGAGGCTCAGGCCG,CD15,43.77,232.0,1.0,1,nodrug,0.46748828949204974 -2110,GCAACGCGTTGCGCCAGAGCTTCTCGGTGA,CD15,80.19,425.0,0.139194139,0,nodrug,0.30907993104706555 -2111,GCAACGCTATCGCCCAGGGCGGGGAGGAGG,CD13,83.25,805.0,0.198901099,0,nodrug,0.47989173695207393 -2112,GCCTCGCTCGAGAGAAGCAGATGAGGGAGG,NF2,57.98,345.0,0.42600896899999996,0,PLX_2uM,0.5787019320865399 -2113,TCATCGCTCGGCAGTGTTTGCTCCTGGAAG,MED12,52.46,1142.0,0.116883117,0,AZD_200nM,0.40030619095067443 -2114,TCATCGCTCGGCAGTGTTTGCTCCTGGAAG,MED12,52.46,1142.0,0.096320346,0,PLX_2uM,0.40030619095067443 -2115,AAAGCGCTCGTAGTTGGCACGGTCTGGGCC,CD15,83.77,444.0,0.06959707,0,nodrug,0.2656219032886001 -2116,AACACGCTGAAACCCGATTCCTACCGGGTG,CD13,8.79,85.0,0.12857142900000001,0,nodrug,0.479462516722963 -2117,GCGGCGCTGATCACCAAACACAAGTGGGAG,H2-K,45.26,167.0,0.99408284,1,nodrug,0.619092534168652 -2118,ACGGCGCTGATCACCTACGCTTGCTGGGGG,CD15,32.26,171.0,0.28571428600000004,0,nodrug,0.22807853137354894 -2119,GTGCCGCTGATGATGATCTCCAGGAGGAGC,MED12,71.75,1562.0,0.78030303,0,AZD_200nM,0.6757332670733943 -2120,GTGCCGCTGATGATGATCTCCAGGAGGAGC,MED12,71.75,1562.0,0.7337662340000001,0,PLX_2uM,0.6757332670733943 -2121,CAGCCGCTGATGTTGAAGCGCAGCCGGCAG,CD15,40.19,213.0,0.19047619,0,nodrug,0.46564155854613976 -2122,GGTACGCTGCAAAGTCTCTGGCAGGGGCGT,CD28,96.33,210.0,0.391891892,0,nodrug,0.36679546712737215 -2123,TACTCGCTGCGGTAGAAGCCCGCCAGGTCA,CD13,19.75,191.0,0.39230769200000004,0,nodrug,0.54004846566773 -2124,AGTTCGCTGGAGCTGGTGTGACTACGGAGA,CD33,60.99,222.0,0.05411255400000001,0,nodrug,0.4898233910949373 -2125,AAGGCGCTGTCCTTGGGGCACCGCAGGTTG,MED12,87.51,1905.0,0.221861472,0,AZD_200nM,0.2647798415309596 -2126,AAGGCGCTGTCCTTGGGGCACCGCAGGTTG,MED12,87.51,1905.0,0.17965368,0,PLX_2uM,0.2647798415309596 -2127,ACGTCGCTGTTCACGCCCTTGTACAGGGAT,CD28,26.15,57.0,0.162162162,0,nodrug,0.4030183164138113 -2128,GGGCCGCTGTTGCAGGTGGCGGGTAGGATC,MED12,91.36,1989.0,0.096320346,0,AZD_200nM,0.22336794461443968 -2129,GGGCCGCTGTTGCAGGTGGCGGGTAGGATC,MED12,91.36,1989.0,0.001082251,0,PLX_2uM,0.22336794461443968 -2130,CCAGCGCTTCTTTGCTTCTGCACTTGGCTT,NF1,99.37,2821.0,0.067934783,0,PLX_2uM,0.031899704494441176 -2131,TCCACGCTTTACTTTGGTCCAAGGTGGTGG,CD13,6.72,65.0,0.254945055,0,nodrug,0.6025353599055896 -2132,AATGCGCTTTATGCGCTGCCGCTGGGGGTT,MED12,61.6,1341.0,0.16883116899999998,0,AZD_200nM,0.39880940385369096 -2133,AATGCGCTTTATGCGCTGCCGCTGGGGGTT,MED12,61.6,1341.0,0.35714285700000004,0,PLX_2uM,0.39880940385369096 -2134,TTCCCGGAACCAGTAACCATGAACTGGGGA,CD33,15.66,57.0,0.53030303,0,nodrug,0.4170115405519129 -2135,ACCACGGCACCAACCTGACCTGTCAGGTGA,CD33,58.24,212.0,0.454545455,0,nodrug,0.5179213800641645 -2136,GCTCCGGCACGGTGGTGGGTGGGGTGGTTG,CD5,29.55,146.0,0.150627615,0,nodrug,0.4610053065166504 -2137,GAGTCGGCAGAGTACGAGGCAGCGCGGCAT,TADA2B,74.05,311.0,0.726315789,0,AZD_200nM,0.6955519987604841 -2138,GATGCGGCAGGTAAGCCGGGCCCCTGGCTC,MED12,53.7,1169.0,0.841991342,1,AZD_200nM,0.5258941422487933 -2139,GATGCGGCAGGTAAGCCGGGCCCCTGGCTC,MED12,53.7,1169.0,0.7478354979999999,0,PLX_2uM,0.5258941422487933 -2140,CAGCCGGCAGTCAGGGGGCGGCCTCGGGGC,CD15,39.06,207.0,0.021978022000000003,0,nodrug,0.16231965679073063 -2141,CTACCGGCCAGGGCCTGCAGGAAGTGGGGG,MED12,9.69,211.0,0.271645022,0,AZD_200nM,0.4048642410135315 -2142,CTACCGGCCAGGGCCTGCAGGAAGTGGGGG,MED12,9.69,211.0,0.33982684,0,PLX_2uM,0.4048642410135315 -2143,CAGTCGGCCATGACCCTGCCCCTGTGGATC,CCDC101,45.05,132.0,0.40268456399999997,0,AZD_200nM,0.5919108086176019 -2144,GGCCCGGCCCAGTGCCATTGCGGCGGGCCA,CD13,32.06,310.0,0.09010989,0,nodrug,0.41854352695063807 -2145,CTCCCGGCCCGGTACTCACCCGCGCGGGTC,H2-K,5.69,21.0,0.952662722,1,nodrug,0.7102490886217098 -2146,GCATCGGCCTTGGCGGTTGTGTAGAGGCCA,CCDC101,21.5,63.0,0.382550336,0,AZD_200nM,0.5913651733810606 -2147,ACCCCGGCGACCCGCCCTCAGGCCTGGCCC,CD15,65.09,345.0,0.153846154,0,nodrug,0.3048701881971587 -2148,ACGGCGGCGGCGGGCGGGCGGCGCGGGTGG,CD15,26.6,141.0,0.205128205,0,nodrug,0.20714441220722019 -2149,TGGACGGCGGGCGCTTCACGCTCTGGGGGC,TADA2B,14.52,61.0,0.026315789,0,AZD_200nM,0.32718987983604525 -2150,GCGGCGGCGGGCGGGCGGCGCGGGTGGCGC,CD15,26.79,142.0,0.098901099,0,nodrug,0.2831034541339912 -2151,TGAGCGGCGTGCCCTGGTTTGCAATGGTTA,NF1,63.54,1804.0,0.9021739129999999,1,PLX_2uM,0.6094599016777502 -2152,GGGCCGGCGTGTTGATCTCCGAGGCGGGTG,CD13,47.57,460.0,0.82967033,1,nodrug,0.6307840388035184 -2153,TGCTCGGCTACTACAACCAGAGCAAGGGCG,H2-K,29.54,109.0,0.75739645,0,nodrug,0.6112203716080411 -2154,GCGCCGGCTCAGGGTGTGTCTCCTGGGGGA,CCDC101,68.94,202.0,0.167785235,0,AZD_200nM,0.3380971108092886 -2155,TGGCCGGCTCATCGAAGCATGGGAAGGACT,CD13,22.96,222.0,0.8120879120000001,1,nodrug,0.6263489377747166 -2156,TAGCCGGCTCCAAACGGGGAAAGGAGGACG,TADA2B,78.81,331.0,0.48947368399999996,0,AZD_200nM,0.5796164154890892 -2157,CTGCCGGCTGCGCTTCAACATCAGCGGCTG,CD15,40.94,217.0,0.67032967,0,nodrug,0.6465574993025196 -2158,TGAGCGGCTGCTGACTGGCCTCAAAGGTAG,NF1,59.88,1700.0,0.141304348,0,PLX_2uM,0.5642536298351942 -2159,TTACCGGGACAGGTCATTCTCTCCTGGCTC,NF1,77.07,2188.0,0.38043478299999994,0,PLX_2uM,0.40103500067035797 -2160,GGAGCGGGAGACACAGAAAGCCAAGGGCAA,H2-K,23.85,88.0,0.538461538,0,nodrug,0.6093227882227352 -2161,GACGCGGGAGCGGTACGTGTGCTCGGGTAT,THY1,45.06,73.0,0.45161290299999995,0,nodrug,0.5203433620598416 -2162,CACCCGGGCAGCCACCTTGTCTCCAGGTCT,CCDC101,54.61,160.0,0.060402685,0,AZD_200nM,0.4679782141166382 -2163,GAGTCGGGCTGTGACAGTTCCCAGCGGGTC,NF1,64.49,1831.0,0.8125,1,PLX_2uM,0.7396937860516107 -2164,GTGTCGGGGATGCAGGCCTTCCCCAGGTTC,TADA2B,28.57,120.0,0.10526315800000001,0,AZD_200nM,0.5095519771143787 -2165,CACTCGGGGCACAGCTCGATGTCCTGGCAC,TADA2B,6.67,28.0,0.573684211,0,AZD_200nM,0.46274929343185406 -2166,CGAGCGGGGGAAGATGGCGGAGCTGGGGAA,TADA2B,0.71,3.0,0.668421053,0,AZD_200nM,0.4379170902203536 -2167,TGGTCGGGGGCAGCAGTGTGTGTGAGGGCA,CD5,57.69,285.0,0.786610879,0,nodrug,0.540298489044039 -2168,AGATCGGGGGTGTTCCCTGCTCACAGGCCC,CD33,46.7,170.0,0.021645022000000003,0,nodrug,0.5333631137550334 -2169,GCTGCGGGGTCACGTTACTGCCAAAGGCAT,TADA1,62.39,209.0,0.100917431,0,AZD_200nM,0.5671658913328677 -2170,TCGCCGGGGTGGCTTCTGGGGTAGAGGTAG,CD15,63.02,334.0,0.78021978,0,nodrug,0.5000513907778069 -2171,CGGACGGGGTGGTGGAGGCCACGGGGGAGC,CD13,4.76,46.0,0.43296703299999995,0,nodrug,0.559349607742059 -2172,GTGGCGGGTAGGATCTACAAGAGTAGGATT,MED12,91.13,1984.0,0.163419913,0,AZD_200nM,0.3620344605736171 -2173,GTGGCGGGTAGGATCTACAAGAGTAGGATT,MED12,91.13,1984.0,0.154761905,0,PLX_2uM,0.3620344605736171 -2174,AGGGCGGGTCGCCGGGGTGGCTTCTGGGGT,CD15,63.58,337.0,0.3003663,0,nodrug,0.07073432984898773 -2175,TGGTCGGGTGGGCAGCTTCTGCATTGGTAA,MED12,85.71,1866.0,0.38311688299999996,0,AZD_200nM,0.47792228506231305 -2176,TGGTCGGGTGGGCAGCTTCTGCATTGGTAA,MED12,85.71,1866.0,0.329004329,0,PLX_2uM,0.47792228506231305 -2177,GAATCGGGTTTCAGCGTGTTGGGGAGGCGG,CD13,7.96,77.0,0.7164835159999999,0,nodrug,0.5400102085987282 -2178,GGCGCGGTAGAAGCAGGTAGTCTGGGGATA,CCDC101,82.25,241.0,0.979865772,1,AZD_200nM,0.6025626014133797 -2179,TCCACGGTCACATGTTGGCTCAGTTGGTGG,CD15,71.13,377.0,0.633699634,0,nodrug,0.46349854132155366 -2180,GGTACGGTCTCAGCGTCACCCGGTAGGAAT,CD13,8.89,86.0,0.636263736,0,nodrug,0.6665907712163046 -2181,GGCACGGTCTGGGCCCAGCACCACCGGCAC,CD15,82.83,439.0,0.787545788,0,nodrug,0.43406720686773004 -2182,CACTCGGTGCAGCGGAAGCGCAGCGGGCTC,TADA2B,4.52,19.0,0.684210526,0,AZD_200nM,0.46397456776757007 -2183,TCCTCGGTGCTCATAATCACCCCACGGCCC,CD33,55.22,201.0,0.837662338,1,nodrug,0.6727669805646748 -2184,GCAACGGTGCTGGAATTGGGTTCATGGGCT,NF2,81.51,485.0,0.31838565,0,PLX_2uM,0.3128435408041203 -2185,TAGACGGTGGACCGCAGGTTGGGGTGGATC,CD13,81.7,790.0,0.671428571,0,nodrug,0.4766524317917637 -2186,CGACCGGTGGGCGTGCTGCTGTGGTGGGAG,CD15,36.6,194.0,0.7582417579999999,0,nodrug,0.43204265769233074 -2187,GGGCCGGTTACCTGCTCGTCGAAGCGGCTG,NF1,0.6,17.0,0.49456521700000006,0,PLX_2uM,0.6695646752563712 -2188,CTCACGTAATGCTCCATCACCTCTTGGGGA,TADA2B,25.0,105.0,0.078947368,0,AZD_200nM,0.4468344231434504 -2189,AAAACGTACAGGCCCCTGTCATTGGGGGTG,CD13,9.93,96.0,0.527472527,0,nodrug,0.6053965688272711 -2190,AGACCGTACCTCACCCCCAATGACAGGGGC,CD13,10.03,97.0,0.48021978,0,nodrug,0.5322094320172559 -2191,GTGGCGTACTGCACGTGTCGTGGCTGGTCG,MED12,33.49,729.0,0.744588745,0,AZD_200nM,0.5512214258063257 -2192,GTGGCGTACTGCACGTGTCGTGGCTGGTCG,MED12,33.49,729.0,0.6385281389999999,0,PLX_2uM,0.5512214258063257 -2193,TAGGCGTACTGCTGGTACCCGCGGAGGAGT,H2-K,35.77,132.0,0.946745562,1,nodrug,0.7242735770269997 -2194,TCCACGTAGCCGACTTCCATGTACCGGGGC,H2-K,11.65,43.0,0.8165680470000001,1,nodrug,0.5277908457869586 -2195,ACCACGTATCTCTGAGCCACATTGAGGGGA,CCDC101,94.88,278.0,0.10738255,0,AZD_200nM,0.4155836325129127 -2196,AGGACGTATTCAAGCAGGGCCTGGCGGTGA,CD13,51.71,500.0,0.8472527470000001,1,nodrug,0.6960827935097917 -2197,ATGGCGTCAAACAGCTCACTGATCTGGGCC,CD13,48.4,468.0,0.127472527,0,nodrug,0.3339576438813332 -2198,GGATCGTCACCATGGACGCCGAGATGGAGT,NF2,5.38,32.0,0.68161435,0,PLX_2uM,0.5601481218005366 -2199,AGAACGTCAGCTTCAATCCTGCCAAGGTGA,MED12,3.08,67.0,0.409090909,0,AZD_200nM,0.61440190199316 -2200,AGAACGTCAGCTTCAATCCTGCCAAGGTGA,MED12,3.08,67.0,0.37987013,0,PLX_2uM,0.61440190199316 -2201,GCAGCGTCAGTGGATTGGCCCCACAGGAGT,CD5,84.82,419.0,0.29707113,0,nodrug,0.4647999566093859 -2202,GTAGCGTCCAAATATGTTGGTACTGGGCTG,MED12,99.72,2171.0,0.217532468,0,AZD_200nM,0.204584441669669 -2203,GTAGCGTCCAAATATGTTGGTACTGGGCTG,MED12,99.72,2171.0,0.181818182,0,PLX_2uM,0.204584441669669 -2204,CCGCCGTCCACCAGCTGGTAGCCGTGGTAG,TADA2B,11.9,50.0,0.468421053,0,AZD_200nM,0.6342294402140719 -2205,GGCTCGTCCCAGAAGGAGGTGATGTGGACA,CD15,93.58,496.0,0.6776556779999999,0,nodrug,0.48434934393174045 -2206,GCACCGTCCGTTTCACCTGCAAGGAGGCCA,CD13,11.79,114.0,0.874725275,1,nodrug,0.7507233726869768 -2207,ACCGCGTGATGGCAGTGGATGCACTGGCCT,CD13,46.33,448.0,0.906593407,1,nodrug,0.5927012341422915 -2208,CCTCCGTGCAACATAATAAAAAATAGGATT,NF1,56.57,1606.0,0.125,0,PLX_2uM,0.2840958932652391 -2209,CCAACGTGCAAGTGGCTGGACCAGTGGACA,NF1,78.48,2228.0,0.760869565,0,PLX_2uM,0.49735142657033005 -2210,TATTCGTGCATTTCTGTAGGTATATGGTGC,NF1,45.47,1291.0,0.19972826100000002,0,PLX_2uM,0.381060903560604 -2211,AGTTCGTGCGCTTCGACAGCGACGCGGAGA,H2-K,16.26,60.0,0.325443787,0,nodrug,0.725056617765649 -2212,TGAGCGTGCTCATCAATGGGACATTGGCTG,MED12,73.17,1593.0,0.769480519,0,AZD_200nM,0.5749955242746444 -2213,TGAGCGTGCTCATCAATGGGACATTGGCTG,MED12,73.17,1593.0,0.806277056,1,PLX_2uM,0.5749955242746444 -2214,ACTACGTGGCCAGACCTGGAGACAAGGTGG,CCDC101,54.61,160.0,0.590604027,0,AZD_200nM,0.623492438769264 -2215,CCGCCGTGTCCCGGCCCGGCCTCGGGGAGC,H2-K,10.3,38.0,0.520710059,0,nodrug,0.5384631648164239 -2216,TGGTCGTGTCTTCACAGTACTCTGGGGAAT,MED12,13.05,284.0,0.876623377,1,AZD_200nM,0.7498437872472555 -2217,TGGTCGTGTCTTCACAGTACTCTGGGGAAT,MED12,13.05,284.0,0.897186147,1,PLX_2uM,0.7498437872472555 -2218,GGTACGTGTGCTCGGGTATCCCAAGGGTGC,THY1,42.59,69.0,0.967741935,1,nodrug,0.6724718256118342 -2219,TGGACGTGTTCGGCCGGGGCGGGCCGGGGC,CD15,73.58,390.0,0.421245421,0,nodrug,0.28728188191329285 -2220,CTTACGTTCACTGACTGGACCCATGGGTGG,NF1,30.57,868.0,0.6603260870000001,0,PLX_2uM,0.5850383720624629 -2221,GTCACGTTCAGGGCATAATCGCCGTGGCCC,CD13,32.47,314.0,0.795604396,0,nodrug,0.6808397667637797 -2222,ACCTCGTTGCTATCTACCACAAGCAGGGGC,CD28,13.76,30.0,0.364864865,0,nodrug,0.5664088413335802 -2223,CTCTCGTTGTCTAGGTAAGGCGGAGGGTAC,CD28,55.5,121.0,0.9594594590000001,1,nodrug,0.6856499740187203 -2224,CCAGCGTTTCCCTCAGAACAGCATCGGTGC,NF1,49.35,1401.0,0.650815217,0,PLX_2uM,0.5966728698981938 -2225,ACTGCTAACTGCGCAACCTTCTTTAGGGCT,NF1,7.22,205.0,0.058423913,0,PLX_2uM,0.24112191823235085 -2226,GATACTAAGCTGGCTCTGCAGTGCAGGAGG,NF1,97.43,2766.0,0.21195652199999998,0,PLX_2uM,0.10031659041986826 -2227,TCTGCTACACATGTGTAATTTGTTTGGGCA,CD45,16.37,185.0,0.198555957,0,nodrug,0.379224721490154 -2228,GCCGCTACCACGGCTACCAGCTGGTGGACG,TADA2B,12.62,53.0,0.45789473700000005,0,AZD_200nM,0.593437695190939 -2229,GATCCTACCCGCCACCTGCAACAGCGGCCC,MED12,91.55,1993.0,0.212121212,0,AZD_200nM,0.33857151673694674 -2230,GATCCTACCCGCCACCTGCAACAGCGGCCC,MED12,91.55,1993.0,0.20021645,0,PLX_2uM,0.33857151673694674 -2231,GCTTCTACCGCAGCGAGTACATGGAGGGCA,CD13,20.58,199.0,0.73956044,0,nodrug,0.7601914985586709 -2232,GGGCCTACCTGGAGGGCACGTGCGTGGAGT,H2-K,50.14,185.0,0.798816568,0,nodrug,0.645327584547372 -2233,TGGACTACGAGGAGGCAGCGGCGGCGGCAG,CD15,51.89,275.0,0.311355311,0,nodrug,0.5047042892439713 -2234,GGCGCTACGGGCTGGGCAAGATGGCGGCCT,MED12,0.05,1.0,0.681818182,0,AZD_200nM,0.6194750409054273 -2235,GGCGCTACGGGCTGGGCAAGATGGCGGCCT,MED12,0.05,1.0,0.543290043,0,PLX_2uM,0.6194750409054273 -2236,CTTCCTACGGTTTGCAGACTTCCCAGGTAA,MED12,89.16,1941.0,0.265151515,0,AZD_200nM,0.3795352456829699 -2237,CTTCCTACGGTTTGCAGACTTCCCAGGTAA,MED12,89.16,1941.0,0.22727272699999998,0,PLX_2uM,0.3795352456829699 -2238,GTGGCTACTAAGAAAGTAACAACGTGGAAG,NF1,74.18,2106.0,0.835597826,1,PLX_2uM,0.674375121235999 -2239,CCGTCTACTGCAACGCTATCGCCCAGGGCG,CD13,82.94,802.0,0.8967032970000001,1,nodrug,0.48665607673551153 -2240,CCATCTACTGCAACGTGGAGCCATCGGAAT,MED12,46.39,1010.0,0.595238095,0,AZD_200nM,0.630730056081715 -2241,CCATCTACTGCAACGTGGAGCCATCGGAAT,MED12,46.39,1010.0,0.598484848,0,PLX_2uM,0.630730056081715 -2242,GAAACTACTGCTTCCATGCTTGCCTGGTCC,NF1,37.72,1071.0,0.491847826,0,PLX_2uM,0.4975912446581201 -2243,ACCACTACTTTGGGTACCTTTGAGTGGAGG,MED12,92.51,2014.0,0.601731602,0,AZD_200nM,0.3917322310951579 -2244,ACCACTACTTTGGGTACCTTTGAGTGGAGG,MED12,92.51,2014.0,0.635281385,0,PLX_2uM,0.3917322310951579 -2245,TTAACTAGAATGACCAGTCAACAGGGGACA,HPRT1,50.92,111.0,0.984375,1,6TG_2ug/mL,0.7726412203304605 -2246,TTACCTAGACAACGAGAGGAGCAATGGAAC,CD28,59.17,129.0,0.972972973,1,nodrug,0.6064793131158875 -2247,GTCACTAGCAAGCCATAACAAAACAGGACT,CD28,74.31,162.0,0.486486486,0,nodrug,0.4164357968165717 -2248,TGGGCTAGTACATATGTTGAAAAATGGAAA,CUL3,37.63,289.0,0.14285714300000002,0,PLX_2uM,0.29264956657916147 -2249,GCTGCTAGTTGGGGGCTGAGGAGCAGGGGT,MED12,15.34,334.0,0.30735930699999997,0,AZD_200nM,0.33835258688963543 -2250,GCTGCTAGTTGGGGGCTGAGGAGCAGGGGT,MED12,15.34,334.0,0.314935065,0,PLX_2uM,0.33835258688963543 -2251,ACTTCTAGTTTGGTCTGGGCTTGTCGGCAA,NF1,24.02,682.0,0.309782609,0,PLX_2uM,0.4487653446082181 -2252,GGTTCTATAACACACCTTAACTACAGGCAA,MED12,84.24,1834.0,0.37337662299999996,0,AZD_200nM,0.49469385938437954 -2253,GGTTCTATAACACACCTTAACTACAGGCAA,MED12,84.24,1834.0,0.35281385299999996,0,PLX_2uM,0.49469385938437954 -2254,AGCTCTATAGAAATGCATATACAATGGTTT,CUL3,8.2,63.0,0.649350649,0,PLX_2uM,0.6588709192824648 -2255,GTCACTATCATTCTCCCTTCAAGCTGGCCT,TADA1,45.07,151.0,0.596330275,0,AZD_200nM,0.6046162791412834 -2256,CTCACTATCTTTGCCTGGAGCTGTTGGCGA,MED12,87.92,1914.0,0.321428571,0,AZD_200nM,0.363520110254866 -2257,CTCACTATCTTTGCCTGGAGCTGTTGGCGA,MED12,87.92,1914.0,0.293290043,0,PLX_2uM,0.363520110254866 -2258,AGAGCTATGTCGGGAGCAGCAGTGTGGCGA,CD5,64.78,320.0,0.7949790790000001,0,nodrug,0.7701865270553825 -2259,ATGGCTATTCCCCTCCCCTCAATGTGGCTC,CCDC101,94.88,278.0,0.939597315,1,AZD_200nM,0.5750335665607991 -2260,TACACTATTCTTCAGGTATGGCTGCGGGGT,TADA1,64.48,216.0,0.614678899,0,AZD_200nM,0.5229529253697204 -2261,TCTTCTCAAAACACTCAAGCACCCAGGTCA,MED12,11.85,258.0,0.7716450220000001,0,AZD_200nM,0.6833559846523427 -2262,TCTTCTCAAAACACTCAAGCACCCAGGTCA,MED12,11.85,258.0,0.818181818,1,PLX_2uM,0.6833559846523427 -2263,TCAGCTCAAAAGTTCGGAGAGTGTAGGCTG,CD45,81.95,926.0,0.711191336,0,nodrug,0.6000854900499847 -2264,CTGGCTCAAAATGGACAAGAAGGTTGGGCT,NF2,13.45,80.0,0.273542601,0,PLX_2uM,0.47484663879507305 -2265,GCTTCTCAAATCCTCGGATCTGGTGGGCAG,MED12,41.98,914.0,0.8160173159999999,1,AZD_200nM,0.6262012762446086 -2266,GCTTCTCAAATCCTCGGATCTGGTGGGCAG,MED12,41.98,914.0,0.704545455,0,PLX_2uM,0.6262012762446086 -2267,GAAGCTCAACTACACCCTCAGCCAGGGGCA,CD13,13.65,132.0,0.5813186810000001,0,nodrug,0.5988553467529629 -2268,TGTTCTCAAGGCTGTGTTTGTACTTGGTAC,MED12,56.45,1229.0,0.043290043,0,AZD_200nM,0.2742747260723642 -2269,TGTTCTCAAGGCTGTGTTTGTACTTGGTAC,MED12,56.45,1229.0,0.075757576,0,PLX_2uM,0.2742747260723642 -2270,GCAGCTCAATCCTTGCCAGTCTGATGGAAG,MED12,54.66,1190.0,0.465367965,0,AZD_200nM,0.48919487597206673 -2271,GCAGCTCAATCCTTGCCAGTCTGATGGAAG,MED12,54.66,1190.0,0.463203463,0,PLX_2uM,0.48919487597206673 -2272,CTTACTCAATGCCAACGTAGACAGTGGTCT,NF1,40.79,1158.0,0.547554348,0,PLX_2uM,0.7088541222482581 -2273,GCCACTCACACAGGACTATGGAATGGGCCC,MED12,82.82,1803.0,0.7023809520000001,0,AZD_200nM,0.5177028359528535 -2274,GCCACTCACACAGGACTATGGAATGGGCCC,MED12,82.82,1803.0,0.655844156,0,PLX_2uM,0.5177028359528535 -2275,GCAGCTCACACCTTCACCTACACGGGGCTA,MED12,47.63,1037.0,0.731601732,0,AZD_200nM,0.7445074854685627 -2276,GCAGCTCACACCTTCACCTACACGGGGCTA,MED12,47.63,1037.0,0.833333333,1,PLX_2uM,0.7445074854685627 -2277,GTGGCTCACACGTGATGACATCTCGGGTCT,MED12,75.65,1647.0,0.531385281,0,AZD_200nM,0.5367666419576475 -2278,GTGGCTCACACGTGATGACATCTCGGGTCT,MED12,75.65,1647.0,0.516233766,0,PLX_2uM,0.5367666419576475 -2279,ACAGCTCACACTCCAGCATCATATGGGTTC,CUL3,72.01,553.0,0.24025974,0,PLX_2uM,0.5116480120974706 -2280,TCTCCTCACACTCTGGAACTCCGTTGGAGC,CD13,79.01,764.0,0.935164835,1,nodrug,0.514194372320345 -2281,CTTCCTCACAGAGGTGGCGGAAACAGGACA,NF1,25.01,710.0,0.111413043,0,PLX_2uM,0.3755334335685855 -2282,CCTGCTCACCGACCGCGCGTCCTACGGAGA,CD15,43.02,228.0,0.6813186809999999,0,nodrug,0.5252244506841859 -2283,AGAACTCACCTAAATTTCATCTCTTGGCAA,NF1,36.42,1034.0,0.09918478300000001,0,PLX_2uM,0.37816531894466504 -2284,GGCGCTCACCTCTGTCTTGGTAGCTGGCTG,MED12,82.54,1797.0,0.006493506,0,AZD_200nM,0.34311372809458696 -2285,GGCGCTCACCTCTGTCTTGGTAGCTGGCTG,MED12,82.54,1797.0,0.008658009,0,PLX_2uM,0.34311372809458696 -2286,CCCACTCACCTTTGGGAAGCATGTTGGACA,CD13,25.75,249.0,0.693406593,0,nodrug,0.5902588774350701 -2287,TCTGCTCACTTGAATTCTGAGGGGCGGGTA,CD13,59.67,577.0,0.457142857,0,nodrug,0.5759421226740994 -2288,TGGTCTCAGAGATTGCTGCATAGTAGGCAC,MED12,7.67,167.0,0.45021645,0,AZD_200nM,0.4415719276013196 -2289,TGGTCTCAGAGATTGCTGCATAGTAGGCAC,MED12,7.67,167.0,0.5216450220000001,0,PLX_2uM,0.4415719276013196 -2290,TGCACTCAGCCTCTGCATCGGCCTTGGCGG,CCDC101,23.21,68.0,0.140939597,0,AZD_200nM,0.3944214728690874 -2291,CCTGCTCAGCCTCTGCGGCCTTCTGGGCCA,NF2,67.39,401.0,0.00896861,0,PLX_2uM,0.24745968608381672 -2292,TGGCCTCAGCTGTATCCTACAGGTAGGTAC,MED12,16.86,367.0,0.9870129870000001,1,AZD_200nM,0.7725982001468664 -2293,TGGCCTCAGCTGTATCCTACAGGTAGGTAC,MED12,16.86,367.0,0.9837662340000001,1,PLX_2uM,0.7725982001468664 -2294,CTCTCTCAGGAGCCCAGCAATTTGTGGCAA,TADA1,37.31,125.0,0.302752294,0,AZD_200nM,0.42951170963961893 -2295,GCACCTCAGGGTGACTTTATCTTCAGGTCT,H2-K,59.08,218.0,0.23076923100000002,0,nodrug,0.3170158686451952 -2296,CCAGCTCAGTCTTGTCAATGTCGGGGGGCT,CD13,15.41,149.0,0.213186813,0,nodrug,0.5640882105878444 -2297,GTGACTCATATCCAATTCACCAGCTGGCCA,CD45,56.99,644.0,0.5162454870000001,0,nodrug,0.5864454740914937 -2298,CGCCCTCATCCTTGGTGGTGAAGTTGGCTA,THY1,58.64,95.0,0.322580645,0,nodrug,0.4619958915229994 -2299,ATTCCTCATGGACTAATTATGGACAGGTAA,HPRT1,20.18,44.0,0.78125,0,6TG_2ug/mL,0.5776415218816797 -2300,CAGGCTCATGGATTTCCTGGCTCGGGGACT,NF1,88.69,2518.0,0.550271739,0,PLX_2uM,0.47881580063998147 -2301,CTTTCTCATGGTTACACACCATTAAGGACA,NF1,31.77,902.0,0.182065217,0,PLX_2uM,0.22755278891468741 -2302,GGGGCTCCAAAGGCAAGGTCCCCTCGGGAG,MED12,28.57,622.0,0.760822511,0,AZD_200nM,0.4832225288762962 -2303,GGGGCTCCAAAGGCAAGGTCCCCTCGGGAG,MED12,28.57,622.0,0.775974026,0,PLX_2uM,0.4832225288762962 -2304,CCCTCTCCAACCAGCCCTATATCAAGGTCC,THY1,53.7,87.0,0.274193548,0,nodrug,0.5539391418375192 -2305,GCAGCTCCAAGGAAGACTGGCGCATGGTCC,MED12,62.33,1357.0,0.892857143,1,AZD_200nM,0.6592258310543144 -2306,GCAGCTCCAAGGAAGACTGGCGCATGGTCC,MED12,62.33,1357.0,0.869047619,1,PLX_2uM,0.6592258310543144 -2307,AACTCTCCACAGAACTGGTTGCTGTGGTAG,CD43,52.66,208.0,0.5144927539999999,0,nodrug,0.6333775622221546 -2308,GGATCTCCACTTGACCCTGACACTTGGAAT,CD5,8.7,43.0,0.50209205,0,nodrug,0.5223683017331783 -2309,CAGCCTCCAGAGGGGAGGGGTCACTGGGTG,CD45,67.79,766.0,0.10469314099999999,0,nodrug,0.24791856736485698 -2310,GTGCCTCCAGCAGAGAAGCAATTCTGGCCT,NF1,30.19,857.0,0.07201087,0,PLX_2uM,0.23834225587989916 -2311,CCTCCTCCAGCAGCAACAAGGAGCGGGTGG,CD13,39.3,380.0,0.39010989,0,nodrug,0.48280005472412413 -2312,ACGGCTCCATCCACGATGCGGTTCTGGGAG,MED12,55.72,1213.0,0.161255411,0,AZD_200nM,0.1431996003038699 -2313,ACGGCTCCATCCACGATGCGGTTCTGGGAG,MED12,55.72,1213.0,0.12987013,0,PLX_2uM,0.1431996003038699 -2314,CAAACTCCATGAATGTGTTATAGTTGGGCA,NF1,25.89,735.0,0.680706522,0,PLX_2uM,0.43007189154043973 -2315,AGAGCTCCCACTCACTGGTCCATCAGGTTT,CD13,77.35,748.0,0.105494505,0,nodrug,0.3810305747963609 -2316,CGCACTCCCCGGGGCTGCGAAGCCTGGCAA,CD15,58.11,308.0,0.062271062,0,nodrug,0.3936581145156028 -2317,TGTTCTCCCCTACTATGCCCTGTGAGGGGA,MED12,31.83,693.0,0.7792207790000001,0,AZD_200nM,0.5609793567499451 -2318,TGTTCTCCCCTACTATGCCCTGTGAGGGGA,MED12,31.83,693.0,0.725108225,0,PLX_2uM,0.5609793567499451 -2319,CTGTCTCCCTCTCTTTCAGTTTCAAGGCCT,NF2,92.44,550.0,0.06726457400000001,0,PLX_2uM,0.18361800221950214 -2320,TGGTCTCCCTCTGCAGCCTGAAGAAGGAGA,NF1,38.32,1088.0,0.53125,0,PLX_2uM,0.4873872754923059 -2321,GGGGCTCCGAGAAACCTGGTTCTTTGGACT,NF2,10.25,61.0,0.080717489,0,PLX_2uM,0.27540996065461226 -2322,GTGGCTCCGCAGATACCTGAAGAACGGGAA,H2-K,52.57,194.0,0.603550296,0,nodrug,0.6229145795999682 -2323,TGGGCTCCGGCACGGTGGTGGGTGGGGTGG,CD5,29.76,147.0,0.167364017,0,nodrug,0.3465038196798321 -2324,CCGTCTCCGGGTTGGCCTTCCACTGGGGCA,CCDC101,73.72,216.0,0.503355705,0,AZD_200nM,0.40205058524519316 -2325,AGATCTCCTCAGATGATGATGCTGTGGTGT,MED12,23.06,502.0,0.623376623,0,AZD_200nM,0.6113904684689959 -2326,AGATCTCCTCAGATGATGATGCTGTGGTGT,MED12,23.06,502.0,0.5670995670000001,0,PLX_2uM,0.6113904684689959 -2327,TCAGCTCCTCCCCATTCAACTGCCAGGTCA,H2-K,64.77,239.0,0.22485207100000001,0,nodrug,0.5146328066084094 -2328,TCTCCTCCTCCGTGCGAATCGCTGTGGCCT,NF2,69.92,416.0,0.408071749,0,PLX_2uM,0.5840963437685716 -2329,ATTGCTCCTCTCGTTGTCTAGGTAAGGCGG,CD28,56.88,124.0,0.783783784,0,nodrug,0.4929081796076106 -2330,GGACCTCCTGCACCACCCAAACCCTGGTTC,MED12,83.83,1825.0,0.6190476189999999,0,AZD_200nM,0.5554379818669011 -2331,GGACCTCCTGCACCACCCAAACCCTGGTTC,MED12,83.83,1825.0,0.6190476189999999,0,PLX_2uM,0.5554379818669011 -2332,GCTCCTCCTGGAGATCATCATCAGCGGCAC,MED12,71.93,1566.0,0.8906926409999999,1,AZD_200nM,0.6383517799420336 -2333,GCTCCTCCTGGAGATCATCATCAGCGGCAC,MED12,71.93,1566.0,0.8214285709999999,1,PLX_2uM,0.6383517799420336 -2334,GCTTCTCCTGGGCACAGAGGAACCCGGGGG,CD5,68.62,339.0,0.539748954,0,nodrug,0.41776586836483864 -2335,CCATCTCCTTCTTCAGGCTGCAGAGGGAGA,NF1,38.22,1085.0,0.565217391,0,PLX_2uM,0.5567575675255132 -2336,TGGCCTCCTTGCAGGTGAAACGGACGGTGC,CD13,11.38,110.0,0.49890109899999996,0,nodrug,0.6124398774379569 -2337,CAGCCTCCTTGTGCTCTGGGTCATCGGCAG,MED12,29.54,643.0,0.364718615,0,AZD_200nM,0.42995155080433684 -2338,CAGCCTCCTTGTGCTCTGGGTCATCGGCAG,MED12,29.54,643.0,0.553030303,0,PLX_2uM,0.42995155080433684 -2339,CCCGCTCCTTGTTGCTGCTGGAGGAGGACA,CD13,38.78,375.0,0.097802198,0,nodrug,0.4536777134649387 -2340,CGTCCTCCTTTCCCCGTTTGGAGCCGGCTA,TADA2B,77.86,327.0,0.147368421,0,AZD_200nM,0.33423013212257296 -2341,CCTTCTCGACATCTGGCTTCTCAGGGGATG,MED12,32.25,702.0,0.773809524,0,AZD_200nM,0.6341406167000964 -2342,CCTTCTCGACATCTGGCTTCTCAGGGGATG,MED12,32.25,702.0,0.734848485,0,PLX_2uM,0.6341406167000964 -2343,GTGGCTCGAGGAGAGGAGCAGCAGCGGTTG,MED12,79.05,1721.0,0.22727272699999998,0,AZD_200nM,0.45360812957710944 -2344,GTGGCTCGAGGAGAGGAGCAGCAGCGGTTG,MED12,79.05,1721.0,0.20995671,0,PLX_2uM,0.45360812957710944 -2345,TTACCTCGCAATTGAACTCCATCTCGGCGT,NF2,5.55,33.0,0.7085201790000001,0,PLX_2uM,0.5808032813570432 -2346,CTGCCTCGGACAGTCTGGAAGGGGTGGCCT,CD5,5.47,27.0,0.610878661,0,nodrug,0.5986032526293289 -2347,ATGTCTCGGAGGCTGGCATCACTGAGGCAC,NF1,40.19,1141.0,0.582880435,0,PLX_2uM,0.7428132891044207 -2348,TGAACTCGGCATTCGAGCGAAACTGGGGCT,CD28,36.24,79.0,0.027027027000000002,0,nodrug,0.4311711494462352 -2349,CCTGCTCGTCGAAGCGGCTGACCACGGCCT,NF1,0.49,14.0,0.930706522,1,PLX_2uM,0.5714652623164483 -2350,AGGGCTCTAACAAGCTCTCTTTCAGGGATA,CUL3,81.25,624.0,0.837662338,1,PLX_2uM,0.42661429161126024 -2351,TCAACTCTAACTTTAACTTTGCATTGGTTG,NF1,84.15,2389.0,0.48369565200000003,0,PLX_2uM,0.4384883443076851 -2352,CTACCTCTACCCCAGAAGCCACCCCGGCGA,CD15,63.77,338.0,0.794871795,0,nodrug,0.6218207235312295 -2353,TACTCTCTACCTGAAACATGAACATGGCCA,MED12,11.12,242.0,0.935064935,1,AZD_200nM,0.6218267885590268 -2354,TACTCTCTACCTGAAACATGAACATGGCCA,MED12,11.12,242.0,0.912337662,1,PLX_2uM,0.6218267885590268 -2355,AAGTCTCTACGCAAAGCACGGCCTGGGGTG,CD45,91.5,1034.0,0.097472924,0,nodrug,0.3809939315278009 -2356,AGCTCTCTAGAGCGCTCTGGTGTATGGCTG,MED12,65.46,1425.0,0.14610389599999998,0,AZD_200nM,0.37192908383050877 -2357,AGCTCTCTAGAGCGCTCTGGTGTATGGCTG,MED12,65.46,1425.0,0.143939394,0,PLX_2uM,0.37192908383050877 -2358,CTCACTCTCACTTCGAGGGTCCGCTGGAGG,MED12,26.78,583.0,0.10822510800000001,0,AZD_200nM,0.4378012108814297 -2359,CTCACTCTCACTTCGAGGGTCCGCTGGAGG,MED12,26.78,583.0,0.203463203,0,PLX_2uM,0.4378012108814297 -2360,GAGCCTCTCCGTAGGACGCGCGGTCGGTGA,CD15,42.64,226.0,0.9120879120000001,1,nodrug,0.6538300820415626 -2361,GCTCCTCTCGTTGTCTAGGTAAGGCGGAGG,CD28,56.42,123.0,0.8918918920000001,1,nodrug,0.638913712674722 -2362,GGATCTCTCTTCTTCATGTTGTGTAGGCAT,CD45,66.9,756.0,0.649819495,0,nodrug,0.5429219378423962 -2363,GTATCTCTGAGCCACATTGAGGGGAGGGGA,CCDC101,94.54,277.0,0.7651006709999999,0,AZD_200nM,0.5128349114563211 -2364,TTTGCTCTGCAATTCTGCAGGTACTGGATC,NF2,13.61,81.0,0.143497758,0,PLX_2uM,0.34632209306139183 -2365,TCGCCTCTGCACAAAGCCCTCTTTTGGGTA,NF1,81.58,2316.0,0.880434783,1,PLX_2uM,0.34114597589068946 -2366,CACACTCTGCACAATTCCATGGATTGGATT,NF1,94.47,2682.0,0.626358696,0,PLX_2uM,0.2776515631440203 -2367,CTGGCTCTGCAGTGCAGGAGGGTAAGGAGA,NF1,97.32,2763.0,0.107336957,0,PLX_2uM,0.1444919909130159 -2368,CGTACTCTGCCGACTCTTCCATCTTGGTGA,TADA2B,71.9,302.0,0.16842105300000001,0,AZD_200nM,0.3694654132066335 -2369,CACACTCTGGAACTCCGTTGGAGCAGGCGG,CD13,78.8,762.0,0.774725275,0,nodrug,0.4099872820447745 -2370,AAGTCTCTGGCAGGGGCGTAGGGCTGGTAA,CD28,94.5,206.0,0.554054054,0,nodrug,0.33057019242131935 -2371,CGGACTCTGGGGCTCCGAGAAACCTGGTTC,NF2,9.92,59.0,0.7488789240000001,0,PLX_2uM,0.5046760263729526 -2372,CACGCTCTGGGGGCCCGAGGCCGAGGGCGG,TADA2B,15.71,66.0,0.494736842,0,AZD_200nM,0.44995533593889553 -2373,TGTTCTCTGTCTGCATCCGCTCATGGGTCT,CCDC101,14.68,43.0,0.10067114099999999,0,AZD_200nM,0.49176064813208403 -2374,ACATCTCTGTGGAGACAGCCAGTCTGGATG,MED12,58.52,1274.0,0.029220779,0,AZD_200nM,0.37339469581273965 -2375,ACATCTCTGTGGAGACAGCCAGTCTGGATG,MED12,58.52,1274.0,0.035714286,0,PLX_2uM,0.37339469581273965 -2376,AGAGCTCTTCAAAGAAGGCCACTCGGGACT,NF2,98.99,589.0,0.147982063,0,PLX_2uM,0.25421039589751965 -2377,ACACCTCTTCCTTCTTACTGAAAATGGGGA,MED12,6.25,136.0,0.07034632,0,AZD_200nM,0.14523855870739122 -2378,ACACCTCTTCCTTCTTACTGAAAATGGGGA,MED12,6.25,136.0,0.041125541,0,PLX_2uM,0.14523855870739122 -2379,GTAGCTCTTGTCTGGAGATCCTTGTGGTAA,NF1,41.25,1171.0,0.699728261,0,PLX_2uM,0.6988406871927175 -2380,CCGTCTCTTTAAACAAACTATTGCGGGTGA,CUL3,48.18,370.0,0.045454545,0,PLX_2uM,0.3508608652863268 -2381,GACACTGAAACTTTACGTAAATGTGGGTGC,NF1,91.3,2592.0,0.320652174,0,PLX_2uM,0.3608294794914961 -2382,CTCTCTGAAATAAATGGAGATGCAGGGTCC,CD45,46.81,529.0,0.8916967509999999,1,nodrug,0.6265891223106675 -2383,AGACCTGAAGATAAAGTCACCCTGAGGTGC,H2-K,60.16,222.0,0.98816568,1,nodrug,0.7748426680549105 -2384,AGTTCTGACAAAAATCCTTCAACAAGGCAC,NF1,41.85,1188.0,0.911684783,1,PLX_2uM,0.6956611624808321 -2385,GCAGCTGACAACCAGGAGAAGATCGGGGGT,CD33,48.35,176.0,0.5670995670000001,0,nodrug,0.46298508186792087 -2386,GTCCCTGACCCCACAGAAACTGATGGGCTG,CD43,12.15,48.0,0.869565217,1,nodrug,0.6305933729663353 -2387,ACAACTGACGTCAGTATATCTTTAAGGTGA,TADA1,54.93,184.0,0.055045872,0,AZD_200nM,0.22275784243268726 -2388,GGTGCTGACTATGCGGAGCCCACCTGGAAC,CD13,44.26,428.0,0.34725274700000003,0,nodrug,0.4771919038623748 -2389,CCCACTGAGAACAAGGAACCACATTGGCCA,NF1,43.33,1230.0,0.476902174,0,PLX_2uM,0.7242856449263922 -2390,ATCTCTGAGCCACATTGAGGGGAGGGGAAT,CCDC101,94.2,276.0,0.89261745,1,AZD_200nM,0.5540979632600036 -2391,GGGCCTGAGCCCCGCGCCATGGCCGGGGCC,NF2,0.34,2.0,0.161434978,0,PLX_2uM,0.24858601555465804 -2392,CTGCCTGAGCCCCTCACCCTGAGATGGGGT,H2-K,79.67,294.0,0.136094675,0,nodrug,0.3295035607009003 -2393,TCCGCTGAGCCTGATCTGCCTAGGTGGGTG,CD5,26.92,133.0,0.8619246859999999,1,nodrug,0.5966240743460881 -2394,AGGCCTGAGGGCGGGTCGCCGGGGTGGCTT,CD15,63.96,339.0,0.545787546,0,nodrug,0.44191793381392913 -2395,CAGTCTGATAAAATCTACAGTCATAGGAAT,HPRT1,44.04,96.0,0.09375,0,6TG_2ug/mL,0.4045443463410371 -2396,GGCGCTGATCACCTACGCTTGCTGGGGGCA,CD15,32.26,171.0,0.549450549,0,nodrug,0.5338846560540504 -2397,AAGTCTGCAAACCGTAGGAAGAGCTGGGAG,MED12,88.84,1934.0,0.22077922100000003,0,AZD_200nM,0.33009265776001684 -2398,AAGTCTGCAAACCGTAGGAAGAGCTGGGAG,MED12,88.84,1934.0,0.163419913,0,PLX_2uM,0.33009265776001684 -2399,CCTACTGCACCGATGCTGTTCTGAGGGAAA,NF1,49.28,1399.0,0.525815217,0,PLX_2uM,0.6154407910467306 -2400,CGGGCTGCACCTTGCTGTAGGAGATGGCGT,CD13,49.22,476.0,0.345054945,0,nodrug,0.5330015024102556 -2401,AGATCTGCAGAACCCATATGATGCTGGAGT,CUL3,71.88,552.0,0.772727273,0,PLX_2uM,0.5589448120080733 -2402,GCTCCTGCAGAGCTGAGGGACCCCAGGCCC,CD5,46.56,230.0,0.581589958,0,nodrug,0.4738124691896893 -2403,CGCTCTGCAGAGGAGCCATCGGACCGGTTC,MED12,44.19,962.0,0.757575758,0,AZD_200nM,0.5926932394934628 -2404,CGCTCTGCAGAGGAGCCATCGGACCGGTTC,MED12,44.19,962.0,0.745670996,0,PLX_2uM,0.5926932394934628 -2405,AGTTCTGCAGCCAGGGGCCGGGGACGGTGG,CD5,62.75,310.0,0.510460251,0,nodrug,0.4267490486081098 -2406,CCCTCTGCAGCCTGAAGAAGGAGATGGTGT,NF1,38.39,1090.0,0.364130435,0,PLX_2uM,0.6193375781445585 -2407,AGAACTGCAGCGGTACCGGCGAAACGGGAT,TADA2B,70.48,296.0,0.021052632,0,AZD_200nM,0.38110132836894006 -2408,TCACCTGCAGGTAGTGGCTGGTTCTGGGTG,MED12,84.75,1845.0,0.081168831,0,AZD_200nM,0.13488264299700972 -2409,TCACCTGCAGGTAGTGGCTGGTTCTGGGTG,MED12,84.75,1845.0,0.06818181799999999,0,PLX_2uM,0.13488264299700972 -2410,TCCTCTGCAGTTTCTCCCTATTACCGGACA,CCDC101,18.77,55.0,0.228187919,0,AZD_200nM,0.3953119357874658 -2411,TGAGCTGCATGAGGCGCTGCGCCTGGGCAC,MED12,60.5,1317.0,0.192640693,0,AZD_200nM,0.45959721184470836 -2412,TGAGCTGCATGAGGCGCTGCGCCTGGGCAC,MED12,60.5,1317.0,0.18398268399999998,0,PLX_2uM,0.45959721184470836 -2413,TCCTCTGCCACTCACACAGGACTATGGAAT,MED12,82.73,1801.0,0.134199134,0,AZD_200nM,0.23545389942633813 -2414,TCCTCTGCCACTCACACAGGACTATGGAAT,MED12,82.73,1801.0,0.14610389599999998,0,PLX_2uM,0.23545389942633813 -2415,ATGGCTGCCCACGTTGGTGCTTCCCGGACT,TADA2B,23.81,100.0,0.047368420999999994,0,AZD_200nM,0.36062021171862385 -2416,CTTTCTGCCTCGGACAGTCTGGAAGGGGTG,CD5,5.26,26.0,0.267782427,0,nodrug,0.5405796219131127 -2417,CCCTCTGCGCATGGTCTTCCGGGGTGGCTC,CCDC101,37.88,111.0,0.416107383,0,AZD_200nM,0.6190383135396581 -2418,AGTACTGCGTGTACTGCCTGGCCGAGGTGA,TADA2B,3.33,14.0,0.831578947,1,AZD_200nM,0.6139430829637312 -2419,TCACCTGCTAGAGCTCTTCAAAGAAGGCCA,NF2,99.5,592.0,0.125560538,0,PLX_2uM,0.2932757606378684 -2420,CCATCTGCTCACTTGAATTCTGAGGGGCGG,CD13,59.77,578.0,0.640659341,0,nodrug,0.6967540785689885 -2421,CAGGCTGCTCAGGGCGGCCTCCCAGGGCAT,CD13,71.98,696.0,0.158241758,0,nodrug,0.4096035357086217 -2422,GGTCCTGCTGAACCTCAATGTGACGGGCTA,CD13,64.74,626.0,0.474725275,0,nodrug,0.6003382616768522 -2423,TCATCTGCTGAACTTCCAAAGAATCGGCTT,NF2,52.94,315.0,0.412556054,0,PLX_2uM,0.5005550262050258 -2424,GCTACTGCTGCCCCTGCTGTGGGCAGGTGA,CD33,3.02,11.0,0.435064935,0,nodrug,0.4975004426542434 -2425,CAGCCTGCTGCTCAGCATCATCAGGGGGTG,TADA1,74.93,251.0,0.48623853200000006,0,AZD_200nM,0.5401879478380526 -2426,GCTGCTGCTGCTGCTCAGGTAGGATGGCTG,MED12,94.07,2048.0,0.123376623,0,AZD_200nM,0.2515533763907851 -2427,GCTGCTGCTGCTGCTCAGGTAGGATGGCTG,MED12,94.07,2048.0,0.090909091,0,PLX_2uM,0.2515533763907851 -2428,GGGCCTGCTGGTGCACATAGCCACTGGGCC,MED12,91.73,1997.0,0.25432900399999997,0,AZD_200nM,0.2554128915659857 -2429,GGGCCTGCTGGTGCACATAGCCACTGGGCC,MED12,91.73,1997.0,0.194805195,0,PLX_2uM,0.2554128915659857 -2430,CCTGCTGCTGTCTGCCATCTCTGATGGATG,CD13,61.22,592.0,0.49670329700000004,0,nodrug,0.4446458289535361 -2431,AAAGCTGCTGTCTGTTGCTGCTGCTGGGTC,MED12,98.62,2147.0,0.011904762,0,AZD_200nM,-0.0003986354652024469 -2432,AAAGCTGCTGTCTGTTGCTGCTGCTGGGTC,MED12,98.62,2147.0,0.010822511000000002,0,PLX_2uM,-0.0003986354652024469 -2433,CGTGCTGCTGTGGTGGGAGCCCTTCGGGGG,CD15,37.17,197.0,0.252747253,0,nodrug,0.2845290058556117 -2434,ATATCTGCTTCCTCACAGAGGTGGCGGAAA,NF1,25.08,712.0,0.47418478299999994,0,PLX_2uM,0.5997845846608506 -2435,TGACCTGCTTCTTCAGGTAGTTCTGGGGAA,CD13,74.46,720.0,0.115384615,0,nodrug,0.27351196721300747 -2436,GCTGCTGCTTGGAGTGGATGCCCTGGGGCT,NF2,40.0,238.0,0.7757847529999999,0,PLX_2uM,0.4472522236892556 -2437,CATGCTGGAAGGCCTGGAAGCAGAGGGCAA,CD45,62.04,701.0,0.512635379,0,nodrug,0.6056455943949669 -2438,GCTGCTGGACGCCATCGAGCAGTTCGGCTT,TADA2B,20.0,84.0,0.947368421,1,AZD_200nM,0.5575169567477135 -2439,TCAACTGGACGCTCTCCTACCGGGCGGACT,CD15,60.57,321.0,0.655677656,0,nodrug,0.7944540056593576 -2440,AGACCTGGAGACAAGGTGGCTGCCCGGGTG,CCDC101,55.97,164.0,0.29530201300000003,0,AZD_200nM,0.49330803508425886 -2441,GGTGCTGGATCTTTGCCTTGGCCAGGGGGT,TADA1,25.67,86.0,0.43119266100000003,0,AZD_200nM,0.4101833626996557 -2442,AAGGCTGGCACCAGATTGTAGTCACGGGCG,TADA2B,53.57,225.0,0.605263158,0,AZD_200nM,0.62122698918437 -2443,AAGTCTGGCAGGCCAATCTGGTCTGGGGAG,CD13,35.37,342.0,0.324175824,0,nodrug,0.4633191914655447 -2444,CCCTCTGGCATGGGCAGGTTGGACGGGGCA,MED12,18.47,402.0,0.8441558440000001,1,AZD_200nM,0.4284021257835527 -2445,CCCTCTGGCATGGGCAGGTTGGACGGGGCA,MED12,18.47,402.0,0.854978355,1,PLX_2uM,0.4284021257835527 -2446,AGCGCTGGCCCGGGGGCCTGGGGCTGGAGG,CD15,53.77,285.0,0.128205128,0,nodrug,0.2570605490978592 -2447,TGGTCTGGCCGACAGTTGGATAGGTGGCTG,NF1,88.34,2508.0,0.838315217,1,PLX_2uM,0.491543736876772 -2448,CTGACTGGCCTCAAAGGTAGCAAAAGGCTT,NF1,60.02,1704.0,0.7214673909999999,0,PLX_2uM,0.5781100525485952 -2449,GTCACTGGCTACATTTGATGGTTCTGGAAG,CD43,29.62,117.0,0.27536231899999997,0,nodrug,0.26700877007544804 -2450,TGGCCTGGCTCAAAATGGACAAGAAGGTTG,NF2,13.28,79.0,0.98206278,1,PLX_2uM,0.6239110772113946 -2451,GCTGCTGGCTGCCACATACCTGCTGGGAAC,CD5,2.63,13.0,0.907949791,1,nodrug,0.5926441916718997 -2452,CTGGCTGGCTGCGTTTCTTGCCCTTGGTGG,MED12,82.18,1789.0,0.16991342,0,AZD_200nM,0.3113906550533645 -2453,CTGGCTGGCTGCGTTTCTTGCCCTTGGTGG,MED12,82.18,1789.0,0.153679654,0,PLX_2uM,0.3113906550533645 -2454,GCAGCTGGCTTACCAAGTTCCAGGTGGGCT,CD13,44.36,429.0,0.564835165,0,nodrug,0.6379744074064222 -2455,ATGACTGGCTTCCTTTGTGCCCTTGGGGGA,NF1,29.83,847.0,0.251358696,0,PLX_2uM,0.2746691396785639 -2456,GCTCCTGGGAAAGGGTCCCCGTGCTGGTAT,CD13,57.7,558.0,0.35824175799999997,0,nodrug,0.49163557801832886 -2457,TTACCTGGGAAGTCTGCAAACCGTAGGAAG,MED12,88.98,1937.0,0.378787879,0,AZD_200nM,0.466504719284634 -2458,TTACCTGGGAAGTCTGCAAACCGTAGGAAG,MED12,88.98,1937.0,0.334415584,0,PLX_2uM,0.466504719284634 -2459,GCCACTGGGACGAGCGCCAGGCCCGGGTCC,CD15,69.62,369.0,0.816849817,1,nodrug,0.46907365149190805 -2460,CGGGCTGGGCAAGATGGCGGCCTTCGGGAT,MED12,0.14,3.0,0.106060606,0,AZD_200nM,0.30339607474133157 -2461,CGGGCTGGGCAAGATGGCGGCCTTCGGGAT,MED12,0.14,3.0,0.083333333,0,PLX_2uM,0.30339607474133157 -2462,TCTCCTGGGCACAGAGGAACCCGGGGGAGG,CD5,68.42,338.0,0.90376569,1,nodrug,0.731476743222594 -2463,CGCCCTGGGCACTCATTGGAGTCATGGTAC,MED12,93.29,2031.0,0.253246753,0,AZD_200nM,0.3011309249566515 -2464,CGCCCTGGGCACTCATTGGAGTCATGGTAC,MED12,93.29,2031.0,0.244588745,0,PLX_2uM,0.3011309249566515 -2465,TGGTCTGGGCTTGTCGGCAAATCGGGGGGG,NF1,23.92,679.0,0.25,0,PLX_2uM,0.37426361567310334 -2466,AGAACTGGGGACTGGTGACCTACCGGGAGA,CD13,37.44,362.0,0.508791209,0,nodrug,0.6186896031257404 -2467,GCTTCTGGGGTAGAGGTAGCCATAAGGCAC,CD15,62.45,331.0,0.505494505,0,nodrug,0.5534946984560352 -2468,GGGCCTGGGGTCCCTCAGCTCTGCAGGAGC,CD5,45.75,226.0,0.087866109,0,nodrug,0.3872851702323719 -2469,TACACTGGTACTGGTACACAGTTCTGGGCT,CD45,83.36,942.0,0.21299639,0,nodrug,0.2751279312783287 -2470,CGTGCTGGTATCCACCGTGATGACCGGGAA,CD13,57.08,552.0,0.32637362600000003,0,nodrug,0.4945202393470498 -2471,CTACCTGGTATTCAGCCTCCAGAGGGGAGG,CD45,68.14,770.0,0.6425992779999999,0,nodrug,0.7036692189861358 -2472,GTGGCTGGTCGTAAAGAACCCCAAGGGTCC,MED12,33.21,723.0,0.812770563,1,AZD_200nM,0.7481536821373054 -2473,GTGGCTGGTCGTAAAGAACCCCAAGGGTCC,MED12,33.21,723.0,0.791125541,0,PLX_2uM,0.7481536821373054 -2474,TTCGCTGGTCTTTCGATAAATGCCAGGAAG,MED12,20.4,444.0,0.832251082,1,AZD_200nM,0.5621835050849128 -2475,TTCGCTGGTCTTTCGATAAATGCCAGGAAG,MED12,20.4,444.0,0.8787878790000001,1,PLX_2uM,0.5621835050849128 -2476,CAGGCTGGTGAAGCAGAGAGACTCAGGGCC,H2-K,47.97,177.0,0.644970414,0,nodrug,0.4953192176862875 -2477,GTACCTGGTGCACCTGGCTGTAGAGGGAGG,MED12,69.09,1504.0,0.325757576,0,AZD_200nM,0.5251427732229308 -2478,GTACCTGGTGCACCTGGCTGTAGAGGGAGG,MED12,69.09,1504.0,0.346320346,0,PLX_2uM,0.5251427732229308 -2479,ATCGCTGGTGCTAACATGTCTGAAAGGGCA,MED12,68.4,1489.0,0.40692640700000005,0,AZD_200nM,0.5749760484398717 -2480,ATCGCTGGTGCTAACATGTCTGAAAGGGCA,MED12,68.4,1489.0,0.395021645,0,PLX_2uM,0.5749760484398717 -2481,AGGGCTGGTTGGAGAGGGTGACGCGGGAGC,THY1,48.77,79.0,0.85483871,1,nodrug,0.5702776489020053 -2482,TGCTCTGGTTGTAGTAGCCGAGCAGGGTCC,H2-K,27.91,103.0,0.8875739640000001,1,nodrug,0.6760922843293938 -2483,TTCACTGGTTTCTTCATCAATTCCAGGCAG,NF1,96.72,2746.0,0.11956521699999999,0,PLX_2uM,0.09325894005012098 -2484,GGGGCTGGTTTGGAACAGTCCGAGTGGACC,MED12,78.5,1709.0,0.666666667,0,AZD_200nM,0.6157191289644245 -2485,GGGGCTGGTTTGGAACAGTCCGAGTGGACC,MED12,78.5,1709.0,0.67965368,0,PLX_2uM,0.6157191289644245 -2486,TCACCTGTCACATGCACAGAGAGCTGGGGA,CD33,36.81,134.0,0.42207792200000005,0,nodrug,0.4598147990435849 -2487,ACACCTGTCAGCAAATTTATGGATCGGCTG,NF1,31.56,896.0,0.667119565,0,PLX_2uM,0.6035516174327875 -2488,GCCCCTGTCATTGGGGGTGAGGTACGGTCT,CD13,9.62,93.0,0.420879121,0,nodrug,0.5651743235908229 -2489,AGCCCTGTCCAACATGCTTCCCAAAGGTGA,CD13,25.96,251.0,0.6758241759999999,0,nodrug,0.6685115050602827 -2490,TACGCTGTCCACATCACCTCCTTCTGGGAC,CD15,94.15,499.0,0.362637363,0,nodrug,0.18719781046578512 -2491,TTACCTGTCCATAATTAGTCCATGAGGAAT,HPRT1,18.35,40.0,0.546875,0,6TG_2ug/mL,0.7089667292349322 -2492,ACATCTGTCCGGGACAGAGGCAGCAGGGAC,CD5,44.13,218.0,0.066945607,0,nodrug,0.49410605119027495 -2493,TCAACTGTCTCATCCCGGGGCCCTAGGAGT,CD45,48.94,553.0,0.353790614,0,nodrug,0.4572533511340228 -2494,CTGGCTGTCTCCACAGAGATGTTGCGGCCA,MED12,58.2,1267.0,0.6861471859999999,0,AZD_200nM,0.6263427878963983 -2495,CTGGCTGTCTCCACAGAGATGTTGCGGCCA,MED12,58.2,1267.0,0.814935065,1,PLX_2uM,0.6263427878963983 -2496,TCAGCTGTCTCCTCAGACCGCATCTGGAGG,NF2,63.03,375.0,0.322869955,0,PLX_2uM,0.379769351612547 -2497,CCGCCTGTCTCTTCTCCAGGAGCTTGGCTA,MED12,24.25,528.0,0.888528139,1,AZD_200nM,0.5550968903802885 -2498,CCGCCTGTCTCTTCTCCAGGAGCTTGGCTA,MED12,24.25,528.0,0.922077922,1,PLX_2uM,0.5550968903802885 -2499,AGCTCTGTGAGAAGTTCTGCAATGCGGGAA,CCDC101,3.41,10.0,0.32885906,0,AZD_200nM,0.6567723893020516 -2500,CTTCCTGTGCCTGCAGAAGGAGTTGGGGGA,MED12,74.55,1623.0,0.12012987,0,AZD_200nM,0.28953602120977384 -2501,CTTCCTGTGCCTGCAGAAGGAGTTGGGGGA,MED12,74.55,1623.0,0.04978355,0,PLX_2uM,0.28953602120977384 -2502,TGTTCTGTGCCTTGTTCAATCTCTTGGAAA,CD45,89.38,1010.0,0.079422383,0,nodrug,0.20375916144179315 -2503,CCCGCTGTGGGGGCGCATGGATCAGGGCGC,CCDC101,84.98,249.0,0.859060403,1,AZD_200nM,0.4427950566164796 -2504,TCGCCTGTGGTAAACCAACACAGCGGGTTC,CUL3,83.46,641.0,0.7987012990000001,0,PLX_2uM,0.5581268956717135 -2505,GCTGCTGTGGTGGGAGCCCTTCGGGGGGCG,CD15,37.36,198.0,0.732600733,0,nodrug,0.5049989432277504 -2506,CAGGCTGTGTGGCGTCGTGAAGCATGGGAT,MED12,43.91,956.0,0.792207792,0,AZD_200nM,0.5537225129459591 -2507,CAGGCTGTGTGGCGTCGTGAAGCATGGGAT,MED12,43.91,956.0,0.8506493509999999,1,PLX_2uM,0.5537225129459591 -2508,TCCACTGTTACAGTGGCCAGTGGTAGGGGA,NF1,98.8,2805.0,0.025815217,0,PLX_2uM,0.18856469526006572 -2509,CTTACTGTTCTGGTTCACTCCTGTGGGGCC,CD5,85.22,421.0,0.234309623,0,nodrug,0.40606916508303004 -2510,ATGGCTGTTGAACGGACGCCTGCCTGGACG,MED12,93.71,2040.0,0.062770563,0,AZD_200nM,0.1277852361828417 -2511,ATGGCTGTTGAACGGACGCCTGCCTGGACG,MED12,93.71,2040.0,0.074675325,0,PLX_2uM,0.1277852361828417 -2512,CTGACTGTTGGAAAACCTCGATTGTGGCCT,MED12,63.71,1387.0,0.972943723,1,AZD_200nM,0.7566336627415072 -2513,CTGACTGTTGGAAAACCTCGATTGTGGCCT,MED12,63.71,1387.0,0.945887446,1,PLX_2uM,0.7566336627415072 -2514,GTCTCTGTTGGAAGAGAGGCGGATTGGTGA,CCDC101,32.42,95.0,0.17449664399999998,0,AZD_200nM,0.5660410844897831 -2515,CTTACTGTTTCACGTTGTCCCCCAGGGCCT,TADA1,5.97,20.0,0.8440366970000001,1,AZD_200nM,0.58059125559076 -2516,TGTCCTGTTTCCGCCACCTCTGTGAGGAAG,NF1,25.15,714.0,0.993206522,1,PLX_2uM,0.6842785279768062 -2517,GCCCCTGTTTCCTGGACAGTGGCGGGGCCA,CD15,65.85,349.0,0.9706959709999999,1,nodrug,0.6219281310290018 -2518,TTTACTTAAGAAATAACTGTGATTTGGCTT,NF1,38.75,1100.0,0.21875,0,PLX_2uM,0.2872904187023866 -2519,GTAGCTTACAACAACTTAATAGAAAGGTAA,TADA1,68.66,230.0,0.532110092,0,AZD_200nM,0.5531238932982314 -2520,AATACTTACACAAAGCAAGAGCTTTGGATC,NF1,17.82,506.0,0.633152174,0,PLX_2uM,0.527158641973101 -2521,TCTCCTTACCCCATCTCAGGGTGAGGGGCT,H2-K,79.13,292.0,0.142011834,0,nodrug,0.4084480762523601 -2522,TTTACTTACCTGGATATAGTCAACAGGATT,CUL3,44.27,340.0,0.805194805,1,PLX_2uM,0.5009389023025106 -2523,CCCTCTTACCTGTGGGCTCCGGCACGGTGG,CD5,30.57,151.0,0.334728033,0,nodrug,0.5855206921501286 -2524,GGAGCTTACTGTTGTAGCCACAGAGGGTCC,CD43,44.05,174.0,0.898550725,1,nodrug,0.7043792099066473 -2525,TTTTCTTAGAGACTTCCTTCATACAGGAGT,CD45,69.03,780.0,0.32490974699999997,0,nodrug,0.4153986898665941 -2526,CAATCTTAGGCCACCAATCCAATGCGGACT,NF1,14.9,423.0,0.9660326090000001,1,PLX_2uM,0.7854368303846444 -2527,CCTCCTTAGGCTTCACCATTGGACGGGTAC,MED12,20.85,454.0,0.591991342,0,AZD_200nM,0.5739069979897226 -2528,CCTCCTTAGGCTTCACCATTGGACGGGTAC,MED12,20.85,454.0,0.691558442,0,PLX_2uM,0.5739069979897226 -2529,TCCTCTTATAAGACCTCTGTGTACCGGCAG,MED12,87.18,1898.0,0.535714286,0,AZD_200nM,0.450871680475371 -2530,TCCTCTTATAAGACCTCTGTGTACCGGCAG,MED12,87.18,1898.0,0.34307359299999995,0,PLX_2uM,0.450871680475371 -2531,CTGGCTTATATCCAACACTTCGTGGGGTCC,HPRT1,77.98,170.0,0.5,0,6TG_2ug/mL,0.5831401377281489 -2532,CCAGCTTATTAACACGAAGCTTTGAGGAGT,NF2,48.57,289.0,0.206278027,0,PLX_2uM,0.4652326257691476 -2533,TGTCCTTCAACAATTCCCTTGATGTGGCAG,NF1,73.79,2095.0,0.355978261,0,PLX_2uM,0.5146462168709492 -2534,GTCCCTTCAATCTTCTCCTTGGGTGGGGGC,MED12,32.8,714.0,0.295454545,0,AZD_200nM,0.4092624025610826 -2535,GTCCCTTCAATCTTCTCCTTGGGTGGGGGC,MED12,32.8,714.0,0.300865801,0,PLX_2uM,0.4092624025610826 -2536,CGAACTTCACCTGACAGGTCAGGTTGGTGC,CD33,57.69,210.0,0.554112554,0,nodrug,0.6267121923730833 -2537,GGCGCTTCACGCTCTGGGGGCCCGAGGCCG,TADA2B,15.24,64.0,0.9263157890000001,1,AZD_200nM,0.6150358840245579 -2538,TCAACTTCACTGCAGTCATTCAAAAGGTTC,NF1,39.24,1114.0,0.005434783,0,PLX_2uM,0.40944561193854406 -2539,CTGCCTTCAGCCTCCTTGTGCTCTGGGTCA,MED12,29.63,645.0,0.057359307000000005,0,AZD_200nM,0.36657403816091266 -2540,CTGCCTTCAGCCTCCTTGTGCTCTGGGTCA,MED12,29.63,645.0,0.04437229400000001,0,PLX_2uM,0.36657403816091266 -2541,CCTGCTTCAGCTGATCTGCCTCTTTGGCCC,NF2,75.63,450.0,0.031390135,0,PLX_2uM,0.1496321953717165 -2542,GTACCTTCATGGGGCCATAGACCTCGGAGC,CD13,73.84,714.0,0.696703297,0,nodrug,0.5596678802482927 -2543,CACTCTTCCAAAAATTCTAACGTGAGGTGT,NF1,67.74,1923.0,0.8790760870000001,1,PLX_2uM,0.6241391061038861 -2544,AAATCTTCCACACAGATTCCCCAAAGGCCC,H2-K,55.83,206.0,0.958579882,1,nodrug,0.6963005884790797 -2545,AGTGCTTCCAGAAAACAACGGCCCAGGAGG,CD5,51.82,256.0,0.45606694600000003,0,nodrug,0.543628194288499 -2546,GAACCTTCCAGAAGTGGGCATCTGTGGTGG,H2-K,72.36,267.0,0.27218934899999997,0,nodrug,0.5103364006811925 -2547,AGAACTTCCAGAGGAGGAGGGAGGAGGTGG,MED12,57.6,1254.0,0.196969697,0,AZD_200nM,0.523195226808803 -2548,AGAACTTCCAGAGGAGGAGGGAGGAGGTGG,MED12,57.6,1254.0,0.29004329,0,PLX_2uM,0.523195226808803 -2549,GAAGCTTCCCAAGGCTTCCCCAGAAGGGAT,CD45,86.64,979.0,0.476534296,0,nodrug,0.5093047904683874 -2550,ACGACTTCCCAAGTGCCTCCTCCCTGGCCT,CD15,88.11,467.0,0.879120879,1,nodrug,0.4755278304136408 -2551,AGTCCTTCCCATGCTTCGATGAGCCGGCCA,CD13,23.37,226.0,0.31978022,0,nodrug,0.5157724645629842 -2552,CAGGCTTCCCGATCCACAGGGGCAGGGTCA,CCDC101,44.71,131.0,0.677852349,0,AZD_200nM,0.5842880844613755 -2553,TGCGCTTCCGCTGCACCGAGTGCCAGGACA,TADA2B,6.19,26.0,0.31578947399999996,0,AZD_200nM,0.4485366895263842 -2554,CAGCCTTCCTGGGGAAGGACAAGAAGGAGA,TADA2B,56.43,237.0,0.331578947,0,AZD_200nM,0.5635719844169506 -2555,ACCTCTTCCTTCTTACTGAAAATGGGGACC,MED12,6.2,135.0,0.550865801,0,AZD_200nM,0.6396186621920116 -2556,ACCTCTTCCTTCTTACTGAAAATGGGGACC,MED12,6.2,135.0,0.524891775,0,PLX_2uM,0.6396186621920116 -2557,CATGCTTCGATGAGCCGGCCATGAAGGCCG,CD13,23.68,229.0,0.567032967,0,nodrug,0.5478941283479122 -2558,CTGGCTTCGATTCCATCTTCAAGAAGGAGG,MED12,76.85,1673.0,0.765151515,0,AZD_200nM,0.49569297155863856 -2559,CTGGCTTCGATTCCATCTTCAAGAAGGAGG,MED12,76.85,1673.0,0.703463203,0,PLX_2uM,0.49569297155863856 -2560,CGGGCTTCTACCGCAGCGAGTACATGGAGG,CD13,20.48,198.0,0.516483516,0,nodrug,0.5056730007133726 -2561,TTTTCTTCTAGAATGTCTTGATTGTGGAAG,HPRT1,60.55,132.0,0.59375,0,6TG_2ug/mL,0.530870075251938 -2562,AGGGCTTCTATATTTCCAAGTCCCTGGGCA,CD13,1.03,10.0,0.378021978,0,nodrug,0.4550507551889374 -2563,GCAACTTCTTCAGTGGTCCCATTGTGGTGC,CD45,59.73,675.0,0.42960288799999996,0,nodrug,0.5909905685365375 -2564,ACTTCTTCTTGCGTTCCTCAGTACTGGGTG,MED12,81.72,1779.0,0.14285714300000002,0,AZD_200nM,0.3120215059356976 -2565,ACTTCTTCTTGCGTTCCTCAGTACTGGGTG,MED12,81.72,1779.0,0.135281385,0,PLX_2uM,0.3120215059356976 -2566,TCTCCTTCTTGTCCTTCCCCAGGAAGGCTG,TADA2B,55.48,233.0,0.526315789,0,AZD_200nM,0.5280538403228656 -2567,ATAGCTTCTTGTCTCCAGGTCTGTAGGTTT,NF1,17.01,483.0,0.91576087,1,PLX_2uM,0.554153341381988 -2568,CCTGCTTCTTTACAGGTTATTGGAAGGATG,NF1,72.28,2052.0,0.536684783,0,PLX_2uM,0.5145266430666601 -2569,TGGCCTTCTTTGAAGAGCTCTAGCAGGTGA,NF2,101.0,945.3352535,0.02690583,0,PLX_2uM,0.18064253761683416 -2570,TGTTCTTGCAACAATAGCAGGTGAAGGATG,NF1,84.64,2403.0,0.466032609,0,PLX_2uM,0.5167975679160676 -2571,CTCACTTGCACTCAGCCTCTGCATCGGCCT,CCDC101,23.89,70.0,0.5100671139999999,0,AZD_200nM,0.5569566208076874 -2572,TATACTTGCACTCTCATCTCCCGAGGGGAC,MED12,28.53,621.0,0.91017316,1,AZD_200nM,0.6733832218454686 -2573,TATACTTGCACTCTCATCTCCCGAGGGGAC,MED12,28.53,621.0,0.9361471859999999,1,PLX_2uM,0.6733832218454686 -2574,TTTCCTTGCAGAATCCAAGAAAACAGGGGC,NF1,18.07,513.0,0.341032609,0,PLX_2uM,0.3981904844444015 -2575,GTTACTTGCCAGGCTTCGCAGCCCCGGGGA,CD15,57.74,306.0,0.73992674,0,nodrug,0.4585171308436587 -2576,GACCCTTGCCCAGTACCTGAGAGCAGGAGA,THY1,6.79,11.0,0.596774194,0,nodrug,0.6116324486405547 -2577,GGCCCTTGCCCCATGATGTAGAGGTGGCAA,MED12,10.43,227.0,0.554112554,0,AZD_200nM,0.6698389797745219 -2578,GGCCCTTGCCCCATGATGTAGAGGTGGCAA,MED12,10.43,227.0,0.5476190479999999,0,PLX_2uM,0.6698389797745219 -2579,ATACCTTGCGACCTTGACCATCTTTGGATT,HPRT1,72.02,157.0,0.0625,0,6TG_2ug/mL,0.2545823613118016 -2580,TGTGCTTGCTGCTGCCACCCCTGTCGGAGT,NF2,95.46,568.0,0.089686099,0,PLX_2uM,0.26285363595714645 -2581,ATGTCTTGCTGGAAACTTCCTGAGAGGCAG,CD43,26.33,104.0,0.971014493,1,nodrug,0.6989622745633134 -2582,GGGACTTGGAAATATAGAAGCCCTTGGCCA,CD13,0.41,4.0,0.68021978,0,nodrug,0.5677022594938805 -2583,TGTCCTTGGAGCTGCAATAGTCACTGGAGC,H2-K,86.45,319.0,0.40828402399999997,0,nodrug,0.4920791996377017 -2584,GATCCTTGGCAGAAGACCTGGTTCTGGGGT,CD5,20.65,102.0,0.410041841,0,nodrug,0.3048354943323612 -2585,CGTACTTGGCATAGACATCCAGACTGGCTG,MED12,58.57,1275.0,0.805194805,1,AZD_200nM,0.6289714933870292 -2586,CGTACTTGGCATAGACATCCAGACTGGCTG,MED12,58.57,1275.0,0.876623377,1,PLX_2uM,0.6289714933870292 -2587,TGGCCTTGGCGATGTTCTCCAAGAGGGAGT,MED12,63.34,1379.0,0.5281385279999999,0,AZD_200nM,0.6563097557915204 -2588,TGGCCTTGGCGATGTTCTCCAAGAGGGAGT,MED12,63.34,1379.0,0.616883117,0,PLX_2uM,0.6563097557915204 -2589,GTGGCTTGGGATCAATAAAAGCTGAGGTGA,NF1,71.43,2028.0,0.42798913,0,PLX_2uM,0.5837668329742998 -2590,GAAGCTTGGTATGTCAGGAGGCAACGGTGC,NF2,82.69,492.0,0.26905829600000003,0,PLX_2uM,0.4955545071177835 -2591,TTGGCTTGGTGACCTGGTGGTTATGGGATC,CD43,60.25,238.0,0.10869565199999999,0,nodrug,0.2731363654215798 -2592,CATCCTTGGTGGTGAAGTTGGCTAGGGTAA,THY1,57.41,93.0,0.983870968,1,nodrug,0.6217603795763716 -2593,GATACTTGGTGTACTCCCTGACCCAGGAGT,NF1,59.39,1686.0,0.730978261,0,PLX_2uM,0.7178805758960713 -2594,CAGTCTTGTCAATGTCGGGGGGCTGGGAGC,CD13,15.2,147.0,0.124175824,0,nodrug,0.41077647147145074 -2595,GGAGCTTGTGGAGACCAGGCCTGCAGGGGA,H2-K,69.38,256.0,0.207100592,0,nodrug,0.3808617377664142 -2596,TTATCTTGTGTCCAGAAATAATCCAGGATA,NF1,9.9,281.0,0.95923913,1,PLX_2uM,0.6147184812725918 -2597,AGAGCTTGTTGTCACAGTGGTGGGGGGTGC,CD43,40.51,160.0,0.463768116,0,nodrug,0.6204479925112657 -2598,AGCTCTTGTTTCTGAAGAAGGAGAAGGAAA,CUL3,43.36,333.0,0.162337662,0,PLX_2uM,0.5719521936022461 -2599,CCTACTTTAGAACAACATCTTATGTGGGAT,NF1,73.05,2074.0,0.470108696,0,PLX_2uM,0.4718276754229257 -2600,TTCCCTTTCAACCACCTTTACAATTGGTTC,CUL3,33.98,261.0,0.064935065,0,PLX_2uM,0.3391751091465657 -2601,CATCCTTTCCTTGCAGGGCCAAAGAGGCAG,NF2,75.46,449.0,0.789237668,0,PLX_2uM,0.5175741249620938 -2602,CCTGCTTTCTAGCCTTCTCCTCCCTGGCCT,NF2,54.96,327.0,0.47533632299999995,0,PLX_2uM,0.46713082588411386 -2603,GGCTCTTTCTTGACACATCTGTCCGGGACA,CD5,43.32,214.0,0.514644351,0,nodrug,0.5000509259597836 -2604,CGTTCTTTGCGTGAAGAGGAACCCAGGTGC,MED12,66.97,1458.0,0.852813853,1,AZD_200nM,0.7060582355682128 -2605,CGTTCTTTGCGTGAAGAGGAACCCAGGTGC,MED12,66.97,1458.0,0.852813853,1,PLX_2uM,0.7060582355682128 -2606,GAATCTTTGGATTGGGACCTAGCAAGGATG,MED12,22.51,490.0,0.248917749,0,AZD_200nM,0.5656818451464326 -2607,GAATCTTTGGATTGGGACCTAGCAAGGATG,MED12,22.51,490.0,0.222943723,0,PLX_2uM,0.5656818451464326 -2608,TCACCTTTGGGAAGCATGTTGGACAGGGCT,CD13,25.54,247.0,0.103296703,0,nodrug,0.4376029036480292 -2609,TCCTCTTTGGGGCATGCTGGGTCCAGGTGG,CD43,3.54,14.0,0.15942029,0,nodrug,0.38217936590100715 -2610,ACTACTTTGGGTACCTTTGAGTGGAGGTCA,MED12,92.47,2013.0,0.677489177,0,AZD_200nM,0.4164037038339886 -2611,ACTACTTTGGGTACCTTTGAGTGGAGGTCA,MED12,92.47,2013.0,0.688311688,0,PLX_2uM,0.4164037038339886 -2612,TGCACTTTGGTGTGGCTGACTGAGTGGGCC,CUL3,67.19,516.0,0.9870129870000001,1,PLX_2uM,0.5090038043076662 -2613,AGGACTTTGTCCAGGTAGCTAGGAAGGCGG,TADA2B,93.81,394.0,0.373684211,0,AZD_200nM,0.3962397893594386 -2614,CGACCTTTGTGAGCGAGCTGGAGGCGGCCA,TADA1,2.69,9.0,0.577981651,0,AZD_200nM,0.5722566569762735 -2615,AGGGCTTTGTGCAGAGGCGAGTCCTGGCAA,NF1,81.3,2308.0,0.471467391,0,PLX_2uM,0.37314204578486454 -2616,GTTGGAAAACCTCGATTGTGGCCTTGGCGA,MED12,63.62,1385.0,0.031385281,0,AZD_200nM,0.4542722821126699 -2617,GTTGGAAAACCTCGATTGTGGCCTTGGCGA,MED12,63.62,1385.0,0.05952381,0,PLX_2uM,0.4542722821126699 -2618,TCATGAAAAGATAGGTCACTGACCTGGAGG,MED12,51.4,1119.0,0.9339826840000001,1,AZD_200nM,0.6311621987375863 -2619,TCATGAAAAGATAGGTCACTGACCTGGAGG,MED12,51.4,1119.0,0.996753247,1,PLX_2uM,0.6311621987375863 -2620,ATGTGAAAAGATGACAAACCTGGTAGGATC,NF1,46.67,1325.0,0.6209239129999999,0,PLX_2uM,0.6773880403506608 -2621,CGAGGAAAAGCAGGTACGAGGCCAGGGAGG,CD15,88.49,469.0,0.315018315,0,nodrug,0.4396966729705039 -2622,CCAGGAAACAGGGGCTGGTGGCATGGGTGG,CD15,67.55,358.0,0.615384615,0,nodrug,0.3886292070642382 -2623,TCCAGAAACGCCTAAGCCTAGTTGTGGGGA,CD45,19.47,220.0,0.740072202,0,nodrug,0.5852431856021583 -2624,AACAGAAACTACCTGCTGCCACCTTGGCTT,NF1,60.94,1730.0,0.86548913,1,PLX_2uM,0.6243321123369703 -2625,CTCGGAAACTCTGCTCATTGCCCTTGGCTT,H2-K,24.39,90.0,0.928994083,1,nodrug,0.48656680024336113 -2626,TCCAGAAACTGCAGGAGGACATCCTGGAAA,MED12,26.09,568.0,0.426406926,0,AZD_200nM,0.5168737154799671 -2627,TCCAGAAACTGCAGGAGGACATCCTGGAAA,MED12,26.09,568.0,0.420995671,0,PLX_2uM,0.5168737154799671 -2628,GCTGGAAACTTCCTGAGAGGCAGTAGGCTC,CD43,25.82,102.0,0.8840579709999999,1,nodrug,0.6559464718239341 -2629,AACTGAAAGAGAGGGAGACAGCTCTGGATA,NF2,93.61,557.0,0.15246636800000002,0,PLX_2uM,0.33788531360925284 -2630,GGAGGAAAGCAGCCAGGACAGCAGTGGGCA,CD33,80.49,293.0,0.18614718600000002,0,nodrug,0.49231968610533705 -2631,TTCGGAAAGCTCTGGACAAGATCGCGGAAA,CCDC101,28.67,84.0,0.88590604,1,AZD_200nM,0.7010017005728543 -2632,TTTGGAAAGGGTGTTTATTCCTCATGGACT,HPRT1,17.43,38.0,0.84375,1,6TG_2ug/mL,0.5398882570248615 -2633,TTCAGAAATAATACCAACAACTGGAGGGAG,CD13,76.53,740.0,0.57032967,0,nodrug,0.5717703626093431 -2634,CCAGGAAATCCATGAGCCTGGACATGGGGC,NF1,88.94,2525.0,0.456521739,0,PLX_2uM,0.39782988655228557 -2635,ACCAGAAATGATGATTGCTGCTCAGGGGCC,CD45,76.19,861.0,0.32129963899999997,0,nodrug,0.4828336054676389 -2636,GCCAGAAATTTGGATCCATAGCCAGGGCCC,CD33,4.4,16.0,0.20129870100000002,0,nodrug,0.6377677809900679 -2637,TGAAGAACACCATCTACTGCAACGTGGAGC,MED12,46.26,1007.0,0.8214285709999999,1,AZD_200nM,0.8019346159138548 -2638,TGAAGAACACCATCTACTGCAACGTGGAGC,MED12,46.26,1007.0,0.832251082,1,PLX_2uM,0.8019346159138548 -2639,CAGGGAACACCCCCGATCTTCTCCTGGTTG,CD33,48.9,178.0,0.45670995700000006,0,nodrug,0.5159883347547014 -2640,ACTAGAACAGTAAGAAGCAGCGCCTGGATC,NF1,92.18,2617.0,0.317934783,0,PLX_2uM,0.30892809428936835 -2641,CCCGGAACCAGTAACCATGAACTGGGGAGT,CD33,15.38,56.0,0.891774892,1,nodrug,0.783154652834335 -2642,CATAGAACCCTTACGTTCACTGACTGGACC,NF1,30.68,871.0,0.033967391,0,PLX_2uM,0.5473026134625919 -2643,TCATGAACCGCTGGACCCTGCAGATGGGCT,CD13,56.46,546.0,0.516483516,0,nodrug,0.5177537273365119 -2644,ACATGAACCTGGCGAAGAAGTTGCAGGTAA,MED12,74.41,1620.0,0.597402597,0,AZD_200nM,0.510201716509056 -2645,ACATGAACCTGGCGAAGAAGTTGCAGGTAA,MED12,74.41,1620.0,0.5367965370000001,0,PLX_2uM,0.510201716509056 -2646,ACCTGAACCTGTGGGACCACCTGCAGGAGG,CD13,53.88,521.0,0.506593407,0,nodrug,0.5601835392480644 -2647,TTCAGAACCTTTGGGAGAGGACCATGGCTG,NF1,87.88,2495.0,0.8763586959999999,1,PLX_2uM,0.5966596325827777 -2648,TTTCGAACGCACCTCCTTCTGTTTGGGGTC,MED12,1.42,31.0,0.12987013,0,AZD_200nM,0.2377359837569479 -2649,TTTCGAACGCACCTCCTTCTGTTTGGGGTC,MED12,1.42,31.0,0.13636363599999998,0,PLX_2uM,0.2377359837569479 -2650,ACAAGAACGCCAACAGCTCCCCCGTGGCCT,CD13,4.65,45.0,0.49670329700000004,0,nodrug,0.7330245524184418 -2651,AATTGAACTCCATCTCGGCGTCCATGGTGA,NF2,5.04,30.0,0.704035874,0,PLX_2uM,0.568217590556075 -2652,CACAGAACTGGTTGCTGTGGTAGCAGGGAG,CD43,52.15,206.0,0.028985507,0,nodrug,0.4852299263403041 -2653,AGAAGAACTTAAGCGAGGCCCTGGGGGACA,TADA1,5.67,19.0,0.95412844,1,AZD_200nM,0.6534598671212855 -2654,AGAAGAACTTCCAGAGGAGGAGGGAGGAGG,MED12,57.56,1253.0,0.75974026,0,AZD_200nM,0.6936239822320119 -2655,AGAAGAACTTCCAGAGGAGGAGGGAGGAGG,MED12,57.56,1253.0,0.858225108,1,PLX_2uM,0.6936239822320119 -2656,AGCTGAACTTCGGAATTCTGCCTCTGGGGT,NF1,4.86,138.0,0.580163043,0,PLX_2uM,0.47430419299397575 -2657,CCAAGAAGAACTTAAGCGAGGCCCTGGGGG,TADA1,5.37,18.0,0.825688073,1,AZD_200nM,0.459840834215698 -2658,AACAGAAGAACTTCCAGAGGAGGAGGGAGG,MED12,57.51,1252.0,0.6385281389999999,0,AZD_200nM,0.673208132296167 -2659,AACAGAAGAACTTCCAGAGGAGGAGGGAGG,MED12,57.51,1252.0,0.546536797,0,PLX_2uM,0.673208132296167 -2660,TCATGAAGAATTACTACGTACTCCTGGAGC,NF1,23.0,653.0,0.35869565200000003,0,PLX_2uM,0.5194912231945084 -2661,GTTTGAAGACACCTCCTATGCAGATGGCTA,CCDC101,92.15,270.0,0.369127517,0,AZD_200nM,0.5386643289523498 -2662,TGGAGAAGAGACAGGCGGAGATTGAGGCTG,MED12,24.62,536.0,0.36796536799999996,0,AZD_200nM,0.5143364276311275 -2663,TGGAGAAGAGACAGGCGGAGATTGAGGCTG,MED12,24.62,536.0,0.396103896,0,PLX_2uM,0.5143364276311275 -2664,GTAGGAAGATATGGCTGCCCACGTTGGTGC,TADA2B,22.86,96.0,0.768421053,0,AZD_200nM,0.6856909559729423 -2665,AGTTGAAGATGAAAGTGCGCAAACAGGTGG,NF1,39.66,1126.0,0.726902174,0,PLX_2uM,0.5232724873142784 -2666,TAGGGAAGATGAGCTGCCACATCAAGGGAA,NF1,73.79,2095.0,0.832880435,1,PLX_2uM,0.5332506804911773 -2667,AGGAGAAGATTGAAGGGACCCTTGGGGTTC,MED12,33.16,722.0,0.655844156,0,AZD_200nM,0.7010537841674901 -2668,AGGAGAAGATTGAAGGGACCCTTGGGGTTC,MED12,33.16,722.0,0.715367965,0,PLX_2uM,0.7010537841674901 -2669,CATCGAAGCATGGGAAGGACTTCCGGGCAT,CD13,22.65,219.0,0.158241758,0,nodrug,0.4310863503911504 -2670,CATCGAAGCCACACAGCAACTGTGCGGTCC,CD5,88.26,436.0,0.748953975,0,nodrug,0.685951461977648 -2671,CTGAGAAGCCAGATGTCGAGAAGGAGGTGA,MED12,32.52,708.0,0.442640693,0,AZD_200nM,0.6205282961823493 -2672,CTGAGAAGCCAGATGTCGAGAAGGAGGTGA,MED12,32.52,708.0,0.48917748899999997,0,PLX_2uM,0.6205282961823493 -2673,GCAGGAAGCCCCAAGTGAACCAGAAGGATA,MED12,4.5,98.0,0.834415584,1,AZD_200nM,0.7047197699315837 -2674,GCAGGAAGCCCCAAGTGAACCAGAAGGATA,MED12,4.5,98.0,0.75974026,0,PLX_2uM,0.7047197699315837 -2675,TGCTGAAGCCCCTGGCGCTGGAACTGGGTG,MED12,98.16,2137.0,0.036796537000000004,0,AZD_200nM,-0.013637619241159062 -2676,TGCTGAAGCCCCTGGCGCTGGAACTGGGTG,MED12,98.16,2137.0,0.056277056,0,PLX_2uM,-0.013637619241159062 -2677,GCTCGAAGCCTGGAAGGTTCTCAATGGCGG,TADA2B,81.67,343.0,0.536842105,0,AZD_200nM,0.5148305518810192 -2678,CGCTGAAGCGCAAGATCACCAAGGAGGAGA,TADA2B,59.52,250.0,0.363157895,0,AZD_200nM,0.7578323518595935 -2679,TGTTGAAGCGCAGCCGGCAGTCAGGGGGCG,CD15,39.62,210.0,0.754578755,0,nodrug,0.5175054130249597 -2680,AGCGGAAGCGCAGCGGGCTCACCTCGGCCA,TADA2B,3.81,16.0,0.8052631579999999,1,AZD_200nM,0.6110009887913486 -2681,AGGAGAAGCGCCTGATGGAGCAGAAGGTGC,NF2,71.93,428.0,0.8520179370000001,1,PLX_2uM,0.5734542370497602 -2682,AGCTGAAGCTCATGCGGGAAGCGATGGCCC,NF2,1.01,6.0,0.349775785,0,PLX_2uM,0.5029637955932488 -2683,TGGTGAAGGACAGCCAGTATGAGATGGACA,CD13,18.3,177.0,0.963736264,1,nodrug,0.6796134488924493 -2684,ACTCGAAGGAGACCATCAGCCCCTGGGGGC,CD43,16.2,64.0,0.427536232,0,nodrug,0.5450559628675561 -2685,TACTGAAGGCAGCTCTGAACATCTAGGGCA,NF1,34.59,982.0,0.7771739129999999,0,PLX_2uM,0.5124261183111718 -2686,CCCAGAAGGCCGCAGAGGCTGAGCAGGAAA,NF2,68.24,406.0,0.040358744,0,PLX_2uM,0.3736609285130644 -2687,ATAAGAAGGGCTGCTGGCTCAATAGGGACA,MED12,67.8,1476.0,0.54004329,0,AZD_200nM,0.4834589156174415 -2688,ATAAGAAGGGCTGCTGGCTCAATAGGGACA,MED12,67.8,1476.0,0.600649351,0,PLX_2uM,0.4834589156174415 -2689,ATAGGAAGGGTCACCATGATGAATGGGATA,NF1,87.32,2479.0,0.283967391,0,PLX_2uM,0.4112933172649087 -2690,GGTAGAAGGGTGGGTGCTCTGGTAAGGCTG,MED12,90.68,1974.0,0.147186147,0,AZD_200nM,0.27183360420759334 -2691,GGTAGAAGGGTGGGTGCTCTGGTAAGGCTG,MED12,90.68,1974.0,0.079004329,0,PLX_2uM,0.27183360420759334 -2692,TCAAGAAGTACAGGAGGAGACTCAGGGCAG,CD33,23.63,86.0,0.545454545,0,nodrug,0.6690179546966416 -2693,GGAAGAAGTACTGCGTGTACTGCCTGGCCG,TADA2B,2.86,12.0,0.515789474,0,AZD_200nM,0.5605542308810607 -2694,AGTGGAAGTAGCGGCGATAGACCGCGGGGT,CD15,90.75,481.0,0.586080586,0,nodrug,0.5016762999171872 -2695,GCTTGAAGTAGCTCAGGCTGCTCAGGGCGG,CD13,72.39,700.0,0.7989010990000001,0,nodrug,0.5834811103794317 -2696,CCCTGAAGTATTCATTATAGTCAAGGGCAT,HPRT1,88.99,194.0,0.640625,0,6TG_2ug/mL,0.5772446950321162 -2697,TTGGGAAGTCGTCCACGTGGATGAAGGCGC,CD15,86.23,457.0,0.227106227,0,nodrug,0.4885239991902015 -2698,CTAGGAAGTCTGTGCTCAGTACTGGGGCGA,CD45,79.73,901.0,0.7617328520000001,0,nodrug,0.6367117984975629 -2699,TCTGGAAGTGGGGTGCTGGGACCTGGGCAG,CD13,26.16,253.0,0.045054945,0,nodrug,0.47971760161161237 -2700,CGTCGAAGTTTGAGGAGCAGGTGAGGGTCT,CD45,57.96,655.0,0.646209386,0,nodrug,0.607931828032052 -2701,CATGGAATATTCACTCAGCATCAGTGGCCT,MED12,40.7,886.0,0.6038961039999999,0,AZD_200nM,0.6503394875210593 -2702,CATGGAATATTCACTCAGCATCAGTGGCCT,MED12,40.7,886.0,0.7012987009999999,0,PLX_2uM,0.6503394875210593 -2703,CGGAGAATCCGAGATATGAGCCGCGGGCGC,H2-K,18.43,68.0,0.650887574,0,nodrug,0.6724072719080035 -2704,GAAAGAATCCTGTTGACTATATCCAGGTAA,CUL3,44.53,342.0,0.688311688,0,PLX_2uM,0.5940828421794714 -2705,GTAGGAATCGGGTTTCAGCGTGTTGGGGAG,CD13,8.17,79.0,0.198901099,0,nodrug,0.3710743533803815 -2706,TGCTGAATGAACTGAGTGTAGTTGAGGCTG,MED12,41.48,903.0,0.704545455,0,AZD_200nM,0.6782170730408934 -2707,TGCTGAATGAACTGAGTGTAGTTGAGGCTG,MED12,41.48,903.0,0.727272727,0,PLX_2uM,0.6782170730408934 -2708,GAGAGAATGACCTGTCCCGGTAACTGGAAC,NF1,76.86,2182.0,0.300271739,0,PLX_2uM,0.3081376258666158 -2709,GGTGGAATGACCTGTGGCTGAACGAGGGCT,CD13,42.4,410.0,0.554945055,0,nodrug,0.6506888583868287 -2710,CTTGGAATGATCATCAAACAGCTATGGTGA,CUL3,14.97,115.0,0.7337662340000001,0,PLX_2uM,0.6078577273393895 -2711,TGCTGAATGATGTGTACCGCGTGATGGCAG,CD13,45.81,443.0,0.721978022,0,nodrug,0.6873722087582597 -2712,AGTTGAATGGGGAGGAGCTGATCCAGGACA,H2-K,66.67,246.0,0.5502958579999999,0,nodrug,0.5444660592583364 -2713,GGTGGAATTCTACAATGGCAGCTGGGGTGG,CD5,36.44,180.0,0.573221757,0,nodrug,0.5718574262621331 -2714,TGGGGAATTTGCAGAAAGACCTCATGGTGC,CD13,44.88,434.0,0.5,0,nodrug,0.6391404966807732 -2715,AGCTGACAACCAGGAGAAGATCGGGGGTGT,CD33,48.35,176.0,0.8441558440000001,1,nodrug,0.6935521358214924 -2716,ATCTGACAACGCGTGAGAATGGCCAGGAGG,TADA1,19.4,65.0,0.7798165140000001,0,AZD_200nM,0.5752336089748005 -2717,CTACGACAAGAACTCCCCAGTTCATGGTTA,CD33,15.38,56.0,0.640692641,0,nodrug,0.4158761715065021 -2718,CACAGACAAGCTGGTCAAGTGTGGCGGCAT,THY1,80.86,131.0,0.9032258059999999,1,nodrug,0.6166518980496863 -2719,TAGAGACAATAAAGAGGGTGTTGTTGGCAG,NF1,67.07,1904.0,0.335597826,0,PLX_2uM,0.422895715984954 -2720,GTAGGACAATCAGATGCTATATCAAGGAAA,NF1,52.17,1481.0,0.983695652,1,PLX_2uM,0.5356771090686397 -2721,AGAAGACAATTCAGTAGTTTCCAAGGGGGT,CD43,19.75,78.0,0.920289855,1,nodrug,0.5588738527730756 -2722,TCTGGACACAGAAGTCTTTGTCACAGGTAA,CD45,2.04,23.0,0.41155234700000004,0,nodrug,0.5991257756929032 -2723,TCTTGACACATCTGTCCGGGACAGAGGCAG,CD5,43.72,216.0,0.451882845,0,nodrug,0.6328165800314063 -2724,GGGAGACACTCACGGGTTATTATTGGGGTT,CD13,81.18,785.0,0.071428571,0,nodrug,0.24332154541547504 -2725,CAATGACACTCAGGCTGCTGTTCTTGGCTC,CD28,3.21,7.0,0.810810811,1,nodrug,0.30660120803487795 -2726,TAGGGACACTTCATAGTATTTATAAGGTTT,CD45,24.69,279.0,0.158844765,0,nodrug,0.2867119681078848 -2727,CGGGGACAGGCAGTTGAAGTTCGCTGGTCT,MED12,20.12,438.0,0.39826839799999997,0,AZD_200nM,0.5328052008487354 -2728,CGGGGACAGGCAGTTGAAGTTCGCTGGTCT,MED12,20.12,438.0,0.36038961,0,PLX_2uM,0.5328052008487354 -2729,GAGTGACAGGGACCTTATGGGCACTGGGAA,CD13,69.39,671.0,0.6835164840000001,0,nodrug,0.5136084520713737 -2730,GTTGGACAGGGCTGTCAGGTCCTTGGGGTG,CD13,25.03,242.0,0.304395604,0,nodrug,0.21152234383943833 -2731,TGGTGACAGGGGGACCACTGGTCTTGGAGC,CD43,46.08,182.0,0.014492753999999998,0,nodrug,0.406008129456424 -2732,ACCTGACAGGTCAGGTTGGTGCCGTGGTCC,CD33,56.87,207.0,0.612554113,0,nodrug,0.5531738080731595 -2733,CTGGGACAGGTGTGGTCTGTCACGCGGTTG,TADA2B,31.43,132.0,0.8684210529999999,1,AZD_200nM,0.6402681935283421 -2734,TGCAGACATGTCTAGCATCTCGCAAGGTAG,MED12,73.59,1602.0,0.7857142859999999,0,AZD_200nM,0.6371494045649164 -2735,TGCAGACATGTCTAGCATCTCGCAAGGTAG,MED12,73.59,1602.0,0.741341991,0,PLX_2uM,0.6371494045649164 -2736,CAGGGACATGTGTTAAAGGCTGCTGGGGAA,MED12,66.47,1447.0,0.5963203460000001,0,AZD_200nM,0.5637400910829801 -2737,CAGGGACATGTGTTAAAGGCTGCTGGGGAA,MED12,66.47,1447.0,0.628787879,0,PLX_2uM,0.5637400910829801 -2738,GCAAGACCAAGCCTGTGCTCAGGTCGGATA,MED12,65.14,1418.0,0.7175324679999999,0,AZD_200nM,0.6897871291409304 -2739,GCAAGACCAAGCCTGTGCTCAGGTCGGATA,MED12,65.14,1418.0,0.7294372290000001,0,PLX_2uM,0.6897871291409304 -2740,TACGGACCAATGTTAAGGATCTGGTGGGTC,NF1,32.41,920.0,0.58423913,0,PLX_2uM,0.6060518362499032 -2741,GACAGACCACACCTGTCCCAGCGGAGGCCC,TADA2B,33.1,139.0,0.621052632,0,AZD_200nM,0.6207423169494097 -2742,TAAAGACCACCTCCAGAAGCGGCAAGGAAT,TADA2B,91.43,384.0,0.452631579,0,AZD_200nM,0.5191166912484678 -2743,CTAAGACCACTGTTATTCTTACGCTGGATT,CUL3,5.99,46.0,0.675324675,0,PLX_2uM,0.5680931989525007 -2744,AGGTGACCAGCCTGACAGCCTGCCTGGTGA,THY1,17.28,28.0,0.790322581,0,nodrug,0.4867180637346691 -2745,CCCCGACCAGGCGGCTCTGAACCTTGGGCT,CD5,55.47,274.0,0.460251046,0,nodrug,0.4205788247037127 -2746,CGGGGACCAGGGGCTCCAAAGGCAAGGTCC,MED12,28.71,625.0,0.475108225,0,AZD_200nM,0.522893292905461 -2747,CGGGGACCAGGGGCTCCAAAGGCAAGGTCC,MED12,28.71,625.0,0.561688312,0,PLX_2uM,0.522893292905461 -2748,GCTGGACCAGTGTGTATCTGCCACAGGTTT,NF1,54.77,1555.0,0.502717391,0,PLX_2uM,0.5924873041044493 -2749,AGTGGACCATGCGCCAGTCTTCCTTGGAGC,MED12,62.47,1360.0,0.185064935,0,AZD_200nM,0.45275163010277975 -2750,AGTGGACCATGCGCCAGTCTTCCTTGGAGC,MED12,62.47,1360.0,0.17640692600000002,0,PLX_2uM,0.45275163010277975 -2751,CAGAGACCCAGTAGCTGTGGTGACAGGGGG,CD43,47.59,188.0,0.31884058,0,nodrug,0.450075314707308 -2752,CTACGACCCCAGTGTTCACAAGCGGGGATT,NF2,26.72,159.0,0.717488789,0,PLX_2uM,0.7342413177545807 -2753,CAAGGACCCCCACTCACCTGATTTTGGGAG,CD13,35.26,341.0,0.063736264,0,nodrug,0.13129937543356882 -2754,TGGCGACCCGCAGCCCTGGCGTCGTGGTGA,HPRT1,3.67,8.0,0.890625,1,6TG_2ug/mL,0.5660636624415292 -2755,GCTGGACCCTGCAGATGGGCTTCCCGGTCA,CD13,56.77,549.0,0.037362637000000004,0,nodrug,0.31165115108530156 -2756,TGATGACCGGGAAGCCCATCTGCAGGGTCC,CD13,56.46,546.0,0.93956044,1,nodrug,0.5967766966729512 -2757,TCGCGACCGGTGGGCGTGCTGCTGTGGTGG,CD15,36.42,193.0,0.63003663,0,nodrug,0.5136342743988054 -2758,ATGTGACCGTGGACGTGTTCGGCCGGGGCG,CD15,73.02,387.0,0.553113553,0,nodrug,0.391191779847443 -2759,TCGAGACCTAAAATCATTAACATCTGGCAA,CUL3,24.61,189.0,0.415584416,0,PLX_2uM,0.46700008959733824 -2760,TGGCGACCTCCAGCCCCAGGCCCCCGGGCC,CD15,54.15,287.0,0.293040293,0,nodrug,0.32286754204595247 -2761,TAAGGACCTTGATATAGGGCTGGTTGGAGA,THY1,51.85,84.0,0.258064516,0,nodrug,0.5408288566486836 -2762,AGGGGACCTTGCCTTTGGAGCCCCTGGTCC,MED12,28.85,628.0,0.6785714290000001,0,AZD_200nM,0.45425074858025244 -2763,AGGGGACCTTGCCTTTGGAGCCCCTGGTCC,MED12,28.85,628.0,0.6785714290000001,0,PLX_2uM,0.45425074858025244 -2764,TGGCGACCTTTGTGAGCGAGCTGGAGGCGG,TADA1,2.39,8.0,0.678899083,0,AZD_200nM,0.5654971014063925 -2765,CGTAGACGCCAGGAGGAGGGATAATGGTTC,CD33,30.77,112.0,0.428571429,0,nodrug,0.4026375659729919 -2766,AACGGACGCCTGCCTGGACGCCCTGGGCAC,MED12,93.57,2037.0,0.097402597,0,AZD_200nM,0.19034380036570916 -2767,AACGGACGCCTGCCTGGACGCCCTGGGCAC,MED12,93.57,2037.0,0.033549784,0,PLX_2uM,0.19034380036570916 -2768,GAGCGACGCTGATGGCTGGGTTCATGGTGC,THY1,1.23,2.0,0.112903226,0,nodrug,0.3049559267630195 -2769,GGCGGACGGGGTGGTGGAGGCCACGGGGGA,CD13,4.86,47.0,0.389010989,0,nodrug,0.38881568271882233 -2770,TCGCGACGGGGTTGGCGACGCCCAGGGCAG,CD15,34.15,181.0,0.468864469,0,nodrug,0.506118210100592 -2771,ACAGGACGGTATGGGTCCACACGAGGGCCA,MED12,85.16,1854.0,0.582251082,0,AZD_200nM,0.6070617538714248 -2772,ACAGGACGGTATGGGTCCACACGAGGGCCA,MED12,85.16,1854.0,0.591991342,0,PLX_2uM,0.6070617538714248 -2773,CGGGGACGGTGGGAAGAGCTATGTCGGGAG,CD5,63.97,316.0,0.49790795,0,nodrug,0.5281027989298915 -2774,TGATGACGTCAGTGGCCTCCTTGCAGGTGA,CD13,11.79,114.0,0.593406593,0,nodrug,0.40344755636200785 -2775,CAAAGACGTCCGAGTCCGCCCGGTAGGAGA,CD15,60.57,321.0,0.7289377290000001,0,nodrug,0.6187310115025115 -2776,CCTTGACTCTCAGGATAGTGCAGCAGGATG,NF1,23.6,670.0,0.330163043,0,PLX_2uM,0.5066325125919358 -2777,CATCGACTGCTGGACAATGAGGATGGGGAA,MED12,61.32,1335.0,0.393939394,0,AZD_200nM,0.5334171964614983 -2778,CATCGACTGCTGGACAATGAGGATGGGGAA,MED12,61.32,1335.0,0.428571429,0,PLX_2uM,0.5334171964614983 -2779,TAGTGACTGCTTATGAGCATGGGCTGGACA,TADA1,48.66,163.0,0.458715596,0,AZD_200nM,0.5941951179356916 -2780,ATCAGACTGGCAAGGATTGAGCTGCGGTGT,MED12,54.43,1185.0,0.533549784,0,AZD_200nM,0.6780350486957073 -2781,ATCAGACTGGCAAGGATTGAGCTGCGGTGT,MED12,54.43,1185.0,0.6461038960000001,0,PLX_2uM,0.6780350486957073 -2782,TGCAGACTGTCTGGGCTCGCCACCTGGACC,CD43,4.05,16.0,0.434782609,0,nodrug,0.43603318291861115 -2783,AGCAGACTTATGGAGACATGGAAGTGGAGA,CD45,80.8,913.0,0.664259928,0,nodrug,0.5521391811831934 -2784,TAGAGACTTCCTTCATACAGGAGTTGGAGG,CD45,69.2,782.0,0.570397112,0,nodrug,0.49517531391650216 -2785,GAAAGACTTTGGGAAACACAACACTGGCCT,NF1,93.27,2648.0,0.724184783,0,PLX_2uM,0.39057795785326543 -2786,ATAAGAGAACACTTTACCTGTCCTTGGGAG,NF1,33.43,949.0,0.5,0,PLX_2uM,0.4440589917497199 -2787,CAAGGAGAAGATTGAAGGGACCCTTGGGGT,MED12,33.12,721.0,0.492424242,0,AZD_200nM,0.4642460689534583 -2788,CAAGGAGAAGATTGAAGGGACCCTTGGGGT,MED12,33.12,721.0,0.579004329,0,PLX_2uM,0.4642460689534583 -2789,TGAGGAGAAGGAAAGCCGATTCTTTGGAAG,NF2,52.94,315.0,0.044843049,0,PLX_2uM,0.31581322102479664 -2790,AGATGAGAAGGGTTCCATCGCCTCTGGCTC,MED12,25.45,554.0,0.810606061,1,AZD_200nM,0.5565555347422795 -2791,AGATGAGAAGGGTTCCATCGCCTCTGGCTC,MED12,25.45,554.0,0.7673160170000001,0,PLX_2uM,0.5565555347422795 -2792,GCCTGAGAAGGTTGCCCCATGTCCAGGCTC,NF1,88.94,2525.0,0.385869565,0,PLX_2uM,0.2990560077647795 -2793,AAGAGAGACAGTACATGCCCTGGGAGGCCG,CD13,71.87,695.0,0.9714285709999999,1,nodrug,0.698299318221001 -2794,AGAAGAGACATGTTGACCCTTTCATGGGTG,MED12,8.41,183.0,0.461038961,0,AZD_200nM,0.4746261832218748 -2795,AGAAGAGACATGTTGACCCTTTCATGGGTG,MED12,8.41,183.0,0.61038961,0,PLX_2uM,0.4746261832218748 -2796,TGTGGAGACCAGGCCTGCAGGGGATGGAAC,H2-K,69.92,258.0,0.183431953,0,nodrug,0.48279640548451036 -2797,GCCAGAGACCATCTCCTCACACTCTGGAAC,CD13,79.42,768.0,0.43076923100000003,0,nodrug,0.534594851125546 -2798,CAGAGAGACTCAGGGCCTACCTGGAGGGCA,H2-K,49.05,181.0,0.9644970409999999,1,nodrug,0.7062571329502304 -2799,AGCTGAGAGAAAATAAAACCCCAGAGGCAG,NF1,4.93,140.0,0.741847826,0,PLX_2uM,0.7416224948782744 -2800,TCTTGAGAGAGCTGAAGCTCATGCGGGAAG,NF2,1.51,9.0,0.560538117,0,PLX_2uM,0.6261543796264635 -2801,AAGGGAGAGGGAGGCCGGGGACCAGGGGCT,MED12,28.94,630.0,0.656926407,0,AZD_200nM,0.5169334230599918 -2802,AAGGGAGAGGGAGGCCGGGGACCAGGGGCT,MED12,28.94,630.0,0.677489177,0,PLX_2uM,0.5169334230599918 -2803,TGTGGAGAGTTCCAGTGTGGCCCGTGGCAC,CD43,55.19,218.0,0.65942029,0,nodrug,0.6497357801597079 -2804,CTCAGAGATACGTGGTGGCTTGTAAGGAAC,CCDC101,97.95,287.0,0.12080536900000001,0,AZD_200nM,0.32662772366617016 -2805,ATGAGAGATATTCCAACGTGCAAGTGGCTG,NF1,78.34,2224.0,0.233695652,0,PLX_2uM,0.46775973293167467 -2806,TTTCGAGATCAAGTTGTACGTTATGGGTGT,CUL3,20.05,154.0,0.22727272699999998,0,PLX_2uM,0.40723863425662654 -2807,CACGGAGATCCTTGGCAGAAGACCTGGTTC,CD5,21.05,104.0,0.832635983,1,nodrug,0.5480670088797441 -2808,GTATGAGATGGACAGCGAGTTCGAGGGGGA,CD13,18.82,182.0,0.554945055,0,nodrug,0.6047421774976351 -2809,GACAGAGATGGATCCCAGCAGACAGGGTTG,CD45,88.58,1001.0,0.974729242,1,nodrug,0.6100853214166735 -2810,CCCCGAGATGGGGGTCTACCTGGTGGGCCA,CD13,40.64,393.0,0.6593406589999999,0,nodrug,0.5933144293405994 -2811,CACAGAGATGTCCAGCGGGGGCAGCGGGGT,TADA2B,36.19,152.0,0.15263157900000002,0,AZD_200nM,0.404773377690516 -2812,CAATGAGATTAGATGAAACGATGCTGGTCA,NF1,3.8,108.0,0.887228261,1,PLX_2uM,0.6072263652108703 -2813,GATCGAGCAGCAGATCAAGGAGCGGGGACA,MED12,19.75,430.0,0.69047619,0,AZD_200nM,0.7289150610066506 -2814,GATCGAGCAGCAGATCAAGGAGCGGGGACA,MED12,19.75,430.0,0.711038961,0,PLX_2uM,0.7289150610066506 -2815,CTGAGAGCAGGAGAGCGACGCTGATGGCTG,THY1,3.7,6.0,0.35483871,0,nodrug,0.6039884608773175 -2816,TTAAGAGCATAGACAGTATGTGTAGGGATG,TADA1,87.46,293.0,0.688073394,0,AZD_200nM,0.5211114995461054 -2817,ATATGAGCATCTCAAACACAACGATGGATG,CUL3,62.89,483.0,0.980519481,1,PLX_2uM,0.6906278498496756 -2818,TTGAGAGCATTGTGGAATACCTTCAGGTCC,NF1,61.22,1738.0,0.793478261,0,PLX_2uM,0.49879809969992095 -2819,CCTCGAGCCACTCGCCGGTCCACTCGGACT,MED12,78.55,1710.0,0.303030303,0,AZD_200nM,0.43150404454241126 -2820,CCTCGAGCCACTCGCCGGTCCACTCGGACT,MED12,78.55,1710.0,0.340909091,0,PLX_2uM,0.43150404454241126 -2821,TGGTGAGCCACTGGGACGAGCGCCAGGCCC,CD15,69.25,367.0,0.102564103,0,nodrug,0.40617705991670355 -2822,CGGGGAGCCCCGGTACATGGAAGTCGGCTA,H2-K,12.2,45.0,0.781065089,0,nodrug,0.6571413961858813 -2823,GCCTGAGCCCCTCACCCTGAGATGGGGTAA,H2-K,79.67,294.0,0.266272189,0,nodrug,0.5848806558340038 -2824,CAGAGAGCCCGCTGATGAGCGTCTCGGCAT,TADA2B,43.57,183.0,0.942105263,1,AZD_200nM,0.6386432692054641 -2825,GCCTGAGCCTCTCCGTAGGACGCGCGGTCG,CD15,42.83,227.0,0.937728938,1,nodrug,0.6632905369043893 -2826,CGGTGAGCGCCTGGCCGCCCTCCTGGGCCG,CD5,52.23,258.0,0.129707113,0,nodrug,0.37240106137203316 -2827,TTGTGAGCTAGCTTGAGAGCATTGTGGAAT,NF1,61.36,1742.0,0.8777173909999999,1,PLX_2uM,0.8232081630232485 -2828,TTTTGAGCTGAGACATTCCAAGGTAGGTAA,CD45,82.83,936.0,0.635379061,0,nodrug,0.5399102808204581 -2829,GGCCGAGCTGCTCACCACGACGCCAGGGCT,HPRT1,3.67,8.0,0.453125,0,6TG_2ug/mL,0.38449597051560086 -2830,GCACGAGCTGCTCCTTCTGGAACAAGGCCT,CCDC101,77.82,228.0,0.7046979870000001,0,AZD_200nM,0.6032140965680094 -2831,GTGTGAGCTGTCGACCACTGTGTTTGGCTA,CUL3,70.7,543.0,0.577922078,0,PLX_2uM,0.47500294091620304 -2832,GTTAGAGCTTGTTGTCACAGTGGTGGGGGG,CD43,40.76,161.0,0.072463768,0,nodrug,0.48636279572169827 -2833,CTGTGAGGAAGCAGATATCCGGTGTGGGGT,NF1,25.36,720.0,0.407608696,0,PLX_2uM,0.6855412568385313 -2834,CAAGGAGGAAGTGCTCCTGGGAAAGGGTCC,CD13,58.12,562.0,0.6219780220000001,0,nodrug,0.5123282574371067 -2835,CCAGGAGGAGCATGGCCCACTCCGTGGTCT,MED12,71.47,1556.0,0.173160173,0,AZD_200nM,0.5867820725076621 -2836,CCAGGAGGAGCATGGCCCACTCCGTGGTCT,MED12,71.47,1556.0,0.158008658,0,PLX_2uM,0.5867820725076621 -2837,GCAGGAGGAGCGGATTCCTACTGTAGGCTT,MED12,54.98,1197.0,0.939393939,1,AZD_200nM,0.7543545968811916 -2838,GCAGGAGGAGCGGATTCCTACTGTAGGCTT,MED12,54.98,1197.0,0.9090909090000001,1,PLX_2uM,0.7543545968811916 -2839,CCAGGAGGATCCCCAGGATGCCCAGGGACT,CD13,1.24,12.0,0.520879121,0,nodrug,0.5964810517872547 -2840,TCTGGAGGATGATCTGGGAGCAAAAGGCCA,CD45,50.35,569.0,0.776173285,0,nodrug,0.4656015674708026 -2841,GAAGGAGGATGCGGCAGGTAAGCCGGGCCC,MED12,53.79,1171.0,0.8506493509999999,1,AZD_200nM,0.5307594192646494 -2842,GAAGGAGGATGCGGCAGGTAAGCCGGGCCC,MED12,53.79,1171.0,0.901515152,1,PLX_2uM,0.5307594192646494 -2843,TCAGGAGGCAACGGTGCTGGAATTGGGTTC,NF2,81.85,487.0,0.605381166,0,PLX_2uM,0.39713269565326115 -2844,TTCAGAGGCACAATAGGAGCAAGCTGGTCT,MED12,36.43,793.0,0.287878788,0,AZD_200nM,0.6375038955598133 -2845,TTCAGAGGCACAATAGGAGCAAGCTGGTCT,MED12,36.43,793.0,0.202380952,0,PLX_2uM,0.6375038955598133 -2846,TCCGGAGGCACTGTCACACCATAAGGGCCG,MED12,83.23,1812.0,0.37012987,0,AZD_200nM,0.5090098655124558 -2847,TCCGGAGGCACTGTCACACCATAAGGGCCG,MED12,83.23,1812.0,0.44696969700000005,0,PLX_2uM,0.5090098655124558 -2848,CTGAGAGGCAGTAGGCTCAGGTACAGGGGT,CD43,24.81,98.0,0.18115942,0,nodrug,0.47704267686515195 -2849,GTACGAGGCCAGGGAGGAGGCACTTGGGAA,CD15,87.74,465.0,0.24175824199999998,0,nodrug,0.4016731280553056 -2850,CCTGGAGGCTGCTTTACCCGCTGTGGGGGC,CCDC101,86.69,254.0,0.9060402679999999,1,AZD_200nM,0.44947262818993866 -2851,AGCAGAGGGCAAAGTGGATGTCTATGGTTA,CD45,62.57,707.0,0.48014440399999997,0,nodrug,0.47283539778406314 -2852,CCACGAGGGCCAAAACCACCACCAAGGCAA,CD43,65.57,259.0,0.5072463770000001,0,nodrug,0.6912785485431545 -2853,GTGAGAGGGGGCCTCCGCTGGGACAGGTGT,TADA2B,32.86,138.0,0.131578947,0,AZD_200nM,0.4087591637357525 -2854,AGGTGAGGGTCTTCAGGAACCCCATGGTCT,CD45,57.43,649.0,0.855595668,1,nodrug,0.6618631700793508 -2855,AGTCGAGGGTGTGCTGCTAGTTGGGGGCTG,MED12,15.53,338.0,0.87987013,1,AZD_200nM,0.7286065785666999 -2856,AGTCGAGGGTGTGCTGCTAGTTGGGGGCTG,MED12,15.53,338.0,0.902597403,1,PLX_2uM,0.7286065785666999 -2857,TGATGAGGTCAACTTGTATTCAGCAGGTAC,NF1,82.14,2332.0,0.38179347799999996,0,PLX_2uM,0.485056599914792 -2858,CCTTGAGGTGCACCACCAGGTACTCGGTGG,CD13,16.65,161.0,0.47692307700000003,0,nodrug,0.5734804171059538 -2859,GGAGGAGGTGGCAGTGGTGGTCGGAGGCAG,MED12,57.92,1261.0,0.588744589,0,AZD_200nM,0.6164420475719968 -2860,GGAGGAGGTGGCAGTGGTGGTCGGAGGCAG,MED12,57.92,1261.0,0.666666667,0,PLX_2uM,0.6164420475719968 -2861,CACAGAGGTGGCGGAAACAGGACATGGCAA,NF1,24.94,708.0,0.985054348,1,PLX_2uM,0.6899269569300108 -2862,GACAGAGGTGTCTGATGGTGCAAGTGGAGG,CD45,63.98,723.0,0.815884477,1,nodrug,0.6641219226884105 -2863,AGGAGAGTAAATCCACTTACCTATAGGAAG,NF1,87.57,2486.0,0.538043478,0,PLX_2uM,0.411920760159734 -2864,ACAAGAGTAGGATTGGTAGAAGGGTGGGTG,MED12,90.86,1978.0,0.09848484800000001,0,AZD_200nM,0.3763263562680111 -2865,ACAAGAGTAGGATTGGTAGAAGGGTGGGTG,MED12,90.86,1978.0,0.147186147,0,PLX_2uM,0.3763263562680111 -2866,GCAGGAGTCAGTGACGGTACAGGAGGGTTT,CD33,8.79,32.0,0.935064935,1,nodrug,0.732627915500807 -2867,CATGGAGTCATGTATTCCAAACAAAGGTGT,NF1,68.51,1945.0,0.899456522,1,PLX_2uM,0.6656442848561133 -2868,AATAGAGTCCAGAGGAAGTATTTATGGCAA,NF1,83.13,2360.0,0.260869565,0,PLX_2uM,0.2838742199957326 -2869,CAGGGAGTCCATGCATCTCACTCGAGGGCC,CD43,50.13,198.0,0.471014493,0,nodrug,0.6035601849784329 -2870,TGGGGAGTCCGGGAAGCACCAACGTGGGCA,TADA2B,23.1,97.0,0.773684211,0,AZD_200nM,0.6975282945555491 -2871,CTTCGAGTCGCCCTCGCACTCCCCGGGGCT,CD15,57.17,303.0,0.666666667,0,nodrug,0.42154099466219286 -2872,ACCTGAGTCTGCATCTAAACCCCATGGATA,CD45,21.77,246.0,0.9638989170000001,1,nodrug,0.6814814436823717 -2873,ATGAGAGTGCAAGTATACATGTTGTGGGAG,MED12,28.11,612.0,0.455627706,0,AZD_200nM,0.5763979770925032 -2874,ATGAGAGTGCAAGTATACATGTTGTGGGAG,MED12,28.11,612.0,0.37770562799999996,0,PLX_2uM,0.5763979770925032 -2875,CCTCGAGTGGGAAGCATCATTGTGTGGGAA,TADA1,42.39,142.0,0.862385321,1,AZD_200nM,0.6097425807127473 -2876,TCCAGAGTGTGAGGAGATGGTCTCTGGCCT,CD13,79.83,772.0,0.040659341,0,nodrug,0.31985998359150386 -2877,TGGCGAGTTCGTCCACTGTTACAGTGGCCA,NF1,98.91,2808.0,0.078804348,0,PLX_2uM,0.24557545344150328 -2878,GGGGGAGTTGGCAGATGACCTGGCGGGCTT,CD13,19.65,190.0,0.48681318700000004,0,nodrug,0.5649190172954577 -2879,GGTGGATAAGCGTGATGTTGAACTCGGCCT,CD13,24.1,233.0,0.7065934070000001,0,nodrug,0.6588136827631672 -2880,AGCAGATAATCCGTATTCTTAGCAAGGTAC,NF1,80.03,2272.0,0.72826087,0,PLX_2uM,0.4957613982086178 -2881,TATGGATACATATCCCATTCATCATGGTGA,NF1,87.32,2479.0,0.520380435,0,PLX_2uM,0.49042975352733625 -2882,TCCAGATACATTTATTTACTTTGCAGGTAA,NF1,95.24,2704.0,0.043478261,0,PLX_2uM,0.13441594888528166 -2883,TGTGGATAGCAAATGAGCTGCATGAGGCGC,MED12,60.68,1321.0,0.274891775,0,AZD_200nM,0.733083067390109 -2884,TGTGGATAGCAAATGAGCTGCATGAGGCGC,MED12,60.68,1321.0,0.262987013,0,PLX_2uM,0.733083067390109 -2885,GGGCGATAGCGTTGCAGTAGACGGTGGACC,CD13,82.32,796.0,0.779120879,0,nodrug,0.66969500239483 -2886,CCTTGATATAGGGCTGGTTGGAGAGGGTGA,THY1,50.62,82.0,1.0,1,nodrug,0.6052245674403515 -2887,TTTGGATATATCCTGGATTATTTCTGGACA,NF1,9.86,280.0,0.122282609,0,PLX_2uM,0.1559215653474817 -2888,CTCAGATATCCAGGTGATGCTAAGTGGCTC,CD5,7.29,36.0,0.966527197,1,nodrug,0.7668852816531222 -2889,CAAAGATATCTTCAGCAGTGGGGAAGGCTT,MED12,37.85,824.0,0.35173160200000003,0,AZD_200nM,0.5626730183714505 -2890,CAAAGATATCTTCAGCAGTGGGGAAGGCTT,MED12,37.85,824.0,0.356060606,0,PLX_2uM,0.5626730183714505 -2891,CCGAGATATGAGCCGCGGGCGCGGTGGATG,H2-K,19.24,71.0,1.0,1,nodrug,0.6266195834602823 -2892,ACGGGATCACCAAGATGGAAGAGTCGGCAG,TADA2B,72.38,304.0,0.4,0,AZD_200nM,0.6371205112750961 -2893,CATGGATCAGGGCGCGGTAGAAGCAGGTAG,CCDC101,83.28,244.0,0.9664429529999999,1,AZD_200nM,0.4836647064236714 -2894,CTCAGATCATCACCAAGTACTTATGGGAGC,MED12,8.91,194.0,0.20021645,0,AZD_200nM,0.43254311046255073 -2895,CTCAGATCATCACCAAGTACTTATGGGAGC,MED12,8.91,194.0,0.191558442,0,PLX_2uM,0.43254311046255073 -2896,GCTTGATCATGAGCTGCAGCTCCAAGGAAG,MED12,62.56,1362.0,0.926406926,1,AZD_200nM,0.6471454906204219 -2897,GCTTGATCATGAGCTGCAGCTCCAAGGAAG,MED12,62.56,1362.0,0.957792208,1,PLX_2uM,0.6471454906204219 -2898,TCCCGATCCACAGGGGCAGGGTCATGGCCG,CCDC101,44.03,129.0,0.154362416,0,AZD_200nM,0.4957444574519801 -2899,AGCTGATCCAGGACATGGAGCTTGTGGAGA,H2-K,68.02,251.0,0.307692308,0,nodrug,0.5614170330864475 -2900,CCCTGATCCATGCGCCCCCACAGCGGGTAA,CCDC101,86.69,254.0,0.530201342,0,AZD_200nM,0.4631070757934057 -2901,TGACGATCCTCACGGTGAACGTCTTGGGTT,NF2,3.53,21.0,0.968609865,1,PLX_2uM,0.48935675064416606 -2902,TGGGGATCCTTTGCCACAAATTGCTGGGCT,TADA1,37.01,124.0,0.027522936,0,AZD_200nM,0.31020008084110745 -2903,TCGTGATCTGCTCCAGAACATTCCGGGAGA,MED12,39.09,851.0,0.35822510799999996,0,AZD_200nM,0.459851334639659 -2904,TCGTGATCTGCTCCAGAACATTCCGGGAGA,MED12,39.09,851.0,0.35822510799999996,0,PLX_2uM,0.459851334639659 -2905,TTTGGATCTTGGCACAATGATAACAGGGTG,NF1,94.01,2669.0,0.324728261,0,PLX_2uM,0.17893409956857673 -2906,TGCAGATGAAAGAAGAAGCAACAATGGCCA,NF2,61.85,368.0,0.40358744399999996,0,PLX_2uM,0.632744904571618 -2907,AGCAGATGAAAGCCCAGGCCAGGGAGGAGA,NF2,54.79,326.0,0.627802691,0,PLX_2uM,0.6340026984012526 -2908,TGAAGATGAAAGTGCGCAAACAGGTGGCAG,NF1,39.7,1127.0,0.542119565,0,PLX_2uM,0.655969452983744 -2909,GCGGGATGACACGGCGCCGGCTCAGGGTGT,CCDC101,70.31,206.0,0.724832215,0,AZD_200nM,0.485834718375453 -2910,ACGTGATGACATCTCGGGTCTGCTTGGGCA,MED12,75.52,1644.0,0.777056277,0,AZD_200nM,0.42692806283800566 -2911,ACGTGATGACATCTCGGGTCTGCTTGGGCA,MED12,75.52,1644.0,0.744588745,0,PLX_2uM,0.42692806283800566 -2912,TGCTGATGACCCTGCTGCAGCAGTCGGCCA,CCDC101,42.66,125.0,0.523489933,0,AZD_200nM,0.5805474561865753 -2913,ATCAGATGACTCCGGAAATGTGGGAGGAGA,NF2,30.92,184.0,0.713004484,0,PLX_2uM,0.6654638525749903 -2914,TAGGGATGACTTCCCTGTGCACCTGGGATT,TADA1,85.37,286.0,0.889908257,1,AZD_200nM,0.5166353571514577 -2915,TACAGATGAGGTTCCCCAGGCCCAGGGGCC,CD5,39.47,195.0,0.493723849,0,nodrug,0.5777885301088238 -2916,TGATGATGATCTCCAGGAGGAGCATGGCCC,MED12,71.66,1560.0,0.8939393940000001,1,AZD_200nM,0.5884771493226395 -2917,TGATGATGATCTCCAGGAGGAGCATGGCCC,MED12,71.66,1560.0,0.823593074,1,PLX_2uM,0.5884771493226395 -2918,TGGAGATGATCTCTCAACTTTAACTGGAAA,HPRT1,57.34,125.0,0.03125,0,6TG_2ug/mL,0.3184744750033264 -2919,AGGGGATGCGGAACTGAAAGGTTCAGGCTT,MED12,56.82,1237.0,0.229437229,0,AZD_200nM,0.39278165731082826 -2920,AGGGGATGCGGAACTGAAAGGTTCAGGCTT,MED12,56.82,1237.0,0.22835497800000001,0,PLX_2uM,0.39278165731082826 -2921,CCAAGATGCGGATCCGGGCCTTTCCGGTGA,CUL3,2.73,21.0,0.194805195,0,PLX_2uM,0.2605379959443646 -2922,GGTGGATGCTGACAAAACCTCCCCCGGGTT,CD5,68.02,336.0,0.43514644399999997,0,nodrug,0.5108914518403669 -2923,GGCAGATGCTGCGCAGCACGTACTTGGCAT,MED12,58.84,1281.0,0.335497835,0,AZD_200nM,0.5214717392586423 -2924,GGCAGATGCTGCGCAGCACGTACTTGGCAT,MED12,58.84,1281.0,0.445887446,0,PLX_2uM,0.5214717392586423 -2925,GGATGATGCTTGCCACAGTGCCTGGGGCCA,CD5,76.32,377.0,0.761506276,0,nodrug,0.49835719617207325 -2926,AGGCGATGGAACCCTTCTCATCTGCGGCTT,MED12,25.17,548.0,0.912337662,1,AZD_200nM,0.7074084176535946 -2927,AGGCGATGGAACCCTTCTCATCTGCGGCTT,MED12,25.17,548.0,0.942640693,1,PLX_2uM,0.7074084176535946 -2928,ATGAGATGGACAGCGAGTTCGAGGGGGAGT,CD13,18.92,183.0,0.9670329670000001,1,nodrug,0.7351997196573831 -2929,GGAAGATGGATCTGAAGTTGGTGTTGGAGG,CUL3,75.0,576.0,0.344155844,0,PLX_2uM,0.5272533908698178 -2930,CAGGGATGGCCCCACAGAGGGGTGGGGGCC,CCDC101,48.81,143.0,0.013422818999999999,0,AZD_200nM,0.33983686340560815 -2931,TGCAGATGGGCTTCCCGGTCATCACGGTGG,CD13,57.08,552.0,0.7615384620000001,0,nodrug,0.6206846940111226 -2932,TAAGGATGGGGCCCGTCACGTTCAGGGCAT,CD13,32.99,319.0,0.361538462,0,nodrug,0.5239458341116244 -2933,CTGTGATGGGTCACATGGGCCTTTGGGGAA,H2-K,56.1,207.0,0.177514793,0,nodrug,0.3038528859907404 -2934,GGTAGATGGTGTTCTGGTAGGCAAAGGTGT,CD13,52.53,508.0,0.36923076899999996,0,nodrug,0.6201129731583357 -2935,GGGCGATGTAATCGCAGCCGTCGTAGGCGT,H2-K,37.94,140.0,0.662721893,0,nodrug,0.5660766569004855 -2936,CAAAGATGTCCAAAATGCTAAGTGTGGAAA,CD45,6.28,71.0,0.36823104700000003,0,nodrug,0.6845473293213717 -2937,CAGAGATGTCCAGCGGGGGCAGCGGGGTGG,TADA2B,35.95,151.0,0.7,0,AZD_200nM,0.599718790822052 -2938,TCGAGATGTGATGAAGGAGATGGGAGGCCA,HPRT1,26.15,57.0,0.4375,0,6TG_2ug/mL,0.6605478438507292 -2939,GCGTGATGTTGAACTCGGCCTTCATGGCCG,CD13,23.78,230.0,0.446153846,0,nodrug,0.38117988795296215 -2940,CGGCGATTATGCCCTGAACGTGACGGGCCC,CD13,33.09,320.0,0.712087912,0,nodrug,0.5483126429592847 -2941,GCCGGATTGCCACCTCTACATCATGGGGCA,MED12,10.34,225.0,0.433982684,0,AZD_200nM,0.5673458457776654 -2942,GCCGGATTGCCACCTCTACATCATGGGGCA,MED12,10.34,225.0,0.48593073600000003,0,PLX_2uM,0.5673458457776654 -2943,CAGAGATTGCTCAGGAAGCAATGGAGGTAA,NF1,19.23,546.0,0.855978261,1,PLX_2uM,0.6648675398176491 -2944,CAGAGATTGCTGCATAGTAGGCACAGGTCA,MED12,7.58,165.0,0.7521645020000001,0,AZD_200nM,0.6617464992062954 -2945,CAGAGATTGCTGCATAGTAGGCACAGGTCA,MED12,7.58,165.0,0.784632035,0,PLX_2uM,0.6617464992062954 -2946,ACAGGATTGGCTGCAGTGACAGGAGGGTCA,CD43,31.65,125.0,0.927536232,1,nodrug,0.6354046347982656 -2947,TTTGGATTGGGACCTAGCAAGGATGGGCAT,MED12,22.6,492.0,0.843073593,1,AZD_200nM,0.60070885203216 -2948,TTTGGATTGGGACCTAGCAAGGATGGGCAT,MED12,22.6,492.0,0.8593073590000001,1,PLX_2uM,0.60070885203216 -2949,ATTGGATTTAACAAATTTGGATCTTGGCAC,NF1,94.19,2674.0,0.144021739,0,PLX_2uM,0.2418856171244112 -2950,CTATGATTTCAGTGATGTCTTCAGAGGGAA,NF1,31.1,883.0,0.445652174,0,PLX_2uM,0.5903881260463828 -2951,CTTTGATTTGGTGTGCCGGACTCTGGGGCT,NF2,8.91,53.0,0.910313901,1,PLX_2uM,0.41314628824244937 -2952,TCAAGCAAAAATATGGGGAAGCCTTGGGCA,NF1,70.41,1999.0,0.510869565,0,PLX_2uM,0.35658915058215424 -2953,CGCAGCAAAACCTGGAAAACCCAAGGGAAA,TADA1,28.66,96.0,0.513761468,0,AZD_200nM,0.6760993934161128 -2954,AGGAGCAAACACTGCCGAGCGATGAGGATG,MED12,52.18,1136.0,0.9826839829999999,1,AZD_200nM,0.708048559070345 -2955,AGGAGCAAACACTGCCGAGCGATGAGGATG,MED12,52.18,1136.0,0.958874459,1,PLX_2uM,0.708048559070345 -2956,TTGAGCAAACTCAATACCTGCCCAAGGCTT,NF1,70.48,2001.0,0.441576087,0,PLX_2uM,0.5940531161406483 -2957,CTTAGCAAAGATATCTTCAGCAGTGGGGAA,MED12,37.94,826.0,0.327922078,0,AZD_200nM,0.5512045005104913 -2958,CTTAGCAAAGATATCTTCAGCAGTGGGGAA,MED12,37.94,826.0,0.332251082,0,PLX_2uM,0.5512045005104913 -2959,CAAGGCAAAGATCCAGCACCATCTAGGAGA,TADA1,23.28,78.0,0.41284403700000005,0,AZD_200nM,0.4840751568212755 -2960,GATGGCAACACTTCTTGCATACCTGGGTCC,NF1,54.42,1545.0,0.612771739,0,PLX_2uM,0.6493806920377061 -2961,ATTGGCAACATGTTAGCTTTGAAGTGGATC,NF1,46.5,1320.0,0.44429347799999996,0,PLX_2uM,0.6429621121870406 -2962,CCTGGCAACCTATAGCCCACCCATGGGTCC,NF1,30.5,866.0,0.191576087,0,PLX_2uM,0.6347234446603505 -2963,TACTGCAACGCTATCGCCCAGGGCGGGGAG,CD13,83.14,804.0,0.813186813,1,nodrug,0.4245187501838899 -2964,ACTTGCAACTTCCCAGCATTCCCCAGGTCA,NF1,98.31,2791.0,0.126358696,0,PLX_2uM,0.24134958991257083 -2965,AAAAGCAACTTTGATGCAGCACGCAGGTAA,NF1,51.99,1476.0,0.786684783,0,PLX_2uM,0.7055701713605668 -2966,AGCAGCAAGACCAAGCCTGTGCTCAGGTCG,MED12,65.09,1417.0,0.58008658,0,AZD_200nM,0.5869528245470742 -2967,AGCAGCAAGACCAAGCCTGTGCTCAGGTCG,MED12,65.09,1417.0,0.54978355,0,PLX_2uM,0.5869528245470742 -2968,TATTGCAAGTCACTGAGTGCAGAATGGCTA,MED12,50.11,1091.0,0.9783549779999999,1,AZD_200nM,0.6408784186964634 -2969,TATTGCAAGTCACTGAGTGCAGAATGGCTA,MED12,50.11,1091.0,0.995670996,1,PLX_2uM,0.6408784186964634 -2970,GGCTGCAAGTGCAGGAGTCAGTGACGGTAC,CD33,7.97,29.0,0.898268398,1,nodrug,0.7277121215592891 -2971,AGAGGCAAGTGGTATGACATGCCAAGGGCA,MED12,39.6,862.0,0.305194805,0,AZD_200nM,0.5623497487427973 -2972,AGAGGCAAGTGGTATGACATGCCAAGGGCA,MED12,39.6,862.0,0.335497835,0,PLX_2uM,0.5623497487427973 -2973,CGGGGCAATAGGCAAGTGGTCAAGTGGTGA,MED12,18.14,395.0,0.92965368,1,AZD_200nM,0.712040422668423 -2974,CGGGGCAATAGGCAAGTGGTCAAGTGGTGA,MED12,18.14,395.0,0.9329004329999999,1,PLX_2uM,0.712040422668423 -2975,TTAAGCAATTCATCCTCTCCAGGGCGGATC,MED12,12.26,267.0,0.877705628,1,AZD_200nM,0.7676995276373308 -2976,TTAAGCAATTCATCCTCTCCAGGGCGGATC,MED12,12.26,267.0,0.865800866,1,PLX_2uM,0.7676995276373308 -2977,ACATGCACAAAGAAAAAATGCTCCGGGCCA,TADA2B,67.62,284.0,0.784210526,0,AZD_200nM,0.5774792766602775 -2978,TTCTGCACAATGAGAACTCCGACAGGGGTG,NF2,95.29,567.0,0.07623318400000001,0,PLX_2uM,0.3804892225116725 -2979,TGCAGCACAATGTTCTAGTAGCGGAGGTGA,CUL3,94.27,724.0,0.454545455,0,PLX_2uM,0.4985322257635104 -2980,AGTGGCACACACTTCGAAGTTGAGGGGGGA,NF1,47.9,1360.0,0.75,0,PLX_2uM,0.6386189116448091 -2981,GTTTGCACACTGCAGAGGCCTGCTGGGCAT,CD5,15.18,75.0,0.8410041840000001,1,nodrug,0.49506475020146784 -2982,TTTAGCACAGCAAAAGCCCCTCCTTGGCTG,TADA1,98.51,330.0,0.04587156,0,AZD_200nM,0.2469152558880276 -2983,ACCAGCACAGGGAGCAGTAAAAGCTGGAGG,TADA1,70.15,235.0,0.366972477,0,AZD_200nM,0.5431706059017981 -2984,GAGGGCACATAAGCAGGTCACTAAAGGGAG,MED12,15.94,347.0,0.463203463,0,AZD_200nM,0.5054947421420158 -2985,GAGGGCACATAAGCAGGTCACTAAAGGGAG,MED12,15.94,347.0,0.454545455,0,PLX_2uM,0.5054947421420158 -2986,CGCAGCACCCAGCAGACCACGGAGTGGGCC,MED12,71.47,1556.0,0.648268398,0,AZD_200nM,0.6898298573022814 -2987,CGCAGCACCCAGCAGACCACGGAGTGGGCC,MED12,71.47,1556.0,0.617965368,0,PLX_2uM,0.6898298573022814 -2988,TGGGGCACCGCAGGTTGCTGCTGCCGGTAC,MED12,87.28,1900.0,0.262987013,0,AZD_200nM,0.39907678745899705 -2989,TGGGGCACCGCAGGTTGCTGCTGCCGGTAC,MED12,87.28,1900.0,0.232683983,0,PLX_2uM,0.39907678745899705 -2990,CCTTGCACCTTCTCCTCCTCTTTGGGGCAT,CD43,2.28,9.0,0.833333333,1,nodrug,0.5245723102327149 -2991,GAACGCACGAGGGATGAGTTGGAGAGGAGG,NF2,60.0,357.0,0.421524664,0,PLX_2uM,0.6600978192219312 -2992,AGCAGCACGCCCACCGGTCGCGACGGGGTT,CD15,35.09,186.0,0.366300366,0,nodrug,0.4183827027018546 -2993,GAGAGCACGTGCTTCCTCTTCTCTCGGGTC,THY1,35.8,58.0,0.032258065,0,nodrug,0.4288688412559881 -2994,GGCAGCACTCCAGGGTAAGTTGGTCGGGTG,MED12,85.99,1872.0,0.543290043,0,AZD_200nM,0.5008495204726157 -2995,GGCAGCACTCCAGGGTAAGTTGGTCGGGTG,MED12,85.99,1872.0,0.43722943700000005,0,PLX_2uM,0.5008495204726157 -2996,GGCTGCACTCCTGCTGGCATGCTCCGGAGA,TADA1,78.51,263.0,0.669724771,0,AZD_200nM,0.40498343863580055 -2997,TGATGCACTGCCTTGACAAATCAACGGAAG,CUL3,33.2,255.0,0.811688312,1,PLX_2uM,0.6834039731590797 -2998,GAAGGCACTGTTACCCTCTGGCATGGGCAG,MED12,18.7,407.0,0.858225108,1,AZD_200nM,0.5946320864407462 -2999,GAAGGCACTGTTACCCTCTGGCATGGGCAG,MED12,18.7,407.0,0.935064935,1,PLX_2uM,0.5946320864407462 -3000,AAAGGCACTTGAGAGTTGCTTAAAAGGACC,NF1,80.27,2279.0,0.06385869599999999,0,PLX_2uM,0.1949085552053538 -3001,TTCTGCACTTGGCTTGCGGATCCGTGGCGA,NF1,99.19,2816.0,0.04076087,0,PLX_2uM,0.15726413799286448 -3002,AGTAGCAGAAACTGATTATGAAATGGGTGA,NF1,90.81,2578.0,0.054347825999999995,0,PLX_2uM,0.2480615311858751 -3003,TGGAGCAGAAGGTGCTGGAAGCCGAGGTGC,NF2,72.77,433.0,0.23766816100000002,0,PLX_2uM,0.554208944430315 -3004,GATGGCAGACAGCAGCAGGACTACTGGCTG,CD13,62.05,600.0,0.6879120879999999,0,nodrug,0.5092318020653321 -3005,AGATGCAGACTCAGGTTTAGATACAGGCTC,CD45,21.06,238.0,0.393501805,0,nodrug,0.49699754959943027 -3006,TCCAGCAGAGAAGCAATTCTGGCCTGGCAA,NF1,30.26,859.0,0.164402174,0,PLX_2uM,0.5172378003968883 -3007,TGAGGCAGAGACAAAGAGCGAGCAGGGCTG,CD33,74.45,271.0,0.573593074,0,nodrug,0.5152099912484687 -3008,GTCAGCAGAGACAGGGTCATCTTCTGGAAG,MED12,64.26,1399.0,0.261904762,0,AZD_200nM,0.36544958934709243 -3009,GTCAGCAGAGACAGGGTCATCTTCTGGAAG,MED12,64.26,1399.0,0.28246753199999997,0,PLX_2uM,0.36544958934709243 -3010,TTCAGCAGAGCGAACAAAAGTCCTAGGGCA,NF1,62.42,1772.0,0.7853260870000001,0,PLX_2uM,0.53236746244089 -3011,CCTTGCAGAGCGCCAAGTCCCGAGTGGCCT,NF2,98.82,588.0,0.11659192800000001,0,PLX_2uM,0.3614950619761874 -3012,AGCAGCAGATCAAGGAGCGGGGACAGGCAG,MED12,19.84,432.0,0.523809524,0,AZD_200nM,0.49117649256107254 -3013,AGCAGCAGATCAAGGAGCGGGGACAGGCAG,MED12,19.84,432.0,0.525974026,0,PLX_2uM,0.49117649256107254 -3014,TTCAGCAGATGAAAGCCCAGGCCAGGGAGG,NF2,54.62,325.0,0.5650224220000001,0,PLX_2uM,0.5530481277400936 -3015,TATTGCAGATGAAGTGGAAAGGGAAGGACC,NF2,7.23,43.0,0.44394618799999996,0,PLX_2uM,0.6844585238669058 -3016,AGCAGCAGCAACAGACAGCAGCTTTGGTCC,MED12,98.9,2153.0,0.008658009,0,AZD_200nM,0.12344534451596378 -3017,AGCAGCAGCAACAGACAGCAGCTTTGGTCC,MED12,98.9,2153.0,0.022727273,0,PLX_2uM,0.12344534451596378 -3018,ACCAGCAGCAACAGCAGCAACAGGCGGCTC,MED12,97.52,2123.0,0.034632035,0,AZD_200nM,0.21330586635970972 -3019,ACCAGCAGCAACAGCAGCAACAGGCGGCTC,MED12,97.52,2123.0,0.11255411300000001,0,PLX_2uM,0.21330586635970972 -3020,AGATGCAGCACAATGTTCTAGTAGCGGAGG,CUL3,94.14,723.0,0.694805195,0,PLX_2uM,0.5143073089522768 -3021,GCCAGCAGCACCACCAGGAGTACAAGGGTC,CD5,78.34,387.0,0.740585774,0,nodrug,0.5412964164007447 -3022,AGCAGCAGCAGCAGCAGATCCTGCGGGTAA,MED12,95.91,2088.0,0.09199134199999999,0,AZD_200nM,0.1347665591206236 -3023,AGCAGCAGCAGCAGCAGATCCTGCGGGTAA,MED12,95.91,2088.0,0.17099567100000002,0,PLX_2uM,0.1347665591206236 -3024,CTGAGCAGCAGGCTGCACTCCTGCTGGCAT,TADA1,77.61,260.0,0.5596330279999999,0,AZD_200nM,0.4125895481802988 -3025,CACTGCAGCCAATCCTGTGACAGACGGACC,CD43,33.67,133.0,1.0,1,nodrug,0.6295437335685645 -3026,CACTGCAGCCAATCCTGTGACAGACGGACC,CD43,35.95,142.0,1.0,1,nodrug,0.6295437335685645 -3027,CACTGCAGCCAATCCTGTGACAGACGGACC,CD43,33.67,133.0,1.0,1,nodrug,0.6295437335685645 -3028,CACTGCAGCCAATCCTGTGACAGACGGACC,CD43,35.95,142.0,1.0,1,nodrug,0.6295437335685645 -3029,CACTGCAGCCAATCCTGTGACAGACGGACC,CD43,33.67,133.0,1.0,1,nodrug,0.6295437335685645 -3030,CACTGCAGCCAATCCTGTGACAGACGGACC,CD43,35.95,142.0,1.0,1,nodrug,0.6295437335685645 -3031,CACTGCAGCCAATCCTGTGACAGACGGACC,CD43,33.67,133.0,1.0,1,nodrug,0.6295437335685645 -3032,CACTGCAGCCAATCCTGTGACAGACGGACC,CD43,35.95,142.0,1.0,1,nodrug,0.6295437335685645 -3033,CCTTGCAGCCACCTATCCAACTGTCGGCCA,NF1,88.41,2510.0,0.80298913,1,PLX_2uM,0.5245661638940845 -3034,TCATGCAGCCATGAGTGCAACCAGCGGTTG,MED12,34.54,752.0,0.95021645,1,AZD_200nM,0.7225822473069189 -3035,TCATGCAGCCATGAGTGCAACCAGCGGTTG,MED12,34.54,752.0,0.904761905,1,PLX_2uM,0.7225822473069189 -3036,TCAGGCAGCCCCTGATGGTACACATGGCAT,H2-K,76.42,282.0,0.7159763309999999,0,nodrug,0.6175696755557847 -3037,TGGGGCAGCGGGATGACACGGCGCCGGCTC,CCDC101,70.99,208.0,0.43624161100000003,0,AZD_200nM,0.47855819739475036 -3038,AAGCGCAGCGGGCTCACCTCGGCCAGGCAG,TADA2B,3.33,14.0,0.936842105,1,AZD_200nM,0.521816427855088 -3039,CTTTGCAGCGTACCGCCCCTGACAGGGACC,CD28,101.0,300.54649889999996,0.513513514,0,nodrug,0.38535963942231644 -3040,GGGGGCAGCTGCCGCCGCTGCCCTGGGCGT,CD15,33.77,179.0,0.52014652,0,nodrug,0.3844026392994393 -3041,TCTTGCAGCTGGATCCCCACAACTAGGCTT,CD45,19.56,221.0,0.945848375,1,nodrug,0.5762197507025453 -3042,GGTGGCAGGAAACGTGGCATGTCTCGGAGG,NF1,39.98,1135.0,0.256793478,0,PLX_2uM,0.5422847238550649 -3043,CTGAGCAGGAAATGCAGCGCATCAAGGCCA,NF2,69.24,412.0,0.744394619,0,PLX_2uM,0.5666347208329233 -3044,TGCCGCAGGACAGCCACGATGCACAGGCAC,MED12,42.49,925.0,0.9632034629999999,1,AZD_200nM,0.61445706984278 -3045,TGCCGCAGGACAGCCACGATGCACAGGCAC,MED12,42.49,925.0,0.914502165,1,PLX_2uM,0.61445706984278 -3046,CCACGCAGGACCACCCTGTGCCCCTGGCTG,CD13,13.86,134.0,0.47032967,0,nodrug,0.5118719341212951 -3047,TGGAGCAGGAGGGGCCCGAGTATTGGGAGC,H2-K,21.68,80.0,0.24260355,0,nodrug,0.3731135432416409 -3048,CAGTGCAGGAGGGTAAGGAGATGTGGGAGT,NF1,97.22,2760.0,0.269021739,0,PLX_2uM,0.19862942496778713 -3049,AAGTGCAGGAGTCAGTGACGGTACAGGAGG,CD33,8.52,31.0,0.8636363640000001,1,nodrug,0.5751260282879008 -3050,ATCGGCAGGATCATCAAAGGGAGAGGGAGG,MED12,29.21,636.0,0.432900433,0,AZD_200nM,0.5941340660382558 -3051,ATCGGCAGGATCATCAAAGGGAGAGGGAGG,MED12,29.21,636.0,0.424242424,0,PLX_2uM,0.5941340660382558 -3052,AGAAGCAGGCATCCAATGGTGTCTTGGTAT,CD13,30.82,298.0,0.34725274700000003,0,nodrug,0.5425112317332338 -3053,AGGAGCAGGCGGCTCCTCATCTTCTGGGGG,MED12,80.29,1748.0,0.037878788,0,AZD_200nM,0.14368969763881337 -3054,AGGAGCAGGCGGCTCCTCATCTTCTGGGGG,MED12,80.29,1748.0,0.021645022000000003,0,PLX_2uM,0.14368969763881337 -3055,TGAGGCAGGGATGGCCCCACAGAGGGGTGG,CCDC101,49.49,145.0,0.456375839,0,AZD_200nM,0.6802949565306989 -3056,TCTGGCAGGGGCGTAGGGCTGGTAAGGCTT,CD28,94.04,205.0,0.418918919,0,nodrug,0.39065419647539384 -3057,CCGAGCAGGGTCCTCAGGTCCACTCGGAAA,H2-K,26.29,97.0,0.8402366859999999,1,nodrug,0.5917379101001946 -3058,AGAAGCAGGTAGTCTGGGGATACAGGGCCA,CCDC101,81.23,238.0,0.8657718120000001,1,AZD_200nM,0.5109701719675689 -3059,CATTGCAGGTCCGTGCAAAGTTGCGGGAGA,MED12,19.34,421.0,0.028138528,0,AZD_200nM,0.43258522330172683 -3060,CATTGCAGGTCCGTGCAAAGTTGCGGGAGA,MED12,19.34,421.0,0.003246753,0,PLX_2uM,0.43258522330172683 -3061,CCTTGCAGGTGAAACGGACGGTGCTGGAGC,CD13,11.17,108.0,0.140659341,0,nodrug,0.49052005610910226 -3062,TCCTGCAGGTGGTCCCACAGGTTCAGGTAG,CD13,53.36,516.0,0.17252747300000001,0,nodrug,0.33963729378271496 -3063,TCTTGCAGGTGTCCCGAGGGCAGAAGGTGA,THY1,12.35,20.0,0.693548387,0,nodrug,0.5734555699473541 -3064,GGAAGCAGTAGTTTCACTTCTAGCTGGTCT,NF1,38.04,1080.0,0.323369565,0,PLX_2uM,0.5117412272239336 -3065,GCCGGCAGTCAGGGGGCGGCCTCGGGGCGC,CD15,38.87,206.0,0.531135531,0,nodrug,0.4311255461566261 -3066,TACAGCAGTGCTTCCAGAAAACAACGGCCC,CD5,51.42,254.0,0.9163179920000001,1,nodrug,0.772319584388443 -3067,ACGAGCAGTGGATCCTGGCCGAGGTGGTCA,CCDC101,61.09,179.0,0.8187919459999999,1,AZD_200nM,0.6884136753484076 -3068,ATGTGCAGTTCATCTTCGACCTCATGGAAT,MED12,40.38,879.0,0.064935065,0,AZD_200nM,0.38138622869080807 -3069,ATGTGCAGTTCATCTTCGACCTCATGGAAT,MED12,40.38,879.0,0.007575758,0,PLX_2uM,0.38138622869080807 -3070,TCGAGCAGTTCGGCTTCGGAAACTGGGTGA,TADA2B,21.19,89.0,0.989473684,1,AZD_200nM,0.5581638699195461 -3071,CGCTGCAGTTCTCGGATCTTGGCCCGGAGC,TADA2B,68.1,286.0,0.921052632,1,AZD_200nM,0.4638425886044799 -3072,TTAGGCAGTTCTGACCCGAGTTTACGGTAG,NF1,65.83,1869.0,0.8736413040000001,1,PLX_2uM,0.4769916325583493 -3073,CGCGGCATAAACGGGAGAAGAGGAAGGAGA,TADA2B,75.71,318.0,0.5315789470000001,0,AZD_200nM,0.5630193082961829 -3074,GTCTGCATCCGCTCATGGGTCTTCTGGATG,CCDC101,13.65,40.0,0.033557047,0,AZD_200nM,0.22254942885025858 -3075,CCCAGCATCGTACCTGGCTCACAGTGGAGT,CD45,13.89,157.0,0.8339350179999999,1,nodrug,0.7660055448734204 -3076,CTGAGCATCGTAGACGCCAGGAGGAGGGAT,CD33,30.22,110.0,0.887445887,1,nodrug,0.5390891936050705 -3077,TGCAGCATCTACATCTATCTCTAAAGGAAC,CD43,38.48,152.0,0.637681159,0,nodrug,0.5204973269030286 -3078,GTGGGCATCTGTGGTGGTGCCTCTTGGGAA,H2-K,73.44,271.0,0.023668638999999998,0,nodrug,0.29392708912930754 -3079,GGAAGCATGTTGGACAGGGCTGTCAGGTCC,CD13,25.23,244.0,0.264835165,0,nodrug,0.4605483666021635 -3080,TTCTGCATTGGTAAGCGCACAGGACGGTAT,MED12,85.44,1860.0,0.9664502159999999,1,AZD_200nM,0.6622845782816557 -3081,TTCTGCATTGGTAAGCGCACAGGACGGTAT,MED12,85.44,1860.0,0.994588745,1,PLX_2uM,0.6622845782816557 -3082,TAATGCCAAACAGCAAGTAAAATTTGGGTA,NF1,76.12,2161.0,0.077445652,0,PLX_2uM,0.1805922488545653 -3083,TCAGGCCAACACTAAGAAGTTGCTTGGTTA,NF1,89.36,2537.0,0.495923913,0,PLX_2uM,0.3825000570974255 -3084,CGTCGCCAACCCCGTCGCGACCGGTGGGCG,CD15,35.47,188.0,0.802197802,1,nodrug,0.4488888451191324 -3085,TTTGGCCAAGAAGTGAAAGGTGACTGGTTC,NF2,15.63,93.0,0.771300448,0,PLX_2uM,0.48358673201426655 -3086,CTCAGCCACAGAGATGTCCAGCGGGGGCAG,TADA2B,36.67,154.0,0.994736842,1,AZD_200nM,0.6651852934519507 -3087,ATCTGCCACAGGTTTGTGCTCTGGAGGACC,NF1,54.6,1550.0,0.203804348,0,PLX_2uM,0.535894584176203 -3088,AAAAGCCACCACCTAGAATCGAAAGGGGCT,NF1,50.58,1436.0,0.57201087,0,PLX_2uM,0.5501493265452391 -3089,TCTGGCCACGTAGTCTCCTGAGGCAGGGAT,CCDC101,51.54,151.0,0.5704697989999999,0,AZD_200nM,0.4642263707514482 -3090,CACAGCCACTCACCTGCCCACAGCAGGGGC,CD33,2.75,10.0,0.597402597,0,nodrug,0.4640532452384489 -3091,CACTGCCACTGCCCCCAGAAGATGAGGAGC,MED12,80.29,1748.0,0.354978355,0,AZD_200nM,0.5102209330575499 -3092,CACTGCCACTGCCCCCAGAAGATGAGGAGC,MED12,80.29,1748.0,0.295454545,0,PLX_2uM,0.5102209330575499 -3093,GTCGGCCAGACCAGTCCCCGAGCCAGGAAA,NF1,88.69,2518.0,0.45244565200000003,0,PLX_2uM,0.36949801290602396 -3094,CGAAGCCAGCAATCTTGTTGCCCTTGGTAT,MED12,76.34,1662.0,0.284632035,0,AZD_200nM,0.39972168336436936 -3095,CGAAGCCAGCAATCTTGTTGCCCTTGGTAT,MED12,76.34,1662.0,0.274891775,0,PLX_2uM,0.39972168336436936 -3096,GGCCGCCAGCACACAGACGGTCCATGGCAG,CD15,28.68,152.0,0.692307692,0,nodrug,0.5845991161386654 -3097,GAATGCCAGCCCATCAGTTTCTGTGGGGTC,CD43,12.66,50.0,0.036231884,0,nodrug,0.46814614876946875 -3098,AGAAGCCAGGAGCACAGAAGCCTCAGGAGG,NF2,23.03,137.0,0.847533632,1,PLX_2uM,0.6084491371501114 -3099,ACCGGCCAGGGCCTGCAGGAAGTGGGGGCT,MED12,9.74,212.0,0.7987012990000001,0,AZD_200nM,0.5391090704003771 -3100,ACCGGCCAGGGCCTGCAGGAAGTGGGGGCT,MED12,9.74,212.0,0.7835497840000001,0,PLX_2uM,0.5391090704003771 -3101,GGACGCCATCGAGCAGTTCGGCTTCGGAAA,TADA2B,20.48,86.0,0.3,0,AZD_200nM,0.4237968038176351 -3102,GTCTGCCATCTCTGATGGATGTGATGGGCA,CD13,60.91,589.0,0.7494505490000001,0,nodrug,0.4993183050985506 -3103,GGCTGCCATGGACCGTCTGTGTGCTGGCGG,CD15,29.25,155.0,0.501831502,0,nodrug,0.47080264753112344 -3104,GGTCGCCATGTTGGAGACAGTGGATGGAGG,H2-K,81.57,301.0,0.372781065,0,nodrug,0.507389051364128 -3105,TGTAGCCATTTAAAGAACAAATTTGGGGAG,MED12,45.43,989.0,0.19047619,0,AZD_200nM,0.27712573954577335 -3106,TGTAGCCATTTAAAGAACAAATTTGGGGAG,MED12,45.43,989.0,0.12662337699999998,0,PLX_2uM,0.27712573954577335 -3107,TCTTGCCCAACTATAACACATTCATGGAGT,NF1,26.0,738.0,0.5978260870000001,0,PLX_2uM,0.40271981448127725 -3108,TCCAGCCCAAGGTTCAGAGCCGCCTGGTCG,CD5,56.07,277.0,0.945606695,1,nodrug,0.5515445571820504 -3109,AGAAGCCCAGGGCCCAGCACCTCAGGGTGA,H2-K,60.43,223.0,0.656804734,0,nodrug,0.5981841560004298 -3110,TGGTGCCCATGCTTATTGCCTTGGTGGTGG,CD43,65.32,258.0,0.210144928,0,nodrug,0.43775206090757796 -3111,TGGTGCCCCACACAGACGTGCATAAGGGCA,MED12,48.64,1059.0,0.350649351,0,AZD_200nM,0.46869394037063805 -3112,TGGTGCCCCACACAGACGTGCATAAGGGCA,MED12,48.64,1059.0,0.31709956699999997,0,PLX_2uM,0.46869394037063805 -3113,GGAGGCCCCAGCCGCGGCCGCTTCAGGGGC,MED12,0.69,15.0,0.022727273,0,AZD_200nM,0.0839731126105004 -3114,GGAGGCCCCAGCCGCGGCCGCTTCAGGGGC,MED12,0.69,15.0,0.027056277000000004,0,PLX_2uM,0.0839731126105004 -3115,GGATGCCCCAGGGCGGGGGCCAGTCGGGGG,CD15,46.98,249.0,0.08058608099999999,0,nodrug,0.28786262413571634 -3116,CGCTGCCCCAGTGGAAGGCCAACCCGGAGA,CCDC101,74.74,219.0,0.18120805399999998,0,AZD_200nM,0.4774471434548567 -3117,CAGAGCCCCCCAAAACTGACAAACCGGGGG,MED12,81.35,1771.0,0.13311688300000002,0,AZD_200nM,0.3498404663300881 -3118,CAGAGCCCCCCAAAACTGACAAACCGGGGG,MED12,81.35,1771.0,0.149350649,0,PLX_2uM,0.3498404663300881 -3119,TATAGCCCCCCTTGAGCACACAGAGGGCTA,HPRT1,30.28,66.0,0.96875,1,6TG_2ug/mL,0.656482421410056 -3120,ACTGGCCCCCGCCCTGGGGCATCCAGGCGC,CD15,48.11,255.0,0.278388278,0,nodrug,0.4306530758432636 -3121,CGCTGCCCCCGCTGGACATCTCTGTGGCTG,TADA2B,37.38,157.0,0.678947368,0,AZD_200nM,0.706336914962039 -3122,GCCCGCCCCGGCCGAACACGTCCACGGTCA,CD15,72.45,384.0,0.9890109890000001,1,nodrug,0.577745314348852 -3123,ACCGGCCCCTGAAGCGGCCGCGGCTGGGGC,MED12,0.83,18.0,0.191558442,0,AZD_200nM,0.1869110188777039 -3124,ACCGGCCCCTGAAGCGGCCGCGGCTGGGGC,MED12,0.83,18.0,0.117965368,0,PLX_2uM,0.1869110188777039 -3125,GGGGGCCCCTTCACGAGGTCGCGGTGGTGG,CD15,45.28,240.0,0.9926739929999999,1,nodrug,0.5827489167784637 -3126,GCTGGCCCGGGGGCCTGGGGCTGGAGGTCG,CD15,53.58,284.0,0.197802198,0,nodrug,0.37242287102294047 -3127,GGCTGCCCGGGTGAAGGCCGTGGATGGGGA,CCDC101,57.68,169.0,0.288590604,0,AZD_200nM,0.40267949298796724 -3128,TAGAGCCCTACAGTCCCTCGCCTGTGGTAA,CUL3,82.68,635.0,0.9480519479999999,1,PLX_2uM,0.5879161190442002 -3129,TGTAGCCCTCTGTGTGCTCAAGGGGGGCTA,HPRT1,31.65,69.0,1.0,1,6TG_2ug/mL,0.6421437198418021 -3130,CCAGGCCCTGCTTGAATACGTCCTCGGACA,CD13,51.09,494.0,0.752747253,0,nodrug,0.6489070495321361 -3131,GCGTGCCCTGGTTTGCAATGGTTAAGGTGA,NF1,63.47,1802.0,0.883152174,1,PLX_2uM,0.5332377595044963 -3132,CAATGCCCTTATGCACGTCTGTGTGGGGCA,MED12,48.78,1062.0,0.862554113,1,AZD_200nM,0.5694452121371962 -3133,CAATGCCCTTATGCACGTCTGTGTGGGGCA,MED12,48.78,1062.0,0.8636363640000001,1,PLX_2uM,0.5694452121371962 -3134,CCAGGCCCTTGCCAATTCGATGGGAGGCCC,CD5,47.98,237.0,0.22175732199999998,0,nodrug,0.5907341657562009 -3135,TAGGGCCCTTGCCCCATGATGTAGAGGTGG,MED12,10.38,226.0,0.125541126,0,AZD_200nM,0.5930097276372993 -3136,TAGGGCCCTTGCCCCATGATGTAGAGGTGG,MED12,10.38,226.0,0.107142857,0,PLX_2uM,0.5930097276372993 -3137,TTTGGCCGAATCTTGGTGTGTTGGGGGATA,NF1,64.85,1841.0,0.827445652,1,PLX_2uM,0.6251594111205689 -3138,TGGCGCCGAGGCCGGGGGCTGCCATGGACC,CD15,28.3,150.0,0.56043956,0,nodrug,0.356087305846589 -3139,GTTCGCCGCCATTGAGAACCTTCCAGGCTT,TADA2B,82.14,345.0,0.21578947399999998,0,AZD_200nM,0.29748954117269827 -3140,CGCCGCCGCCGTCGGCGAGCCCCACGGTGC,CD15,24.72,131.0,0.263736264,0,nodrug,0.45564149168694373 -3141,CCCAGCCGCGGCCGCTTCAGGGGCCGGTGT,MED12,0.6,13.0,0.481601732,0,AZD_200nM,0.3553828436697483 -3142,CCCAGCCGCGGCCGCTTCAGGGGCCGGTGT,MED12,0.6,13.0,0.42748917700000005,0,PLX_2uM,0.3553828436697483 -3143,TATCGCCGCTACTTCCACTGGCGCCGGAGC,CD15,92.26,489.0,0.886446886,1,nodrug,0.4725407793791615 -3144,GCACGCCGCTCACCTTCATGCACCAGGAGT,NF1,63.9,1814.0,0.707880435,0,PLX_2uM,0.5730556933735591 -3145,GGCAGCCGGAAGGACACCAAGATGCGGATC,CUL3,2.08,16.0,0.409090909,0,PLX_2uM,0.6028063161417176 -3146,CAACGCCGGCGCCATGGAGAACTGGGGACT,CD13,36.81,356.0,0.831868132,1,nodrug,0.7529618762432864 -3147,CGGGGCCGGGGCCTCAGGTGTGTGTGGTAG,MED12,79.38,1728.0,0.74025974,0,AZD_200nM,0.5014496064636573 -3148,CGGGGCCGGGGCCTCAGGTGTGTGTGGTAG,MED12,79.38,1728.0,0.7326839829999999,0,PLX_2uM,0.5014496064636573 -3149,TGAAGCCGTCAGCACCACTCTCTTGGGGCT,MED12,78.14,1701.0,0.18398268399999998,0,AZD_200nM,0.342312610540609 -3150,TGAAGCCGTCAGCACCACTCTCTTGGGGCT,MED12,78.14,1701.0,0.164502165,0,PLX_2uM,0.342312610540609 -3151,CTTTGCCGTCCTCCTTTCCCCGTTTGGAGC,TADA2B,78.33,329.0,0.073684211,0,AZD_200nM,0.2419338992898289 -3152,TGGTGCCGTGGTCCTGGGGCCGTGGGGTGA,CD33,55.49,202.0,0.939393939,1,nodrug,0.6299782365101694 -3153,CACCGCCGTGTCCCGGCCCGGCCTCGGGGA,H2-K,10.03,37.0,0.00591716,0,nodrug,0.18653167093959405 -3154,TCTTGCCTAGCCCCGTGTAGGTGAAGGTGT,MED12,47.54,1035.0,0.28354978399999997,0,AZD_200nM,0.5631562383537931 -3155,TCTTGCCTAGCCCCGTGTAGGTGAAGGTGT,MED12,47.54,1035.0,0.323593074,0,PLX_2uM,0.5631562383537931 -3156,CCCAGCCTCATACCAAGACACCATTGGATG,CD13,30.71,297.0,0.654945055,0,nodrug,0.6007697853097996 -3157,GAGTGCCTCATGCATAAGCTGCTTTGGTTT,MED12,70.14,1527.0,0.094155844,0,AZD_200nM,0.3387894634809815 -3158,GAGTGCCTCATGCATAAGCTGCTTTGGTTT,MED12,70.14,1527.0,0.062770563,0,PLX_2uM,0.3387894634809815 -3159,CGGGGCCTCCCATCGAATTGGCAAGGGCCT,CD5,47.37,234.0,0.38493723799999996,0,nodrug,0.5236240481754031 -3160,TGGGGCCTCCCGATGTTTACCCTCAGGACC,MED12,1.19,26.0,0.574675325,0,AZD_200nM,0.5114265036063861 -3161,TGGGGCCTCCCGATGTTTACCCTCAGGACC,MED12,1.19,26.0,0.7142857140000001,0,PLX_2uM,0.5114265036063861 -3162,CTTCGCCTCCTACGTGGAGTACCTGGGTGC,CD13,43.33,419.0,0.428571429,0,nodrug,0.5848438588847821 -3163,TTCCGCCTCCTTGGGGATCCCAGTAGGAAC,CD33,26.65,97.0,0.41991342,0,nodrug,0.6264285110562954 -3164,TGTTGCCTCGGAAGAGAGTCTGCATGGAGT,NF1,44.8,1272.0,0.6861413040000001,0,PLX_2uM,0.6388664095370151 -3165,TGGAGCCTCTCTCCGGAAGGGAAAAGGGAA,NF1,23.28,661.0,0.307065217,0,PLX_2uM,0.3728639647743617 -3166,TGCAGCCTGAAGAAGGAGATGGTGTGGAAT,NF1,38.46,1092.0,0.604619565,0,PLX_2uM,0.6556939120891195 -3167,AGCTGCCTGCAGAACCCAAAGACCTGGTGT,CD45,85.13,962.0,0.768953069,0,nodrug,0.5616395903585168 -3168,TGCAGCCTGCTGCTCAGCATCATCAGGGGG,TADA1,75.22,252.0,0.13761467900000002,0,AZD_200nM,0.26533867448988085 -3169,CGAAGCCTGGAAGGTTCTCAATGGCGGCGA,TADA2B,81.43,342.0,0.463157895,0,AZD_200nM,0.573455464826691 -3170,GTGCGCCTGGATGCCCCAGGGCGGGGGCCA,CD15,47.55,252.0,0.340659341,0,nodrug,0.4027723726782743 -3171,TCAGGCCTGGCCCCGCCACTGTCCAGGAAA,CD15,66.23,351.0,0.443223443,0,nodrug,0.44501072223960514 -3172,CTGCGCCTGGGCACTACTCAACACTGGGTC,MED12,60.27,1312.0,0.636363636,0,AZD_200nM,0.5884748117381365 -3173,CTGCGCCTGGGCACTACTCAACACTGGGTC,MED12,60.27,1312.0,0.633116883,0,PLX_2uM,0.5884748117381365 -3174,GGGGGCCTGGGGCTGGAGGTCGCCAGGGCT,CD15,53.02,281.0,0.32600732600000004,0,nodrug,0.2907375438836579 -3175,AGGGGCCTGTCCTTGGCCTTGTAGAGGATG,CD5,37.85,187.0,0.589958159,0,nodrug,0.5452086874125803 -3176,TTCTGCCTTGTTTCTTTCCTCTCTGGGTCG,CUL3,89.45,687.0,0.032467532,0,PLX_2uM,0.2890623570368254 -3177,CCGTGCCTTTGCTCAGATTCGACATGGTGC,CUL3,0.26,2.0,0.214285714,0,PLX_2uM,0.5352472806762789 -3178,ACCGGCGAAACGGGATCACCAAGATGGAAG,TADA2B,71.67,301.0,0.6,0,AZD_200nM,0.5391864584306854 -3179,AACAGCGACGTGGAAGTCTGTGTCGGGAAT,CD28,31.19,68.0,0.44594594600000004,0,nodrug,0.5561878728046502 -3180,CCTCGCGACTGGTCCAGCCGCCCTCGGCCT,TADA2B,16.19,68.0,0.715789474,0,AZD_200nM,0.5224558184779918 -3181,TAATGCGATATTGAGCAGTGTCCCAGGGAC,NF1,65.27,1853.0,0.764945652,0,PLX_2uM,0.5596520609819691 -3182,TAAAGCGATTGCTAGGCCCGGTATGGGTAA,NF1,58.05,1648.0,0.713315217,0,PLX_2uM,0.600247823883027 -3183,TCTGGCGCAACGCGTTGCTCGCTGGGGCGG,CD15,81.7,433.0,0.168498168,0,nodrug,0.5690784764126777 -3184,TGCAGCGCAGCACCCAGCAGACCACGGAGT,MED12,71.38,1554.0,0.867965368,1,AZD_200nM,0.6478039250585502 -3185,TGCAGCGCAGCACCCAGCAGACCACGGAGT,MED12,71.38,1554.0,0.78030303,0,PLX_2uM,0.6478039250585502 -3186,TCAGGCGCAGCTCCTTCTCCTCCTTGGTGA,TADA2B,59.76,251.0,0.194736842,0,AZD_200nM,0.46492219833993426 -3187,GGCAGCGCATAAAGCGCATTCTCCAGGTAG,MED12,61.92,1348.0,0.06601731599999999,0,AZD_200nM,0.5428116445248351 -3188,GGCAGCGCATAAAGCGCATTCTCCAGGTAG,MED12,61.92,1348.0,0.042207792,0,PLX_2uM,0.5428116445248351 -3189,AAGTGCGCCAGAGATCACAGTGGGAGGCCC,CD5,60.12,297.0,0.31799163199999997,0,nodrug,0.665805177560688 -3190,CTCGGCGCCGGCCGAGAAGCACTCGGGGCA,TADA2B,8.33,35.0,0.426315789,0,AZD_200nM,0.5558028181424468 -3191,GTGTGCGCCTGGATGCCCCAGGGCGGGGGC,CD15,47.55,252.0,0.5567765570000001,0,nodrug,0.39106568514980244 -3192,GACAGCGCCTTCGCCAACAGCTCCAGGCAA,MED12,87.97,1915.0,0.232683983,0,AZD_200nM,0.42337091387930903 -3193,GACAGCGCCTTCGCCAACAGCTCCAGGCAA,MED12,87.97,1915.0,0.241341991,0,PLX_2uM,0.42337091387930903 -3194,GGCGGCGCGGGTGGCGCCGAGGCCGGGGGC,CD15,27.55,146.0,0.04395604400000001,0,nodrug,0.14691277474745482 -3195,GCGGGCGCGGTGGATGGAGCAGGAGGGGCC,H2-K,20.33,75.0,0.970414201,1,nodrug,0.5956315352044823 -3196,ATCTGCGCGTGTTGGACTACGAGGAGGCAG,CD15,51.13,271.0,0.6593406589999999,0,nodrug,0.7697823135978111 -3197,CGGGGCGCTATCGCGCCCCCCGAAGGGCTC,CD15,37.55,199.0,0.194139194,0,nodrug,0.5252374253322647 -3198,CCAGGCGCTCACCGTCATCTGCTCTGGTAA,CD5,54.05,267.0,0.41422594100000004,0,nodrug,0.5430136608362254 -3199,TACAGCGCTCTGCAGAGGAGCCATCGGACC,MED12,44.28,964.0,0.558441558,0,AZD_200nM,0.644623574168375 -3200,TACAGCGCTCTGCAGAGGAGCCATCGGACC,MED12,44.28,964.0,0.522727273,0,PLX_2uM,0.644623574168375 -3201,TAGAGCGCTCTGGTGTATGGCTGGTGGCCC,MED12,65.55,1427.0,0.8755411259999999,1,AZD_200nM,0.7085178759641891 -3202,TAGAGCGCTCTGGTGTATGGCTGGTGGCCC,MED12,65.55,1427.0,0.888528139,1,PLX_2uM,0.7085178759641891 -3203,GAATGCGCTTTATGCGCTGCCGCTGGGGGT,MED12,61.6,1341.0,0.007575758,0,AZD_200nM,0.3653265658135366 -3204,GAATGCGCTTTATGCGCTGCCGCTGGGGGT,MED12,61.6,1341.0,0.032467532,0,PLX_2uM,0.3653265658135366 -3205,GACGGCGGCGGCGGGCGGGCGGCGCGGGTG,CD15,26.42,140.0,0.007326007,0,nodrug,0.22271943911138625 -3206,GGTAGCGGCGGTGGTGGCCGATCTCGGCGC,TADA2B,10.0,42.0,0.905263158,1,AZD_200nM,0.5040223430616589 -3207,CAATGCGGGAATCGGCAGACACGAGGGCCA,CCDC101,1.37,4.0,0.24161073800000002,0,AZD_200nM,0.653363997564365 -3208,TGACGCGGGAGCGGTACGTGTGCTCGGGTA,THY1,45.06,73.0,0.08064516099999999,0,nodrug,0.4625757566342184 -3209,GACGGCGGGCGCTTCACGCTCTGGGGGCCC,TADA2B,14.76,62.0,0.721052632,0,AZD_200nM,0.5955753141065381 -3210,AGTGGCGGGGCCAGGCCTGAGGGCGGGTCG,CD15,64.72,343.0,0.8644688640000001,1,nodrug,0.49066356153247237 -3211,GCGAGCGGGGGAAGATGGCGGAGCTGGGGA,TADA2B,0.71,3.0,0.510526316,0,AZD_200nM,0.326446663853062 -3212,TCCAGCGGGGGCAGCGGGGTGGTGAGGCTG,TADA2B,35.24,148.0,0.184210526,0,AZD_200nM,0.42034731241597784 -3213,CGGCGCGGGTGGCGCCGAGGCCGGGGGCTG,CD15,27.74,147.0,0.36996337,0,nodrug,0.38069090613124684 -3214,AGGGGCGGTACGCTGCAAAGTCTCTGGCAG,CD28,97.25,212.0,0.256756757,0,nodrug,0.37820331996803613 -3215,GGGCGCGGTAGAAGCAGGTAGTCTGGGGAT,CCDC101,82.25,241.0,0.315436242,0,AZD_200nM,0.4009969538283165 -3216,AGCTGCGGTGTCTTGAAAAGGTGAAGGAGG,MED12,54.11,1178.0,0.9794372290000001,1,AZD_200nM,0.6657477681814232 -3217,AGCTGCGGTGTCTTGAAAAGGTGAAGGAGG,MED12,54.11,1178.0,0.975108225,1,PLX_2uM,0.6657477681814232 -3218,TCCAGCGGTTCATGATGTCCCGCACGGTGG,CD13,55.53,537.0,0.969230769,1,nodrug,0.6520325832506162 -3219,ACCAGCGGTTGGTCGTACTGTTTGGGGTGG,MED12,34.82,758.0,0.838744589,1,AZD_200nM,0.6050822798866721 -3220,ACCAGCGGTTGGTCGTACTGTTTGGGGTGG,MED12,34.82,758.0,0.761904762,0,PLX_2uM,0.6050822798866721 -3221,AGTAGCGTCCAAATATGTTGGTACTGGGCT,MED12,99.72,2171.0,0.181818182,0,AZD_200nM,0.203829151859214 -3222,AGTAGCGTCCAAATATGTTGGTACTGGGCT,MED12,99.72,2171.0,0.16017316,0,PLX_2uM,0.203829151859214 -3223,AGCAGCGTCGCGTTCCCGTTCTTCAGGTAT,H2-K,52.57,194.0,0.153846154,0,nodrug,0.3375930209949349 -3224,TGGTGCTAACATGTCTGAAAGGGCAGGATG,MED12,68.49,1491.0,0.75,0,AZD_200nM,0.588615668142998 -3225,TGGTGCTAACATGTCTGAAAGGGCAGGATG,MED12,68.49,1491.0,0.743506494,0,PLX_2uM,0.588615668142998 -3226,CAAAGCTAACATGTTGCCAATCAGAGGATG,NF1,46.25,1313.0,0.769021739,0,PLX_2uM,0.6677482910412464 -3227,CACGGCTACCAGCTGGTGGACGGCGGGCGC,TADA2B,13.33,56.0,0.815789474,1,AZD_200nM,0.5414783405523009 -3228,AGCAGCTACCTGGGGCTGGGACTGGGGCTG,MED12,97.98,2133.0,0.033549784,0,AZD_200nM,0.10021106396514674 -3229,AGCAGCTACCTGGGGCTGGGACTGGGGCTG,MED12,97.98,2133.0,0.082251082,0,PLX_2uM,0.10021106396514674 -3230,TGCTGCTACTGCTGCCCCTGCTGTGGGCAG,CD33,2.75,10.0,0.5865800870000001,0,nodrug,0.5702329033449173 -3231,ACAAGCTAGATCAAGAAGTACAGGAGGAGA,CD33,22.8,83.0,0.7207792209999999,0,nodrug,0.7011782162508716 -3232,AGAAGCTCAACTACACCCTCAGCCAGGGGC,CD13,13.65,132.0,0.224175824,0,nodrug,0.5219032560919353 -3233,GACTGCTCACACCATCCAGCTGCAGGGCCA,MED12,14.15,308.0,0.80952381,1,AZD_200nM,0.7102798326178168 -3234,GACTGCTCACACCATCCAGCTGCAGGGCCA,MED12,14.15,308.0,0.7640692640000001,0,PLX_2uM,0.7102798326178168 -3235,TGCAGCTCACACCTTCACCTACACGGGGCT,MED12,47.59,1036.0,0.40259740299999996,0,AZD_200nM,0.6037518261695943 -3236,TGCAGCTCACACCTTCACCTACACGGGGCT,MED12,47.59,1036.0,0.385281385,0,PLX_2uM,0.6037518261695943 -3237,TGTGGCTCACACGTGATGACATCTCGGGTC,MED12,75.65,1647.0,0.6504329000000001,0,AZD_200nM,0.5088949093652858 -3238,TGTGGCTCACACGTGATGACATCTCGGGTC,MED12,75.65,1647.0,0.753246753,0,PLX_2uM,0.5088949093652858 -3239,GACAGCTCACACTCCAGCATCATATGGGTT,CUL3,72.01,553.0,0.623376623,0,PLX_2uM,0.4457504195997151 -3240,CCAGGCTCACCGGGTACGTGGGCTTGGTGG,NF2,80.5,479.0,0.004484305,0,PLX_2uM,0.3673720399659836 -3241,TGCTGCTCAGCATCATCAGGGGGTGGGTGA,TADA1,74.33,249.0,0.504587156,0,AZD_200nM,0.4441810001060084 -3242,TCCTGCTCAGCCTCTGCGGCCTTCTGGGCC,NF2,67.39,401.0,0.035874439,0,PLX_2uM,0.08962644452798457 -3243,GATAGCTCAGGACCTGGAGATGTACGGTGT,NF2,36.3,216.0,0.242152466,0,PLX_2uM,0.6057540763433408 -3244,ACCAGCTCAGTCTTGTCAATGTCGGGGGGC,CD13,15.41,149.0,0.441758242,0,nodrug,0.6163932293664459 -3245,CCAGGCTCATGGATTTCCTGGCTCGGGGAC,NF1,88.69,2518.0,0.457880435,0,PLX_2uM,0.2879230105624047 -3246,TCAAGCTCATGTTTGACCGCTCCGAGGTCT,CD13,73.63,712.0,0.925274725,1,nodrug,0.6760021117356859 -3247,CCTGGCTCCGACTCAGACCCGCGCGGGTGA,H2-K,5.42,20.0,0.786982249,0,nodrug,0.568164003047955 -3248,GTGGGCTCCGCATAGTCAGCACCCAGGTAC,CD13,43.54,421.0,0.9010989009999999,1,nodrug,0.7288836933995781 -3249,GTGGGCTCCGGCACGGTGGTGGGTGGGGTG,CD5,29.76,147.0,0.330543933,0,nodrug,0.41209665863816874 -3250,TCGAGCTCCTGTCAGATCGCGAGAAGGTGC,TADA2B,84.52,355.0,0.552631579,0,AZD_200nM,0.5615977493994277 -3251,CGTTGCTCGCTGGGGCGGTGCCGGTGGTGC,CD15,82.45,437.0,0.23076923100000002,0,nodrug,0.46509253509841625 -3252,AAGCGCTCGTAGTTGGCACGGTCTGGGCCC,CD15,83.58,443.0,0.454212454,0,nodrug,0.38514546351907203 -3253,TAGGGCTCTAACAAGCTCTCTTTCAGGGAT,CUL3,81.38,625.0,0.038961038999999996,0,PLX_2uM,0.2167696963457477 -3254,GGATGCTCTCCAGCTTCCTGTCCGAGGACG,CD13,50.88,492.0,0.874725275,1,nodrug,0.6373307544657144 -3255,GGACGCTCTCCTACCGGGCGGACTCGGACG,CD15,60.94,323.0,0.776556777,0,nodrug,0.461477046110953 -3256,TCACGCTCTGGGGGCCCGAGGCCGAGGGCG,TADA2B,15.71,66.0,0.142105263,0,AZD_200nM,0.3341477137037163 -3257,TAGAGCTCTTCAAAGAAGGCCACTCGGGAC,NF2,98.99,589.0,0.071748879,0,PLX_2uM,0.29337015235182873 -3258,ATAAGCTGAAAAAGGGAGTCAAAGGGGTAA,CUL3,52.21,401.0,0.7207792209999999,0,PLX_2uM,0.728161177015891 -3259,ACACGCTGAAACCCGATTCCTACCGGGTGA,CD13,8.79,85.0,0.6835164840000001,0,nodrug,0.658860713129322 -3260,AGGCGCTGAAGCGCAAGATCACCAAGGAGG,TADA2B,59.29,249.0,0.731578947,0,AZD_200nM,0.7146529162854547 -3261,GGCAGCTGACAACCAGGAGAAGATCGGGGG,CD33,48.63,177.0,0.42207792200000005,0,nodrug,0.541851465139348 -3262,AACAGCTGAGATGTGGTGACCCCTTGGCCC,CD5,17.81,88.0,0.845188285,1,nodrug,0.6007704822502363 -3263,CGGCGCTGATCACCAAACACAAGTGGGAGC,H2-K,45.26,167.0,0.863905325,1,nodrug,0.6874957065939681 -3264,CGGCGCTGATCACCTACGCTTGCTGGGGGC,CD15,32.26,171.0,0.684981685,0,nodrug,0.41643603345478936 -3265,ATGAGCTGCAGCTCCAAGGAAGACTGGCGC,MED12,62.43,1359.0,0.944805195,1,AZD_200nM,0.59322814111943 -3266,ATGAGCTGCAGCTCCAAGGAAGACTGGCGC,MED12,62.43,1359.0,0.923160173,1,PLX_2uM,0.59322814111943 -3267,ATTGGCTGCAGGTCCGTCTGTCACAGGATT,CD43,33.67,133.0,0.942028986,1,nodrug,0.5449991444756395 -3268,AGATGCTGCAGTTCCGTCTGTCACAGGATT,CD43,35.95,142.0,0.913043478,1,nodrug,0.5702468473787442 -3269,ATGAGCTGCATGAGGCGCTGCGCCTGGGCA,MED12,60.5,1317.0,0.458874459,0,AZD_200nM,0.4108266281877312 -3270,ATGAGCTGCATGAGGCGCTGCGCCTGGGCA,MED12,60.5,1317.0,0.627705628,0,PLX_2uM,0.4108266281877312 -3271,CAGCGCTGCCTGTTCGCGCCATGGGGGCAC,CD15,23.77,126.0,0.6520146520000001,0,nodrug,0.6561300395210986 -3272,AGGTGCTGCGAGTTCTCGAAAGCCAGGTAG,CD15,77.74,412.0,0.39194139200000006,0,nodrug,0.5023422044561682 -3273,ACGTGCTGCGCAGCATCTGCCAACAGGTCA,MED12,59.16,1288.0,0.017316017,0,AZD_200nM,0.4337971833786733 -3274,ACGTGCTGCGCAGCATCTGCCAACAGGTCA,MED12,59.16,1288.0,0.061688312,0,PLX_2uM,0.4337971833786733 -3275,TTTTGCTGCGGAACCCCCTGGCCAAGGCAA,TADA1,25.67,86.0,0.348623853,0,AZD_200nM,0.4801114881375589 -3276,GCTGGCTGCGTTTCTTGCCCTTGGTGGACT,MED12,82.13,1788.0,0.288961039,0,AZD_200nM,0.3739903464831904 -3277,GCTGGCTGCGTTTCTTGCCCTTGGTGGACT,MED12,82.13,1788.0,0.253246753,0,PLX_2uM,0.3739903464831904 -3278,TCAGGCTGCTCAGGGCGGCCTCCCAGGGCA,CD13,71.98,696.0,0.014285714,0,nodrug,0.28377383794966615 -3279,TGCTGCTGCTGCTGCTGCCGGATGTGGTAC,MED12,95.5,2079.0,0.079004329,0,AZD_200nM,0.1409821129648148 -3280,TGCTGCTGCTGCTGCTGCCGGATGTGGTAC,MED12,95.5,2079.0,0.109307359,0,PLX_2uM,0.1409821129648148 -3281,TGCTGCTGCTGCTGCTGCTCAGGTAGGATG,MED12,94.12,2049.0,0.103896104,0,AZD_200nM,0.26882959430348646 -3282,TGCTGCTGCTGCTGCTGCTCAGGTAGGATG,MED12,94.12,2049.0,0.048701299,0,PLX_2uM,0.26882959430348646 -3283,AGCTGCTGCTTGGAGTGGATGCCCTGGGGC,NF2,40.0,238.0,0.569506726,0,PLX_2uM,0.4979863294157874 -3284,TTCTGCTGGAAACTGAGGTGCCACGGGCCA,CD43,55.7,220.0,0.405797101,0,nodrug,0.5689045774816374 -3285,CCATGCTGGAAGGCCTGGAAGCAGAGGGCA,CD45,62.04,701.0,0.7328519859999999,0,nodrug,0.530554622898565 -3286,ATGGGCTGGACAATGTCACCGAGGAGGCTG,TADA1,50.45,169.0,0.7889908259999999,0,AZD_200nM,0.711724124528326 -3287,CTCTGCTGGAGGCACACTCCCCCAAGGGCA,NF1,29.87,848.0,0.59375,0,PLX_2uM,0.5890605489284165 -3288,TGGTGCTGGATCTTTGCCTTGGCCAGGGGG,TADA1,25.37,85.0,0.229357798,0,AZD_200nM,0.2943380130701045 -3289,AGAAGCTGGATTCTGACCAGCACAGGGAGC,TADA1,71.64,240.0,0.697247706,0,AZD_200nM,0.6187627915063503 -3290,AGGTGCTGGCACTGAAGATGGCTGAGGAGT,NF2,74.12,441.0,0.358744395,0,PLX_2uM,0.5630093172517024 -3291,ATGGGCTGGCATTCTGGGCTTCAGAGGTAC,CD43,10.38,41.0,0.8478260870000001,1,nodrug,0.641993474989576 -3292,TGCTGCTGGCCATGTGTGGTCCTCTGGTCT,CD5,80.57,398.0,0.543933054,0,nodrug,0.36287022812883835 -3293,AGAAGCTGGCCATGTTCATGTTTCAGGTAG,MED12,11.21,244.0,0.104978355,0,AZD_200nM,0.2832558610915958 -3294,AGAAGCTGGCCATGTTCATGTTTCAGGTAG,MED12,11.21,244.0,0.106060606,0,PLX_2uM,0.2832558610915958 -3295,CTAAGCTGGCTCTGCAGTGCAGGAGGGTAA,NF1,97.36,2764.0,0.17798913,0,PLX_2uM,0.2494180140004622 -3296,TGCTGCTGGCTGCCACATACCTGCTGGGAA,CD5,2.63,13.0,0.882845188,1,nodrug,0.5183910287174313 -3297,AGCAGCTGGGCTACATGCCGCTGCGGGATG,TADA2B,40.24,169.0,0.273684211,0,AZD_200nM,0.5147599304530761 -3298,GGCTGCTGGGGAAGAATTGGAGAAGGGTCA,MED12,66.7,1452.0,0.903679654,1,AZD_200nM,0.7056406180215481 -3299,GGCTGCTGGGGAAGAATTGGAGAAGGGTCA,MED12,66.7,1452.0,0.87987013,1,PLX_2uM,0.7056406180215481 -3300,TGCTGCTGGGTCTGCTGAAGCCCCTGGCGC,MED12,98.35,2141.0,0.001082251,0,AZD_200nM,0.1215265215159987 -3301,TGCTGCTGGGTCTGCTGAAGCCCCTGGCGC,MED12,98.35,2141.0,0.029220779,0,PLX_2uM,0.1215265215159987 -3302,GCCCGCTGGGTTTGGGTCTTGGCCTGGATA,CD5,74.29,367.0,0.07949790799999999,0,nodrug,0.34176752376494135 -3303,ACCAGCTGGTAGCCGTGGTAGCGGCGGTGG,TADA2B,11.19,47.0,0.48421052600000003,0,AZD_200nM,0.6628456444440507 -3304,TCAGGCTGGTCACCTTCTGCCCTCGGGACA,THY1,11.73,19.0,0.516129032,0,nodrug,0.5215045324083419 -3305,CGTGGCTGGTCGTAAAGAACCCCAAGGGTC,MED12,33.21,723.0,0.866883117,1,AZD_200nM,0.690416164460669 -3306,CGTGGCTGGTCGTAAAGAACCCCAAGGGTC,MED12,33.21,723.0,0.835497835,1,PLX_2uM,0.690416164460669 -3307,TGGTGCTGGTGGGATGTTGCACTTTGGTGT,CUL3,67.97,522.0,0.662337662,0,PLX_2uM,0.4648796272927891 -3308,TAGGGCTGGTTGGAGAGGGTGACGCGGGAG,THY1,48.77,79.0,0.14516129,0,nodrug,0.5907688266173229 -3309,TTCTGCTGTACTGCCTTGGGTTTCGGGCCC,NF1,18.25,518.0,0.104619565,0,PLX_2uM,0.2042585525964002 -3310,ATGGGCTGTCAGCTGCAAGCGTTCTGGTCG,MED12,23.7,516.0,0.172077922,0,AZD_200nM,0.3930361580025432 -3311,ATGGGCTGTCAGCTGCAAGCGTTCTGGTCG,MED12,23.7,516.0,0.207792208,0,PLX_2uM,0.3930361580025432 -3312,CTGTGCTGTCCTAGTGCCTTGGTTTGGCAC,MED12,17.36,378.0,0.791125541,0,AZD_200nM,0.53688895091385 -3313,CTGTGCTGTCCTAGTGCCTTGGTTTGGCAC,MED12,17.36,378.0,0.810606061,1,PLX_2uM,0.53688895091385 -3314,GCCTGCTGTCTCTGGGGATGAGCATGGCAG,MED12,2.53,55.0,0.5367965370000001,0,AZD_200nM,0.5915686322606122 -3315,GCCTGCTGTCTCTGGGGATGAGCATGGCAG,MED12,2.53,55.0,0.465367965,0,PLX_2uM,0.5915686322606122 -3316,TCTGGCTGTGAAGTGGGGTCCGACGGGCGA,H2-K,34.42,127.0,0.869822485,1,nodrug,0.5605145313665227 -3317,TGGAGCTGTGATATGTGGGGTAGATGGTAG,CD43,7.85,31.0,0.84057971,1,nodrug,0.6034747672032399 -3318,TCGAGCTGTGCCCCGAGTGCTTCTCGGCCG,TADA2B,8.57,36.0,0.063157895,0,AZD_200nM,0.43166835659092406 -3319,ACCCGCTGTGGGGGCGCATGGATCAGGGCG,CCDC101,84.98,249.0,0.25503355699999997,0,AZD_200nM,0.25929566586093866 -3320,TGCTGCTGTGGTGGGAGCCCTTCGGGGGGC,CD15,37.36,198.0,0.835164835,1,nodrug,0.5747309486512082 -3321,CGTCGCTGTTCACGCCCTTGTACAGGGATG,CD28,26.15,57.0,0.7972972970000001,0,nodrug,0.6041315267282995 -3322,TGGAGCTTACTGTTGTAGCCACAGAGGGTC,CD43,44.05,174.0,0.695652174,0,nodrug,0.6773325478796967 -3323,AATGGCTTACTTGGATTAAAAAGCAGGTTC,NF1,12.57,357.0,0.6915760870000001,0,PLX_2uM,0.5490810260836851 -3324,TCTGGCTTATATCCAACACTTCGTGGGGTC,HPRT1,77.98,170.0,0.328125,0,6TG_2ug/mL,0.47093959505043104 -3325,AAGGGCTTATTGGATCTGAAGAGTAGGTTC,CUL3,45.57,350.0,0.525974026,0,PLX_2uM,0.6370374224204237 -3326,CCAGGCTTCCCGATCCACAGGGGCAGGGTC,CCDC101,44.71,131.0,0.32214765100000003,0,AZD_200nM,0.43102312953205524 -3327,ACGTGCTTCCTCTTCTCTCGGGTCAGGCTG,THY1,34.57,56.0,0.580645161,0,nodrug,0.4401034659701657 -3328,AGCTGCTTCTCAAATCCTCGGATCTGGTGG,MED12,41.94,913.0,0.568181818,0,AZD_200nM,0.46665724684772564 -3329,AGCTGCTTCTCAAATCCTCGGATCTGGTGG,MED12,41.94,913.0,0.555194805,0,PLX_2uM,0.46665724684772564 -3330,CAGAGCTTCTCGGTGATATAATCCAGGTGC,CD15,79.25,420.0,0.6959706959999999,0,nodrug,0.48851752428368134 -3331,CCTTGCTTCTTCATGCAGGCTGTGTGGCGT,MED12,43.68,951.0,0.9718614720000001,1,AZD_200nM,0.6885968590988133 -3332,CCTTGCTTCTTCATGCAGGCTGTGTGGCGT,MED12,43.68,951.0,0.96969697,1,PLX_2uM,0.6885968590988133 -3333,CCCTGCTTGAATACGTCCTCGGACAGGAAG,CD13,50.88,492.0,0.803296703,1,nodrug,0.602233023609832 -3334,GTCTGCTTGGGCAGTGGCAGCAGCTGGCGA,MED12,75.24,1638.0,0.7283549779999999,0,AZD_200nM,0.39272122025191747 -3335,GTCTGCTTGGGCAGTGGCAGCAGCTGGCGA,MED12,75.24,1638.0,0.482683983,0,PLX_2uM,0.39272122025191747 -3336,TACTGCTTGGTACGCAGAGCACCGAGGCCG,NF2,32.77,195.0,0.780269058,0,PLX_2uM,0.7940416347439514 -3337,CTTGGCTTGGTGACCTGGTGGTTATGGGAT,CD43,60.25,238.0,0.086956522,0,nodrug,0.24030678085560678 -3338,CCCTGCTTGTGGTAGATAGCAACGAGGTCA,CD28,16.06,35.0,0.9189189190000001,1,nodrug,0.8503143738644589 -3339,TAGAGCTTGTTGTCACAGTGGTGGGGGGTG,CD43,40.51,160.0,0.282608696,0,nodrug,0.48805766353638824 -3340,TATGGCTTTAAAGTCAGTAAGACATGGTAT,NF1,57.31,1627.0,0.99048913,1,PLX_2uM,0.7174208535625753 -3341,ATGCGCTTTATGCGCTGCCGCTGGGGGTTT,MED12,61.55,1340.0,0.8560606059999999,1,AZD_200nM,0.5941723468368866 -3342,ATGCGCTTTATGCGCTGCCGCTGGGGGTTT,MED12,61.55,1340.0,0.772727273,0,PLX_2uM,0.5941723468368866 -3343,AGCGGCTTTCTGCCTCGGACAGTCTGGAAG,CD5,4.86,24.0,0.058577406,0,nodrug,0.4552980436384965 -3344,GTTAGCTTTGAAGTGGATCCTACCAGGTTT,NF1,46.64,1324.0,0.600543478,0,PLX_2uM,0.5800180880368965 -3345,ACATGGAAAAGAGCAAGCATCTGCAGGAGC,NF2,89.92,535.0,0.766816143,0,PLX_2uM,0.41970179401740204 -3346,TCGAGGAAAAGCAGGTACGAGGCCAGGGAG,CD15,88.49,469.0,0.201465201,0,nodrug,0.4018273150471651 -3347,TCCAGGAAACAGGGGCTGGTGGCATGGGTG,CD15,67.55,358.0,0.380952381,0,nodrug,0.39752483165296876 -3348,GGCAGGAAACGTGGCATGTCTCGGAGGCTG,NF1,40.01,1136.0,0.5625,0,PLX_2uM,0.694070225527545 -3349,GATGGGAAACTTGCTGAATACCCGTGGAAT,CD45,43.27,489.0,0.9205776170000001,1,nodrug,0.7062456482572685 -3350,GAAGGGAAAGGACCAAGGGCCAAGGGGTCA,CD5,18.02,89.0,0.9958159,1,nodrug,0.7263601165387259 -3351,GAGCGGAAAGGAGAAGTCGTAGACAGGTAA,CUL3,23.31,179.0,0.467532468,0,PLX_2uM,0.5464038672260856 -3352,CTCTGGAACAATCAGGAGAAAATTGGGCAG,NF1,53.47,1518.0,0.6888586959999999,0,PLX_2uM,0.5287342430433276 -3353,TCCCGGAACCAGTAACCATGAACTGGGGAG,CD33,15.38,56.0,0.922077922,1,nodrug,0.6141914434837213 -3354,ATCGGGAACCATGATCTATTTATGAGGAGA,NF2,51.76,308.0,0.9013452909999999,1,PLX_2uM,0.5799195727867151 -3355,TTCGGGAACCTGGTGACCATAGAGTGGTGG,CD13,41.57,402.0,0.6593406589999999,0,nodrug,0.7188962512474489 -3356,CAATGGAACTATTATTCACATAAAAGGTAA,CD28,62.39,136.0,0.310810811,0,nodrug,0.29304943679152484 -3357,GGATGGAAGAAAGTGCAGGGCACGAGGACG,CD33,10.71,39.0,0.91991342,1,nodrug,0.6157935670039484 -3358,CAACGGAAGAACCAATTGTAAAGGTGGTTG,CUL3,34.11,262.0,0.538961039,0,PLX_2uM,0.6714412579236324 -3359,AGATGGAAGAGTCGGCAGAGTACGAGGCAG,TADA2B,73.33,308.0,0.389473684,0,AZD_200nM,0.5849421166585026 -3360,CTTGGGAAGATACACATGCAAAATGGGAAC,NF1,27.58,783.0,0.133152174,0,PLX_2uM,0.425949998535005 -3361,GTGAGGAAGCAGATATCCGGTGTGGGGTGG,NF1,25.4,721.0,0.9388586959999999,1,PLX_2uM,0.7369223038840824 -3362,TGCGGGAAGCGATGGCCCCGGCCATGGCGC,NF2,0.34,2.0,0.210762332,0,PLX_2uM,0.4091253465710999 -3363,GTGCGGAAGCTGAAAGAGAGACAGCGGCGG,TADA2B,51.67,217.0,0.821052632,1,AZD_200nM,0.7307539895813056 -3364,GACAGGAAGCTGGAGAGCATCCTGAGGACT,CD13,50.16,485.0,0.24175824199999998,0,nodrug,0.6608120042737429 -3365,TCCGGGAAGGAGCCATTATATCCAGGGACT,CD33,18.68,68.0,0.33766233799999995,0,nodrug,0.6038183142887933 -3366,TATAGGAAGGGTCACCATGATGAATGGGAT,NF1,87.32,2479.0,0.388586957,0,PLX_2uM,0.44813406228735886 -3367,GGGAGGAAGGTGAAACTGACCTGTTGGCAG,MED12,59.21,1289.0,0.9978354979999999,1,AZD_200nM,0.6901873381419849 -3368,GGGAGGAAGGTGAAACTGACCTGTTGGCAG,MED12,59.21,1289.0,0.956709957,1,PLX_2uM,0.6901873381419849 -3369,TCTAGGAAGTCTGTGCTCAGTACTGGGGCG,CD45,79.73,901.0,0.357400722,0,nodrug,0.3975279120038181 -3370,TTCTGGAAGTGGGGTGCTGGGACCTGGGCA,CD13,26.27,254.0,0.264835165,0,nodrug,0.26313921342444846 -3371,GCTGGGAAGTTGCAAGTGAGGTCATGGAAT,NF1,98.03,2783.0,0.0013586960000000002,0,PLX_2uM,0.18632064548428814 -3372,GAGGGGAATAGCCATCTGCATAGGAGGTGT,CCDC101,91.81,269.0,0.7919463090000001,0,AZD_200nM,0.4872912150556896 -3373,AAATGGAATATCTGAAGATAGCTCAGGACC,NF2,35.46,211.0,0.9641255609999999,1,PLX_2uM,0.6187205979380019 -3374,GGTAGGAATCGGGTTTCAGCGTGTTGGGGA,CD13,8.17,79.0,0.32967033,0,nodrug,0.47190844457054537 -3375,CTATGGAATGGGCCCGGGTCGGAGCGGCCC,MED12,83.05,1808.0,0.286796537,0,AZD_200nM,0.5084987769863083 -3376,CTATGGAATGGGCCCGGGTCGGAGCGGCCC,MED12,83.05,1808.0,0.27597402600000004,0,PLX_2uM,0.5084987769863083 -3377,TCATGGAATTAGAAAGGTTAAGGTTGGCAG,NF1,97.78,2776.0,0.08967391300000001,0,PLX_2uM,0.20047660977783244 -3378,TGGTGGAATTCTACAATGGCAGCTGGGGTG,CD5,36.44,180.0,0.6903765690000001,0,nodrug,0.5327727536273753 -3379,CATTGGAATTGATGCCATGCTGGAAGGCCT,CD45,61.59,696.0,0.758122744,0,nodrug,0.6203983851248632 -3380,GGAAGGACAAGAAGGAGAAGGAAAAGGCGC,TADA2B,57.38,241.0,0.257894737,0,AZD_200nM,0.4876696875861136 -3381,GACTGGACAATGGCTTCACACTCCTGGTGC,NF1,63.97,1816.0,0.8722826090000001,1,PLX_2uM,0.5736806511218282 -3382,GGAAGGACACCAAGATGCGGATCCGGGCCT,CUL3,2.34,18.0,0.20129870100000002,0,PLX_2uM,0.492801430599294 -3383,ACTTGGACAGCAGTAGAACCAACCTGGAAA,NF1,61.89,1757.0,0.78125,0,PLX_2uM,0.6977182752778653 -3384,TGTTGGACAGGGCTGTCAGGTCCTTGGGGT,CD13,25.03,242.0,0.10769230800000001,0,nodrug,0.2732840427246522 -3385,AGGAGGACAGGGGGTCGAACAGCAGGGAGT,CD13,38.06,368.0,0.618681319,0,nodrug,0.6622177033456487 -3386,GGGAGGACATGGCCGCGCACAGGCCGGTGG,NF1,0.18,5.0,0.578804348,0,PLX_2uM,0.46597227608718855 -3387,GCCTGGACATGGGGCAACCTTCTCAGGCCA,NF1,89.12,2530.0,0.066576087,0,PLX_2uM,0.23892587380201447 -3388,CCAGGGACATGTGTTAAAGGCTGCTGGGGA,MED12,66.42,1446.0,0.241341991,0,AZD_200nM,0.5047977230693391 -3389,CCAGGGACATGTGTTAAAGGCTGCTGGGGA,MED12,66.42,1446.0,0.21103896100000002,0,PLX_2uM,0.5047977230693391 -3390,CATGGGACATTCGCCTCTTAACAATGGTCT,NF1,28.64,813.0,0.9673913040000001,1,PLX_2uM,0.6530999103739042 -3391,ACCTGGACCCAGCATGCCCCAAAGAGGAGG,CD43,2.28,9.0,0.891304348,1,nodrug,0.7081216409267278 -3392,AGCAGGACCTGCAGGAAGCACGCGAGGCGG,NF2,77.65,462.0,0.659192825,0,PLX_2uM,0.5282081045329319 -3393,GAACGGACGCCTGCCTGGACGCCCTGGGCA,MED12,93.57,2037.0,0.016233766,0,AZD_200nM,0.16255836498803547 -3394,GAACGGACGCCTGCCTGGACGCCCTGGGCA,MED12,93.57,2037.0,0.006493506,0,PLX_2uM,0.16255836498803547 -3395,AGGCGGACGGGGTGGTGGAGGCCACGGGGG,CD13,4.86,47.0,0.124175824,0,nodrug,0.3787403873191388 -3396,CACAGGACGGTATGGGTCCACACGAGGGCC,MED12,85.21,1855.0,0.40151515200000004,0,AZD_200nM,0.5768543802200938 -3397,CACAGGACGGTATGGGTCCACACGAGGGCC,MED12,85.21,1855.0,0.37229437200000004,0,PLX_2uM,0.5768543802200938 -3398,CCGAGGACGTATTCAAGCAGGGCCTGGCGG,CD13,51.6,499.0,0.510989011,0,nodrug,0.5053193242153651 -3399,TGTTGGACTACGAGGAGGCAGCGGCGGCGG,CD15,51.7,274.0,0.472527473,0,nodrug,0.6273060662493524 -3400,CCATGGACTCCCACGAAGTGCTGCTGGCTG,CD5,1.42,7.0,0.606694561,0,nodrug,0.4856526023866878 -3401,GGATGGACTGCCCTTCCCCTCACAGGGCAT,MED12,31.88,694.0,0.49350649399999996,0,AZD_200nM,0.5391612002143188 -3402,GGATGGACTGCCCTTCCCCTCACAGGGCAT,MED12,31.88,694.0,0.44155844200000005,0,PLX_2uM,0.5391612002143188 -3403,TCGGGGACTGGTCTGGCCGACAGTTGGATA,NF1,88.45,2511.0,0.21059782600000002,0,PLX_2uM,0.40158305503790614 -3404,CTCAGGAGACTACGTGGCCAGACCTGGAGA,CCDC101,53.58,157.0,0.697986577,0,AZD_200nM,0.5372343016119374 -3405,ATACGGAGACTATCTAAAGTATGCAGGTTT,NF1,82.53,2343.0,0.763586957,0,PLX_2uM,0.5004331831671879 -3406,AGCTGGAGAGCATCCTGAGGACTGAGGCGC,CD13,49.95,483.0,0.108791209,0,nodrug,0.6903283265929274 -3407,AGCAGGAGAGCGACGCTGATGGCTGGGTTC,THY1,2.47,4.0,0.532258065,0,nodrug,0.5237752843836662 -3408,AAAGGGAGAGGGAGGCCGGGGACCAGGGGC,MED12,28.98,631.0,0.153679654,0,AZD_200nM,0.2946165604024456 -3409,AAAGGGAGAGGGAGGCCGGGGACCAGGGGC,MED12,28.98,631.0,0.17857142899999998,0,PLX_2uM,0.2946165604024456 -3410,GGAGGGAGATCCCAGAAAACCTGATGGACC,CD13,77.25,747.0,0.17362637399999997,0,nodrug,0.5372413190706321 -3411,TGCGGGAGATCGAGCAGCAGATCAAGGAGC,MED12,19.66,428.0,0.371212121,0,AZD_200nM,0.5426024825844632 -3412,TGCGGGAGATCGAGCAGCAGATCAAGGAGC,MED12,19.66,428.0,0.40800865799999997,0,PLX_2uM,0.5426024825844632 -3413,GCCAGGAGCACAGAAGCCTCAGGAGGGCAG,NF2,22.69,135.0,0.9461883409999999,1,PLX_2uM,0.7206501790331005 -3414,TGGTGGAGCCCACCGAGTACCTGGTGGTGC,CD13,16.75,162.0,0.984615385,1,nodrug,0.7571440640807487 -3415,TGGGGGAGCGCCAGTCAGACAGTCTGGAAA,MED12,74.92,1631.0,0.36255411299999996,0,AZD_200nM,0.46608949594195914 -3416,TGGGGGAGCGCCAGTCAGACAGTCTGGAAA,MED12,74.92,1631.0,0.312770563,0,PLX_2uM,0.46608949594195914 -3417,GCCAGGAGGAAATCATTGTGAGAATGGACT,TADA1,17.31,58.0,0.220183486,0,AZD_200nM,0.5205599824770835 -3418,TCAAGGAGGAAGTGCTCCTGGGAAAGGGTC,CD13,58.12,562.0,0.42967033,0,nodrug,0.513241746068675 -3419,CCAGGGAGGAGAAGGCTAGAAAGCAGGTGA,NF2,55.8,332.0,0.46636771299999996,0,PLX_2uM,0.6063467175630274 -3420,GCACGGAGGAGGAGAAGCGCCTGATGGAGC,NF2,71.43,425.0,0.3632287,0,PLX_2uM,0.5633193649948027 -3421,TGAGGGAGGAGGCTGAACGCACGAGGGATG,NF2,59.16,352.0,0.9596412559999999,1,PLX_2uM,0.7319735455942727 -3422,CCCAGGAGGATCCCCAGGATGCCCAGGGAC,CD13,1.24,12.0,0.454945055,0,nodrug,0.4429733185755191 -3423,TGAAGGAGGATGCGGCAGGTAAGCCGGGCC,MED12,53.79,1171.0,0.901515152,1,AZD_200nM,0.4859352147476663 -3424,TGAAGGAGGATGCGGCAGGTAAGCCGGGCC,MED12,53.79,1171.0,0.864718615,1,PLX_2uM,0.4859352147476663 -3425,GTCAGGAGGCAACGGTGCTGGAATTGGGTT,NF2,82.02,488.0,0.26008968600000004,0,PLX_2uM,0.32883785780196073 -3426,GTCCGGAGGCACTGTCACACCATAAGGGCC,MED12,83.28,1813.0,0.40043290000000004,0,AZD_200nM,0.4342538579625735 -3427,GTCCGGAGGCACTGTCACACCATAAGGGCC,MED12,83.28,1813.0,0.344155844,0,PLX_2uM,0.4342538579625735 -3428,TGGTGGAGGCCACGGGGGAGCTGTTGGCGT,CD13,4.45,43.0,0.46593406600000004,0,nodrug,0.49341061456754876 -3429,CGGGGGAGGCGCTCACCTCTGTCTTGGTAG,MED12,82.64,1799.0,0.8495671,1,AZD_200nM,0.4473323505881338 -3430,CGGGGGAGGCGCTCACCTCTGTCTTGGTAG,MED12,82.64,1799.0,0.7705627709999999,0,PLX_2uM,0.4473323505881338 -3431,CCCTGGAGGCTGCTTTACCCGCTGTGGGGG,CCDC101,87.03,255.0,0.711409396,0,AZD_200nM,0.4481766423487496 -3432,GAGTGGAGGTCAGTCCATGTCCATAGGTGG,MED12,92.19,2007.0,0.390692641,0,AZD_200nM,0.33775109629982564 -3433,GAGTGGAGGTCAGTCCATGTCCATAGGTGG,MED12,92.19,2007.0,0.40692640700000005,0,PLX_2uM,0.33775109629982564 -3434,AGAAGGAGGTGAAGCCCCCACCCAAGGAGA,MED12,32.8,714.0,0.100649351,0,AZD_200nM,0.49413383203164307 -3435,AGAAGGAGGTGAAGCCCCCACCCAAGGAGA,MED12,32.8,714.0,0.08982684,0,PLX_2uM,0.49413383203164307 -3436,CCGAGGAGGTGGATCTGCGCGTGTTGGACT,CD15,50.38,267.0,0.322344322,0,nodrug,0.5812071978951489 -3437,GGCTGGAGTAGCTGGGGGGCACCATGGTAC,MED12,90.22,1964.0,0.137445887,0,AZD_200nM,0.25096229554595306 -3438,GGCTGGAGTAGCTGGGGGGCACCATGGTAC,MED12,90.22,1964.0,0.148268398,0,PLX_2uM,0.25096229554595306 -3439,CTTGGGAGTCAAAAAACTTGCTGATGGTAT,NF1,33.18,942.0,0.139945652,0,PLX_2uM,0.5814690482764298 -3440,TGCAGGAGTCAGTGACGGTACAGGAGGGTT,CD33,8.79,32.0,0.904761905,1,nodrug,0.644676095213347 -3441,CATTGGAGTCATGGTACTTATCATGGGTGT,MED12,93.11,2027.0,0.182900433,0,AZD_200nM,0.3469740000870654 -3442,CATTGGAGTCATGGTACTTATCATGGGTGT,MED12,93.11,2027.0,0.128787879,0,PLX_2uM,0.3469740000870654 -3443,CTCTGGAGTGGCACTGCAAGCAAATGGATC,NF1,83.59,2373.0,0.270380435,0,PLX_2uM,0.402125156013036 -3444,CCACGGAGTGGGCCATGCTCCTCCTGGAGA,MED12,71.7,1561.0,0.553030303,0,AZD_200nM,0.4702958832422148 -3445,CCACGGAGTGGGCCATGCTCCTCCTGGAGA,MED12,71.7,1561.0,0.588744589,0,PLX_2uM,0.4702958832422148 -3446,AGCAGGAGTGGTTCATGGGGCCATTGGAGG,CD33,71.7,261.0,0.5995670999999999,0,nodrug,0.47984274024380413 -3447,GTTAGGAGTTACTCACCCATGAAAGGGTCA,MED12,8.41,183.0,0.917748918,1,AZD_200nM,0.6049965104833052 -3448,GTTAGGAGTTACTCACCCATGAAAGGGTCA,MED12,8.41,183.0,0.884199134,1,PLX_2uM,0.6049965104833052 -3449,AGGGGGAGTTGGCAGATGACCTGGCGGGCT,CD13,19.65,190.0,0.5043956039999999,0,nodrug,0.6700654793305891 -3450,CACCGGATATCTGCTTCCTCACAGAGGTGG,NF1,25.15,714.0,0.449728261,0,PLX_2uM,0.7449289406361579 -3451,GGCAGGATCATCAAAGGGAGAGGGAGGCCG,MED12,29.17,635.0,0.707792208,0,AZD_200nM,0.6543505338712817 -3452,GGCAGGATCATCAAAGGGAGAGGGAGGCCG,MED12,29.17,635.0,0.8160173159999999,1,PLX_2uM,0.6543505338712817 -3453,AGCTGGATCCCCACAACTAGGCTTAGGCGT,CD45,19.38,219.0,0.916967509,1,nodrug,0.599272962795194 -3454,CTATGGATCCTCCTCCACTCACATGGGACA,NF1,28.88,820.0,0.373641304,0,PLX_2uM,0.661253205010049 -3455,TTATGGATCGGCTGTTGTCCTTAATGGTGT,NF1,31.74,901.0,0.288043478,0,PLX_2uM,0.23393971662739718 -3456,AGATGGATCTGAAGTTGGTGTTGGAGGTGC,CUL3,75.13,577.0,0.480519481,0,PLX_2uM,0.4834177956685291 -3457,TTCGGGATCTTGAGCTACGAACACCGGCCC,MED12,0.51,11.0,0.741341991,0,AZD_200nM,0.6474710808806813 -3458,TTCGGGATCTTGAGCTACGAACACCGGCCC,MED12,0.51,11.0,0.773809524,0,PLX_2uM,0.6474710808806813 -3459,TGCTGGATCTTTGCCTTGGCCAGGGGGTTC,TADA1,25.67,86.0,0.633027523,0,AZD_200nM,0.5682426607367984 -3460,CTCAGGATGAACTAGCTCGAGTTCTGGTTA,NF1,43.75,1242.0,0.705163043,0,PLX_2uM,0.502500859360176 -3461,AGCGGGATGACACGGCGCCGGCTCAGGGTG,CCDC101,70.31,206.0,0.812080537,1,AZD_200nM,0.35722413657354024 -3462,GTAGGGATGACTTCCCTGTGCACCTGGGAT,TADA1,85.37,286.0,0.27522935800000004,0,AZD_200nM,0.3307483557158385 -3463,CAAAGGATGCATTAATGTATTTGCTGGTTT,CD45,74.51,842.0,0.216606498,0,nodrug,0.4035507578155837 -3464,TTAAGGATGGGGCCCGTCACGTTCAGGGCA,CD13,32.99,319.0,0.187912088,0,nodrug,0.3008953735538987 -3465,TCCAGGATGTCCTCCTGCAGTTTCTGGATA,MED12,26.32,573.0,0.018398268,0,AZD_200nM,0.16029481018101147 -3466,TCCAGGATGTCCTCCTGCAGTTTCTGGATA,MED12,26.32,573.0,0.036796537000000004,0,PLX_2uM,0.16029481018101147 -3467,GGTAGGATGTGATATTCCTTCTAGTGGAAA,NF1,22.4,636.0,0.213315217,0,PLX_2uM,0.5430230172426559 -3468,GAGGGGATTCCTTGCCGCTTCTGGAGGTGG,TADA2B,90.95,382.0,0.7894736840000001,0,AZD_200nM,0.46176478216757505 -3469,TGCCGGATTGCCACCTCTACATCATGGGGC,MED12,10.34,225.0,0.42748917700000005,0,AZD_200nM,0.5161881195115102 -3470,TGCCGGATTGCCACCTCTACATCATGGGGC,MED12,10.34,225.0,0.45021645,0,PLX_2uM,0.5161881195115102 -3471,CACAGGATTGGCTGCAGTGACAGGAGGGTC,CD43,31.9,126.0,0.572463768,0,nodrug,0.5730552487081011 -3472,CTTTGGATTGGGACCTAGCAAGGATGGGCA,MED12,22.55,491.0,0.693722944,0,AZD_200nM,0.5624456253963684 -3473,CTTTGGATTGGGACCTAGCAAGGATGGGCA,MED12,22.55,491.0,0.74025974,0,PLX_2uM,0.5624456253963684 -3474,ACTGGGATTGTGGTCTGCCCCCAGGGGCTG,CD43,16.46,65.0,0.37681159399999997,0,nodrug,0.6648376956045854 -3475,TCATGGATTTCCTGGCTCGGGGACTGGTCT,NF1,88.62,2516.0,0.198369565,0,PLX_2uM,0.32443948405613665 -3476,AGGAGGCAAAACTTCTGGCCCAGAAGGCCG,NF2,67.23,400.0,0.192825112,0,PLX_2uM,0.5416282960302796 -3477,AGATGGCAACACTTCTTGCATACCTGGGTC,NF1,54.42,1545.0,0.13179347800000002,0,PLX_2uM,0.4001344841818294 -3478,GCCTGGCAACCTATAGCCCACCCATGGGTC,NF1,30.5,866.0,0.20516304300000002,0,PLX_2uM,0.5137077698997641 -3479,CAGTGGCACACACTTCGAAGTTGAGGGGGG,NF1,47.9,1360.0,0.7459239129999999,0,PLX_2uM,0.5357811015725259 -3480,CCTGGGCACAGAGGAACCCGGGGGAGGTTT,CD5,68.22,337.0,0.309623431,0,nodrug,0.5117865776076884 -3481,TCCTGGCACCAGCTGCAATCTGGGAGGAGC,CD5,31.98,158.0,0.89539749,1,nodrug,0.658192996823508 -3482,TGGGGGCACCGTGGGGCTCGCCGACGGCGG,CD15,25.09,133.0,0.34798534799999997,0,nodrug,0.4409661223735492 -3483,TCCAGGCACTACTCACATTGTTAGGGGTCT,MED12,63.02,1372.0,0.787878788,0,AZD_200nM,0.6408923704481929 -3484,TCCAGGCACTACTCACATTGTTAGGGGTCT,MED12,63.02,1372.0,0.861471861,1,PLX_2uM,0.6408923704481929 -3485,TGAAGGCACTGTTACCCTCTGGCATGGGCA,MED12,18.7,407.0,0.727272727,0,AZD_200nM,0.5608507850772559 -3486,TGAAGGCACTGTTACCCTCTGGCATGGGCA,MED12,18.7,407.0,0.597402597,0,PLX_2uM,0.5608507850772559 -3487,GATGGGCAGAAGCGGCGACGCAACCGGCCT,MED12,37.57,818.0,0.310606061,0,AZD_200nM,0.41977824675197856 -3488,GATGGGCAGAAGCGGCGACGCAACCGGCCT,MED12,37.57,818.0,0.30952381,0,PLX_2uM,0.41977824675197856 -3489,ATGAGGCAGAGACAAAGAGCGAGCAGGGCT,CD33,74.45,271.0,0.519480519,0,nodrug,0.4740941443460549 -3490,TGATGGCAGATACTGCTGTAGCTTTGGCTT,NF1,71.75,2037.0,0.289402174,0,PLX_2uM,0.3107757207458025 -3491,CCTAGGCAGATCAGGCTCAGCGGAAGGCAC,CD5,25.71,127.0,0.9874476990000001,1,nodrug,0.6211686773329167 -3492,TGTGGGCAGCACTCCAGGGTAAGTTGGTCG,MED12,86.08,1874.0,0.569264069,0,AZD_200nM,0.5138378573978788 -3493,TGTGGGCAGCACTCCAGGGTAAGTTGGTCG,MED12,86.08,1874.0,0.7359307359999999,0,PLX_2uM,0.5138378573978788 -3494,ATGTGGCAGCCAGCAGCACTTCGTGGGAGT,CD5,1.01,5.0,0.7071129709999999,0,nodrug,0.582724522329982 -3495,CCGGGGCAGCCGGTGCCCGAAATTGGGCTC,CD15,75.09,398.0,0.12087912099999999,0,nodrug,0.3169597752951317 -3496,CGGGGGCAGCGGGGTGGTGAGGCTGGGTGA,TADA2B,35.0,147.0,0.9789473679999999,1,AZD_200nM,0.47176568048150574 -3497,TGGGGGCAGCTGCCGCCGCTGCCCTGGGCG,CD15,33.77,179.0,0.04029304,0,nodrug,0.21023096561775495 -3498,CATCGGCAGGATCATCAAAGGGAGAGGGAG,MED12,29.21,636.0,0.7132034629999999,0,AZD_200nM,0.5245761645529201 -3499,CATCGGCAGGATCATCAAAGGGAGAGGGAG,MED12,29.21,636.0,0.7857142859999999,0,PLX_2uM,0.5245761645529201 -3500,ATGAGGCAGGCATGATAGTGCCGCAGGACA,MED12,42.77,931.0,0.916666667,1,AZD_200nM,0.6392455857975816 -3501,ATGAGGCAGGCATGATAGTGCCGCAGGACA,MED12,42.77,931.0,0.917748918,1,PLX_2uM,0.6392455857975816 -3502,CTGAGGCAGGGATGGCCCCACAGAGGGGTG,CCDC101,49.49,145.0,0.261744966,0,AZD_200nM,0.46940547047717635 -3503,CGCAGGCAGGGCCCACTCACCTTTGGGAAG,CD13,26.16,253.0,0.22967033,0,nodrug,0.4005671266459086 -3504,CATGGGCAGGTTGGACGGGGCAATAGGCAA,MED12,18.37,400.0,0.835497835,1,AZD_200nM,0.46266063303025895 -3505,CATGGGCAGGTTGGACGGGGCAATAGGCAA,MED12,18.37,400.0,0.8409090909999999,1,PLX_2uM,0.46266063303025895 -3506,GAGAGGCAGTAGGCTCAGGTACAGGGGTGC,CD43,24.56,97.0,0.5507246379999999,0,nodrug,0.6489169519016018 -3507,ATTGGGCAGTATCTTTCCAGCAACAGGTAA,NF1,53.72,1525.0,0.402173913,0,PLX_2uM,0.4081894562058544 -3508,AGCCGGCAGTCAGGGGGCGGCCTCGGGGCG,CD15,38.87,206.0,0.131868132,0,nodrug,0.1463941617463275 -3509,TGGCGGCAGTCCAGGCGAAGGTTTTGGTTC,THY1,20.37,33.0,0.177419355,0,nodrug,0.2872010296780419 -3510,AGGTGGCAGTGGTGGTCGGAGGCAGGGTGG,MED12,57.97,1262.0,0.484848485,0,AZD_200nM,0.5332193222265236 -3511,AGGTGGCAGTGGTGGTCGGAGGCAGGGTGG,MED12,57.97,1262.0,0.5281385279999999,0,PLX_2uM,0.5332193222265236 -3512,GGCTGGCATCACTGAGGCACTGTACGGTCC,NF1,40.3,1144.0,0.7146739129999999,0,PLX_2uM,0.6074832628571318 -3513,CCTGGGCATCCTGGGGATCCTCCTGGGCGT,CD13,1.76,17.0,0.263736264,0,nodrug,0.4580494952617702 -3514,TGGTGGCATGGGTGGTGAGCCACTGGGACG,CD15,68.49,363.0,0.981684982,1,nodrug,0.5954574642301715 -3515,AGGCGGCCAAGAAGAACTTAAGCGAGGCCC,TADA1,4.78,16.0,1.0,1,AZD_200nM,0.7090570002565819 -3516,TCCAGGCCAAGACCCAAACCCAGCGGGCCT,CD5,75.1,371.0,0.531380753,0,nodrug,0.5193278210322442 -3517,TCAAGGCCACAGCGATTCGCACGGAGGAGG,NF2,70.42,419.0,0.591928251,0,PLX_2uM,0.712142095082039 -3518,GATCGGCCACCACCGCCGCTACCACGGCTA,TADA2B,11.43,48.0,0.352631579,0,AZD_200nM,0.633569880880173 -3519,ACAGGGCCACTTCTAGTTTGGTCTGGGCTT,NF1,24.13,685.0,0.67798913,0,PLX_2uM,0.4403701365174971 -3520,GCCAGGCCAGAATTGCTTCTCTGCTGGAGG,NF1,30.08,854.0,0.6290760870000001,0,PLX_2uM,0.3783647378672778 -3521,ACGTGGCCAGACCTGGAGACAAGGTGGCTG,CCDC101,54.95,161.0,0.691275168,0,AZD_200nM,0.7031256045411498 -3522,TACCGGCCAGGGCCTGCAGGAAGTGGGGGC,MED12,9.74,212.0,0.695887446,0,AZD_200nM,0.518425866042383 -3523,TACCGGCCAGGGCCTGCAGGAAGTGGGGGC,MED12,9.74,212.0,0.680735931,0,PLX_2uM,0.518425866042383 -3524,CGAGGGCCAGTTACTAGAGACATCAGGTTT,NF1,66.75,1895.0,0.539402174,0,PLX_2uM,0.5006539137551903 -3525,TCTAGGCCATCCCTGTCATCAATCGGGCAC,CD13,67.94,657.0,0.110989011,0,nodrug,0.5198491117466901 -3526,GCATGGCCCACTCCGTGGTCTGCTGGGTGC,MED12,71.34,1553.0,0.41341991299999997,0,AZD_200nM,0.4421936477536754 -3527,GCATGGCCCACTCCGTGGTCTGCTGGGTGC,MED12,71.34,1553.0,0.566017316,0,PLX_2uM,0.4421936477536754 -3528,AAAAGGCCCAGATCACCGAGGAGGAGGCAA,NF2,66.05,393.0,0.313901345,0,PLX_2uM,0.477488507159911 -3529,TACAGGCCCCTGTCATTGGGGGTGAGGTAC,CD13,9.72,94.0,0.065934066,0,nodrug,0.5326915838382444 -3530,TGGGGGCCCGAGGCCGAGGGCGGCTGGACC,TADA2B,16.43,69.0,0.589473684,0,AZD_200nM,0.306902597062207 -3531,CAGTGGCCCGCTACAAGTTCTACCTGGCTT,CD15,77.36,410.0,0.465201465,0,nodrug,0.5133175711118397 -3532,GCCAGGCCCGCTGGGTTTGGGTCTTGGCCT,CD5,74.49,368.0,0.037656904,0,nodrug,0.2699001703873929 -3533,TCTGGGCCCGGCCCAGTGCCATTGCGGCGG,CD13,31.95,309.0,0.523076923,0,nodrug,0.5604723314143734 -3534,TCCCGGCCCGGTACTCACCCGCGCGGGTCT,H2-K,5.69,21.0,0.727810651,0,nodrug,0.5818542335860996 -3535,TTTTGGCCGAATCTTGGTGTGTTGGGGGAT,NF1,64.88,1842.0,0.7228260870000001,0,PLX_2uM,0.5031673489985389 -3536,TGGTGGCCGAGGCGGGGTTGGTGGTGGCTG,CD13,5.89,57.0,0.307692308,0,nodrug,0.3598667501277996 -3537,TGGCGGCCGCCGGCTTGACGTGTACGGCGC,CD15,30.75,163.0,0.289377289,0,nodrug,0.5029011939220104 -3538,TCTGGGCCGGCGTGTTGATCTCCGAGGCGG,CD13,47.67,461.0,0.8120879120000001,1,nodrug,0.6837566227019026 -3539,GAGTGGCCGGGTTCTAGAGTGCCAGGGATG,CD33,41.48,151.0,0.896103896,1,nodrug,0.657724211142406 -3540,AATGGGCCTCACCTGGCTCGGCCTCGGTGC,NF2,33.11,197.0,0.049327354000000004,0,PLX_2uM,0.40198311107330725 -3541,TCGGGGCCTCCCATCGAATTGGCAAGGGCC,CD5,47.37,234.0,0.112970711,0,nodrug,0.4957880627585608 -3542,AGGGGGCCTCCGCTGGGACAGGTGTGGTCT,TADA2B,32.38,136.0,0.6947368420000001,0,AZD_200nM,0.5874613276551103 -3543,CCAGGGCCTCGCTTAAGTTCTTCTTGGCCG,TADA1,3.88,13.0,0.311926606,0,AZD_200nM,0.26420768154481994 -3544,GCCAGGCCTGAGGGCGGGTCGCCGGGGTGG,CD15,64.15,340.0,0.15018315,0,nodrug,0.38366072453654626 -3545,GATTGGCCTGCCAGACTTCAACGCCGGCGC,CD13,36.19,350.0,0.808791209,1,nodrug,0.6297912242576791 -3546,TCGAGGCCTTGAAACTGAAAGAGAGGGAGA,NF2,92.94,553.0,0.13004484300000002,0,PLX_2uM,0.44978178011618647 -3547,TTCTGGCCTTTGGATTTGCCCTTCTGGACA,CD45,1.42,16.0,0.14801444,0,nodrug,0.13020913634679848 -3548,CTGGGGCGAAGGAAAGCAGACTTATGGAGA,CD45,80.35,908.0,0.6678700360000001,0,nodrug,0.38162273746041503 -3549,CAATGGCGACCTTTGTGAGCGAGCTGGAGG,TADA1,2.09,7.0,0.899082569,1,AZD_200nM,0.5422403994938212 -3550,GGTTGGCGACGCCCAGGGCAGCGGCGGCAG,CD15,33.58,178.0,0.307692308,0,nodrug,0.45718581904438366 -3551,TAGCGGCGATAGACCGCGGGGTTGCGGTCG,CD15,90.19,478.0,0.608058608,0,nodrug,0.3535642500156261 -3552,CCTGGGCGATAGCGTTGCAGTAGACGGTGG,CD13,82.42,797.0,0.026373626,0,nodrug,0.4361117606263203 -3553,CTCTGGCGCAACGCGTTGCTCGCTGGGGCG,CD15,81.7,433.0,0.091575092,0,nodrug,0.3013217420062517 -3554,TCCAGGCGCACACTGCCGAGGAGGTGGATC,CD15,49.43,262.0,0.23809523800000001,0,nodrug,0.4849979327535522 -3555,TTGTGGCGCCAGAGGCAAAAGCGGAGGACT,CD43,70.13,277.0,0.362318841,0,nodrug,0.6080522267709836 -3556,TCTCGGCGCCGGCCGAGAAGCACTCGGGGC,TADA2B,8.33,35.0,0.447368421,0,AZD_200nM,0.50585379759158 -3557,GGGCGGCGCGGGTGGCGCCGAGGCCGGGGG,CD15,27.55,146.0,0.135531136,0,nodrug,0.19715818711225538 -3558,TCGGGGCGCTATCGCGCCCCCCGAAGGGCT,CD15,37.55,199.0,0.036630037000000004,0,nodrug,0.4093352638758935 -3559,AGCCGGCGGCCGCCAGCACACAGACGGTCC,CD15,29.06,154.0,0.571428571,0,nodrug,0.5290012287139252 -3560,AGCAGGCGGCTCCTCATCTTCTGGGGGCAG,MED12,80.25,1747.0,0.38961039,0,AZD_200nM,0.5180900434911696 -3561,AGCAGGCGGCTCCTCATCTTCTGGGGGCAG,MED12,80.25,1747.0,0.481601732,0,PLX_2uM,0.5180900434911696 -3562,ACCAGGCGGCTCTGAACCTTGGGCTGGAAA,CD5,55.06,272.0,0.288702929,0,nodrug,0.5263856954239109 -3563,GGACGGCGGGCGCTTCACGCTCTGGGGGCC,TADA2B,14.52,61.0,0.8,0,AZD_200nM,0.5263315116496984 -3564,CAGTGGCGGGGCCAGGCCTGAGGGCGGGTC,CD15,64.91,344.0,0.413919414,0,nodrug,0.4742305297737644 -3565,CCGAGGCGGGGTTGGTGGTGGCTGAGGCGG,CD13,5.69,55.0,0.158241758,0,nodrug,0.3660066438854377 -3566,GAGGGGCGGGTAACATTGGAATCGGGGTCA,CD13,59.05,571.0,0.503296703,0,nodrug,0.5758059215292496 -3567,CCGAGGCGGGTGTGGACAGCGGGTGGGAGG,CD13,46.95,454.0,0.8890109890000001,1,nodrug,0.6067534386756095 -3568,GGCCGGCGTGTTGATCTCCGAGGCGGGTGT,CD13,47.57,460.0,0.768131868,0,nodrug,0.5378771962978204 -3569,TGTTGGCGTTCTTGTTCTTCTCCTGGGAGT,CD13,3.72,36.0,0.30109890100000003,0,nodrug,0.46027261775735445 -3570,AAAAGGCTAATACTTCAATTTGTTTGGAGT,CD45,11.77,133.0,0.12274368199999999,0,nodrug,0.3347548007947192 -3571,CCACGGCTACCAGCTGGTGGACGGCGGGCG,TADA2B,13.1,55.0,0.6421052629999999,0,AZD_200nM,0.6226742253369896 -3572,GCTCGGCTACTACAACCAGAGCAAGGGCGG,H2-K,29.54,109.0,0.213017751,0,nodrug,0.5872856756964949 -3573,TTTTGGCTAGTTGCGTGAGTGGCTTGGTGC,MED12,5.74,125.0,0.7207792209999999,0,AZD_200nM,0.5032673199766512 -3574,TTTTGGCTAGTTGCGTGAGTGGCTTGGTGC,MED12,5.74,125.0,0.7521645020000001,0,PLX_2uM,0.5032673199766512 -3575,TGTTGGCTCAGTTGGTGGTAGTAGCGGACC,CD15,70.38,373.0,0.43223443200000006,0,nodrug,0.5922346078961847 -3576,TCCAGGCTCATGGATTTCCTGGCTCGGGGA,NF1,88.69,2518.0,0.375,0,PLX_2uM,0.33173887291669335 -3577,AAGTGGCTCCAATTCCAAGTGTCAGGGTCA,CD5,8.7,43.0,0.953974895,1,nodrug,0.6201711126164601 -3578,CAGTGGCTCCAGGTAATAGGCGCGGGGCCG,MED12,79.74,1736.0,0.510822511,0,AZD_200nM,0.545916262145533 -3579,CAGTGGCTCCAGGTAATAGGCGCGGGGCCG,MED12,79.74,1736.0,0.443722944,0,PLX_2uM,0.545916262145533 -3580,ACAGGGCTCCCTTATCGATACCAAGGGCAA,MED12,76.25,1660.0,0.6461038960000001,0,AZD_200nM,0.6172890724483937 -3581,ACAGGGCTCCCTTATCGATACCAAGGGCAA,MED12,76.25,1660.0,0.58982684,0,PLX_2uM,0.6172890724483937 -3582,CCCTGGCTCCGACTCAGACCCGCGCGGGTG,H2-K,5.42,20.0,0.9822485209999999,1,nodrug,0.6598162327549879 -3583,TGTGGGCTCCGGCACGGTGGTGGGTGGGGT,CD5,29.96,148.0,0.527196653,0,nodrug,0.339416855069158 -3584,CAAAGGCTCCTAAAAGGCAAGAAATGGAAT,NF1,90.1,2558.0,0.042119565,0,PLX_2uM,0.2611202890417266 -3585,GTGGGGCTCGCCGACGGCGGCGGCGGGCGG,CD15,25.66,136.0,0.183150183,0,nodrug,0.3300087665848176 -3586,CTCAGGCTCTAGCAGGGTAGGAGCAGGCGG,MED12,80.57,1754.0,0.425324675,0,AZD_200nM,0.43486314672287174 -3587,CTCAGGCTCTAGCAGGGTAGGAGCAGGCGG,MED12,80.57,1754.0,0.354978355,0,PLX_2uM,0.43486314672287174 -3588,GGGAGGCTGACCCTGTGGTAGGGTGGGTGT,CD33,82.69,301.0,0.17099567100000002,0,nodrug,0.44045442592523215 -3589,TGCAGGCTGACTGCCTCTTGAGAATGGCTT,NF1,12.86,365.0,0.440217391,0,PLX_2uM,0.49886263233402334 -3590,TGGTGGCTGAGGCGGACGGGGTGGTGGAGG,CD13,5.17,50.0,0.20989011,0,nodrug,0.30201772256666 -3591,TATTGGCTGATCGGTTTGAGAGATTGGTGG,NF1,42.51,1207.0,0.012228261,0,PLX_2uM,0.40757878377904194 -3592,CCCTGGCTGCAGAACTGTCACACAGGGCCT,CD5,60.93,301.0,0.7196652720000001,0,nodrug,0.648041889539776 -3593,AGGTGGCTGCCCGGGTGAAGGCCGTGGATG,CCDC101,57.34,168.0,0.46308724799999995,0,AZD_200nM,0.4918728120985666 -3594,GGCTGGCTGCTACTGACCTCCTGCAGGTGG,CD13,53.98,522.0,0.44065934100000004,0,nodrug,0.5105362016793968 -3595,CGGGGGCTGCTCCACCCAGTACTGAGGAAC,MED12,81.72,1779.0,0.564935065,0,AZD_200nM,0.5799922364936302 -3596,CGGGGGCTGCTCCACCCAGTACTGAGGAAC,MED12,81.72,1779.0,0.462121212,0,PLX_2uM,0.5799922364936302 -3597,TGGAGGCTGCTTTACCCGCTGTGGGGGCGC,CCDC101,86.69,254.0,1.0,1,AZD_200nM,0.5231680484254775 -3598,GTAAGGCTGGCTGGAGTAGCTGGGGGGCAC,MED12,90.35,1967.0,0.17857142899999998,0,AZD_200nM,0.33367701911834763 -3599,GTAAGGCTGGCTGGAGTAGCTGGGGGGCAC,MED12,90.35,1967.0,0.161255411,0,PLX_2uM,0.33367701911834763 -3600,GTCAGGCTGGTCACCTTCTGCCCTCGGGAC,THY1,11.73,19.0,0.064516129,0,nodrug,0.41133907111414025 -3601,CTCTGGCTGTGAAGTGGGGTCCGACGGGCG,H2-K,34.15,126.0,0.343195266,0,nodrug,0.40610564521508435 -3602,CTGTGGCTGTGCTGCAGCTTGATGAGGTCA,NF1,81.93,2326.0,0.418478261,0,PLX_2uM,0.46844158211139036 -3603,GTCTGGCTTATATCCAACACTTCGTGGGGT,HPRT1,78.44,171.0,0.15625,0,6TG_2ug/mL,0.3929611418148068 -3604,TTGGGGCTTCCTGCGACCAGTGTCAGGAAG,MED12,4.09,89.0,0.403679654,0,AZD_200nM,0.4492008950378371 -3605,TTGGGGCTTCCTGCGACCAGTGTCAGGAAG,MED12,4.09,89.0,0.38961039,0,PLX_2uM,0.4492008950378371 -3606,GACTGGCTTCCTTTGTGCCCTTGGGGGAGT,NF1,29.83,847.0,0.451086957,0,PLX_2uM,0.42578802833414464 -3607,CTTTGGCTTCTGGAAATGTGAAATTGGTTT,NF1,72.0,2044.0,0.12364130400000001,0,PLX_2uM,0.23026518910763727 -3608,CGCCGGCTTGCCTACTTCTGTACACGGAGA,MED12,13.87,302.0,0.911255411,1,AZD_200nM,0.6703322307222684 -3609,CGCCGGCTTGCCTACTTCTGTACACGGAGA,MED12,13.87,302.0,0.9339826840000001,1,PLX_2uM,0.6703322307222684 -3610,CACAGGCTTGGTCTTGCTGCTGCTGGGCAT,MED12,64.77,1410.0,0.269480519,0,AZD_200nM,0.48498524232118495 -3611,CACAGGCTTGGTCTTGCTGCTGCTGGGCAT,MED12,64.77,1410.0,0.29220779199999997,0,PLX_2uM,0.48498524232118495 -3612,TCTGGGCTTGTCGGCAAATCGGGGGGGTTC,NF1,23.88,678.0,0.703804348,0,PLX_2uM,0.5690990133328042 -3613,CCTTGGCTTTAGAAGAGGACCTGAAGGTAT,NF1,61.18,1737.0,0.77173913,0,PLX_2uM,0.600512915561641 -3614,GTGGGGCTTTCGGGCATCTTTGATGGGAAA,CD45,43.89,496.0,0.068592058,0,nodrug,0.4435894853124293 -3615,GGAAGGGAAAAGGGAACTCCTCTATGGTCA,NF1,23.46,666.0,0.222826087,0,PLX_2uM,0.46733315359835026 -3616,TGCAGGGAAACAAGAGACCAGAGCAGGAGT,CD33,69.78,254.0,0.5844155839999999,0,nodrug,0.5358557325007899 -3617,TGAAGGGAAAGGACCAAGGGCCAAGGGGTC,CD5,18.22,90.0,0.983263598,1,nodrug,0.5734053754267792 -3618,GCTTGGGAAGATACACATGCAAAATGGGAA,NF1,27.58,783.0,0.13858695699999998,0,PLX_2uM,0.2710005376268275 -3619,TTCCGGGAAGGAGCCATTATATCCAGGGAC,CD33,18.68,68.0,0.229437229,0,nodrug,0.4504952469710435 -3620,GCTGGGGAATAGTACCTGGGGGATGGGAAA,MED12,34.04,741.0,0.645021645,0,AZD_200nM,0.4622704510921114 -3621,GCTGGGGAATAGTACCTGGGGGATGGGAAA,MED12,34.04,741.0,0.602813853,0,PLX_2uM,0.4622704510921114 -3622,ACTTGGGACCGCACAGTTGCTGTGTGGCTT,CD5,87.65,433.0,0.439330544,0,nodrug,0.5897956005978124 -3623,GCTGGGGAGATTTGTAACTGTATTTGGTAC,CD33,34.89,127.0,0.036796537000000004,0,nodrug,0.18111631790149563 -3624,AAATGGGAGCACTGGGAGCAGAAAGGGAGC,MED12,25.68,559.0,0.598484848,0,AZD_200nM,0.4833024088202654 -3625,AAATGGGAGCACTGGGAGCAGAAAGGGAGC,MED12,25.68,559.0,0.563852814,0,PLX_2uM,0.4833024088202654 -3626,CACTGGGAGCAGAAAGGGAGCCAGAGGCGA,MED12,25.54,556.0,0.395021645,0,AZD_200nM,0.601837744620778 -3627,CACTGGGAGCAGAAAGGGAGCCAGAGGCGA,MED12,25.54,556.0,0.386363636,0,PLX_2uM,0.601837744620778 -3628,GGCTGGGAGCCTCCCACACCACGCAGGACC,CD13,14.48,140.0,0.674725275,0,nodrug,0.6706656942670227 -3629,CGCGGGGAGGACATGGCCGCGCACAGGCCG,NF1,0.14,4.0,0.548913043,0,PLX_2uM,0.5239581009064948 -3630,ATGTGGGAGGAGAGAATTACTGCTTGGTAC,NF2,31.93,190.0,0.547085202,0,PLX_2uM,0.6081481022035355 -3631,ATGAGGGAGGAGGCTGAACGCACGAGGGAT,NF2,59.16,352.0,0.493273543,0,PLX_2uM,0.582461840813309 -3632,TTCTGGGAGGCAGCCAGCAGGTGGCGGTCG,MED12,55.4,1206.0,0.529220779,0,AZD_200nM,0.5561191286844138 -3633,TTCTGGGAGGCAGCCAGCAGGTGGCGGTCG,MED12,55.4,1206.0,0.826839827,1,PLX_2uM,0.5561191286844138 -3634,ACCGGGGAGGCTGACCCTGTGGTAGGGTGG,CD33,82.97,302.0,0.103896104,0,nodrug,0.46804728127741546 -3635,TTATGGGATCTTGGGTAGACGTCGTGGATG,CD43,58.48,231.0,0.485507246,0,nodrug,0.6263841356455994 -3636,GGCAGGGATGGCCCCACAGAGGGGTGGGGG,CCDC101,49.15,144.0,0.046979865999999995,0,AZD_200nM,0.2985976334962544 -3637,AACTGGGATTGTGGTCTGCCCCCAGGGGCT,CD43,16.71,66.0,0.130434783,0,nodrug,0.46426132392089475 -3638,CGCGGGGCACAAAGCGCTCGTAGTTGGCAC,CD15,84.34,447.0,0.710622711,0,nodrug,0.4989059154485378 -3639,CCAGGGGCACAGGGTGGTCCTGCGTGGTGT,CD13,14.37,139.0,0.472527473,0,nodrug,0.6478215998348303 -3640,CTCAGGGCAGATTCCGCCTCCTTGGGGATC,CD33,25.55,93.0,0.6861471859999999,0,nodrug,0.6109221440751283 -3641,GCCGGGGCAGCCGGTGCCCGAAATTGGGCT,CD15,74.91,397.0,0.051282050999999995,0,nodrug,0.13885245947118116 -3642,GCGGGGGCAGCGGGGTGGTGAGGCTGGGTG,TADA2B,35.0,147.0,0.031578947,0,AZD_200nM,0.27760126412039565 -3643,GAAAGGGCAGGATGAACAACGCGAGGGACT,MED12,68.72,1496.0,0.7489177490000001,0,AZD_200nM,0.6711352670969343 -3644,GAAAGGGCAGGATGAACAACGCGAGGGACT,MED12,68.72,1496.0,0.694805195,0,PLX_2uM,0.6711352670969343 -3645,AGGTGGGCAGTTTAGCAATGAGGGGGGCCA,MED12,65.73,1431.0,0.775974026,0,AZD_200nM,0.7476824747574418 -3646,AGGTGGGCAGTTTAGCAATGAGGGGGGCCA,MED12,65.73,1431.0,0.695887446,0,PLX_2uM,0.7476824747574418 -3647,CCCTGGGCATCCTGGGGATCCTCCTGGGCG,CD13,1.76,17.0,0.02967033,0,nodrug,0.33007620755554345 -3648,TCAGGGGCCACTAAAAGAAACGATCGGTGA,CD45,76.81,868.0,0.967509025,1,nodrug,0.6086154032475581 -3649,TACAGGGCCACTTCTAGTTTGGTCTGGGCT,NF1,24.13,685.0,0.96875,1,PLX_2uM,0.3822494530514487 -3650,CCTGGGGCCAGGCCCGCTGGGTTTGGGTCT,CD5,74.9,370.0,0.163179916,0,nodrug,0.17763795992808248 -3651,TTTAGGGCCATTAGTTTCATAAGGAGGACC,CD45,29.65,335.0,0.953068592,1,nodrug,0.6339571224176838 -3652,TCTGGGGCCCTCGAGTGAGATGCATGGACT,CD43,50.63,200.0,0.956521739,1,nodrug,0.6372414180421826 -3653,CACTGGGCCGCTGTTGCAGGTGGCGGGTAG,MED12,91.41,1990.0,0.244588745,0,AZD_200nM,0.25788339888570105 -3654,CACTGGGCCGCTGTTGCAGGTGGCGGGTAG,MED12,91.41,1990.0,0.34956709999999996,0,PLX_2uM,0.25788339888570105 -3655,CACAGGGCCTCCCACTGTGATCTCTGGCGC,CD5,59.51,294.0,0.271966527,0,nodrug,0.43606138076624495 -3656,CAGCGGGCCTGGCCCCAGGCACTGTGGCAA,CD5,76.52,378.0,0.8577405859999999,1,nodrug,0.6369405183420317 -3657,ACCCGGGCCTGGCGCTCGTCCCAGTGGCTC,CD15,68.68,364.0,0.857142857,1,nodrug,0.6049907914984602 -3658,CCCAGGGCGAGATCTTCTGTTTGGTGGAAA,MED12,77.26,1682.0,0.33982684,0,AZD_200nM,0.4335930477962683 -3659,CCCAGGGCGAGATCTTCTGTTTGGTGGAAA,MED12,77.26,1682.0,0.31168831199999997,0,PLX_2uM,0.4335930477962683 -3660,GGGCGGGCGGCGCGGGTGGCGCCGAGGCCG,CD15,27.17,144.0,0.073260073,0,nodrug,0.2997055771635516 -3661,CCGAGGGCGGCTGGACCAGTCGCGAGGAGC,TADA2B,17.38,73.0,0.794736842,0,AZD_200nM,0.6425259018667406 -3662,TGAGGGGCGGGTAACATTGGAATCGGGGTC,CD13,59.15,572.0,0.254945055,0,nodrug,0.4128125760976505 -3663,TGTTGGGCGTACAGGTACCTACATTGGAAT,CD45,60.97,689.0,0.797833935,0,nodrug,0.6188261828895792 -3664,ACCGGGGCTCCCCGAGGCCGGGCCGGGACA,H2-K,9.76,36.0,0.053254438,0,nodrug,0.28830299109575175 -3665,CACAGGGCTCCCTTATCGATACCAAGGGCA,MED12,76.25,1660.0,0.49134199100000003,0,AZD_200nM,0.5795226089987578 -3666,CACAGGGCTCCCTTATCGATACCAAGGGCA,MED12,76.25,1660.0,0.444805195,0,PLX_2uM,0.5795226089987578 -3667,CGTGGGGCTCGCCGACGGCGGCGGCGGGCG,CD15,25.66,136.0,0.146520147,0,nodrug,0.22943176195272183 -3668,GACAGGGCTGTCAGGTCCTTGGGGTGGATA,CD13,24.82,240.0,0.795604396,0,nodrug,0.6305015935923866 -3669,AGTCGGGCTGTGACAGTTCCCAGCGGGTCC,NF1,64.49,1831.0,0.945652174,1,PLX_2uM,0.5854256949177937 -3670,AGATGGGCTTCCCGGTCATCACGGTGGATA,CD13,57.19,553.0,0.8472527470000001,1,nodrug,0.7524588749277676 -3671,AAAGGGGCTTGAAGTTAATGTCAAAGGTGA,NF1,50.83,1443.0,0.922554348,1,PLX_2uM,0.6178929468435299 -3672,GTCTGGGCTTGTCGGCAAATCGGGGGGGTT,NF1,23.88,678.0,0.15896739099999999,0,PLX_2uM,0.3978794848569045 -3673,TGTGGGGCTTTCGGGCATCTTTGATGGGAA,CD45,43.89,496.0,0.057761732999999996,0,nodrug,0.2774098231270247 -3674,TGCTGGGGAATAGTACCTGGGGGATGGGAA,MED12,34.04,741.0,0.143939394,0,AZD_200nM,0.43823728752438 -3675,TGCTGGGGAATAGTACCTGGGGGATGGGAA,MED12,34.04,741.0,0.12012987,0,PLX_2uM,0.43823728752438 -3676,AACAGGGGACATAAAAGTAATTGGTGGAGA,HPRT1,53.67,117.0,0.625,0,6TG_2ug/mL,0.639069209059094 -3677,CACCGGGGAGGCTGACCCTGTGGTAGGGTG,CD33,83.24,303.0,0.12121212099999999,0,nodrug,0.42844013437602857 -3678,AACTGGGGAGTTCTTGTCGTAGTAGGGTAT,CD33,13.74,50.0,0.67965368,0,nodrug,0.6055748532249844 -3679,GGTTGGGGATGGTGTCGGGGATGCAGGCCT,TADA2B,29.52,124.0,0.042105263,0,AZD_200nM,0.37957589634112077 -3680,CTGGGGGGCACCATGGTACCTGCAGGGCCT,MED12,90.03,1960.0,0.293290043,0,AZD_200nM,0.3704277297657994 -3681,CTGGGGGGCACCATGGTACCTGCAGGGCCT,MED12,90.03,1960.0,0.538961039,0,PLX_2uM,0.3704277297657994 -3682,TCTGGGGGCAGTGGCAGTGGCTCCAGGTAA,MED12,79.93,1740.0,0.202380952,0,AZD_200nM,0.32937014399040876 -3683,TCTGGGGGCAGTGGCAGTGGCTCCAGGTAA,MED12,79.93,1740.0,0.28354978399999997,0,PLX_2uM,0.32937014399040876 -3684,GCCTGGGGCCAGGCCCGCTGGGTTTGGGTC,CD5,75.1,371.0,0.10460251,0,nodrug,0.1130860809007444 -3685,TCGGGGGGCCCCTTCACGAGGTCGCGGTGG,CD15,45.47,241.0,0.904761905,1,nodrug,0.5005343432864611 -3686,GTGTGGGGCCTCTATCACAGAACTTGGACC,MED12,62.01,1350.0,0.818181818,1,AZD_200nM,0.5960524161705673 -3687,GTGTGGGGCCTCTATCACAGAACTTGGACC,MED12,62.01,1350.0,0.7510822509999999,0,PLX_2uM,0.5960524161705673 -3688,TGTGGGGGCGCATGGATCAGGGCGCGGTAG,CCDC101,84.3,247.0,0.40939597299999997,0,AZD_200nM,0.42260842787113806 -3689,CTGAGGGGCGGGTAACATTGGAATCGGGGT,CD13,59.15,572.0,0.31098901100000004,0,nodrug,0.4625736779505454 -3690,CGCTGGGGCGGTGCCGGTGGTGCTGGGCCC,CD15,82.83,439.0,0.282051282,0,nodrug,0.28693287255307764 -3691,GTGAGGGGCTCAGGCAGCCCCTGATGGTAC,H2-K,77.24,285.0,0.01183432,0,nodrug,0.46666608528980363 -3692,AGTGGGGGCTGTGGTTCCACGATAGGGCCC,MED12,10.06,219.0,0.41233766200000005,0,AZD_200nM,0.5432881424884969 -3693,AGTGGGGGCTGTGGTTCCACGATAGGGCCC,MED12,10.06,219.0,0.432900433,0,PLX_2uM,0.5432881424884969 -3694,GAGCGGGGGAAGATGGCGGAGCTGGGGAAG,TADA2B,0.95,4.0,0.5210526320000001,0,AZD_200nM,0.4486608709957661 -3695,TCGAGGGGGAGTTGGCAGATGACCTGGCGG,CD13,19.54,189.0,0.416483516,0,nodrug,0.4656828000599021 -3696,GCTGGGGGGCACCATGGTACCTGCAGGGCC,MED12,90.08,1961.0,0.34307359299999995,0,AZD_200nM,0.25202835216371006 -3697,GCTGGGGGGCACCATGGTACCTGCAGGGCC,MED12,90.08,1961.0,0.33008658,0,PLX_2uM,0.25202835216371006 -3698,GGTCGGGGGCAGCAGTGTGTGTGAGGGCAT,CD5,57.69,285.0,0.548117155,0,nodrug,0.5805326984181093 -3699,TTCGGGGGGCGCGATAGCGCCCCGAGGCCG,CD15,38.68,205.0,0.003663004,0,nodrug,0.6199870799314839 -3700,AAGTGGGGGCTGTGGTTCCACGATAGGGCC,MED12,10.01,218.0,0.319264069,0,AZD_200nM,0.47952664011893625 -3701,AAGTGGGGGCTGTGGTTCCACGATAGGGCC,MED12,10.01,218.0,0.277056277,0,PLX_2uM,0.47952664011893625 -3702,GCCAGGGGGTTCCGCAGCAAAACCTGGAAA,TADA1,27.46,92.0,0.449541284,0,AZD_200nM,0.4881015993864566 -3703,GTTTGGGGTCCTGAGGGTAAACATCGGGAG,MED12,1.1,24.0,0.722943723,0,AZD_200nM,0.6491103431231207 -3704,GTTTGGGGTCCTGAGGGTAAACATCGGGAG,MED12,1.1,24.0,0.66991342,0,PLX_2uM,0.6491103431231207 -3705,AAGAGGGGTGTGACCTGCTTCTTCAGGTAG,CD13,74.77,723.0,0.050549450999999995,0,nodrug,0.36995356944942837 -3706,AGGCGGGGTTGGTGGTGGCTGAGGCGGACG,CD13,5.58,54.0,0.362637363,0,nodrug,0.44153657573308996 -3707,GTCAGGGTCAAGTGGAGATCCAGATGGAAA,CD5,10.12,50.0,0.9790794979999999,1,nodrug,0.7131496233326843 -3708,AGGAGGGTCACTGGCTACATTTGATGGTTC,CD43,30.13,119.0,0.7246376809999999,0,nodrug,0.39931250759432746 -3709,TCTCGGGTCAGGCTGAACTCATGCTGGATG,THY1,31.48,51.0,0.822580645,1,nodrug,0.5671618334115414 -3710,CCATGGGTCCAGTCAGTGAACGTAAGGGTT,NF1,30.75,873.0,0.5271739129999999,0,PLX_2uM,0.5301378834992568 -3711,TTTGGGGTCCTGAGGGTAAACATCGGGAGG,MED12,1.1,24.0,0.8138528140000001,1,AZD_200nM,0.5676881524553186 -3712,TTTGGGGTCCTGAGGGTAAACATCGGGAGG,MED12,1.1,24.0,0.6839826840000001,0,PLX_2uM,0.5676881524553186 -3713,GGGCGGGTCGCCGGGGTGGCTTCTGGGGTA,CD15,63.58,337.0,0.373626374,0,nodrug,0.28768559545988975 -3714,GGCTGGGTGAGAGGGGGCCTCCGCTGGGAC,TADA2B,33.33,140.0,0.178947368,0,AZD_200nM,0.2220729978885718 -3715,GTCCGGGTGCTCACGACAGGATATTGGCCC,CUL3,66.67,512.0,0.954545455,1,PLX_2uM,0.5343203153002324 -3716,TTGTGGGTGGAGGTGTCGTTCTCTGGGGCT,CD5,27.73,137.0,0.138075314,0,nodrug,0.35574902546011034 -3717,GCTGGGGTGGCACCATCCTCTACAAGGCCA,CD5,37.85,187.0,0.652719665,0,nodrug,0.5616749182435679 -3718,GGCAGGGTGGCCGCAACATCTCTGTGGAGA,MED12,58.29,1269.0,0.772727273,0,AZD_200nM,0.7095372679088926 -3719,GGCAGGGTGGCCGCAACATCTCTGTGGAGA,MED12,58.29,1269.0,0.769480519,0,PLX_2uM,0.7095372679088926 -3720,AGCGGGGTGGTGAGGCTGGGTGAGAGGGGG,TADA2B,34.29,144.0,0.342105263,0,AZD_200nM,0.3677172648729301 -3721,GTTTGGGTGGTGCAGGAGGTCCGGAGGCAC,MED12,83.56,1819.0,0.6655844160000001,0,AZD_200nM,0.4830642524461639 -3722,GTTTGGGTGGTGCAGGAGGTCCGGAGGCAC,MED12,83.56,1819.0,0.42207792200000005,0,PLX_2uM,0.4830642524461639 -3723,AGGCGGGTGTGGACAGCGGGTGGGAGGAGG,CD13,46.85,453.0,0.51978022,0,nodrug,0.47453434097848585 -3724,CCATGGGTTTGTGGCTCAAACTTCTGGCCT,CD45,0.8,9.0,0.187725632,0,nodrug,0.2546927982057699 -3725,ACCTGGGTTTGTTTGATCAGCTGATGGAGC,CCDC101,6.48,19.0,0.234899329,0,AZD_200nM,0.48740701173413703 -3726,CATTGGTAAGCGCACAGGACGGTATGGGTC,MED12,85.39,1859.0,0.482683983,0,AZD_200nM,0.4669157229345397 -3727,CATTGGTAAGCGCACAGGACGGTATGGGTC,MED12,85.39,1859.0,0.541125541,0,PLX_2uM,0.4669157229345397 -3728,GGAGGGTAAGGAGATGTGGGAGTCAGGAGG,NF1,97.11,2757.0,0.160326087,0,PLX_2uM,0.06825545344111424 -3729,ACCCGGTAATAGCCCGTCACATTGAGGTTC,CD13,64.63,625.0,0.8505494509999999,1,nodrug,0.596165140461104 -3730,AACTGGTACAGCGGCCTCAGCTTCAGGCGC,TADA2B,61.43,258.0,0.236842105,0,AZD_200nM,0.35086299491928535 -3731,GTGAGGTACGGTCTCAGCGTCACCCGGTAG,CD13,9.0,87.0,0.823076923,1,nodrug,0.5998518622553842 -3732,AGATGGTAGAATACCTGACAGACTGGGTTA,NF1,36.88,1047.0,0.807065217,1,PLX_2uM,0.6220119514333536 -3733,AGCTGGTAGCCGTGGTAGCGGCGGTGGTGG,TADA2B,10.95,46.0,0.647368421,0,AZD_200nM,0.5256994197259871 -3734,TGGTGGTAGTAGCGGACCCGGGCCTGGCGC,CD15,69.62,369.0,0.106227106,0,nodrug,0.3599711485199565 -3735,AGGGGGTCAAAGAAACTGGGATTGTGGTCT,CD43,17.72,70.0,0.731884058,0,nodrug,0.6530863352705828 -3736,TCGGGGTCAAGGAGGAAGTGCTCCTGGGAA,CD13,58.32,564.0,0.274725275,0,nodrug,0.4443993431748375 -3737,CCGTGGTCAGCCGCTTCGACGAGCAGGTAA,NF1,0.67,19.0,0.027173912999999997,0,PLX_2uM,0.5331609708436028 -3738,TGGAGGTCAGTCCATGTCCATAGGTGGGGG,MED12,92.15,2006.0,0.353896104,0,AZD_200nM,0.30609850347969886 -3739,TGGAGGTCAGTCCATGTCCATAGGTGGGGG,MED12,92.15,2006.0,0.28138528100000004,0,PLX_2uM,0.30609850347969886 -3740,TCAGGGTCATAAATGTGAAGCCCCAGGGCA,NF2,40.34,240.0,0.8789237670000001,1,PLX_2uM,0.5642861937280003 -3741,TGTTGGTCATAATGTGAAAGGTGCTGGAAC,MED12,38.36,835.0,0.692640693,0,AZD_200nM,0.560770262560896 -3742,TGTTGGTCATAATGTGAAAGGTGCTGGAAC,MED12,38.36,835.0,0.746753247,0,PLX_2uM,0.560770262560896 -3743,AGACGGTCATTGTTGAATGATTCCAGGAGG,CUL3,46.61,358.0,0.519480519,0,PLX_2uM,0.46396654474491894 -3744,GACTGGTCCAGCCGCCCTCGGCCTCGGGCC,TADA2B,15.71,66.0,0.15789473699999998,0,AZD_200nM,0.31543990150881285 -3745,CATGGGTCCAGTCAGTGAACGTAAGGGTTC,NF1,30.75,873.0,0.701086957,0,PLX_2uM,0.6786413795079821 -3746,CAAGGGTCCCTTCAATCTTCTCCTTGGGTG,MED12,32.89,716.0,0.385281385,0,AZD_200nM,0.3616058209495996 -3747,CAAGGGTCCCTTCAATCTTCTCCTTGGGTG,MED12,32.89,716.0,0.365800866,0,PLX_2uM,0.3616058209495996 -3748,ATGTGGTCCTCCTTATGAAACTAATGGCCC,CD45,29.82,337.0,0.162454874,0,nodrug,0.4744965992601254 -3749,TTGAGGTCCTGAATCATAGACACCAGGTCT,CD45,85.31,964.0,0.685920578,0,nodrug,0.5819884450764197 -3750,CAACGGTCGCCATGTTGGAGACAGTGGATG,H2-K,81.84,302.0,0.295857988,0,nodrug,0.49407884701312516 -3751,GGCGGGTCGCCGGGGTGGCTTCTGGGGTAG,CD15,63.4,336.0,0.6190476189999999,0,nodrug,0.49305571593649006 -3752,CGCGGGTCTGAGTCGGAGCCAGGGCGGCCG,H2-K,3.79,14.0,0.917159763,1,nodrug,0.7451359337307607 -3753,TTGTGGTCTGCCCCCAGGGGCTGATGGTCT,CD43,15.95,63.0,0.985507246,1,nodrug,0.5601487641585253 -3754,CCATGGTCTGGCCAGCTGGTGAATTGGATA,CD45,56.81,642.0,0.397111913,0,nodrug,0.47061208338714466 -3755,GACTGGTCTGGCCGACAGTTGGATAGGTGG,NF1,88.38,2509.0,0.30298913,0,PLX_2uM,0.47011191989145523 -3756,CTGGGGTCTGTTCAATGAAGGGAAAGGACC,CD5,19.23,95.0,0.974895397,1,nodrug,0.645809396789295 -3757,GCCTGGTGAACCAAAACCTTCGCCTGGACT,THY1,21.6,35.0,0.161290323,0,nodrug,0.5580886723093885 -3758,GCTGGGTGAGAGGGGGCCTCCGCTGGGACA,TADA2B,33.33,140.0,0.5,0,AZD_200nM,0.5052769727816201 -3759,TTCAGGTGATCTCTGGCTGTGAAGTGGGGT,H2-K,33.33,123.0,0.6982248520000001,0,nodrug,0.5505984509582379 -3760,TGGTGGTGCACCTCAAGGGCTCCCTGGTGA,CD13,17.48,169.0,0.214285714,0,nodrug,0.5269270092386636 -3761,ATCTGGTGCCAGCCTTCCTGGGGAAGGACA,TADA2B,55.71,234.0,0.7105263159999999,0,AZD_200nM,0.5332917772368362 -3762,TACTGGTGCCCATGCTTATTGCCTTGGTGG,CD43,65.06,257.0,0.304347826,0,nodrug,0.4753428495342197 -3763,GGTGGGTGCTCTGGTAAGGCTGGCTGGAGT,MED12,90.54,1971.0,0.012987013,0,AZD_200nM,0.16942915805434894 -3764,GGTGGGTGCTCTGGTAAGGCTGGCTGGAGT,MED12,90.54,1971.0,0.07792207799999999,0,PLX_2uM,0.16942915805434894 -3765,GGCCGGTGCTGAGGGCACATAAGCAGGTCA,MED12,16.08,350.0,0.138528139,0,AZD_200nM,0.5317720261099625 -3766,GGCCGGTGCTGAGGGCACATAAGCAGGTCA,MED12,16.08,350.0,0.085497835,0,PLX_2uM,0.5317720261099625 -3767,AGAAGGTGCTGGAAGCCGAGGTGCTGGCAC,NF2,73.11,435.0,0.224215247,0,PLX_2uM,0.4309803812247083 -3768,CAACGGTGCTGGAATTGGGTTCATGGGCTG,NF2,81.51,485.0,0.30941704,0,PLX_2uM,0.45278917710012534 -3769,GATTGGTGGAACTGGTCACAATGATGGGTG,NF1,42.76,1214.0,0.9701086959999999,1,PLX_2uM,0.5229114693367043 -3770,GGCCGGTGGAATGGGTCCAGGCCGTGGTCA,NF1,0.42,12.0,0.54076087,0,PLX_2uM,0.4897050035084346 -3771,AGCTGGTGGAGCCCACCGAGTACCTGGTGG,CD13,16.65,161.0,0.479120879,0,nodrug,0.5140493037274524 -3772,TGTGGGTGGAGGTGTCGTTCTCTGGGGCTC,CD5,27.73,137.0,0.422594142,0,nodrug,0.626371687337148 -3773,GAGGGGTGGCAGACACTCACCGAGTGGTCT,CD13,67.32,651.0,0.954945055,1,nodrug,0.7149668067444949 -3774,GGGTGGTGGCCACTACACAGATGCAGGCTG,CD13,21.92,212.0,0.47032967,0,nodrug,0.5906538799798982 -3775,AGGTGGTGGCCGAGGCGGGGTTGGTGGTGG,CD13,6.0,58.0,0.14285714300000002,0,nodrug,0.37539871312876744 -3776,AGCAGGTGGCGGTCGCAGGAGGAGCGGATT,MED12,55.17,1201.0,0.715367965,0,AZD_200nM,0.6665135107476465 -3777,AGCAGGTGGCGGTCGCAGGAGGAGCGGATT,MED12,55.17,1201.0,0.755411255,0,PLX_2uM,0.6665135107476465 -3778,TGGTGGTGGCTGAGGCGGACGGGGTGGTGG,CD13,5.27,51.0,0.33846153799999995,0,nodrug,0.47726547186300283 -3779,CTGAGGTGGGCAGTTTAGCAATGAGGGGGG,MED12,65.78,1432.0,0.914502165,1,AZD_200nM,0.6112223472311011 -3780,CTGAGGTGGGCAGTTTAGCAATGAGGGGGG,MED12,65.78,1432.0,0.79978355,0,PLX_2uM,0.6112223472311011 -3781,GACCGGTGGGCGTGCTGCTGTGGTGGGAGC,CD15,36.6,194.0,0.84981685,1,nodrug,0.5774729650217563 -3782,AGCGGGTGGGGATGCTTTACTTGTTGGACT,MED12,72.39,1576.0,0.38203463200000004,0,AZD_200nM,0.3694396632766604 -3783,AGCGGGTGGGGATGCTTTACTTGTTGGACT,MED12,72.39,1576.0,0.399350649,0,PLX_2uM,0.3694396632766604 -3784,GGGAGGTGGGGGCAGCTGACAACCAGGAGA,CD33,49.45,180.0,0.696969697,0,nodrug,0.5444552979557263 -3785,GGCAGGTGGGGGGCATGTTTGACACGGTGC,MED12,70.97,1545.0,0.45995671,0,AZD_200nM,0.5602588983793269 -3786,GGCAGGTGGGGGGCATGTTTGACACGGTGC,MED12,70.97,1545.0,0.637445887,0,PLX_2uM,0.5602588983793269 -3787,GAAGGGTGGGTGCTCTGGTAAGGCTGGCTG,MED12,90.58,1972.0,0.26623376600000004,0,AZD_200nM,0.21970181468030697 -3788,GAAGGGTGGGTGCTCTGGTAAGGCTGGCTG,MED12,90.58,1972.0,0.21861471899999999,0,PLX_2uM,0.21970181468030697 -3789,GCGGGGTGGTGAGGCTGGGTGAGAGGGGGC,TADA2B,34.29,144.0,0.221052632,0,AZD_200nM,0.3986540012307101 -3790,CCAAGGTGGTGGCCGAGGCGGGGTTGGTGG,CD13,6.1,59.0,0.256043956,0,nodrug,0.39603892111821826 -3791,GGTTGGTGGTGGCTGAGGCGGACGGGGTGG,CD13,5.38,52.0,0.313186813,0,nodrug,0.35842625603652123 -3792,GCACGGTGGTGGGTGGGGTGGTTGTGGGTG,CD5,29.15,144.0,0.050209205,0,nodrug,0.18948343335463286 -3793,TATGGGTGTATTAGGGATCATCTACGGCAA,CUL3,20.96,161.0,0.941558442,1,PLX_2uM,0.6381597208125658 -3794,CTGTGGTGTCATTGCTATGTGAATGGGCTG,MED12,23.38,509.0,0.70021645,0,AZD_200nM,0.5719498846884434 -3795,CTGTGGTGTCATTGCTATGTGAATGGGCTG,MED12,23.38,509.0,0.654761905,0,PLX_2uM,0.5719498846884434 -3796,GACAGGTGTGGTCTGTCACGCGGTTGGGGA,TADA2B,31.19,131.0,0.757894737,0,AZD_200nM,0.4502820058543026 -3797,CACAGGTGTGGTGGAATTCTACAATGGCAG,CD5,35.83,177.0,0.928870293,1,nodrug,0.6943816308906472 -3798,TAATGGTGTGTAACCATGAGAAAGTGGGAC,NF1,31.98,908.0,0.758152174,0,PLX_2uM,0.6885071114457713 -3799,TCTTGGTGTGTTGGGGGATAGAGTCGGGCT,NF1,64.74,1838.0,0.370923913,0,PLX_2uM,0.5272510628364172 -3800,ACCTGGTGTTGGTCATAATGTGAAAGGTGC,MED12,38.45,837.0,0.988095238,1,AZD_200nM,0.6678229744554205 -3801,ACCTGGTGTTGGTCATAATGTGAAAGGTGC,MED12,38.45,837.0,0.984848485,1,PLX_2uM,0.6678229744554205 -3802,TTTTGGTTCACCAGGCAGGCTGTCAGGCTG,THY1,16.05,26.0,0.09677419400000001,0,nodrug,0.40980028375231864 -3803,CCAAGGTTCAGAGCCGCCTGGTCGGGGGCA,CD5,56.48,279.0,0.485355649,0,nodrug,0.43663349217315917 -3804,GAAAGGTTCAGGCTTCACTGTGACAGGAGG,MED12,57.05,1242.0,0.363636364,0,AZD_200nM,0.5458286737986415 -3805,GAAAGGTTCAGGCTTCACTGTGACAGGAGG,MED12,57.05,1242.0,0.30194805199999997,0,PLX_2uM,0.5458286737986415 -3806,CACAGGTTCAGGTAGATGGTGTTCTGGTAG,CD13,52.84,511.0,0.282417582,0,nodrug,0.42853594359905683 -3807,TCAGGGTTCCACAGAAACATGTACAGGGCC,NF1,24.37,692.0,0.944293478,1,PLX_2uM,0.5624608619527697 -3808,GGAAGGTTCCATCCCCTGCAGGCCTGGTCT,H2-K,69.38,256.0,0.041420118,0,nodrug,0.32680827333882806 -3809,ATGCGGTTCTGGGAGGCAGCCAGCAGGTGG,MED12,55.49,1208.0,0.884199134,1,AZD_200nM,0.5634915220039092 -3810,ATGCGGTTCTGGGAGGCAGCCAGCAGGTGG,MED12,55.49,1208.0,0.866883117,1,PLX_2uM,0.5634915220039092 -3811,GCGGGGTTGCGGTCGAGGAAAAGCAGGTAC,CD15,89.25,473.0,0.8205128209999999,1,nodrug,0.49791219284807553 -3812,TTAAGGTTGGCAGTGATACTAAGCTGGCTC,NF1,97.57,2770.0,0.635869565,0,PLX_2uM,0.21930842653622606 -3813,CCAGGGTTGGTGTCACTCACTTGTTGGTGG,CCDC101,64.51,189.0,0.375838926,0,AZD_200nM,0.39512806847630555 -3814,CCCCGTAAAAAAGGAGAAAGTGACAGGAAC,NF1,21.94,623.0,0.60326087,0,PLX_2uM,0.5828301727764023 -3815,GAAAGTAACAACGTGGAAGAGGTAGGGAAG,NF1,74.08,2103.0,0.949728261,1,PLX_2uM,0.5809718301496514 -3816,ACCAGTAACATGCCACTTGATTCTTGGCTT,CD43,62.03,245.0,0.123188406,0,nodrug,0.33670315452452465 -3817,TTCAGTAAGAAGGAAGAGGTGTTTGGGTAC,MED12,6.57,143.0,0.7478354979999999,0,AZD_200nM,0.46879236887815184 -3818,TTCAGTAAGAAGGAAGAGGTGTTTGGGTAC,MED12,6.57,143.0,0.843073593,1,PLX_2uM,0.46879236887815184 -3819,ATTGGTAAGCGCACAGGACGGTATGGGTCC,MED12,85.35,1858.0,0.5324675320000001,0,AZD_200nM,0.542523322460617 -3820,ATTGGTAAGCGCACAGGACGGTATGGGTCC,MED12,85.35,1858.0,0.506493506,0,PLX_2uM,0.542523322460617 -3821,TCTGGTAAGGCTGGCTGGAGTAGCTGGGGG,MED12,90.4,1968.0,0.027056277000000004,0,AZD_200nM,0.10242459271054925 -3822,TCTGGTAAGGCTGGCTGGAGTAGCTGGGGG,MED12,90.4,1968.0,0.024891775,0,PLX_2uM,0.10242459271054925 -3823,TCACGTAATGCTCCATCACCTCTTGGGGAG,TADA2B,25.0,105.0,0.068421053,0,AZD_200nM,0.48223424565527095 -3824,TACAGTAATTACCTTATTAAGAAGTGGCTG,NF1,81.19,2305.0,0.235054348,0,PLX_2uM,0.45242203971787853 -3825,TGCAGTACACAATCAAGGACACAGTGGCCT,NF2,11.93,71.0,0.977578475,1,PLX_2uM,0.8781464454273844 -3826,GCCGGTACACAGAGGTCTTATAAGAGGAGG,MED12,86.95,1893.0,0.449134199,0,AZD_200nM,0.4859944803364545 -3827,GCCGGTACACAGAGGTCTTATAAGAGGAGG,MED12,86.95,1893.0,0.36688311700000004,0,PLX_2uM,0.4859944803364545 -3828,GGCAGTACAGCAGAATTAATTACAGGGCTC,NF1,18.56,527.0,0.980978261,1,PLX_2uM,0.7002459450556631 -3829,AAACGTACAGGCCCCTGTCATTGGGGGTGA,CD13,9.93,96.0,0.759340659,0,nodrug,0.6880516037045025 -3830,ACATGTACAGGGCCACTTCTAGTTTGGTCT,NF1,24.2,687.0,0.14673913,0,PLX_2uM,0.4110028076258727 -3831,CCCGGTACATGGAAGTCGGCTACGTGGACG,H2-K,13.01,48.0,0.934911243,1,nodrug,0.7483946868045268 -3832,CCATGTACCGGGGCTCCCCGAGGCCGGGCC,H2-K,10.3,38.0,0.390532544,0,nodrug,0.4090247833793859 -3833,GACCGTACCTCACCCCCAATGACAGGGGCC,CD13,10.03,97.0,0.40439560399999996,0,nodrug,0.6150530807820696 -3834,TGGAGTACCTGGGTGCTGACTATGCGGAGC,CD13,43.85,424.0,0.558241758,0,nodrug,0.7278936837980601 -3835,CCGAGTACCTGGTGGTGCACCTCAAGGGCT,CD13,17.17,166.0,0.537362637,0,nodrug,0.5807033902131247 -3836,GCAAGTACGTGGACATCTTGGGCGTGGTGT,CD13,28.23,273.0,0.843956044,1,nodrug,0.6291534917902593 -3837,CTACGTACTCCTGGAGCCTCTCTCCGGAAG,NF1,23.18,658.0,0.36548913,0,PLX_2uM,0.5579950153121258 -3838,TTGTGTACTGCAGTCCAAAGAACCAGGTTT,NF2,10.25,61.0,0.484304933,0,PLX_2uM,0.6259451128500435 -3839,CTCAGTACTGGGTGGAGCAGCCCCCGGTTT,MED12,81.49,1774.0,0.388528139,0,AZD_200nM,0.5158353908765211 -3840,CTCAGTACTGGGTGGAGCAGCCCCCGGTTT,MED12,81.49,1774.0,0.364718615,0,PLX_2uM,0.5158353908765211 -3841,ACTTGTACTTAACTCCTAGGGCCCCGGGAT,CD45,49.03,554.0,0.812274368,1,nodrug,0.5544918000370487 -3842,AGAGGTACTTGGAGCTGTGATATGTGGGGT,CD43,8.61,34.0,0.97826087,1,nodrug,0.6430328266789125 -3843,TCTTGTAGACCAGAGGACCACACATGGCCA,CD5,80.16,396.0,0.849372385,1,nodrug,0.6615187514933349 -3844,TGCAGTAGACGGTGGACCGCAGGTTGGGGT,CD13,81.9,792.0,0.8736263740000001,1,nodrug,0.6202328261304499 -3845,TGAGGTAGATGACATCGATGAAGAAGGCAA,CCDC101,67.24,197.0,0.44295302,0,AZD_200nM,0.5664842225887409 -3846,CTTAGTAGCACAGAAATTCTCAAGTGGTTG,NF1,21.06,598.0,0.49048913,0,PLX_2uM,0.6207382364821639 -3847,ATGTGTAGCAGAAATCTTATATCGCGGTGT,CD45,17.26,195.0,0.97833935,1,nodrug,0.792078292476183 -3848,CATTGTAGCCCTCTGTGTGCTCAAGGGGGG,HPRT1,31.19,68.0,0.671875,0,6TG_2ug/mL,0.5593872694772004 -3849,CCACGTAGCCGACTTCCATGTACCGGGGCT,H2-K,11.65,43.0,0.8934911240000001,1,nodrug,0.5662160548751123 -3850,CCAGGTAGCTAGGAAGGCGGCTTTTGGAGG,TADA2B,93.1,391.0,0.18947368399999998,0,AZD_200nM,0.20689184463388793 -3851,TGAAGTAGCTCAGGCTGCTCAGGGCGGCCT,CD13,72.29,699.0,0.9318681320000001,1,nodrug,0.7029227979746849 -3852,TAGTGTAGCTGCCCACCAGATCCGAGGATT,MED12,41.94,913.0,0.7186147190000001,0,AZD_200nM,0.7292605539368857 -3853,TAGTGTAGCTGCCCACCAGATCCGAGGATT,MED12,41.94,913.0,0.75,0,PLX_2uM,0.7292605539368857 -3854,CAATGTAGCTGGCATTTATGTAGGTGGACC,CD45,47.17,533.0,0.7184115520000001,0,nodrug,0.6644866717663853 -3855,TCTGGTAGGCAAAGGTGTGGAGGTAGGACT,CD13,52.12,504.0,0.612087912,0,nodrug,0.6602591115544468 -3856,AGTGGTAGGGGTCCGTACTCAGCATGGGAG,MED12,26.69,581.0,0.941558442,1,AZD_200nM,0.6443652691719983 -3857,AGTGGTAGGGGTCCGTACTCAGCATGGGAG,MED12,26.69,581.0,1.0,1,PLX_2uM,0.6443652691719983 -3858,AAAAGTAGTCGCCCTCATCCTTGGTGGTGA,THY1,60.49,98.0,0.548387097,0,nodrug,0.6189025420052358 -3859,CCACGTAGTCTCCTGAGGCAGGGATGGCCC,CCDC101,50.85,149.0,0.395973154,0,AZD_200nM,0.5668623809606053 -3860,AATTGTAGTGGACCTTACCCATACCGGGCC,NF1,58.01,1647.0,0.627717391,0,PLX_2uM,0.598372930512692 -3861,GGCAGTATAATCCAAAGATGGTCAAGGTCG,HPRT1,72.48,158.0,0.9375,1,6TG_2ug/mL,0.6077639780288556 -3862,CTTGGTATCGATAAGGGAGCCCTGTGGCTC,MED12,76.02,1655.0,0.739177489,0,AZD_200nM,0.6445314851767107 -3863,CTTGGTATCGATAAGGGAGCCCTGTGGCTC,MED12,76.02,1655.0,0.689393939,0,PLX_2uM,0.6445314851767107 -3864,CCACGTATCTCTGAGCCACATTGAGGGGAG,CCDC101,94.88,278.0,0.610738255,0,AZD_200nM,0.5316522561149174 -3865,ATTTGTATCTTTCAGAGCATTCCACGGGTA,CD45,43.1,487.0,0.913357401,1,nodrug,0.6635040017866196 -3866,GTGTGTATGTACAACAAAATAATGTGGAGA,CUL3,17.58,135.0,0.396103896,0,PLX_2uM,0.6916497277527816 -3867,CCTGGTATTCAGCCTCCAGAGGGGAGGGGT,CD45,68.05,769.0,0.55234657,0,nodrug,0.5064131482919638 -3868,TGGCGTCAAACAGCTCACTGATCTGGGCCG,CD13,48.4,468.0,0.479120879,0,nodrug,0.5100009399494425 -3869,CGGGGTCAAGGAGGAAGTGCTCCTGGGAAA,CD13,58.32,564.0,0.524175824,0,nodrug,0.5655353360498155 -3870,ACTGGTCACAATGATGGGTGATCAAGGAGA,NF1,42.87,1217.0,0.467391304,0,PLX_2uM,0.5206168178756096 -3871,ACCTGTCACATGCACAGAGAGCTGGGGAGA,CD33,36.81,134.0,0.915584416,1,nodrug,0.6743291035421669 -3872,TTTCGTCACCGCCGTGTCCCGGCCCGGCCT,H2-K,9.49,35.0,0.50295858,0,nodrug,0.4869323615939028 -3873,CAGGGTCACTTACTTCCATCAGACTGGCAA,MED12,54.66,1190.0,0.7510822509999999,0,AZD_200nM,0.6142670165937877 -3874,CAGGGTCACTTACTTCCATCAGACTGGCAA,MED12,54.66,1190.0,0.6655844160000001,0,PLX_2uM,0.6142670165937877 -3875,GTTCGTCAGAAAAAGCAGCGTCAGTGGATT,CD5,84.01,415.0,0.230125523,0,nodrug,0.48297299900069024 -3876,CTCTGTCAGCAATATGATGTCAACAGGTAA,NF1,26.38,749.0,0.080163043,0,PLX_2uM,0.42973664610163487 -3877,TGATGTCAGCAGGGTAGAAGCCCAGGGCCC,H2-K,61.79,228.0,0.106508876,0,nodrug,0.6685267719713168 -3878,TTTTGTCAGCATCCACCGTGTGGAAGGAGA,CD5,66.4,328.0,0.20083682,0,nodrug,0.5184476043306605 -3879,GGTTGTCAGCTGCCCCCACCTCCCTGGGCC,CD33,51.1,186.0,0.18614718600000002,0,nodrug,0.3167937765954363 -3880,TGGGGTCAGGGACAGTGGACTCGAAGGAGA,CD43,14.68,58.0,0.688405797,0,nodrug,0.5879471524576516 -3881,GAATGTCAGGTCTCCAGGATTCAGAGGCAC,MED12,36.75,800.0,0.19372294399999998,0,AZD_200nM,0.6052973843126854 -3882,GAATGTCAGGTCTCCAGGATTCAGAGGCAC,MED12,36.75,800.0,0.198051948,0,PLX_2uM,0.6052973843126854 -3883,GGAGGTCAGTCCATGTCCATAGGTGGGGGC,MED12,92.15,2006.0,0.323593074,0,AZD_200nM,0.2663231697242754 -3884,GGAGGTCAGTCCATGTCCATAGGTGGGGGC,MED12,92.15,2006.0,0.23051948100000003,0,PLX_2uM,0.2663231697242754 -3885,CCAAGTCAGTGAACCAAGTGTTAATGGCAC,MED12,5.24,114.0,0.17965368,0,AZD_200nM,0.2768409636267861 -3886,CCAAGTCAGTGAACCAAGTGTTAATGGCAC,MED12,5.24,114.0,0.14285714300000002,0,PLX_2uM,0.2768409636267861 -3887,CAGGGTCATAAATGTGAAGCCCCAGGGCAT,NF2,40.34,240.0,0.67264574,0,PLX_2uM,0.6208019125458474 -3888,AGAAGTCATCAACTGTCTCATCCCGGGGCC,CD45,49.2,556.0,0.660649819,0,nodrug,0.5134608376281289 -3889,AGATGTCATCACGTGTGAGCCACAGGGCTC,MED12,75.93,1653.0,0.8593073590000001,1,AZD_200nM,0.6246431486842093 -3890,AGATGTCATCACGTGTGAGCCACAGGGCTC,MED12,75.93,1653.0,0.896103896,1,PLX_2uM,0.6246431486842093 -3891,CTGGGTCATCGGCAGGATCATCAAAGGGAG,MED12,29.31,638.0,0.541125541,0,AZD_200nM,0.5804253390216081 -3892,CTGGGTCATCGGCAGGATCATCAAAGGGAG,MED12,29.31,638.0,0.49891774899999997,0,PLX_2uM,0.5804253390216081 -3893,TGCAGTCCAAAGAACCAGGTTTCTCGGAGC,NF2,9.75,58.0,0.331838565,0,PLX_2uM,0.44044499416331695 -3894,CCCCGTCCAACCTGCCCATGCCAGAGGGTA,MED12,18.7,407.0,0.826839827,1,AZD_200nM,0.6330431307687049 -3895,CCCCGTCCAACCTGCCCATGCCAGAGGGTA,MED12,18.7,407.0,0.838744589,1,PLX_2uM,0.6330431307687049 -3896,TTTGGTCCAAGGTGGTGGCCGAGGCGGGGT,CD13,6.31,61.0,0.304395604,0,nodrug,0.4764478405031064 -3897,CTGTGTCCAGAAGGGCAAATCCAAAGGCCA,CD45,1.15,13.0,0.678700361,0,nodrug,0.6058489452525668 -3898,TGTAGTCCAGCAGCTACCTGGGGCTGGGAC,MED12,98.07,2135.0,0.11147186099999999,0,AZD_200nM,0.10002817917649164 -3899,TGTAGTCCAGCAGCTACCTGGGGCTGGGAC,MED12,98.07,2135.0,0.067099567,0,PLX_2uM,0.10002817917649164 -3900,ACTGGTCCAGCCGCCCTCGGCCTCGGGCCC,TADA2B,15.71,66.0,0.705263158,0,AZD_200nM,0.4284152415708445 -3901,CACTGTCCAGGAAACAGGGGCTGGTGGCAT,CD15,67.17,356.0,0.772893773,0,nodrug,0.5837045530814385 -3902,CCATGTCCAGGCTCATGGATTTCCTGGCTC,NF1,88.76,2520.0,0.09375,0,PLX_2uM,0.16598507794298517 -3903,CCATGTCCATAGGTGGGGGCCTGCTGGTGC,MED12,91.96,2002.0,0.128787879,0,AZD_200nM,0.15716832874810718 -3904,CCATGTCCATAGGTGGGGGCCTGCTGGTGC,MED12,91.96,2002.0,0.071428571,0,PLX_2uM,0.15716832874810718 -3905,CGGCGTCCATGGTGACGATCCTCACGGTGA,NF2,4.2,25.0,0.8071748879999999,1,PLX_2uM,0.625074842351973 -3906,TTCAGTCCATGGTGGTTGATCTTAAGGTAA,NF1,12.43,353.0,0.06929347799999999,0,PLX_2uM,0.3607079597613434 -3907,ACCAGTCCATGTGTGGAAGCTCTAAGGGAG,NF1,74.64,2119.0,0.17527173899999998,0,PLX_2uM,0.31541278237991305 -3908,GGTGGTCCCACAGGTTCAGGTAGATGGTGT,CD13,53.15,514.0,0.20989011,0,nodrug,0.40189651096541207 -3909,AGTGGTCCCATTGTGGTGCACTGCAGGTAA,CD45,60.09,679.0,0.523465704,0,nodrug,0.4957126883332056 -3910,AACTGTCCCCTCAGGTGGGGAGGATGGGCA,MED12,37.21,810.0,0.07792207799999999,0,AZD_200nM,0.3991310793362333 -3911,AACTGTCCCCTCAGGTGGGGAGGATGGGCA,MED12,37.21,810.0,0.076839827,0,PLX_2uM,0.3991310793362333 -3912,ACCTGTCCCGGTAACTGGAACGGAAGGCAA,NF1,76.75,2179.0,0.618206522,0,PLX_2uM,0.5271078833382346 -3913,AAGGGTCCCTTCAATCTTCTCCTTGGGTGG,MED12,32.89,716.0,0.159090909,0,AZD_200nM,0.33651167435894597 -3914,AAGGGTCCCTTCAATCTTCTCCTTGGGTGG,MED12,32.89,716.0,0.175324675,0,PLX_2uM,0.33651167435894597 -3915,TCCTGTCCGAGGACGTATTCAAGCAGGGCC,CD13,51.4,497.0,0.18021978,0,nodrug,0.5404205921165057 -3916,CTGTGTCCTCCAACTCCTGTATGAAGGAAG,CD45,69.03,780.0,0.682310469,0,nodrug,0.516482049369516 -3917,CCCTGTCCTCCTCCAGCAGCAACAAGGAGC,CD13,39.09,378.0,0.423076923,0,nodrug,0.6117852497384818 -3918,TCAGGTCCTCTTCTAAAGCCAAGGTGGCAG,NF1,60.97,1731.0,0.642663043,0,PLX_2uM,0.7131936464818545 -3919,AATGGTCCTGGCTCAGCCTCCAACTGGAAC,CD5,12.75,63.0,0.677824268,0,nodrug,0.4537464942894663 -3920,AGTAGTCCTGGGGCCCAGGGAGGTGGGGGC,CD33,51.1,186.0,0.244588745,0,nodrug,0.3864467425361442 -3921,TCTGGTCCTGGTTGAGGATGAGGCAGGCAT,MED12,43.04,937.0,0.845238095,1,AZD_200nM,0.6043239984702978 -3922,TCTGGTCCTGGTTGAGGATGAGGCAGGCAT,MED12,43.04,937.0,0.7813852809999999,0,PLX_2uM,0.6043239984702978 -3923,GCCTGTCCTTGGCCTTGTAGAGGATGGTGC,CD5,37.65,186.0,0.8117154809999999,1,nodrug,0.5215483678312788 -3924,CGTAGTCGAACTCACTGACAATGAAGGCCA,CD13,29.27,283.0,0.821978022,1,nodrug,0.5804919456049609 -3925,CCATGTCGAATCTGAGCAAAGGCACGGGCA,CUL3,0.91,7.0,0.37012987,0,PLX_2uM,0.5790697671235262 -3926,TGCGGTCGAGGAAAAGCAGGTACGAGGCCA,CD15,88.87,471.0,0.871794872,1,nodrug,0.5697634711540717 -3927,GGGAGTCGAGGGTGTGCTGCTAGTTGGGGG,MED12,15.57,339.0,0.07359307400000001,0,AZD_200nM,0.3392203451923679 -3928,GGGAGTCGAGGGTGTGCTGCTAGTTGGGGG,MED12,15.57,339.0,0.06601731599999999,0,PLX_2uM,0.3392203451923679 -3929,GGGCGTCGCCAACCCCGTCGCGACCGGTGG,CD15,35.28,187.0,0.33699633700000003,0,nodrug,0.4229734843170125 -3930,CGAGGTCGCGGTGGTGGAAAAGCACGGCCT,CD15,44.53,236.0,0.974358974,1,nodrug,0.6399409579766225 -3931,CATCGTCGTCCTCTGCAGACTGTCTGGGCT,CD43,5.32,21.0,0.079710145,0,nodrug,0.2860484063108068 -3932,GATGGTCGTGTCTTCACAGTACTCTGGGGA,MED12,13.0,283.0,0.53030303,0,AZD_200nM,0.47276778562557464 -3933,GATGGTCGTGTCTTCACAGTACTCTGGGGA,MED12,13.0,283.0,0.49134199100000003,0,PLX_2uM,0.47276778562557464 -3934,CCAAGTCTCACATCAACATTGCAGAGGAGA,MED12,51.22,1115.0,0.7781385279999999,0,AZD_200nM,0.6886091544625902 -3935,CCAAGTCTCACATCAACATTGCAGAGGAGA,MED12,51.22,1115.0,0.760822511,0,PLX_2uM,0.6886091544625902 -3936,AAAAGTCTCTCTCTCATAGGAGCCAGGAGA,NF1,77.18,2191.0,0.25951087,0,PLX_2uM,0.4473736976985243 -3937,TACTGTCTCTCTTCAATCAGGAAGAGGGTG,CD13,70.84,685.0,0.7065934070000001,0,nodrug,0.5547386908294736 -3938,CAGTGTCTGAATCAAATGTTCTCTTGGATG,NF1,91.72,2604.0,0.11277173900000001,0,PLX_2uM,0.20626361090917922 -3939,ATTTGTCTGACACAGACTCCCTACAGGAAT,NF1,29.38,834.0,0.24864130399999998,0,PLX_2uM,0.5849007673441645 -3940,TCAGGTCTGCTGTGATGGGTCACATGGGCC,H2-K,56.91,210.0,0.467455621,0,nodrug,0.4215139301098221 -3941,TTTGGTCTGGGCTTGTCGGCAAATCGGGGG,NF1,23.95,680.0,0.006793478,0,PLX_2uM,0.2942176043496117 -3942,TGTGGTCTGTCACGCGGTTGGGGATGGTGT,TADA2B,30.71,129.0,0.268421053,0,AZD_200nM,0.3796174895584085 -3943,GGGAGTCTGTGTCAGACAAATCTATGGATC,NF1,29.13,827.0,0.676630435,0,PLX_2uM,0.43097849143189254 -3944,GACCGTCTGTGTGCTGGCGGCCGCCGGCTT,CD15,29.81,158.0,0.6739926740000001,0,nodrug,0.4022189611764981 -3945,TGGGGTCTTCTGGAAGTGGGGTGCTGGGAC,CD13,26.47,256.0,0.17252747300000001,0,nodrug,0.21840172421337387 -3946,TGTAGTGAACAGGACTCTGAGCCAGGGGCC,MED12,53.61,1167.0,0.869047619,1,AZD_200nM,0.6379670411076853 -3947,TGTAGTGAACAGGACTCTGAGCCAGGGGCC,MED12,53.61,1167.0,0.857142857,1,PLX_2uM,0.6379670411076853 -3948,CTGAGTGAAGGCACTGTTACCCTCTGGCAT,MED12,18.79,409.0,0.88961039,1,AZD_200nM,0.6474967335036669 -3949,CTGAGTGAAGGCACTGTTACCCTCTGGCAT,MED12,18.79,409.0,0.9058441559999999,1,PLX_2uM,0.6474967335036669 -3950,GGCTGTGACAGTTCCCAGCGGGTCCGGATA,NF1,64.42,1829.0,0.987771739,1,PLX_2uM,0.5849577105581796 -3951,TGTAGTGAGACACAGCTCCCGTTCGGGGCC,CD5,48.79,241.0,0.326359833,0,nodrug,0.36209660910190583 -3952,TACTGTGAGGTACCTAAGAATGTCAGGTCT,MED12,36.98,805.0,0.24675324699999998,0,AZD_200nM,0.5394483090409431 -3953,TACTGTGAGGTACCTAAGAATGTCAGGTCT,MED12,36.98,805.0,0.188311688,0,PLX_2uM,0.5394483090409431 -3954,GCAAGTGAGGTCATGGAATTAGAAAGGTTA,NF1,97.89,2779.0,0.0027173909999999996,0,PLX_2uM,0.24506946182279404 -3955,AGGAGTGAGTAGTCCTGGGGCCCAGGGAGG,CD33,51.65,188.0,0.7662337659999999,0,nodrug,0.5653237101268759 -3956,GCTTGTGATACTTCATCCCTTCTGGGGAAG,CD45,86.73,980.0,0.440433213,0,nodrug,0.49706345480243486 -3957,GGATGTGATCACAATTCGTAATAAAGGATC,NF1,45.97,1305.0,0.05298913,0,PLX_2uM,0.3689962747489101 -3958,GAACGTGATCGACAAAAGCAGAAGAGGTAA,MED12,67.57,1471.0,0.590909091,0,AZD_200nM,0.5703755671869051 -3959,GAACGTGATCGACAAAAGCAGAAGAGGTAA,MED12,67.57,1471.0,0.6634199129999999,0,PLX_2uM,0.5703755671869051 -3960,TCAGGTGATCTCTGGCTGTGAAGTGGGGTC,H2-K,33.33,123.0,0.7218934909999999,0,nodrug,0.495611394760534 -3961,CTTGGTGATGATCTGAGTCCATTCTGGAGG,MED12,8.54,186.0,0.369047619,0,AZD_200nM,0.32732109347528116 -3962,CTTGGTGATGATCTGAGTCCATTCTGGAGG,MED12,8.54,186.0,0.325757576,0,PLX_2uM,0.32732109347528116 -3963,TGAGGTGCACCACCAGGTACTCGGTGGGCT,CD13,16.55,160.0,0.68021978,0,nodrug,0.6624228279261387 -3964,CCTGGTGCACCTGGCTGTAGAGGGAGGTAA,MED12,69.04,1503.0,0.5670995670000001,0,AZD_200nM,0.6485651178366212 -3965,CCTGGTGCACCTGGCTGTAGAGGGAGGTAA,MED12,69.04,1503.0,0.554112554,0,PLX_2uM,0.6485651178366212 -3966,TACCGTGCACGCTGCTCCTGCTGTTGGCGG,H2-K,2.44,9.0,0.680473373,0,nodrug,0.6074836205542009 -3967,CCAAGTGCAGAAGCAAAGAAGCGCTGGCAG,NF1,99.54,2826.0,0.038043478,0,PLX_2uM,0.1835723286584346 -3968,GCCAGTGCATCCACTGCCATCACGCGGTAC,CD13,45.81,443.0,0.958241758,1,nodrug,0.7485818276388709 -3969,ACCTGTGCCATCTGGTCCTGGTTGAGGATG,MED12,43.18,940.0,0.643939394,0,AZD_200nM,0.5009271634868218 -3970,ACCTGTGCCATCTGGTCCTGGTTGAGGATG,MED12,43.18,940.0,0.614718615,0,PLX_2uM,0.5009271634868218 -3971,TTATGTGCCCTCAGCACCGGCCCCTGGTTT,MED12,16.4,357.0,0.113636364,0,AZD_200nM,0.5074641927973091 -3972,TTATGTGCCCTCAGCACCGGCCCCTGGTTT,MED12,16.4,357.0,0.137445887,0,PLX_2uM,0.5074641927973091 -3973,GTTGGTGCCGTGGTCCTGGGGCCGTGGGGT,CD33,55.77,203.0,0.090909091,0,nodrug,0.35820777339677123 -3974,TCCTGTGCCTGCAGAAGGAGTTGGGGGAGC,MED12,74.6,1624.0,0.5129870129999999,0,AZD_200nM,0.540189144799876 -3975,TCCTGTGCCTGCAGAAGGAGTTGGGGGAGC,MED12,74.6,1624.0,0.284632035,0,PLX_2uM,0.540189144799876 -3976,CACAGTGCCTGGGGCCAGGCCCGCTGGGTT,CD5,75.51,373.0,0.075313808,0,nodrug,0.25085585570724106 -3977,TGGAGTGCTGCCCACAACCATGACTGGCGT,MED12,86.45,1882.0,0.537878788,0,AZD_200nM,0.48214806677027716 -3978,TGGAGTGCTGCCCACAACCATGACTGGCGT,MED12,86.45,1882.0,0.503246753,0,PLX_2uM,0.48214806677027716 -3979,GGGTGTGCTGCTAGTTGGGGGCTGAGGAGC,MED12,15.43,336.0,0.25,0,AZD_200nM,0.4727310915912766 -3980,GGGTGTGCTGCTAGTTGGGGGCTGAGGAGC,MED12,15.43,336.0,0.20887445899999998,0,PLX_2uM,0.4727310915912766 -3981,TTCAGTGCTTTGATGTAATCCAGCAGGTCA,HPRT1,36.24,79.0,0.578125,0,6TG_2ug/mL,0.5412844544277308 -3982,CCGTGTGGAACTCTCTGAAATAAATGGAGA,CD45,46.46,525.0,0.036101083,0,nodrug,0.3246744214034886 -3983,ATTGGTGGAACTGGTCACAATGATGGGTGA,NF1,42.76,1214.0,0.831521739,1,PLX_2uM,0.6025222666562354 -3984,ATGTGTGGAAGCTCTAAGGGAGAGCGGACC,NF1,74.57,2117.0,0.735054348,0,PLX_2uM,0.6027030626937586 -3985,CCCAGTGGAAGGCCAACCCGGAGACGGACC,CCDC101,75.43,221.0,0.718120805,0,AZD_200nM,0.47712926855811644 -3986,CGACGTGGAAGTCTGTGTCGGGAATGGGAA,CD28,31.65,69.0,0.081081081,0,nodrug,0.46833697539391256 -3987,CCGAGTGGACCGGCGAGTGGCTCGAGGAGA,MED12,78.78,1715.0,0.423160173,0,AZD_200nM,0.5216013757692648 -3988,CCGAGTGGACCGGCGAGTGGCTCGAGGAGA,MED12,78.78,1715.0,0.40259740299999996,0,PLX_2uM,0.5216013757692648 -3989,CCGAGTGGACCTGAGGACCCTGCTCGGCTA,H2-K,27.64,102.0,0.7633136090000001,0,nodrug,0.5949207372347571 -3990,AAACGTGGACGGCGGCGGACATGGCGGCGC,H2-K,43.09,159.0,0.6686390529999999,0,nodrug,0.6544557603824516 -3991,GACCGTGGACGTGTTCGGCCGGGGCGGGCC,CD15,73.21,388.0,0.6996336999999999,0,nodrug,0.5374910014533058 -3992,TAATGTGGAGAACGTCTACAATTTGGGATT,CUL3,18.36,141.0,0.428571429,0,PLX_2uM,0.3653058221721262 -3993,CTACGTGGAGAAGCAGGCATCCAATGGTGT,CD13,30.51,295.0,0.8890109890000001,1,nodrug,0.6259582793758058 -3994,TGCTGTGGATGATGATGACGTCAGTGGCCT,CD13,12.2,118.0,0.784615385,0,nodrug,0.6888430105025403 -3995,CGCCGTGGCCCGCCGCAATGGCACTGGGCC,CD13,31.85,308.0,0.32857142899999997,0,nodrug,0.2892030655191706 -3996,ATGGGTGGCGTACTGCACGTGTCGTGGCTG,MED12,33.58,731.0,0.95995671,1,AZD_200nM,0.6304010109651959 -3997,ATGGGTGGCGTACTGCACGTGTCGTGGCTG,MED12,33.58,731.0,0.9134199129999999,1,PLX_2uM,0.6304010109651959 -3998,GGCAGTGGCTCCAGGTAATAGGCGCGGGGC,MED12,79.74,1736.0,0.37229437200000004,0,AZD_200nM,0.5159672381594931 -3999,GGCAGTGGCTCCAGGTAATAGGCGCGGGGC,MED12,79.74,1736.0,0.409090909,0,PLX_2uM,0.5159672381594931 -4000,CTCTGTGGCTGAGCAGCAGCAGCTGGGCTA,TADA2B,38.81,163.0,0.8842105259999999,1,AZD_200nM,0.5689977264397326 -4001,GGTAGTGGCTGGTTCTGGGTGTACAGGCCT,MED12,84.61,1842.0,0.32683982699999997,0,AZD_200nM,0.3792188742770659 -4002,GGTAGTGGCTGGTTCTGGGTGTACAGGCCT,MED12,84.61,1842.0,0.297619048,0,PLX_2uM,0.3792188742770659 -4003,GGCAGTGGGATTACACCGAGAAGCTGGCCA,MED12,10.93,238.0,0.313852814,0,AZD_200nM,0.5574644127131214 -4004,GGCAGTGGGATTACACCGAGAAGCTGGCCA,MED12,10.93,238.0,0.306277056,0,PLX_2uM,0.5574644127131214 -4005,TCATGTGGGATTGCAGCAACACACAGGCCC,MED12,89.85,1956.0,0.420995671,0,AZD_200nM,0.45584288153952357 -4006,TCATGTGGGATTGCAGCAACACACAGGCCC,MED12,89.85,1956.0,0.308441558,0,PLX_2uM,0.45584288153952357 -4007,TGAGGTGGGCAGTTTAGCAATGAGGGGGGC,MED12,65.78,1432.0,0.9285714290000001,1,AZD_200nM,0.7030076526447517 -4008,TGAGGTGGGCAGTTTAGCAATGAGGGGGGC,MED12,65.78,1432.0,0.988095238,1,PLX_2uM,0.7030076526447517 -4009,ACCTGTGGGCTCCGGCACGGTGGTGGGTGG,CD5,30.16,149.0,0.447698745,0,nodrug,0.4687123396277634 -4010,TCAGGTGGGGAGGATGGGCAGAAGCGGCGA,MED12,37.39,814.0,0.439393939,0,AZD_200nM,0.5591751202439951 -4011,TCAGGTGGGGAGGATGGGCAGAAGCGGCGA,MED12,37.39,814.0,0.542207792,0,PLX_2uM,0.5591751202439951 -4012,CACCGTGGGGCTCGCCGACGGCGGCGGCGG,CD15,25.47,135.0,0.21978022,0,nodrug,0.36256952983857427 -4013,GAGTGTGGGTACCTACCATCACAAAGGATG,CD45,75.13,849.0,0.794223827,0,nodrug,0.6666120366297524 -4014,GGTGGTGGGTGGGGTGGTTGTGGGTGGAGG,CD5,28.95,143.0,0.225941423,0,nodrug,0.4319567632941629 -4015,CAGGGTGGTCCTGCGTGGTGTGGGAGGCTC,CD13,14.68,142.0,0.584615385,0,nodrug,0.564078760540389 -4016,CGGGGTGGTGAGGCTGGGTGAGAGGGGGCC,TADA2B,34.29,144.0,0.384210526,0,AZD_200nM,0.400287217861968 -4017,CCTGGTGGTGCTGCTGGCCATGTGTGGTCC,CD5,79.96,395.0,0.648535565,0,nodrug,0.4905522843166815 -4018,GGCGGTGGTGGCCGATCTCGGCGCCGGCCG,TADA2B,9.52,40.0,0.652631579,0,AZD_200nM,0.4987591549373318 -4019,CACGGTGGTGGGTGGGGTGGTTGTGGGTGG,CD5,29.15,144.0,0.19665272,0,nodrug,0.4163868104839104 -4020,TTAGGTGGTGTTGATCTTACAGTCCGGGTG,CUL3,65.76,505.0,0.668831169,0,PLX_2uM,0.5088414157973845 -4021,AGGAGTGGTTCATGGGGCCATTGGAGGAGC,CD33,71.98,262.0,0.662337662,0,nodrug,0.533987212699049 -4022,CTCCGTGTACAGAAGTAGGCAAGCCGGCGG,MED12,13.64,297.0,0.954545455,1,AZD_200nM,0.6580767921125198 -4023,CTCCGTGTACAGAAGTAGGCAAGCCGGCGG,MED12,13.64,297.0,0.930735931,1,PLX_2uM,0.6580767921125198 -4024,ATATGTGTATACTTTGCGATCCTCAGGTGT,CUL3,98.96,760.0,0.207792208,0,PLX_2uM,0.293142056686649 -4025,GCCTGTGTATCCAGAAACTGCAGGAGGACA,MED12,26.23,571.0,0.891774892,1,AZD_200nM,0.7345312412478959 -4026,GCCTGTGTATCCAGAAACTGCAGGAGGACA,MED12,26.23,571.0,0.834415584,1,PLX_2uM,0.7345312412478959 -4027,GTGAGTGTATGAGTTCCTATTTGAGGGAGC,CUL3,41.8,321.0,0.38961039,0,PLX_2uM,0.5347933618118554 -4028,CGCCGTGTCATCCCGCTGCCCCAGTGGAAG,CCDC101,73.38,215.0,0.738255034,0,AZD_200nM,0.543953348662433 -4029,CTCTGTGTCCTGGGCCTGTGAGCAGGGAAC,CD33,46.7,170.0,0.597402597,0,nodrug,0.5720945612509084 -4030,AGAGGTGTCTGATGGTGCAAGTGGAGGTAC,CD45,64.07,724.0,0.880866426,1,nodrug,0.6956707241543136 -4031,TGCGGTGTCTTGAAAAGGTGAAGGAGGATG,MED12,54.07,1177.0,0.989177489,1,AZD_200nM,0.7234394022711448 -4032,TGCGGTGTCTTGAAAAGGTGAAGGAGGATG,MED12,54.07,1177.0,0.9718614720000001,1,PLX_2uM,0.7234394022711448 -4033,TACGGTGTGAACTACTTTGCAATCCGGGTG,NF2,37.65,224.0,0.385650224,0,PLX_2uM,0.4769241718459474 -4034,CCCTGTGTGACAGTTCTGCAGCCAGGGGCC,CD5,61.94,306.0,0.28033472800000003,0,nodrug,0.42371680685637003 -4035,TGCAGTGTGCAAACAGCTGAGATGTGGTGA,CD5,17.0,84.0,0.937238494,1,nodrug,0.6889338138889363 -4036,CACTGTGTGCAGGAGCCCAATTTCGGGCAC,CD15,75.09,398.0,0.186813187,0,nodrug,0.31473158506877996 -4037,GGCAGTGTGCGCCTGGATGCCCCAGGGCGG,CD15,47.92,254.0,0.853479853,1,nodrug,0.59804311285984 -4038,TCAAGTGTGGCGGCATAAGCCTGCTGGTTC,THY1,83.95,136.0,0.48387096799999996,0,nodrug,0.48400568988068665 -4039,ACAGGTGTGGTCTGTCACGCGGTTGGGGAT,TADA2B,31.19,131.0,0.252631579,0,AZD_200nM,0.3198271025970417 -4040,AATGGTGTGTAACCATGAGAAAGTGGGACT,NF1,31.98,908.0,0.963315217,1,PLX_2uM,0.7371443447986838 -4041,CTTGGTGTGTTGGGGGATAGAGTCGGGCTG,NF1,64.74,1838.0,0.8451086959999999,1,PLX_2uM,0.5853732579101307 -4042,AGGTGTGTTATAGAACCAGGGTTTGGGTGG,MED12,83.83,1825.0,0.239177489,0,AZD_200nM,0.3145978321060927 -4043,AGGTGTGTTATAGAACCAGGGTTTGGGTGG,MED12,83.83,1825.0,0.22077922100000003,0,PLX_2uM,0.3145978321060927 -4044,GGACGTGTTCGGCCGGGGCGGGCCGGGGCA,CD15,73.58,390.0,0.157509158,0,nodrug,0.18291058806337762 -4045,CGCTGTGTTGGTTTACCACAGGCGAGGGAC,CUL3,82.68,635.0,0.435064935,0,PLX_2uM,0.5739796118413817 -4046,CACTGTTACAGTGGCCAGTGGTAGGGGAGA,NF1,98.77,2804.0,0.013586957,0,PLX_2uM,0.1620514591839308 -4047,CGTTGTTACTTTCTTAGTAGCCACAGGTCC,NF1,74.39,2112.0,0.480978261,0,PLX_2uM,0.46560507153869884 -4048,TCTCGTTAGAGCTTGTTGTCACAGTGGTGG,CD43,41.01,162.0,0.623188406,0,nodrug,0.6841424244588736 -4049,ACATGTTAGCACCAGCGATAAGAAGGGCTG,MED12,68.08,1482.0,0.583333333,0,AZD_200nM,0.6605802674451519 -4050,ACATGTTAGCACCAGCGATAAGAAGGGCTG,MED12,68.08,1482.0,0.562770563,0,PLX_2uM,0.6605802674451519 -4051,CGCAGTTAGCAGTTATAAATAGCCTGGAAA,NF1,7.57,215.0,0.10869565199999999,0,PLX_2uM,0.5365362949541918 -4052,AGAAGTTATCCTTCTGGTTCACTTGGGGCT,MED12,4.41,96.0,0.546536797,0,AZD_200nM,0.49821477442806383 -4053,AGAAGTTATCCTTCTGGTTCACTTGGGGCT,MED12,4.41,96.0,0.5324675320000001,0,PLX_2uM,0.49821477442806383 -4054,CTCCGTTATGGCGACCCGCAGCCCTGGCGT,HPRT1,2.29,5.0,0.875,1,6TG_2ug/mL,0.5469274801801473 -4055,AGTTGTTATTAAGAAACGTATTGAAGGACT,CUL3,97.01,745.0,0.753246753,0,PLX_2uM,0.3402189985829096 -4056,CAAGGTTCAGAGCCGCCTGGTCGGGGGCAG,CD5,56.48,279.0,0.656903766,0,nodrug,0.5677437196114099 -4057,AGCGGTTCATGATGTCCCGCACGGTGGTGG,CD13,55.43,536.0,0.978021978,1,nodrug,0.7414628816353798 -4058,CAGGGTTCCACAGAAACATGTACAGGGCCA,NF1,24.37,692.0,0.891304348,1,PLX_2uM,0.7503101077770721 -4059,GTTTGTTCCCTTAGTGCTGGTGTTGGGCGT,CD45,60.44,683.0,0.714801444,0,nodrug,0.5240786777003368 -4060,GTCTGTTCCTTCTACTATTTGTCTAGGGGG,CD28,81.19,177.0,0.43243243200000003,0,nodrug,0.3308168091477195 -4061,GTGAGTTCGACTACGTGGAGAAGCAGGCAT,CD13,30.2,292.0,0.702197802,0,nodrug,0.5791580254858235 -4062,TTCTGTTCGTCAGAAATTTGATGTAGGTTG,TADA1,32.84,110.0,0.357798165,0,AZD_200nM,0.5142727470414927 -4063,CCGGGTTCTAGAGTGCCAGGGATGAGGATT,CD33,40.93,149.0,0.5,0,nodrug,0.5565860716589615 -4064,TTATGTTCTATGCCCTCAGGATCCAGGGCT,MED12,30.27,659.0,0.149350649,0,AZD_200nM,0.40924390512730585 -4065,TTATGTTCTATGCCCTCAGGATCCAGGGCT,MED12,30.27,659.0,0.10822510800000001,0,PLX_2uM,0.40924390512730585 -4066,GCTGGTTCTGGGTGTACAGGCCTATGGAGC,MED12,84.52,1840.0,0.524891775,0,AZD_200nM,0.46276238682590043 -4067,GCTGGTTCTGGGTGTACAGGCCTATGGAGC,MED12,84.52,1840.0,0.519480519,0,PLX_2uM,0.46276238682590043 -4068,ATTGGTTCTTCCGTTGATTTGTCAAGGCAG,CUL3,32.94,253.0,0.616883117,0,PLX_2uM,0.5205958089226889 -4069,GGGAGTTCTTGTCGTAGTAGGGTATGGGAT,CD33,13.19,48.0,0.885281385,1,nodrug,0.4822446363813989 -4070,ATTTGTTCTTTAAATGGCTACAGGAGGTGT,MED12,45.11,982.0,0.8712121209999999,1,AZD_200nM,0.6810075389236393 -4071,ATTTGTTCTTTAAATGGCTACAGGAGGTGT,MED12,45.11,982.0,0.862554113,1,PLX_2uM,0.6810075389236393 -4072,GAACGTTGAACTCTCCCCTACCACTGGCCA,NF1,98.77,2804.0,0.184782609,0,PLX_2uM,0.2734212920081623 -4073,CTCGGTTGAACTTCGAAATATGTTTGGTGA,NF1,15.57,442.0,0.275815217,0,PLX_2uM,0.4728722321056662 -4074,GCGTGTTGATCTCCGAGGCGGGTGTGGACA,CD13,47.36,458.0,0.640659341,0,nodrug,0.4801537317220372 -4075,CTCAGTTGATTATATTGGATACACTGGAAA,NF1,3.13,89.0,0.794836957,0,PLX_2uM,0.5239638986225679 -4076,CTTGGTTGCAGGGATGGATTATATTGGAAT,NF1,78.9,2240.0,0.221467391,0,PLX_2uM,0.2757203843764699 -4077,TCTTGTTGCCCTTGGTATCGATAAGGGAGC,MED12,76.16,1658.0,0.430735931,0,AZD_200nM,0.3905040569053518 -4078,TCTTGTTGCCCTTGGTATCGATAAGGGAGC,MED12,76.16,1658.0,0.384199134,0,PLX_2uM,0.3905040569053518 -4079,CCTCGTTGCTATCTACCACAAGCAGGGGCG,CD28,13.76,30.0,1.0,1,nodrug,0.6568762554435067 -4080,ACGCGTTGCTCGCTGGGGCGGTGCCGGTGG,CD15,82.26,436.0,0.706959707,0,nodrug,0.3415615024002296 -4081,CCTTGTTGCTGCTGGAGGAGGACAGGGGGT,CD13,38.57,373.0,0.6725274729999999,0,nodrug,0.4397485875595401 -4082,GACCGTTGCTGTTCTGGTTGTCCTTGGAGC,H2-K,84.82,313.0,0.615384615,0,nodrug,0.3807352435016472 -4083,GCGTGTTGGACTACGAGGAGGCAGCGGCGG,CD15,51.51,273.0,0.48351648399999997,0,nodrug,0.5803473336002881 -4084,CTCCGTTGGAGCAGGCGGTGCTGATGGCAT,CD13,78.39,758.0,0.881318681,1,nodrug,0.43522826446046 -4085,TGGTGTTGGAGGTGCACAAGTAACTGGCTC,CUL3,75.78,582.0,0.487012987,0,PLX_2uM,0.389348099001325 -4086,AGCTGTTGGCGAAGGCGCTGTCCTTGGGGC,MED12,87.64,1908.0,0.187229437,0,AZD_200nM,0.30285489635010443 -4087,AGCTGTTGGCGAAGGCGCTGTCCTTGGGGC,MED12,87.64,1908.0,0.16883116899999998,0,PLX_2uM,0.30285489635010443 -4088,CGGGGTTGGCGACGCCCAGGGCAGCGGCGG,CD15,33.77,179.0,0.39926739899999997,0,nodrug,0.3363968440526848 -4089,TCCAGTTGGGGTCTTCTGGAAGTGGGGTGC,CD13,26.68,258.0,0.615384615,0,nodrug,0.6159847399545161 -4090,ATATGTTGGTACTGGGCTGTGGCTGGGTAT,MED12,99.54,2167.0,0.20562770600000002,0,AZD_200nM,0.19128848580960892 -4091,ATATGTTGGTACTGGGCTGTGGCTGGGTAT,MED12,99.54,2167.0,0.166666667,0,PLX_2uM,0.19128848580960892 -4092,AGCGGTTGGTCGTACTGTTTGGGGTGGGAA,MED12,34.86,759.0,0.664502165,0,AZD_200nM,0.6111009429596586 -4093,AGCGGTTGGTCGTACTGTTTGGGGTGGGAA,MED12,34.86,759.0,0.572510823,0,PLX_2uM,0.6111009429596586 -4094,CTCAGTTGGTGGTAGTAGCGGACCCGGGCC,CD15,70.0,371.0,0.8241758240000001,1,nodrug,0.47389021882964316 -4095,AGCTGTTGTCTATGCTGTGGAGGTTGGTTT,TADA1,53.73,180.0,0.798165138,0,AZD_200nM,0.5722693436519566 -4096,CCTTGTTGTGCTCAGTACTGACTTTGGTAT,NF1,1.2,34.0,0.862771739,1,PLX_2uM,0.5348569892966112 -4097,ACTTGTTGTGGCCCTGGCAGGTGGGGGGCA,MED12,70.74,1540.0,0.784632035,0,AZD_200nM,0.45940993783882833 -4098,ACTTGTTGTGGCCCTGGCAGGTGGGGGGCA,MED12,70.74,1540.0,0.892857143,1,PLX_2uM,0.45940993783882833 -4099,CTCTGTTTATTCCCAGTGCCCATAAGGTCC,CD13,69.49,672.0,0.182417582,0,nodrug,0.3743619662752384 -4100,CAAAGTTTCAAGTCGTCATCATCTTGGGGA,TADA1,39.4,132.0,0.155963303,0,AZD_200nM,0.4201355039587174 -4101,TCGGGTTTCAGCGTGTTGGGGAGGCGGTAA,CD13,7.86,76.0,0.661538462,0,nodrug,0.519718919749315 -4102,TATTGTTTCTGCCTCTGCAGATACTGGGCT,TADA1,7.76,26.0,0.330275229,0,AZD_200nM,0.33817508094924426 -4103,ATCGGTTTGAGAGATTGGTGGAACTGGTCA,NF1,42.62,1210.0,0.673913043,0,PLX_2uM,0.442818115372623 -4104,TTTGGTTTGCAATCATCTAAGTACTGGTCA,MED12,69.77,1519.0,0.396103896,0,AZD_200nM,0.4433887121178199 -4105,TTTGGTTTGCAATCATCTAAGTACTGGTCA,MED12,69.77,1519.0,0.371212121,0,PLX_2uM,0.4433887121178199 -4106,CTTTGTTTGGAATACATGACTCCATGGCTG,NF1,68.72,1951.0,0.9375,1,PLX_2uM,0.5998563668861457 -4107,ACAGGTTTGTGCTCTGGAGGACCCAGGTAT,NF1,54.49,1547.0,0.631793478,0,PLX_2uM,0.6657319815279322 -4108,GCATGTTTGTGTCATTAGTGAAACTGGAAA,HPRT1,96.33,210.0,0.046875,0,6TG_2ug/mL,0.1603000990856887 -4109,ATTGGTTTGTTATTGCAGATGAAGTGGAAA,NF2,6.72,40.0,0.609865471,0,PLX_2uM,0.6396952585131996 -4110,ATTTTAAAAAACCTACCGTAAACTCGGGTC,NF1,65.83,1869.0,0.327445652,0,PLX_2uM,0.5463577332193668 -4111,GTTCTAAACCCATGACGCCAGTCATGGTTG,MED12,86.5,1883.0,0.542207792,0,AZD_200nM,0.5575676164612507 -4112,GTTCTAAACCCATGACGCCAGTCATGGTTG,MED12,86.5,1883.0,0.508658009,0,PLX_2uM,0.5575676164612507 -4113,TTGCTAAACTGCCCACCTCAGTCCAGGGAC,MED12,66.1,1439.0,0.8993506490000001,1,AZD_200nM,0.5492149007250717 -4114,TTGCTAAACTGCCCACCTCAGTCCAGGGAC,MED12,66.1,1439.0,0.887445887,1,PLX_2uM,0.5492149007250717 -4115,AATTTAAAGAAAAACCTACAGACCTGGAGA,NF1,17.01,483.0,0.953804348,1,PLX_2uM,0.6314878106708164 -4116,ACAATAAAGAGGGTGTTGTTGGCAGGGATA,NF1,67.0,1902.0,0.762228261,0,PLX_2uM,0.6023377325017777 -4117,ATGCTAAAGCACTGATTATATTCCTGGTGT,CD45,36.11,408.0,0.252707581,0,nodrug,0.3566386272664407 -4118,AAGATAAAGTCACCCTGAGGTGCTGGGCCC,H2-K,60.7,224.0,0.621301775,0,nodrug,0.5754053616144711 -4119,GTGGTAAAGTCTCTACGCAAAGCACGGCCT,CD45,91.33,1032.0,0.371841155,0,nodrug,0.55011719896763 -4120,ACCTTAAAGTGTTGGTTGTTGTGAGGGCTT,NF1,13.7,389.0,0.519021739,0,PLX_2uM,0.6155817950630329 -4121,GTTATAAATGTGCAGACAGATTTGGGGAGT,CD45,18.67,211.0,0.873646209,1,nodrug,0.6581596879461297 -4122,TTTTTAAATTAAAGGTACAAGTTAAGGCAC,NF1,66.26,1881.0,0.387228261,0,PLX_2uM,0.4094312339579711 -4123,GCTATAAATTCTTTGCTGACCTGCTGGATT,HPRT1,35.78,78.0,0.015625,0,6TG_2ug/mL,0.3998859513390446 -4124,CATTTAAATTTAAAGCCCTAAAGAAGGTTG,NF1,7.22,205.0,0.7201086959999999,0,PLX_2uM,0.5426523322548918 -4125,GGAATAAATTTCTTCTTAAAAATAAGGTAA,NF1,21.63,614.0,0.051630435,0,PLX_2uM,0.2739072281539001 -4126,CCTTTAACACATGTCCCTGGACTGAGGTGG,MED12,66.1,1439.0,0.8744588740000001,1,AZD_200nM,0.6979374620127693 -4127,CCTTTAACACATGTCCCTGGACTGAGGTGG,MED12,66.1,1439.0,0.8755411259999999,1,PLX_2uM,0.6979374620127693 -4128,CCATTAACACTTGGTTCACTGACTTGGCTG,MED12,5.47,119.0,0.49567099600000003,0,AZD_200nM,0.4870692030238507 -4129,CCATTAACACTTGGTTCACTGACTTGGCTG,MED12,5.47,119.0,0.488095238,0,PLX_2uM,0.4870692030238507 -4130,AGGGTAACAGTGCCTTCACTCAGCAGGTAT,MED12,19.06,415.0,0.576839827,0,AZD_200nM,0.5956519925771103 -4131,AGGGTAACAGTGCCTTCACTCAGCAGGTAT,MED12,19.06,415.0,0.556277056,0,PLX_2uM,0.5956519925771103 -4132,CGGGTAACATTGGAATCGGGGTCAAGGAGG,CD13,58.84,569.0,0.189010989,0,nodrug,0.5411473880605091 -4133,TCAATAACCAGCCTGCTGTCTCTGGGGATG,MED12,2.39,52.0,0.607142857,0,AZD_200nM,0.6658492535332582 -4134,TCAATAACCAGCCTGCTGTCTCTGGGGATG,MED12,2.39,52.0,0.58008658,0,PLX_2uM,0.6658492535332582 -4135,TTCCTAACCTGCAGTGGACGAGGATGGATG,CD45,87.7,991.0,0.9566787,1,nodrug,0.5844805914519202 -4136,ATTCTAACGTGAGGTGTGGCTCATTGGCTG,NF1,67.59,1919.0,0.743206522,0,PLX_2uM,0.4968929311831165 -4137,TCCTTAACTATCCAAAAGCCAAAATGGAAG,NF1,28.11,798.0,0.190217391,0,PLX_2uM,0.2747575177731417 -4138,GCATTAACTCTCCGTCGAAGTTTGAGGAGC,CD45,58.32,659.0,0.27797833899999996,0,nodrug,0.48335377869813195 -4139,CTGCTAACTGCGCAACCTTCTTTAGGGCTT,NF1,7.22,205.0,0.766304348,0,PLX_2uM,0.3375582291852559 -4140,TCTGTAACTGCTCCCATAAGTACTTGGTGA,MED12,8.87,193.0,0.7359307359999999,0,AZD_200nM,0.6000034661887254 -4141,TCTGTAACTGCTCCCATAAGTACTTGGTGA,MED12,8.87,193.0,0.70995671,0,PLX_2uM,0.6000034661887254 -4142,TCTATAACTGTAACTCCTGGGTCAGGGAGT,NF1,59.39,1686.0,0.860054348,1,PLX_2uM,0.658549070088747 -4143,CAGGTAAGATGTTTGGTATTGTGGTGGGGA,NF1,95.0,2697.0,0.410326087,0,PLX_2uM,0.3481049673771373 -4144,AGTTTAAGCAATTCATCCTCTCCAGGGCGG,MED12,12.31,268.0,0.902597403,1,AZD_200nM,0.6585195876669583 -4145,AGTTTAAGCAATTCATCCTCTCCAGGGCGG,MED12,12.31,268.0,0.906926407,1,PLX_2uM,0.6585195876669583 -4146,AGGGTAAGGACCTTGATATAGGGCTGGTTG,THY1,52.47,85.0,0.5,0,nodrug,0.6036396139946869 -4147,AAGTTAAGGCACACAGAAGATTATAGGCAG,NF1,66.04,1875.0,0.529891304,0,PLX_2uM,0.39397679575806777 -4148,CTGGTAAGGCTGGCTGGAGTAGCTGGGGGG,MED12,90.4,1968.0,0.18073593100000002,0,AZD_200nM,0.16548393436402886 -4149,CTGGTAAGGCTGGCTGGAGTAGCTGGGGGG,MED12,90.4,1968.0,0.18614718600000002,0,PLX_2uM,0.16548393436402886 -4150,CTGGTAAGGCTTTCGAGTGAGCCCAGGCCT,CD28,91.28,199.0,0.45945945899999996,0,nodrug,0.4707809166204486 -4151,TAGTTAAGGTGTGTTATAGAACCAGGGTTT,MED12,83.92,1827.0,0.573593074,0,AZD_200nM,0.5789277303319074 -4152,TAGTTAAGGTGTGTTATAGAACCAGGGTTT,MED12,83.92,1827.0,0.55952381,0,PLX_2uM,0.5789277303319074 -4153,GCTATAAGTATCTTCTCTTGTCCATGGTGA,NF1,17.44,495.0,0.570652174,0,PLX_2uM,0.6136526476375804 -4154,GCATTAATATGGTCATCTGGAAAGTGGAAA,CUL3,77.73,597.0,0.44155844200000005,0,PLX_2uM,0.5419221508883344 -4155,TACCTAATCATTATGCTGAGGATTTGGAAA,HPRT1,14.22,31.0,0.140625,0,6TG_2ug/mL,0.34928817331786477 -4156,CACGTAATGCTCCATCACCTCTTGGGGAGT,TADA2B,25.0,105.0,0.894736842,1,AZD_200nM,0.6582810578033902 -4157,TAATTAATTCTGCTGTACTGCCTTGGGTTT,NF1,18.32,520.0,0.342391304,0,PLX_2uM,0.4563721627928212 -4158,TTCTTACAAAAGAACCCAAATCAAAGGAAA,CUL3,84.64,650.0,0.5519480520000001,0,PLX_2uM,0.5143790702629655 -4159,TACTTACACAACAGGAAAGACTTTGGGAAA,NF1,93.45,2653.0,0.354619565,0,PLX_2uM,0.3077733971933646 -4160,CTGCTACACATGTGTAATTTGTTTGGGCAC,CD45,16.37,185.0,0.202166065,0,nodrug,0.382597695602265 -4161,CAGATACACCTGTCAGCAAATTTATGGATC,NF1,31.49,894.0,0.161684783,0,PLX_2uM,0.2083755218845882 -4162,CGTGTACAGAAGTAGGCAAGCCGGCGGGAC,MED12,13.6,296.0,0.976190476,1,AZD_200nM,0.7104107442038372 -4163,CGTGTACAGAAGTAGGCAAGCCGGCGGGAC,MED12,13.6,296.0,0.939393939,1,PLX_2uM,0.7104107442038372 -4164,AGGATACAGCTGAGGCCAAAAACCAGGGGC,MED12,16.49,359.0,0.808441558,1,AZD_200nM,0.5494722648289914 -4165,AGGATACAGCTGAGGCCAAAAACCAGGGGC,MED12,16.49,359.0,0.7489177490000001,0,PLX_2uM,0.5494722648289914 -4166,ATTATACATTTAAACTTACCCTTCAGGAGT,NF1,6.87,195.0,0.671195652,0,PLX_2uM,0.33002022770077094 -4167,CTGCTACCACAGCAACCAGTTCTGTGGAGA,CD43,53.42,211.0,0.536231884,0,nodrug,0.6715472344365435 -4168,GGTTTACCACAGGCGAGGGACTGTAGGGCT,CUL3,82.29,632.0,0.49350649399999996,0,PLX_2uM,0.510915307456359 -4169,ACCCTACCACAGGGTCAGCCTCCCCGGTGA,CD33,84.34,307.0,0.138528139,0,nodrug,0.4411044130526442 -4170,CGGGTACCAGCAGTACGCCTACGACGGCTG,H2-K,37.67,139.0,0.846153846,1,nodrug,0.6620801607877852 -4171,TCCTTACCAGCCATATCAGTCTGTGGGATC,NF1,8.42,239.0,0.47826087,0,PLX_2uM,0.6337542378734325 -4172,CCAGTACCAGTGTACCACATGGAAAGGGGA,CD45,84.16,951.0,0.176895307,0,nodrug,0.50530967417385 -4173,TTGTTACCGAACATCTCATAAATAAGGTAT,CUL3,11.33,87.0,0.31168831199999997,0,PLX_2uM,0.34496019182990095 -4174,CTTCTACCGCAGCGAGTACATGGAGGGCAA,CD13,20.58,199.0,0.618681319,0,nodrug,0.6705237269383365 -4175,CATGTACCGGGGCTCCCCGAGGCCGGGCCG,H2-K,10.3,38.0,0.100591716,0,nodrug,0.4519103790275589 -4176,GTGCTACCTATCTACAAAAACTCCTGGATC,NF1,45.79,1300.0,0.8111413040000001,1,PLX_2uM,0.5421178932053408 -4177,ACCGTACCTCACCCCCAATGACAGGGGCCT,CD13,10.03,97.0,0.705494505,0,nodrug,0.7112644181826362 -4178,GAAATACCTCAGCGAGTGTGGGCCTGGGGG,H2-K,6.23,23.0,0.082840237,0,nodrug,0.36809835916876715 -4179,GGCATACCTCAGTGTTTCCTGCAGTGGGAT,NF1,27.16,771.0,0.35054347799999996,0,PLX_2uM,0.5088522383349323 -4180,AGAATACCTGACAGACTGGGTTATGGGAAC,NF1,36.95,1049.0,0.482336957,0,PLX_2uM,0.4604008494473053 -4181,TCTTTACCTGCAGTGCACCACAATGGGACC,CD45,59.82,676.0,0.729241877,0,nodrug,0.507606308993608 -4182,GACTTACCTGGCCATCTTCCATTTTGGCTT,NF1,28.14,799.0,0.10326087,0,PLX_2uM,0.15496817899998133 -4183,ATAGTACCTGGGGGATGGGAAAATGGGTGG,MED12,33.9,738.0,0.361471861,0,AZD_200nM,0.4587838781479978 -4184,ATAGTACCTGGGGGATGGGAAAATGGGTGG,MED12,33.9,738.0,0.455627706,0,PLX_2uM,0.4587838781479978 -4185,CGAGTACCTGGTGGTGCACCTCAAGGGCTC,CD13,17.17,166.0,0.31758241800000003,0,nodrug,0.6493994990140795 -4186,ATGTTACCTTAAGATCAACCACCATGGACT,NF1,12.33,350.0,0.826086957,1,PLX_2uM,0.6914803406151109 -4187,TTGATACCTTATTTATGAGATGTTCGGTAA,CUL3,10.94,84.0,0.597402597,0,PLX_2uM,0.4573870835014739 -4188,CTTGTACCTTTAATTTAAAAATCGAGGGCC,NF1,66.5,1888.0,0.285326087,0,PLX_2uM,0.46434505048074004 -4189,CAACTACGAGCGCTTTGTGCCCCGCGGCGC,CD15,85.28,452.0,0.95970696,1,nodrug,0.6197433393676858 -4190,TTCTTACGCCGTCCAGGCCAAGGTAGGCTC,NF2,25.04,149.0,0.9192825109999999,1,PLX_2uM,0.6044549442546816 -4191,GCGGTACGCTGCAAAGTCTCTGGCAGGGGC,CD28,96.79,211.0,0.21621621600000002,0,nodrug,0.32413261180454084 -4192,TGAATACGTCCTCGGACAGGAAGCTGGAGA,CD13,50.67,490.0,0.10769230800000001,0,nodrug,0.5146393867846101 -4193,GCATTACGTGAGCATGTACATCCACGGGAA,TADA2B,27.38,115.0,0.8526315790000001,1,AZD_200nM,0.6333188356502876 -4194,GTCTTACTAATAGAGACAATAAAGAGGGTG,NF1,67.17,1907.0,0.854619565,1,PLX_2uM,0.6053263807316234 -4195,TGAATACTACCGGCCAGGGCCTGCAGGAAG,MED12,9.6,209.0,0.548701299,0,AZD_200nM,0.49293244381008705 -4196,TGAATACTACCGGCCAGGGCCTGCAGGAAG,MED12,9.6,209.0,0.425324675,0,PLX_2uM,0.49293244381008705 -4197,TTTCTACTATAGTCTTCATGTGCTTGGAAA,CUL3,35.42,272.0,0.11038961,0,PLX_2uM,0.35518591533297195 -4198,CCCCTACTATGCCCTGTGAGGGGAAGGGCA,MED12,31.92,695.0,0.642857143,0,AZD_200nM,0.44286283052891523 -4199,CCCCTACTATGCCCTGTGAGGGGAAGGGCA,MED12,31.92,695.0,0.7186147190000001,0,PLX_2uM,0.44286283052891523 -4200,GCACTACTCAACACTGGGTCTTGCAGGTCA,MED12,60.08,1308.0,0.075757576,0,AZD_200nM,0.368831635919329 -4201,GCACTACTCAACACTGGGTCTTGCAGGTCA,MED12,60.08,1308.0,0.028138528,0,PLX_2uM,0.368831635919329 -4202,GCTATACTCCTTATGTTTCTCATGTGGGAT,MED12,89.57,1950.0,0.13961039,0,AZD_200nM,0.2964615174085584 -4203,GCTATACTCCTTATGTTTCTCATGTGGGAT,MED12,89.57,1950.0,0.167748918,0,PLX_2uM,0.2964615174085584 -4204,CGTCTACTGCAACGCTATCGCCCAGGGCGG,CD13,82.94,802.0,0.084615385,0,nodrug,0.4912266345386309 -4205,GCGCTACTGCTGTTGTGGCGCCAGAGGCAA,CD43,69.11,273.0,0.398550725,0,nodrug,0.5388482139787649 -4206,AGAATACTGGCCAAGCATGGAGGAAGGCAC,CD45,52.74,596.0,0.610108303,0,nodrug,0.6323668393292106 -4207,ATTTTACTGGCCAAGCTGTTGCCTCGGAAG,NF1,44.98,1277.0,0.725543478,0,PLX_2uM,0.5789158417643471 -4208,GGACTACTGGCTGATAGATGTAAGAGGTAA,CD13,62.56,605.0,0.47362637399999996,0,nodrug,0.6148156372150856 -4209,TTCCTACTGGGATCCCCAAGGAGGCGGAAT,CD33,25.27,92.0,0.463203463,0,nodrug,0.5687976548985307 -4210,CTTTTACTGTAGCTTTATTCAGTAGGGAGT,NF1,48.5,1377.0,0.10597826099999999,0,PLX_2uM,0.5013111641898833 -4211,CTTGTACTTAACTCCTAGGGCCCCGGGATG,CD45,49.03,554.0,0.8772563179999999,1,nodrug,0.5660923782710826 -4212,TTCATACTTCTTTCGGATGGAGAGAGGAAG,CD33,33.24,121.0,0.612554113,0,nodrug,0.572921378462085 -4213,GAGGTACTTGGAGCTGTGATATGTGGGGTA,CD43,8.35,33.0,0.673913043,0,nodrug,0.5569153734635518 -4214,TATTTACTTTGCAGGTAAGATGTTTGGTAT,NF1,95.1,2700.0,0.267663043,0,PLX_2uM,0.2191803291533793 -4215,TGAGTAGAAAAAAGAAAAAGCAACTGGAAG,CD45,55.93,632.0,0.310469314,0,nodrug,0.44797169288904914 -4216,AATGTAGAAGGTGAATTCTGAGCCAGGCAG,NF1,14.05,399.0,0.619565217,0,PLX_2uM,0.569802862455835 -4217,GCAGTAGACGGTGGACCGCAGGTTGGGGTG,CD13,81.9,792.0,0.449450549,0,nodrug,0.3021439015524317 -4218,ATAATAGAGAAAAATACACATTTGAGGTAT,CUL3,79.82,613.0,0.37662337700000004,0,PLX_2uM,0.5186056083159035 -4219,TGATTAGAGACATACTAATGTACATGGTAA,CUL3,16.28,125.0,0.902597403,1,PLX_2uM,0.6397757527055136 -4220,CCCTTAGAGCTTCCACACATGGACTGGTCA,NF1,74.82,2124.0,0.9728260870000001,1,PLX_2uM,0.4989272217865472 -4221,GATGTAGAGGTGGCAATCCGGCAGTGGGAT,MED12,10.66,232.0,0.614718615,0,AZD_200nM,0.5418170224200332 -4222,GATGTAGAGGTGGCAATCCGGCAGTGGGAT,MED12,10.66,232.0,0.62012987,0,PLX_2uM,0.5418170224200332 -4223,ACCATAGAGTGGTGGAATGACCTGTGGCTG,CD13,42.09,407.0,0.978021978,1,nodrug,0.7599705726649145 -4224,CCTTTAGCAGAGTCAGGGCATGTTGGGACA,MED12,88.24,1921.0,0.5844155839999999,0,AZD_200nM,0.3952453944357966 -4225,CCTTTAGCAGAGTCAGGGCATGTTGGGACA,MED12,88.24,1921.0,0.442640693,0,PLX_2uM,0.3952453944357966 -4226,CTTATAGCATAAAACATATCCATGGGGTTT,CD45,21.95,248.0,0.9927797829999999,1,nodrug,0.7319602922145593 -4227,TGTCTAGCATCTCGCAAGGTAGCATGGAGG,MED12,73.73,1605.0,0.19913419899999998,0,AZD_200nM,0.5142129457525768 -4228,TGTCTAGCATCTCGCAAGGTAGCATGGAGG,MED12,73.73,1605.0,0.20562770600000002,0,PLX_2uM,0.5142129457525768 -4229,ATTGTAGCCCTCTGTGTGCTCAAGGGGGGC,HPRT1,31.65,69.0,0.703125,0,6TG_2ug/mL,0.5570298235393752 -4230,CACGTAGCCGACTTCCATGTACCGGGGCTC,H2-K,11.65,43.0,0.9408284020000001,1,nodrug,0.7597921225250428 -4231,CTACTAGCCTGTGCCTGTGCATCGTGGCTG,MED12,42.54,926.0,0.957792208,1,AZD_200nM,0.7672209154634123 -4232,CTACTAGCCTGTGCCTGTGCATCGTGGCTG,MED12,42.54,926.0,0.938311688,1,PLX_2uM,0.7672209154634123 -4233,TTTCTAGCCTTCTCCTCCCTGGCCTGGGCT,NF2,54.62,325.0,0.156950673,0,PLX_2uM,0.29787631166701434 -4234,ACTGTAGCTTTATTCAGTAGGGAGTGGCAA,NF1,48.43,1375.0,0.129076087,0,PLX_2uM,0.620885561876157 -4235,GTGGTAGGGGTCCGTACTCAGCATGGGAGC,MED12,26.69,581.0,0.804112554,1,AZD_200nM,0.5972745047773529 -4236,GTGGTAGGGGTCCGTACTCAGCATGGGAGC,MED12,26.69,581.0,0.83982684,1,PLX_2uM,0.5972745047773529 -4237,TGGCTAGGGTAAGGACCTTGATATAGGGCT,THY1,53.7,87.0,0.564516129,0,nodrug,0.4073637905438847 -4238,TGATTAGGTATGCAAAATAAATCAAGGTCA,HPRT1,9.17,20.0,0.46875,0,6TG_2ug/mL,0.6127387756607375 -4239,TTGCTAGGTCCCAATCCAAAGATTCGGTTA,MED12,22.23,484.0,0.58982684,0,AZD_200nM,0.5958464321325692 -4240,TTGCTAGGTCCCAATCCAAAGATTCGGTTA,MED12,22.23,484.0,0.564935065,0,PLX_2uM,0.5958464321325692 -4241,CGTGTAGGTGAAGGTGTGAGCTGCAGGGTT,MED12,47.36,1031.0,0.47619047600000003,0,AZD_200nM,0.4803391655839355 -4242,CGTGTAGGTGAAGGTGTGAGCTGCAGGGTT,MED12,47.36,1031.0,0.471861472,0,PLX_2uM,0.4803391655839355 -4243,AGAGTAGGTTCGATCGCTTCCTCCTGGAAT,CUL3,46.35,356.0,0.5,0,PLX_2uM,0.5079519502615927 -4244,TACGTAGTAATTCTTCATGATCCATGGACA,NF1,22.75,646.0,0.9048913040000001,1,PLX_2uM,0.5849257825498967 -4245,ACTATAGTAGAAATGGAGAATTCTGGGCTA,CUL3,36.72,282.0,0.7142857140000001,0,PLX_2uM,0.4686150125331072 -4246,ATAATAGTCTTCACAGTCACGTAGCGGGCT,TADA2B,87.86,369.0,0.663157895,0,AZD_200nM,0.6486491659893033 -4247,ATGATAGTGACTGCTTATGAGCATGGGCTG,TADA1,48.36,162.0,0.981651376,1,AZD_200nM,0.654424377280937 -4248,TGAGTAGTGCCAAACCAAGGCACTAGGACA,MED12,17.27,376.0,0.09307359300000001,0,AZD_200nM,0.6143831347103696 -4249,TGAGTAGTGCCAAACCAAGGCACTAGGACA,MED12,17.27,376.0,0.125541126,0,PLX_2uM,0.6143831347103696 -4250,ATTGTAGTGGACCTTACCCATACCGGGCCT,NF1,58.05,1648.0,0.861413043,1,PLX_2uM,0.6517613724488103 -4251,ACCCTAGTTCCAGTGTTCTCTTTGAGGACA,MED12,31.05,676.0,0.16017316,0,AZD_200nM,0.39374422406535886 -4252,ACCCTAGTTCCAGTGTTCTCTTTGAGGACA,MED12,31.05,676.0,0.11147186099999999,0,PLX_2uM,0.39374422406535886 -4253,CAATTAGTTGAAGTAATGATGGCAAGGAGA,NF1,36.07,1024.0,0.71875,0,PLX_2uM,0.6571196633698108 -4254,CTGCTAGTTGGGGGCTGAGGAGCAGGGGTG,MED12,15.3,333.0,0.796536797,0,AZD_200nM,0.5784627989375203 -4255,CTGCTAGTTGGGGGCTGAGGAGCAGGGGTG,MED12,15.3,333.0,0.8170995670000001,1,PLX_2uM,0.5784627989375203 -4256,ATGTTATAAATGTGCAGACAGATTTGGGGA,CD45,18.58,210.0,0.083032491,0,nodrug,0.37062992918519516 -4257,CATTTATACTATTGTCTGTCGGCCGGGAGG,CD45,28.5,322.0,0.155234657,0,nodrug,0.44527798198055923 -4258,TTCTTATAGCATAAAACATATCCATGGGGT,CD45,21.95,248.0,1.0,1,nodrug,0.5872203372856192 -4259,TCTATATAGGTATGTTCGTGTGCTTGGGAA,NF1,35.26,1001.0,0.004076087,0,PLX_2uM,0.3559177697899849 -4260,CCATTATATCCAGGGACTCTCCAGTGGCCA,CD33,19.78,72.0,0.902597403,1,nodrug,0.6975881265341886 -4261,CCTCTATCACAGAACTTGGACCAGTGGACC,MED12,62.15,1353.0,0.9556277059999999,1,AZD_200nM,0.7158754930579402 -4262,CCTCTATCACAGAACTTGGACCAGTGGACC,MED12,62.15,1353.0,0.9209956709999999,1,PLX_2uM,0.7158754930579402 -4263,AGCTTATCATCAATAAATAATGAGAGGTAT,CUL3,50.65,389.0,0.935064935,1,PLX_2uM,0.698484605265334 -4264,CAAGTATCATGAGCGGCTGCTGACTGGCCT,NF1,59.77,1697.0,0.33695652200000004,0,PLX_2uM,0.5745001165142859 -4265,GGCATATCCTACAACAAACTTGTCTGGAAT,HPRT1,85.32,186.0,0.1875,0,6TG_2ug/mL,0.4158924107627042 -4266,GAGTTATCCTTGGTGTTATTCTCATGGCGG,THY1,25.31,41.0,0.435483871,0,nodrug,0.49855402243924 -4267,ACGCTATCGCCCAGGGCGGGGAGGAGGAGT,CD13,83.35,806.0,0.20109890100000002,0,nodrug,0.3984286387149741 -4268,TCTATATCTATAACTGTAACTCCTGGGTCA,NF1,59.32,1684.0,0.9035326090000001,1,PLX_2uM,0.6478188014474889 -4269,CACGTATCTCTGAGCCACATTGAGGGGAGG,CCDC101,94.88,278.0,0.134228188,0,AZD_200nM,0.5310968338130019 -4270,CGGATATCTGCTTCCTCACAGAGGTGGCGG,NF1,25.11,713.0,0.18885869600000002,0,PLX_2uM,0.6666672349215641 -4271,ACTTTATCTTCAGGTCTGCTGTGATGGGTC,H2-K,57.72,213.0,0.331360947,0,nodrug,0.41411020212252153 -4272,TTTGTATCTTTCAGAGCATTCCACGGGTAT,CD45,43.1,487.0,0.8483754509999999,1,nodrug,0.619835682560644 -4273,TCAGTATCTTTGAAGTCGAAAGACAGGCTG,NF2,85.04,506.0,0.784753363,0,PLX_2uM,0.5025524956937134 -4274,TATTTATGGCAATCCGGAATCCTCTGGAGT,NF1,83.34,2366.0,0.372282609,0,PLX_2uM,0.43280489229693453 -4275,AGGGTATGGGATGGAAGAAAGTGCAGGGCA,CD33,11.54,42.0,0.8311688309999999,1,nodrug,0.6105454084290465 -4276,GTGCTATGGTGGTAGCCAAGCTCCTGGAGA,MED12,24.25,528.0,0.87012987,1,AZD_200nM,0.6436537647183771 -4277,GTGCTATGGTGGTAGCCAAGCTCCTGGAGA,MED12,24.25,528.0,0.91017316,1,PLX_2uM,0.6436537647183771 -4278,TTCATATGTACTCCACTGTGAGCCAGGTAC,CD45,13.98,158.0,0.151624549,0,nodrug,0.541734051732877 -4279,TCCCTATTACCGGACAAAGCTGCGTGGCCT,CCDC101,20.14,59.0,0.6442953020000001,0,AZD_200nM,0.7548279203147975 -4280,CTGGTATTCAGCCTCCAGAGGGGAGGGGTC,CD45,68.05,769.0,0.555956679,0,nodrug,0.44937343069133656 -4281,GAGATATTCCAACGTGCAAGTGGCTGGACC,NF1,78.37,2225.0,0.28125,0,PLX_2uM,0.4514592526902914 -4282,TGTTTATTCCTCATGGACTAATTATGGACA,HPRT1,19.27,42.0,0.28125,0,6TG_2ug/mL,0.2309947387484603 -4283,TTTCTATTCTAGATTGTGAATAATTGGCGA,MED12,69.5,1513.0,0.056277056,0,AZD_200nM,0.16016366668962048 -4284,TTTCTATTCTAGATTGTGAATAATTGGCGA,MED12,69.5,1513.0,0.072510823,0,PLX_2uM,0.16016366668962048 -4285,GTGTTATTCTCATGGCGGCAGTCCAGGCGA,THY1,22.84,37.0,0.403225806,0,nodrug,0.4696240585719927 -4286,TTTTTATTCTGATTGTGGGGCTTTCGGGCA,CD45,44.25,500.0,0.090252708,0,nodrug,0.24533890389605828 -4287,ACACTATTCTTCAGGTATGGCTGCGGGGTC,TADA1,64.18,215.0,0.46788990799999997,0,AZD_200nM,0.47494326080727484 -4288,TATTTATTGATGATAAGCTGAAAAAGGGAG,CUL3,51.69,397.0,0.012987013,0,PLX_2uM,0.33075945960457653 -4289,TTGTTATTGCAGATGAAGTGGAAAGGGAAG,NF2,7.06,42.0,0.372197309,0,PLX_2uM,0.5231861921765323 -4290,TGCTTATTGCCTTGGTGGTGGTTTTGGCCC,CD43,66.08,261.0,0.050724637999999996,0,nodrug,0.2845643122226519 -4291,GTATTATTTCTGAAGTGAATGAAGAGGGGT,CD13,75.49,730.0,0.682417582,0,nodrug,0.5915142687579819 -4292,CACCTCAAAACTGGTCACATTATTAGGCAA,CD45,23.54,266.0,0.02166065,0,nodrug,0.2673354516909136 -4293,TATCTCAAAAGCATGTCTTGGTGCTGGTGG,CUL3,68.75,528.0,0.29220779199999997,0,PLX_2uM,0.5248958979329785 -4294,GTCCTCAAAGAGAACACTGGAACTAGGGTC,MED12,30.87,672.0,0.23701298699999998,0,AZD_200nM,0.4445369062601357 -4295,GTCCTCAAAGAGAACACTGGAACTAGGGTC,MED12,30.87,672.0,0.24025974,0,PLX_2uM,0.4445369062601357 -4296,GACTTCAAAGATACTGACATGAAGCGGCTT,NF2,86.55,515.0,0.121076233,0,PLX_2uM,0.5257819676683271 -4297,ATCATCAAAGGGAGAGGGAGGCCGGGGACC,MED12,29.08,633.0,0.28246753199999997,0,AZD_200nM,0.5138409697364815 -4298,ATCATCAAAGGGAGAGGGAGGCCGGGGACC,MED12,29.08,633.0,0.353896104,0,PLX_2uM,0.5138409697364815 -4299,GACTTCAAATACGGACCAATGTTAAGGATC,NF1,32.3,917.0,0.607336957,0,PLX_2uM,0.44006071042186357 -4300,AAGCTCAACTACACCCTCAGCCAGGGGCAC,CD13,13.75,133.0,0.8428571429999999,1,nodrug,0.7601657110911924 -4301,CTCTTCAACTGGACGCTCTCCTACCGGGCG,CD15,60.38,320.0,0.978021978,1,nodrug,0.511574965938521 -4302,GAAATCAAGTCTCTGTTGGAAGAGAGGCGG,CCDC101,31.74,93.0,0.348993289,0,AZD_200nM,0.5627926887522648 -4303,CCCTTCAATCTTCTCCTTGGGTGGGGGCTT,MED12,32.8,714.0,0.36038961,0,AZD_200nM,0.43738270932425793 -4304,CCCTTCAATCTTCTCCTTGGGTGGGGGCTT,MED12,32.8,714.0,0.405844156,0,PLX_2uM,0.43738270932425793 -4305,CTGTTCAATGAAGGGAAAGGACCAAGGGCC,CD5,18.62,92.0,0.732217573,0,nodrug,0.6647335967078621 -4306,AAGGTCAATGGAATGAAAACCTCCCGGCCG,CD45,28.32,320.0,0.7472924190000001,0,nodrug,0.6147940000584459 -4307,AACCTCAATGTGACGGGCTATTACCGGGTG,CD13,65.15,630.0,0.32857142899999997,0,nodrug,0.4770912100202087 -4308,TGTGTCAATTAGTTGAAGTAATGATGGCAA,NF1,36.0,1022.0,0.914402174,1,PLX_2uM,0.5605684878787168 -4309,CTCTTCACAAAAGAAGAACATATGCGGCCT,NF1,51.46,1461.0,0.675271739,0,PLX_2uM,0.7242901204938845 -4310,GCCCTCACAACAACCAACACTTTAAGGTGA,NF1,13.88,394.0,0.057065217,0,PLX_2uM,0.17135703729869997 -4311,GGGATCACAACACCCCCCAAAATGAGGAGA,NF1,90.49,2569.0,0.202445652,0,PLX_2uM,0.3519613535459169 -4312,GATGTCACAATAATCAGAAACACCAGGAAT,CD45,36.28,410.0,0.33935018100000003,0,nodrug,0.658075726223376 -4313,ACGGTCACATGTTGGCTCAGTTGGTGGTAG,CD15,70.94,376.0,0.945054945,1,nodrug,0.6423138245452783 -4314,CAGGTCACCAAGCCAAGAATCAAGTGGCAT,CD43,62.28,246.0,0.797101449,0,nodrug,0.735782428721016 -4315,GCTGTCACCAATGAGGTTGAAGCTTGGTAT,NF2,83.7,498.0,0.8340807170000001,1,PLX_2uM,0.5771332176626998 -4316,CTGCTCACCACGACGCCAGGGCTGCGGGTC,HPRT1,2.29,5.0,0.75,0,6TG_2ug/mL,0.4651546116905102 -4317,TAGTTCACCAGCATTAAGGAGTGAAGGGAT,MED12,53.05,1155.0,0.904761905,1,AZD_200nM,0.6156405523867868 -4318,TAGTTCACCAGCATTAAGGAGTGAAGGGAT,MED12,53.05,1155.0,0.954545455,1,PLX_2uM,0.6156405523867868 -4319,CAATTCACCAGCTGGCCAGACCATGGGGTT,CD45,57.35,648.0,0.6931407940000001,0,nodrug,0.5492740408620622 -4320,GTACTCACCCGCGCGGGTCTGAGTCGGAGC,H2-K,4.88,18.0,0.49112426,0,nodrug,0.5732653375489251 -4321,CACTTCACCTCGGATTGCAGAGGAAGGAGC,CD45,82.92,937.0,0.76534296,0,nodrug,0.5628209498358883 -4322,GTCATCACGGTGGATACCAGCACGGGGACC,CD13,57.7,558.0,0.93956044,1,nodrug,0.7848821601488737 -4323,GGTGTCACTCACTTGTTGGTGGCATGGCTG,CCDC101,63.48,186.0,0.208053691,0,AZD_200nM,0.5325792148060362 -4324,ACGTTCACTGACTGGACCCATGGGTGGGCT,NF1,30.54,867.0,0.351902174,0,PLX_2uM,0.5953627390459694 -4325,CAAGTCACTGAGTGCAGAATGGCTAGGAGT,MED12,50.16,1092.0,1.0,1,AZD_200nM,0.6927882437009677 -4326,CAAGTCACTGAGTGCAGAATGGCTAGGAGT,MED12,50.16,1092.0,0.981601732,1,PLX_2uM,0.6927882437009677 -4327,CTAATCACTTACCCACTGAGAACAAGGAAC,NF1,43.47,1234.0,0.501358696,0,PLX_2uM,0.6116642473631281 -4328,CTGCTCACTTGAATTCTGAGGGGCGGGTAA,CD13,59.67,577.0,0.527472527,0,nodrug,0.5304485439979174 -4329,TTGATCACTTGATATCAGACACAAAGGCTC,NF1,89.86,2551.0,0.438858696,0,PLX_2uM,0.4317249305361035 -4330,CACTTCAGAAATAATACCAACAACTGGAGG,CD13,76.42,739.0,0.381318681,0,nodrug,0.4263448973218921 -4331,AGAATCAGAAGCCGCAGATGAGAAGGGTTC,MED12,25.22,549.0,0.897186147,1,AZD_200nM,0.661034797548876 -4332,AGAATCAGAAGCCGCAGATGAGAAGGGTTC,MED12,25.22,549.0,0.911255411,1,PLX_2uM,0.661034797548876 -4333,TGTATCAGATGACTCCGGAAATGTGGGAGG,NF2,30.76,183.0,0.97309417,1,PLX_2uM,0.6225869524125506 -4334,CTCTTCAGCACATCAGGCAATGAGTGGGTC,CD13,63.91,618.0,0.9087912090000001,1,nodrug,0.6114659730247161 -4335,ATCTTCAGCAGTGGGGAAGGCTTCAGGCCG,MED12,37.76,822.0,0.563852814,0,AZD_200nM,0.3573416863066835 -4336,ATCTTCAGCAGTGGGGAAGGCTTCAGGCCG,MED12,37.76,822.0,0.50974026,0,PLX_2uM,0.3573416863066835 -4337,CTGCTCAGCCACAGAGATGTCCAGCGGGGG,TADA2B,36.9,155.0,0.742105263,0,AZD_200nM,0.6795563401096462 -4338,GAGTTCAGCCTGACCCGAGAGAAGAGGAAG,THY1,36.42,59.0,0.725806452,0,nodrug,0.5822866320886061 -4339,CAGATCAGCTGAAGCAGGACCTGCAGGAAG,NF2,76.97,458.0,0.35426009,0,PLX_2uM,0.45974178081996137 -4340,TCCATCAGCTGATCAAACAAACCCAGGTAA,CCDC101,8.19,24.0,0.832214765,1,AZD_200nM,0.7024105772345661 -4341,GCTGTCAGCTGCAAGCGTTCTGGTCGGCAT,MED12,23.79,518.0,0.965367965,1,AZD_200nM,0.6734361999520352 -4342,GCTGTCAGCTGCAAGCGTTCTGGTCGGCAT,MED12,23.79,518.0,0.931818182,1,PLX_2uM,0.6734361999520352 -4343,AGACTCAGCTGCAGAGAGACCACTCGGTGA,CD13,67.22,650.0,0.938461538,1,nodrug,0.6692005349191593 -4344,GTTGTCAGCTGCCCCCACCTCCCTGGGCCC,CD33,51.1,186.0,0.34199134200000003,0,nodrug,0.4299906801411328 -4345,TCTGTCAGCTGCCTACTTCCTCCATGGCCA,NF1,10.95,311.0,0.561141304,0,PLX_2uM,0.5845622083221153 -4346,CGTCTCAGCTTCAAGACGCGTCCCTGGAGA,TADA2B,99.52,418.0,0.09473684199999999,0,AZD_200nM,0.2157348687120569 -4347,ACCCTCAGGACCCCAAACAGAAGGAGGTGC,MED12,1.47,32.0,0.600649351,0,AZD_200nM,0.6909064684498512 -4348,ACCCTCAGGACCCCAAACAGAAGGAGGTGC,MED12,1.47,32.0,0.583333333,0,PLX_2uM,0.6909064684498512 -4349,CAGATCAGGCTCAGCGGAAGGCACTGGTCT,CD5,25.3,125.0,0.866108787,1,nodrug,0.5573524531855503 -4350,AGGTTCAGGCTTCACTGTGACAGGAGGAAC,MED12,57.1,1243.0,0.7824675320000001,0,AZD_200nM,0.7033271157548902 -4351,AGGTTCAGGCTTCACTGTGACAGGAGGAAC,MED12,57.1,1243.0,0.6309523810000001,0,PLX_2uM,0.7033271157548902 -4352,CTTATCAGGTCTCCCGGAATGTTCTGGAGC,MED12,39.14,852.0,0.329004329,0,AZD_200nM,0.37732894268778405 -4353,CTTATCAGGTCTCCCGGAATGTTCTGGAGC,MED12,39.14,852.0,0.32034632,0,PLX_2uM,0.37732894268778405 -4354,CAGGTCAGGTTGGTGCCGTGGTCCTGGGGC,CD33,56.32,205.0,0.49567099600000003,0,nodrug,0.27659483528412715 -4355,AGACTCAGGTTTAGATACAGGCTCAGGCCA,CD45,20.88,236.0,0.469314079,0,nodrug,0.583512817253549 -4356,TCACTCAGTACACCCCATACCTATCGGGAT,MED12,49.15,1070.0,0.628787879,0,AZD_200nM,0.5880762101352427 -4357,TCACTCAGTACACCCCATACCTATCGGGAT,MED12,49.15,1070.0,0.515151515,0,PLX_2uM,0.5880762101352427 -4358,TGGCTCAGTAGCGTCCAAATATGTTGGTAC,MED12,99.82,2173.0,0.15584415599999998,0,AZD_200nM,0.24716713248730635 -4359,TGGCTCAGTAGCGTCCAAATATGTTGGTAC,MED12,99.82,2173.0,0.084415584,0,PLX_2uM,0.24716713248730635 -4360,GAGGTCAGTCCATGTCCATAGGTGGGGGCC,MED12,92.1,2005.0,0.306277056,0,AZD_200nM,0.3172855916109413 -4361,GAGGTCAGTCCATGTCCATAGGTGGGGGCC,MED12,92.1,2005.0,0.304112554,0,PLX_2uM,0.3172855916109413 -4362,CAGCTCAGTCTTGTCAATGTCGGGGGGCTG,CD13,15.41,149.0,0.886813187,1,nodrug,0.6902960152724407 -4363,TGCTTCATACGGTGAGACAATGGCAGGATT,NF1,49.95,1418.0,0.830163043,1,PLX_2uM,0.5985131964228585 -4364,AATTTCATATGGCTTTGCATAATATGGCTT,NF1,57.59,1635.0,0.029891304,0,PLX_2uM,0.23762489139033535 -4365,GAAGTCATCAACTGTCTCATCCCGGGGCCC,CD45,49.2,556.0,0.8050541520000001,1,nodrug,0.6952999940191803 -4366,GCCCTCATCAGAACAATGACACTCAGGCTG,CD28,1.38,3.0,0.986486486,1,nodrug,0.6475927835180517 -4367,TGGGTCATCGGCAGGATCATCAAAGGGAGA,MED12,29.31,638.0,0.662337662,0,AZD_200nM,0.5725816510941827 -4368,TGGGTCATCGGCAGGATCATCAAAGGGAGA,MED12,29.31,638.0,0.827922078,1,PLX_2uM,0.5725816510941827 -4369,GGGATCATCTACGGCAAACTCTATTGGATA,CUL3,21.48,165.0,0.116883117,0,PLX_2uM,0.35613591081314244 -4370,AATTTCATCTCTTGGCAAAATGAGAGGTCA,NF1,36.28,1030.0,0.616847826,0,PLX_2uM,0.6132148804246994 -4371,TCAGTCATCTGAAGGAGGTTCCGCTGGTTT,NF1,47.09,1337.0,0.40081521700000006,0,PLX_2uM,0.582171176853235 -4372,TCCCTCATCTGCTTCTCTCGAGCGAGGCGC,NF2,57.14,340.0,0.6143497760000001,0,PLX_2uM,0.6481661045674446 -4373,GAGGTCATGGAATTAGAAAGGTTAAGGTTG,NF1,97.82,2777.0,0.167119565,0,PLX_2uM,0.23094455270847797 -4374,AGGGTCATGGCCGACTGCTGCAGCAGGGTC,CCDC101,41.98,123.0,0.053691275,0,AZD_200nM,0.4345271081899413 -4375,CCAGTCATGTTGATCCATTCCTGTAGGGAG,NF1,29.41,835.0,0.347826087,0,PLX_2uM,0.6005369308197658 -4376,TCTATCATTCATATCCGGACCCGCTGGGAA,NF1,64.46,1830.0,0.836956522,1,PLX_2uM,0.5358494350170738 -4377,ATCCTCATTGTCCAGCAGTCGATGTGGATA,MED12,61.05,1329.0,0.63961039,0,AZD_200nM,0.7140641274020958 -4378,ATCCTCATTGTCCAGCAGTCGATGTGGATA,MED12,61.05,1329.0,0.601731602,0,PLX_2uM,0.7140641274020958 -4379,TTCATCCAAACCCAGCGCTGGCCCGGGGGC,CD15,54.53,289.0,0.538461538,0,nodrug,0.44763474690690386 -4380,CGGCTCCAAACGGGGAAAGGAGGACGGCAA,TADA2B,79.05,332.0,0.584210526,0,AZD_200nM,0.5002764423600442 -4381,CCAATCCAAAGATTCGGTTACAAAGGGAGT,MED12,22.09,481.0,0.12662337699999998,0,AZD_200nM,0.5105220537495153 -4382,CCAATCCAAAGATTCGGTTACAAAGGGAGT,MED12,22.09,481.0,0.204545455,0,PLX_2uM,0.5105220537495153 -4383,GGGCTCCAAAGGCAAGGTCCCCTCGGGAGA,MED12,28.57,622.0,0.82034632,1,AZD_200nM,0.5775112397685755 -4384,GGGCTCCAAAGGCAAGGTCCCCTCGGGAGA,MED12,28.57,622.0,0.8495671,1,PLX_2uM,0.5775112397685755 -4385,GTTTTCCAACAGTCAGCAGAGACAGGGTCA,MED12,64.12,1396.0,0.561688312,0,AZD_200nM,0.6290805779220724 -4386,GTTTTCCAACAGTCAGCAGAGACAGGGTCA,MED12,64.12,1396.0,0.622294372,0,PLX_2uM,0.6290805779220724 -4387,CCCGTCCAACCTGCCCATGCCAGAGGGTAA,MED12,18.7,407.0,0.854978355,1,AZD_200nM,0.636056639320754 -4388,CCCGTCCAACCTGCCCATGCCAGAGGGTAA,MED12,18.7,407.0,0.915584416,1,PLX_2uM,0.636056639320754 -4389,TCCATCCAACTCCCCACCACCGTGCGGGAC,CD13,55.43,536.0,0.942857143,1,nodrug,0.6724783155730955 -4390,AGTTTCCAAGGGGGTCAAAGAAACTGGGAT,CD43,18.48,73.0,0.02173913,0,nodrug,0.3116099747844356 -4391,TTGGTCCAAGGTGGTGGCCGAGGCGGGGTT,CD13,6.31,61.0,0.10769230800000001,0,nodrug,0.3202753344388782 -4392,TATTTCCAAGTCCCTGGGCATCCTGGGGAT,CD13,1.34,13.0,0.047252747000000005,0,nodrug,0.34196983488084953 -4393,CAATTCCACACCATCTCCTTCTTCAGGCTG,NF1,38.36,1089.0,0.24320652199999998,0,PLX_2uM,0.3287889241356908 -4394,CTTTTCCACAGCGGCTTTCTGCCTCGGACA,CD5,4.25,21.0,0.0041841000000000005,0,nodrug,0.413797808223312 -4395,TCATTCCACCACTCTATGGTCACCAGGTTC,CD13,41.26,399.0,0.63956044,0,nodrug,0.6274437276187415 -4396,TATTTCCACCCAGTTCCAGCGCCAGGGGCT,MED12,98.25,2139.0,0.05411255400000001,0,AZD_200nM,0.16281329123248028 -4397,TATTTCCACCCAGTTCCAGCGCCAGGGGCT,MED12,98.25,2139.0,0.050865800999999995,0,PLX_2uM,0.16281329123248028 -4398,TCATTCCACGGGAAGGAGATCTTGGGGGTC,NF2,42.52,253.0,0.896860987,1,PLX_2uM,0.6382844337052398 -4399,TTCGTCCACTGTTACAGTGGCCAGTGGTAG,NF1,98.84,2806.0,0.183423913,0,PLX_2uM,0.25792830301158615 -4400,AGCCTCCAGAGGGGAGGGGTCACTGGGTGG,CD45,67.79,766.0,0.285198556,0,nodrug,0.4295403243162374 -4401,GTAGTCCAGCAGCTACCTGGGGCTGGGACT,MED12,98.07,2135.0,0.041125541,0,AZD_200nM,0.11492920682506325 -4402,GTAGTCCAGCAGCTACCTGGGGCTGGGACT,MED12,98.07,2135.0,0.025974026,0,PLX_2uM,0.11492920682506325 -4403,CAGCTCCAGCGAACTTCACCTGACAGGTCA,CD33,58.52,213.0,0.5865800870000001,0,nodrug,0.5705093723252848 -4404,GTTCTCCAGCTCTCTAGAGCGCTCTGGTGT,MED12,65.32,1422.0,0.708874459,0,AZD_200nM,0.5915353657160328 -4405,GTTCTCCAGCTCTCTAGAGCGCTCTGGTGT,MED12,65.32,1422.0,0.674242424,0,PLX_2uM,0.5915353657160328 -4406,AGGATCCAGGGCTCTCAGAATCTATGGACA,MED12,30.55,665.0,0.14177489199999999,0,AZD_200nM,0.37822106353399126 -4407,AGGATCCAGGGCTCTCAGAATCTATGGACA,MED12,30.55,665.0,0.09848484800000001,0,PLX_2uM,0.37822106353399126 -4408,GCACTCCAGGGTAAGTTGGTCGGGTGGGCA,MED12,85.94,1871.0,0.6839826840000001,0,AZD_200nM,0.526947174297171 -4409,GCACTCCAGGGTAAGTTGGTCGGGTGGGCA,MED12,85.94,1871.0,0.5963203460000001,0,PLX_2uM,0.526947174297171 -4410,ATTGTCCAGTCTATCATTCATATCCGGACC,NF1,64.35,1827.0,0.486413043,0,PLX_2uM,0.4659095824370733 -4411,AATGTCCATAGATTCTGAGAGCCCTGGATC,MED12,30.41,662.0,0.462121212,0,AZD_200nM,0.5602291458154725 -4412,AATGTCCATAGATTCTGAGAGCCCTGGATC,MED12,30.41,662.0,0.458874459,0,PLX_2uM,0.5602291458154725 -4413,CGGCTCCATCCACGATGCGGTTCTGGGAGG,MED12,55.72,1213.0,0.658008658,0,AZD_200nM,0.39857706433333473 -4414,CGGCTCCATCCACGATGCGGTTCTGGGAGG,MED12,55.72,1213.0,0.675324675,0,PLX_2uM,0.39857706433333473 -4415,CTCCTCCATCCACTGTCTCCAACATGGCGA,H2-K,82.38,304.0,0.301775148,0,nodrug,0.5722635777403822 -4416,AAACTCCATGAATGTGTTATAGTTGGGCAA,NF1,25.89,735.0,0.357336957,0,PLX_2uM,0.530494767178823 -4417,AGACTCCATGCAGACTCTCTTCCGAGGCAA,NF1,44.91,1275.0,0.948369565,1,PLX_2uM,0.7171734262976592 -4418,ACGGTCCATGGCAGCCCCCGGCCTCGGCGC,CD15,27.55,146.0,0.08791208800000001,0,nodrug,0.3523738854455555 -4419,CCTTTCCATGTGGTACACTGGTACTGGTAC,CD45,83.72,946.0,0.866425993,1,nodrug,0.4575290910889231 -4420,CCAGTCCATGTGTGGAAGCTCTAAGGGAGA,NF1,74.64,2119.0,0.639945652,0,PLX_2uM,0.5192852747140669 -4421,TTGATCCCAAGCCACCTGTTGCACTGGTTT,NF1,71.12,2019.0,0.154891304,0,PLX_2uM,0.41191474288430335 -4422,AGCATCCCACTGCAGGAAACACTGAGGTAT,NF1,27.26,774.0,0.7513586959999999,0,PLX_2uM,0.7929740522042837 -4423,TGCCTCCCAGAACCGCATCGTGGATGGAGC,MED12,55.86,1216.0,0.827922078,1,AZD_200nM,0.5390472858987537 -4424,TGCCTCCCAGAACCGCATCGTGGATGGAGC,MED12,55.86,1216.0,0.895021645,1,PLX_2uM,0.5390472858987537 -4425,ATCTTCCCATTGACATAGGCAAGTAGGGAC,CD45,25.31,286.0,0.783393502,0,nodrug,0.5965004544471395 -4426,GCCTTCCCCAGACAAGCCTACAGTAGGAAT,MED12,54.94,1196.0,0.7943722940000001,0,AZD_200nM,0.7314430410992386 -4427,GCCTTCCCCAGACAAGCCTACAGTAGGAAT,MED12,54.94,1196.0,0.8138528140000001,1,PLX_2uM,0.7314430410992386 -4428,CCAGTCCCCAGTTCTCCATGGCGCCGGCGT,CD13,36.5,353.0,0.771428571,0,nodrug,0.511770905538193 -4429,TCTATCCCCCAACACACCAAGATTCGGCCA,NF1,64.99,1845.0,0.423913043,0,PLX_2uM,0.5546522341856497 -4430,CTTCTCCCCGCCCTCAGCATCCTTCGGAAA,CCDC101,26.28,77.0,0.758389262,0,AZD_200nM,0.4491597987752133 -4431,GTTCTCCCCTACTATGCCCTGTGAGGGGAA,MED12,31.83,693.0,0.691558442,0,AZD_200nM,0.5065008172755844 -4432,GTTCTCCCCTACTATGCCCTGTGAGGGGAA,MED12,31.83,693.0,0.71969697,0,PLX_2uM,0.5065008172755844 -4433,CCCTTCCCCTCACAGGGCATAGTAGGGGAG,MED12,31.69,690.0,0.48593073600000003,0,AZD_200nM,0.4905155237775957 -4434,CCCTTCCCCTCACAGGGCATAGTAGGGGAG,MED12,31.69,690.0,0.388528139,0,PLX_2uM,0.4905155237775957 -4435,ACTGTCCCCTCAGGTGGGGAGGATGGGCAG,MED12,37.25,811.0,0.035714286,0,AZD_200nM,0.3913635387858428 -4436,ACTGTCCCCTCAGGTGGGGAGGATGGGCAG,MED12,37.25,811.0,0.114718615,0,PLX_2uM,0.3913635387858428 -4437,CATCTCCCGAGGGGACCTTGCCTTTGGAGC,MED12,28.71,625.0,0.002164502,0,AZD_200nM,0.33643839908009116 -4438,CATCTCCCGAGGGGACCTTGCCTTTGGAGC,MED12,28.71,625.0,0.00974026,0,PLX_2uM,0.33643839908009116 -4439,GCGTTCCCGTTCTTCAGGTATCTGCGGAGC,H2-K,51.76,191.0,0.7751479290000001,0,nodrug,0.6559685761001247 -4440,AGTGTCCCTACTTGCCTATGTCAATGGGAA,CD45,25.58,289.0,0.29963898899999997,0,nodrug,0.47079307706234674 -4441,GGGGTCCCTCAGCTCTGCAGGAGCTGGTGT,CD5,45.34,224.0,0.20920502100000002,0,nodrug,0.4157278337071609 -4442,GCTCTCCCTTAGAGCTTCCACACATGGACT,NF1,74.74,2122.0,0.755434783,0,PLX_2uM,0.5028040203929756 -4443,TGACTCCCTTTGTAACCGAATCTTTGGATT,MED12,22.23,484.0,0.33766233799999995,0,AZD_200nM,0.3328061935830724 -4444,TGACTCCCTTTGTAACCGAATCTTTGGATT,MED12,22.23,484.0,0.318181818,0,PLX_2uM,0.3328061935830724 -4445,AGTTTCCGAAGCCGAACTGCTCGATGGCGT,TADA2B,19.76,83.0,1.0,1,AZD_200nM,0.6468844312232559 -4446,GAATTCCGAAGTTCAGCTGCATGCTGGTTT,NF1,4.58,130.0,1.0,1,PLX_2uM,0.5159851043777927 -4447,GGGGTCCGACGGGCGACTCCTCCGCGGGTA,H2-K,35.5,131.0,0.633136095,0,nodrug,0.5692088593630547 -4448,AAGATCCGAGAACTGCAGCGGTACCGGCGA,TADA2B,70.0,294.0,0.321052632,0,AZD_200nM,0.4491925542324984 -4449,CCTGTCCGAGGACGTATTCAAGCAGGGCCT,CD13,51.4,497.0,0.293406593,0,nodrug,0.6679797191012745 -4450,GATCTCCGAGGCGGGTGTGGACAGCGGGTG,CD13,47.16,456.0,0.895604396,1,nodrug,0.6041778604931273 -4451,AGCTTCCGCACGTACATGTCCACGTGGGCG,TADA2B,49.05,206.0,0.826315789,1,AZD_200nM,0.7151808316862587 -4452,TGGCTCCGCAGATACCTGAAGAACGGGAAC,H2-K,52.85,195.0,0.39644970399999996,0,nodrug,0.5033834646088913 -4453,CGGATCCGCATCTTGGTGTCCTTCCGGCTG,CUL3,1.56,12.0,0.331168831,0,PLX_2uM,0.33946486130841874 -4454,CGGGTCCGGATATGAATGATAGACTGGACA,NF1,64.21,1823.0,0.955163043,1,PLX_2uM,0.5723969033789383 -4455,AGAGTCCGGCACACCAAATCAAAGAGGTCC,NF2,7.9,47.0,0.8654708520000001,1,PLX_2uM,0.7227702640706913 -4456,TAGCTCCGGCGCCAGTGGAAGTAGCGGCGA,CD15,91.51,485.0,0.9523809520000001,1,nodrug,0.5065251559743214 -4457,CGTCTCCGGGTTGGCCTTCCACTGGGGCAG,CCDC101,73.72,216.0,0.9932885909999999,1,AZD_200nM,0.676263356411836 -4458,ACTCTCCGTCGAAGTTTGAGGAGCAGGTGA,CD45,58.14,657.0,0.44765343,0,nodrug,0.46122305787003515 -4459,GCCTTCCGTTCCAGTTACCGGGACAGGTCA,NF1,76.93,2184.0,0.16983695699999998,0,PLX_2uM,0.3440692006116375 -4460,TTGTTCCTACTGGGATCCCCAAGGAGGCGG,CD33,25.55,93.0,0.681818182,0,nodrug,0.7121588261817055 -4461,CGGCTCCTCATCTTCTGGGGGCAGTGGCAG,MED12,80.16,1745.0,0.324675325,0,AZD_200nM,0.4101222165343604 -4462,CGGCTCCTCATCTTCTGGGGGCAGTGGCAG,MED12,80.16,1745.0,0.278138528,0,PLX_2uM,0.4101222165343604 -4463,TGGGTCCTCCAGAGCACAAACCTGTGGCAG,NF1,54.7,1553.0,0.38451087,0,PLX_2uM,0.662797141117417 -4464,CTTCTCCTCCTCTTTGGGGCATGCTGGGTC,CD43,3.04,12.0,0.420289855,0,nodrug,0.30418977873078545 -4465,CTTTTCCTCCTTAGGCTTCACCATTGGACG,MED12,20.76,452.0,0.668831169,0,AZD_200nM,0.5162794403109089 -4466,CTTTTCCTCCTTAGGCTTCACCATTGGACG,MED12,20.76,452.0,0.708874459,0,PLX_2uM,0.5162794403109089 -4467,CTGCTCCTCTAACAATGGCACTTGTGGTTT,MED12,50.85,1107.0,0.39285714299999996,0,AZD_200nM,0.5095573056956502 -4468,CTGCTCCTCTAACAATGGCACTTGTGGTTT,MED12,50.85,1107.0,0.34740259700000004,0,PLX_2uM,0.5095573056956502 -4469,ACCATCCTCTACAAGGCCAAGGACAGGCCC,CD5,38.66,191.0,0.351464435,0,nodrug,0.5611718328342613 -4470,ATGGTCCTCTCCCAAAGGTTCTGAAGGATA,NF1,88.06,2500.0,0.398097826,0,PLX_2uM,0.4626099363728251 -4471,GTGGTCCTCTGGTCTACAAGAAGCTGGTGA,CD5,81.58,403.0,0.535564854,0,nodrug,0.49864491945110834 -4472,AACTTCCTGAGAGGCAGTAGGCTCAGGTAC,CD43,25.32,100.0,0.21739130399999998,0,nodrug,0.5021686083256496 -4473,AGCATCCTGAGGACTGAGGCGCCCTGGGGT,CD13,49.64,480.0,0.864835165,1,nodrug,0.4377751482467116 -4474,GCCCTCCTGAGGCTTCTGTGCTCCTGGCTT,NF2,23.53,140.0,0.13452914800000002,0,PLX_2uM,0.40520383677393174 -4475,GGGGTCCTGAGGGTAAACATCGGGAGGCCC,MED12,1.06,23.0,0.6158008660000001,0,AZD_200nM,0.6716348423456193 -4476,GGGGTCCTGAGGGTAAACATCGGGAGGCCC,MED12,1.06,23.0,0.49567099600000003,0,PLX_2uM,0.6716348423456193 -4477,GGCTTCCTGCGACCAGTGTCAGGAAGGGTA,MED12,4.0,87.0,0.659090909,0,AZD_200nM,0.5911145015787893 -4478,GGCTTCCTGCGACCAGTGTCAGGAAGGGTA,MED12,4.0,87.0,0.585497835,0,PLX_2uM,0.5911145015787893 -4479,GACATCCTGGAAAATGGGAGCACTGGGAGC,MED12,25.86,563.0,0.37987013,0,AZD_200nM,0.5609140429715224 -4480,GACATCCTGGAAAATGGGAGCACTGGGAGC,MED12,25.86,563.0,0.40151515200000004,0,PLX_2uM,0.5609140429715224 -4481,TGTTTCCTGGACAGTGGCGGGGCCAGGCCT,CD15,65.47,347.0,0.058608059000000004,0,nodrug,0.3520986061679224 -4482,GTACTCCTGGAGCCTCTCTCCGGAAGGGAA,NF1,23.21,659.0,0.5665760870000001,0,PLX_2uM,0.5843826673089123 -4483,CGTGTCCTGGCACCAGCTGCAATCTGGGAG,CD5,32.19,159.0,0.19246861899999998,0,nodrug,0.3033409337208766 -4484,CTCCTCCTGGCGTCTACGATGCTCAGGGAG,CD33,28.57,104.0,0.846320346,1,nodrug,0.4597084612283025 -4485,GATTTCCTGGCTCGGGGACTGGTCTGGCCG,NF1,88.55,2514.0,0.15353260900000001,0,PLX_2uM,0.2492258388353933 -4486,GCTGTCCTGGCTGCTTTCCTCCTGTGGGTC,CD33,78.57,286.0,0.296536797,0,nodrug,0.3164961507356045 -4487,CTTCTCCTGGGCACAGAGGAACCCGGGGGA,CD5,68.62,339.0,0.43096234299999997,0,nodrug,0.5420953043983484 -4488,GTAGTCCTGGGGCCCAGGGAGGTGGGGGCA,CD33,50.82,185.0,0.23809523800000001,0,nodrug,0.35266746725276604 -4489,ACACTCCTGGTGCATGAAGGTGAGCGGCGT,NF1,63.79,1811.0,0.679347826,0,PLX_2uM,0.6667824464340025 -4490,GGTATCCTTCAGAACCTTTGGGAGAGGACC,NF1,87.95,2497.0,0.64673913,0,PLX_2uM,0.5084503103875502 -4491,CTGCTCCTTCTGGAACAAGGCCTCAGGGTC,CCDC101,77.13,226.0,0.67114094,0,AZD_200nM,0.3736411155669343 -4492,CACCTCCTTCTGTTTGGGGTCCTGAGGGTA,MED12,1.29,28.0,0.414502165,0,AZD_200nM,0.4640567954319216 -4493,CACCTCCTTCTGTTTGGGGTCCTGAGGGTA,MED12,1.29,28.0,0.38744588700000004,0,PLX_2uM,0.4640567954319216 -4494,ACCCTCGAAGTGAGAGTGAGCGGGTGGAAT,MED12,27.1,590.0,0.7337662340000001,0,AZD_200nM,0.6550758595785622 -4495,ACCCTCGAAGTGAGAGTGAGCGGGTGGAAT,MED12,27.1,590.0,0.641774892,0,PLX_2uM,0.6550758595785622 -4496,CATGTCGAATCTGAGCAAAGGCACGGGCAG,CUL3,0.91,7.0,0.181818182,0,PLX_2uM,0.5502875433428545 -4497,TCGCTCGAGAGAAGCAGATGAGGGAGGAGG,NF2,58.15,346.0,0.45291479799999995,0,PLX_2uM,0.6817167482513694 -4498,TTGCTCGAGATGTGATGAAGGAGATGGGAG,HPRT1,25.69,56.0,0.953125,1,6TG_2ug/mL,0.6175814172757286 -4499,GAGATCGAGCAGCAGATCAAGGAGCGGGGA,MED12,19.75,430.0,0.46861471899999996,0,AZD_200nM,0.6231338353401253 -4500,GAGATCGAGCAGCAGATCAAGGAGCGGGGA,MED12,19.75,430.0,0.5129870129999999,0,PLX_2uM,0.6231338353401253 -4501,GGAGTCGAGGGTGTGCTGCTAGTTGGGGGC,MED12,15.53,338.0,0.095238095,0,AZD_200nM,0.31063446184904936 -4502,GGAGTCGAGGGTGTGCTGCTAGTTGGGGGC,MED12,15.53,338.0,0.138528139,0,PLX_2uM,0.31063446184904936 -4503,GCTTTCGAGTGAGCCCAGGCCTCCGGGGAG,CD28,89.91,196.0,0.594594595,0,nodrug,0.31656739242471205 -4504,GGCTTCGCAGCCCCGGGGAGTGCGAGGGCG,CD15,56.98,302.0,0.846153846,1,nodrug,0.47305860421058643 -4505,GGGCTCGCCGACGGCGGCGGCGGGCGGGCG,CD15,25.85,137.0,0.018315018,0,nodrug,0.2220066669697511 -4506,CCAGTCGCGAGGAGCAGCTGCTGCTGGACG,TADA2B,18.57,78.0,0.778947368,0,AZD_200nM,0.45856911800455435 -4507,CTGTTCGCGCCATGGGGGCACCGTGGGGCT,CD15,24.34,129.0,0.47985348,0,nodrug,0.40238526099191785 -4508,CGCCTCGCTCGAGAGAAGCAGATGAGGGAG,NF2,57.98,345.0,0.233183857,0,PLX_2uM,0.4994756656890863 -4509,GGACTCGGACGTCTTTGTGCCTTATGGCTA,CD15,62.08,329.0,0.234432234,0,nodrug,0.2606396306410445 -4510,TGTTTCGGATTTCATTCCACGGGAAGGAGA,NF2,43.19,257.0,0.69058296,0,PLX_2uM,0.6083350129651832 -4511,GAACTCGGCATTCGAGCGAAACTGGGGCTG,CD28,36.24,79.0,0.8513513509999999,1,nodrug,0.6355049013986553 -4512,CCACTCGGGACTTGGCGCTCTGCAAGGTGA,NF2,97.98,583.0,0.103139013,0,PLX_2uM,0.2725323025794995 -4513,GCACTCGGTGCAGCGGAAGCGCAGCGGGCT,TADA2B,4.76,20.0,0.963157895,1,AZD_200nM,0.632633797094656 -4514,CATCTCGTACAGTGACAAGGAGGTAGGACA,NF2,45.38,270.0,0.511210762,0,PLX_2uM,0.6501074995918791 -4515,ATCGTCGTCCTCTGCAGACTGTCTGGGCTC,CD43,5.06,20.0,0.594202899,0,nodrug,0.5297375357586327 -4516,TACATCGTCTACTCTGGAACAATCAGGAGA,NF1,53.33,1514.0,0.448369565,0,PLX_2uM,0.5151179131260514 -4517,GGCGTCGTGAAGCATGGGATGAACCGGTCC,MED12,44.1,960.0,0.5216450220000001,0,AZD_200nM,0.5180193853259049 -4518,GGCGTCGTGAAGCATGGGATGAACCGGTCC,MED12,44.1,960.0,0.659090909,0,PLX_2uM,0.5180193853259049 -4519,GACCTCGTGAAGGGGCCCCCCGACTGGCCC,CD15,46.79,248.0,0.26007326,0,nodrug,0.41518815896502786 -4520,GCCCTCGTGGCGCTACTGCTGTTGTGGCGC,CD43,68.35,270.0,0.528985507,0,nodrug,0.5692701929720237 -4521,ATGGTCGTGTCTTCACAGTACTCTGGGGAA,MED12,13.05,284.0,0.19588744600000002,0,AZD_200nM,0.5019430016856261 -4522,ATGGTCGTGTCTTCACAGTACTCTGGGGAA,MED12,13.05,284.0,0.252164502,0,PLX_2uM,0.5019430016856261 -4523,GAATTCGTTGATCAAACTCATCTGTGGTAT,NF1,92.71,2632.0,0.889945652,1,PLX_2uM,0.4877856986191916 -4524,CCTCTCGTTGTCTAGGTAAGGCGGAGGGTA,CD28,55.96,122.0,0.756756757,0,nodrug,0.6168221541210395 -4525,TTTATCTAAAATCCCTGCTTCATACGGTGA,NF1,50.12,1423.0,0.34375,0,PLX_2uM,0.533354035735507 -4526,CTCTTCTAAAGCCAAGGTGGCAGCAGGTAG,NF1,60.9,1729.0,0.8464673909999999,1,PLX_2uM,0.5757973232464982 -4527,AAGCTCTAAGGGAGAGCGGACCTGTGGCTA,NF1,74.46,2114.0,0.516304348,0,PLX_2uM,0.5436448045009629 -4528,TTCATCTAATCTCATTGTGTCCTTTGGTTG,NF1,3.52,100.0,0.38994565200000003,0,PLX_2uM,0.3489044056557312 -4529,ACACTCTACCTGCATCTTTGCCTCCGGTGA,TADA1,81.49,273.0,0.47706422,0,AZD_200nM,0.5193796741560472 -4530,AGTCTCTACGCAAAGCACGGCCTGGGGTGG,CD45,91.5,1034.0,0.696750903,0,nodrug,0.5311632238529456 -4531,AGGCTCTAGCAGGGTAGGAGCAGGCGGCTC,MED12,80.52,1753.0,0.562770563,0,AZD_200nM,0.5532599467496494 -4532,AGGCTCTAGCAGGGTAGGAGCAGGCGGCTC,MED12,80.52,1753.0,0.448051948,0,PLX_2uM,0.5532599467496494 -4533,TTGATCTAGCTTGTTTGTGGCCACTGGAGA,CD33,20.33,74.0,0.554112554,0,nodrug,0.4772156820732723 -4534,TGTATCTAGGGATCATAAAGCTGTTGGAAG,NF1,53.89,1530.0,0.293478261,0,PLX_2uM,0.537538279719465 -4535,TTTCTCTAGTCCGCATTGGATTGGTGGCCT,NF1,14.97,425.0,0.7798913040000001,0,PLX_2uM,0.5366309547017091 -4536,GCGGTCTATCGCCGCTACTTCCACTGGCGC,CD15,91.89,487.0,0.626373626,0,nodrug,0.47948502920953384 -4537,ACTGTCTATGCTCTTAACATTGAAAGGATC,TADA1,90.15,302.0,0.385321101,0,AZD_200nM,0.49880982426430137 -4538,CCCATCTATTCAAGCAAAAATATGGGGAAG,NF1,70.31,1996.0,0.994565217,1,PLX_2uM,0.611113348136153 -4539,CTGGTCTCCACAAGCTCCATGTCCTGGATC,H2-K,67.21,248.0,0.201183432,0,nodrug,0.46857007602856054 -4540,GGGTTCTCCATCCACTGCTTGAAAAGGCCA,CD13,80.25,776.0,0.181318681,0,nodrug,0.4322454050279038 -4541,TCCTTCTCGACATCTGGCTTCTCAGGGGAT,MED12,32.25,702.0,0.404761905,0,AZD_200nM,0.4377298220552592 -4542,TCCTTCTCGACATCTGGCTTCTCAGGGGAT,MED12,32.25,702.0,0.272727273,0,PLX_2uM,0.4377298220552592 -4543,AAAGTCTCTACGCAAAGCACGGCCTGGGGT,CD45,91.42,1033.0,0.444043321,0,nodrug,0.3876742611100103 -4544,ATGATCTCTCAACTTTAACTGGAAAGGTAT,HPRT1,58.26,127.0,0.421875,0,6TG_2ug/mL,0.6022523376876437 -4545,ACTGTCTCTCTTCAATCAGGAAGAGGGTGT,CD13,70.84,685.0,0.82967033,1,nodrug,0.6235739861532767 -4546,GCAATCTCTGGCATGTGTGACTGAGGGACC,NF1,18.84,535.0,0.623641304,0,PLX_2uM,0.6757974136480221 -4547,CAGTTCTCTTCGTCGTAGTTCACCCGGTAA,CD13,65.36,632.0,0.876923077,1,nodrug,0.6199900806890326 -4548,ACTCTCTGAAATAAATGGAGATGCAGGGTC,CD45,46.73,528.0,0.534296029,0,nodrug,0.4967147572654365 -4549,ATCATCTGAAGACTCATCTGATTCAGGCTC,CD45,73.19,827.0,0.086642599,0,nodrug,0.27099382382935167 -4550,GCGATCTGACAGGAGCTCGAAGCCTGGAAG,TADA2B,82.86,348.0,0.163157895,0,AZD_200nM,0.4634499270212786 -4551,CACTTCTGACTACCAAAATGTAAAAGGTTT,CD45,30.44,344.0,0.014440433,0,nodrug,0.21614583119548553 -4552,TATCTCTGAGCCACATTGAGGGGAGGGGAA,CCDC101,94.2,276.0,0.899328859,1,AZD_200nM,0.4824800968548841 -4553,AAATTCTGCAGACATTTCCAAAAAAGGAGC,CUL3,27.34,210.0,0.051948052,0,PLX_2uM,0.25392834237829065 -4554,TGTATCTGCCACAGGTTTGTGCTCTGGAGG,NF1,54.63,1551.0,0.63451087,0,PLX_2uM,0.5728095228875487 -4555,GCTTTCTGCCTCGGACAGTCTGGAAGGGGT,CD5,5.26,26.0,0.723849372,0,nodrug,0.5497063659682729 -4556,CCTGTCTGCCTGCCCCACAGCCCCAGGATG,CCDC101,87.37,256.0,0.214765101,0,AZD_200nM,0.3692260473939673 -4557,TGGATCTGCGCGTGTTGGACTACGAGGAGG,CD15,50.94,270.0,0.355311355,0,nodrug,0.6682417240898457 -4558,CCCATCTGCTCACTTGAATTCTGAGGGGCG,CD13,59.88,579.0,0.334065934,0,nodrug,0.5261069364698114 -4559,TGGGTCTGCTGAAGCCCCTGGCGCTGGAAC,MED12,98.25,2139.0,0.025974026,0,AZD_200nM,0.09568538240169076 -4560,TGGGTCTGCTGAAGCCCCTGGCGCTGGAAC,MED12,98.25,2139.0,0.162337662,0,PLX_2uM,0.09568538240169076 -4561,CAGGTCTGCTGTGATGGGTCACATGGGCCT,H2-K,56.91,210.0,0.804733728,1,nodrug,0.6146984371110109 -4562,ATCTTCTGCTTGAACCACAGCTTTAGGTTA,TADA1,9.25,31.0,0.770642202,0,AZD_200nM,0.34974231135980993 -4563,GAAGTCTGGCAGGCCAATCTGGTCTGGGGA,CD13,35.47,343.0,0.263736264,0,nodrug,0.37490972622637964 -4564,ACCCTCTGGCATGGGCAGGTTGGACGGGGC,MED12,18.51,403.0,0.9642857140000001,1,AZD_200nM,0.49082578625754936 -4565,ACCCTCTGGCATGGGCAGGTTGGACGGGGC,MED12,18.51,403.0,0.9632034629999999,1,PLX_2uM,0.49082578625754936 -4566,CAGGTCTGGCCACGTAGTCTCCTGAGGCAG,CCDC101,51.88,152.0,0.879194631,1,AZD_200nM,0.6913700661895171 -4567,AACTTCTGGCCCAGAAGGCCGCAGAGGCTG,NF2,67.73,403.0,0.47982062799999997,0,PLX_2uM,0.6170075212067587 -4568,TTGGTCTGGGCTTGTCGGCAAATCGGGGGG,NF1,23.92,679.0,0.017663043,0,PLX_2uM,0.24970664461655523 -4569,TGGTTCTGGGGTCTGTTCAATGAAGGGAAA,CD5,19.43,96.0,0.958158996,1,nodrug,0.6108563692503794 -4570,GTGTTCTGGTAGGCAAAGGTGTGGAGGTAG,CD13,52.22,505.0,0.764835165,0,nodrug,0.6730228042329954 -4571,GCCATCTGGTCCTGGTTGAGGATGAGGCAG,MED12,43.09,938.0,0.44155844200000005,0,AZD_200nM,0.48441873023298265 -4572,GCCATCTGGTCCTGGTTGAGGATGAGGCAG,MED12,43.09,938.0,0.423160173,0,PLX_2uM,0.48441873023298265 -4573,TTGCTCTGGTTGTAGTAGCCGAGCAGGGTC,H2-K,27.91,103.0,0.556213018,0,nodrug,0.5285519042672828 -4574,TCCGTCTGTCACAGGATTGGCTGCAGGGAC,CD43,34.94,138.0,0.29710144899999996,0,nodrug,0.48027673426056144 -4575,TTGTTCTGTCATCTTGCAGCGTTGTGGAGA,MED12,24.8,540.0,0.883116883,1,AZD_200nM,0.6843248541528112 -4576,TTGTTCTGTCATCTTGCAGCGTTGTGGAGA,MED12,24.8,540.0,0.91991342,1,PLX_2uM,0.6843248541528112 -4577,CACCTCTGTGAGGAAGCAGATATCCGGTGT,NF1,25.33,719.0,0.592391304,0,PLX_2uM,0.5292220033079672 -4578,ATGATCTGTGCCCGATTGATGACAGGGATG,CD13,67.74,655.0,0.9043956040000001,1,nodrug,0.6779126320156985 -4579,CGCCTCTTAACAATGGTCTTGTGAAGGCTT,NF1,28.5,809.0,0.711956522,0,PLX_2uM,0.5780913449637693 -4580,TCCTTCTTACTGAAAATGGGGACCTGGATG,MED12,6.11,133.0,0.7640692640000001,0,AZD_200nM,0.6022966502726382 -4581,TCCTTCTTACTGAAAATGGGGACCTGGATG,MED12,6.11,133.0,0.841991342,1,PLX_2uM,0.6022966502726382 -4582,AGGGTCTTCAGGAACCCCATGGTCTGGCCA,CD45,57.35,648.0,0.45126353799999996,0,nodrug,0.48191373001813426 -4583,CACCTCTTCCTTCTTACTGAAAATGGGGAC,MED12,6.25,136.0,0.5021645020000001,0,AZD_200nM,0.4306200806285212 -4584,CACCTCTTCCTTCTTACTGAAAATGGGGAC,MED12,6.25,136.0,0.41774891799999997,0,PLX_2uM,0.4306200806285212 -4585,CAGGTCTTCTGCCAAGGATCTCCGTGGTCT,CD5,22.27,110.0,0.949790795,1,nodrug,0.7522305948255882 -4586,GGGGTCTTCTGGAAGTGGGGTGCTGGGACC,CD13,26.47,256.0,0.27582417600000003,0,nodrug,0.4191174054163142 -4587,CTCATCTTCTGGGGGCAGTGGCAGTGGCTC,MED12,80.06,1743.0,0.224025974,0,AZD_200nM,0.37423319397357574 -4588,CTCATCTTCTGGGGGCAGTGGCAGTGGCTC,MED12,80.06,1743.0,0.239177489,0,PLX_2uM,0.37423319397357574 -4589,CACTTCTTCTTACTGATATTTCAATGGAAA,NF1,86.9,2467.0,0.34918478299999994,0,PLX_2uM,0.4438182211994377 -4590,ATTGTCTTCTTTGGAGACTTCTGCTGGTGC,CD43,22.28,88.0,0.760869565,0,nodrug,0.45936629755872915 -4591,AACGTCTTGCTCGAGATGTGATGAAGGAGA,HPRT1,24.77,54.0,0.71875,0,6TG_2ug/mL,0.6112246116883671 -4592,TCCATCTTGGTGATCCCGTTTCGCCGGTAC,TADA2B,70.48,296.0,0.615789474,0,AZD_200nM,0.5063159787082522 -4593,TCAGTCTTGTCAATGTCGGGGGGCTGGGAG,CD13,15.2,147.0,0.054945055,0,nodrug,0.3202667489101104 -4594,GCGATCTTGTCCAGAGCTTTCCGAAGGATG,CCDC101,26.62,78.0,0.959731544,1,AZD_200nM,0.6256726836830306 -4595,TGGATCTTTAATTGCAGCTACGTGTGGATT,CD13,60.29,583.0,0.079120879,0,nodrug,0.6021587681229278 -4596,GCAGTCTTTAGTCGCATTTCTACCAGGTTA,NF1,5.6,159.0,0.653532609,0,PLX_2uM,0.545113598888741 -4597,GAATTCTTTATGAATACTTAGCAGAGGCCA,NF1,93.13,2644.0,0.464673913,0,PLX_2uM,0.3524489037342037 -4598,TGGCTCTTTCTTGACACATCTGTCCGGGAC,CD5,43.12,213.0,0.389121339,0,nodrug,0.4733350643971844 -4599,TTCTTCTTTGAGCCTACCTTGGCCTGGACG,NF2,24.87,148.0,0.843049327,1,PLX_2uM,0.4867384016558519 -4600,ATGATGAAAAGCAGCTGATGGATGTGGAGC,CD45,40.27,455.0,0.577617329,0,nodrug,0.5945491803100119 -4601,TGGCTGAAAAGGCCCAGATCACCGAGGAGG,NF2,65.71,391.0,0.64573991,0,PLX_2uM,0.7852936012774071 -4602,GTCTTGAAAAGGTGAAGGAGGATGCGGCAG,MED12,53.97,1175.0,0.995670996,1,AZD_200nM,0.6547343437001435 -4603,GTCTTGAAAAGGTGAAGGAGGATGCGGCAG,MED12,53.97,1175.0,0.9707792209999999,1,PLX_2uM,0.6547343437001435 -4604,GCATTGAAACAATGATGTTAAATCTGGTCA,NF1,35.01,994.0,0.039402174,0,PLX_2uM,0.36969740121218286 -4605,TTTTTGAAAGGATATAATTGACACTGGCAA,HPRT1,63.3,138.0,0.296875,0,6TG_2ug/mL,0.5258598982205184 -4606,GTAGTGAACAGGACTCTGAGCCAGGGGCCC,MED12,53.61,1167.0,0.984848485,1,AZD_200nM,0.7266640689488382 -4607,GTAGTGAACAGGACTCTGAGCCAGGGGCCC,MED12,53.61,1167.0,0.9512987009999999,1,PLX_2uM,0.7266640689488382 -4608,CAAGTGAACCAGAAGGATAACTTCTGGCTG,MED12,4.69,102.0,0.711038961,0,AZD_200nM,0.46427049115800345 -4609,CAAGTGAACCAGAAGGATAACTTCTGGCTG,MED12,4.69,102.0,0.7370129870000001,0,PLX_2uM,0.46427049115800345 -4610,AGTATGAACCATTATCCCTCCTCCTGGCGT,CD33,30.22,110.0,0.792207792,0,nodrug,0.5954710415216085 -4611,GCCCTGAACGAAGACCTGAAAACGTGGACG,H2-K,41.46,153.0,0.5443786979999999,0,nodrug,0.6999763175963257 -4612,AGGCTGAACGCACGAGGGATGAGTTGGAGA,NF2,59.66,355.0,0.686098655,0,PLX_2uM,0.5861613235995786 -4613,CGGGTGAACTACGACGAAGAGAACTGGAGG,CD13,65.98,638.0,0.7934065929999999,0,nodrug,0.49657620057512214 -4614,TCAATGAACTCAAGACAGAAATCGAGGCCT,NF2,91.76,546.0,0.295964126,0,PLX_2uM,0.5131477835540039 -4615,ACTTTGAACTGGTAAGGTTAAGGCTGGACC,NF1,55.02,1562.0,0.392663043,0,PLX_2uM,0.5868524115495967 -4616,AAGGTGAACTGGTTCTCATCTACTAGGCAG,NF1,63.19,1794.0,0.986413043,1,PLX_2uM,0.5496458140694727 -4617,CTTGTGAACTTGTGTTGTTGCAGTTGGATA,CD5,23.48,116.0,0.171548117,0,nodrug,0.49373646778596325 -4618,GGTGTGAAGAAAATGGCAGATTTCTGGCAG,NF1,4.12,117.0,0.076086957,0,PLX_2uM,0.24174338499598733 -4619,ATGTTGAAGCGCAGCCGGCAGTCAGGGGGC,CD15,39.62,210.0,0.600732601,0,nodrug,0.5090516214504407 -4620,TGCATGAAGGTGAGCGGCGTGCCCTGGTTT,NF1,63.65,1807.0,0.9076086959999999,1,PLX_2uM,0.5485418240507263 -4621,ATCTTGAAGGTTCTGAACCGCAAAGGGACA,MED12,36.06,785.0,0.66017316,0,AZD_200nM,0.5385123776794151 -4622,ATCTTGAAGGTTCTGAACCGCAAAGGGACA,MED12,36.06,785.0,0.608225108,0,PLX_2uM,0.5385123776794151 -4623,AGCTTGAAGTAGCTCAGGCTGCTCAGGGCG,CD13,72.39,700.0,0.548351648,0,nodrug,0.38285276276861563 -4624,TCCCTGAAGTATTCATTATAGTCAAGGGCA,HPRT1,88.99,194.0,0.25,0,6TG_2ug/mL,0.4753194360455524 -4625,GCGTTGAAGTCTGGCAGGCCAATCTGGTCT,CD13,35.57,344.0,0.182417582,0,nodrug,0.3822893541380724 -4626,AATTTGAAGTGAATACACAGAGCGTGGCCT,NF1,85.77,2435.0,0.24048913,0,PLX_2uM,0.5776055025772899 -4627,ATGATGAATGGGATATGTATCCATAGGAAC,NF1,87.14,2474.0,0.7839673909999999,0,PLX_2uM,0.5422822219810527 -4628,ACAATGAATGGGCCTCACCTGGCTCGGCCT,NF2,33.45,199.0,0.7219730940000001,0,PLX_2uM,0.5407001574793491 -4629,TGGATGAATTCAGGCAACATCTACAGGCAA,CUL3,63.93,491.0,0.61038961,0,PLX_2uM,0.5388353972867208 -4630,GTATTGAATTGAAACACCTTTGTTTGGAAT,NF1,68.51,1945.0,0.52173913,0,PLX_2uM,0.395354271330073 -4631,CAGCTGACAACCAGGAGAAGATCGGGGGTG,CD33,48.35,176.0,0.818181818,1,nodrug,0.6912171347312163 -4632,CTGTTGACATCATATTGCTGACAGAGGCAA,NF1,26.21,744.0,0.94701087,1,PLX_2uM,0.749399191368666 -4633,ATACTGACATGAAGCGGCTTTCCATGGAGA,NF2,87.06,518.0,0.5201793720000001,0,PLX_2uM,0.5056522366343192 -4634,GCCATGACCCTGCCCCTGTGGATCGGGAAG,CCDC101,45.73,134.0,0.604026846,0,AZD_200nM,0.42769473721269907 -4635,GTGATGACCGGGAAGCCCATCTGCAGGGTC,CD13,56.46,546.0,0.8714285709999999,1,nodrug,0.5489910333041244 -4636,CATGTGACCGTGGACGTGTTCGGCCGGGGC,CD15,73.02,387.0,0.523809524,0,nodrug,0.40625517958018387 -4637,TGTTTGACGCCATCTCCTACAGCAAGGTGC,CD13,49.43,478.0,0.720879121,0,nodrug,0.6774965962058763 -4638,ATACTGACGTCAGTTGTGTCAAGAAGGAAA,TADA1,57.61,193.0,0.165137615,0,AZD_200nM,0.5610752704210777 -4639,TGATTGACGTGCAGATTCCAGAGACGGAAC,CD28,45.87,100.0,0.905405405,1,nodrug,0.6399623143916191 -4640,CCCTTGACTATAATGAATACTTCAGGGATT,HPRT1,91.28,199.0,0.265625,0,6TG_2ug/mL,0.40664546199398705 -4641,TACATGACTGCACACCAAAAGAAAAGGCTA,CD45,11.15,126.0,0.624548736,0,nodrug,0.5568619065186048 -4642,CATTTGACTGGTATTTCCACTAGAAGGAAT,NF1,22.44,637.0,0.258152174,0,PLX_2uM,0.45404033905749464 -4643,TTGATGACTTCTGGAGGATGATCTGGGAGC,CD45,50.09,566.0,0.754512635,0,nodrug,0.6158451848955094 -4644,GTTTTGAGAAGATCCGCCCTGGAGAGGATG,MED12,12.31,268.0,0.70995671,0,AZD_200nM,0.611156525633696 -4645,GTTTTGAGAAGATCCGCCCTGGAGAGGATG,MED12,12.31,268.0,0.7164502159999999,0,PLX_2uM,0.611156525633696 -4646,CCCCTGAGAAGCCAGATGTCGAGAAGGAGG,MED12,32.48,707.0,0.41991342,0,AZD_200nM,0.6301375662298284 -4647,CCCCTGAGAAGCCAGATGTCGAGAAGGAGG,MED12,32.48,707.0,0.44047619,0,PLX_2uM,0.6301375662298284 -4648,TGTGTGAGAAGTCTATGAGCTTCAAGGTCA,TADA1,13.73,46.0,0.28440367,0,AZD_200nM,0.5194851446610783 -4649,ATCCTGAGAATGCTGAAGAGGAGCTGGTTC,NF2,18.15,108.0,0.49775784799999995,0,PLX_2uM,0.5437057733559768 -4650,GTAGTGAGACACAGCTCCCGTTCGGGGCCT,CD5,48.79,241.0,0.41841004200000004,0,nodrug,0.6109769226487038 -4651,CTCTTGAGAGAGCTGAAGCTCATGCGGGAA,NF2,1.51,9.0,0.470852018,0,PLX_2uM,0.5547627323140457 -4652,ATAATGAGAGGTATTCAGGAGACCTGGAGT,CUL3,50.0,384.0,0.9090909090000001,1,PLX_2uM,0.5956476838168439 -4653,AGTATGAGATGGACAGCGAGTTCGAGGGGG,CD13,18.82,182.0,0.38021978,0,nodrug,0.5572006408700896 -4654,AATCTGAGCAAAGGCACGGGCAGCCGGAAG,CUL3,1.3,10.0,0.590909091,0,PLX_2uM,0.4696609388616839 -4655,CCCCTGAGCAGCAATCATCATTTCTGGTTT,CD45,75.84,857.0,0.054151625,0,nodrug,0.14828396544498243 -4656,TCCCTGAGCATCGTAGACGCCAGGAGGAGG,CD33,29.95,109.0,0.9718614720000001,1,nodrug,0.7088992348242928 -4657,GGCCTGAGCCCCGCGCCATGGCCGGGGCCA,NF2,0.34,2.0,0.165919283,0,PLX_2uM,0.41931555855227903 -4658,TGCCTGAGCCCCTCACCCTGAGATGGGGTA,H2-K,79.67,294.0,0.147928994,0,nodrug,0.4056314586812117 -4659,GATATGAGCCGCGGGCGCGGTGGATGGAGC,H2-K,19.51,72.0,0.74556213,0,nodrug,0.5487773110568445 -4660,TCTTTGAGCCTACCTTGGCCTGGACGGCGT,NF2,24.71,147.0,0.811659193,1,PLX_2uM,0.5648274151139437 -4661,CCGCTGAGCCTGATCTGCCTAGGTGGGTGA,CD5,27.13,134.0,0.891213389,1,nodrug,0.6209059153740875 -4662,ACGGTGAGCGCCTGGCCGCCCTCCTGGGCC,CD5,52.23,258.0,0.142259414,0,nodrug,0.2389498659027394 -4663,TCAGTGAGCTCTTCACTACTGTGTTGGACA,MED12,72.67,1582.0,0.627705628,0,AZD_200nM,0.5746944680612854 -4664,TCAGTGAGCTCTTCACTACTGTGTTGGACA,MED12,72.67,1582.0,0.574675325,0,PLX_2uM,0.5746944680612854 -4665,GGATTGAGCTGCGGTGTCTTGAAAAGGTGA,MED12,54.2,1180.0,0.887445887,1,AZD_200nM,0.6142960227086507 -4666,GGATTGAGCTGCGGTGTCTTGAAAAGGTGA,MED12,54.2,1180.0,0.7792207790000001,0,PLX_2uM,0.6142960227086507 -4667,AGGCTGAGCTGCTTCTCAAATCCTCGGATC,MED12,41.85,911.0,0.807359307,1,AZD_200nM,0.6071185659617081 -4668,AGGCTGAGCTGCTTCTCAAATCCTCGGATC,MED12,41.85,911.0,0.8365800870000001,1,PLX_2uM,0.6071185659617081 -4669,CGCATGAGCTTCAGCTCTCTCAAGAGGAAG,NF2,2.52,15.0,0.457399103,0,PLX_2uM,0.5986662954251039 -4670,GGTCTGAGGAGACAGCTGACCTGTTGGCTG,NF2,64.37,383.0,0.41704035899999997,0,PLX_2uM,0.6099839641058186 -4671,CAGCTGAGGCCAAAAACCAGGGGCCGGTGC,MED12,16.4,357.0,0.45670995700000006,0,AZD_200nM,0.5476675856384265 -4672,CAGCTGAGGCCAAAAACCAGGGGCCGGTGC,MED12,16.4,357.0,0.520562771,0,PLX_2uM,0.5476675856384265 -4673,TGGCTGAGGCGGACGGGGTGGTGGAGGCCA,CD13,5.07,49.0,0.231868132,0,nodrug,0.3538661349501705 -4674,AAACTGAGGTGCCACGGGCCACACTGGAAC,CD43,54.94,217.0,0.34057971,0,nodrug,0.5560136696125414 -4675,GCATTGAGTAAGTTTGACATTGCAAGGACC,NF1,40.44,1148.0,0.35326087,0,PLX_2uM,0.5754553336963288 -4676,ACCTTGATATAGGGCTGGTTGGAGAGGGTG,THY1,50.62,82.0,0.64516129,0,nodrug,0.5552733467312855 -4677,GCGCTGATCACCTACGCTTGCTGGGGGCAG,CD15,32.45,172.0,0.7142857140000001,0,nodrug,0.6629418277375388 -4678,GCCCTGATCCATGCGCCCCCACAGCGGGTA,CCDC101,86.69,254.0,0.651006711,0,AZD_200nM,0.5645546092325558 -4679,TGGCTGATCGGTTTGAGAGATTGGTGGAAC,NF1,42.55,1208.0,0.895380435,1,PLX_2uM,0.7062247274805091 -4680,CAGGTGATCTCTGGCTGTGAAGTGGGGTCC,H2-K,33.6,124.0,0.402366864,0,nodrug,0.6643714337891101 -4681,CTCGTGATCTGCTCCAGAACATTCCGGGAG,MED12,39.09,851.0,0.11904761900000001,0,AZD_200nM,0.37054811142240435 -4682,CTCGTGATCTGCTCCAGAACATTCCGGGAG,MED12,39.09,851.0,0.130952381,0,PLX_2uM,0.37054811142240435 -4683,TGGTTGATGAAAACAACATGAATAAGGTAA,NF1,10.39,295.0,0.19701087,0,PLX_2uM,0.36761995256202123 -4684,TTGCTGATGAGGGCAGACTGTTCCTGGCTG,CD45,42.39,479.0,0.34657039700000003,0,nodrug,0.36969297830000214 -4685,GAATTGATGCCATGCTGGAAGGCCTGGAAG,CD45,61.77,698.0,0.0433213,0,nodrug,0.437564988957523 -4686,AGATTGATGCTGTGTATTGTCACTCGGTTG,NF1,15.32,435.0,0.544836957,0,PLX_2uM,0.6225278032617481 -4687,AGGATGATGCTTGCCACAGTGCCTGGGGCC,CD5,76.32,377.0,0.09205020900000001,0,nodrug,0.3490307596350567 -4688,GCTGTGATGGGTCACATGGGCCTTTGGGGA,H2-K,56.37,208.0,0.017751479,0,nodrug,0.23488375449339813 -4689,TTCATGATGTCCCGCACGGTGGTGGGGAGT,CD13,55.22,534.0,0.401098901,0,nodrug,0.5639967121524331 -4690,GAGGTGATGTGGACAGCGTAGCTCCGGCGC,CD15,92.64,491.0,0.9157509159999999,1,nodrug,0.48914006024122325 -4691,CACTTGATTCTTGGCTTGGTGACCTGGTGG,CD43,61.01,241.0,0.326086957,0,nodrug,0.4332560632169196 -4692,ACTATGATTTACTGCATCACTTGTAGGACA,NF1,52.45,1489.0,0.279891304,0,PLX_2uM,0.37596904974297646 -4693,TCTTTGATTTGGTGTGCCGGACTCTGGGGC,NF2,8.91,53.0,0.30044843,0,PLX_2uM,0.3738580590668715 -4694,AGTCTGCAAACCGTAGGAAGAGCTGGGAGT,MED12,88.84,1934.0,0.33008658,0,AZD_200nM,0.3859968937250526 -4695,AGTCTGCAAACCGTAGGAAGAGCTGGGAGT,MED12,88.84,1934.0,0.25974026,0,PLX_2uM,0.3859968937250526 -4696,CTACTGCAACGCTATCGCCCAGGGCGGGGA,CD13,83.04,803.0,0.6725274729999999,0,nodrug,0.6414100387817804 -4697,TCTCTGCAATAATGCTGCTGAAGTTGGAAC,MED12,3.35,73.0,0.06818181799999999,0,AZD_200nM,0.3950650243696381 -4698,TCTCTGCAATAATGCTGCTGAAGTTGGAAC,MED12,3.35,73.0,0.018398268,0,PLX_2uM,0.3950650243696381 -4699,GAGCTGCAATAGTCACTGGAGCTGTGGTGG,H2-K,87.26,322.0,0.46153846200000004,0,nodrug,0.5182836419994132 -4700,AACATGCACAAAGAAAAAATGCTCCGGGCC,TADA2B,67.62,284.0,0.2,0,AZD_200nM,0.46187812365885994 -4701,ATTCTGCACAATGAGAACTCCGACAGGGGT,NF2,95.29,567.0,0.013452915,0,PLX_2uM,0.2703857755833763 -4702,ATTGTGCACACGGCTGCCACGCCCAGGAGG,CD13,1.96,19.0,0.664835165,0,nodrug,0.5386557190219088 -4703,TGTTTGCACACTGCAGAGGCCTGCTGGGCA,CD5,15.18,75.0,0.10041841,0,nodrug,0.35784572812433524 -4704,GAGGTGCACCACCAGGTACTCGGTGGGCTC,CD13,16.55,160.0,0.930769231,1,nodrug,0.6515783757930009 -4705,ACCATGCACCTCCGTACCTTCATGGGGCCA,CD13,74.25,718.0,0.8428571429999999,1,nodrug,0.6014233701760252 -4706,GCCTTGCACCTTCTCCTCCTCTTTGGGGCA,CD43,2.28,9.0,0.115942029,0,nodrug,0.13121886090502297 -4707,CTCCTGCACTTGCAGCCAGAAATTTGGATC,CD33,5.77,21.0,0.04978355,0,nodrug,0.2241108882041799 -4708,AATGTGCAGAAAAGCTATTTGACTTGGTGG,NF1,8.84,251.0,0.979619565,1,PLX_2uM,0.5796056390644752 -4709,TCCTTGCAGAATCCAAGAAAACAGGGGCCC,NF1,18.1,514.0,0.7527173909999999,0,PLX_2uM,0.7485698736972463 -4710,ACTATGCAGCAATCTCTGAGACCAAGGTTA,MED12,7.95,173.0,0.555194805,0,AZD_200nM,0.6713940725902424 -4711,ACTATGCAGCAATCTCTGAGACCAAGGTTA,MED12,7.95,173.0,0.577922078,0,PLX_2uM,0.6713940725902424 -4712,CATCTGCAGCCTGCATCTGTGTAGTGGCCA,CD13,21.72,210.0,0.771428571,0,nodrug,0.6209862981102425 -4713,GAACTGCAGCGGTACCGGCGAAACGGGATC,TADA2B,70.71,297.0,0.21052631600000002,0,AZD_200nM,0.37734916809011065 -4714,ACTTTGCAGCGTACCGCCCCTGACAGGGAC,CD28,101.0,300.54649889999996,0.33783783799999995,0,nodrug,0.27659861359149346 -4715,GCAGTGCAGGAGGGTAAGGAGATGTGGGAG,NF1,97.22,2760.0,0.16304347800000002,0,PLX_2uM,0.14568536664085469 -4716,CACCTGCAGGTAGTGGCTGGTTCTGGGTGT,MED12,84.75,1845.0,0.27056277100000004,0,AZD_200nM,0.3165704755470196 -4717,CACCTGCAGGTAGTGGCTGGTTCTGGGTGT,MED12,84.75,1845.0,0.33766233799999995,0,PLX_2uM,0.3165704755470196 -4718,ACATTGCAGGTCCGTGCAAAGTTGCGGGAG,MED12,19.34,421.0,0.13203463199999999,0,AZD_200nM,0.5249097930798552 -4719,ACATTGCAGGTCCGTGCAAAGTTGCGGGAG,MED12,19.34,421.0,0.26082251100000003,0,PLX_2uM,0.5249097930798552 -4720,GCGTTGCAGTAGACGGTGGACCGCAGGTTG,CD13,82.01,793.0,0.7813186809999999,0,nodrug,0.4458710619686482 -4721,TGGCTGCAGTGACAGGAGGGTCACTGGCTA,CD43,31.14,123.0,0.311594203,0,nodrug,0.5029738163542893 -4722,TTTTTGCATCTTGGCAGGCTACACTGGTAA,NF1,92.46,2625.0,0.805706522,1,PLX_2uM,0.2920621585028872 -4723,GATCTGCATGAATTAGTTTCACCATGGACA,NF1,17.51,497.0,0.433423913,0,PLX_2uM,0.650542726399894 -4724,CTTATGCATGAGGCACTCAAACTGCGGCTC,MED12,70.51,1535.0,0.508658009,0,AZD_200nM,0.6595213283400614 -4725,CTTATGCATGAGGCACTCAAACTGCGGCTC,MED12,70.51,1535.0,0.531385281,0,PLX_2uM,0.6595213283400614 -4726,AGATTGCCACCAAGCCCACGTACCCGGTGA,NF2,80.84,481.0,0.434977578,0,PLX_2uM,0.5324846043111241 -4727,CCCATGCCACCAGCCCCTGTTTCCTGGACA,CD15,66.6,353.0,0.446886447,0,nodrug,0.2842169858101528 -4728,CTGCTGCCACCTTGGCTTTAGAAGAGGACC,NF1,61.08,1734.0,0.479619565,0,PLX_2uM,0.6456178357451249 -4729,AGAATGCCAGCCCATCAGTTTCTGTGGGGT,CD43,12.66,50.0,0.449275362,0,nodrug,0.524675585594443 -4730,CTGGTGCCAGGACACGAAGGCCTGAGGTGC,CD5,34.01,168.0,0.665271967,0,nodrug,0.6365028320079873 -4731,TACTTGCCAGGCTTCGCAGCCCCGGGGAGT,CD15,57.55,305.0,0.9267399270000001,1,nodrug,0.6985503515702125 -4732,GCCATGCCATCAAGAAAATCACCAAGGATA,MED12,35.6,775.0,0.444805195,0,AZD_200nM,0.7027477740713001 -4733,GCCATGCCATCAAGAAAATCACCAAGGATA,MED12,35.6,775.0,0.5021645020000001,0,PLX_2uM,0.7027477740713001 -4734,AGGATGCCCCATCACTCACCGGGGAGGCTG,CD33,84.62,308.0,0.385281385,0,nodrug,0.6134345486703252 -4735,GCTGTGCCCCGAGTGCTTCTCGGCCGGCGC,TADA2B,8.81,37.0,0.473684211,0,AZD_200nM,0.49610834170140944 -4736,TCTGTGCCCGATTGATGACAGGGATGGCCT,CD13,67.63,654.0,0.751648352,0,nodrug,0.6189655243448405 -4737,ACTGTGCCCTCCAGATGCGGTCTGAGGAGA,NF2,63.36,377.0,0.278026906,0,PLX_2uM,0.5928791123018909 -4738,ACATTGCCCTCCATGTACTCGCTGCGGTAG,CD13,20.27,196.0,0.547252747,0,nodrug,0.6706347582586454 -4739,GCAATGCCCTTATGCACGTCTGTGTGGGGC,MED12,48.78,1062.0,0.278138528,0,AZD_200nM,0.5639890005020274 -4740,GCAATGCCCTTATGCACGTCTGTGTGGGGC,MED12,48.78,1062.0,0.286796537,0,PLX_2uM,0.5639890005020274 -4741,CGAATGCCGAGTTCAACTGCGACGGGGATT,CD28,40.37,88.0,0.6081081079999999,0,nodrug,0.6926719041745274 -4742,ATCCTGCCGATGACCCAGAGCACAAGGAGG,MED12,29.67,646.0,0.470779221,0,AZD_200nM,0.5569992448081846 -4743,ATCCTGCCGATGACCCAGAGCACAAGGAGG,MED12,29.67,646.0,0.656926407,0,PLX_2uM,0.5569992448081846 -4744,ACAGTGCCGCTGATGATGATCTCCAGGAGG,MED12,71.8,1563.0,0.6634199129999999,0,AZD_200nM,0.5027458584512182 -4745,ACAGTGCCGCTGATGATGATCTCCAGGAGG,MED12,71.8,1563.0,0.582251082,0,PLX_2uM,0.5027458584512182 -4746,CTCTTGCCGGCAGAGTGGAATACATGGAAA,NF2,88.74,528.0,0.798206278,0,PLX_2uM,0.5393052395389291 -4747,AGATTGCCGGTCTCTACAATGACTCGGAGC,CCDC101,36.18,106.0,0.355704698,0,AZD_200nM,0.6253624184832453 -4748,TTGGTGCCGTGGTCCTGGGGCCGTGGGGTG,CD33,55.49,202.0,0.545454545,0,nodrug,0.42077083916474706 -4749,TGGCTGCCTCCCAGAACCGCATCGTGGATG,MED12,55.81,1215.0,0.822510823,1,AZD_200nM,0.7319097081981075 -4750,TGGCTGCCTCCCAGAACCGCATCGTGGATG,MED12,55.81,1215.0,0.8744588740000001,1,PLX_2uM,0.7319097081981075 -4751,GTTTTGCCTCCTCCTCGGTGATCTGGGCCT,NF2,65.55,390.0,0.9058295959999999,1,PLX_2uM,0.4265607283934021 -4752,TTTCTGCCTCGGACAGTCTGGAAGGGGTGG,CD5,5.26,26.0,0.6359832639999999,0,nodrug,0.5904467613024893 -4753,ATCATGCCTGCCTCATCCTCAACCAGGACC,MED12,43.18,940.0,0.768398268,0,AZD_200nM,0.6704868711205001 -4754,ATCATGCCTGCCTCATCCTCAACCAGGACC,MED12,43.18,940.0,0.7132034629999999,0,PLX_2uM,0.6704868711205001 -4755,ACAGTGCCTGGGGCCAGGCCCGCTGGGTTT,CD5,75.3,372.0,0.284518828,0,nodrug,0.3402521810465439 -4756,ACAGTGCCTGTGATGCGGGCTGCCTGGCTC,MED12,7.21,157.0,0.11038961,0,AZD_200nM,0.40617122973537506 -4757,ACAGTGCCTGTGATGCGGGCTGCCTGGCTC,MED12,7.21,157.0,0.187229437,0,PLX_2uM,0.40617122973537506 -4758,TCATTGCCTTCCGTTCCAGTTACCGGGACA,NF1,76.86,2182.0,0.596467391,0,PLX_2uM,0.4190126819182798 -4759,TTTCTGCCTTGTTTCTTTCCTCTCTGGGTC,CUL3,89.58,688.0,0.006493506,0,PLX_2uM,0.23570879569922845 -4760,AGTGTGCGCCTGGATGCCCCAGGGCGGGGG,CD15,47.74,253.0,0.21611721600000003,0,nodrug,0.5941569834167838 -4761,AGAATGCGCTTTATGCGCTGCCGCTGGGGG,MED12,61.6,1341.0,0.019480518999999998,0,AZD_200nM,0.3645334982008117 -4762,AGAATGCGCTTTATGCGCTGCCGCTGGGGG,MED12,61.6,1341.0,0.002164502,0,PLX_2uM,0.3645334982008117 -4763,ACTATGCGGAGCCCACCTGGAACTTGGTAA,CD13,44.47,430.0,0.651648352,0,nodrug,0.5156182567129102 -4764,TGGTTGCGGGAAATATTGATCTGCAGGAAT,NF1,21.35,606.0,0.21739130399999998,0,PLX_2uM,0.48834651504461374 -4765,GCAATGCGGGAATCGGCAGACACGAGGGCC,CCDC101,1.37,4.0,0.33557047,0,AZD_200nM,0.540492280249963 -4766,ACCGTGCGGGACATCATGAACCGCTGGACC,CD13,56.05,542.0,0.585714286,0,nodrug,0.5831562725620875 -4767,GCTTTGCGTAGAGACTTTACCACTTGGAAA,CD45,90.71,1025.0,0.8267148009999999,1,nodrug,0.48247620563413557 -4768,TGGCTGCTACTGACCTCCTGCAGGTGGTCC,CD13,53.88,521.0,0.628571429,0,nodrug,0.6335735917089584 -4769,CTGCTGCTACTGCTGCCCCTGCTGTGGGCA,CD33,2.75,10.0,0.40692640700000005,0,nodrug,0.4654113965112829 -4770,CGATTGCTAGGCCCGGTATGGGTAAGGTCC,NF1,57.98,1646.0,0.8138586959999999,1,PLX_2uM,0.5218929034853111 -4771,TGACTGCTCACACCATCCAGCTGCAGGGCC,MED12,14.15,308.0,0.267316017,0,AZD_200nM,0.4509462973654692 -4772,TGACTGCTCACACCATCCAGCTGCAGGGCC,MED12,14.15,308.0,0.268398268,0,PLX_2uM,0.4509462973654692 -4773,CTGCTGCTCAGCATCATCAGGGGGTGGGTG,TADA1,74.63,250.0,0.403669725,0,AZD_200nM,0.3931539325148291 -4774,GCCATGCTCATCCCCAGAGACAGCAGGCTG,MED12,2.34,51.0,0.724025974,0,AZD_200nM,0.5585146894633541 -4775,GCCATGCTCATCCCCAGAGACAGCAGGCTG,MED12,2.34,51.0,0.687229437,0,PLX_2uM,0.5585146894633541 -4776,TGATTGCTCATGAGCTGGCCCACCAGGTAG,CD13,40.54,392.0,0.31098901100000004,0,nodrug,0.47201859868467483 -4777,CTCCTGCTCCATCCACCGCGCCCGCGGCTC,H2-K,18.97,70.0,0.73964497,0,nodrug,0.5653621245276174 -4778,TTGCTGCTCTACCACACACACCTGAGGCCC,MED12,79.47,1730.0,0.814935065,1,AZD_200nM,0.6225093446159657 -4779,TTGCTGCTCTACCACACACACCTGAGGCCC,MED12,79.47,1730.0,0.765151515,0,PLX_2uM,0.6225093446159657 -4780,AGAATGCTGAAGAGGAGCTGGTTCAGGAGA,NF2,18.49,110.0,0.582959641,0,PLX_2uM,0.3832039591478959 -4781,GACATGCTGAGCGTGCTCATCAATGGGACA,MED12,73.08,1591.0,0.158008658,0,AZD_200nM,0.43190621868351003 -4782,GACATGCTGAGCGTGCTCATCAATGGGACA,MED12,73.08,1591.0,0.134199134,0,PLX_2uM,0.43190621868351003 -4783,CTGATGCTGAGTGAATATTCCATGAGGTCG,MED12,40.42,880.0,0.974025974,1,AZD_200nM,0.77818365363132 -4784,CTGATGCTGAGTGAATATTCCATGAGGTCG,MED12,40.42,880.0,0.9794372290000001,1,PLX_2uM,0.77818365363132 -4785,GTCTTGCTGCAGCTCTTCATGATTTGGATG,TADA1,93.43,313.0,0.174311927,0,AZD_200nM,0.21791253701676302 -4786,CAGCTGCTGCCCTCACTTGTCACCAGGCTT,CCDC101,47.44,139.0,0.19463087199999998,0,AZD_200nM,0.4723357593112564 -4787,AGCCTGCTGCTCAGCATCATCAGGGGGTGG,TADA1,74.93,251.0,0.339449541,0,AZD_200nM,0.5432419279249239 -4788,CTGTTGCTGCTGCTGCTGCTGCTCAGGTAG,MED12,94.21,2051.0,0.050865800999999995,0,AZD_200nM,0.18011018899326503 -4789,CTGTTGCTGCTGCTGCTGCTGCTCAGGTAG,MED12,94.21,2051.0,0.097402597,0,PLX_2uM,0.18011018899326503 -4790,TTGTTGCTGCTGGAGGAGGACAGGGGGTCG,CD13,38.47,372.0,0.6989010990000001,0,nodrug,0.5895871305356989 -4791,TTTCTGCTGGAAACTGAGGTGCCACGGGCC,CD43,55.7,220.0,0.094202899,0,nodrug,0.4976238104982602 -4792,TAGATGCTGGCGATGATGTCATAGAGGAAC,CD45,92.65,1047.0,0.722021661,0,nodrug,0.549355248376561 -4793,AGGCTGCTGGGGAAGAATTGGAGAAGGGTC,MED12,66.7,1452.0,0.7813852809999999,0,AZD_200nM,0.646236015032614 -4794,AGGCTGCTGGGGAAGAATTGGAGAAGGGTC,MED12,66.7,1452.0,0.712121212,0,PLX_2uM,0.646236015032614 -4795,AAGGTGCTGGGGAATAGTACCTGGGGGATG,MED12,34.08,742.0,0.898268398,1,AZD_200nM,0.7881267792819472 -4796,AAGGTGCTGGGGAATAGTACCTGGGGGATG,MED12,34.08,742.0,0.941558442,1,PLX_2uM,0.7881267792819472 -4797,GGCCTGCTGGTGCACATAGCCACTGGGCCG,MED12,91.73,1997.0,0.22835497800000001,0,AZD_200nM,0.28721367026744776 -4798,GGCCTGCTGGTGCACATAGCCACTGGGCCG,MED12,91.73,1997.0,0.25108225100000003,0,PLX_2uM,0.28721367026744776 -4799,ATTCTGCTGTACTGCCTTGGGTTTCGGGCC,NF1,18.25,518.0,0.12771739099999999,0,PLX_2uM,0.1793587442862159 -4800,AAGCTGCTGTCTGTTGCTGCTGCTGGGTCT,MED12,98.62,2147.0,0.010822511000000002,0,AZD_200nM,0.05043664136191033 -4801,AAGCTGCTGTCTGTTGCTGCTGCTGGGTCT,MED12,98.62,2147.0,0.005411255,0,PLX_2uM,0.05043664136191033 -4802,GTGCTGCTGTGGTGGGAGCCCTTCGGGGGG,CD15,37.36,198.0,0.172161172,0,nodrug,0.17514171432447811 -4803,CCGATGCTGTTCTGAGGGAAACGCTGGCTA,NF1,49.17,1396.0,0.576086957,0,PLX_2uM,0.6212886074499726 -4804,GACCTGCTTATGTGCCCTCAGCACCGGCCC,MED12,16.31,355.0,0.503246753,0,AZD_200nM,0.5517895366235085 -4805,GACCTGCTTATGTGCCCTCAGCACCGGCCC,MED12,16.31,355.0,0.693722944,0,PLX_2uM,0.5517895366235085 -4806,TCCCTGCTTCATACGGTGAGACAATGGCAG,NF1,49.98,1419.0,0.737771739,0,PLX_2uM,0.6366833139715796 -4807,CCTCTGCTTCCAGGCCTTCCAGCATGGCAT,CD45,61.59,696.0,0.6750902529999999,0,nodrug,0.5509588839184562 -4808,TTGGTGCTTCCCGGACTCCCCAAGAGGTGA,TADA2B,24.76,104.0,0.9842105259999999,1,AZD_200nM,0.7381090585500831 -4809,CATTTGCTTGCAGTGCCACTCCAGAGGATT,NF1,83.41,2368.0,0.514945652,0,PLX_2uM,0.5235219707275308 -4810,CTGCTGCTTGGAGTGGATGCCCTGGGGCTT,NF2,40.17,239.0,0.542600897,0,PLX_2uM,0.667525717938572 -4811,TACTTGCTTTACACAGTTTGACACAGGCAA,NF1,11.45,325.0,0.648097826,0,PLX_2uM,0.6186840524688461 -4812,ACTCTGGAACAATCAGGAGAAAATTGGGCA,NF1,53.43,1517.0,0.395380435,0,PLX_2uM,0.3401523084102318 -4813,ACTCTGGAACTCCGTTGGAGCAGGCGGTGC,CD13,78.7,761.0,0.8615384620000001,1,nodrug,0.5287403924927426 -4814,CTTCTGGAAGGTTCCATCCCCTGCAGGCCT,H2-K,69.92,258.0,0.09467455599999999,0,nodrug,0.399643265850962 -4815,GACGTGGAAGTCTGTGTCGGGAATGGGAAT,CD28,32.11,70.0,0.148648649,0,nodrug,0.43226150193428176 -4816,GTGGTGGAATTCTACAATGGCAGCTGGGGT,CD5,36.44,180.0,0.020920502,0,nodrug,0.462281789502402 -4817,TACCTGGACAAAGTCCTAAAGAAAAGGATT,TADA2B,95.95,403.0,0.121052632,0,AZD_200nM,0.24408596399204424 -4818,TACGTGGACATCTTGGGCGTGGTGTGGAAC,CD13,28.02,271.0,0.356043956,0,nodrug,0.6204847771399179 -4819,TGACTGGACCCATGGGTGGGCTATAGGTTG,NF1,30.43,864.0,0.263586957,0,PLX_2uM,0.3999114045972764 -4820,TGCCTGGACGCCCTGGGCACTCATTGGAGT,MED12,93.43,2034.0,0.115800866,0,AZD_200nM,0.1852454152615672 -4821,TGCCTGGACGCCCTGGGCACTCATTGGAGT,MED12,93.43,2034.0,0.047619048,0,PLX_2uM,0.1852454152615672 -4822,AGGTTGGACGGGGCAATAGGCAAGTGGTCA,MED12,18.24,397.0,0.712121212,0,AZD_200nM,0.7394560406892686 -4823,AGGTTGGACGGGGCAATAGGCAAGTGGTCA,MED12,18.24,397.0,0.706709957,0,PLX_2uM,0.7394560406892686 -4824,CCATTGGACGGGTACTTCATACTTTGGAAG,MED12,21.08,459.0,0.806277056,1,AZD_200nM,0.5045816200965062 -4825,CCATTGGACGGGTACTTCATACTTTGGAAG,MED12,21.08,459.0,0.756493506,0,PLX_2uM,0.5045816200965062 -4826,ACCGTGGACGTGTTCGGCCGGGGCGGGCCG,CD15,73.4,389.0,0.212454212,0,nodrug,0.3331661717555792 -4827,TCTTTGGACTGCAGTACACAATCAAGGACA,NF2,11.43,68.0,0.9327354259999999,1,PLX_2uM,0.6297353574111784 -4828,GGGATGGACTGCCCTTCCCCTCACAGGGCA,MED12,31.88,694.0,0.42207792200000005,0,AZD_200nM,0.43977267568775386 -4829,GGGATGGACTGCCCTTCCCCTCACAGGGCA,MED12,31.88,694.0,0.38203463200000004,0,PLX_2uM,0.43977267568775386 -4830,TGGTTGGAGAGGGTGACGCGGGAGCGGTAC,THY1,47.53,77.0,0.193548387,0,nodrug,0.48516842241805735 -4831,CCACTGGAGAGTCCCTGGATATAATGGCTC,CD33,18.41,67.0,0.192640693,0,nodrug,0.3894892902678542 -4832,GAATTGGAGCCACTTAGCATCACCTGGATA,CD5,6.88,34.0,0.29288702899999997,0,nodrug,0.5698318245043372 -4833,GTGCTGGAGCCCTTAAAAACGTACAGGCCC,CD13,10.44,101.0,0.025274725,0,nodrug,0.6227448606955468 -4834,CCTATGGAGCCTTGCCTGTAGTTAAGGTGT,MED12,84.2,1833.0,0.496753247,0,AZD_200nM,0.40566386682338607 -4835,CCTATGGAGCCTTGCCTGTAGTTAAGGTGT,MED12,84.2,1833.0,0.426406926,0,PLX_2uM,0.40566386682338607 -4836,TACCTGGAGGGCACGTGCGTGGAGTGGCTC,H2-K,50.68,187.0,0.597633136,0,nodrug,0.6282629737621562 -4837,TCATTGGAGTCATGGTACTTATCATGGGTG,MED12,93.11,2027.0,0.140692641,0,AZD_200nM,0.27109537751848023 -4838,TCATTGGAGTCATGGTACTTATCATGGGTG,MED12,93.11,2027.0,0.124458874,0,PLX_2uM,0.27109537751848023 -4839,CTTCTGGATAGGGGTCCCTGTCAGGGGCGG,CD28,101.0,300.54649889999996,0.283783784,0,nodrug,0.37327307826118616 -4840,TCCCTGGATATAATGGCTCCTTCCCGGAAC,CD33,17.31,63.0,0.712121212,0,nodrug,0.4647171587531277 -4841,CTATTGGATATGATTGCAAGAGAGCGGAAA,CUL3,22.4,172.0,0.35714285700000004,0,PLX_2uM,0.7208637173957042 -4842,TCTATGGATCCTCCTCCACTCACATGGGAC,NF1,28.88,820.0,0.305706522,0,PLX_2uM,0.5282880662774808 -4843,GTGCTGGATCTTTGCCTTGGCCAGGGGGTT,TADA1,25.67,86.0,0.440366972,0,AZD_200nM,0.494418592493079 -4844,TCTTTGGATTATACTGCCTGACCAAGGAAA,HPRT1,68.81,150.0,0.796875,0,6TG_2ug/mL,0.6021551326243283 -4845,TCCATGGATTGGATTTAACAAATTTGGATC,NF1,94.29,2677.0,0.09510869599999999,0,PLX_2uM,0.06744283706824457 -4846,AGCCTGGCAAGTAACCTCTTCAACTGGACG,CD15,59.43,315.0,0.494505495,0,nodrug,0.5082820049835519 -4847,ACAGTGGCACACACTTCGAAGTTGAGGGGG,NF1,47.94,1361.0,0.789402174,0,PLX_2uM,0.558605082741266 -4848,AGGCTGGCACCAGATTGTAGTCACGGGCGA,TADA2B,53.57,225.0,0.9,1,AZD_200nM,0.6418521987484757 -4849,TGGCTGGCACTCACCTGCAGGTAGTGGCTG,MED12,84.93,1849.0,0.505411255,0,AZD_200nM,0.4992805759892386 -4850,TGGCTGGCACTCACCTGCAGGTAGTGGCTG,MED12,84.93,1849.0,0.492424242,0,PLX_2uM,0.4992805759892386 -4851,TCCTTGGCAGAAGACCTGGTTCTGGGGTCT,CD5,20.65,102.0,0.69874477,0,nodrug,0.6073180621018752 -4852,TATGTGGCAGCCAGCAGCACTTCGTGGGAG,CD5,1.01,5.0,0.924686192,1,nodrug,0.6131960282763085 -4853,ACAATGGCAGGATTGATAAATCTGAGGAAC,NF1,49.74,1412.0,0.9347826090000001,1,PLX_2uM,0.6994237714813285 -4854,GCAGTGGCAGTGGCTCCAGGTAATAGGCGC,MED12,79.83,1738.0,0.117965368,0,AZD_200nM,0.2471165615663632 -4855,GCAGTGGCAGTGGCTCCAGGTAATAGGCGC,MED12,79.83,1738.0,0.115800866,0,PLX_2uM,0.2471165615663632 -4856,GAGGTGGCAGTGGTGGTCGGAGGCAGGGTG,MED12,57.97,1262.0,0.231601732,0,AZD_200nM,0.3646911077127696 -4857,GAGGTGGCAGTGGTGGTCGGAGGCAGGGTG,MED12,57.97,1262.0,0.23809523800000001,0,PLX_2uM,0.3646911077127696 -4858,CCTCTGGCATGGGCAGGTTGGACGGGGCAA,MED12,18.47,402.0,0.977272727,1,AZD_200nM,0.5583512993167483 -4859,CCTCTGGCATGGGCAGGTTGGACGGGGCAA,MED12,18.47,402.0,0.976190476,1,PLX_2uM,0.5583512993167483 -4860,CTGGTGGCATGGGTGGTGAGCCACTGGGAC,CD15,68.49,363.0,0.271062271,0,nodrug,0.3359278048026774 -4861,ACATTGGCCAGAGCCATCGCTATAGGGAGT,NF1,43.08,1223.0,0.297554348,0,PLX_2uM,0.4556204133844293 -4862,AGCATGGCCCACTCCGTGGTCTGCTGGGTG,MED12,71.34,1553.0,0.085497835,0,AZD_200nM,0.26420805343225384 -4863,AGCATGGCCCACTCCGTGGTCTGCTGGGTG,MED12,71.34,1553.0,0.069264069,0,PLX_2uM,0.26420805343225384 -4864,GCCGTGGCCCGCCGCAATGGCACTGGGCCG,CD13,31.85,308.0,0.321978022,0,nodrug,0.4264181082055872 -4865,GAAGTGGCCCTGTACATGTTTCTGTGGAAC,NF1,24.48,695.0,0.989130435,1,PLX_2uM,0.6998184440905331 -4866,CTTTTGGCCGAATCTTGGTGTGTTGGGGGA,NF1,64.88,1842.0,0.27173913,0,PLX_2uM,0.36598381361976595 -4867,TTCATGGCCGGCTCATCGAAGCATGGGAAG,CD13,23.06,223.0,0.969230769,1,nodrug,0.5842074817311395 -4868,GGAGTGGCCGGGTTCTAGAGTGCCAGGGAT,CD33,41.76,152.0,0.103896104,0,nodrug,0.4608906730524429 -4869,TTTTTGGCCTCAGCTGTATCCTACAGGTAG,MED12,16.81,366.0,0.915584416,1,AZD_200nM,0.4957366012833099 -4870,TTTTTGGCCTCAGCTGTATCCTACAGGTAG,MED12,16.81,366.0,0.977272727,1,PLX_2uM,0.4957366012833099 -4871,TCAGTGGCCTCCTTGCAGGTGAAACGGACG,CD13,11.48,111.0,0.124175824,0,nodrug,0.4863221379021936 -4872,TGCGTGGCCTCTACACAACCGCCAAGGCCG,CCDC101,22.53,66.0,0.617449664,0,AZD_200nM,0.6485629854596919 -4873,GGGTTGGCCTTCCACTGGGGCAGCGGGATG,CCDC101,72.7,213.0,0.5167785229999999,0,AZD_200nM,0.42362907068809874 -4874,CTGTTGGCGAAGGCGCTGTCCTTGGGGCAC,MED12,87.64,1908.0,0.365800866,0,AZD_200nM,0.47570538898505477 -4875,CTGTTGGCGAAGGCGCTGTCCTTGGGGCAC,MED12,87.64,1908.0,0.403679654,0,PLX_2uM,0.47570538898505477 -4876,GCTCTGGCGCAACGCGTTGCTCGCTGGGGC,CD15,81.51,432.0,0.095238095,0,nodrug,0.2837061219134656 -4877,CTGTTGGCGTTCTTGTTCTTCTCCTGGGAG,CD13,3.72,36.0,0.154945055,0,nodrug,0.33846746750736656 -4878,GCCCTGGCTATGGATCCAAATTTCTGGCTG,CD33,5.77,21.0,0.095238095,0,nodrug,0.21551893109692347 -4879,TTTGTGGCTCAAACTTCTGGCCTTTGGATT,CD45,0.97,11.0,0.007220216999999999,0,nodrug,0.31042197807652083 -4880,TAAGTGGCTCCAATTCCAAGTGTCAGGGTC,CD5,8.7,43.0,0.338912134,0,nodrug,0.45741153207363905 -4881,CCGATGGCTCCACGTTGCAGTAGATGGTGT,MED12,46.16,1005.0,0.43181818200000005,0,AZD_200nM,0.4665734240317152 -4882,CCGATGGCTCCACGTTGCAGTAGATGGTGT,MED12,46.16,1005.0,0.470779221,0,PLX_2uM,0.4665734240317152 -4883,GCAGTGGCTCCAGGTAATAGGCGCGGGGCC,MED12,79.74,1736.0,0.34740259700000004,0,AZD_200nM,0.38838453934663253 -4884,GCAGTGGCTCCAGGTAATAGGCGCGGGGCC,MED12,79.74,1736.0,0.393939394,0,PLX_2uM,0.38838453934663253 -4885,AAGATGGCTGAATACTACCGGCCAGGGCCT,MED12,9.51,207.0,0.145021645,0,AZD_200nM,0.6014879114694077 -4886,AAGATGGCTGAATACTACCGGCCAGGGCCT,MED12,9.51,207.0,0.13311688300000002,0,PLX_2uM,0.6014879114694077 -4887,CCCCTGGCTGCAGAACTGTCACACAGGGCC,CD5,60.93,301.0,0.744769874,0,nodrug,0.631463989130509 -4888,CAGCTGGCTTACCAAGTTCCAGGTGGGCTC,CD13,44.36,429.0,0.974725275,1,nodrug,0.6927907811964189 -4889,TGACTGGCTTCCTTTGTGCCCTTGGGGGAG,NF1,29.83,847.0,0.497282609,0,PLX_2uM,0.4675913598319369 -4890,TGACTGGGAAATCTTACCTGTTGCTGGAAA,NF1,53.72,1525.0,0.085597826,0,PLX_2uM,0.44015115637086666 -4891,GGGCTGGGACTGGGGCTGGGGTTGGGGAGG,MED12,97.8,2129.0,0.08658008699999999,0,AZD_200nM,0.03293246213775593 -4892,GGGCTGGGACTGGGGCTGGGGTTGGGGAGG,MED12,97.8,2129.0,0.122294372,0,PLX_2uM,0.03293246213775593 -4893,AAAATGGGAGCACTGGGAGCAGAAAGGGAG,MED12,25.68,559.0,0.857142857,1,AZD_200nM,0.5815735030471442 -4894,AAAATGGGAGCACTGGGAGCAGAAAGGGAG,MED12,25.68,559.0,0.925324675,1,PLX_2uM,0.5815735030471442 -4895,TTTCTGGGATCTCCCTCCAGTTGTTGGTAT,CD13,76.42,739.0,0.34395604399999996,0,nodrug,0.3186263344741922 -4896,CTGGTGGGATGTTGCACTTTGGTGTGGCTG,CUL3,67.71,520.0,0.792207792,0,PLX_2uM,0.5865105623227808 -4897,AAACTGGGATTGTGGTCTGCCCCCAGGGGC,CD43,16.71,66.0,0.7536231879999999,0,nodrug,0.4735695874972709 -4898,GGGCTGGGCAAGATGGCGGCCTTCGGGATC,MED12,0.18,4.0,0.206709957,0,AZD_200nM,0.3041458856402275 -4899,GGGCTGGGCAAGATGGCGGCCTTCGGGATC,MED12,0.18,4.0,0.25865800899999997,0,PLX_2uM,0.3041458856402275 -4900,GTTTTGGGCACTGGTCGTGGTTGCTGGAGT,CD28,72.02,157.0,0.47297297299999996,0,nodrug,0.2735610375139985 -4901,GAGGTGGGCAGTTTAGCAATGAGGGGGGCC,MED12,65.73,1431.0,0.7705627709999999,0,AZD_200nM,0.6572789546791644 -4902,GAGGTGGGCAGTTTAGCAATGAGGGGGGCC,MED12,65.73,1431.0,0.724025974,0,PLX_2uM,0.6572789546791644 -4903,CCACTGGGCCGCTGTTGCAGGTGGCGGGTA,MED12,91.41,1990.0,0.23809523800000001,0,AZD_200nM,0.330487653031991 -4904,CCACTGGGCCGCTGTTGCAGGTGGCGGGTA,MED12,91.41,1990.0,0.16991342,0,PLX_2uM,0.330487653031991 -4905,AGCATGGGCTGGACAATGTCACCGAGGAGG,TADA1,50.15,168.0,0.9908256879999999,1,AZD_200nM,0.7914184751757993 -4906,TACGTGGGCTTGGTGGCAATCTCCAGGAGC,NF2,79.66,474.0,0.5381165920000001,0,PLX_2uM,0.4515554564005851 -4907,GGTCTGGGCTTGTCGGCAAATCGGGGGGGT,NF1,23.92,679.0,0.20923913,0,PLX_2uM,0.39877748015414616 -4908,TGGATGGGGACGAGCAGTGGATCCTGGCCG,CCDC101,60.07,176.0,0.389261745,0,AZD_200nM,0.47597021448182464 -4909,GAACTGGGGAGTTCTTGTCGTAGTAGGGTA,CD33,13.74,50.0,0.435064935,0,nodrug,0.4437709545405248 -4910,TGTGTGGGGCACCATGATCCCGATAGGTAT,MED12,49.1,1069.0,0.252164502,0,AZD_200nM,0.6572947746319081 -4911,TGTGTGGGGCACCATGATCCCGATAGGTAT,MED12,49.1,1069.0,0.182900433,0,PLX_2uM,0.6572947746319081 -4912,TCTTTGGGGCATGCTGGGTCCAGGTGGCGA,CD43,3.8,15.0,0.9927536229999999,1,nodrug,0.6130203350596911 -4913,TTCATGGGGCCATAGACCTCGGAGCGGTCA,CD13,73.63,712.0,0.8241758240000001,1,nodrug,0.7325343228436701 -4914,TCGCTGGGGCGGTGCCGGTGGTGCTGGGCC,CD15,82.83,439.0,0.245421245,0,nodrug,0.2002355634658641 -4915,GCTCTGGGGGCCCGAGGCCGAGGGCGGCTG,TADA2B,15.95,67.0,0.568421053,0,AZD_200nM,0.5047295344360775 -4916,ATCTTGGGGGTCAGTCTGTTCTCAGGGTCA,NF2,41.51,247.0,0.887892377,1,PLX_2uM,0.5857895198074337 -4917,ACACTGGGGTCGTAGTCACCATACTGGAAA,NF2,25.21,150.0,0.394618834,0,PLX_2uM,0.47917447419244913 -4918,GCCGTGGGGTGATTATGAGCACCGAGGAGT,CD33,53.85,196.0,0.974025974,1,nodrug,0.8164068312395011 -4919,TCCATGGGGTTTAGATGCAGACTCAGGTTT,CD45,21.42,242.0,0.379061372,0,nodrug,0.5866313726584143 -4920,TCTCTGGGTCGGATTCACCTTGTTTGGCAG,CUL3,88.67,681.0,0.38311688299999996,0,PLX_2uM,0.28153811305813903 -4921,GTTGTGGGTGGAGGTGTCGTTCTCTGGGGC,CD5,27.73,137.0,0.008368201,0,nodrug,0.12548681014939161 -4922,CCCATGGGTGGGCTATAGGTTGCCAGGCCA,NF1,30.33,861.0,0.101902174,0,PLX_2uM,0.4876051407334827 -4923,ATCATGGGTGTCTGCTGCAGTGTCTGGTGT,MED12,92.79,2020.0,0.31709956699999997,0,AZD_200nM,0.26830259407141693 -4924,ATCATGGGTGTCTGCTGCAGTGTCTGGTGT,MED12,92.79,2020.0,0.303030303,0,PLX_2uM,0.26830259407141693 -4925,ACACTGGTACTGGTACACAGTTCTGGGCTC,CD45,83.36,942.0,0.317689531,0,nodrug,0.4296549050645883 -4926,GGATTGGTAGAAGGGTGGGTGCTCTGGTAA,MED12,90.72,1975.0,0.167748918,0,AZD_200nM,0.19126782488409802 -4927,GGATTGGTAGAAGGGTGGGTGCTCTGGTAA,MED12,90.72,1975.0,0.172077922,0,PLX_2uM,0.19126782488409802 -4928,AAGATGGTAGAATACCTGACAGACTGGGTT,NF1,36.88,1047.0,0.83423913,1,PLX_2uM,0.5154718020455241 -4929,GTGCTGGTATCCACCGTGATGACCGGGAAG,CD13,56.98,551.0,0.8428571429999999,1,nodrug,0.5809985048988394 -4930,CCACTGGTCCAGCCACTTGCACGTTGGAAT,NF1,78.3,2223.0,0.661684783,0,PLX_2uM,0.6205543338612042 -4931,GTTCTGGTCGGCATCGTGCTATGGTGGTAG,MED12,24.02,523.0,0.9859307359999999,1,AZD_200nM,0.659947662254058 -4932,GTTCTGGTCGGCATCGTGCTATGGTGGTAG,MED12,24.02,523.0,0.961038961,1,PLX_2uM,0.659947662254058 -4933,AGGCTGGTGAAGCAGAGAGACTCAGGGCCT,H2-K,47.97,177.0,0.923076923,1,nodrug,0.6764137599884894 -4934,TTGGTGGTGAAGTTGGCTAGGGTAAGGACC,THY1,56.17,91.0,0.935483871,1,nodrug,0.5959717274671182 -4935,TCGCTGGTGCTAACATGTCTGAAAGGGCAG,MED12,68.44,1490.0,0.5,0,AZD_200nM,0.536428389131974 -4936,TCGCTGGTGCTAACATGTCTGAAAGGGCAG,MED12,68.44,1490.0,0.501082251,0,PLX_2uM,0.536428389131974 -4937,ACGGTGGTGGGGAGTTGGATGGACCGGTTG,CD13,54.71,529.0,0.482417582,0,nodrug,0.5592150912189796 -4938,GGGTTGGTGGTGGCTGAGGCGGACGGGGTG,CD13,5.38,52.0,0.104395604,0,nodrug,0.3434395581450931 -4939,GGGTTGGTGTCACTCACTTGTTGGTGGCAT,CCDC101,64.16,188.0,0.563758389,0,AZD_200nM,0.5258272172238206 -4940,GCTGTGGTGTCATTGCTATGTGAATGGGCT,MED12,23.38,509.0,0.109307359,0,AZD_200nM,0.43636449162943586 -4941,GCTGTGGTGTCATTGCTATGTGAATGGGCT,MED12,23.38,509.0,0.18073593100000002,0,PLX_2uM,0.43636449162943586 -4942,TAGGTGGTGTTGATCTTACAGTCCGGGTGC,CUL3,65.76,505.0,0.318181818,0,PLX_2uM,0.5461933282975264 -4943,GTTCTGGTTACTCTGTTTGATTCTCGGCAT,NF1,43.99,1249.0,0.1875,0,PLX_2uM,0.36518638283586097 -4944,ATAATGGTTCATACTTCTTTCGGATGGAGA,CD33,32.69,119.0,0.445887446,0,nodrug,0.5025732739829722 -4945,GTCATGGTTGTGGGCAGCACTCCAGGGTAA,MED12,86.17,1876.0,0.7835497840000001,0,AZD_200nM,0.588029443309348 -4946,GTCATGGTTGTGGGCAGCACTCCAGGGTAA,MED12,86.17,1876.0,0.7976190479999999,0,PLX_2uM,0.588029443309348 -4947,GGGCTGTAACACCAGCTCCTCCAATGGCCC,CD33,72.25,263.0,0.7489177490000001,0,nodrug,0.6040894961798988 -4948,CCTTTGTAACCGAATCTTTGGATTGGGACC,MED12,22.32,486.0,0.214285714,0,AZD_200nM,0.4265609746410523 -4949,CCTTTGTAACCGAATCTTTGGATTGGGACC,MED12,22.32,486.0,0.229437229,0,PLX_2uM,0.4265609746410523 -4950,TGGCTGTAACTGACCACCTCGGCCAGGATC,CCDC101,60.75,178.0,0.36241610700000004,0,AZD_200nM,0.5633684811419367 -4951,ACGTTGTAATACCCTTCCTGACACTGGTCG,MED12,4.04,88.0,0.418831169,0,AZD_200nM,0.6145324799994902 -4952,ACGTTGTAATACCCTTCCTGACACTGGTCG,MED12,4.04,88.0,0.38311688299999996,0,PLX_2uM,0.6145324799994902 -4953,ATGATGTAATCAGGACATCGTTTGTGGTCA,CD45,54.25,613.0,0.490974729,0,nodrug,0.5263626361267545 -4954,CATGTGTAATTTGTTTGGGCACGAAGGTTG,CD45,16.11,182.0,0.129963899,0,nodrug,0.5612587836875931 -4955,AGCATGTACATCCACGGGAACCTGGGGAAG,TADA2B,28.33,119.0,0.8736842109999999,1,AZD_200nM,0.6909996220756754 -4956,AAGTTGTACGTTATGGGTGTATTAGGGATC,CUL3,20.44,157.0,0.746753247,0,PLX_2uM,0.39179489115885296 -4957,CCCTTGTACTCCTGGTGGTGCTGCTGGCCA,CD5,79.35,392.0,0.40167364,0,nodrug,0.360362003307259 -4958,GGCATGTACTGTCTCTCTTCAATCAGGAAG,CD13,71.04,687.0,0.728571429,0,nodrug,0.4534348611481822 -4959,CTGTTGTAGCCACAGAGGGTCCACTGGTCT,CD43,43.29,171.0,0.456521739,0,nodrug,0.5557230545756023 -4960,ACATTGTAGCCCTCTGTGTGCTCAAGGGGG,HPRT1,31.19,68.0,0.078125,0,6TG_2ug/mL,0.4698330828341909 -4961,AACTTGTAGCGGGCCACTGTGTGCAGGAGC,CD15,75.85,402.0,0.805860806,1,nodrug,0.5151826567789015 -4962,AGGTTGTAGGAATACCTGCAGCTGAGGCTG,CD28,18.35,40.0,0.9459459459999999,1,nodrug,0.6292256561319438 -4963,AGGGTGTAGTTGAGCTTCTTGCTGTGGATG,CD13,12.82,124.0,0.686813187,0,nodrug,0.6302433162314234 -4964,GTTGTGTCAAGAAGGAAAGCTTATCGGTTA,TADA1,58.81,197.0,0.064220183,0,AZD_200nM,0.426261534937524 -4965,CACCTGTCACATGCACAGAGAGCTGGGGAG,CD33,36.81,134.0,0.9285714290000001,1,nodrug,0.503565198660169 -4966,TCCTTGTCACTGTACGAGATGTTTCGGATT,NF2,44.2,263.0,0.618834081,0,PLX_2uM,0.4425132257067167 -4967,TCATTGTCAGTGAGTTCGACTACGTGGAGA,CD13,29.89,289.0,0.537362637,0,nodrug,0.6272899538300298 -4968,GAGATGTCATCACGTGTGAGCCACAGGGCT,MED12,75.93,1653.0,0.175324675,0,AZD_200nM,0.4471334983130187 -4969,GAGATGTCATCACGTGTGAGCCACAGGGCT,MED12,75.93,1653.0,0.233766234,0,PLX_2uM,0.4471334983130187 -4970,ACGCTGTCCACATCACCTCCTTCTGGGACG,CD15,94.15,499.0,0.798534799,0,nodrug,0.36298342906051745 -4971,ACTTTGTCCAGGTAGCTAGGAAGGCGGCTT,TADA2B,93.57,393.0,0.436842105,0,AZD_200nM,0.5083893840083175 -4972,CTGGTGTCCCTGCTGCCTCTGTCCCGGACA,CD5,43.72,216.0,0.59832636,0,nodrug,0.544240196751739 -4973,CATCTGTCCGGGACAGAGGCAGCAGGGACA,CD5,44.33,219.0,0.778242678,0,nodrug,0.6656873638661098 -4974,TTGCTGTCCTCACACAGAGACTTAAGGCAA,MED12,59.62,1298.0,0.6829004329999999,0,AZD_200nM,0.5197749954690505 -4975,TTGCTGTCCTCACACAGAGACTTAAGGCAA,MED12,59.62,1298.0,0.604978355,0,PLX_2uM,0.5197749954690505 -4976,TCGATGTCCTGGCACTCGGTGCAGCGGAAG,TADA2B,5.48,23.0,0.9105263159999999,1,AZD_200nM,0.6073842405973805 -4977,TTCTTGTCGTAGTAGGGTATGGGATGGAAG,CD33,12.64,46.0,0.917748918,1,nodrug,0.6821191629853628 -4978,TCTGTGTCTCCCGCTCCCAATACTCGGGCC,H2-K,21.68,80.0,0.810650888,1,nodrug,0.45554156475100577 -4979,AGAGTGTCTCCGGAGCATGCCAGCAGGAGT,TADA1,77.91,261.0,0.623853211,0,AZD_200nM,0.5172602192245673 -4980,TTATTGTCTCTATTAGTAAGACACTGGCAG,NF1,67.42,1914.0,0.586956522,0,PLX_2uM,0.5961565256864957 -4981,GAAATGTGAAATTGGTTTCAAGCAAGGTAA,NF1,72.14,2048.0,0.216032609,0,PLX_2uM,0.5195217375619341 -4982,ACGGTGTGAACTACTTTGCAATCCGGGTGT,NF2,37.65,224.0,0.623318386,0,PLX_2uM,0.5757945340467365 -4983,CCTGTGTGACAGTTCTGCAGCCAGGGGCCG,CD5,61.94,306.0,0.736401674,0,nodrug,0.6322912832147155 -4984,ATCGTGTGACCATGACAATAACTGTGGCCT,CD45,50.71,573.0,0.9350180509999999,1,nodrug,0.7806058234897781 -4985,GCTCTGTGAGAAGTTCTGCAATGCGGGAAT,CCDC101,3.41,10.0,0.489932886,0,AZD_200nM,0.5347725780754641 -4986,TGCTTGTGATACTTCATCCCTTCTGGGGAA,CD45,86.73,980.0,0.126353791,0,nodrug,0.306084441861186 -4987,ACCTTGTGCAGCAATGTATTTCCTGGGTTC,CD45,48.41,547.0,0.541516245,0,nodrug,0.541178488604164 -4988,TGCCTGTGCATCGTGGCTGTCCTGCGGCAC,MED12,42.72,930.0,0.994588745,1,AZD_200nM,0.693109688398915 -4989,TGCCTGTGCATCGTGGCTGTCCTGCGGCAC,MED12,42.72,930.0,0.9826839829999999,1,PLX_2uM,0.693109688398915 -4990,TTCCTGTGCCTGCAGAAGGAGTTGGGGGAG,MED12,74.6,1624.0,0.333333333,0,AZD_200nM,0.44100079216051713 -4991,TTCCTGTGCCTGCAGAAGGAGTTGGGGGAG,MED12,74.6,1624.0,0.36255411299999996,0,PLX_2uM,0.44100079216051713 -4992,AGTCTGTGCTCAGTACTGGGGCGAAGGAAA,CD45,79.91,903.0,0.63898917,0,nodrug,0.46169942875940684 -4993,CTGATGTGCTGAAGAGATCGTTCTGGGCTG,CD13,62.98,609.0,0.678021978,0,nodrug,0.497053335300581 -4994,CGGGTGTGGACAGCGGGTGGGAGGAGGCCA,CD13,46.74,452.0,0.471428571,0,nodrug,0.3412008120187133 -4995,ATAATGTGGAGAACGTCTACAATTTGGGAT,CUL3,18.36,141.0,0.058441558,0,PLX_2uM,0.24272751896725164 -4996,TGTTTGTGGCCACTGGAGAGTCCCTGGATA,CD33,19.23,70.0,0.8008658009999999,1,nodrug,0.52152638890987 -4997,CTGTTGTGGCGCCAGAGGCAAAAGCGGAGG,CD43,69.87,276.0,0.68115942,0,nodrug,0.6676577777998391 -4998,TCAATGTGGCTCAGAGATACGTGGTGGCTT,CCDC101,96.93,284.0,0.798657718,0,AZD_200nM,0.48279038992998535 -4999,TCTCTGTGGCTGAGCAGCAGCAGCTGGGCT,TADA2B,38.81,163.0,0.36842105299999994,0,AZD_200nM,0.3662330751132725 -5000,TACCTGTGGGCTCCGGCACGGTGGTGGGTG,CD5,30.16,149.0,0.154811715,0,nodrug,0.36944575548735875 -5001,CCTCTGTGGGGCCATCCCTGCCTCAGGAGA,CCDC101,51.19,150.0,0.22147651,0,AZD_200nM,0.4362572666737505 -5002,CAGGTGTGGTCTGTCACGCGGTTGGGGATG,TADA2B,30.95,130.0,0.42105263200000004,0,AZD_200nM,0.4772866275285445 -5003,TAGCTGTGGTGACAGGGGGACCACTGGTCT,CD43,46.58,184.0,0.253623188,0,nodrug,0.5237479373903191 -5004,GAGATGTGGTGACCCCTTGGCCCTTGGTCC,CD5,18.22,90.0,0.518828452,0,nodrug,0.47502242912248116 -5005,CTGCTGTGGTGGGAGCCCTTCGGGGGGCGC,CD15,37.55,199.0,0.6373626370000001,0,nodrug,0.6295578766820319 -5006,CATCTGTGGTGGTGCCTCTTGGGAAGGAGC,H2-K,73.98,273.0,0.313609467,0,nodrug,0.49408932058467486 -5007,CCAATGTGGTTCCTTGTTCTCAGTGGGTAA,NF1,43.5,1235.0,0.824728261,1,PLX_2uM,0.6053756687264882 -5008,ATGATGTGTACCGCGTGATGGCAGTGGATG,CD13,46.02,445.0,0.97032967,1,nodrug,0.6294590391577862 -5009,GCTCTGTGTCCTGGGCCTGTGAGCAGGGAA,CD33,46.7,170.0,0.38311688299999996,0,nodrug,0.37908480833303365 -5010,GCCCTGTGTGACAGTTCTGCAGCCAGGGGC,CD5,61.94,306.0,0.246861925,0,nodrug,0.402593524651919 -5011,GGCATGTGTGACTGAGGGACCAGTTGGACG,NF1,18.74,532.0,0.817934783,1,PLX_2uM,0.6625136265887871 -5012,CCACTGTGTGCAGGAGCCCAATTTCGGGCA,CD15,75.09,398.0,0.20879120899999998,0,nodrug,0.3310003568208895 -5013,GAAGTGTGTGCCACTGTTTATACCAGGTAT,NF1,48.22,1369.0,0.89673913,1,PLX_2uM,0.6814071934883524 -5014,AGGCTGTGTGGCGTCGTGAAGCATGGGATG,MED12,43.96,957.0,0.453463203,0,AZD_200nM,0.6147824140271589 -5015,AGGCTGTGTGGCGTCGTGAAGCATGGGATG,MED12,43.96,957.0,0.550865801,0,PLX_2uM,0.6147824140271589 -5016,AAGGTGTGTTATAGAACCAGGGTTTGGGTG,MED12,83.88,1826.0,0.5173160170000001,0,AZD_200nM,0.4163863498405275 -5017,AAGGTGTGTTATAGAACCAGGGTTTGGGTG,MED12,83.88,1826.0,0.6991341990000001,0,PLX_2uM,0.4163863498405275 -5018,CCACTGTTACAGTGGCCAGTGGTAGGGGAG,NF1,98.77,2804.0,0.019021739,0,PLX_2uM,0.21466345784252508 -5019,GCACTGTTACCCTCTGGCATGGGCAGGTTG,MED12,18.6,405.0,0.375541126,0,AZD_200nM,0.5094956080530171 -5020,GCACTGTTACCCTCTGGCATGGGCAGGTTG,MED12,18.6,405.0,0.39826839799999997,0,PLX_2uM,0.5094956080530171 -5021,GACATGTTAGCACCAGCGATAAGAAGGGCT,MED12,68.08,1482.0,0.38744588700000004,0,AZD_200nM,0.49799840520916566 -5022,GACATGTTAGCACCAGCGATAAGAAGGGCT,MED12,68.08,1482.0,0.374458874,0,PLX_2uM,0.49799840520916566 -5023,GTGTTGTTCAGCGCCAGAGTGACAGGGACC,CD13,69.91,676.0,0.86043956,1,nodrug,0.6383344179031982 -5024,GTCATGTTCATGTAGTCACTTTGAAGGAGT,CD28,85.32,186.0,0.202702703,0,nodrug,0.46547796391594 -5025,GGGGTGTTCCCTGCTCACAGGCCCAGGACA,CD33,46.15,168.0,0.7186147190000001,0,nodrug,0.4747083918588614 -5026,TGTTTGTTCCCTTAGTGCTGGTGTTGGGCG,CD45,60.35,682.0,0.563176895,0,nodrug,0.5416950460468417 -5027,CAGTTGTTCCTACTGGGATCCCCAAGGAGG,CD33,25.82,94.0,0.848484848,1,nodrug,0.6585131226740861 -5028,GACGTGTTCGGCCGGGGCGGGCCGGGGCAG,CD15,73.77,391.0,0.14285714300000002,0,nodrug,0.2637774990522293 -5029,GGTATGTTCGTGTGCTTGGGAATATGGTCC,NF1,35.36,1004.0,0.245923913,0,PLX_2uM,0.34601743640969124 -5030,ATGGTGTTCTGGTAGGCAAAGGTGTGGAGG,CD13,52.33,506.0,0.51978022,0,nodrug,0.7399441534883721 -5031,TTACTGTTCTGGTTCACTCCTGTGGGGCCA,CD5,85.02,420.0,0.343096234,0,nodrug,0.5948053136948894 -5032,ATCTTGTTGCCCTTGGTATCGATAAGGGAG,MED12,76.16,1658.0,0.30952381,0,AZD_200nM,0.4413937280267175 -5033,ATCTTGTTGCCCTTGGTATCGATAAGGGAG,MED12,76.16,1658.0,0.453463203,0,PLX_2uM,0.4413937280267175 -5034,TCCTTGTTGCTGCTGGAGGAGGACAGGGGG,CD13,38.57,373.0,0.11428571400000001,0,nodrug,0.32458512090213293 -5035,AATATGTTGGTACTGGGCTGTGGCTGGGTA,MED12,99.54,2167.0,0.17640692600000002,0,AZD_200nM,0.11766266843954698 -5036,AATATGTTGGTACTGGGCTGTGGCTGGGTA,MED12,99.54,2167.0,0.156926407,0,PLX_2uM,0.11766266843954698 -5037,GCTGTGTTGGTTTACCACAGGCGAGGGACT,CUL3,82.68,635.0,0.818181818,1,PLX_2uM,0.5303599248187455 -5038,AAGATGTTGTTCTAAAGTAGGAGTTGGAGA,NF1,72.81,2067.0,0.137228261,0,PLX_2uM,0.5035598766257539 -5039,GAGATGTTTCGGATTTCATTCCACGGGAAG,NF2,43.36,258.0,0.9506726459999999,1,PLX_2uM,0.5954002799986533 -5040,GCCTTGTTTCTTTCCTCTCTGGGTCGGATT,CUL3,89.32,686.0,0.7662337659999999,0,PLX_2uM,0.4789034807346478 -5041,CATCTGTTTGTCCACATTAGGCTTAGGTTA,NF1,41.07,1166.0,0.41168478299999994,0,PLX_2uM,0.425954501743331 -5042,TTTTTTAAAAAATTCAGGCTCTGCTGGTTC,NF1,19.34,549.0,0.036684783,0,PLX_2uM,0.4207822333672791 -5043,TTTTTTAAAAATGAAACAGGAAGATGGATC,CUL3,74.22,570.0,0.097402597,0,PLX_2uM,0.4080050375084058 -5044,ATAATTAAAGACCACCTCCAGAAGCGGCAA,TADA2B,91.19,383.0,0.547368421,0,AZD_200nM,0.49656915295786824 -5045,CACCTTAAAGTGTTGGTTGTTGTGAGGGCT,NF1,13.74,390.0,0.6847826090000001,0,PLX_2uM,0.5860657746038872 -5046,GGCTTTAAATTTAAATGCTGTTTCTGGAAA,NF1,6.94,197.0,0.048913042999999996,0,PLX_2uM,0.10223115472039568 -5047,GTAATTAACAGCTTGCTGGTGAAAAGGACC,HPRT1,76.15,166.0,0.125,0,6TG_2ug/mL,0.4230562927111965 -5048,CAGTTTAAGCAATTCATCCTCTCCAGGGCG,MED12,12.36,269.0,0.585497835,0,AZD_200nM,0.4705663125959546 -5049,CAGTTTAAGCAATTCATCCTCTCCAGGGCG,MED12,12.36,269.0,0.640692641,0,PLX_2uM,0.4705663125959546 -5050,GTAGTTAAGGTGTGTTATAGAACCAGGGTT,MED12,83.97,1828.0,0.55952381,0,AZD_200nM,0.507883727913574 -5051,GTAGTTAAGGTGTGTTATAGAACCAGGGTT,MED12,83.97,1828.0,0.527056277,0,PLX_2uM,0.507883727913574 -5052,GTAATTAATTCTGCTGTACTGCCTTGGGTT,NF1,18.32,520.0,0.032608696,0,PLX_2uM,0.4208198456148737 -5053,ATACTTACACAACAGGAAAGACTTTGGGAA,NF1,93.45,2653.0,0.404891304,0,PLX_2uM,0.2904903867922786 -5054,CATTTTACATCATCATCTGCTGCTTGGTTT,NF1,37.2,1056.0,0.292119565,0,PLX_2uM,0.4709098746502381 -5055,GGACTTACATTGGTGATGATTCGATGGAGT,NF1,14.65,416.0,0.919836957,1,PLX_2uM,0.6376312420382275 -5056,ATCCTTACCAGCCATATCAGTCTGTGGGAT,NF1,8.45,240.0,0.921195652,1,PLX_2uM,0.6534757416231207 -5057,CTCCTTACCCCATCTCAGGGTGAGGGGCTC,H2-K,79.13,292.0,0.26035503,0,nodrug,0.5086061357381677 -5058,TGCTTTACCCGCTGTGGGGGCGCATGGATC,CCDC101,85.67,251.0,0.536912752,0,AZD_200nM,0.44400773887852035 -5059,CTGCTTACCTGCAACTTCTTCGCCAGGTTC,MED12,74.28,1617.0,0.332251082,0,AZD_200nM,0.4173053452104776 -5060,CTGCTTACCTGCAACTTCTTCGCCAGGTTC,MED12,74.28,1617.0,0.435064935,0,PLX_2uM,0.4173053452104776 -5061,GTCTTTACCTGCAGTGCACCACAATGGGAC,CD45,59.82,676.0,0.844765343,1,nodrug,0.6842250706111813 -5062,TTGCTTACCTTGTCATTGAATATACGGAGA,NF1,82.78,2350.0,0.608695652,0,PLX_2uM,0.29289418618029284 -5063,ATGATTACGAGATCGAGTATGACCAGGATG,TADA2B,42.38,178.0,0.34736842100000004,0,AZD_200nM,0.6469900965290496 -5064,ACATTTACTGACCTGGGGAATGCTGGGAAG,NF1,98.27,2790.0,0.050271739,0,PLX_2uM,0.19089235308604402 -5065,TCTTTTACTGTAGCTTTATTCAGTAGGGAG,NF1,48.5,1377.0,0.22690217399999998,0,PLX_2uM,0.5253875585841771 -5066,TCACTTACTTCCATCAGACTGGCAAGGATT,MED12,54.62,1189.0,0.501082251,0,AZD_200nM,0.658103931735748 -5067,TCACTTACTTCCATCAGACTGGCAAGGATT,MED12,54.62,1189.0,0.537878788,0,PLX_2uM,0.658103931735748 -5068,TCATTTAGAAAGACTGATTGCCCTAGGACT,NF1,62.49,1774.0,0.982336957,1,PLX_2uM,0.6107374623077778 -5069,TGTATTAGCAAACGAGTGTCTCATGGGCAG,NF1,79.64,2261.0,0.898097826,1,PLX_2uM,0.5495383156109298 -5070,CCCTTTAGCAGAGTCAGGGCATGTTGGGAC,MED12,88.24,1921.0,0.625541126,0,AZD_200nM,0.5267336862547882 -5071,CCCTTTAGCAGAGTCAGGGCATGTTGGGAC,MED12,88.24,1921.0,0.83008658,1,PLX_2uM,0.5267336862547882 -5072,GGTTTTAGGGCCATTAGTTTCATAAGGAGG,CD45,29.73,336.0,0.364620939,0,nodrug,0.4835921589779354 -5073,TTTTTTAGGTAACTCAGCAGTTGAAGGCGC,CUL3,95.05,730.0,0.9675324679999999,1,PLX_2uM,0.4256667676443938 -5074,GGCTTTAGTGGAATACAATCAGTTTGGAGA,CD45,65.49,740.0,0.588447653,0,nodrug,0.493431709424461 -5075,GGGCTTATACGAAAGCAAGAAACAAGGCAG,NF1,13.42,381.0,0.694293478,0,PLX_2uM,0.7161280665906007 -5076,ACATTTATACTATTGTCTGTCGGCCGGGAG,CD45,28.5,322.0,0.220216606,0,nodrug,0.4672163909067081 -5077,TGTGTTATAGAACCAGGGTTTGGGTGGTGC,MED12,83.79,1824.0,0.602813853,0,AZD_200nM,0.5183782767970728 -5078,TGTGTTATAGAACCAGGGTTTGGGTGGTGC,MED12,83.79,1824.0,0.606060606,0,PLX_2uM,0.5183782767970728 -5079,AATTTTATCCTGAGAATGCTGAAGAGGAGC,NF2,17.82,106.0,0.838565022,1,PLX_2uM,0.5888673894855798 -5080,GAAGTTATCCTTCTGGTTCACTTGGGGCTT,MED12,4.41,96.0,0.632034632,0,AZD_200nM,0.5694506436258165 -5081,GAAGTTATCCTTCTGGTTCACTTGGGGCTT,MED12,4.41,96.0,0.649350649,0,PLX_2uM,0.5694506436258165 -5082,ATGATTATCTTTAATAGAGTCCAGAGGAAG,NF1,82.99,2356.0,0.770380435,0,PLX_2uM,0.5902827777152869 -5083,CACATTATGACCAACACCAGGTCACGGCTC,MED12,38.77,844.0,0.9480519479999999,1,AZD_200nM,0.703890060498063 -5084,CACATTATGACCAACACCAGGTCACGGCTC,MED12,38.77,844.0,0.974025974,1,PLX_2uM,0.703890060498063 -5085,TGTTTTATGCTATAAGAACAATTCAGGTAA,CD45,22.65,256.0,0.350180505,0,nodrug,0.347743649759169 -5086,ATCATTATGCTGAGGATTTGGAAAGGGTGT,HPRT1,15.14,33.0,0.359375,0,6TG_2ug/mL,0.5728882402905475 -5087,TTTGTTATGGCTTGCTAGTGACAGTGGCTC,CD28,77.52,169.0,0.743243243,0,nodrug,0.5664610021975015 -5088,GCCCTTATGGTGTGACAGTGCCTCCGGACC,MED12,83.46,1817.0,0.504329004,0,AZD_200nM,0.4759906071551133 -5089,GCCCTTATGGTGTGACAGTGCCTCCGGACC,MED12,83.46,1817.0,0.496753247,0,PLX_2uM,0.4759906071551133 -5090,TTTGTTATTGCAGATGAAGTGGAAAGGGAA,NF2,6.89,41.0,0.5515695070000001,0,PLX_2uM,0.6188537111551575 -5091,CAAGTTATTTAGTCGTGTGCCAAATGGTTT,CUL3,39.97,307.0,0.025974026,0,PLX_2uM,0.43276805742835933 -5092,CCATTTATTTCAGAGAGTTCCACACGGTTA,CD45,46.02,520.0,0.985559567,1,nodrug,0.7550673627184443 -5093,TGGATTATTTCTGGACACAAGATAAGGAGA,NF1,9.69,275.0,0.8152173909999999,1,PLX_2uM,0.5441551497914061 -5094,TAGGTTCAAAACTGGTCAAATCAATGGTGA,NF1,56.99,1618.0,0.513586957,0,PLX_2uM,0.4679036833381004 -5095,TTTCTTCAAACGCTAAATCAAGCTTGGAAT,CUL3,14.06,108.0,0.084415584,0,PLX_2uM,0.4426900040692877 -5096,ACTATTCAACTGACTATGAGTTTCTGGTAA,CD45,33.45,378.0,0.025270757999999997,0,nodrug,0.06413951663800033 -5097,TAACTTCAAGCCCCTTTCGATTCTAGGTGG,NF1,50.55,1435.0,0.152173913,0,PLX_2uM,0.1960483737863828 -5098,AAGTTTCAAGTCGTCATCATCTTGGGGATC,TADA1,39.4,132.0,0.08256880700000001,0,AZD_200nM,0.5358508324957123 -5099,TCCCTTCAATCTTCTCCTTGGGTGGGGGCT,MED12,32.8,714.0,0.114718615,0,AZD_200nM,0.31291114796220054 -5100,TCCCTTCAATCTTCTCCTTGGGTGGGGGCT,MED12,32.8,714.0,0.265151515,0,PLX_2uM,0.31291114796220054 -5101,ATATTTCAATGGAAAATGTTCCTATGGATA,NF1,87.07,2472.0,0.74048913,0,PLX_2uM,0.4291405680655447 -5102,ATTCTTCAATTTGTTAAATAGCATTGGATA,NF1,32.86,933.0,0.091032609,0,PLX_2uM,0.35899016002046474 -5103,AGCCTTCACAAGACCATTGTTAAGAGGCGA,NF1,28.67,814.0,0.298913043,0,PLX_2uM,0.4646493929044738 -5104,TGGCTTCACACTCCTGGTGCATGAAGGTGA,NF1,63.86,1813.0,0.866847826,1,PLX_2uM,0.5966968770348783 -5105,AGTCTTCACAGTCACGTAGCGGGCTGGACT,TADA2B,87.62,368.0,0.889473684,1,AZD_200nM,0.5154111955231179 -5106,ACCTTTCACATTATGACCAACACCAGGTCA,MED12,38.68,842.0,0.9512987009999999,1,AZD_200nM,0.6551505311860302 -5107,ACCTTTCACATTATGACCAACACCAGGTCA,MED12,38.68,842.0,0.9870129870000001,1,PLX_2uM,0.6551505311860302 -5108,CCAATTCACCAGCTGGCCAGACCATGGGGT,CD45,57.26,647.0,0.85198556,1,nodrug,0.5803704684001554 -5109,TTTCTTCACCCCTCGCAGATGGAGCGGCAG,NF2,56.3,335.0,0.255605381,0,PLX_2uM,0.5463062262933607 -5110,CATGTTCACCGGAGGCAAAGATGCAGGTAG,TADA1,80.9,271.0,0.587155963,0,AZD_200nM,0.5138869630883822 -5111,GGGCTTCACCTCCTTCTCGACATCTGGCTT,MED12,32.43,706.0,0.055194805,0,AZD_200nM,0.30311845808199284 -5112,GGGCTTCACCTCCTTCTCGACATCTGGCTT,MED12,32.43,706.0,0.034632035,0,PLX_2uM,0.30311845808199284 -5113,CTGTTTCAGCTGTTGTCTATGCTGTGGAGG,TADA1,53.13,178.0,0.9082568809999999,1,AZD_200nM,0.6236358270489719 -5114,CAGTTTCATCAAAACCAGTGCAACAGGTGG,NF1,71.12,2019.0,0.19429347800000002,0,PLX_2uM,0.3650528335860058 -5115,TGTTTTCATCTTTCAGGACACTAAAGGAGA,NF1,87.64,2488.0,0.376358696,0,PLX_2uM,0.37353496758376975 -5116,GGTTTTCATTCCATTGACCTTGTCCGGACC,CD45,27.7,313.0,0.050541515999999995,0,nodrug,0.3388617945201106 -5117,ATATTTCCAAGTCCCTGGGCATCCTGGGGA,CD13,1.34,13.0,0.108791209,0,nodrug,0.35364799132432045 -5118,CCAATTCCAAGTGTCAGGGTCAAGTGGAGA,CD5,9.31,46.0,0.6317991629999999,0,nodrug,0.6253527029158487 -5119,CTATTTCCACCCAGTTCCAGCGCCAGGGGC,MED12,98.25,2139.0,0.069264069,0,AZD_200nM,0.09100900990485923 -5120,CTATTTCCACCCAGTTCCAGCGCCAGGGGC,MED12,98.25,2139.0,0.12121212099999999,0,PLX_2uM,0.09100900990485923 -5121,TTCATTCCACGGGAAGGAGATCTTGGGGGT,NF2,42.69,254.0,0.573991031,0,PLX_2uM,0.43980189727857394 -5122,GCAGTTCCAGTTGGAGGCTGAGCCAGGACC,CD5,13.36,66.0,0.012552301,0,nodrug,0.45479411268805453 -5123,AAGCTTCCCAAGGCTTCCCCAGAAGGGATG,CD45,86.73,980.0,0.537906137,0,nodrug,0.5472850582336594 -5124,GCTCTTCCCACCGTCCCCGGCCCCTGGCTG,CD5,62.35,308.0,0.35983263600000004,0,nodrug,0.4587744458529983 -5125,GATGTTCCCATAACCCAGTCTGTCAGGTAT,NF1,36.84,1046.0,0.69701087,0,PLX_2uM,0.48714833195341267 -5126,TCCTTTCCCCGTTTGGAGCCGGCTAGGTTT,TADA2B,77.38,325.0,0.410526316,0,AZD_200nM,0.42116085459389707 -5127,GCCCTTCCCCTCACAGGGCATAGTAGGGGA,MED12,31.74,691.0,0.26406926399999997,0,AZD_200nM,0.3857087874259089 -5128,GCCCTTCCCCTCACAGGGCATAGTAGGGGA,MED12,31.74,691.0,0.321428571,0,PLX_2uM,0.3857087874259089 -5129,GGAATTCCGGGCATCCCTGTACAAGGGCGT,CD28,26.15,57.0,0.864864865,1,nodrug,0.6769611119913259 -5130,CAGCTTCCTAACCTGCAGTGGACGAGGATG,CD45,87.79,992.0,0.5090252710000001,0,nodrug,0.529441494369517 -5131,GGTATTCCTACAACCTTCTCGCAAAGGAAT,CD28,22.48,49.0,0.27027027,0,nodrug,0.6107421145497557 -5132,CGGATTCCTACTGTAGGCTTGTCTGGGGAA,MED12,54.8,1193.0,0.487012987,0,AZD_200nM,0.4896374676206529 -5133,CGGATTCCTACTGTAGGCTTGTCTGGGGAA,MED12,54.8,1193.0,0.47402597399999996,0,PLX_2uM,0.4896374676206529 -5134,AACCTTCCTGTTGGGGCAGGGTGGTGGCCA,CD13,21.3,206.0,0.257142857,0,nodrug,0.4376726056124217 -5135,AGACTTCCTTCATACAGGAGTTGGAGGACA,CD45,69.29,783.0,0.433212996,0,nodrug,0.542732258728812 -5136,GGGATTCCTTGCCGCTTCTGGAGGTGGTCT,TADA2B,90.71,381.0,0.284210526,0,AZD_200nM,0.37249160119688346 -5137,GGAATTCCTTTGCGAGAAGGTTGTAGGAAT,CD28,21.1,46.0,0.6756756759999999,0,nodrug,0.48597213327163774 -5138,GGCTTTCGAGTGAGCCCAGGCCTCCGGGGA,CD28,89.91,196.0,0.297297297,0,nodrug,0.3220224040036685 -5139,CCAATTCGATGGGAGGCCCCGAACGGGAGC,CD5,48.79,241.0,0.405857741,0,nodrug,0.4457538553893561 -5140,CCTGTTCGCGCCATGGGGGCACCGTGGGGC,CD15,24.34,129.0,0.644688645,0,nodrug,0.5672537569721573 -5141,TTTGTTCGCTCTGCTGAAGTTACTTGGACA,NF1,62.13,1764.0,0.8709239129999999,1,PLX_2uM,0.38877668743988547 -5142,AAGATTCGGCCAAAAGATGTCCCTGGGACA,NF1,65.2,1851.0,0.664402174,0,PLX_2uM,0.5887356465739225 -5143,CCCGTTCGGGGCCTCCCATCGAATTGGCAA,CD5,47.77,236.0,0.364016736,0,nodrug,0.4138285811250937 -5144,GGTGTTCGTAGCTCAAGATCCCGAAGGCCG,MED12,0.23,5.0,0.359307359,0,AZD_200nM,0.6980754695860577 -5145,GGTGTTCGTAGCTCAAGATCCCGAAGGCCG,MED12,0.23,5.0,0.319264069,0,PLX_2uM,0.6980754695860577 -5146,GGAATTCTACAATGGCAGCTGGGGTGGCAC,CD5,36.64,181.0,0.594142259,0,nodrug,0.5373143525183234 -5147,CACCTTCTACATTTCACTATGTGCTGGTAA,NF1,14.41,409.0,0.849184783,1,PLX_2uM,0.5508521885655019 -5148,AAGGTTCTACTTAGCCAAACACAGTGGTCG,CUL3,70.7,543.0,0.915584416,1,PLX_2uM,0.7635148715470951 -5149,GGGCTTCTATATTTCCAAGTCCCTGGGCAT,CD13,1.03,10.0,0.50989011,0,nodrug,0.44829975742146777 -5150,TATGTTCTATGCCCTCAGGATCCAGGGCTC,MED12,30.32,660.0,0.28571428600000004,0,AZD_200nM,0.49675440799492626 -5151,TATGTTCTATGCCCTCAGGATCCAGGGCTC,MED12,30.32,660.0,0.25649350600000004,0,PLX_2uM,0.49675440799492626 -5152,TCCATTCTCACAATGATTTCCTCCTGGCCA,TADA1,18.81,63.0,0.880733945,1,AZD_200nM,0.5078256270208138 -5153,CTTTTTCTCAGGCTCTAGCAGGGTAGGAGC,MED12,80.66,1756.0,0.609307359,0,AZD_200nM,0.4908742243673069 -5154,CTTTTTCTCAGGCTCTAGCAGGGTAGGAGC,MED12,80.66,1756.0,0.560606061,0,PLX_2uM,0.4908742243673069 -5155,TCTTTTCTCCCTTTAGCAGAGTCAGGGCAT,MED12,88.1,1918.0,0.268398268,0,AZD_200nM,0.4104065093898576 -5156,TCTTTTCTCCCTTTAGCAGAGTCAGGGCAT,MED12,88.1,1918.0,0.235930736,0,PLX_2uM,0.4104065093898576 -5157,TTCCTTCTCCTCATAAATAGATCATGGTTC,NF2,51.26,305.0,0.730941704,0,PLX_2uM,0.49841082171909656 -5158,CTCCTTCTCGACATCTGGCTTCTCAGGGGA,MED12,32.29,703.0,0.130952381,0,AZD_200nM,0.2982251867741935 -5159,CTCCTTCTCGACATCTGGCTTCTCAGGGGA,MED12,32.29,703.0,0.25,0,PLX_2uM,0.2982251867741935 -5160,GTGCTTCTCGGCCGGCGCCGAGATCGGCCA,TADA2B,9.76,41.0,0.036842105,0,AZD_200nM,0.47192688723444703 -5161,GTTTTTCTCTAGTCCGCATTGGATTGGTGG,NF1,14.93,424.0,0.48505434799999997,0,PLX_2uM,0.4465897924897456 -5162,CCCCTTCTCTATCCACAGACAAGCTGGTCA,THY1,78.4,127.0,0.467741935,0,nodrug,0.4484527350560004 -5163,GCAGTTCTGACCCGAGTTTACGGTAGGTTT,NF1,65.87,1870.0,0.9402173909999999,1,PLX_2uM,0.6628628557852578 -5164,GGAATTCTGAGGAGGAACTGATGATGGCAT,NF1,47.59,1351.0,0.601902174,0,PLX_2uM,0.557790294222429 -5165,TGAATTCTGAGGGGCGGGTAACATTGGAAT,CD13,59.36,574.0,0.148351648,0,nodrug,0.44042150771884164 -5166,TCCTTTCTGCAGATTTCCAGCCCAAGGTTC,CD5,55.06,272.0,0.47280334700000004,0,nodrug,0.4605399733762227 -5167,CAGCTTCTGCATTGGTAAGCGCACAGGACG,MED12,85.53,1862.0,0.557359307,0,AZD_200nM,0.5542506156972533 -5168,CAGCTTCTGCATTGGTAAGCGCACAGGACG,MED12,85.53,1862.0,0.661255411,0,PLX_2uM,0.5542506156972533 -5169,CAGTTTCTGCTACTCTCCTCATTTTGGGGG,NF1,90.49,2569.0,0.070652174,0,PLX_2uM,0.013443253083736603 -5170,GGCATTCTGGGCTTCAGAGGTACTTGGAGC,CD43,9.87,39.0,0.52173913,0,nodrug,0.47568265376475843 -5171,CTGGTTCTGGGGTCTGTTCAATGAAGGGAA,CD5,19.64,97.0,0.506276151,0,nodrug,0.4926773053044822 -5172,AGCGTTCTGGTCGGCATCGTGCTATGGTGG,MED12,23.98,522.0,0.937229437,1,AZD_200nM,0.5189295074796777 -5173,AGCGTTCTGGTCGGCATCGTGCTATGGTGG,MED12,23.98,522.0,0.944805195,1,PLX_2uM,0.5189295074796777 -5174,ATATTTCTGTCTCCTAGATGGTGCTGGATC,TADA1,23.58,79.0,0.266055046,0,AZD_200nM,0.4873135231056055 -5175,CCAGTTCTGTGGAGAGTTCCAGTGTGGCCC,CD43,54.68,216.0,0.739130435,0,nodrug,0.6544414761387405 -5176,CAGTTTCTGTGGGGTCAGGGACAGTGGACT,CD43,13.92,55.0,0.17391304300000002,0,nodrug,0.5248448493588486 -5177,ACGTTTCTTAATAACAACTGGACTTGGTAA,CUL3,96.09,738.0,0.090909091,0,PLX_2uM,0.2384941004084378 -5178,TGGCTTCTTACGCCGTCCAGGCCAAGGTAG,NF2,24.87,148.0,0.650224215,0,PLX_2uM,0.5154228657877892 -5179,CAACTTCTTAGTGTTGGCCTGAGAAGGTTG,NF1,89.15,2531.0,0.599184783,0,PLX_2uM,0.40590515659145293 -5180,CAACTTCTTCTCAGTTCAAGTAACAGGTAA,CD28,7.8,17.0,0.878378378,1,nodrug,0.43617333557033616 -5181,GTACTTCTTGATCTAGCTTGTTTGTGGCCA,CD33,20.88,76.0,0.058441558,0,nodrug,0.38690950743421815 -5182,CTTCTTCTTGCGTTCCTCAGTACTGGGTGG,MED12,81.72,1779.0,0.297619048,0,AZD_200nM,0.4055699775233996 -5183,CTTCTTCTTGCGTTCCTCAGTACTGGGTGG,MED12,81.72,1779.0,0.28030303,0,PLX_2uM,0.4055699775233996 -5184,TTGATTCTTGGCTTGGTGACCTGGTGGTTA,CD43,60.76,240.0,0.9347826090000001,1,nodrug,0.6221448936563974 -5185,GGAGTTCTTGTCGTAGTAGGGTATGGGATG,CD33,13.19,48.0,0.792207792,0,nodrug,0.5663692255123152 -5186,GTGGTTCTTTATTTATAGGCATTTTGGAAC,NF1,7.75,220.0,0.0625,0,PLX_2uM,0.10450265577693385 -5187,TATGTTGAAAAATGGAAAGACAGAAGGTAA,CUL3,38.15,293.0,0.655844156,0,PLX_2uM,0.6441981647027637 -5188,GATGTTGAACTCGGCCTTCATGGCCGGCTC,CD13,23.68,229.0,0.745054945,0,nodrug,0.5155822314674043 -5189,GATGTTGAAGCGCAGCCGGCAGTCAGGGGG,CD15,39.81,211.0,0.41025641,0,nodrug,0.3722976907076634 -5190,GAGGTTGAAGCTTGGTATGTCAGGAGGCAA,NF2,83.03,494.0,0.578475336,0,PLX_2uM,0.5933625605704628 -5191,TATCTTGAAGGTTCTGAACCGCAAAGGGAC,MED12,36.01,784.0,0.0995671,0,AZD_200nM,0.5589183318238085 -5192,TATCTTGAAGGTTCTGAACCGCAAAGGGAC,MED12,36.01,784.0,0.217532468,0,PLX_2uM,0.5589183318238085 -5193,TTCTTTGAATCTTCCCATTGACATAGGCAA,CD45,25.58,289.0,0.137184116,0,nodrug,0.41163191542047356 -5194,GATTTTGAATTTCCTCACAGAAAGCGGCTG,TADA2B,97.86,411.0,0.1,0,AZD_200nM,0.19104426003027516 -5195,CCACTTGACCCTGACACTTGGAATTGGAGC,CD5,8.3,41.0,0.42677824299999995,0,nodrug,0.4129239297050214 -5196,GCCCTTGACTATAATGAATACTTCAGGGAT,HPRT1,91.28,199.0,0.109375,0,6TG_2ug/mL,0.30012279053517965 -5197,GAAGTTGAGGGGGGAATTCTGAGGAGGAAC,NF1,47.73,1355.0,0.960597826,1,PLX_2uM,0.7056103338971134 -5198,TGCCTTGATTGACACGTACCTGCCTGGAAT,NF1,96.62,2743.0,0.116847826,0,PLX_2uM,0.17498781518048812 -5199,TGGTTTGCAATGGTTAAGGTGAACTGGTTC,NF1,63.37,1799.0,0.8478260870000001,1,PLX_2uM,0.541937865599669 -5200,GGCCTTGCACCTTCTCCTCCTCTTTGGGGC,CD43,2.03,8.0,0.137681159,0,nodrug,0.14326331205866735 -5201,ATACTTGCACTCTCATCTCCCGAGGGGACC,MED12,28.53,621.0,0.91991342,1,AZD_200nM,0.7719510240150368 -5202,ATACTTGCACTCTCATCTCCCGAGGGGACC,MED12,28.53,621.0,0.898268398,1,PLX_2uM,0.7719510240150368 -5203,TTCCTTGCAGAATCCAAGAAAACAGGGGCC,NF1,18.07,513.0,0.508152174,0,PLX_2uM,0.6064755003702432 -5204,GTTGTTGCAGTTGGATATAGACCACGGAGA,CD5,22.67,112.0,1.0,1,nodrug,0.7081869105365307 -5205,ATGCTTGCCACAGTGCCTGGGGCCAGGCCC,CD5,75.91,375.0,0.016736402,0,nodrug,0.29096554089079174 -5206,TTACTTGCCAGGCTTCGCAGCCCCGGGGAG,CD15,57.55,305.0,0.765567766,0,nodrug,0.48127998311020087 -5207,AAGGTTGCCCCATGTCCAGGCTCATGGATT,NF1,88.87,2523.0,0.394021739,0,PLX_2uM,0.32847739259250963 -5208,AGTTTTGCCTCCTCCTCGGTGATCTGGGCC,NF2,65.55,390.0,0.094170404,0,PLX_2uM,0.24920145764874108 -5209,ATCTTTGCCTGGAGCTGTTGGCGAAGGCGC,MED12,87.83,1912.0,0.234848485,0,AZD_200nM,0.34431637087593153 -5210,ATCTTTGCCTGGAGCTGTTGGCGAAGGCGC,MED12,87.83,1912.0,0.19588744600000002,0,PLX_2uM,0.34431637087593153 -5211,AACGTTGCCTTAAGTCTCTGTGTGAGGACA,MED12,59.76,1301.0,0.654761905,0,AZD_200nM,0.7065899900818216 -5212,AACGTTGCCTTAAGTCTCTGTGTGAGGACA,MED12,59.76,1301.0,0.7023809520000001,0,PLX_2uM,0.7065899900818216 -5213,GTCATTGCCTTCCGTTCCAGTTACCGGGAC,NF1,76.86,2182.0,0.800271739,1,PLX_2uM,0.33759923476891107 -5214,CTTCTTGCGTTCCTCAGTACTGGGTGGAGC,MED12,81.67,1778.0,0.661255411,0,AZD_200nM,0.581403581264746 -5215,CTTCTTGCGTTCCTCAGTACTGGGTGGAGC,MED12,81.67,1778.0,0.523809524,0,PLX_2uM,0.581403581264746 -5216,GAACTTGCTAGATAATCATACTGAAGGCAG,NF1,34.38,976.0,0.24184782600000002,0,PLX_2uM,0.6396790643041882 -5217,TCATTTGCTATCCACATCGACTGCTGGACA,MED12,61.09,1330.0,0.16558441599999998,0,AZD_200nM,0.49838545170366366 -5218,TCATTTGCTATCCACATCGACTGCTGGACA,MED12,61.09,1330.0,0.27380952399999997,0,PLX_2uM,0.49838545170366366 -5219,CTCGTTGCTATCTACCACAAGCAGGGGCGA,CD28,13.76,30.0,0.932432432,1,nodrug,0.7019663455216743 -5220,CAGGTTGCTGCTGCCGGTACACAGAGGTCT,MED12,87.14,1897.0,0.54978355,0,AZD_200nM,0.5953926481369082 -5221,CAGGTTGCTGCTGCCGGTACACAGAGGTCT,MED12,87.14,1897.0,0.404761905,0,PLX_2uM,0.5953926481369082 -5222,CTTGTTGCTGCTGGAGGAGGACAGGGGGTC,CD13,38.57,373.0,0.527472527,0,nodrug,0.6161573435643747 -5223,GCTCTTGCTGGCCATGGAGGAAGTAGGCAG,NF1,11.03,313.0,0.756793478,0,PLX_2uM,0.6026526663434297 -5224,TTCTTTGCTTCTGCACTTGGCTTGCGGATC,NF1,99.3,2819.0,0.114130435,0,PLX_2uM,0.20311463250955833 -5225,GTGCTTGCTTTACATCGTCTACTCTGGAAC,NF1,53.22,1511.0,0.65625,0,PLX_2uM,0.5335050077513785 -5226,TGGTTTGGAACAGTCCGAGTGGACCGGCGA,MED12,78.59,1711.0,0.28138528100000004,0,AZD_200nM,0.4844995095475935 -5227,TGGTTTGGAACAGTCCGAGTGGACCGGCGA,MED12,78.59,1711.0,0.248917749,0,PLX_2uM,0.4844995095475935 -5228,AGAATTGGAGAAGGGTCAGCACCTGGGTTC,MED12,66.88,1456.0,0.703463203,0,AZD_200nM,0.6522350570438189 -5229,AGAATTGGAGAAGGGTCAGCACCTGGGTTC,MED12,66.88,1456.0,0.658008658,0,PLX_2uM,0.6522350570438189 -5230,CATGTTGGAGACAGTGGATGGAGGAGGCTC,H2-K,81.03,299.0,0.23668639100000002,0,nodrug,0.5244014898349985 -5231,TCTCTTGGATATTACAGATGACCATGGATG,CUL3,3.13,24.0,0.8636363640000001,1,PLX_2uM,0.655122901422656 -5232,CTTATTGGATCCACAGAATAAAAAGGGCAC,NF2,38.15,227.0,0.461883408,0,PLX_2uM,0.5233179065934845 -5233,ATCCTTGGCAGAAGACCTGGTTCTGGGGTC,CD5,20.65,102.0,0.48953974899999997,0,nodrug,0.39747856955793676 -5234,CACATTGGCCAGAGCCATCGCTATAGGGAG,NF1,43.11,1224.0,0.328804348,0,PLX_2uM,0.4365767350523933 -5235,TCTTTTGGCCGAATCTTGGTGTGTTGGGGG,NF1,64.88,1842.0,0.918478261,1,PLX_2uM,0.5525616263881741 -5236,CGGGTTGGCCTTCCACTGGGGCAGCGGGAT,CCDC101,73.04,214.0,0.77852349,0,AZD_200nM,0.42504056897518605 -5237,GCTGTTGGCGAAGGCGCTGTCCTTGGGGCA,MED12,87.64,1908.0,0.124458874,0,AZD_200nM,0.17857215293150613 -5238,GCTGTTGGCGAAGGCGCTGTCCTTGGGGCA,MED12,87.64,1908.0,0.104978355,0,PLX_2uM,0.17857215293150613 -5239,GATCTTGGGGGTCAGTCTGTTCTCAGGGTC,NF2,41.68,248.0,0.448430493,0,PLX_2uM,0.36485915755105763 -5240,CAGATTGGTAGTTCACCAGCATTAAGGAGT,MED12,53.15,1157.0,0.649350649,0,AZD_200nM,0.5175743738324833 -5241,CAGATTGGTAGTTCACCAGCATTAAGGAGT,MED12,53.15,1157.0,0.573593074,0,PLX_2uM,0.5175743738324833 -5242,TACTTTGGTCCAAGGTGGTGGCCGAGGCGG,CD13,6.41,62.0,0.11868131900000001,0,nodrug,0.5358892404905284 -5243,GCGGTTGGTCGTACTGTTTGGGGTGGGAAA,MED12,34.86,759.0,0.725108225,0,AZD_200nM,0.565180998456258 -5244,GCGGTTGGTCGTACTGTTTGGGGTGGGAAA,MED12,34.86,759.0,0.652597403,0,PLX_2uM,0.565180998456258 -5245,TCAGTTGGTGGTAGTAGCGGACCCGGGCCT,CD15,70.0,371.0,0.648351648,0,nodrug,0.5923923374722324 -5246,GGGGTTGGTGGTGGCTGAGGCGGACGGGGT,CD13,5.48,53.0,0.304395604,0,nodrug,0.39913716045827147 -5247,CCCTTTGTAACCGAATCTTTGGATTGGGAC,MED12,22.32,486.0,0.8409090909999999,1,AZD_200nM,0.5421476698764393 -5248,CCCTTTGTAACCGAATCTTTGGATTGGGAC,MED12,22.32,486.0,0.805194805,1,PLX_2uM,0.5421476698764393 -5249,CAAGTTGTACGTTATGGGTGTATTAGGGAT,CUL3,20.44,157.0,0.019480518999999998,0,PLX_2uM,0.26137942479802595 -5250,TATGTTGTCAAGCTAAGGCGACAGAGGTGT,CD45,63.45,717.0,0.8628158840000001,1,nodrug,0.7105106137343232 -5251,CTGATTGTCAGCTTCCTCAGGAATGGGTAG,MED12,59.26,1290.0,0.672077922,0,AZD_200nM,0.5576595139078651 -5252,CTGATTGTCAGCTTCCTCAGGAATGGGTAG,MED12,59.26,1290.0,0.648268398,0,PLX_2uM,0.5576595139078651 -5253,AAGGTTGTCCAACTGACATCTTTCAGGTAT,CD45,15.49,175.0,0.093862816,0,nodrug,0.25873862749951565 -5254,CTTCTTGTCCTTCCCCAGGAAGGCTGGCAC,TADA2B,55.24,232.0,0.37894736799999995,0,AZD_200nM,0.43527831297556435 -5255,GCCATTGTCTCACCGTATGAAGCAGGGATT,NF1,50.16,1424.0,0.797554348,0,PLX_2uM,0.6864026727233613 -5256,ATGCTTGTGATACTTCATCCCTTCTGGGGA,CD45,86.81,981.0,0.10108303199999999,0,nodrug,0.19329383599894734 -5257,CGAATTGTGATCACATCCTCTGATTGGCAA,NF1,46.25,1313.0,0.581521739,0,PLX_2uM,0.5341112539219875 -5258,TACCTTGTGCAGCAATGTATTTCCTGGGTT,CD45,48.41,547.0,0.072202166,0,nodrug,0.3426877527609837 -5259,CTCCTTGTGCTCTGGGTCATCGGCAGGATC,MED12,29.49,642.0,0.32034632,0,AZD_200nM,0.478494347510779 -5260,CTCCTTGTGCTCTGGGTCATCGGCAGGATC,MED12,29.49,642.0,0.41017316,0,PLX_2uM,0.478494347510779 -5261,GGCCTTGTGCTGCTCCTCTAACAATGGCAC,MED12,50.71,1104.0,0.694805195,0,AZD_200nM,0.6573014941415394 -5262,GGCCTTGTGCTGCTCCTCTAACAATGGCAC,MED12,50.71,1104.0,0.636363636,0,PLX_2uM,0.6573014941415394 -5263,GAGCTTGTGGAGACCAGGCCTGCAGGGGAT,H2-K,69.65,257.0,0.24852071,0,nodrug,0.5054014413851871 -5264,CTTGTTGTGGCCCTGGCAGGTGGGGGGCAT,MED12,70.74,1540.0,0.6341991339999999,0,AZD_200nM,0.5498913232462588 -5265,CTTGTTGTGGCCCTGGCAGGTGGGGGGCAT,MED12,70.74,1540.0,0.545454545,0,PLX_2uM,0.5498913232462588 -5266,GGTGTTGTTCAGCGCCAGAGTGACAGGGAC,CD13,70.01,677.0,0.20769230800000002,0,nodrug,0.3987697405559406 -5267,TGGTTTGTTCTACAAATTGAGTATTGGTAT,NF1,33.74,958.0,0.9714673909999999,1,PLX_2uM,0.4379022323998568 -5268,ACTTTTGTTGCCATCCTCATCGCTCGGCAG,MED12,52.23,1137.0,0.981601732,1,AZD_200nM,0.5466547094077299 -5269,ACTTTTGTTGCCATCCTCATCGCTCGGCAG,MED12,52.23,1137.0,0.989177489,1,PLX_2uM,0.5466547094077299 -5270,CTATTTTAAAGAATGTTAACAATATGGTGA,NF1,2.36,67.0,0.135869565,0,PLX_2uM,0.24673831922065043 -5271,CTGTTTTAAAGCGATTGCTAGGCCCGGTAT,NF1,58.12,1650.0,0.9986413040000001,1,PLX_2uM,0.5984395663320687 -5272,CCTTTTTAACTGGTCCATAAAATGTGGCAT,CUL3,73.31,563.0,0.8311688309999999,1,PLX_2uM,0.5926680264868338 -5273,GAATTTTACATACACTACTAACTCTGGTTA,NF1,85.17,2418.0,0.569293478,0,PLX_2uM,0.47864928995857176 -5274,CTGTTTTACATAGGTATCTTTAGGTGGTGT,CUL3,64.84,498.0,0.8441558440000001,1,PLX_2uM,0.622439332902126 -5275,GAGCTTTACCTTGCTCCCTCAAATAGGAAC,CUL3,41.8,321.0,0.40259740299999996,0,PLX_2uM,0.32433345752919507 -5276,CACATTTACTGACCTGGGGAATGCTGGGAA,NF1,98.27,2790.0,0.047554347999999996,0,PLX_2uM,0.09255834156664818 -5277,ACGCTTTACTTTGGTCCAAGGTGGTGGCCG,CD13,6.62,64.0,0.389010989,0,nodrug,0.5567584535769463 -5278,CTACTTTAGAACAACATCTTATGTGGGATG,NF1,73.05,2074.0,0.313858696,0,PLX_2uM,0.5753801755416523 -5279,AGATTTTATACAAAACAACAAGCAAGGCTA,CD45,37.26,421.0,0.281588448,0,nodrug,0.6320102146601477 -5280,AAAGTTTCAAGTCGTCATCATCTTGGGGAT,TADA1,39.4,132.0,0.211009174,0,AZD_200nM,0.3548887887254023 -5281,CTCTTTTCACAATGGAGTGTACGAGGGAGA,CD45,34.25,387.0,0.7003610109999999,0,nodrug,0.6833711895398028 -5282,TTTTTTTCAGCTTCCAATAAAAACAGGACA,NF1,0.85,24.0,0.171195652,0,PLX_2uM,0.37283218451379585 -5283,TATGTTTCCAACAAAATGTCAGAATGGATT,CD45,40.8,461.0,0.140794224,0,nodrug,0.5123655254971625 -5284,TCATTTTCCTACTTGTTCAGTCCATGGTGG,NF1,12.26,348.0,0.668478261,0,PLX_2uM,0.5128565346671228 -5285,TGTTTTTCCTCCACAGACTGAATGTGGATG,CUL3,60.03,461.0,0.896103896,1,PLX_2uM,0.6066104052783352 -5286,TGCTTTTCCTCGACCGCAACCCCGCGGTCT,CD15,90.38,479.0,0.567765568,0,nodrug,0.5746134937681736 -5287,TGGCTTTCGAGAACTCGCAGCACCTGGATT,CD15,78.87,418.0,0.17582417600000003,0,nodrug,0.40315594562770757 -5288,CATGTTTCTATCCGACCTGAGCACAGGCTT,MED12,65.09,1417.0,0.572510823,0,AZD_200nM,0.6223377738341308 -5289,CATGTTTCTATCCGACCTGAGCACAGGCTT,MED12,65.09,1417.0,0.6038961039999999,0,PLX_2uM,0.6223377738341308 -5290,CTCTTTTCTCCCTTTAGCAGAGTCAGGGCA,MED12,88.1,1918.0,0.088744589,0,AZD_200nM,0.280504602850854 -5291,CTCTTTTCTCCCTTTAGCAGAGTCAGGGCA,MED12,88.1,1918.0,0.10173160199999999,0,PLX_2uM,0.280504602850854 -5292,CAGGTTTCTCGGAGCCCCAGAGTCCGGCAC,NF2,8.91,53.0,0.825112108,1,PLX_2uM,0.5213843092493852 -5293,ATTATTTCTGAAGTGAATGAAGAGGGGTGT,CD13,75.49,730.0,0.658241758,0,nodrug,0.6218346017298912 -5294,ATTGTTTCTGCCTCTGCAGATACTGGGCTA,TADA1,7.76,26.0,0.119266055,0,AZD_200nM,0.4779569256078834 -5295,CCATTTTCTTCACACCTGTCGTGAAGGAAA,NF1,4.4,125.0,0.00951087,0,PLX_2uM,0.5924362640338081 -5296,CTGGTTTCTTCATCAATTCCAGGCAGGTAC,NF1,96.65,2744.0,0.028532609,0,PLX_2uM,0.14969357132360805 -5297,TCTTTTTCTTGCATAAACCTAAAAAGGACC,CUL3,54.56,419.0,0.103896104,0,PLX_2uM,0.1757182360489589 -5298,CGTATTTGAAGTCCCACTTTCTCATGGTTA,NF1,31.95,907.0,0.326086957,0,PLX_2uM,0.5461519677571552 -5299,CATGTTTGACCGCTCCGAGGTCTATGGCCC,CD13,73.84,714.0,0.12197802199999999,0,nodrug,0.3387235582133315 -5300,TACCTTTGAGCTAGTTCTGTCCACTGGTCC,NF1,78.51,2229.0,0.767663043,0,PLX_2uM,0.4834917833304991 -5301,TCATTTTGCCAAGAGATGAAATTTAGGTGA,NF1,36.53,1037.0,0.16847826100000002,0,PLX_2uM,0.2378138132600246 -5302,CACCTTTGGGAAGCATGTTGGACAGGGCTG,CD13,25.54,247.0,0.724175824,0,nodrug,0.5459614015694414 -5303,AGGGTTTGGGTGGTGCAGGAGGTCCGGAGG,MED12,83.6,1820.0,0.454545455,0,AZD_200nM,0.3460404044288308 -5304,AGGGTTTGGGTGGTGCAGGAGGTCCGGAGG,MED12,83.6,1820.0,0.45995671,0,PLX_2uM,0.3460404044288308 -5305,GCACTTTGGTGTGGCTGACTGAGTGGGCCA,CUL3,67.19,516.0,0.8506493509999999,1,PLX_2uM,0.5867579731111181 -5306,TTCTTTTGTAAGAACCCGCTGTGTTGGTTT,CUL3,83.46,641.0,0.571428571,0,PLX_2uM,0.49206574782434404 -5307,GCCCTTTGTCATCGTAGGAAGATATGGCTG,TADA2B,21.9,92.0,0.863157895,1,AZD_200nM,0.4797282796825999 -5308,CAAATTTGTTCTTTAAATGGCTACAGGAGG,MED12,45.15,983.0,0.032467532,0,AZD_200nM,0.4789519591068859 -5309,CAAATTTGTTCTTTAAATGGCTACAGGAGG,MED12,45.15,983.0,0.05411255400000001,0,PLX_2uM,0.4789519591068859 diff --git a/auto_search_corrected/azimuth/data/V1_data.xlsx b/auto_search_corrected/azimuth/data/V1_data.xlsx deleted file mode 100644 index 544adfd..0000000 Binary files a/auto_search_corrected/azimuth/data/V1_data.xlsx and /dev/null differ diff --git a/auto_search_corrected/azimuth/data/V1_suppl_data.txt b/auto_search_corrected/azimuth/data/V1_suppl_data.txt deleted file mode 100644 index 93fbe7e..0000000 --- a/auto_search_corrected/azimuth/data/V1_suppl_data.txt +++ /dev/null @@ -1,2145 +0,0 @@ -Spacer Sequence Extended Spacer(NNNN[20nt]NGGNNNNNNN) Strand Transcript Gene Symbol Nucleotide cut position Amino Acid Cut position Percent Peptide Annotation Activity Percent Rank -CTGATCTCCAGATATGACCA ACAGCTGATCTCCAGATATGACCATGGGTTTGTG sense ENSMUST00000182755 CD45 242 2 0.18 CDS 2.308903179 0.346278317 -TGATCTCCAGATATGACCAT CAGCTGATCTCCAGATATGACCATGGGTTTGTGG sense ENSMUST00000182755 CD45 243 2 0.18 CDS 2.530273113 0.365695793 -AAGTTTGAGCCACAAACCCA CCAGAAGTTTGAGCCACAAACCCATGGTCATATC antisense ENSMUST00000182755 CD45 248 4 0.35 CDS 4.098996408 0.857605178 -CAGATATGACCATGGGTTTG TCTCCAGATATGACCATGGGTTTGTGGCTCAAAC sense ENSMUST00000182755 CD45 250 5 0.44 CDS 3.807250538 0.705501618 -GGGTTTGTGGCTCAAACTTC CCATGGGTTTGTGGCTCAAACTTCTGGCCTTTGG sense ENSMUST00000182755 CD45 263 9 0.8 CDS 1.585304364 0.258899676 -TGGCTCAAACTTCTGGCCTT TTTGTGGCTCAAACTTCTGGCCTTTGGATTTGCC sense ENSMUST00000182755 CD45 270 11 0.97 CDS -3.768976314 0.006472492 -GTCCAGAAGGGCAAATCCAA CTGTGTCCAGAAGGGCAAATCCAAAGGCCAGAAG antisense ENSMUST00000182755 CD45 275 13 1.15 CDS 3.816748806 0.71197411 -GGCCTTTGGATTTGCCCTTC TTCTGGCCTTTGGATTTGCCCTTCTGGACACAGA sense ENSMUST00000182755 CD45 284 16 1.42 CDS 1.247027719 0.207119741 -AAAGACTTCTGTGTCCAGAA TGACAAAGACTTCTGTGTCCAGAAGGGCAAATCC antisense ENSMUST00000182755 CD45 287 17 1.5 CDS 4.559195176 0.996763754 -CAAAGACTTCTGTGTCCAGA GTGACAAAGACTTCTGTGTCCAGAAGGGCAAATC antisense ENSMUST00000182755 CD45 288 17 1.5 CDS 3.497214948 0.569579288 -GACACAGAAGTCTTTGTCAC TCTGGACACAGAAGTCTTTGTCACAGGTAAGCAC sense ENSMUST00000182755 CD45 306 23 2.04 CDS 3.128340002 0.472491909 -TTCTTACCATCACTGGGTGT TTAATTCTTACCATCACTGGGTGTAGGTGTTTGC antisense ENSMUST00000182755 CD45 49013 30 2.65 CDS 1.03654637 0.184466019 -CAAACACCTACACCCAGTGA AGGGCAAACACCTACACCCAGTGATGGTAAGAAT sense ENSMUST00000182755 CD45 49018 31 2.74 CDS 1.15631945 0.197411003 -TATTAATTCTTACCATCACT CAAATATTAATTCTTACCATCACTGGGTGTAGGT antisense ENSMUST00000182755 CD45 49019 32 2.83 CDS -0.501266726 0.061488673 -ATATTAATTCTTACCATCAC TCAAATATTAATTCTTACCATCACTGGGTGTAGG antisense ENSMUST00000182755 CD45 49020 32 2.83 CDS -0.736916026 0.051779935 -ACCACATGTTTGCTTCGTTG ACTTACCACATGTTTGCTTCGTTGTGGTAGCTGT antisense ENSMUST00000182755 CD45 59692 36 3.19 CDS 1.863865708 0.294498382 -ACCACAACGAAGCAAACATG AGCTACCACAACGAAGCAAACATGTGGTAAGTTT sense ENSMUST00000182755 CD45 59702 39 3.45 CDS 2.053144041 0.317152104 -ATGTTCCCAAACATGGCAGC AGTAATGTTCCCAAACATGGCAGCTGGAAAAAAA antisense ENSMUST00000182755 CD45 61548 42 3.72 CDS -2.52809686 0.01618123 -CACAGTAATGTTCCCAAACA AATTCACAGTAATGTTCCCAAACATGGCAGCTGG antisense ENSMUST00000182755 CD45 61555 44 3.89 CDS 2.530590482 0.368932039 -AGTCTGATTACTAGATTCAT TAAAAGTCTGATTACTAGATTCATAGGTGTAATT antisense ENSMUST00000182755 CD45 61585 54 4.78 CDS 2.746005713 0.40776699 -CATTTCCACACTTAGCATTT TCCTCATTTCCACACTTAGCATTTTGGACATCTT antisense ENSMUST00000182755 CD45 61631 69 6.11 CDS -0.854795022 0.042071197 -GATGTCCAAAATGCTAAGTG CAAAGATGTCCAAAATGCTAAGTGTGGAAATGAG sense ENSMUST00000182755 CD45 61637 71 6.28 CDS 2.959035065 0.436893204 -AAATGCTAAGTGTGGAAATG TCCAAAATGCTAAGTGTGGAAATGAGGATTGTGA sense ENSMUST00000182755 CD45 61645 74 6.55 CDS 3.035791088 0.453074434 -ATAGATTTATATGTACCACC AACTATAGATTTATATGTACCACCAGGTGAATGT sense ENSMUST00000182755 CD45 61757 111 9.82 CDS 4.409120762 0.964401294 -AGAAATTGACATTCACCTGG AGAGAGAAATTGACATTCACCTGGTGGTACATAT antisense ENSMUST00000182755 CD45 61761 113 10 CDS 3.631003541 0.634304207 -TGACTGCACACCAAAAGAAA TACATGACTGCACACCAAAAGAAAAGGCTAATAC sense ENSMUST00000182755 CD45 63033 126 11.15 CDS 3.721764692 0.663430421 -GGCTAATACTTCAATTTGTT AAAAGGCTAATACTTCAATTTGTTTGGAGTGGAA sense ENSMUST00000182755 CD45 63054 133 11.77 CDS 0.943658476 0.177993528 -ATACTTCAATTTGTTTGGAG GCTAATACTTCAATTTGTTTGGAGTGGAAAACAA sense ENSMUST00000182755 CD45 63059 135 11.95 CDS 3.305839981 0.511326861 -GCATCGTACCTGGCTCACAG CCCAGCATCGTACCTGGCTCACAGTGGAGTACAT antisense ENSMUST00000182755 CD45 63127 157 13.89 CDS 4.058112646 0.851132686 -TATGTACTCCACTGTGAGCC TTCATATGTACTCCACTGTGAGCCAGGTACGATG sense ENSMUST00000182755 CD45 63130 158 13.98 CDS 1.264600447 0.210355987 -TTGTCCAACTGACATCTTTC AAGGTTGTCCAACTGACATCTTTCAGGTATGAAT antisense ENSMUST00000182755 CD45 64059 175 15.49 CDS 0.277886453 0.129449838 -CATACCTGAAAGATGTCAGT CATTCATACCTGAAAGATGTCAGTTGGACAACCT sense ENSMUST00000182755 CD45 64066 177 15.66 CDS 3.85008341 0.734627832 -TGTAATTTGTTTGGGCACGA CATGTGTAATTTGTTTGGGCACGAAGGTTGTCCA antisense ENSMUST00000182755 CD45 64082 182 16.11 CDS 1.049784076 0.187702265 -TACACATGTGTAATTTGTTT CTGCTACACATGTGTAATTTGTTTGGGCACGAAG antisense ENSMUST00000182755 CD45 64090 185 16.37 CDS 1.791652604 0.281553398 -CTACACATGTGTAATTTGTT TCTGCTACACATGTGTAATTTGTTTGGGCACGAA antisense ENSMUST00000182755 CD45 64091 185 16.37 CDS 1.714650713 0.275080906 -GTAGCAGAAATCTTATATCG ATGTGTAGCAGAAATCTTATATCGCGGTGTAAAA sense ENSMUST00000182755 CD45 64121 195 17.26 CDS 4.504162237 0.980582524 -TATAAATGTGCAGACAGATT ATGTTATAAATGTGCAGACAGATTTGGGGAGTAA sense ENSMUST00000182755 CD45 64165 210 18.58 CDS 0.07333609 0.116504854 -ATAAATGTGCAGACAGATTT TGTTATAAATGTGCAGACAGATTTGGGGAGTAAG sense ENSMUST00000182755 CD45 64166 210 18.58 CDS 1.793347823 0.284789644 -TAAATGTGCAGACAGATTTG GTTATAAATGTGCAGACAGATTTGGGGAGTAAGT sense ENSMUST00000182755 CD45 64167 211 18.67 CDS 4.150155588 0.886731392 -CAACTAGGCTTAGGCGTTTC CCCACAACTAGGCTTAGGCGTTTCTGGAACTGTT antisense ENSMUST00000182755 CD45 67424 216 19.12 CDS 0.779915235 0.161812298 -GGATCCCCACAACTAGGCTT AGCTGGATCCCCACAACTAGGCTTAGGCGTTTCT antisense ENSMUST00000182755 CD45 67433 219 19.38 CDS 4.254882184 0.925566343 -GAAACGCCTAAGCCTAGTTG TCCAGAAACGCCTAAGCCTAGTTGTGGGGATCCA sense ENSMUST00000182755 CD45 67438 220 19.47 CDS 3.914576667 0.766990291 -AAACGCCTAAGCCTAGTTGT CCAGAAACGCCTAAGCCTAGTTGTGGGGATCCAG sense ENSMUST00000182755 CD45 67439 221 19.56 CDS 3.784997152 0.692556634 -GCAGCTGGATCCCCACAACT TCTTGCAGCTGGATCCCCACAACTAGGCTTAGGC antisense ENSMUST00000182755 CD45 67439 221 19.56 CDS 4.372986994 0.951456311 -AACGCCTAAGCCTAGTTGTG CAGAAACGCCTAAGCCTAGTTGTGGGGATCCAGC sense ENSMUST00000182755 CD45 67440 221 19.56 CDS 4.057187251 0.84789644 -CAAGAAAAACGTTAGTCTCT GCTGCAAGAAAAACGTTAGTCTCTTGGCCTGAGC sense ENSMUST00000182755 CD45 67472 232 20.53 CDS -0.345638732 0.074433657 -TCAGGTTTAGATACAGGCTC AGACTCAGGTTTAGATACAGGCTCAGGCCAAGAG antisense ENSMUST00000182755 CD45 67484 236 20.88 CDS 3.339625069 0.524271845 -GCAGACTCAGGTTTAGATAC AGATGCAGACTCAGGTTTAGATACAGGCTCAGGC antisense ENSMUST00000182755 CD45 67490 238 21.06 CDS 3.051166779 0.45631068 -TGGGGTTTAGATGCAGACTC TCCATGGGGTTTAGATGCAGACTCAGGTTTAGAT antisense ENSMUST00000182755 CD45 67502 242 21.42 CDS 3.022818226 0.446601942 -GAGTCTGCATCTAAACCCCA ACCTGAGTCTGCATCTAAACCCCATGGATATGTT sense ENSMUST00000182755 CD45 67516 246 21.77 CDS 4.444289495 0.96763754 -TAGCATAAAACATATCCATG CTTATAGCATAAAACATATCCATGGGGTTTAGAT antisense ENSMUST00000182755 CD45 67520 248 21.95 CDS 4.543845241 0.993527508 -ATAGCATAAAACATATCCAT TCTTATAGCATAAAACATATCCATGGGGTTTAGA antisense ENSMUST00000182755 CD45 67521 248 21.95 CDS 4.509322132 0.98381877 -TATAGCATAAAACATATCCA TTCTTATAGCATAAAACATATCCATGGGGTTTAG antisense ENSMUST00000182755 CD45 67522 248 21.95 CDS 4.687447828 1 -TTATGCTATAAGAACAATTC TGTTTTATGCTATAAGAACAATTCAGGTAATGTA sense ENSMUST00000182755 CD45 67546 256 22.65 CDS 2.86392153 0.42394822 -TCAAAACTGGTCACATTATT CACCTCAAAACTGGTCACATTATTAGGCAAACTT antisense ENSMUST00000182755 CD45 74151 266 23.54 CDS -2.435016816 0.019417476 -CAAGCTTTCCACCTCAAAAC GTTTCAAGCTTTCCACCTCAAAACTGGTCACATT antisense ENSMUST00000182755 CD45 74164 270 23.89 CDS 3.348016228 0.527508091 -GACACTTCATAGTATTTATA TAGGGACACTTCATAGTATTTATAAGGTTTCAAG antisense ENSMUST00000182755 CD45 74190 279 24.69 CDS 1.360648035 0.216828479 -CCCATTGACATAGGCAAGTA TCTTCCCATTGACATAGGCAAGTAGGGACACTTC antisense ENSMUST00000182755 CD45 74212 286 25.31 CDS 3.678555325 0.653721683 -TCCCATTGACATAGGCAAGT ATCTTCCCATTGACATAGGCAAGTAGGGACACTT antisense ENSMUST00000182755 CD45 74213 286 25.31 CDS 3.990788826 0.805825243 -TTGAATCTTCCCATTGACAT TTCTTTGAATCTTCCCATTGACATAGGCAAGTAG antisense ENSMUST00000182755 CD45 74221 289 25.58 CDS 1.100669912 0.194174757 -TCCCTACTTGCCTATGTCAA AGTGTCCCTACTTGCCTATGTCAATGGGAAGATT sense ENSMUST00000182755 CD45 74222 289 25.58 CDS 2.579008132 0.375404531 -CCCTACTTGCCTATGTCAAT GTGTCCCTACTTGCCTATGTCAATGGGAAGATTC sense ENSMUST00000182755 CD45 74223 290 25.66 CDS 3.05454644 0.462783172 -AATGGGAAGATTCAAAGAAA TGTCAATGGGAAGATTCAAAGAAATGGGACTGCT sense ENSMUST00000182755 CD45 74240 295 26.11 CDS 2.051704208 0.310679612 -ATGGGAAGATTCAAAGAAAT GTCAATGGGAAGATTCAAAGAAATGGGACTGCTG sense ENSMUST00000182755 CD45 74241 296 26.19 CDS 3.025501899 0.449838188 -TTCATTCCATTGACCTTGTC GGTTTTCATTCCATTGACCTTGTCCGGACCTATC antisense ENSMUST00000182755 CD45 75642 313 27.7 CDS -0.56986764 0.058252427 -ATAGGTCCGGACAAGGTCAA TTTGATAGGTCCGGACAAGGTCAATGGAATGAAA sense ENSMUST00000182755 CD45 75647 314 27.79 CDS 4.357571946 0.948220065 -TCAATGGAATGAAAACCTCC AAGGTCAATGGAATGAAAACCTCCCGGCCGACAG sense ENSMUST00000182755 CD45 75663 320 28.32 CDS 3.926770843 0.773462783 -ACTATTGTCTGTCGGCCGGG TTATACTATTGTCTGTCGGCCGGGAGGTTTTCAT antisense ENSMUST00000182755 CD45 75667 321 28.41 CDS 3.575647991 0.595469256 -TATACTATTGTCTGTCGGCC CATTTATACTATTGTCTGTCGGCCGGGAGGTTTT antisense ENSMUST00000182755 CD45 75670 322 28.5 CDS 1.288169007 0.213592233 -TTATACTATTGTCTGTCGGC ACATTTATACTATTGTCTGTCGGCCGGGAGGTTT antisense ENSMUST00000182755 CD45 75671 322 28.5 CDS 1.974429631 0.307443366 -ACATTTATACTATTGTCTGT TGTAACATTTATACTATTGTCTGTCGGCCGGGAG antisense ENSMUST00000182755 CD45 75675 324 28.67 CDS 4.487562679 0.974110032 -AATAGTATAAATGTTACATG AGACAATAGTATAAATGTTACATGTGGTCCTCCT sense ENSMUST00000182755 CD45 75695 330 29.2 CDS 4.046578797 0.838187702 -GGGCCATTAGTTTCATAAGG TTTAGGGCCATTAGTTTCATAAGGAGGACCACAT antisense ENSMUST00000182755 CD45 75708 335 29.65 CDS 4.380150615 0.957928803 -TTAGGGCCATTAGTTTCATA GGTTTTAGGGCCATTAGTTTCATAAGGAGGACCA antisense ENSMUST00000182755 CD45 75711 336 29.73 CDS 2.921760029 0.433656958 -GGTCCTCCTTATGAAACTAA ATGTGGTCCTCCTTATGAAACTAATGGCCCTAAA sense ENSMUST00000182755 CD45 75716 337 29.82 CDS 1.402387062 0.229773463 -TCTGACTACCAAAATGTAAA CACTTCTGACTACCAAAATGTAAAAGGTTTTAGG antisense ENSMUST00000182755 CD45 75736 344 30.44 CDS -3.351321118 0.012944984 -TTCAACTGACTATGAGTTTC ACTATTCAACTGACTATGAGTTTCTGGTAAGGTC sense ENSMUST00000182755 CD45 75838 378 33.45 CDS -2.213580921 0.025889968 -TTTCACAATGGAGTGTACGA CTCTTTTCACAATGGAGTGTACGAGGGAGATTCA sense ENSMUST00000182755 CD45 81046 387 34.25 CDS 3.841782339 0.731391586 -TAAAGCACTGATTATATTCC ATGCTAAAGCACTGATTATATTCCTGGTGTTTCT sense ENSMUST00000182755 CD45 82345 408 36.11 CDS 2.249085244 0.333333333 -TCACAATAATCAGAAACACC GATGTCACAATAATCAGAAACACCAGGAATATAA antisense ENSMUST00000182755 CD45 82352 410 36.28 CDS 2.827636247 0.414239482 -TTTATACAAAACAACAAGCA AGATTTTATACAAAACAACAAGCAAGGCTATTGA antisense ENSMUST00000182755 CD45 82384 421 37.26 CDS 2.494495924 0.355987055 -ATCTGCGCAAGAAAAGATCC TATGATCTGCGCAAGAAAAGATCCAGGTAAGAGA sense ENSMUST00000182755 CD45 82425 435 38.5 CDS 3.925969451 0.770226537 -CAGCAATTTAGATGAACAAC TTCACAGCAATTTAGATGAACAACAGGAACTCGT sense ENSMUST00000182755 CD45 83106 441 39.03 CDS 2.052071567 0.313915858 -AACAACAGGAACTCGTTGAA GATGAACAACAGGAACTCGTTGAAAGGGGTGAGT sense ENSMUST00000182755 CD45 83120 446 39.47 CDS 3.3088322 0.514563107 -ACAACAGGAACTCGTTGAAA ATGAACAACAGGAACTCGTTGAAAGGGGTGAGTA sense ENSMUST00000182755 CD45 83121 446 39.47 CDS 2.2706139 0.336569579 -CAACAGGAACTCGTTGAAAG TGAACAACAGGAACTCGTTGAAAGGGGTGAGTAT sense ENSMUST00000182755 CD45 83122 446 39.47 CDS 3.995072397 0.809061489 -AGATGATGAAAAGCAGCTGA TTACAGATGATGAAAAGCAGCTGATGGATGTGGA sense ENSMUST00000182755 CD45 85736 453 40.09 CDS 3.183861433 0.485436893 -TGAAAAGCAGCTGATGGATG ATGATGAAAAGCAGCTGATGGATGTGGAGCCAAT sense ENSMUST00000182755 CD45 85742 455 40.27 CDS 3.620024635 0.621359223 -AACAAAATGTCAGAATGGAT TTCCAACAAAATGTCAGAATGGATTGGCTCCACA antisense ENSMUST00000182755 CD45 85756 460 40.71 CDS 2.522232103 0.362459547 -TTTCCAACAAAATGTCAGAA TATGTTTCCAACAAAATGTCAGAATGGATTGGCT antisense ENSMUST00000182755 CD45 85761 461 40.8 CDS 1.218446172 0.200647249 -CAAAAGGAAGATTGCTGATG CATACAAAAGGAAGATTGCTGATGAGGGCAGACT sense ENSMUST00000182755 CD45 85799 474 41.95 CDS 3.531175246 0.579288026 -AAAAGGAAGATTGCTGATGA ATACAAAAGGAAGATTGCTGATGAGGGCAGACTG sense ENSMUST00000182755 CD45 85800 474 41.95 CDS 3.620157783 0.624595469 -TGATGAGGGCAGACTGTTCC TTGCTGATGAGGGCAGACTGTTCCTGGCTGAATT sense ENSMUST00000182755 CD45 85814 479 42.39 CDS 2.862011431 0.420711974 -ACTGTTCCTGGCTGAATTTC GCAGACTGTTCCTGGCTGAATTTCAGGTATGAGT sense ENSMUST00000182755 CD45 85826 483 42.74 CDS 1.530249539 0.252427184 -GTATCTTTCAGAGCATTCCA ATTTGTATCTTTCAGAGCATTCCACGGGTATTCA sense ENSMUST00000182755 CD45 86574 487 43.1 CDS 4.232291371 0.922330097 -TATCTTTCAGAGCATTCCAC TTTGTATCTTTCAGAGCATTCCACGGGTATTCAG sense ENSMUST00000182755 CD45 86575 487 43.1 CDS 4.103106428 0.86407767 -GGAAACTTGCTGAATACCCG GATGGGAAACTTGCTGAATACCCGTGGAATGCTC antisense ENSMUST00000182755 CD45 86580 489 43.27 CDS 4.286079737 0.928802589 -GGCTTTCGGGCATCTTTGAT GTGGGGCTTTCGGGCATCTTTGATGGGAAACTTG antisense ENSMUST00000182755 CD45 86601 496 43.89 CDS -0.196498346 0.084142395 -GGGCTTTCGGGCATCTTTGA TGTGGGGCTTTCGGGCATCTTTGATGGGAAACTT antisense ENSMUST00000182755 CD45 86602 496 43.89 CDS -0.40620539 0.071197411 -ATTCTGATTGTGGGGCTTTC TTTTATTCTGATTGTGGGGCTTTCGGGCATCTTT antisense ENSMUST00000182755 CD45 86614 500 44.25 CDS -0.649160037 0.055016181 -TATTCTGATTGTGGGGCTTT TTTTTATTCTGATTGTGGGGCTTTCGGGCATCTT antisense ENSMUST00000182755 CD45 86615 500 44.25 CDS 0.249138356 0.126213592 -AGGGAAGAATGTCAACATAA TCACAGGGAAGAATGTCAACATAACGGTTTTTAT antisense ENSMUST00000182755 CD45 86642 509 45.04 CDS 3.074458459 0.466019417 -ATCAGATGATTATAACCGTG TTTAATCAGATGATTATAACCGTGTGGAACTCTC sense ENSMUST00000182755 CD45 86758 519 45.93 CDS 4.202720098 0.909385113 -TTATTTCAGAGAGTTCCACA CCATTTATTTCAGAGAGTTCCACACGGTTATAAT antisense ENSMUST00000182755 CD45 86762 520 46.02 CDS 4.51101117 0.987055016 -GTGGAACTCTCTGAAATAAA CCGTGTGGAACTCTCTGAAATAAATGGAGATGCA sense ENSMUST00000182755 CD45 86777 525 46.46 CDS -1.090122917 0.038834951 -TCTGAAATAAATGGAGATGC ACTCTCTGAAATAAATGGAGATGCAGGGTCCACC sense ENSMUST00000182755 CD45 86786 528 46.73 CDS 3.533634658 0.582524272 -CTGAAATAAATGGAGATGCA CTCTCTGAAATAAATGGAGATGCAGGGTCCACCT sense ENSMUST00000182755 CD45 86787 529 46.81 CDS 4.197149463 0.902912621 -GTAGCTGGCATTTATGTAGG CAATGTAGCTGGCATTTATGTAGGTGGACCCTGC antisense ENSMUST00000182755 CD45 86800 533 47.17 CDS 3.879298961 0.747572816 -AATGTAGCTGGCATTTATGT CATCAATGTAGCTGGCATTTATGTAGGTGGACCC antisense ENSMUST00000182755 CD45 86803 534 47.26 CDS 4.346601476 0.944983819 -ATTACTTACATCAATGTAGC ATACATTACTTACATCAATGTAGCTGGCATTTAT antisense ENSMUST00000182755 CD45 86815 538 47.61 CDS 1.561087692 0.25566343 -ATCAGGGCTTCAAGGAACCC TTTGATCAGGGCTTCAAGGAACCCAGGAAATACA sense ENSMUST00000182755 CD45 91554 545 48.23 CDS 4.132675242 0.873786408 -TGTGCAGCAATGTATTTCCT ACCTTGTGCAGCAATGTATTTCCTGGGTTCCTTG antisense ENSMUST00000182755 CD45 91560 547 48.41 CDS 3.568462082 0.588996764 -TTGTGCAGCAATGTATTTCC TACCTTGTGCAGCAATGTATTTCCTGGGTTCCTT antisense ENSMUST00000182755 CD45 91561 547 48.41 CDS -0.12237756 0.093851133 -AGGAAATACATTGCTGCACA ACCCAGGAAATACATTGCTGCACAAGGTAATTCA sense ENSMUST00000182755 CD45 91574 551 48.76 CDS 3.642303965 0.637540453 -CTGTCTCATCCCGGGGCCCT TCAACTGTCTCATCCCGGGGCCCTAGGAGTTAAG antisense ENSMUST00000182755 CD45 91666 553 48.94 CDS 2.877328676 0.427184466 -GTACTTAACTCCTAGGGCCC ACTTGTACTTAACTCCTAGGGCCCCGGGATGAGA sense ENSMUST00000182755 CD45 91667 554 49.03 CDS 4.038791631 0.83171521 -TACTTAACTCCTAGGGCCCC CTTGTACTTAACTCCTAGGGCCCCGGGATGAGAC sense ENSMUST00000182755 CD45 91668 554 49.03 CDS 4.159035264 0.889967638 -TCATCAACTGTCTCATCCCG GAAGTCATCAACTGTCTCATCCCGGGGCCCTAGG antisense ENSMUST00000182755 CD45 91673 556 49.2 CDS 4.029966142 0.825242718 -GTCATCAACTGTCTCATCCC AGAAGTCATCAACTGTCTCATCCCGGGGCCCTAG antisense ENSMUST00000182755 CD45 91674 556 49.2 CDS 3.7975773 0.69579288 -AGTCATCAACTGTCTCATCC CAGAAGTCATCAACTGTCTCATCCCGGGGCCCTA antisense ENSMUST00000182755 CD45 91675 556 49.2 CDS 3.415996319 0.553398058 -ATGAGACAGTTGATGACTTC CGGGATGAGACAGTTGATGACTTCTGGAGGATGA sense ENSMUST00000182755 CD45 91691 562 49.73 CDS 2.358791792 0.349514563 -AGACAGTTGATGACTTCTGG GATGAGACAGTTGATGACTTCTGGAGGATGATCT sense ENSMUST00000182755 CD45 91694 563 49.82 CDS 4.53662326 0.990291262 -ATGACTTCTGGAGGATGATC GTTGATGACTTCTGGAGGATGATCTGGGAGCAAA sense ENSMUST00000182755 CD45 91703 566 50.09 CDS 3.618292524 0.618122977 -TGACTTCTGGAGGATGATCT TTGATGACTTCTGGAGGATGATCTGGGAGCAAAA sense ENSMUST00000182755 CD45 91704 566 50.09 CDS 3.934677204 0.779935275 -GAGGATGATCTGGGAGCAAA TCTGGAGGATGATCTGGGAGCAAAAGGCCACAGT sense ENSMUST00000182755 CD45 91713 569 50.35 CDS 3.982322697 0.799352751 -TGTGACCATGACAATAACTG ATCGTGTGACCATGACAATAACTGTGGCCTTTTG antisense ENSMUST00000182755 CD45 91725 573 50.71 CDS 4.345761084 0.941747573 -AAAGGCCACAGTTATTGTCA AGCAAAAGGCCACAGTTATTGTCATGGTCACACG sense ENSMUST00000182755 CD45 91731 575 50.88 CDS 3.780706937 0.689320388 -ATGGTCACACGATGTGAAGA TGTCATGGTCACACGATGTGAAGAAGGAAACAGG sense ENSMUST00000182755 CD45 91750 581 51.42 CDS 3.123023532 0.469255663 -CACGATGTGAAGAAGGAAAC GTCACACGATGTGAAGAAGGAAACAGGGTAAGAA sense ENSMUST00000182755 CD45 91757 584 51.68 CDS 2.622502088 0.378640777 -ACGATGTGAAGAAGGAAACA TCACACGATGTGAAGAAGGAAACAGGGTAAGAAC sense ENSMUST00000182755 CD45 91758 584 51.68 CDS 4.175179299 0.896440129 -AGAACAAGTGCGCAGAATAC CTGTAGAACAAGTGCGCAGAATACTGGCCAAGCA sense ENSMUST00000182755 CD45 92579 591 52.3 CDS 3.171625237 0.482200647 -CGCAGAATACTGGCCAAGCA AGTGCGCAGAATACTGGCCAAGCATGGAGGAAGG sense ENSMUST00000182755 CD45 92589 594 52.57 CDS 1.429818279 0.236245955 -CGAGTGCCTTCCTCCATGCT AGCCCGAGTGCCTTCCTCCATGCTTGGCCAGTAT antisense ENSMUST00000182755 CD45 92591 595 52.65 CDS 3.406981621 0.546925566 -AGAATACTGGCCAAGCATGG GCGCAGAATACTGGCCAAGCATGGAGGAAGGCAC sense ENSMUST00000182755 CD45 92592 595 52.65 CDS 4.218959273 0.915857605 -TACTGGCCAAGCATGGAGGA AGAATACTGGCCAAGCATGGAGGAAGGCACTCGG sense ENSMUST00000182755 CD45 92596 596 52.74 CDS 3.666448074 0.650485437 -CAAGCATGGAGGAAGGCACT TGGCCAAGCATGGAGGAAGGCACTCGGGCTTTCA sense ENSMUST00000182755 CD45 92603 599 53.01 CDS 3.702453669 0.656957929 -AAGCATGGAGGAAGGCACTC GGCCAAGCATGGAGGAAGGCACTCGGGCTTTCAA sense ENSMUST00000182755 CD45 92604 599 53.01 CDS 3.607922173 0.611650485 -TGTAATCAGGACATCGTTTG ATGATGTAATCAGGACATCGTTTGTGGTCATTGA antisense ENSMUST00000182755 CD45 92647 613 54.25 CDS 3.404301413 0.54368932 -AGCTTCTGAATGATGTAATC GTTCAGCTTCTGAATGATGTAATCAGGACATCGT antisense ENSMUST00000182755 CD45 92660 618 54.69 CDS 2.09617118 0.323624595 -TAGAAAAAAGAAAAAGCAAC TGAGTAGAAAAAAGAAAAAGCAACTGGAAGAGAA sense ENSMUST00000182755 CD45 94345 632 55.93 CDS 2.659333688 0.388349515 -GGTCTGGCCAGCTGGTGAAT CCATGGTCTGGCCAGCTGGTGAATTGGATATGAG antisense ENSMUST00000182755 CD45 94375 642 56.81 CDS 3.054464844 0.459546926 -CTCATATCCAATTCACCAGC GTGACTCATATCCAATTCACCAGCTGGCCAGACC sense ENSMUST00000182755 CD45 94379 644 56.99 CDS 3.496999729 0.566343042 -AACCCCATGGTCTGGCCAGC CAGGAACCCCATGGTCTGGCCAGCTGGTGAATTG antisense ENSMUST00000182755 CD45 94383 645 57.08 CDS 0.668949956 0.145631068 -TTCACCAGCTGGCCAGACCA CCAATTCACCAGCTGGCCAGACCATGGGGTTCCT sense ENSMUST00000182755 CD45 94390 647 57.26 CDS 4.129972763 0.867313916 -TCACCAGCTGGCCAGACCAT CAATTCACCAGCTGGCCAGACCATGGGGTTCCTG sense ENSMUST00000182755 CD45 94391 648 57.35 CDS 3.836070389 0.724919094 -TCTTCAGGAACCCCATGGTC AGGGTCTTCAGGAACCCCATGGTCTGGCCAGCTG antisense ENSMUST00000182755 CD45 94391 648 57.35 CDS 3.297645448 0.508090615 -CACCAGCTGGCCAGACCATG AATTCACCAGCTGGCCAGACCATGGGGTTCCTGA sense ENSMUST00000182755 CD45 94392 648 57.35 CDS 3.995994482 0.812297735 -GAGGGTCTTCAGGAACCCCA AGGTGAGGGTCTTCAGGAACCCCATGGTCTGGCC antisense ENSMUST00000182755 CD45 94396 649 57.43 CDS 4.130151572 0.870550162 -AGGAGCAGGTGAGGGTCTTC TTTGAGGAGCAGGTGAGGGTCTTCAGGAACCCCA antisense ENSMUST00000182755 CD45 94406 653 57.79 CDS -1.518512901 0.029126214 -GAAGTTTGAGGAGCAGGTGA CGTCGAAGTTTGAGGAGCAGGTGAGGGTCTTCAG antisense ENSMUST00000182755 CD45 94414 655 57.96 CDS 3.767473077 0.682847896 -CGAAGTTTGAGGAGCAGGTG CCGTCGAAGTTTGAGGAGCAGGTGAGGGTCTTCA antisense ENSMUST00000182755 CD45 94415 656 58.05 CDS 3.142564788 0.475728155 -TCCGTCGAAGTTTGAGGAGC ACTCTCCGTCGAAGTTTGAGGAGCAGGTGAGGGT antisense ENSMUST00000182755 CD45 94420 657 58.14 CDS 3.273581151 0.504854369 -TAACTCTCCGTCGAAGTTTG GCATTAACTCTCCGTCGAAGTTTGAGGAGCAGGT antisense ENSMUST00000182755 CD45 94426 659 58.32 CDS 2.469269211 0.352750809 -ACCTGCTCCTCAAACTTCGA CCTCACCTGCTCCTCAAACTTCGACGGAGAGTTA sense ENSMUST00000182755 CD45 94430 661 58.5 CDS 1.438640453 0.239482201 -CTTCTTCAGTGGTCCCATTG GCAACTTCTTCAGTGGTCCCATTGTGGTGCACTG sense ENSMUST00000182755 CD45 94473 675 59.73 CDS 3.186782056 0.488673139 -TACCTGCAGTGCACCACAAT TCTTTACCTGCAGTGCACCACAATGGGACCACTG antisense ENSMUST00000182755 CD45 94475 676 59.82 CDS 3.89522234 0.757281553 -TTACCTGCAGTGCACCACAA GTCTTTACCTGCAGTGCACCACAATGGGACCACT antisense ENSMUST00000182755 CD45 94476 676 59.82 CDS 4.099052009 0.860841424 -GTCCCATTGTGGTGCACTGC AGTGGTCCCATTGTGGTGCACTGCAGGTAAAGAC sense ENSMUST00000182755 CD45 94484 679 60.09 CDS 3.521877358 0.572815534 -TGTTCCCTTAGTGCTGGTGT TGTTTGTTCCCTTAGTGCTGGTGTTGGGCGTACA sense ENSMUST00000182755 CD45 95061 682 60.35 CDS 3.606580237 0.608414239 -GTTCCCTTAGTGCTGGTGTT GTTTGTTCCCTTAGTGCTGGTGTTGGGCGTACAG sense ENSMUST00000182755 CD45 95062 683 60.44 CDS 3.87250056 0.74433657 -AGTGCTGGTGTTGGGCGTAC CCTTAGTGCTGGTGTTGGGCGTACAGGTACCTAC sense ENSMUST00000182755 CD45 95070 685 60.62 CDS 4.189434475 0.899676375 -GGGCGTACAGGTACCTACAT TGTTGGGCGTACAGGTACCTACATTGGAATTGAT sense ENSMUST00000182755 CD45 95082 689 60.97 CDS 4.018732869 0.818770227 -CATGGCATCAATTCCAATGT CCAGCATGGCATCAATTCCAATGTAGGTACCTGT antisense ENSMUST00000182755 CD45 95084 690 61.06 CDS 4.021252626 0.822006472 -CATTGGAATTGATGCCATGC CCTACATTGGAATTGATGCCATGCTGGAAGGCCT sense ENSMUST00000182755 CD45 95099 695 61.5 CDS 3.658670105 0.644012945 -TGCTTCCAGGCCTTCCAGCA CCTCTGCTTCCAGGCCTTCCAGCATGGCATCAAT antisense ENSMUST00000182755 CD45 95102 696 61.59 CDS 3.816558806 0.708737864 -GGAATTGATGCCATGCTGGA CATTGGAATTGATGCCATGCTGGAAGGCCTGGAA sense ENSMUST00000182755 CD45 95103 696 61.59 CDS 3.935341676 0.783171521 -TGATGCCATGCTGGAAGGCC GAATTGATGCCATGCTGGAAGGCCTGGAAGCAGA sense ENSMUST00000182755 CD45 95108 698 61.77 CDS -0.773950088 0.045307443 -CCACTTTGCCCTCTGCTTCC ACATCCACTTTGCCCTCTGCTTCCAGGCCTTCCA antisense ENSMUST00000182755 CD45 95115 700 61.95 CDS -1.376947509 0.035598706 -GCTGGAAGGCCTGGAAGCAG CCATGCTGGAAGGCCTGGAAGCAGAGGGCAAAGT sense ENSMUST00000182755 CD45 95117 701 62.04 CDS 3.897934989 0.760517799 -CTGGAAGGCCTGGAAGCAGA CATGCTGGAAGGCCTGGAAGCAGAGGGCAAAGTG sense ENSMUST00000182755 CD45 95118 701 62.04 CDS 3.486632838 0.563106796 -CCTGGAAGCAGAGGGCAAAG AAGGCCTGGAAGCAGAGGGCAAAGTGGATGTCTA sense ENSMUST00000182755 CD45 95126 704 62.3 CDS 4.031406903 0.828478964 -GAGGGCAAAGTGGATGTCTA AGCAGAGGGCAAAGTGGATGTCTATGGTTATGTT sense ENSMUST00000182755 CD45 95136 707 62.57 CDS 3.356781367 0.533980583 -ATGGTTATGTTGTCAAGCTA GTCTATGGTTATGTTGTCAAGCTAAGGCGACAGA sense ENSMUST00000182755 CD45 95155 714 63.19 CDS 3.422774074 0.556634304 -TTGTCAAGCTAAGGCGACAG TATGTTGTCAAGCTAAGGCGACAGAGGTGTCTGA sense ENSMUST00000182755 CD45 95164 717 63.45 CDS 4.140313563 0.877022654 -AAGGCGACAGAGGTGTCTGA AGCTAAGGCGACAGAGGTGTCTGATGGTGCAAGT sense ENSMUST00000182755 CD45 95174 720 63.72 CDS 4.199740655 0.906148867 -GAGGTGTCTGATGGTGCAAG GACAGAGGTGTCTGATGGTGCAAGTGGAGGTACA sense ENSMUST00000182755 CD45 95183 723 63.98 CDS 4.04470621 0.834951456 -GTGTCTGATGGTGCAAGTGG AGAGGTGTCTGATGGTGCAAGTGGAGGTACAGTC sense ENSMUST00000182755 CD45 95186 724 64.07 CDS 4.170103742 0.893203883 -CCACTAAAGCCTGATGAATC TATTCCACTAAAGCCTGATGAATCAGGATATACT antisense ENSMUST00000182755 CD45 96747 731 64.69 CDS 1.474997724 0.245954693 -ACAGTATATCCTGATTCATC AGGCACAGTATATCCTGATTCATCAGGCTTTAGT sense ENSMUST00000182755 CD45 96749 732 64.78 CDS 2.057721213 0.32038835 -CCTGATTCATCAGGCTTTAG ATATCCTGATTCATCAGGCTTTAGTGGAATACAA sense ENSMUST00000182755 CD45 96758 735 65.04 CDS -0.253835606 0.080906149 -TTAGTGGAATACAATCAGTT GGCTTTAGTGGAATACAATCAGTTTGGAGAAACA sense ENSMUST00000182755 CD45 96774 740 65.49 CDS 3.630726132 0.631067961 -CTCTCTTCTTCATGTTGTGT GGATCTCTCTTCTTCATGTTGTGTAGGCATGAAT antisense ENSMUST00000182755 CD45 96822 756 66.9 CDS 3.779930824 0.686084142 -AGAGGGGAGGGGTCACTGGG CTCCAGAGGGGAGGGGTCACTGGGTGGATCTCTC antisense ENSMUST00000182755 CD45 96847 765 67.7 CDS 2.540305563 0.372168285 -TCCAGAGGGGAGGGGTCACT AGCCTCCAGAGGGGAGGGGTCACTGGGTGGATCT antisense ENSMUST00000182755 CD45 96850 766 67.79 CDS 2.518436211 0.359223301 -CTCCAGAGGGGAGGGGTCAC CAGCCTCCAGAGGGGAGGGGTCACTGGGTGGATC antisense ENSMUST00000182755 CD45 96851 766 67.79 CDS 0.40467152 0.142394822 -ATTCAGCCTCCAGAGGGGAG TGGTATTCAGCCTCCAGAGGGGAGGGGTCACTGG antisense ENSMUST00000182755 CD45 96858 768 67.96 CDS 2.750470722 0.411003236 -TATTCAGCCTCCAGAGGGGA CTGGTATTCAGCCTCCAGAGGGGAGGGGTCACTG antisense ENSMUST00000182755 CD45 96859 769 68.05 CDS 3.598147646 0.601941748 -ACCCAGTGACCCCTCCCCTC ATCCACCCAGTGACCCCTCCCCTCTGGAGGCTGA sense ENSMUST00000182755 CD45 96860 769 68.05 CDS 3.380911482 0.537216828 -GTATTCAGCCTCCAGAGGGG CCTGGTATTCAGCCTCCAGAGGGGAGGGGTCACT antisense ENSMUST00000182755 CD45 96860 769 68.05 CDS 3.57821436 0.598705502 -CAGTGACCCCTCCCCTCTGG CACCCAGTGACCCCTCCCCTCTGGAGGCTGAATA sense ENSMUST00000182755 CD45 96863 770 68.14 CDS 3.408267359 0.550161812 -CTGGTATTCAGCCTCCAGAG CTACCTGGTATTCAGCCTCCAGAGGGGAGGGGTC antisense ENSMUST00000182755 CD45 96863 770 68.14 CDS 3.760885364 0.67961165 -CCTGGTATTCAGCCTCCAGA GCTACCTGGTATTCAGCCTCCAGAGGGGAGGGGT antisense ENSMUST00000182755 CD45 96864 770 68.14 CDS 4.2306512 0.919093851 -ACCTGGTATTCAGCCTCCAG TGCTACCTGGTATTCAGCCTCCAGAGGGGAGGGG antisense ENSMUST00000182755 CD45 96865 771 68.23 CDS 3.989305 0.802588997 -CCCTCTGGAGGCTGAATACC CCTCCCCTCTGGAGGCTGAATACCAGGTAGCAAT sense ENSMUST00000182755 CD45 96875 774 68.5 CDS 2.738493184 0.404530744 -CTTAGAGACTTCCTTCATAC TTTTCTTAGAGACTTCCTTCATACAGGAGTTGGA sense ENSMUST00000182755 CD45 101643 780 69.03 CDS 2.736771735 0.401294498 -GTCCTCCAACTCCTGTATGA CTGTGTCCTCCAACTCCTGTATGAAGGAAGTCTC antisense ENSMUST00000182755 CD45 101643 780 69.03 CDS 3.82270822 0.715210356 -GACTTCCTTCATACAGGAGT TAGAGACTTCCTTCATACAGGAGTTGGAGGACAC sense ENSMUST00000182755 CD45 101649 782 69.2 CDS 3.609577004 0.614886731 -TTCCTTCATACAGGAGTTGG AGACTTCCTTCATACAGGAGTTGGAGGACACAGC sense ENSMUST00000182755 CD45 101652 783 69.29 CDS 3.215931504 0.491909385 -AGTTGGAGGACACAGCACAT CAGGAGTTGGAGGACACAGCACATTGGAAATCAA sense ENSMUST00000182755 CD45 101666 787 69.65 CDS 3.748428686 0.669902913 -AAGAAAATAAGAAGAAGAAC CAAGAAGAAAATAAGAAGAAGAACAGGAATTCTA sense ENSMUST00000182755 CD45 101697 798 70.62 CDS 2.304518684 0.343042071 -ATCTCCAGTTCATGCTTAAG GCTCATCTCCAGTTCATGCTTAAGTGGCACTCTG antisense ENSMUST00000182755 CD45 102958 814 72.04 CDS 3.382045059 0.540453074 -AGTGCCACTTAAGCATGAAC ACAGAGTGCCACTTAAGCATGAACTGGAGATGAG sense ENSMUST00000182755 CD45 102965 816 72.21 CDS 3.145199953 0.478964401 -TCTGAAGACTCATCTGATTC ATCATCTGAAGACTCATCTGATTCAGGCTCACTC antisense ENSMUST00000182755 CD45 102997 827 73.19 CDS 0.239312601 0.122977346 -GGATGCATTAATGTATTTGC CAAAGGATGCATTAATGTATTTGCTGGTTTCTTC antisense ENSMUST00000182755 CD45 103043 842 74.51 CDS 1.918753845 0.30420712 -CATTAATGCATCCTTTGTGA AATACATTAATGCATCCTTTGTGATGGTAGGTAC sense ENSMUST00000182755 CD45 103064 849 75.13 CDS 4.374299206 0.954692557 -GTGGGTACCTACCATCACAA GAGTGTGGGTACCTACCATCACAAAGGATGCATT antisense ENSMUST00000182755 CD45 103064 849 75.13 CDS 4.009658803 0.815533981 -AATGCATCCTTTGTGATGGT CATTAATGCATCCTTTGTGATGGTAGGTACCCAC sense ENSMUST00000182755 CD45 103068 850 75.22 CDS 4.051112613 0.841423948 -TGAGCAGCAATCATCATTTC CCCCTGAGCAGCAATCATCATTTCTGGTTTCCAG antisense ENSMUST00000182755 CD45 104072 857 75.84 CDS -0.444444028 0.064724919 -AGAAATGATGATTGCTGCTC AACCAGAAATGATGATTGCTGCTCAGGGGCCACT sense ENSMUST00000182755 CD45 104085 861 76.19 CDS 2.683116535 0.391585761 -GAAATGATGATTGCTGCTCA ACCAGAAATGATGATTGCTGCTCAGGGGCCACTA sense ENSMUST00000182755 CD45 104086 861 76.19 CDS 2.735357174 0.398058252 -AAATGATGATTGCTGCTCAG CCAGAAATGATGATTGCTGCTCAGGGGCCACTAA sense ENSMUST00000182755 CD45 104087 862 76.28 CDS 4.332417881 0.938511327 -GGGCCACTAAAAGAAACGAT TCAGGGGCCACTAAAAGAAACGATCGGTGACTTT sense ENSMUST00000182755 CD45 104107 868 76.81 CDS 4.477524551 0.970873786 -AAGAAACGATCGGTGACTTT CTAAAAGAAACGATCGGTGACTTTTGGCAGATGA sense ENSMUST00000182755 CD45 104117 872 77.17 CDS 2.623588898 0.381877023 -ATGTTGACAGAGTTAGTGAA TGTGATGTTGACAGAGTTAGTGAATGGAGACCAG sense ENSMUST00000182755 CD45 104176 891 78.85 CDS 3.970208598 0.796116505 -AGAGTTAGTGAATGGAGACC TGACAGAGTTAGTGAATGGAGACCAGGTTTGTGC sense ENSMUST00000182755 CD45 104184 894 79.12 CDS 3.834706642 0.721682848 -AGGAAGTCTGTGCTCAGTAC ATCTAGGAAGTCTGTGCTCAGTACTGGGGCGAAG sense ENSMUST00000182755 CD45 106906 901 79.73 CDS 3.325992658 0.521035599 -GGAAGTCTGTGCTCAGTACT TCTAGGAAGTCTGTGCTCAGTACTGGGGCGAAGG sense ENSMUST00000182755 CD45 106907 901 79.73 CDS 2.905565296 0.430420712 -GAAGTCTGTGCTCAGTACTG CTAGGAAGTCTGTGCTCAGTACTGGGGCGAAGGA sense ENSMUST00000182755 CD45 106908 901 79.73 CDS 3.947153786 0.786407767 -TGTGCTCAGTACTGGGGCGA AGTCTGTGCTCAGTACTGGGGCGAAGGAAAGCAG sense ENSMUST00000182755 CD45 106914 903 79.91 CDS 3.754087773 0.676375405 -GGCGAAGGAAAGCAGACTTA CTGGGGCGAAGGAAAGCAGACTTATGGAGACATG sense ENSMUST00000182755 CD45 106929 908 80.35 CDS 3.80385781 0.702265372 -AAAGCAGACTTATGGAGACA AAGGAAAGCAGACTTATGGAGACATGGAAGTGGA sense ENSMUST00000182755 CD45 106937 911 80.62 CDS 3.887350029 0.754045307 -GACTTATGGAGACATGGAAG AGCAGACTTATGGAGACATGGAAGTGGAGATGAA sense ENSMUST00000182755 CD45 106943 913 80.8 CDS 3.80156949 0.699029126 -AGTTCGGAGAGTGTAGGCTG CAAAAGTTCGGAGAGTGTAGGCTGAGGCTCTGTT antisense ENSMUST00000182755 CD45 106976 924 81.77 CDS 3.661221664 0.647249191 -CTCAAAAGTTCGGAGAGTGT TCAGCTCAAAAGTTCGGAGAGTGTAGGCTGAGGC antisense ENSMUST00000182755 CD45 106982 926 81.95 CDS 3.866293363 0.741100324 -AATGTCTCAGCTCAAAAGTT TTGGAATGTCTCAGCTCAAAAGTTCGGAGAGTGT antisense ENSMUST00000182755 CD45 106992 929 82.21 CDS 4.315906258 0.935275081 -GAGCTGAGACATTCCAAGGT TTTTGAGCTGAGACATTCCAAGGTAGGTAAACAC sense ENSMUST00000182755 CD45 107013 936 82.83 CDS 3.751789675 0.673139159 -TCACCTCGGATTGCAGAGGA CACTTCACCTCGGATTGCAGAGGAAGGAGCCCAG sense ENSMUST00000182755 CD45 107265 937 82.92 CDS 3.953562509 0.789644013 -TGGTACTGGTACACAGTTCT ACACTGGTACTGGTACACAGTTCTGGGCTCCTTC antisense ENSMUST00000182755 CD45 107279 942 83.36 CDS 2.709898918 0.394822006 -CTGGTACTGGTACACAGTTC TACACTGGTACTGGTACACAGTTCTGGGCTCCTT antisense ENSMUST00000182755 CD45 107280 942 83.36 CDS 1.865214958 0.297734628 -TCCATGTGGTACACTGGTAC CCTTTCCATGTGGTACACTGGTACTGGTACACAG antisense ENSMUST00000182755 CD45 107293 946 83.72 CDS 4.146007738 0.8802589 -CCCCTTTCCATGTGGTACAC TCTTCCCCTTTCCATGTGGTACACTGGTACTGGT antisense ENSMUST00000182755 CD45 107299 948 83.89 CDS 2.837896481 0.417475728 -ACCAGTACCAGTGTACCACA GTGTACCAGTACCAGTGTACCACATGGAAAGGGG sense ENSMUST00000182755 CD45 107303 950 84.07 CDS 3.712193415 0.660194175 -CAGCTCTTCCCCTTTCCATG CAGGCAGCTCTTCCCCTTTCCATGTGGTACACTG antisense ENSMUST00000182755 CD45 107307 951 84.16 CDS 4.216892358 0.912621359 -TACCAGTGTACCACATGGAA CCAGTACCAGTGTACCACATGGAAAGGGGAAGAG sense ENSMUST00000182755 CD45 107308 951 84.16 CDS 1.502752093 0.249190939 -ACCAGTGTACCACATGGAAA CAGTACCAGTGTACCACATGGAAAGGGGAAGAGC sense ENSMUST00000182755 CD45 107309 952 84.25 CDS 3.620445492 0.627831715 -CCAGTGTACCACATGGAAAG AGTACCAGTGTACCACATGGAAAGGGGAAGAGCT sense ENSMUST00000182755 CD45 107310 952 84.25 CDS 4.087187967 0.854368932 -ACCAGGTCTTTGGGTTCTGC AGACACCAGGTCTTTGGGTTCTGCAGGCAGCTCT antisense ENSMUST00000182755 CD45 107330 959 84.87 CDS 3.231290594 0.495145631 -ATCATAGACACCAGGTCTTT CTGAATCATAGACACCAGGTCTTTGGGTTCTGCA antisense ENSMUST00000182755 CD45 107339 962 85.13 CDS 1.075225372 0.190938511 -GCCTGCAGAACCCAAAGACC AGCTGCCTGCAGAACCCAAAGACCTGGTGTCTAT sense ENSMUST00000182755 CD45 107340 962 85.13 CDS 3.965541425 0.792880259 -AATCATAGACACCAGGTCTT CCTGAATCATAGACACCAGGTCTTTGGGTTCTGC antisense ENSMUST00000182755 CD45 107340 962 85.13 CDS 0.765363583 0.158576052 -GGTCCTGAATCATAGACACC TTGAGGTCCTGAATCATAGACACCAGGTCTTTGG antisense ENSMUST00000182755 CD45 107347 964 85.31 CDS 3.828952419 0.718446602 -AGACCTGGTGTCTATGATTC CCAAAGACCTGGTGTCTATGATTCAGGACCTCAA sense ENSMUST00000182755 CD45 107355 967 85.58 CDS 1.667769693 0.268608414 -CCTTGGGAAGCTTCTGTTTG GAAGCCTTGGGAAGCTTCTGTTTGAGGTCCTGAA antisense ENSMUST00000182755 CD45 107368 971 85.93 CDS 1.224651983 0.203883495 -CCTCAAACAGAAGCTTCCCA AGGACCTCAAACAGAAGCTTCCCAAGGCTTCCCC sense ENSMUST00000182755 CD45 107379 975 86.28 CDS 3.724351495 0.666666667 -ATCCCTTCTGGGGAAGCCTT CTTCATCCCTTCTGGGGAAGCCTTGGGAAGCTTC antisense ENSMUST00000182755 CD45 107384 977 86.46 CDS -3.624876203 0.009708738 -CATCCCTTCTGGGGAAGCCT ACTTCATCCCTTCTGGGGAAGCCTTGGGAAGCTT antisense ENSMUST00000182755 CD45 107385 977 86.46 CDS -5.604977219 0.003236246 -CTTCCCAAGGCTTCCCCAGA GAAGCTTCCCAAGGCTTCCCCAGAAGGGATGAAG sense ENSMUST00000182755 CD45 107392 979 86.64 CDS 3.354476959 0.530744337 -TTCCCAAGGCTTCCCCAGAA AAGCTTCCCAAGGCTTCCCCAGAAGGGATGAAGT sense ENSMUST00000182755 CD45 107393 980 86.73 CDS 3.562671095 0.585760518 -GTGATACTTCATCCCTTCTG GCTTGTGATACTTCATCCCTTCTGGGGAAGCCTT antisense ENSMUST00000182755 CD45 107394 980 86.73 CDS 3.247185441 0.498381877 -TGTGATACTTCATCCCTTCT TGCTTGTGATACTTCATCCCTTCTGGGGAAGCCT antisense ENSMUST00000182755 CD45 107395 980 86.73 CDS 1.008388149 0.181229773 -TTGTGATACTTCATCCCTTC ATGCTTGTGATACTTCATCCCTTCTGGGGAAGCC antisense ENSMUST00000182755 CD45 107396 981 86.81 CDS 0.336206133 0.13592233 -TAACCTGCAGTGGACGAGGA TTCCTAACCTGCAGTGGACGAGGATGGATGCATG antisense ENSMUST00000182755 CD45 107427 991 87.7 CDS 4.392559375 0.961165049 -TTCCTAACCTGCAGTGGACG CAGCTTCCTAACCTGCAGTGGACGAGGATGGATG antisense ENSMUST00000182755 CD45 107431 992 87.79 CDS 3.483830441 0.55987055 -CATCCATCCTCGTCCACTGC CATGCATCCATCCTCGTCCACTGCAGGTTAGGAA sense ENSMUST00000182755 CD45 107435 994 87.96 CDS 3.65693375 0.640776699 -ATCAGCTTCCTAACCTGCAG CCCCATCAGCTTCCTAACCTGCAGTGGACGAGGA antisense ENSMUST00000182755 CD45 107437 994 87.96 CDS 3.320398574 0.517799353 -ACAGAACAACCCTGTCTGCT AGGCACAGAACAACCCTGTCTGCTGGGATCCATC antisense ENSMUST00000182755 CD45 109116 1000 88.5 CDS 3.600065708 0.605177994 -AGAGATGGATCCCAGCAGAC TGACAGAGATGGATCCCAGCAGACAGGGTTGTTC sense ENSMUST00000182755 CD45 109117 1000 88.5 CDS 3.905653464 0.763754045 -CACAGAACAACCCTGTCTGC AAGGCACAGAACAACCCTGTCTGCTGGGATCCAT antisense ENSMUST00000182755 CD45 109117 1000 88.5 CDS 2.981899917 0.443365696 -GAGATGGATCCCAGCAGACA GACAGAGATGGATCCCAGCAGACAGGGTTGTTCT sense ENSMUST00000182755 CD45 109118 1001 88.58 CDS 4.490789663 0.977346278 -ACTTTCCAAGAGATTGAACA CTGCACTTTCCAAGAGATTGAACAAGGCACAGAA antisense ENSMUST00000182755 CD45 109140 1008 89.2 CDS 4.291215347 0.932038835 -CTGTGCCTTGTTCAATCTCT TGTTCTGTGCCTTGTTCAATCTCTTGGAAAGTGC sense ENSMUST00000182755 CD45 109146 1010 89.38 CDS 0.013647731 0.110032362 -AAGTGCAGAAACAGAAGATG TGGAAAGTGCAGAAACAGAAGATGTGGTTGATGT sense ENSMUST00000182755 CD45 109170 1018 90.09 CDS 3.929258497 0.776699029 -TGCGTAGAGACTTTACCACT GCTTTGCGTAGAGACTTTACCACTTGGAAAACAT antisense ENSMUST00000182755 CD45 109192 1025 90.71 CDS 4.054314797 0.844660194 -TAAAGTCTCTACGCAAAGCA GTGGTAAAGTCTCTACGCAAAGCACGGCCTGGGG sense ENSMUST00000182755 CD45 109211 1032 91.33 CDS 2.974574443 0.44012945 -TCTCTACGCAAAGCACGGCC AAAGTCTCTACGCAAAGCACGGCCTGGGGTGGTG sense ENSMUST00000182755 CD45 109216 1033 91.42 CDS 3.258535009 0.501618123 -CTCTACGCAAAGCACGGCCT AAGTCTCTACGCAAAGCACGGCCTGGGGTGGTGT sense ENSMUST00000182755 CD45 109217 1034 91.5 CDS 0.335795982 0.132686084 -TCTACGCAAAGCACGGCCTG AGTCTCTACGCAAAGCACGGCCTGGGGTGGTGTG sense ENSMUST00000182755 CD45 109218 1034 91.5 CDS 3.83996455 0.72815534 -ACGCAAAGCACGGCCTGGGG CTCTACGCAAAGCACGGCCTGGGGTGGTGTGCAG sense ENSMUST00000182755 CD45 109221 1035 91.59 CDS 3.572786298 0.59223301 -ACATAGCTGCACACCACCCC ACTTACATAGCTGCACACCACCCCAGGCCGTGCT antisense ENSMUST00000182755 CD45 109223 1036 91.68 CDS 4.147489925 0.883495146 -AGAGGAACTGGTATTGCTCC TCATAGAGGAACTGGTATTGCTCCTGGTGAAAGA antisense ENSMUST00000182755 CD45 110549 1041 92.12 CDS 3.858218328 0.737864078 -CGATGATGTCATAGAGGAAC CTGGCGATGATGTCATAGAGGAACTGGTATTGCT antisense ENSMUST00000182755 CD45 110561 1045 92.48 CDS 3.523873444 0.57605178 -TGCTGGCGATGATGTCATAG TAGATGCTGGCGATGATGTCATAGAGGAACTGGT antisense ENSMUST00000182755 CD45 110567 1047 92.65 CDS 3.882828225 0.750809061 -ATTCTGGGCGGGATAGATGC GTCCATTCTGGGCGGGATAGATGCTGGCGATGAT antisense ENSMUST00000182755 CD45 110584 1053 93.19 CDS 1.854933786 0.291262136 -TTGACTTGTCCATTCTGGGC TTTCTTGACTTGTCCATTCTGGGCGGGATAGATG antisense ENSMUST00000182755 CD45 110595 1057 93.54 CDS 2.215455791 0.330097087 -CTTGACTTGTCCATTCTGGG TTTTCTTGACTTGTCCATTCTGGGCGGGATAGAT antisense ENSMUST00000182755 CD45 110596 1057 93.54 CDS 1.38441097 0.223300971 -AGCATCTATCCCGCCCAGAA CGCCAGCATCTATCCCGCCCAGAATGGACAAGTC sense ENSMUST00000182755 CD45 110597 1057 93.54 CDS 1.372738559 0.220064725 -TTTCTTGACTTGTCCATTCT TTGTTTTCTTGACTTGTCCATTCTGGGCGGGATA antisense ENSMUST00000182755 CD45 110599 1058 93.63 CDS -1.407107367 0.03236246 -AATTGAATTTCATAATGAAG ACAAAATTGAATTTCATAATGAAGTGGATGGAGG sense ENSMUST00000182755 CD45 110650 1075 95.13 CDS -0.164968211 0.087378641 -GAATTTCATAATGAAGTGGA AATTGAATTTCATAATGAAGTGGATGGAGGCAAG sense ENSMUST00000182755 CD45 110654 1076 95.22 CDS -0.441263342 0.067961165 -TTTCATAATGAAGTGGATGG TGAATTTCATAATGAAGTGGATGGAGGCAAGCAG sense ENSMUST00000182755 CD45 110657 1077 95.31 CDS -0.742917034 0.048543689 -TGAAGTGGATGGAGGCAAGC ATAATGAAGTGGATGGAGGCAAGCAGGATGCTAA sense ENSMUST00000182755 CD45 110665 1080 95.58 CDS -0.102655438 0.097087379 -GCTAACTGTGTCCGTCCAGA GGATGCTAACTGTGTCCGTCCAGATGGTCCTCTG sense ENSMUST00000182755 CD45 110690 1088 96.28 CDS -2.351537113 0.022653722 -TATTCAGAGGACCATCTGGA GCTTTATTCAGAGGACCATCTGGACGGACACAGT antisense ENSMUST00000182755 CD45 110690 1088 96.28 CDS 0.781023921 0.165048544 -GCTTTATTCAGAGGACCATC CTGGGCTTTATTCAGAGGACCATCTGGACGGACA antisense ENSMUST00000182755 CD45 110694 1090 96.46 CDS -0.067682293 0.100323625 -TCTTCCTGGGCTTTATTCAG GCTGTCTTCCTGGGCTTTATTCAGAGGACCATCT antisense ENSMUST00000182755 CD45 110703 1093 96.73 CDS 1.401843299 0.226537217 -TGGTCCTCTGAATAAAGCCC CAGATGGTCCTCTGAATAAAGCCCAGGAAGACAG sense ENSMUST00000182755 CD45 110710 1095 96.9 CDS 0.913422844 0.174757282 -CACCCCTCTGCTGTCTTCCT TTCCCACCCCTCTGCTGTCTTCCTGGGCTTTATT antisense ENSMUST00000182755 CD45 110716 1097 97.08 CDS 0.006861443 0.106796117 -CCACCCCTCTGCTGTCTTCC GTTCCCACCCCTCTGCTGTCTTCCTGGGCTTTAT antisense ENSMUST00000182755 CD45 110717 1097 97.08 CDS 0.736191444 0.148867314 -AAAGCCCAGGAAGACAGCAG GAATAAAGCCCAGGAAGACAGCAGAGGGGTGGGA sense ENSMUST00000182755 CD45 110723 1099 97.26 CDS 0.756295905 0.15210356 -AAGCCCAGGAAGACAGCAGA AATAAAGCCCAGGAAGACAGCAGAGGGGTGGGAA sense ENSMUST00000182755 CD45 110724 1100 97.35 CDS 0.8005279 0.16828479 -AGCCCAGGAAGACAGCAGAG ATAAAGCCCAGGAAGACAGCAGAGGGGTGGGAAC sense ENSMUST00000182755 CD45 110725 1100 97.35 CDS -0.139528917 0.090614887 -CCAGGAAGACAGCAGAGGGG AAGCCCAGGAAGACAGCAGAGGGGTGGGAACCCC sense ENSMUST00000182755 CD45 110728 1101 97.43 CDS -0.279747083 0.077669903 -CAGGAAGACAGCAGAGGGGT AGCCCAGGAAGACAGCAGAGGGGTGGGAACCCCG sense ENSMUST00000182755 CD45 110729 1101 97.43 CDS 1.653188551 0.265372168 -CAGCAGAGGGGTGGGAACCC AAGACAGCAGAGGGGTGGGAACCCCGGAGCCTAC sense ENSMUST00000182755 CD45 110737 1104 97.7 CDS 0.756984213 0.155339806 -AGCACTATTGGTAGGCTCCG CCTCAGCACTATTGGTAGGCTCCGGGGTTCCCAC antisense ENSMUST00000182755 CD45 110743 1106 97.88 CDS 0.062772082 0.113268608 -CAGCACTATTGGTAGGCTCC TCCTCAGCACTATTGGTAGGCTCCGGGGTTCCCA antisense ENSMUST00000182755 CD45 110744 1106 97.88 CDS 0.359403805 0.139158576 -TCAGCACTATTGGTAGGCTC TTCCTCAGCACTATTGGTAGGCTCCGGGGTTCCC antisense ENSMUST00000182755 CD45 110745 1107 97.96 CDS 0.1707857 0.1197411 -GGTTCCTCAGCACTATTGGT TTCTGGTTCCTCAGCACTATTGGTAGGCTCCGGG antisense ENSMUST00000182755 CD45 110751 1109 98.14 CDS 1.723555101 0.278317152 -TTCTGGTTCCTCAGCACTAT CATGTTCTGGTTCCTCAGCACTATTGGTAGGCTC antisense ENSMUST00000182755 CD45 110755 1110 98.23 CDS -0.00721382 0.103559871 -GGAGCCTACCAATAGTGCTG CCCCGGAGCCTACCAATAGTGCTGAGGAACCAGA sense ENSMUST00000182755 CD45 110758 1111 98.32 CDS 1.894671783 0.300970874 -GAACCATTGGCAGCATGTTC CGCAGAACCATTGGCAGCATGTTCTGGTTCCTCA antisense ENSMUST00000182755 CD45 110772 1116 98.76 CDS 1.412100075 0.233009709 -GAACCAGAACATGCTGCCAA TGAGGAACCAGAACATGCTGCCAATGGTTCTGCG sense ENSMUST00000182755 CD45 110780 1118 98.94 CDS 0.912272865 0.171521036 -AGCTGGGCTCGCAGAACCAT TTGGAGCTGGGCTCGCAGAACCATTGGCAGCATG antisense ENSMUST00000182755 CD45 110785 1120 99.12 CDS 1.713383695 0.27184466 -ATGAACTCTGGGTTGGAGCT TCCTATGAACTCTGGGTTGGAGCTGGGCTCGCAG antisense ENSMUST00000182755 CD45 110801 1125 99.56 CDS 2.639863178 0.385113269 -TATGAACTCTGGGTTGGAGC TTCCTATGAACTCTGGGTTGGAGCTGGGCTCGCA antisense ENSMUST00000182755 CD45 110802 1126 99.65 CDS 1.80742375 0.28802589 -CTTTCCTATGAACTCTGGGT ACTCCTTTCCTATGAACTCTGGGTTGGAGCTGGG antisense ENSMUST00000182755 CD45 110808 1128 99.82 CDS 2.295053495 0.339805825 -ACTCCTTTCCTATGAACTCT CATGACTCCTTTCCTATGAACTCTGGGTTGGAGC antisense ENSMUST00000182755 CD45 110812 1129 99.91 CDS 2.210449785 0.326860841 -GACTCCTTTCCTATGAACTC ACATGACTCCTTTCCTATGAACTCTGGGTTGGAG antisense ENSMUST00000182755 CD45 110813 1129 99.91 CDS 1.593542544 0.262135922 -AGCTCCAACCCAGAGTTCAT GCCCAGCTCCAACCCAGAGTTCATAGGAAAGGAG sense ENSMUST00000182755 CD45 110815 1130 100 CDS 1.45816201 0.242718447 -AACAGCAGGAGCAGCGTGCA CGCCAACAGCAGGAGCAGCGTGCACGGTACCATC antisense ENSMUST00000025181 H2-K 114 5 1.36 CDS 4.473428245 0.793650794 -GTGCACGCTGCTCCTGCTGT TACCGTGCACGCTGCTCCTGCTGTTGGCGGCCGC sense ENSMUST00000025181 H2-K 127 9 2.44 CDS 4.352123209 0.708994709 -CCAGGGCGGCCGCCAACAGC GGAGCCAGGGCGGCCGCCAACAGCAGGAGCAGCG antisense ENSMUST00000025181 H2-K 128 9 2.44 CDS 4.267448575 0.656084656 -CACGCTGCTCCTGCTGTTGG CGTGCACGCTGCTCCTGCTGTTGGCGGCCGCCCT sense ENSMUST00000025181 H2-K 130 10 2.71 CDS 4.193966478 0.613756614 -CCTGCTGTTGGCGGCCGCCC TGCTCCTGCTGTTGGCGGCCGCCCTGGCTCCGAC sense ENSMUST00000025181 H2-K 139 13 3.52 CDS 3.763472297 0.439153439 -GGTCTGAGTCGGAGCCAGGG CGCGGGTCTGAGTCGGAGCCAGGGCGGCCGCCAA antisense ENSMUST00000025181 H2-K 142 14 3.79 CDS 4.726655755 0.925925926 -CGCGGGTCTGAGTCGGAGCC CCCGCGCGGGTCTGAGTCGGAGCCAGGGCGGCCG antisense ENSMUST00000025181 H2-K 146 15 4.07 CDS 2.123663252 0.264550265 -TCACCCGCGCGGGTCTGAGT GTACTCACCCGCGCGGGTCTGAGTCGGAGCCAGG antisense ENSMUST00000025181 H2-K 153 18 4.88 CDS 4.021965388 0.534391534 -GGCTCCGACTCAGACCCGCG CCCTGGCTCCGACTCAGACCCGCGCGGGTGAGTA sense ENSMUST00000025181 H2-K 160 20 5.42 CDS 5.049774286 0.984126984 -GCTCCGACTCAGACCCGCGC CCTGGCTCCGACTCAGACCCGCGCGGGTGAGTAC sense ENSMUST00000025181 H2-K 161 20 5.42 CDS 4.506809206 0.80952381 -GGCCCGGTACTCACCCGCGC TCCCGGCCCGGTACTCACCCGCGCGGGTCTGAGT antisense ENSMUST00000025181 H2-K 163 21 5.69 CDS 4.408766208 0.751322751 -CGGCCCGGTACTCACCCGCG CTCCCGGCCCGGTACTCACCCGCGCGGGTCTGAG antisense ENSMUST00000025181 H2-K 164 21 5.69 CDS 4.877164702 0.957671958 -CCTCAGCGAGTGTGGGCCTG AATACCTCAGCGAGTGTGGGCCTGGGGGCGGCGC antisense ENSMUST00000025181 H2-K 356 22 5.96 I/CDS 4.346720321 0.698412698 -ACCTCAGCGAGTGTGGGCCT AAATACCTCAGCGAGTGTGGGCCTGGGGGCGGCG antisense ENSMUST00000025181 H2-K 357 22 5.96 CDS 0.199890851 0.095238095 -TACCTCAGCGAGTGTGGGCC GAAATACCTCAGCGAGTGTGGGCCTGGGGGCGGC antisense ENSMUST00000025181 H2-K 358 23 6.23 CDS 0.943126385 0.142857143 -CGAAATACCTCAGCGAGTGT GTGACGAAATACCTCAGCGAGTGTGGGCCTGGGG antisense ENSMUST00000025181 H2-K 363 24 6.5 CDS 4.582130193 0.851851852 -ACGAAATACCTCAGCGAGTG GGTGACGAAATACCTCAGCGAGTGTGGGCCTGGG antisense ENSMUST00000025181 H2-K 364 25 6.78 CDS 3.624038267 0.407407407 -CCCCAGGCCCACACTCGCTG CCGCCCCCAGGCCCACACTCGCTGAGGTATTTCG sense ENSMUST00000025181 H2-K 367 26 7.05 CDS 4.029709769 0.53968254 -ATTTCGTCACCGCCGTGTCC AGGTATTTCGTCACCGCCGTGTCCCGGCCCGGCC sense ENSMUST00000025181 H2-K 391 34 9.21 CDS 3.873919499 0.481481481 -CCCGAGGCCGGGCCGGGACA GCTCCCCGAGGCCGGGCCGGGACACGGCGGTGAC antisense ENSMUST00000025181 H2-K 392 34 9.21 CDS 3.847947529 0.470899471 -GTCACCGCCGTGTCCCGGCC TTTCGTCACCGCCGTGTCCCGGCCCGGCCTCGGG sense ENSMUST00000025181 H2-K 396 35 9.49 CDS 4.049872913 0.544973545 -GGGCTCCCCGAGGCCGGGCC ACCGGGGCTCCCCGAGGCCGGGCCGGGACACGGC antisense ENSMUST00000025181 H2-K 398 36 9.76 CDS 0.165517806 0.08994709 -GCCGTGTCCCGGCCCGGCCT CACCGCCGTGTCCCGGCCCGGCCTCGGGGAGCCC sense ENSMUST00000025181 H2-K 402 37 10.03 CDS -4.413582659 0.005291005 -CCGTGTCCCGGCCCGGCCTC ACCGCCGTGTCCCGGCCCGGCCTCGGGGAGCCCC sense ENSMUST00000025181 H2-K 403 38 10.3 CDS 0.349618092 0.116402116 -TACCGGGGCTCCCCGAGGCC CATGTACCGGGGCTCCCCGAGGCCGGGCCGGGAC antisense ENSMUST00000025181 H2-K 403 38 10.3 CDS 1.169334629 0.169312169 -CGTGTCCCGGCCCGGCCTCG CCGCCGTGTCCCGGCCCGGCCTCGGGGAGCCCCG sense ENSMUST00000025181 H2-K 404 38 10.3 CDS 4.120528597 0.560846561 -GTACCGGGGCTCCCCGAGGC CCATGTACCGGGGCTCCCCGAGGCCGGGCCGGGA antisense ENSMUST00000025181 H2-K 404 38 10.3 CDS 3.793412422 0.444444444 -CCATGTACCGGGGCTCCCCG ACTTCCATGTACCGGGGCTCCCCGAGGCCGGGCC antisense ENSMUST00000025181 H2-K 408 39 10.57 CDS 4.605951247 0.867724868 -TAGCCGACTTCCATGTACCG CACGTAGCCGACTTCCATGTACCGGGGCTCCCCG antisense ENSMUST00000025181 H2-K 418 43 11.65 CDS 4.809605382 0.947089947 -CCTCGGGGAGCCCCGGTACA CCGGCCTCGGGGAGCCCCGGTACATGGAAGTCGG sense ENSMUST00000025181 H2-K 419 43 11.65 CDS 4.18726908 0.608465608 -GTAGCCGACTTCCATGTACC CCACGTAGCCGACTTCCATGTACCGGGGCTCCCC antisense ENSMUST00000025181 H2-K 419 43 11.65 CDS 4.695343543 0.904761905 -CGTAGCCGACTTCCATGTAC TCCACGTAGCCGACTTCCATGTACCGGGGCTCCC antisense ENSMUST00000025181 H2-K 420 43 11.65 CDS 4.554801993 0.835978836 -GAGCCCCGGTACATGGAAGT CGGGGAGCCCCGGTACATGGAAGTCGGCTACGTG sense ENSMUST00000025181 H2-K 426 45 12.2 CDS 4.505229576 0.804232804 -GTACATGGAAGTCGGCTACG CCCGGTACATGGAAGTCGGCTACGTGGACGACAC sense ENSMUST00000025181 H2-K 434 48 13.01 CDS 4.773641108 0.941798942 -AGTCGGCTACGTGGACGACA TGGAAGTCGGCTACGTGGACGACACGGAGTTCGT sense ENSMUST00000025181 H2-K 443 51 13.82 CDS 4.410804859 0.756613757 -CGTGCGCTTCGACAGCGACG AGTTCGTGCGCTTCGACAGCGACGCGGAGAATCC sense ENSMUST00000025181 H2-K 470 60 16.26 CDS 3.576475641 0.386243386 -CGCGCCCGCGGCTCATATCT CCACCGCGCCCGCGGCTCATATCTCGGATTCTCC antisense ENSMUST00000025181 H2-K 487 66 17.89 CDS 3.506233855 0.380952381 -AGAATCCGAGATATGAGCCG GCGGAGAATCCGAGATATGAGCCGCGGGCGCGGT sense ENSMUST00000025181 H2-K 493 68 18.43 CDS 4.637769672 0.888888889 -GAATCCGAGATATGAGCCGC CGGAGAATCCGAGATATGAGCCGCGGGCGCGGTG sense ENSMUST00000025181 H2-K 494 68 18.43 CDS 4.298978468 0.677248677 -CGAGATATGAGCCGCGGGCG AATCCGAGATATGAGCCGCGGGCGCGGTGGATGG sense ENSMUST00000025181 H2-K 499 70 18.97 CDS 4.128552782 0.571428571 -TGCTCCATCCACCGCGCCCG CTCCTGCTCCATCCACCGCGCCCGCGGCTCATAT antisense ENSMUST00000025181 H2-K 499 70 18.97 CDS 4.440475816 0.761904762 -GATATGAGCCGCGGGCGCGG CCGAGATATGAGCCGCGGGCGCGGTGGATGGAGC sense ENSMUST00000025181 H2-K 502 71 19.24 CDS 5.194031383 1 -TGAGCCGCGGGCGCGGTGGA GATATGAGCCGCGGGCGCGGTGGATGGAGCAGGA sense ENSMUST00000025181 H2-K 506 72 19.51 CDS 4.4430579 0.767195767 -GCGCGGTGGATGGAGCAGGA GCGGGCGCGGTGGATGGAGCAGGAGGGGCCCGAG sense ENSMUST00000025181 H2-K 516 75 20.33 CDS 4.920705798 0.973544974 -CGCGGTGGATGGAGCAGGAG CGGGCGCGGTGGATGGAGCAGGAGGGGCCCGAGT sense ENSMUST00000025181 H2-K 517 76 20.6 CDS 3.982254888 0.523809524 -AGCAGGAGGGGCCCGAGTAT ATGGAGCAGGAGGGGCCCGAGTATTGGGAGCGGG sense ENSMUST00000025181 H2-K 529 80 21.68 CDS 4.530911257 0.814814815 -GCAGGAGGGGCCCGAGTATT TGGAGCAGGAGGGGCCCGAGTATTGGGAGCGGGA sense ENSMUST00000025181 H2-K 530 80 21.68 CDS 2.615513059 0.312169312 -TGTCTCCCGCTCCCAATACT TCTGTGTCTCCCGCTCCCAATACTCGGGCCCCTC antisense ENSMUST00000025181 H2-K 530 80 21.68 CDS 4.553520582 0.830687831 -AGGGGCCCGAGTATTGGGAG CAGGAGGGGCCCGAGTATTGGGAGCGGGAGACAC sense ENSMUST00000025181 H2-K 535 82 22.22 CDS 4.663867467 0.894179894 -CGGGAGACACAGAAAGCCAA GGAGCGGGAGACACAGAAAGCCAAGGGCAATGAG sense ENSMUST00000025181 H2-K 555 88 23.85 CDS 4.139209355 0.576719577 -GAAACTCTGCTCATTGCCCT CTCGGAAACTCTGCTCATTGCCCTTGGCTTTCTG antisense ENSMUST00000025181 H2-K 560 90 24.39 CDS 4.75848532 0.936507937 -CAATGAGCAGAGTTTCCGAG AGGGCAATGAGCAGAGTTTCCGAGTGGACCTGAG sense ENSMUST00000025181 H2-K 578 96 26.02 CDS 4.955978265 0.978835979 -GCAGGGTCCTCAGGTCCACT CCGAGCAGGGTCCTCAGGTCCACTCGGAAACTCT antisense ENSMUST00000025181 H2-K 582 97 26.29 CDS 4.589465449 0.857142857 -AGAGTTTCCGAGTGGACCTG GAGCAGAGTTTCCGAGTGGACCTGAGGACCCTGC sense ENSMUST00000025181 H2-K 586 99 26.83 CDS 4.398104103 0.735449735 -AGTAGCCGAGCAGGGTCCTC TTGTAGTAGCCGAGCAGGGTCCTCAGGTCCACTC antisense ENSMUST00000025181 H2-K 591 100 27.1 CDS 3.754887297 0.433862434 -GTGGACCTGAGGACCCTGCT CCGAGTGGACCTGAGGACCCTGCTCGGCTACTAC sense ENSMUST00000025181 H2-K 597 102 27.64 CDS 4.445930579 0.783068783 -CTGGTTGTAGTAGCCGAGCA TGCTCTGGTTGTAGTAGCCGAGCAGGGTCCTCAG antisense ENSMUST00000025181 H2-K 599 103 27.91 CDS 4.672574311 0.899470899 -TCTGGTTGTAGTAGCCGAGC TTGCTCTGGTTGTAGTAGCCGAGCAGGGTCCTCA antisense ENSMUST00000025181 H2-K 600 103 27.91 CDS 4.145835118 0.592592593 -CGGCTACTACAACCAGAGCA TGCTCGGCTACTACAACCAGAGCAAGGGCGGTGA sense ENSMUST00000025181 H2-K 617 109 29.54 CDS 4.444688362 0.777777778 -GGCTACTACAACCAGAGCAA GCTCGGCTACTACAACCAGAGCAAGGGCGGTGAG sense ENSMUST00000025181 H2-K 618 109 29.54 CDS 2.445529441 0.285714286 -CTGAATAGTGTGAGAGCCTG TCACCTGAATAGTGTGAGAGCCTGCGGGACCCCG antisense ENSMUST00000025181 H2-K 813 112 30.35 I/CDS 4.465489451 0.788359788 -CGCAGGCTCTCACACTATTC GTCCCGCAGGCTCTCACACTATTCAGGTGATCTC sense ENSMUST00000025181 H2-K 825 116 31.44 CDS 1.074041068 0.158730159 -CACACTATTCAGGTGATCTC CTCTCACACTATTCAGGTGATCTCTGGCTGTGAA sense ENSMUST00000025181 H2-K 835 119 32.25 CDS 3.879190267 0.486772487 -GGTGATCTCTGGCTGTGAAG TTCAGGTGATCTCTGGCTGTGAAGTGGGGTCCGA sense ENSMUST00000025181 H2-K 846 123 33.33 CDS 4.385676556 0.724867725 -GTGATCTCTGGCTGTGAAGT TCAGGTGATCTCTGGCTGTGAAGTGGGGTCCGAC sense ENSMUST00000025181 H2-K 847 123 33.33 CDS 4.406799756 0.746031746 -TGATCTCTGGCTGTGAAGTG CAGGTGATCTCTGGCTGTGAAGTGGGGTCCGACG sense ENSMUST00000025181 H2-K 848 124 33.6 CDS 3.797253405 0.455026455 -GGCTGTGAAGTGGGGTCCGA CTCTGGCTGTGAAGTGGGGTCCGACGGGCGACTC sense ENSMUST00000025181 H2-K 856 126 34.15 CDS 3.611076435 0.402116402 -GCTGTGAAGTGGGGTCCGAC TCTGGCTGTGAAGTGGGGTCCGACGGGCGACTCC sense ENSMUST00000025181 H2-K 857 127 34.42 CDS 4.636154949 0.883597884 -CCCGCGGAGGAGTCGCCCGT GGTACCCGCGGAGGAGTCGCCCGTCGGACCCCAC antisense ENSMUST00000025181 H2-K 861 128 34.69 CDS 4.347935943 0.703703704 -TCCGACGGGCGACTCCTCCG GGGGTCCGACGGGCGACTCCTCCGCGGGTACCAG sense ENSMUST00000025181 H2-K 871 131 35.5 CDS 4.267777919 0.661375661 -CCGACGGGCGACTCCTCCGC GGGTCCGACGGGCGACTCCTCCGCGGGTACCAGC sense ENSMUST00000025181 H2-K 872 132 35.77 CDS 4.443831235 0.772486772 -CGTACTGCTGGTACCCGCGG TAGGCGTACTGCTGGTACCCGCGGAGGAGTCGCC antisense ENSMUST00000025181 H2-K 874 132 35.77 CDS 4.817615593 0.952380952 -AGGCGTACTGCTGGTACCCG TCGTAGGCGTACTGCTGGTACCCGCGGAGGAGTC antisense ENSMUST00000025181 H2-K 877 133 36.04 CDS 4.564636141 0.841269841 -AGCCGTCGTAGGCGTACTGC TCGCAGCCGTCGTAGGCGTACTGCTGGTACCCGC antisense ENSMUST00000025181 H2-K 886 136 36.86 CDS 4.052730982 0.55026455 -TACCAGCAGTACGCCTACGA CGGGTACCAGCAGTACGCCTACGACGGCTGCGAT sense ENSMUST00000025181 H2-K 895 139 37.67 CDS 4.60433901 0.862433862 -GATGTAATCGCAGCCGTCGT GGGCGATGTAATCGCAGCCGTCGTAGGCGTACTG antisense ENSMUST00000025181 H2-K 897 140 37.94 CDS 4.301845328 0.687830688 -TGAACGAAGACCTGAAAACG GCCCTGAACGAAGACCTGAAAACGTGGACGGCGG sense ENSMUST00000025181 H2-K 935 153 41.46 CDS 4.139984632 0.582010582 -CGAAGACCTGAAAACGTGGA TGAACGAAGACCTGAAAACGTGGACGGCGGCGGA sense ENSMUST00000025181 H2-K 939 154 41.73 CDS 4.708934736 0.915343915 -AGACCTGAAAACGTGGACGG ACGAAGACCTGAAAACGTGGACGGCGGCGGACAT sense ENSMUST00000025181 H2-K 942 155 42.01 CDS 3.635404204 0.412698413 -CCTGAAAACGTGGACGGCGG AAGACCTGAAAACGTGGACGGCGGCGGACATGGC sense ENSMUST00000025181 H2-K 945 156 42.28 CDS 3.640899325 0.417989418 -AACGTGGACGGCGGCGGACA TGAAAACGTGGACGGCGGCGGACATGGCGGCGCT sense ENSMUST00000025181 H2-K 951 158 42.82 CDS 3.975414829 0.518518519 -GTGGACGGCGGCGGACATGG AAACGTGGACGGCGGCGGACATGGCGGCGCTGAT sense ENSMUST00000025181 H2-K 954 159 43.09 CDS 4.343835659 0.693121693 -AGCCTGCTCCCACTTGTGTT CACCAGCCTGCTCCCACTTGTGTTTGGTGATCAG antisense ENSMUST00000025181 H2-K 975 166 44.99 CDS 4.705740588 0.91005291 -CGCTGATCACCAAACACAAG GCGGCGCTGATCACCAAACACAAGTGGGAGCAGG sense ENSMUST00000025181 H2-K 977 167 45.26 CDS 5.131878163 0.994708995 -GCTGATCACCAAACACAAGT CGGCGCTGATCACCAAACACAAGTGGGAGCAGGC sense ENSMUST00000025181 H2-K 978 167 45.26 CDS 4.634694229 0.878306878 -CACCAAACACAAGTGGGAGC TGATCACCAAACACAAGTGGGAGCAGGCTGGTGA sense ENSMUST00000025181 H2-K 984 169 45.8 CDS 4.626062458 0.873015873 -AAACACAAGTGGGAGCAGGC CACCAAACACAAGTGGGAGCAGGCTGGTGAAGCA sense ENSMUST00000025181 H2-K 988 170 46.07 CDS 4.377111366 0.71957672 -CTGGTGAAGCAGAGAGACTC CAGGCTGGTGAAGCAGAGAGACTCAGGGCCTACC sense ENSMUST00000025181 H2-K 1007 177 47.97 CDS 4.29592823 0.671957672 -TGGTGAAGCAGAGAGACTCA AGGCTGGTGAAGCAGAGAGACTCAGGGCCTACCT sense ENSMUST00000025181 H2-K 1008 177 47.97 CDS 4.756550173 0.931216931 -AGAGAGACTCAGGGCCTACC AAGCAGAGAGACTCAGGGCCTACCTGGAGGGCAC sense ENSMUST00000025181 H2-K 1017 180 48.78 CDS 4.574681865 0.846560847 -GAGACTCAGGGCCTACCTGG CAGAGAGACTCAGGGCCTACCTGGAGGGCACGTG sense ENSMUST00000025181 H2-K 1020 181 49.05 CDS 4.920597495 0.968253968 -CACGCACGTGCCCTCCAGGT ACTCCACGCACGTGCCCTCCAGGTAGGCCCTGAG antisense ENSMUST00000025181 H2-K 1020 181 49.05 CDS 3.993719551 0.529100529 -AGACTCAGGGCCTACCTGGA AGAGAGACTCAGGGCCTACCTGGAGGGCACGTGC sense ENSMUST00000025181 H2-K 1021 181 49.05 CDS 4.397354626 0.73015873 -ACTCCACGCACGTGCCCTCC AGCCACTCCACGCACGTGCCCTCCAGGTAGGCCC antisense ENSMUST00000025181 H2-K 1024 182 49.32 CDS 4.080121749 0.555555556 -CTACCTGGAGGGCACGTGCG GGGCCTACCTGGAGGGCACGTGCGTGGAGTGGCT sense ENSMUST00000025181 H2-K 1032 185 50.14 CDS 4.536988956 0.82010582 -TGGAGGGCACGTGCGTGGAG TACCTGGAGGGCACGTGCGTGGAGTGGCTCCGCA sense ENSMUST00000025181 H2-K 1037 187 50.68 CDS 4.22466128 0.62962963 -TCCCGTTCTTCAGGTATCTG GCGTTCCCGTTCTTCAGGTATCTGCGGAGCCACT antisense ENSMUST00000025181 H2-K 1051 191 51.76 CDS 4.489889281 0.798941799 -CTCCGCAGATACCTGAAGAA GTGGCTCCGCAGATACCTGAAGAACGGGAACGCG sense ENSMUST00000025181 H2-K 1060 194 52.57 CDS 4.226641129 0.634920635 -GCGTCGCGTTCCCGTTCTTC AGCAGCGTCGCGTTCCCGTTCTTCAGGTATCTGC antisense ENSMUST00000025181 H2-K 1060 194 52.57 CDS 1.820345416 0.227513228 -TCCGCAGATACCTGAAGAAC TGGCTCCGCAGATACCTGAAGAACGGGAACGCGA sense ENSMUST00000025181 H2-K 1061 195 52.85 CDS 3.79539822 0.44973545 -AACGCGACGCTGCTGCGCAC CGGGAACGCGACGCTGCTGCGCACAGGTGCAGGG sense ENSMUST00000025181 H2-K 1084 202 54.74 CDS 4.126875922 0.566137566 -CTTCCACACAGATTCCCCAA AAATCTTCCACACAGATTCCCCAAAGGCCCATGT sense ENSMUST00000025181 H2-K 2805 206 55.83 CDS 4.904654913 0.962962963 -ATGGGTCACATGGGCCTTTG TGTGATGGGTCACATGGGCCTTTGGGGAATCTGT antisense ENSMUST00000025181 H2-K 2808 207 56.1 CDS 3.931096559 0.497354497 -GATGGGTCACATGGGCCTTT CTGTGATGGGTCACATGGGCCTTTGGGGAATCTG antisense ENSMUST00000025181 H2-K 2809 207 56.1 CDS 1.891871989 0.248677249 -TGATGGGTCACATGGGCCTT GCTGTGATGGGTCACATGGGCCTTTGGGGAATCT antisense ENSMUST00000025181 H2-K 2810 208 56.37 CDS -1.624706617 0.026455026 -TCTGCTGTGATGGGTCACAT CAGGTCTGCTGTGATGGGTCACATGGGCCTTTGG antisense ENSMUST00000025181 H2-K 2817 210 56.91 CDS 4.542400916 0.825396825 -GTCTGCTGTGATGGGTCACA TCAGGTCTGCTGTGATGGGTCACATGGGCCTTTG antisense ENSMUST00000025181 H2-K 2818 210 56.91 CDS 3.974785945 0.513227513 -ATCTTCAGGTCTGCTGTGAT CTTTATCTTCAGGTCTGCTGTGATGGGTCACATG antisense ENSMUST00000025181 H2-K 2826 213 57.72 CDS 4.233991729 0.64021164 -TATCTTCAGGTCTGCTGTGA ACTTTATCTTCAGGTCTGCTGTGATGGGTCACAT antisense ENSMUST00000025181 H2-K 2827 213 57.72 CDS 3.595174765 0.391534392 -CTCAGGGTGACTTTATCTTC GCACCTCAGGGTGACTTTATCTTCAGGTCTGCTG antisense ENSMUST00000025181 H2-K 2840 218 59.08 CDS 2.565928497 0.301587302 -CTGAAGATAAAGTCACCCTG AGACCTGAAGATAAAGTCACCCTGAGGTGCTGGG sense ENSMUST00000025181 H2-K 2852 222 60.16 CDS 5.079692637 0.989417989 -GCCCAGGGCCCAGCACCTCA AGAAGCCCAGGGCCCAGCACCTCAGGGTGACTTT antisense ENSMUST00000025181 H2-K 2856 223 60.43 CDS 4.299456643 0.682539683 -AGCCCAGGGCCCAGCACCTC TAGAAGCCCAGGGCCCAGCACCTCAGGGTGACTT antisense ENSMUST00000025181 H2-K 2857 223 60.43 CDS 2.500922414 0.291005291 -ATAAAGTCACCCTGAGGTGC GAAGATAAAGTCACCCTGAGGTGCTGGGCCCTGG sense ENSMUST00000025181 H2-K 2858 224 60.7 CDS 4.149189478 0.597883598 -TAAAGTCACCCTGAGGTGCT AAGATAAAGTCACCCTGAGGTGCTGGGCCCTGGG sense ENSMUST00000025181 H2-K 2859 224 60.7 CDS 4.258808539 0.650793651 -CACCCTGAGGTGCTGGGCCC AAGTCACCCTGAGGTGCTGGGCCCTGGGCTTCTA sense ENSMUST00000025181 H2-K 2865 226 61.25 CDS 0.271122746 0.105820106 -ACCCTGAGGTGCTGGGCCCT AGTCACCCTGAGGTGCTGGGCCCTGGGCTTCTAC sense ENSMUST00000025181 H2-K 2866 226 61.25 CDS 1.820413309 0.232804233 -GTCAGCAGGGTAGAAGCCCA TGATGTCAGCAGGGTAGAAGCCCAGGGCCCAGCA antisense ENSMUST00000025181 H2-K 2871 228 61.79 CDS 1.23588011 0.174603175 -AGGTCAGGGTGATGTCAGCA TGCCAGGTCAGGGTGATGTCAGCAGGGTAGAAGC antisense ENSMUST00000025181 H2-K 2884 232 62.87 CDS 3.693367346 0.423280423 -CAGGTCAGGGTGATGTCAGC CTGCCAGGTCAGGGTGATGTCAGCAGGGTAGAAG antisense ENSMUST00000025181 H2-K 2885 233 63.14 CDS 1.577059219 0.206349206 -CCCATTCAACTGCCAGGTCA CCTCCCCATTCAACTGCCAGGTCAGGGTGATGTC antisense ENSMUST00000025181 H2-K 2898 237 64.23 CDS 3.595393926 0.396825397 -CCCCATTCAACTGCCAGGTC TCCTCCCCATTCAACTGCCAGGTCAGGGTGATGT antisense ENSMUST00000025181 H2-K 2899 237 64.23 CDS 2.183370485 0.26984127 -CTCCTCCCCATTCAACTGCC TCAGCTCCTCCCCATTCAACTGCCAGGTCAGGGT antisense ENSMUST00000025181 H2-K 2904 239 64.77 CDS 2.527335474 0.296296296 -ACCCTGACCTGGCAGTTGAA CATCACCCTGACCTGGCAGTTGAATGGGGAGGAG sense ENSMUST00000025181 H2-K 2908 240 65.04 CDS 2.85911759 0.349206349 -CCCTGACCTGGCAGTTGAAT ATCACCCTGACCTGGCAGTTGAATGGGGAGGAGC sense ENSMUST00000025181 H2-K 2909 241 65.31 CDS 2.622999748 0.322751323 -CCTGACCTGGCAGTTGAATG TCACCCTGACCTGGCAGTTGAATGGGGAGGAGCT sense ENSMUST00000025181 H2-K 2910 241 65.31 CDS 3.815034094 0.465608466 -GAATGGGGAGGAGCTGATCC AGTTGAATGGGGAGGAGCTGATCCAGGACATGGA sense ENSMUST00000025181 H2-K 2925 246 66.67 CDS 4.142784911 0.587301587 -TCTCCACAAGCTCCATGTCC CTGGTCTCCACAAGCTCCATGTCCTGGATCAGCT antisense ENSMUST00000025181 H2-K 2932 248 67.21 CDS 2.282522461 0.275132275 -GATCCAGGACATGGAGCTTG AGCTGATCCAGGACATGGAGCTTGTGGAGACCAG sense ENSMUST00000025181 H2-K 2940 251 68.02 CDS 3.424722007 0.37037037 -ACATGGAGCTTGTGGAGACC CAGGACATGGAGCTTGTGGAGACCAGGCCTGCAG sense ENSMUST00000025181 H2-K 2948 254 68.83 CDS 0.122964778 0.084656085 -GGTTCCATCCCCTGCAGGCC GGAAGGTTCCATCCCCTGCAGGCCTGGTCTCCAC antisense ENSMUST00000025181 H2-K 2955 256 69.38 CDS -0.025860818 0.079365079 -CTTGTGGAGACCAGGCCTGC GGAGCTTGTGGAGACCAGGCCTGCAGGGGATGGA sense ENSMUST00000025181 H2-K 2956 256 69.38 CDS 2.338081022 0.28042328 -TTGTGGAGACCAGGCCTGCA GAGCTTGTGGAGACCAGGCCTGCAGGGGATGGAA sense ENSMUST00000025181 H2-K 2957 257 69.65 CDS 2.622929669 0.317460317 -TGGAAGGTTCCATCCCCTGC CTTCTGGAAGGTTCCATCCCCTGCAGGCCTGGTC antisense ENSMUST00000025181 H2-K 2960 258 69.92 CDS 1.152142278 0.164021164 -GAGACCAGGCCTGCAGGGGA TGTGGAGACCAGGCCTGCAGGGGATGGAACCTTC sense ENSMUST00000025181 H2-K 2962 258 69.92 CDS 1.953862735 0.253968254 -CACAGATGCCCACTTCTGGA CCACCACAGATGCCCACTTCTGGAAGGTTCCATC antisense ENSMUST00000025181 H2-K 2976 263 71.27 CDS 4.711674052 0.920634921 -CCACCACAGATGCCCACTTC GGCACCACCACAGATGCCCACTTCTGGAAGGTTC antisense ENSMUST00000025181 H2-K 2980 264 71.54 CDS 1.35423205 0.17989418 -CTTCCAGAAGTGGGCATCTG GAACCTTCCAGAAGTGGGCATCTGTGGTGGTGCC sense ENSMUST00000025181 H2-K 2988 267 72.36 CDS 2.796417173 0.338624339 -CCAGAAGTGGGCATCTGTGG CCTTCCAGAAGTGGGCATCTGTGGTGGTGCCTCT sense ENSMUST00000025181 H2-K 2991 268 72.63 CDS 3.924946797 0.492063492 -GCATCTGTGGTGGTGCCTCT GTGGGCATCTGTGGTGGTGCCTCTTGGGAAGGAG sense ENSMUST00000025181 H2-K 3001 271 73.44 CDS -0.552019058 0.063492063 -CATCTGTGGTGGTGCCTCTT TGGGCATCTGTGGTGGTGCCTCTTGGGAAGGAGC sense ENSMUST00000025181 H2-K 3002 272 73.71 CDS 0.749025415 0.137566138 -TGTGGTGGTGCCTCTTGGGA CATCTGTGGTGGTGCCTCTTGGGAAGGAGCAGTA sense ENSMUST00000025181 H2-K 3006 273 73.98 CDS 3.433289385 0.375661376 -GCAGCCCCTGATGGTACACA TCAGGCAGCCCCTGATGGTACACATGGCATGTGT antisense ENSMUST00000025181 H2-K 3034 282 76.42 CDS 4.404583862 0.740740741 -CACATGCCATGTGTACCATC ATTACACATGCCATGTGTACCATCAGGGGCTGCC sense ENSMUST00000025181 H2-K 3039 284 76.96 CDS 3.052001273 0.354497354 -ACATGCCATGTGTACCATCA TTACACATGCCATGTGTACCATCAGGGGCTGCCT sense ENSMUST00000025181 H2-K 3040 284 76.96 CDS 4.269762657 0.666666667 -CATGCCATGTGTACCATCAG TACACATGCCATGTGTACCATCAGGGGCTGCCTG sense ENSMUST00000025181 H2-K 3041 285 77.24 CDS 4.202205508 0.619047619 -GGGGCTCAGGCAGCCCCTGA GTGAGGGGCTCAGGCAGCCCCTGATGGTACACAT antisense ENSMUST00000025181 H2-K 3043 285 77.24 CDS -4.208328122 0.010582011 -CATCTCAGGGTGAGGGGCTC ACCCCATCTCAGGGTGAGGGGCTCAGGCAGCCCC antisense ENSMUST00000025181 H2-K 3056 290 78.59 CDS 1.399121107 0.19047619 -TTACCCCATCTCAGGGTGAG CTCCTTACCCCATCTCAGGGTGAGGGGCTCAGGC antisense ENSMUST00000025181 H2-K 3062 292 79.13 CDS 2.756073941 0.328042328 -CTTACCCCATCTCAGGGTGA TCTCCTTACCCCATCTCAGGGTGAGGGGCTCAGG antisense ENSMUST00000025181 H2-K 3063 292 79.13 CDS 1.768010013 0.216931217 -CCTTACCCCATCTCAGGGTG CTCTCCTTACCCCATCTCAGGGTGAGGGGCTCAG antisense ENSMUST00000025181 H2-K 3064 292 79.13 CDS 1.859499764 0.243386243 -CTGAGCCCCTCACCCTGAGA CTGCCTGAGCCCCTCACCCTGAGATGGGGTAAGG sense ENSMUST00000025181 H2-K 3068 294 79.67 CDS 1.65810768 0.211640212 -TGAGCCCCTCACCCTGAGAT TGCCTGAGCCCCTCACCCTGAGATGGGGTAAGGA sense ENSMUST00000025181 H2-K 3069 294 79.67 CDS 1.806668935 0.222222222 -GAGCCCCTCACCCTGAGATG GCCTGAGCCCCTCACCCTGAGATGGGGTAAGGAG sense ENSMUST00000025181 H2-K 3070 294 79.67 CDS 2.773082491 0.333333333 -CACTCTCCTTACCCCATCTC CCCACACTCTCCTTACCCCATCTCAGGGTGAGGG antisense ENSMUST00000025181 H2-K 3070 294 79.67 CDS 1.515889115 0.201058201 -CCTCACCCTGAGATGGGGTA AGCCCCTCACCCTGAGATGGGGTAAGGAGAGTGT sense ENSMUST00000025181 H2-K 3075 CDS/I 1.415370689 0.195767196 -CAGTGGATGGAGGAGGCTCT GAGACAGTGGATGGAGGAGGCTCTGGGAAGGACA antisense ENSMUST00000025181 H2-K 3203 296 80.22 CDS 2.839987713 0.343915344 -ACAGTGGATGGAGGAGGCTC GGAGACAGTGGATGGAGGAGGCTCTGGGAAGGAC antisense ENSMUST00000025181 H2-K 3204 297 80.49 CDS -0.167007666 0.068783069 -TTGGAGACAGTGGATGGAGG CATGTTGGAGACAGTGGATGGAGGAGGCTCTGGG antisense ENSMUST00000025181 H2-K 3210 299 81.03 CDS 2.611557814 0.306878307 -ATGTTGGAGACAGTGGATGG CGCCATGTTGGAGACAGTGGATGGAGGAGGCTCT antisense ENSMUST00000025181 H2-K 3213 300 81.3 CDS 3.935414964 0.502645503 -GCCATGTTGGAGACAGTGGA GGTCGCCATGTTGGAGACAGTGGATGGAGGAGGC antisense ENSMUST00000025181 H2-K 3216 301 81.57 CDS 3.697167394 0.428571429 -GGTCGCCATGTTGGAGACAG CAACGGTCGCCATGTTGGAGACAGTGGATGGAGG antisense ENSMUST00000025181 H2-K 3220 302 81.84 CDS 3.243825761 0.35978836 -TCCATCCACTGTCTCCAACA CTCCTCCATCCACTGTCTCCAACATGGCGACCGT sense ENSMUST00000025181 H2-K 3226 304 82.38 CDS 3.351821963 0.365079365 -AACAGCAACGGTCGCCATGT CCAGAACAGCAACGGTCGCCATGTTGGAGACAGT antisense ENSMUST00000025181 H2-K 3229 305 82.66 CDS 3.865344025 0.476190476 -AAGGACAACCAGAACAGCAA CTCCAAGGACAACCAGAACAGCAACGGTCGCCAT antisense ENSMUST00000025181 H2-K 3241 309 83.74 CDS 4.223003888 0.624338624 -CATGGCGACCGTTGCTGTTC CCAACATGGCGACCGTTGCTGTTCTGGTTGTCCT sense ENSMUST00000025181 H2-K 3244 310 84.01 CDS -0.055384545 0.074074074 -GTTGCTGTTCTGGTTGTCCT GACCGTTGCTGTTCTGGTTGTCCTTGGAGCTGCA sense ENSMUST00000025181 H2-K 3254 313 84.82 CDS 4.247270842 0.645502646 -CAGTGACTATTGCAGCTCCA GCTCCAGTGACTATTGCAGCTCCAAGGACAACCA antisense ENSMUST00000025181 H2-K 3260 315 85.37 CDS 4.366878725 0.714285714 -CTTGGAGCTGCAATAGTCAC TGTCCTTGGAGCTGCAATAGTCACTGGAGCTGTG sense ENSMUST00000025181 H2-K 3272 319 86.45 CDS 3.805576171 0.46031746 -TGCAATAGTCACTGGAGCTG GAGCTGCAATAGTCACTGGAGCTGTGGTGGCTTT sense ENSMUST00000025181 H2-K 3280 322 87.26 CDS 3.974760189 0.507936508 -AATAGTCACTGGAGCTGTGG CTGCAATAGTCACTGGAGCTGTGGTGGCTTTTGT sense ENSMUST00000025181 H2-K 3283 323 87.53 CDS 4.165344848 0.603174603 -AAGATGAGAAGGAGAAACAC GATGAAGATGAGAAGGAGAAACACAGGTAGGAAA sense ENSMUST00000025181 H2-K 3317 334 90.51 CDS 1.836180761 0.238095238 -TTTCTTCTCACAGGTGGAAA AGCTTTTCTTCTCACAGGTGGAAAAGGAGGGGAC sense ENSMUST00000025181 H2-K 3504 337 91.33 CDS 0.264531129 0.100529101 -CTTCTCACAGGTGGAAAAGG TTTTCTTCTCACAGGTGGAAAAGGAGGGGACTAT sense ENSMUST00000025181 H2-K 3507 338 91.6 CDS 1.392461008 0.185185185 -TTCTCACAGGTGGAAAAGGA TTTCTTCTCACAGGTGGAAAAGGAGGGGACTATG sense ENSMUST00000025181 H2-K 3508 339 91.87 CDS -1.603572814 0.031746032 -TCTCACAGGTGGAAAAGGAG TTCTTCTCACAGGTGGAAAAGGAGGGGACTATGC sense ENSMUST00000025181 H2-K 3509 339 91.87 CDS 0.387148738 0.121693122 -AAAAGGAGGGGACTATGCTC GTGGAAAAGGAGGGGACTATGCTCTGGCTCCAGG sense ENSMUST00000025181 H2-K 3521 343 92.95 CDS 2.122313182 0.259259259 -GGGGACTATGCTCTGGCTCC AGGAGGGGACTATGCTCTGGCTCCAGGTTAGTGT sense ENSMUST00000025181 H2-K 3528 345 93.5 CDS -0.995834472 0.058201058 -ATCAGAGGTCTGGGAGCCTA ACAGATCAGAGGTCTGGGAGCCTAGGGTAAAACA antisense ENSMUST00000025181 H2-K 3705 347 94.04 I/CDS -2.633910816 0.015873016 -GATCAGAGGTCTGGGAGCCT GACAGATCAGAGGTCTGGGAGCCTAGGGTAAAAC antisense ENSMUST00000025181 H2-K 3706 347 94.04 CDS -1.569095682 0.037037037 -GAGAGACAGATCAGAGGTCT CTGGGAGAGACAGATCAGAGGTCTGGGAGCCTAG antisense ENSMUST00000025181 H2-K 3714 350 94.85 CDS 0.944180402 0.148148148 -GGAGAGACAGATCAGAGGTC TCTGGGAGAGACAGATCAGAGGTCTGGGAGCCTA antisense ENSMUST00000025181 H2-K 3715 350 94.85 CDS 0.290976116 0.111111111 -ATCTGGGAGAGACAGATCAG TACAATCTGGGAGAGACAGATCAGAGGTCTGGGA antisense ENSMUST00000025181 H2-K 3720 352 95.39 CDS -1.367186174 0.042328042 -GAGTGTCACCTTTACAATCT CCTAGAGTGTCACCTTTACAATCTGGGAGAGACA antisense ENSMUST00000025181 H2-K 3736 357 96.75 CDS 1.00026184 0.153439153 -AGAGTGTCACCTTTACAATC CCCTAGAGTGTCACCTTTACAATCTGGGAGAGAC antisense ENSMUST00000025181 H2-K 3737 358 97.02 CDS -1.153081868 0.047619048 -CTGTCTCTCCCAGATTGTAA TGATCTGTCTCTCCCAGATTGTAAAGGTGACACT sense ENSMUST00000025181 H2-K 3739 358 97.02 CDS -2.234540645 0.021164021 -GAATGTTGTCTTCACAGTGA GTTCGAATGTTGTCTTCACAGTGATGGTTCATGA sense ENSMUST00000025181 H2-K 3856 360 97.56 I/CDS 0.49446732 0.126984127 -GTCTTCACGCTAGAGAATGA AGCTGTCTTCACGCTAGAGAATGAGGGTCATGAA antisense ENSMUST00000025181 H2-K 3875 366 99.19 CDS 0.694477487 0.132275132 -TGTCTTCACGCTAGAGAATG CAGCTGTCTTCACGCTAGAGAATGAGGGTCATGA antisense ENSMUST00000025181 H2-K 3876 367 99.46 CDS -1.0132209 0.052910053 -AGGGGCAGCAGTAGCAGCAG CAGCAGGGGCAGCAGTAGCAGCAGCGGCATGTCT antisense ENST00000262262 CD33 56 4 1.1 CDS 1.515624197 0.359116022 -CACTCACCTGCCCACAGCAG CAGCCACTCACCTGCCCACAGCAGGGGCAGCAGT antisense ENST00000262262 CD33 74 10 2.75 CDS 2.321190016 0.613259669 -TGCTACTGCTGCCCCTGCTG CTGCTGCTACTGCTGCCCCTGCTGTGGGCAGGTG sense ENST00000262262 CD33 74 10 2.75 CDS 2.024067698 0.453038674 -CCACTCACCTGCCCACAGCA ACAGCCACTCACCTGCCCACAGCAGGGGCAGCAG antisense ENST00000262262 CD33 75 10 2.75 CDS 2.717068444 0.828729282 -GCTACTGCTGCCCCTGCTGT TGCTGCTACTGCTGCCCCTGCTGTGGGCAGGTGA sense ENST00000262262 CD33 75 10 2.75 CDS 2.441711632 0.685082873 -GCCACTCACCTGCCCACAGC CACAGCCACTCACCTGCCCACAGCAGGGGCAGCA antisense ENST00000262262 CD33 76 10 2.75 CDS 2.436156634 0.679558011 -CTGCTGCCCCTGCTGTGGGC GCTACTGCTGCCCCTGCTGTGGGCAGGTGAGTGG sense ENST00000262262 CD33 79 11 3.02 CDS 2.236641461 0.574585635 -CCCCACAGGGGCCCTGGCTA GTTTCCCCACAGGGGCCCTGGCTATGGATCCAAA sense ENST00000262262 CD33 155 16 4.4 CDS 1.752500255 0.414364641 -GAAATTTGGATCCATAGCCA GCCAGAAATTTGGATCCATAGCCAGGGCCCCTGT antisense ENST00000262262 CD33 155 16 4.4 CDS 0.664085941 0.215469613 -AGAAATTTGGATCCATAGCC AGCCAGAAATTTGGATCCATAGCCAGGGCCCCTG antisense ENST00000262262 CD33 156 16 4.4 CDS -0.685926222 0.016574586 -TGGCTATGGATCCAAATTTC GCCCTGGCTATGGATCCAAATTTCTGGCTGCAAG sense ENST00000262262 CD33 169 21 5.77 CDS 0.622303502 0.20441989 -TGCACTTGCAGCCAGAAATT CTCCTGCACTTGCAGCCAGAAATTTGGATCCATA antisense ENST00000262262 CD33 169 21 5.77 CDS 0.322569871 0.132596685 -AAATTTCTGGCTGCAAGTGC ATCCAAATTTCTGGCTGCAAGTGCAGGAGTCAGT sense ENST00000262262 CD33 182 25 6.87 CDS 1.14939853 0.281767956 -GCAAGTGCAGGAGTCAGTGA GGCTGCAAGTGCAGGAGTCAGTGACGGTACAGGA sense ENST00000262262 CD33 194 29 7.97 CDS 2.809592107 0.878453039 -GCAGGAGTCAGTGACGGTAC AAGTGCAGGAGTCAGTGACGGTACAGGAGGGTTT sense ENST00000262262 CD33 200 31 8.52 CDS 2.781398335 0.867403315 -GGAGTCAGTGACGGTACAGG TGCAGGAGTCAGTGACGGTACAGGAGGGTTTGTG sense ENST00000262262 CD33 203 32 8.79 CDS 2.907746295 0.944751381 -GAGTCAGTGACGGTACAGGA GCAGGAGTCAGTGACGGTACAGGAGGGTTTGTGC sense ENST00000262262 CD33 204 32 8.79 CDS 2.906673191 0.939226519 -GGAAGAAAGTGCAGGGCACG GGATGGAAGAAAGTGCAGGGCACGAGGACGCACA antisense ENST00000262262 CD33 225 39 10.71 CDS 2.956203574 0.966850829 -ATGGGATGGAAGAAAGTGCA GGGTATGGGATGGAAGAAAGTGCAGGGCACGAGG antisense ENST00000262262 CD33 232 42 11.54 CDS 2.839238123 0.900552486 -TATGGGATGGAAGAAAGTGC AGGGTATGGGATGGAAGAAAGTGCAGGGCACGAG antisense ENST00000262262 CD33 233 42 11.54 CDS 2.75120578 0.850828729 -TGTCGTAGTAGGGTATGGGA TTCTTGTCGTAGTAGGGTATGGGATGGAAGAAAG antisense ENST00000262262 CD33 246 46 12.64 CDS 2.970595316 0.977900552 -TTCTTGTCGTAGTAGGGTAT GGAGTTCTTGTCGTAGTAGGGTATGGGATGGAAG antisense ENST00000262262 CD33 250 48 13.19 CDS 2.856410403 0.91160221 -GTTCTTGTCGTAGTAGGGTA GGGAGTTCTTGTCGTAGTAGGGTATGGGATGGAA antisense ENST00000262262 CD33 251 48 13.19 CDS 2.958481593 0.972375691 -GGGGAGTTCTTGTCGTAGTA AACTGGGGAGTTCTTGTCGTAGTAGGGTATGGGA antisense ENST00000262262 CD33 256 50 13.74 CDS 2.395863256 0.651933702 -TGGGGAGTTCTTGTCGTAGT GAACTGGGGAGTTCTTGTCGTAGTAGGGTATGGG antisense ENST00000262262 CD33 257 50 13.74 CDS 2.135235499 0.497237569 -GAACCAGTAACCATGAACTG CCCGGAACCAGTAACCATGAACTGGGGAGTTCTT antisense ENST00000262262 CD33 275 56 15.38 CDS 2.868938788 0.917127072 -GGAACCAGTAACCATGAACT TCCCGGAACCAGTAACCATGAACTGGGGAGTTCT antisense ENST00000262262 CD33 276 56 15.38 CDS 3.018775231 0.994475138 -GACAAGAACTCCCCAGTTCA CTACGACAAGAACTCCCCAGTTCATGGTTACTGG sense ENST00000262262 CD33 276 56 15.38 CDS 2.558067536 0.729281768 -CGGAACCAGTAACCATGAAC TTCCCGGAACCAGTAACCATGAACTGGGGAGTTC antisense ENST00000262262 CD33 277 57 15.66 CDS 2.278463957 0.591160221 -ACTCCCCAGTTCATGGTTAC AAGAACTCCCCAGTTCATGGTTACTGGTTCCGGG sense ENST00000262262 CD33 283 59 16.21 CDS 2.293379637 0.596685083 -CAGTTCATGGTTACTGGTTC TCCCCAGTTCATGGTTACTGGTTCCGGGAAGGAG sense ENST00000262262 CD33 289 61 16.76 CDS 0.557148006 0.182320442 -AGTTCATGGTTACTGGTTCC CCCCAGTTCATGGTTACTGGTTCCGGGAAGGAGC sense ENST00000262262 CD33 290 61 16.76 CDS 2.062606598 0.464088398 -CATGGTTACTGGTTCCGGGA AGTTCATGGTTACTGGTTCCGGGAAGGAGCCATT sense ENST00000262262 CD33 294 62 17.03 CDS 2.486366831 0.712707182 -TGGATATAATGGCTCCTTCC TCCCTGGATATAATGGCTCCTTCCCGGAACCAGT antisense ENST00000262262 CD33 297 63 17.31 CDS 2.634441546 0.784530387 -TGGAGAGTCCCTGGATATAA CCACTGGAGAGTCCCTGGATATAATGGCTCCTTC antisense ENST00000262262 CD33 308 67 18.41 CDS 1.233526489 0.29281768 -GGGAAGGAGCCATTATATCC TTCCGGGAAGGAGCCATTATATCCAGGGACTCTC sense ENST00000262262 CD33 310 68 18.68 CDS 1.237298754 0.298342541 -GGAAGGAGCCATTATATCCA TCCGGGAAGGAGCCATTATATCCAGGGACTCTCC sense ENST00000262262 CD33 311 68 18.68 CDS 1.687879804 0.392265193 -TGTGGCCACTGGAGAGTCCC TGTTTGTGGCCACTGGAGAGTCCCTGGATATAAT antisense ENST00000262262 CD33 317 70 19.23 CDS 2.704169364 0.806629834 -TATATCCAGGGACTCTCCAG CCATTATATCCAGGGACTCTCCAGTGGCCACAAA sense ENST00000262262 CD33 323 72 19.78 CDS 2.872007456 0.922651934 -TCTAGCTTGTTTGTGGCCAC TTGATCTAGCTTGTTTGTGGCCACTGGAGAGTCC antisense ENST00000262262 CD33 328 74 20.33 CDS 2.329461035 0.61878453 -TTCTTGATCTAGCTTGTTTG GTACTTCTTGATCTAGCTTGTTTGTGGCCACTGG antisense ENST00000262262 CD33 335 76 20.88 CDS -0.011391783 0.08839779 -CAAGCTAGATCAAGAAGTAC CAAACAAGCTAGATCAAGAAGTACAGGAGGAGAC sense ENST00000262262 CD33 353 82 22.53 CDS 2.63139569 0.779005525 -GCTAGATCAAGAAGTACAGG ACAAGCTAGATCAAGAAGTACAGGAGGAGACTCA sense ENST00000262262 CD33 356 83 22.8 CDS 2.560066267 0.73480663 -AGAAGTACAGGAGGAGACTC ATCAAGAAGTACAGGAGGAGACTCAGGGCAGATT sense ENST00000262262 CD33 365 86 23.63 CDS 2.574746353 0.751381215 -GAAGTACAGGAGGAGACTCA TCAAGAAGTACAGGAGGAGACTCAGGGCAGATTC sense ENST00000262262 CD33 366 86 23.63 CDS 2.402497311 0.657458564 -TACTGGGATCCCCAAGGAGG TTCCTACTGGGATCCCCAAGGAGGCGGAATCTGC antisense ENST00000262262 CD33 384 92 25.27 CDS 2.14107594 0.513812155 -CAGGGCAGATTCCGCCTCCT GACTCAGGGCAGATTCCGCCTCCTTGGGGATCCC sense ENST00000262262 CD33 384 92 25.27 CDS 0.485763981 0.160220994 -AGGGCAGATTCCGCCTCCTT ACTCAGGGCAGATTCCGCCTCCTTGGGGATCCCA sense ENST00000262262 CD33 385 93 25.55 CDS 1.814530075 0.419889503 -GGGCAGATTCCGCCTCCTTG CTCAGGGCAGATTCCGCCTCCTTGGGGATCCCAG sense ENST00000262262 CD33 386 93 25.55 CDS 2.581319722 0.756906077 -TCCTACTGGGATCCCCAAGG TTGTTCCTACTGGGATCCCCAAGGAGGCGGAATC antisense ENST00000262262 CD33 387 93 25.55 CDS 2.564535068 0.740331492 -TGTTCCTACTGGGATCCCCA CAGTTGTTCCTACTGGGATCCCCAAGGAGGCGGA antisense ENST00000262262 CD33 390 94 25.82 CDS 2.736228329 0.839779006 -GCCTCCTTGGGGATCCCAGT TTCCGCCTCCTTGGGGATCCCAGTAGGAACAACT sense ENST00000262262 CD33 397 97 26.65 CDS 2.076183718 0.46961326 -AGGGAGCAGTTGTTCCTACT GCTCAGGGAGCAGTTGTTCCTACTGGGATCCCCA antisense ENST00000262262 CD33 400 98 26.92 CDS 1.516419366 0.364640884 -CAGGGAGCAGTTGTTCCTAC TGCTCAGGGAGCAGTTGTTCCTACTGGGATCCCC antisense ENST00000262262 CD33 401 98 26.92 CDS 1.634974216 0.386740331 -CCTGGCGTCTACGATGCTCA TCCTCCTGGCGTCTACGATGCTCAGGGAGCAGTT antisense ENST00000262262 CD33 419 104 28.57 CDS 2.928882585 0.955801105 -TCCTGGCGTCTACGATGCTC CTCCTCCTGGCGTCTACGATGCTCAGGGAGCAGT antisense ENST00000262262 CD33 420 104 28.57 CDS 2.714904671 0.82320442 -CCCTGAGCATCGTAGACGCC TGCTCCCTGAGCATCGTAGACGCCAGGAGGAGGG sense ENST00000262262 CD33 430 108 29.67 CDS 2.091730229 0.475138122 -TGAGCATCGTAGACGCCAGG TCCCTGAGCATCGTAGACGCCAGGAGGAGGGATA sense ENST00000262262 CD33 433 109 29.95 CDS 2.954986797 0.961325967 -GCATCGTAGACGCCAGGAGG CTGAGCATCGTAGACGCCAGGAGGAGGGATAATG sense ENST00000262262 CD33 436 110 30.22 CDS 2.914784438 0.950276243 -TGAACCATTATCCCTCCTCC AGTATGAACCATTATCCCTCCTCCTGGCGTCTAC antisense ENST00000262262 CD33 437 110 30.22 CDS 2.80127679 0.872928177 -CATCGTAGACGCCAGGAGGA TGAGCATCGTAGACGCCAGGAGGAGGGATAATGG sense ENST00000262262 CD33 437 110 30.22 CDS 2.761465224 0.856353591 -GACGCCAGGAGGAGGGATAA CGTAGACGCCAGGAGGAGGGATAATGGTTCATAC sense ENST00000262262 CD33 444 112 30.77 CDS 1.978920019 0.430939227 -ATAATGGTTCATACTTCTTT AGGGATAATGGTTCATACTTCTTTCGGATGGAGA sense ENST00000262262 CD33 460 118 32.42 CDS 1.746346448 0.403314917 -TGGTTCATACTTCTTTCGGA ATAATGGTTCATACTTCTTTCGGATGGAGAGAGG sense ENST00000262262 CD33 464 119 32.69 CDS 2.174772097 0.541436464 -TACTTCTTTCGGATGGAGAG TTCATACTTCTTTCGGATGGAGAGAGGAAGTACC sense ENST00000262262 CD33 471 121 33.24 CDS 2.364949644 0.635359116 -GGGAGATTTGTAACTGTATT GCTGGGGAGATTTGTAACTGTATTTGGTACTTCC antisense ENST00000262262 CD33 488 127 34.89 CDS -0.374968676 0.060773481 -GTCACATGCACAGAGAGCTG ACCTGTCACATGCACAGAGAGCTGGGGAGATTTG antisense ENST00000262262 CD33 508 134 36.81 CDS 2.905224521 0.928176796 -TGTCACATGCACAGAGAGCT CACCTGTCACATGCACAGAGAGCTGGGGAGATTT antisense ENST00000262262 CD33 509 134 36.81 CDS 2.814018072 0.883977901 -CTGTCACATGCACAGAGAGC TCACCTGTCACATGCACAGAGAGCTGGGGAGATT antisense ENST00000262262 CD33 510 134 36.81 CDS 2.11705753 0.486187845 -CAGCTCTCTGTGCATGTGAC TCCCCAGCTCTCTGTGCATGTGACAGGTGAGGCA sense ENST00000262262 CD33 522 138 37.91 CDS 2.163063727 0.53038674 -CCTCACTAGACTTGACCCAC TTCTCCTCACTAGACTTGACCCACAGGCCCAAAA sense ENST00000262262 CD33 739 143 39.29 CDS 2.681097681 0.801104972 -AGTGCCAGGGATGAGGATTT CTAGAGTGCCAGGGATGAGGATTTTGGGCCTGTG antisense ENST00000262262 CD33 752 147 40.38 CDS -0.531388184 0.027624309 -GTTCTAGAGTGCCAGGGATG CCGGGTTCTAGAGTGCCAGGGATGAGGATTTTGG antisense ENST00000262262 CD33 759 149 40.93 CDS 2.24884482 0.580110497 -AGGCCCAAAATCCTCATCCC CCACAGGCCCAAAATCCTCATCCCTGGCACTCTA sense ENST00000262262 CD33 759 149 40.93 CDS 2.709376086 0.812154696 -GGCCGGGTTCTAGAGTGCCA GAGTGGCCGGGTTCTAGAGTGCCAGGGATGAGGA antisense ENST00000262262 CD33 765 151 41.48 CDS 2.976197519 0.983425414 -TGGCCGGGTTCTAGAGTGCC GGAGTGGCCGGGTTCTAGAGTGCCAGGGATGAGG antisense ENST00000262262 CD33 766 152 41.76 CDS 0.294384661 0.116022099 -ATCCCTGGCACTCTAGAACC CCTCATCCCTGGCACTCTAGAACCCGGCCACTCC sense ENST00000262262 CD33 774 154 42.31 CDS 3.169998195 1 -CCCAGGACACAGAGCAGGTC CAGGCCCAGGACACAGAGCAGGTCAGGTTTTTGG antisense ENST00000262262 CD33 798 162 44.51 CDS 2.11554414 0.480662983 -ACAGGCCCAGGACACAGAGC GCTCACAGGCCCAGGACACAGAGCAGGTCAGGTT antisense ENST00000262262 CD33 803 164 45.05 CDS 2.153069144 0.524861878 -ACCTGACCTGCTCTGTGTCC AAAAACCTGACCTGCTCTGTGTCCTGGGCCTGTG sense ENST00000262262 CD33 808 166 45.6 CDS 2.170018904 0.535911602 -CCTGACCTGCTCTGTGTCCT AAAACCTGACCTGCTCTGTGTCCTGGGCCTGTGA sense ENST00000262262 CD33 809 166 45.6 CDS 1.587969618 0.375690608 -TGTTCCCTGCTCACAGGCCC GGGGTGTTCCCTGCTCACAGGCCCAGGACACAGA antisense ENST00000262262 CD33 815 168 46.15 CDS 2.668063364 0.79558011 -CGGGGGTGTTCCCTGCTCAC AGATCGGGGGTGTTCCCTGCTCACAGGCCCAGGA antisense ENST00000262262 CD33 821 170 46.7 CDS -0.469338084 0.038674033 -TGTGTCCTGGGCCTGTGAGC GCTCTGTGTCCTGGGCCTGTGAGCAGGGAACACC sense ENST00000262262 CD33 821 170 46.7 CDS 2.224360042 0.563535912 -GTGTCCTGGGCCTGTGAGCA CTCTGTGTCCTGGGCCTGTGAGCAGGGAACACCC sense ENST00000262262 CD33 822 170 46.7 CDS 2.417758423 0.674033149 -GACAACCAGGAGAAGATCGG AGCTGACAACCAGGAGAAGATCGGGGGTGTTCCC antisense ENST00000262262 CD33 838 176 48.35 CDS 2.905579735 0.933701657 -TGACAACCAGGAGAAGATCG CAGCTGACAACCAGGAGAAGATCGGGGGTGTTCC antisense ENST00000262262 CD33 839 176 48.35 CDS 2.731675312 0.834254144 -CTGACAACCAGGAGAAGATC GCAGCTGACAACCAGGAGAAGATCGGGGGTGTTC antisense ENST00000262262 CD33 840 176 48.35 CDS 2.46614367 0.696132597 -GCTGACAACCAGGAGAAGAT GGCAGCTGACAACCAGGAGAAGATCGGGGGTGTT antisense ENST00000262262 CD33 841 177 48.63 CDS 2.17896181 0.546961326 -GAACACCCCCGATCTTCTCC CAGGGAACACCCCCGATCTTCTCCTGGTTGTCAG sense ENST00000262262 CD33 844 178 48.9 CDS 2.356523061 0.629834254 -GGTGGGGGCAGCTGACAACC GGGAGGTGGGGGCAGCTGACAACCAGGAGAAGAT antisense ENST00000262262 CD33 851 180 49.45 CDS 2.566237776 0.745856354 -CCTGGGGCCCAGGGAGGTGG TAGTCCTGGGGCCCAGGGAGGTGGGGGCAGCTGA antisense ENST00000262262 CD33 866 185 50.82 CDS 1.502808587 0.35359116 -TCCTGGGGCCCAGGGAGGTG GTAGTCCTGGGGCCCAGGGAGGTGGGGGCAGCTG antisense ENST00000262262 CD33 867 185 50.82 CDS 1.347969254 0.337016575 -GTCCTGGGGCCCAGGGAGGT AGTAGTCCTGGGGCCCAGGGAGGTGGGGGCAGCT antisense ENST00000262262 CD33 868 186 51.1 CDS 1.471077091 0.348066298 -GTCAGCTGCCCCCACCTCCC GGTTGTCAGCTGCCCCCACCTCCCTGGGCCCCAG sense ENST00000262262 CD33 869 186 51.1 CDS 1.266770201 0.309392265 -AGTCCTGGGGCCCAGGGAGG GAGTAGTCCTGGGGCCCAGGGAGGTGGGGGCAGC antisense ENST00000262262 CD33 869 186 51.1 CDS -0.528944496 0.033149171 -TCAGCTGCCCCCACCTCCCT GTTGTCAGCTGCCCCCACCTCCCTGGGCCCCAGG sense ENST00000262262 CD33 870 186 51.1 CDS 1.990926627 0.436464088 -AGTAGTCCTGGGGCCCAGGG AGTGAGTAGTCCTGGGGCCCAGGGAGGTGGGGGC antisense ENST00000262262 CD33 872 187 51.37 CDS 2.138366558 0.508287293 -GTGAGTAGTCCTGGGGCCCA AGGAGTGAGTAGTCCTGGGGCCCAGGGAGGTGGG antisense ENST00000262262 CD33 875 188 51.65 CDS 2.775429553 0.861878453 -AGTGAGTAGTCCTGGGGCCC GAGGAGTGAGTAGTCCTGGGGCCCAGGGAGGTGG antisense ENST00000262262 CD33 876 188 51.65 CDS 1.321943787 0.331491713 -CCCCCACCTCCCTGGGCCCC GCTGCCCCCACCTCCCTGGGCCCCAGGACTACTC sense ENST00000262262 CD33 877 189 51.92 CDS 1.27858522 0.325966851 -CCGAGGAGTGAGTAGTCCTG AGCACCGAGGAGTGAGTAGTCCTGGGGCCCAGGG antisense ENST00000262262 CD33 882 190 52.2 CDS 2.710288914 0.817679558 -ACCGAGGAGTGAGTAGTCCT GAGCACCGAGGAGTGAGTAGTCCTGGGGCCCAGG antisense ENST00000262262 CD33 883 191 52.47 CDS 2.616327 0.767955801 -CACCGAGGAGTGAGTAGTCC TGAGCACCGAGGAGTGAGTAGTCCTGGGGCCCAG antisense ENST00000262262 CD33 884 191 52.47 CDS 2.353084226 0.624309392 -CCCCAGGACTACTCACTCCT TGGGCCCCAGGACTACTCACTCCTCGGTGCTCAT sense ENST00000262262 CD33 893 194 53.3 CDS 2.832297015 0.895027624 -TGGGGTGATTATGAGCACCG GCCGTGGGGTGATTATGAGCACCGAGGAGTGAGT antisense ENST00000262262 CD33 899 196 53.85 CDS 3.003326798 0.988950276 -CGGTGCTCATAATCACCCCA TCCTCGGTGCTCATAATCACCCCACGGCCCCAGG sense ENST00000262262 CD33 913 201 55.22 CDS 2.853326127 0.906077348 -GCCGTGGTCCTGGGGCCGTG TGGTGCCGTGGTCCTGGGGCCGTGGGGTGATTAT antisense ENST00000262262 CD33 917 202 55.49 CDS 2.827241898 0.889502762 -TGCCGTGGTCCTGGGGCCGT TTGGTGCCGTGGTCCTGGGGCCGTGGGGTGATTA antisense ENST00000262262 CD33 918 202 55.49 CDS 2.370927006 0.640883978 -GTGCCGTGGTCCTGGGGCCG GTTGGTGCCGTGGTCCTGGGGCCGTGGGGTGATT antisense ENST00000262262 CD33 919 203 55.77 CDS 0.188522523 0.099447514 -CATAATCACCCCACGGCCCC TGCTCATAATCACCCCACGGCCCCAGGACCACGG sense ENST00000262262 CD33 920 203 55.77 CDS 2.441829146 0.690607735 -AGGTTGGTGCCGTGGTCCTG GGTCAGGTTGGTGCCGTGGTCCTGGGGCCGTGGG antisense ENST00000262262 CD33 925 205 56.32 CDS 2.484441042 0.70718232 -CAGGTTGGTGCCGTGGTCCT AGGTCAGGTTGGTGCCGTGGTCCTGGGGCCGTGG antisense ENST00000262262 CD33 926 205 56.32 CDS 1.752414029 0.408839779 -TCAGGTTGGTGCCGTGGTCC CAGGTCAGGTTGGTGCCGTGGTCCTGGGGCCGTG antisense ENST00000262262 CD33 927 205 56.32 CDS 2.197153222 0.552486188 -ACCCCACGGCCCCAGGACCA AATCACCCCACGGCCCCAGGACCACGGCACCAAC sense ENST00000262262 CD33 927 205 56.32 CDS 2.26023347 0.585635359 -GACAGGTCAGGTTGGTGCCG ACCTGACAGGTCAGGTTGGTGCCGTGGTCCTGGG antisense ENST00000262262 CD33 933 207 56.87 CDS 2.515010626 0.723756906 -CTTCACCTGACAGGTCAGGT CGAACTTCACCTGACAGGTCAGGTTGGTGCCGTG antisense ENST00000262262 CD33 941 210 57.69 CDS 2.235660991 0.569060773 -CGAACTTCACCTGACAGGTC CCAGCGAACTTCACCTGACAGGTCAGGTTGGTGC antisense ENST00000262262 CD33 945 211 57.97 CDS 2.748220895 0.845303867 -CGGCACCAACCTGACCTGTC ACCACGGCACCAACCTGACCTGTCAGGTGAAGTT sense ENST00000262262 CD33 947 212 58.24 CDS 2.208555122 0.55801105 -TCCAGCGAACTTCACCTGAC CAGCTCCAGCGAACTTCACCTGACAGGTCAGGTT antisense ENST00000262262 CD33 950 213 58.52 CDS 2.39325542 0.64640884 -ACCTGTCAGGTGAAGTTCGC CCTGACCTGTCAGGTGAAGTTCGCTGGAGCTGGT sense ENST00000262262 CD33 960 216 59.34 CDS 2.005456126 0.447513812 -CAGGTGAAGTTCGCTGGAGC CTGTCAGGTGAAGTTCGCTGGAGCTGGTGTGACT sense ENST00000262262 CD33 966 218 59.89 CDS 0.828013477 0.259668508 -CGCTGGAGCTGGTGTGACTA AGTTCGCTGGAGCTGGTGTGACTACGGAGAGAAC sense ENST00000262262 CD33 977 222 60.99 CDS -0.242528007 0.077348066 -ACAGGTGACGTTGAGCTGGA ACTTACAGGTGACGTTGAGCTGGATGGTTCTCTC antisense ENST00000262262 CD33 995 228 62.64 CDS 2.62444784 0.773480663 -ACTTACAGGTGACGTTGAGC CAGCACTTACAGGTGACGTTGAGCTGGATGGTTC antisense ENST00000262262 CD33 999 229 62.91 CDS 2.137891807 0.502762431 -TTGGGTTCTGTGGAACATCT GTTGTTGGGTTCTGTGGAACATCTAGGAGAGGAA antisense ENST00000262262 CD33 1238 233 64.01 CDS 0.650866385 0.209944751 -ATACCAGTTGTTGGGTTCTG AAAGATACCAGTTGTTGGGTTCTGTGGAACATCT antisense ENST00000262262 CD33 1248 237 65.11 CDS 0.561155526 0.187845304 -GTTCCACAGAACCCAACAAC AGATGTTCCACAGAACCCAACAACTGGTATCTTT sense ENST00000262262 CD33 1256 239 65.66 CDS 0.390100398 0.143646409 -CTGGAAAGATACCAGTTGTT TCTCCTGGAAAGATACCAGTTGTTGGGTTCTGTG antisense ENST00000262262 CD33 1256 239 65.66 CDS 0.2909707 0.110497238 -CCTGGAAAGATACCAGTTGT ATCTCCTGGAAAGATACCAGTTGTTGGGTTCTGT antisense ENST00000262262 CD33 1257 240 65.93 CDS 0.566255872 0.193370166 -CCAACAACTGGTATCTTTCC GAACCCAACAACTGGTATCTTTCCAGGAGATGGC sense ENST00000262262 CD33 1268 243 66.76 CDS 0.838676437 0.26519337 -TTCCTACCTGAGCCATCTCC CTCCTTCCTACCTGAGCCATCTCCTGGAAAGATA antisense ENST00000262262 CD33 1275 246 67.58 CDS 1.730904134 0.397790055 -ATCTTTCCAGGAGATGGCTC TGGTATCTTTCCAGGAGATGGCTCAGGTAGGAAG sense ENST00000262262 CD33 1280 247 67.86 CDS 0.669675902 0.220994475 -TTCCAGGAGATGGCTCAGGT ATCTTTCCAGGAGATGGCTCAGGTAGGAAGGAGC sense ENST00000262262 CD33 1284 249 68.41 CDS 0.242307107 0.104972376 -GGGAAACAAGAGACCAGAGC TGCAGGGAAACAAGAGACCAGAGCAGGAGTGGTT sense ENST00000262262 CD33 10100 254 69.78 CDS 2.308249852 0.607734807 -ACAAGAGACCAGAGCAGGAG GGAAACAAGAGACCAGAGCAGGAGTGGTTCATGG sense ENST00000262262 CD33 10105 256 70.33 CDS 1.273588768 0.320441989 -ACCAGAGCAGGAGTGGTTCA AGAGACCAGAGCAGGAGTGGTTCATGGGGCCATT sense ENST00000262262 CD33 10112 258 70.88 CDS 2.146693283 0.519337017 -CCAGAGCAGGAGTGGTTCAT GAGACCAGAGCAGGAGTGGTTCATGGGGCCATTG sense ENST00000262262 CD33 10113 259 71.15 CDS 1.271583087 0.314917127 -CAGAGCAGGAGTGGTTCATG AGACCAGAGCAGGAGTGGTTCATGGGGCCATTGG sense ENST00000262262 CD33 10114 259 71.15 CDS 2.656992911 0.790055249 -GGAGTGGTTCATGGGGCCAT AGCAGGAGTGGTTCATGGGGCCATTGGAGGAGCT sense ENST00000262262 CD33 10121 261 71.7 CDS 2.414715238 0.668508287 -GTGGTTCATGGGGCCATTGG AGGAGTGGTTCATGGGGCCATTGGAGGAGCTGGT sense ENST00000262262 CD33 10124 262 71.98 CDS 2.603592816 0.762430939 -TGTAACACCAGCTCCTCCAA GGGCTGTAACACCAGCTCCTCCAATGGCCCCATG antisense ENST00000262262 CD33 10126 263 72.25 CDS 2.470822883 0.701657459 -CATGGGGCCATTGGAGGAGC GGTTCATGGGGCCATTGGAGGAGCTGGTGTTACA sense ENST00000262262 CD33 10130 264 72.53 CDS 2.032568945 0.458563536 -GCAGAGACAAAGAGCGAGCA TGAGGCAGAGACAAAGAGCGAGCAGGGCTGTAAC antisense ENST00000262262 CD33 10150 271 74.45 CDS 2.493078405 0.718232044 -GGCAGAGACAAAGAGCGAGC ATGAGGCAGAGACAAAGAGCGAGCAGGGCTGTAA antisense ENST00000262262 CD33 10151 271 74.45 CDS 2.306951573 0.602209945 -ATGCTCACATGAAGAAGATG GAAAATGCTCACATGAAGAAGATGAGGCAGAGAC antisense ENST00000262262 CD33 10172 278 76.37 CDS 1.898682897 0.425414365 -CCATCAGAGTGAAGACCCAC TCTCCCATCAGAGTGAAGACCCACAGGAGGAAAG sense ENST00000262262 CD33 10532 285 78.3 CDS 2.402963121 0.662983425 -CCTGGCTGCTTTCCTCCTGT CTGTCCTGGCTGCTTTCCTCCTGTGGGTCTTCAC antisense ENST00000262262 CD33 10536 286 78.57 CDS 2.130435897 0.491712707 -TCCTGGCTGCTTTCCTCCTG GCTGTCCTGGCTGCTTTCCTCCTGTGGGTCTTCA antisense ENST00000262262 CD33 10537 286 78.57 CDS 1.593575981 0.38121547 -CCCACAGGAGGAAAGCAGCC AAGACCCACAGGAGGAAAGCAGCCAGGACAGCAG sense ENST00000262262 CD33 10547 290 79.67 CDS 0.312704607 0.127071823 -ATTCCTGCCCACTGCTGTCC TGTCATTCCTGCCCACTGCTGTCCTGGCTGCTTT antisense ENST00000262262 CD33 10554 292 80.22 CDS 0.298316879 0.121546961 -GAAAGCAGCCAGGACAGCAG GGAGGAAAGCAGCCAGGACAGCAGTGGGCAGGAA sense ENST00000262262 CD33 10557 293 80.49 CDS 0.808982596 0.254143646 -AAAGCAGCCAGGACAGCAGT GAGGAAAGCAGCCAGGACAGCAGTGGGCAGGAAT sense ENST00000262262 CD33 10558 293 80.49 CDS 1.522607025 0.370165746 -CAGCCAGGACAGCAGTGGGC AAAGCAGCCAGGACAGCAGTGGGCAGGAATGACA sense ENST00000262262 CD33 10562 295 81.04 CDS 1.462399106 0.342541436 -GGCTGACCCTGTGGTAGGGT GGGAGGCTGACCCTGTGGTAGGGTGGGTGTCATT antisense ENST00000262262 CD33 10581 301 82.69 CDS 0.710074878 0.237569061 -AGGCTGACCCTGTGGTAGGG GGGGAGGCTGACCCTGTGGTAGGGTGGGTGTCAT antisense ENST00000262262 CD33 10582 301 82.69 CDS -0.269628466 0.071823204 -AATGACACCCACCCTACCAC CAGGAATGACACCCACCCTACCACAGGGTCAGCC sense ENST00000262262 CD33 10585 302 82.97 CDS 1.096308134 0.276243094 -GGGAGGCTGACCCTGTGGTA ACCGGGGAGGCTGACCCTGTGGTAGGGTGGGTGT antisense ENST00000262262 CD33 10585 302 82.97 CDS 0.413563282 0.149171271 -GGGGAGGCTGACCCTGTGGT CACCGGGGAGGCTGACCCTGTGGTAGGGTGGGTG antisense ENST00000262262 CD33 10586 303 83.24 CDS 0.538719054 0.17679558 -ATGACACCCACCCTACCACA AGGAATGACACCCACCCTACCACAGGGTCAGCCT sense ENST00000262262 CD33 10586 303 83.24 CDS 1.221186992 0.287292818 -CACCGGGGAGGCTGACCCTG CACTCACCGGGGAGGCTGACCCTGTGGTAGGGTG antisense ENST00000262262 CD33 10590 304 83.52 CDS 0.574690129 0.198895028 -TACCACAGGGTCAGCCTCCC ACCCTACCACAGGGTCAGCCTCCCCGGTGAGTGA sense ENST00000262262 CD33 10599 307 84.34 CDS 0.516120158 0.171270718 -TGCCCCATCACTCACCGGGG AGGATGCCCCATCACTCACCGGGGAGGCTGACCC antisense ENST00000262262 CD33 10602 308 84.62 CDS 1.998146689 0.44198895 -TTCAGTGGGGCCATGTAACT AGGTTTCAGTGGGGCCATGTAACTTGGACTTCTT antisense ENST00000262262 CD33 14467 316 86.81 CDS -0.378418732 0.055248619 -AACAGCTTGAGGTTTCAGTG CCTGAACAGCTTGAGGTTTCAGTGGGGCCATGTA antisense ENST00000262262 CD33 14480 320 87.91 CDS 0.67559954 0.226519337 -GAACAGCTTGAGGTTTCAGT ACCTGAACAGCTTGAGGTTTCAGTGGGGCCATGT antisense ENST00000262262 CD33 14481 321 88.19 CDS 0.697447577 0.232044199 -TGAACAGCTTGAGGTTTCAG CACCTGAACAGCTTGAGGTTTCAGTGGGGCCATG antisense ENST00000262262 CD33 14482 321 88.19 CDS 1.25351554 0.303867403 -GGCGGCACCTGAACAGCTTG TAGGGGCGGCACCTGAACAGCTTGAGGTTTCAGT antisense ENST00000262262 CD33 14491 324 89.01 CDS 0.735487897 0.243093923 -ACTGAAACCTCAAGCTGTTC CCCCACTGAAACCTCAAGCTGTTCAGGTGCCGCC sense ENST00000262262 CD33 14495 325 89.29 CDS -0.467669679 0.044198895 -ATCCATCTCCACAGTAGGGG CCTCATCCATCTCCACAGTAGGGGCGGCACCTGA antisense ENST00000262262 CD33 14509 330 90.66 CDS 1.095683811 0.270718232 -CTCATCCATCTCCACAGTAG GCTCCTCATCCATCTCCACAGTAGGGGCGGCACC antisense ENST00000262262 CD33 14512 331 90.93 CDS 0.504945236 0.165745856 -TTCAGGTGCCGCCCCTACTG GCTGTTCAGGTGCCGCCCCTACTGTGGAGATGGA sense ENST00000262262 CD33 14512 331 90.93 CDS 0.338773271 0.138121547 -CCTCATCCATCTCCACAGTA AGCTCCTCATCCATCTCCACAGTAGGGGCGGCAC antisense ENST00000262262 CD33 14513 331 90.93 CDS -0.388081749 0.049723757 -TCCTCATCCATCTCCACAGT CAGCTCCTCATCCATCTCCACAGTAGGGGCGGCA antisense ENST00000262262 CD33 14514 332 91.21 CDS 0.00061183 0.093922652 -TGCCGCCCCTACTGTGGAGA CAGGTGCCGCCCCTACTGTGGAGATGGATGAGGA sense ENST00000262262 CD33 14518 333 91.48 CDS -0.337810837 0.066298343 -CCCTACTGTGGAGATGGATG CCGCCCCTACTGTGGAGATGGATGAGGAGCTGCA sense ENST00000262262 CD33 14524 335 92.03 CDS 0.484304073 0.154696133 -ATTCATCCCATGAAAGTTGA AAGGATTCATCCCATGAAAGTTGAGGGAAGCATA antisense ENST00000262262 CD33 14551 344 94.51 CDS -0.553167606 0.022099448 -GATTCATCCCATGAAAGTTG GAAGGATTCATCCCATGAAAGTTGAGGGAAGCAT antisense ENST00000262262 CD33 14552 344 94.51 CDS -0.03229906 0.082872928 -TATGCTTCCCTCAACTTTCA GCATTATGCTTCCCTCAACTTTCATGGGATGAAT sense ENST00000262262 CD33 14555 345 94.78 CDS -1.293559068 0.005524862 -ATGCTTCCCTCAACTTTCAT CATTATGCTTCCCTCAACTTTCATGGGATGAATC sense ENST00000262262 CD33 14556 346 95.05 CDS -0.95748749 0.011049724 -TCATGGGATGAATCCTTCCA ACTTTCATGGGATGAATCCTTCCAAGGACACCTC sense ENST00000262262 CD33 14572 351 96.43 CDS 0.780849333 0.248618785 -GACGCTGATGGCTGGGTTCA GAGCGACGCTGATGGCTGGGTTCATGGTGCCAAG antisense ENSMUST00000114840 THY1 2628 2 1.23 CDS 4.00674496 0.2 -GGAGAGCGACGCTGATGGCT AGCAGGAGAGCGACGCTGATGGCTGGGTTCATGG antisense ENSMUST00000114840 THY1 2635 4 2.47 CDS 4.923879996 0.6 -AGGAGAGCGACGCTGATGGC GAGCAGGAGAGCGACGCTGATGGCTGGGTTCATG antisense ENSMUST00000114840 THY1 2636 5 3.09 CDS 2.715816862 0.08 -GAGCAGGAGAGCGACGCTGA CTGAGAGCAGGAGAGCGACGCTGATGGCTGGGTT antisense ENSMUST00000114840 THY1 2640 6 3.7 CDS 4.719276995 0.453333333 -AGCGTCGCTCTCCTGCTCTC CATCAGCGTCGCTCTCCTGCTCTCAGGTACTGGG sense ENSMUST00000114840 THY1 2656 11 6.79 CDS 4.059619674 0.213333333 -CTTGCCCAGTACCTGAGAGC GACCCTTGCCCAGTACCTGAGAGCAGGAGAGCGA antisense ENSMUST00000114840 THY1 2656 11 6.79 CDS 4.97792331 0.653333333 -CCTCGGGACACCTGCAAGAC CTGCCCTCGGGACACCTGCAAGACTGGCACAGCA antisense ENSMUST00000114840 THY1 3258 14 8.64 CDS 4.720717294 0.466666667 -CACTGCTGTGCCAGTCTTGC AAGGCACTGCTGTGCCAGTCTTGCAGGTGTCCCG sense ENSMUST00000114840 THY1 3259 14 8.64 CDS 0.312271169 0.013333333 -CCAGTCTTGCAGGTGTCCCG TGTGCCAGTCTTGCAGGTGTCCCGAGGGCAGAAG sense ENSMUST00000114840 THY1 3269 17 10.49 CDS 5.197520626 0.866666667 -CAGTCTTGCAGGTGTCCCGA GTGCCAGTCTTGCAGGTGTCCCGAGGGCAGAAGG sense ENSMUST00000114840 THY1 3270 18 11.11 CDS 5.175443117 0.826666667 -GCTGGTCACCTTCTGCCCTC TCAGGCTGGTCACCTTCTGCCCTCGGGACACCTG antisense ENSMUST00000114840 THY1 3274 19 11.73 CDS 4.89390655 0.586666667 -GGCTGGTCACCTTCTGCCCT GTCAGGCTGGTCACCTTCTGCCCTCGGGACACCT antisense ENSMUST00000114840 THY1 3275 19 11.73 CDS 3.86260407 0.16 -GCAGGTGTCCCGAGGGCAGA TCTTGCAGGTGTCCCGAGGGCAGAAGGTGACCAG sense ENSMUST00000114840 THY1 3277 20 12.35 CDS 5.050842795 0.733333333 -CACCAGGCAGGCTGTCAGGC GGTTCACCAGGCAGGCTGTCAGGCTGGTCACCTT antisense ENSMUST00000114840 THY1 3292 25 15.43 CDS 4.660754506 0.4 -GGTTCACCAGGCAGGCTGTC TTTTGGTTCACCAGGCAGGCTGTCAGGCTGGTCA antisense ENSMUST00000114840 THY1 3296 26 16.05 CDS 3.940560727 0.186666667 -GACCAGCCTGACAGCCTGCC AGGTGACCAGCCTGACAGCCTGCCTGGTGAACCA sense ENSMUST00000114840 THY1 3301 28 17.28 CDS 5.117221942 0.813333333 -GGCAGTCCAGGCGAAGGTTT TGGCGGCAGTCCAGGCGAAGGTTTTGGTTCACCA antisense ENSMUST00000114840 THY1 3317 33 20.37 CDS 4.149494066 0.253333333 -GGTGAACCAAAACCTTCGCC GCCTGGTGAACCAAAACCTTCGCCTGGACTGCCG sense ENSMUST00000114840 THY1 3322 35 21.6 CDS 4.149291619 0.24 -CATGGCGGCAGTCCAGGCGA TTCTCATGGCGGCAGTCCAGGCGAAGGTTTTGGT antisense ENSMUST00000114840 THY1 3323 35 21.6 CDS 5.322112937 0.96 -TATTCTCATGGCGGCAGTCC GTGTTATTCTCATGGCGGCAGTCCAGGCGAAGGT antisense ENSMUST00000114840 THY1 3329 37 22.84 CDS 4.815419541 0.493333333 -CCTTGGTGTTATTCTCATGG TTATCCTTGGTGTTATTCTCATGGCGGCAGTCCA antisense ENSMUST00000114840 THY1 3338 40 24.69 CDS 5.280821239 0.906666667 -TATCCTTGGTGTTATTCTCA GAGTTATCCTTGGTGTTATTCTCATGGCGGCAGT antisense ENSMUST00000114840 THY1 3341 41 25.31 CDS 4.84714799 0.52 -CCGCCATGAGAATAACACCA ACTGCCGCCATGAGAATAACACCAAGGATAACTC sense ENSMUST00000114840 THY1 3349 44 27.16 CDS 5.073049363 0.773333333 -ATGCTGGATGGAGTTATCCT ACTCATGCTGGATGGAGTTATCCTTGGTGTTATT antisense ENSMUST00000114840 THY1 3355 46 28.4 CDS 4.255251465 0.306666667 -CAGGCTGAACTCATGCTGGA GGGTCAGGCTGAACTCATGCTGGATGGAGTTATC antisense ENSMUST00000114840 THY1 3367 50 30.86 CDS 4.715580393 0.44 -GGGTCAGGCTGAACTCATGC TCTCGGGTCAGGCTGAACTCATGCTGGATGGAGT antisense ENSMUST00000114840 THY1 3371 51 31.48 CDS 5.178834884 0.84 -GCTTCCTCTTCTCTCGGGTC ACGTGCTTCCTCTTCTCTCGGGTCAGGCTGAACT antisense ENSMUST00000114840 THY1 3386 56 34.57 CDS 4.973127274 0.64 -CACGTGCTTCCTCTTCTCTC AGAGCACGTGCTTCCTCTTCTCTCGGGTCAGGCT antisense ENSMUST00000114840 THY1 3391 58 35.8 CDS 4.688652531 0.413333333 -GCACGTGCTTCCTCTTCTCT GAGAGCACGTGCTTCCTCTTCTCTCGGGTCAGGC antisense ENSMUST00000114840 THY1 3392 58 35.8 CDS 1.664942645 0.04 -TCAGCCTGACCCGAGAGAAG GAGTTCAGCCTGACCCGAGAGAAGAGGAAGCACG sense ENSMUST00000114840 THY1 3393 59 36.42 CDS 5.061718551 0.76 -AAGAGGAAGCACGTGCTCTC AGAGAAGAGGAAGCACGTGCTCTCAGGCACCCTT sense ENSMUST00000114840 THY1 3410 64 39.51 CDS 4.224299303 0.28 -CACGTGCTCTCAGGCACCCT GAAGCACGTGCTCTCAGGCACCCTTGGGATACCC sense ENSMUST00000114840 THY1 3419 67 41.36 CDS 4.225750351 0.293333333 -ACGTGCTCTCAGGCACCCTT AAGCACGTGCTCTCAGGCACCCTTGGGATACCCG sense ENSMUST00000114840 THY1 3420 68 41.98 CDS 4.807452881 0.48 -CGTGTGCTCGGGTATCCCAA GGTACGTGTGCTCGGGTATCCCAAGGGTGCCTGA antisense ENSMUST00000114840 THY1 3424 69 42.59 CDS 5.323124496 0.973333333 -ACGTGTGCTCGGGTATCCCA CGGTACGTGTGCTCGGGTATCCCAAGGGTGCCTG antisense ENSMUST00000114840 THY1 3425 69 42.59 CDS 4.844630584 0.506666667 -CGGGAGCGGTACGTGTGCTC GACGCGGGAGCGGTACGTGTGCTCGGGTATCCCA antisense ENSMUST00000114840 THY1 3435 73 45.06 CDS 4.853270336 0.533333333 -GCGGGAGCGGTACGTGTGCT TGACGCGGGAGCGGTACGTGTGCTCGGGTATCCC antisense ENSMUST00000114840 THY1 3436 73 45.06 CDS 3.898273732 0.173333333 -TGGAGAGGGTGACGCGGGAG TGGTTGGAGAGGGTGACGCGGGAGCGGTACGTGT antisense ENSMUST00000114840 THY1 3449 77 47.53 CDS 4.218772682 0.266666667 -CTGGTTGGAGAGGGTGACGC AGGGCTGGTTGGAGAGGGTGACGCGGGAGCGGTA antisense ENSMUST00000114840 THY1 3454 79 48.77 CDS 5.210664484 0.88 -GCTGGTTGGAGAGGGTGACG TAGGGCTGGTTGGAGAGGGTGACGCGGGAGCGGT antisense ENSMUST00000114840 THY1 3455 79 48.77 CDS 4.114103408 0.226666667 -GATATAGGGCTGGTTGGAGA CCTTGATATAGGGCTGGTTGGAGAGGGTGACGCG antisense ENSMUST00000114840 THY1 3463 82 50.62 CDS 5.398905019 1 -TGATATAGGGCTGGTTGGAG ACCTTGATATAGGGCTGGTTGGAGAGGGTGACGC antisense ENSMUST00000114840 THY1 3464 82 50.62 CDS 5.022556044 0.693333333 -GACCTTGATATAGGGCTGGT TAAGGACCTTGATATAGGGCTGGTTGGAGAGGGT antisense ENSMUST00000114840 THY1 3469 84 51.85 CDS 4.321771324 0.346666667 -TAAGGACCTTGATATAGGGC AGGGTAAGGACCTTGATATAGGGCTGGTTGGAGA antisense ENSMUST00000114840 THY1 3473 85 52.47 CDS 4.887392905 0.573333333 -AGGGTAAGGACCTTGATATA GGCTAGGGTAAGGACCTTGATATAGGGCTGGTTG antisense ENSMUST00000114840 THY1 3477 87 53.7 CDS 5.058220435 0.746666667 -CTCCAACCAGCCCTATATCA CCCTCTCCAACCAGCCCTATATCAAGGTCCTTAC sense ENSMUST00000114840 THY1 3478 87 53.7 CDS 4.385315884 0.36 -TAGGGTAAGGACCTTGATAT TGGCTAGGGTAAGGACCTTGATATAGGGCTGGTT antisense ENSMUST00000114840 THY1 3478 87 53.7 CDS 4.971303918 0.626666667 -TGGTGAAGTTGGCTAGGGTA TTGGTGGTGAAGTTGGCTAGGGTAAGGACCTTGA antisense ENSMUST00000114840 THY1 3491 91 56.17 CDS 5.310405835 0.946666667 -CTTGGTGGTGAAGTTGGCTA CATCCTTGGTGGTGAAGTTGGCTAGGGTAAGGAC antisense ENSMUST00000114840 THY1 3496 93 57.41 CDS 5.325482021 0.986666667 -CCTTGGTGGTGAAGTTGGCT TCATCCTTGGTGGTGAAGTTGGCTAGGGTAAGGA antisense ENSMUST00000114840 THY1 3497 93 57.41 CDS 5.035236903 0.706666667 -CTCATCCTTGGTGGTGAAGT CGCCCTCATCCTTGGTGGTGAAGTTGGCTAGGGT antisense ENSMUST00000114840 THY1 3502 95 58.64 CDS 4.714501265 0.426666667 -CCTAGCCAACTTCACCACCA TTACCCTAGCCAACTTCACCACCAAGGATGAGGG sense ENSMUST00000114840 THY1 3508 97 59.88 CDS 5.292868169 0.933333333 -GTAGTCGCCCTCATCCTTGG AAAAGTAGTCGCCCTCATCCTTGGTGGTGAAGTT antisense ENSMUST00000114840 THY1 3511 98 60.49 CDS 4.96019389 0.613333333 -CAACTTCACCACCAAGGATG TAGCCAACTTCACCACCAAGGATGAGGGCGACTA sense ENSMUST00000114840 THY1 3514 99 61.11 CDS 5.102590381 0.8 -AAAGTAGTCGCCCTCATCCT CACAAAAGTAGTCGCCCTCATCCTTGGTGGTGAA antisense ENSMUST00000114840 THY1 3514 99 61.11 CDS 4.980515637 0.666666667 -AACTTCACCACCAAGGATGA AGCCAACTTCACCACCAAGGATGAGGGCGACTAC sense ENSMUST00000114840 THY1 3515 99 61.11 CDS 5.232784904 0.893333333 -AAAAGTATCAGTGTGTATAG CAATAAAAGTATCAGTGTGTATAGAGGTGAGACT sense ENSMUST00000114840 THY1 3590 124 76.54 CDS 5.043166835 0.72 -ACACTTGACCAGCTTGTCTG CGCCACACTTGACCAGCTTGTCTGTGGATAGAGA antisense ENSMUST00000114840 THY1 3981 126 77.78 I/CDS 5.182958613 0.853333333 -TTCTCTATCCACAGACAAGC CCCCTTCTCTATCCACAGACAAGCTGGTCAAGTG sense ENSMUST00000114840 THY1 3984 127 78.4 CDS 4.877659701 0.546666667 -ACAGACAAGCTGGTCAAGTG ATCCACAGACAAGCTGGTCAAGTGTGGCGGCATA sense ENSMUST00000114840 THY1 3994 130 80.25 CDS 5.005777868 0.68 -GACAAGCTGGTCAAGTGTGG CACAGACAAGCTGGTCAAGTGTGGCGGCATAAGC sense ENSMUST00000114840 THY1 3997 131 80.86 CDS 5.290138701 0.92 -GTGTGGCGGCATAAGCCTGC TCAAGTGTGGCGGCATAAGCCTGCTGGTTCAGAA sense ENSMUST00000114840 THY1 4011 136 83.95 CDS 4.882786931 0.56 -AGGATGTGTTCTGAACCAGC ATCCAGGATGTGTTCTGAACCAGCAGGCTTATGC antisense ENSMUST00000114840 THY1 4015 137 84.57 CDS 5.093634554 0.786666667 -TGCTGGTTCAGAACACATCC AGCCTGCTGGTTCAGAACACATCCTGGATGCTGC sense ENSMUST00000114840 THY1 4028 142 87.65 CDS 4.564159627 0.386666667 -AAGCAGCAGCAGCAGCATCC GGGAAAGCAGCAGCAGCAGCATCCAGGATGTGTT antisense ENSMUST00000114840 THY1 4035 144 88.89 CDS 4.401166107 0.373333333 -CAGGGCTTGGAGGAGGGAGA AGTCCAGGGCTTGGAGGAGGGAGAGGGAAAGCAG antisense ENSMUST00000114840 THY1 4059 152 93.83 CDS 3.422361113 0.146666667 -CCAGGGCTTGGAGGAGGGAG AAGTCCAGGGCTTGGAGGAGGGAGAGGGAAAGCA antisense ENSMUST00000114840 THY1 4060 152 93.83 CDS 2.276742195 0.053333333 -GAAGTCCAGGGCTTGGAGGA AAATGAAGTCCAGGGCTTGGAGGAGGGAGAGGGA antisense ENSMUST00000114840 THY1 4065 154 95.06 CDS 4.31374351 0.333333333 -TGAAGTCCAGGGCTTGGAGG GAAATGAAGTCCAGGGCTTGGAGGAGGGAGAGGG antisense ENSMUST00000114840 THY1 4066 154 95.06 CDS 4.27909481 0.32 -AAATGAAGTCCAGGGCTTGG AGAGAAATGAAGTCCAGGGCTTGGAGGAGGGAGA antisense ENSMUST00000114840 THY1 4069 155 95.68 CDS 2.598349173 0.066666667 -CCTCTCCCTCCTCCAAGCCC TTTCCCTCTCCCTCCTCCAAGCCCTGGACTTCAT sense ENSMUST00000114840 THY1 4071 156 96.3 CDS 3.404138396 0.133333333 -GAGAAATGAAGTCCAGGGCT CACAGAGAAATGAAGTCCAGGGCTTGGAGGAGGG antisense ENSMUST00000114840 THY1 4072 156 96.3 CDS 3.012226481 0.106666667 -TCACAGAGAAATGAAGTCCA CCAGTCACAGAGAAATGAAGTCCAGGGCTTGGAG antisense ENSMUST00000114840 THY1 4077 158 97.53 CDS 3.238343419 0.12 -GTCACAGAGAAATGAAGTCC ACCAGTCACAGAGAAATGAAGTCCAGGGCTTGGA antisense ENSMUST00000114840 THY1 4078 158 97.53 CDS 2.882213912 0.093333333 -GGACTTCATTTCTCTGTGAC CCCTGGACTTCATTTCTCTGTGACTGGTTGGGCC sense ENSMUST00000114840 THY1 4092 CDS 0.940591829 0.026666667 -AATATAGAAGCCCTTGGCCA TGGAAATATAGAAGCCCTTGGCCATGGTGATGGT antisense ENST00000300060 CD13 8310 2 0.21 CDS 1.34697024 0.632967033 -CCCACCATCACCATGGCCAA CCTCCCCACCATCACCATGGCCAAGGGCTTCTAT sense ENST00000300060 CD13 8311 2 0.21 CDS 1.788285981 0.806593407 -CTTGGAAATATAGAAGCCCT GGGACTTGGAAATATAGAAGCCCTTGGCCATGGT antisense ENST00000300060 CD13 8316 4 0.41 CDS 1.584490354 0.727472527 -CCCCAGGATGCCCAGGGACT GGATCCCCAGGATGCCCAGGGACTTGGAAATATA antisense ENST00000300060 CD13 8334 10 1.03 CDS -0.94087959 0.123076923 -CTTCTATATTTCCAAGTCCC AGGGCTTCTATATTTCCAAGTCCCTGGGCATCCT sense ENST00000300060 CD13 8334 10 1.03 CDS 0.43786351 0.369230769 -TTCTATATTTCCAAGTCCCT GGGCTTCTATATTTCCAAGTCCCTGGGCATCCTG sense ENST00000300060 CD13 8335 10 1.03 CDS 1.02265116 0.531868132 -GAGGATCCCCAGGATGCCCA CCAGGAGGATCCCCAGGATGCCCAGGGACTTGGA antisense ENST00000300060 CD13 8340 12 1.24 CDS 1.035129367 0.540659341 -GGAGGATCCCCAGGATGCCC CCCAGGAGGATCCCCAGGATGCCCAGGGACTTGG antisense ENST00000300060 CD13 8341 12 1.24 CDS 0.67940405 0.428571429 -TTCCAAGTCCCTGGGCATCC ATATTTCCAAGTCCCTGGGCATCCTGGGGATCCT sense ENST00000300060 CD13 8343 13 1.34 CDS -0.987232987 0.105494505 -TCCAAGTCCCTGGGCATCCT TATTTCCAAGTCCCTGGGCATCCTGGGGATCCTC sense ENST00000300060 CD13 8344 13 1.34 CDS -1.274153218 0.037362637 -CCAAGTCCCTGGGCATCCTG ATTTCCAAGTCCCTGGGCATCCTGGGGATCCTCC sense ENST00000300060 CD13 8345 14 1.45 CDS 0.261979643 0.340659341 -CCACGCCCAGGAGGATCCCC GCTGCCACGCCCAGGAGGATCCCCAGGATGCCCA antisense ENST00000300060 CD13 8350 15 1.55 CDS 0.214592848 0.325274725 -GGGCATCCTGGGGATCCTCC CCCTGGGCATCCTGGGGATCCTCCTGGGCGTGGC sense ENST00000300060 CD13 8355 17 1.76 CDS -1.373904914 0.015384615 -GGCATCCTGGGGATCCTCCT CCTGGGCATCCTGGGGATCCTCCTGGGCGTGGCA sense ENST00000300060 CD13 8356 17 1.76 CDS -0.304181624 0.221978022 -ACACGGCTGCCACGCCCAGG GTGCACACGGCTGCCACGCCCAGGAGGATCCCCA antisense ENST00000300060 CD13 8359 18 1.86 CDS 1.083250664 0.564835165 -CCTGGGGATCCTCCTGGGCG GCATCCTGGGGATCCTCCTGGGCGTGGCAGCCGT sense ENST00000300060 CD13 8361 19 1.96 CDS -1.214744276 0.054945055 -TGCACACGGCTGCCACGCCC ATTGTGCACACGGCTGCCACGCCCAGGAGGATCC antisense ENST00000300060 CD13 8362 19 1.96 CDS 1.551807214 0.718681319 -CAGTGCGATGATTGTGCACA CTGACAGTGCGATGATTGTGCACACGGCTGCCAC antisense ENST00000300060 CD13 8376 24 2.48 CDS 0.058792874 0.285714286 -CACAATCATCGCACTGTCAG TGTGCACAATCATCGCACTGTCAGTGGTGTACTC sense ENST00000300060 CD13 8394 30 3.1 CDS 0.231055932 0.32967033 -ACTGTCAGTGGTGTACTCCC TCGCACTGTCAGTGGTGTACTCCCAGGAGAAGAA sense ENST00000300060 CD13 8406 34 3.52 CDS 2.00604232 0.892307692 -GGCGTTCTTGTTCTTCTCCT TGTTGGCGTTCTTGTTCTTCTCCTGGGAGTACAC antisense ENST00000300060 CD13 8412 36 3.72 CDS 0.001518773 0.27032967 -TGGCGTTCTTGTTCTTCTCC CTGTTGGCGTTCTTGTTCTTCTCCTGGGAGTACA antisense ENST00000300060 CD13 8413 36 3.72 CDS -0.905668651 0.12967033 -GGAGGCCACGGGGGAGCTGT TGGTGGAGGCCACGGGGGAGCTGTTGGCGTTCTT antisense ENST00000300060 CD13 8433 43 4.45 CDS 0.812174583 0.468131868 -GAACGCCAACAGCTCCCCCG ACAAGAACGCCAACAGCTCCCCCGTGGCCTCCAC sense ENST00000300060 CD13 8439 45 4.65 CDS 0.934323825 0.503296703 -CGGGGTGGTGGAGGCCACGG CGGACGGGGTGGTGGAGGCCACGGGGGAGCTGTT antisense ENST00000300060 CD13 8442 46 4.76 CDS 0.637262562 0.408791209 -ACGGGGTGGTGGAGGCCACG GCGGACGGGGTGGTGGAGGCCACGGGGGAGCTGT antisense ENST00000300060 CD13 8443 46 4.76 CDS 1.307222403 0.624175824 -GACGGGGTGGTGGAGGCCAC GGCGGACGGGGTGGTGGAGGCCACGGGGGAGCTG antisense ENST00000300060 CD13 8444 47 4.86 CDS 0.514432069 0.384615385 -GGACGGGGTGGTGGAGGCCA AGGCGGACGGGGTGGTGGAGGCCACGGGGGAGCT antisense ENST00000300060 CD13 8445 47 4.86 CDS -0.938053593 0.125274725 -TGAGGCGGACGGGGTGGTGG TGGCTGAGGCGGACGGGGTGGTGGAGGCCACGGG antisense ENST00000300060 CD13 8451 49 5.07 CDS -0.484676121 0.197802198 -GGCTGAGGCGGACGGGGTGG TGGTGGCTGAGGCGGACGGGGTGGTGGAGGCCAC antisense ENST00000300060 CD13 8454 50 5.17 CDS -0.620561088 0.167032967 -GGTGGCTGAGGCGGACGGGG TGGTGGTGGCTGAGGCGGACGGGGTGGTGGAGGC antisense ENST00000300060 CD13 8457 51 5.27 CDS 0.067907959 0.287912088 -GGTGGTGGCTGAGGCGGACG GGTTGGTGGTGGCTGAGGCGGACGGGGTGGTGGA antisense ENST00000300060 CD13 8460 52 5.38 CDS 0.083887075 0.292307692 -TGGTGGTGGCTGAGGCGGAC GGGTTGGTGGTGGCTGAGGCGGACGGGGTGGTGG antisense ENST00000300060 CD13 8461 52 5.38 CDS -1.101300753 0.076923077 -TTGGTGGTGGCTGAGGCGGA GGGGTTGGTGGTGGCTGAGGCGGACGGGGTGGTG antisense ENST00000300060 CD13 8462 53 5.48 CDS -0.145513501 0.246153846 -GGGGTTGGTGGTGGCTGAGG AGGCGGGGTTGGTGGTGGCTGAGGCGGACGGGGT antisense ENST00000300060 CD13 8466 54 5.58 CDS 0.216347547 0.327472527 -GGCGGGGTTGGTGGTGGCTG CCGAGGCGGGGTTGGTGGTGGCTGAGGCGGACGG antisense ENST00000300060 CD13 8469 55 5.69 CDS -0.922555978 0.127472527 -GGCCGAGGCGGGGTTGGTGG TGGTGGCCGAGGCGGGGTTGGTGGTGGCTGAGGC antisense ENST00000300060 CD13 8475 57 5.89 CDS -0.052797177 0.263736264 -GGTGGCCGAGGCGGGGTTGG AGGTGGTGGCCGAGGCGGGGTTGGTGGTGGCTGA antisense ENST00000300060 CD13 8478 58 6 CDS -0.949467893 0.116483516 -GGTGGTGGCCGAGGCGGGGT CCAAGGTGGTGGCCGAGGCGGGGTTGGTGGTGGC antisense ENST00000300060 CD13 8481 59 6.1 CDS -0.341905521 0.217582418 -AGCCACCACCAACCCCGCCT CCTCAGCCACCACCAACCCCGCCTCGGCCACCAC sense ENST00000300060 CD13 8484 60 6.2 CDS -1.021475779 0.092307692 -CCAAGGTGGTGGCCGAGGCG TGGTCCAAGGTGGTGGCCGAGGCGGGGTTGGTGG antisense ENST00000300060 CD13 8485 60 6.2 CDS 0.645166807 0.415384615 -TCCAAGGTGGTGGCCGAGGC TTGGTCCAAGGTGGTGGCCGAGGCGGGGTTGGTG antisense ENST00000300060 CD13 8486 61 6.31 CDS -0.987282583 0.103296703 -GTCCAAGGTGGTGGCCGAGG TTTGGTCCAAGGTGGTGGCCGAGGCGGGGTTGGT antisense ENST00000300060 CD13 8487 61 6.31 CDS -0.063714301 0.261538462 -TTGGTCCAAGGTGGTGGCCG TACTTTGGTCCAAGGTGGTGGCCGAGGCGGGGTT antisense ENST00000300060 CD13 8490 62 6.41 CDS -1.01914515 0.094505495 -TTTACTTTGGTCCAAGGTGG ACGCTTTACTTTGGTCCAAGGTGGTGGCCGAGGC antisense ENST00000300060 CD13 8496 64 6.62 CDS 0.494998274 0.38021978 -CCCCGCCTCGGCCACCACCT CCAACCCCGCCTCGGCCACCACCTTGGACCAAAG sense ENST00000300060 CD13 8496 64 6.62 CDS -0.78173917 0.147252747 -CGCTTTACTTTGGTCCAAGG TCCACGCTTTACTTTGGTCCAAGGTGGTGGCCGA antisense ENST00000300060 CD13 8499 65 6.72 CDS -0.167093745 0.241758242 -CCACGCTTTACTTTGGTCCA GATTCCACGCTTTACTTTGGTCCAAGGTGGTGGC antisense ENST00000300060 CD13 8502 66 6.83 CDS 0.325697578 0.353846154 -AACGATTCCACGCTTTACTT CGGTAACGATTCCACGCTTTACTTTGGTCCAAGG antisense ENST00000300060 CD13 8509 68 7.03 CDS -0.523632877 0.189010989 -CCTTGGACCAAAGTAAAGCG ACCACCTTGGACCAAAGTAAAGCGTGGAATCGTT sense ENST00000300060 CD13 8513 70 7.24 CDS 2.026036192 0.901098901 -GTTTCAGCGTGTTGGGGAGG TCGGGTTTCAGCGTGTTGGGGAGGCGGTAACGAT antisense ENST00000300060 CD13 8533 76 7.86 CDS 1.449153771 0.665934066 -CGGGTTTCAGCGTGTTGGGG GAATCGGGTTTCAGCGTGTTGGGGAGGCGGTAAC antisense ENST00000300060 CD13 8536 77 7.96 CDS 1.547973233 0.716483516 -AATCGGGTTTCAGCGTGTTG TAGGAATCGGGTTTCAGCGTGTTGGGGAGGCGGT antisense ENST00000300060 CD13 8539 78 8.07 CDS 1.274184334 0.615384615 -GAATCGGGTTTCAGCGTGTT GTAGGAATCGGGTTTCAGCGTGTTGGGGAGGCGG antisense ENST00000300060 CD13 8540 79 8.17 CDS -0.511303354 0.193406593 -GGAATCGGGTTTCAGCGTGT GGTAGGAATCGGGTTTCAGCGTGTTGGGGAGGCG antisense ENST00000300060 CD13 8541 79 8.17 CDS 0.159010558 0.320879121 -AGCGTCACCCGGTAGGAATC TCTCAGCGTCACCCGGTAGGAATCGGGTTTCAGC antisense ENST00000300060 CD13 8555 84 8.69 CDS 0.566022721 0.4 -CAGCGTCACCCGGTAGGAAT GTCTCAGCGTCACCCGGTAGGAATCGGGTTTCAG antisense ENST00000300060 CD13 8556 84 8.69 CDS 0.07301865 0.29010989 -CGCTGAAACCCGATTCCTAC AACACGCTGAAACCCGATTCCTACCGGGTGACGC sense ENST00000300060 CD13 8558 85 8.79 CDS -0.893392107 0.131868132 -GCTGAAACCCGATTCCTACC ACACGCTGAAACCCGATTCCTACCGGGTGACGCT sense ENST00000300060 CD13 8559 85 8.79 CDS 1.436507777 0.659340659 -CGGTCTCAGCGTCACCCGGT GGTACGGTCTCAGCGTCACCCGGTAGGAATCGGG antisense ENST00000300060 CD13 8562 86 8.89 CDS 0.961710517 0.514285714 -GGTACGGTCTCAGCGTCACC GTGAGGTACGGTCTCAGCGTCACCCGGTAGGAAT antisense ENST00000300060 CD13 8566 87 9 CDS 1.837767193 0.830769231 -CTGTCATTGGGGGTGAGGTA GCCCCTGTCATTGGGGGTGAGGTACGGTCTCAGC antisense ENST00000300060 CD13 8582 93 9.62 CDS 0.634421838 0.406593407 -GGCCCCTGTCATTGGGGGTG TACAGGCCCCTGTCATTGGGGGTGAGGTACGGTC antisense ENST00000300060 CD13 8587 94 9.72 CDS -1.28971258 0.028571429 -GTACAGGCCCCTGTCATTGG AAACGTACAGGCCCCTGTCATTGGGGGTGAGGTA antisense ENST00000300060 CD13 8592 96 9.93 CDS 1.76429843 0.793406593 -CGTACAGGCCCCTGTCATTG AAAACGTACAGGCCCCTGTCATTGGGGGTGAGGT antisense ENST00000300060 CD13 8593 96 9.93 CDS 1.038652772 0.545054945 -ACGTACAGGCCCCTGTCATT AAAAACGTACAGGCCCCTGTCATTGGGGGTGAGG antisense ENST00000300060 CD13 8594 97 10.03 CDS -0.323473159 0.21978022 -CGTACCTCACCCCCAATGAC AGACCGTACCTCACCCCCAATGACAGGGGCCTGT sense ENST00000300060 CD13 8594 97 10.03 CDS 0.859849269 0.481318681 -GTACCTCACCCCCAATGACA GACCGTACCTCACCCCCAATGACAGGGGCCTGTA sense ENST00000300060 CD13 8595 97 10.03 CDS 0.562598785 0.397802198 -AACGTACAGGCCCCTGTCAT TAAAAACGTACAGGCCCCTGTCATTGGGGGTGAG antisense ENST00000300060 CD13 8595 97 10.03 CDS -0.064693419 0.259340659 -TACCTCACCCCCAATGACAG ACCGTACCTCACCCCCAATGACAGGGGCCTGTAC sense ENST00000300060 CD13 8596 97 10.03 CDS 1.627237526 0.749450549 -TGGAGCCCTTAAAAACGTAC GTGCTGGAGCCCTTAAAAACGTACAGGCCCCTGT antisense ENST00000300060 CD13 8608 101 10.44 CDS -1.428178714 0.010989011 -GCAGGTGAAACGGACGGTGC CCTTGCAGGTGAAACGGACGGTGCTGGAGCCCTT antisense ENST00000300060 CD13 8628 108 11.17 CDS -0.949994653 0.114285714 -CTCCTTGCAGGTGAAACGGA TGGCCTCCTTGCAGGTGAAACGGACGGTGCTGGA antisense ENST00000300060 CD13 8634 110 11.38 CDS 0.730782718 0.450549451 -TGGCCTCCTTGCAGGTGAAA TCAGTGGCCTCCTTGCAGGTGAAACGGACGGTGC antisense ENST00000300060 CD13 8638 111 11.48 CDS -0.86473112 0.138461538 -CACCGTCCGTTTCACCTGCA CCAGCACCGTCCGTTTCACCTGCAAGGAGGCCAC sense ENST00000300060 CD13 8643 113 11.69 CDS 1.265003678 0.610989011 -GACGTCAGTGGCCTCCTTGC TGATGACGTCAGTGGCCTCCTTGCAGGTGAAACG antisense ENST00000300060 CD13 8646 114 11.79 CDS 0.978311568 0.523076923 -CGTCCGTTTCACCTGCAAGG GCACCGTCCGTTTCACCTGCAAGGAGGCCACTGA sense ENST00000300060 CD13 8646 114 11.79 CDS 1.999603911 0.89010989 -GTGGATGATGATGACGTCAG TGCTGTGGATGATGATGACGTCAGTGGCCTCCTT antisense ENST00000300060 CD13 8658 118 12.2 CDS 1.77524247 0.795604396 -TGTAGTTGAGCTTCTTGCTG AGGGTGTAGTTGAGCTTCTTGCTGTGGATGATGA antisense ENST00000300060 CD13 8677 124 12.82 CDS 1.453478091 0.67032967 -GCTCAACTACACCCTCAGCC AGAAGCTCAACTACACCCTCAGCCAGGGGCACAG sense ENST00000300060 CD13 8700 132 13.65 CDS -0.363434976 0.213186813 -CACCCTGTGCCCCTGGCTGA GGACCACCCTGTGCCCCTGGCTGAGGGTGTAGTT antisense ENST00000300060 CD13 8700 132 13.65 CDS 1.139990249 0.582417582 -CCACCCTGTGCCCCTGGCTG AGGACCACCCTGTGCCCCTGGCTGAGGGTGTAGT antisense ENST00000300060 CD13 8701 132 13.65 CDS 0.667418273 0.417582418 -CTCAACTACACCCTCAGCCA GAAGCTCAACTACACCCTCAGCCAGGGGCACAGG sense ENST00000300060 CD13 8701 132 13.65 CDS 1.227947656 0.604395604 -TCAACTACACCCTCAGCCAG AAGCTCAACTACACCCTCAGCCAGGGGCACAGGG sense ENST00000300060 CD13 8702 133 13.75 CDS 1.934084444 0.87032967 -GCAGGACCACCCTGTGCCCC CCACGCAGGACCACCCTGTGCCCCTGGCTGAGGG antisense ENST00000300060 CD13 8707 134 13.86 CDS 0.724046574 0.443956044 -ACACCCTCAGCCAGGGGCAC AACTACACCCTCAGCCAGGGGCACAGGGTGGTCC sense ENST00000300060 CD13 8708 135 13.96 CDS 1.174325733 0.591208791 -CACCCTCAGCCAGGGGCACA ACTACACCCTCAGCCAGGGGCACAGGGTGGTCCT sense ENST00000300060 CD13 8709 135 13.96 CDS 1.428054885 0.657142857 -CCTCAGCCAGGGGCACAGGG ACACCCTCAGCCAGGGGCACAGGGTGGTCCTGCG sense ENST00000300060 CD13 8712 136 14.06 CDS 1.407221284 0.650549451 -GGGCACAGGGTGGTCCTGCG CCAGGGGCACAGGGTGGTCCTGCGTGGTGTGGGA sense ENST00000300060 CD13 8722 139 14.37 CDS 0.890607453 0.487912088 -GGGAGCCTCCCACACCACGC GGCTGGGAGCCTCCCACACCACGCAGGACCACCC antisense ENST00000300060 CD13 8725 140 14.48 CDS 1.305670627 0.621978022 -CAGGGTGGTCCTGCGTGGTG GGCACAGGGTGGTCCTGCGTGGTGTGGGAGGCTC sense ENST00000300060 CD13 8727 141 14.58 CDS -0.525965268 0.186813187 -AGGGTGGTCCTGCGTGGTGT GCACAGGGTGGTCCTGCGTGGTGTGGGAGGCTCC sense ENST00000300060 CD13 8728 141 14.58 CDS 1.198252228 0.597802198 -GTGGTCCTGCGTGGTGTGGG CAGGGTGGTCCTGCGTGGTGTGGGAGGCTCCCAG sense ENST00000300060 CD13 8731 142 14.68 CDS 1.223797045 0.602197802 -CTTGTCAATGTCGGGGGGCT CAGTCTTGTCAATGTCGGGGGGCTGGGAGCCTCC antisense ENST00000300060 CD13 8745 147 15.2 CDS -0.99457511 0.098901099 -TCTTGTCAATGTCGGGGGGC TCAGTCTTGTCAATGTCGGGGGGCTGGGAGCCTC antisense ENST00000300060 CD13 8746 147 15.2 CDS -1.274038809 0.03956044 -TCAGTCTTGTCAATGTCGGG CAGCTCAGTCTTGTCAATGTCGGGGGGCTGGGAG antisense ENST00000300060 CD13 8750 149 15.41 CDS 2.032968787 0.903296703 -CTCAGTCTTGTCAATGTCGG CCAGCTCAGTCTTGTCAATGTCGGGGGGCTGGGA antisense ENST00000300060 CD13 8751 149 15.41 CDS -0.532672628 0.184615385 -GCTCAGTCTTGTCAATGTCG ACCAGCTCAGTCTTGTCAATGTCGGGGGGCTGGG antisense ENST00000300060 CD13 8752 149 15.41 CDS 0.534801368 0.391208791 -AGCTCAGTCTTGTCAATGTC CACCAGCTCAGTCTTGTCAATGTCGGGGGGCTGG antisense ENST00000300060 CD13 8753 150 15.51 CDS 0.028036666 0.274725275 -CAGCTCAGTCTTGTCAATGT CCACCAGCTCAGTCTTGTCAATGTCGGGGGGCTG antisense ENST00000300060 CD13 8754 150 15.51 CDS 0.74269297 0.454945055 -CGACATTGACAAGACTGAGC CCCCCGACATTGACAAGACTGAGCTGGTGGAGCC sense ENST00000300060 CD13 8766 154 15.93 CDS 1.194159803 0.595604396 -CATTGACAAGACTGAGCTGG CCGACATTGACAAGACTGAGCTGGTGGAGCCCAC sense ENST00000300060 CD13 8769 155 16.03 CDS 1.600899238 0.736263736 -TGCACCACCAGGTACTCGGT GAGGTGCACCACCAGGTACTCGGTGGGCTCCACC antisense ENST00000300060 CD13 8783 160 16.55 CDS 2.12759524 0.938461538 -GTGCACCACCAGGTACTCGG TGAGGTGCACCACCAGGTACTCGGTGGGCTCCAC antisense ENST00000300060 CD13 8784 160 16.55 CDS 1.489568873 0.69010989 -GGTGGAGCCCACCGAGTACC AGCTGGTGGAGCCCACCGAGTACCTGGTGGTGCA sense ENST00000300060 CD13 8787 161 16.65 CDS 0.676714573 0.424175824 -GAGGTGCACCACCAGGTACT CCTTGAGGTGCACCACCAGGTACTCGGTGGGCTC antisense ENST00000300060 CD13 8787 161 16.65 CDS 0.757635906 0.457142857 -GGAGCCCACCGAGTACCTGG TGGTGGAGCCCACCGAGTACCTGGTGGTGCACCT sense ENST00000300060 CD13 8790 162 16.75 CDS 2.321289186 0.993406593 -AGCCCTTGAGGTGCACCACC AGGGAGCCCTTGAGGTGCACCACCAGGTACTCGG antisense ENST00000300060 CD13 8794 163 16.86 CDS 0.967372913 0.516483516 -GTACCTGGTGGTGCACCTCA CCGAGTACCTGGTGGTGCACCTCAAGGGCTCCCT sense ENST00000300060 CD13 8802 166 17.17 CDS 0.932343906 0.501098901 -TACCTGGTGGTGCACCTCAA CGAGTACCTGGTGGTGCACCTCAAGGGCTCCCTG sense ENST00000300060 CD13 8803 166 17.17 CDS 0.146544499 0.316483516 -CCTTCACCAGGGAGCCCTTG CTGTCCTTCACCAGGGAGCCCTTGAGGTGCACCA antisense ENST00000300060 CD13 8806 167 17.27 CDS 0.681417901 0.430769231 -GGTGCACCTCAAGGGCTCCC TGGTGGTGCACCTCAAGGGCTCCCTGGTGAAGGA sense ENST00000300060 CD13 8811 169 17.48 CDS -0.613188955 0.169230769 -ATACTGGCTGTCCTTCACCA TCTCATACTGGCTGTCCTTCACCAGGGAGCCCTT antisense ENST00000300060 CD13 8817 171 17.68 CDS 2.251522591 0.973626374 -CCTCAAGGGCTCCCTGGTGA TGCACCTCAAGGGCTCCCTGGTGAAGGACAGCCA sense ENST00000300060 CD13 8817 171 17.68 CDS 2.067339666 0.920879121 -CATACTGGCTGTCCTTCACC ATCTCATACTGGCTGTCCTTCACCAGGGAGCCCT antisense ENST00000300060 CD13 8818 171 17.68 CDS 1.655350288 0.767032967 -ACTCGCTGTCCATCTCATAC TCGAACTCGCTGTCCATCTCATACTGGCTGTCCT antisense ENST00000300060 CD13 8833 176 18.2 CDS 0.237488914 0.334065934 -GAAGGACAGCCAGTATGAGA TGGTGAAGGACAGCCAGTATGAGATGGACAGCGA sense ENST00000300060 CD13 8835 177 18.3 CDS 2.260597835 0.975824176 -TGAGATGGACAGCGAGTTCG AGTATGAGATGGACAGCGAGTTCGAGGGGGAGTT sense ENST00000300060 CD13 8850 182 18.82 CDS 0.44090394 0.371428571 -GAGATGGACAGCGAGTTCGA GTATGAGATGGACAGCGAGTTCGAGGGGGAGTTG sense ENST00000300060 CD13 8851 182 18.82 CDS 0.969433851 0.518681319 -AGATGGACAGCGAGTTCGAG TATGAGATGGACAGCGAGTTCGAGGGGGAGTTGG sense ENST00000300060 CD13 8852 183 18.92 CDS 0.690726279 0.435164835 -GATGGACAGCGAGTTCGAGG ATGAGATGGACAGCGAGTTCGAGGGGGAGTTGGC sense ENST00000300060 CD13 8853 183 18.92 CDS 2.225295351 0.962637363 -CAGCGAGTTCGAGGGGGAGT TGGACAGCGAGTTCGAGGGGGAGTTGGCAGATGA sense ENST00000300060 CD13 8859 185 19.13 CDS 1.613998236 0.742857143 -GGGGGAGTTGGCAGATGACC TCGAGGGGGAGTTGGCAGATGACCTGGCGGGCTT sense ENST00000300060 CD13 8871 189 19.54 CDS 0.52000605 0.389010989 -GGAGTTGGCAGATGACCTGG AGGGGGAGTTGGCAGATGACCTGGCGGGCTTCTA sense ENST00000300060 CD13 8874 190 19.65 CDS 0.94766593 0.50989011 -GAGTTGGCAGATGACCTGGC GGGGGAGTTGGCAGATGACCTGGCGGGCTTCTAC sense ENST00000300060 CD13 8875 190 19.65 CDS 0.886933592 0.485714286 -CGCTGCGGTAGAAGCCCGCC TACTCGCTGCGGTAGAAGCCCGCCAGGTCATCTG antisense ENST00000300060 CD13 8878 191 19.75 CDS 0.405615665 0.364835165 -TGCCCTCCATGTACTCGCTG ACATTGCCCTCCATGTACTCGCTGCGGTAGAAGC antisense ENST00000300060 CD13 8893 196 20.27 CDS 1.133819955 0.578021978 -CTTCTACCGCAGCGAGTACA CGGGCTTCTACCGCAGCGAGTACATGGAGGGCAA sense ENST00000300060 CD13 8898 198 20.48 CDS 1.043974947 0.547252747 -CTACCGCAGCGAGTACATGG GCTTCTACCGCAGCGAGTACATGGAGGGCAATGT sense ENST00000300060 CD13 8901 199 20.58 CDS 1.743588741 0.784615385 -TACCGCAGCGAGTACATGGA CTTCTACCGCAGCGAGTACATGGAGGGCAATGTC sense ENST00000300060 CD13 8902 199 20.58 CDS 1.353398365 0.635164835 -TTCCTGTTGGGGCAGGGTGG AACCTTCCTGTTGGGGCAGGGTGGTGGCCACTAC sense ENST00000300060 CD13 9428 206 21.3 CDS -0.181770917 0.23956044 -TGCAGCCTGCATCTGTGTAG CATCTGCAGCCTGCATCTGTGTAGTGGCCACCAC antisense ENST00000300060 CD13 9440 210 21.72 CDS 1.781605632 0.8 -GGTGGCCACTACACAGATGC GGGTGGTGGCCACTACACAGATGCAGGCTGCAGA sense ENST00000300060 CD13 9446 212 21.92 CDS 0.830727355 0.472527473 -AGATGCAGGCTGCAGATGCC ACACAGATGCAGGCTGCAGATGCCCGGAAGTCCT sense ENST00000300060 CD13 9460 217 22.44 CDS 0.091449396 0.294505495 -GAAGCATGGGAAGGACTTCC CATCGAAGCATGGGAAGGACTTCCGGGCATCTGC antisense ENST00000300060 CD13 9467 219 22.65 CDS -0.835361975 0.140659341 -CGAAGCATGGGAAGGACTTC TCATCGAAGCATGGGAAGGACTTCCGGGCATCTG antisense ENST00000300060 CD13 9468 219 22.65 CDS 0.388661508 0.36043956 -CGGCTCATCGAAGCATGGGA TGGCCGGCTCATCGAAGCATGGGAAGGACTTCCG antisense ENST00000300060 CD13 9476 222 22.96 CDS 1.871321248 0.83956044 -TGGCCGGCTCATCGAAGCAT TTCATGGCCGGCTCATCGAAGCATGGGAAGGACT antisense ENST00000300060 CD13 9480 223 23.06 CDS 2.243923899 0.969230769 -ATGGCCGGCTCATCGAAGCA CTTCATGGCCGGCTCATCGAAGCATGGGAAGGAC antisense ENST00000300060 CD13 9481 224 23.16 CDS 1.426910372 0.654945055 -CTTCCCATGCTTCGATGAGC AGTCCTTCCCATGCTTCGATGAGCCGGCCATGAA sense ENST00000300060 CD13 9488 226 23.37 CDS 0.132742331 0.307692308 -TTGAACTCGGCCTTCATGGC GATGTTGAACTCGGCCTTCATGGCCGGCTCATCG antisense ENST00000300060 CD13 9496 229 23.68 CDS 1.614375221 0.745054945 -CTTCGATGAGCCGGCCATGA CATGCTTCGATGAGCCGGCCATGAAGGCCGAGTT sense ENST00000300060 CD13 9497 229 23.68 CDS 1.13618486 0.58021978 -GATGTTGAACTCGGCCTTCA GCGTGATGTTGAACTCGGCCTTCATGGCCGGCTC antisense ENST00000300060 CD13 9500 230 23.78 CDS 0.701459989 0.437362637 -GATAAGCGTGATGTTGAACT GGTGGATAAGCGTGATGTTGAACTCGGCCTTCAT antisense ENST00000300060 CD13 9509 233 24.1 CDS 1.453045258 0.668131868 -CATCACGCTTATCCACCCCA TCAACATCACGCTTATCCACCCCAAGGACCTGAC sense ENST00000300060 CD13 9530 240 24.82 CDS 2.179976882 0.956043956 -GGGCTGTCAGGTCCTTGGGG GACAGGGCTGTCAGGTCCTTGGGGTGGATAAGCG antisense ENST00000300060 CD13 9531 240 24.82 CDS 1.85917939 0.835164835 -ACAGGGCTGTCAGGTCCTTG TTGGACAGGGCTGTCAGGTCCTTGGGGTGGATAA antisense ENST00000300060 CD13 9534 241 24.92 CDS 1.796955273 0.813186813 -GACAGGGCTGTCAGGTCCTT GTTGGACAGGGCTGTCAGGTCCTTGGGGTGGATA antisense ENST00000300060 CD13 9535 242 25.03 CDS 0.028603929 0.276923077 -GGACAGGGCTGTCAGGTCCT TGTTGGACAGGGCTGTCAGGTCCTTGGGGTGGAT antisense ENST00000300060 CD13 9536 242 25.03 CDS -1.09933538 0.079120879 -GCATGTTGGACAGGGCTGTC GGAAGCATGTTGGACAGGGCTGTCAGGTCCTTGG antisense ENST00000300060 CD13 9543 244 25.23 CDS -0.205782796 0.230769231 -TTTGGGAAGCATGTTGGACA CACCTTTGGGAAGCATGTTGGACAGGGCTGTCAG antisense ENST00000300060 CD13 9551 247 25.54 CDS 1.558285384 0.723076923 -CTTTGGGAAGCATGTTGGAC TCACCTTTGGGAAGCATGTTGGACAGGGCTGTCA antisense ENST00000300060 CD13 9552 247 25.54 CDS -0.878529832 0.134065934 -CTCACCTTTGGGAAGCATGT CCCACTCACCTTTGGGAAGCATGTTGGACAGGGC antisense ENST00000300060 CD13 9557 249 25.75 CDS 1.460935275 0.674725275 -CTGTCCAACATGCTTCCCAA AGCCCTGTCCAACATGCTTCCCAAAGGTGAGTGG sense ENST00000300060 CD13 9564 251 25.96 CDS 1.483847246 0.683516484 -GGCAGGGCCCACTCACCTTT CGCAGGCAGGGCCCACTCACCTTTGGGAAGCATG antisense ENST00000300060 CD13 9568 253 26.16 CDS -0.343600742 0.215384615 -GAAGTGGGGTGCTGGGACCT TCTGGAAGTGGGGTGCTGGGACCTGGGCAGGGAG antisense ENST00000300060 CD13 9673 253 26.16 CDS -1.299651673 0.026373626 -GGAAGTGGGGTGCTGGGACC TTCTGGAAGTGGGGTGCTGGGACCTGGGCAGGGA antisense ENST00000300060 CD13 9674 254 26.27 CDS -0.129565187 0.250549451 -TCTTCTGGAAGTGGGGTGCT GGGGTCTTCTGGAAGTGGGGTGCTGGGACCTGGG antisense ENST00000300060 CD13 9680 256 26.47 CDS -0.114935287 0.252747253 -GTCTTCTGGAAGTGGGGTGC TGGGGTCTTCTGGAAGTGGGGTGCTGGGACCTGG antisense ENST00000300060 CD13 9681 256 26.47 CDS -0.540259413 0.182417582 -GTTGGGGTCTTCTGGAAGTG TCCAGTTGGGGTCTTCTGGAAGTGGGGTGCTGGG antisense ENST00000300060 CD13 9687 258 26.68 CDS 1.370242589 0.63956044 -AGTTGGGGTCTTCTGGAAGT TTCCAGTTGGGGTCTTCTGGAAGTGGGGTGCTGG antisense ENST00000300060 CD13 9688 258 26.68 CDS 0.678454374 0.426373626 -CAGTTGGGGTCTTCTGGAAG ATTCCAGTTGGGGTCTTCTGGAAGTGGGGTGCTG antisense ENST00000300060 CD13 9689 259 26.78 CDS 0.427975795 0.367032967 -ACATTCCAGTTGGGGTCTTC AGTGACATTCCAGTTGGGGTCTTCTGGAAGTGGG antisense ENST00000300060 CD13 9695 261 26.99 CDS -1.196571384 0.061538462 -CACTTCCAGAAGACCCCAAC ACCCCACTTCCAGAAGACCCCAACTGGAATGTCA sense ENST00000300060 CD13 9701 263 27.2 CDS -1.220340412 0.052747253 -ACTCAGTGACATTCCAGTTG TGGAACTCAGTGACATTCCAGTTGGGGTCTTCTG antisense ENST00000300060 CD13 9703 263 27.2 CDS 1.878354754 0.843956044 -AACTCAGTGACATTCCAGTT GTGGAACTCAGTGACATTCCAGTTGGGGTCTTCT antisense ENST00000300060 CD13 9704 264 27.3 CDS 0.560805231 0.395604396 -TGGACATCTTGGGCGTGGTG TACGTGGACATCTTGGGCGTGGTGTGGAACTCAG antisense ENST00000300060 CD13 9727 271 28.02 CDS 0.338312713 0.358241758 -GTACGTGGACATCTTGGGCG GCAAGTACGTGGACATCTTGGGCGTGGTGTGGAA antisense ENST00000300060 CD13 9732 273 28.23 CDS 1.921180846 0.861538462 -AGCAAGTACGTGGACATCTT GGCCAGCAAGTACGTGGACATCTTGGGCGTGGTG antisense ENST00000300060 CD13 9737 275 28.44 CDS 0.304811019 0.351648352 -CAGCAAGTACGTGGACATCT AGGCCAGCAAGTACGTGGACATCTTGGGCGTGGT antisense ENST00000300060 CD13 9738 275 28.44 CDS -0.205752931 0.232967033 -AATGAAGGCCAGCAAGTACG TGACAATGAAGGCCAGCAAGTACGTGGACATCTT antisense ENST00000300060 CD13 9747 278 28.75 CDS 1.87222388 0.841758242 -GTCGAACTCACTGACAATGA CGTAGTCGAACTCACTGACAATGAAGGCCAGCAA antisense ENST00000300060 CD13 9762 283 29.27 CDS 1.88223831 0.848351648 -TGTCAGTGAGTTCGACTACG TCATTGTCAGTGAGTTCGACTACGTGGAGAAGCA sense ENST00000300060 CD13 9780 289 29.89 CDS 1.104308945 0.569230769 -GTTCGACTACGTGGAGAAGC GTGAGTTCGACTACGTGGAGAAGCAGGCATCCAA sense ENST00000300060 CD13 9789 292 30.2 CDS 1.636698561 0.756043956 -GTGGAGAAGCAGGCATCCAA CTACGTGGAGAAGCAGGCATCCAATGGTGTCTTG sense ENST00000300060 CD13 9799 295 30.51 CDS 2.051059107 0.90989011 -GCCTCATACCAAGACACCAT CCCAGCCTCATACCAAGACACCATTGGATGCCTG antisense ENST00000300060 CD13 9804 297 30.71 CDS 1.528065599 0.70989011 -GCAGGCATCCAATGGTGTCT AGAAGCAGGCATCCAATGGTGTCTTGGTATGAGG sense ENST00000300060 CD13 9807 298 30.82 CDS 0.232324335 0.331868132 -ACACCTTGCAGATCCGGATC CCTCACACCTTGCAGATCCGGATCTGGGCCCGGC sense ENST00000300060 CD13 10278 302 31.23 CDS -0.015575045 0.268131868 -CACCTTGCAGATCCGGATCT CTCACACCTTGCAGATCCGGATCTGGGCCCGGCC sense ENST00000300060 CD13 10279 302 31.23 CDS -0.10226617 0.254945055 -CACTGGGCCGGGCCCAGATC ATGGCACTGGGCCGGGCCCAGATCCGGATCTGCA antisense ENST00000300060 CD13 10280 302 31.23 CDS -0.700487108 0.153846154 -CGCCGCAATGGCACTGGGCC GGCCCGCCGCAATGGCACTGGGCCGGGCCCAGAT antisense ENST00000300060 CD13 10291 306 31.64 CDS -1.276447396 0.035164835 -CCGCCGCAATGGCACTGGGC TGGCCCGCCGCAATGGCACTGGGCCGGGCCCAGA antisense ENST00000300060 CD13 10292 306 31.64 CDS 0.729455102 0.448351648 -TGGCCCGCCGCAATGGCACT GCCGTGGCCCGCCGCAATGGCACTGGGCCGGGCC antisense ENST00000300060 CD13 10296 308 31.85 CDS 0.106508128 0.298901099 -GTGGCCCGCCGCAATGGCAC CGCCGTGGCCCGCCGCAATGGCACTGGGCCGGGC antisense ENST00000300060 CD13 10297 308 31.85 CDS 0.144613978 0.312087912 -GGCCCGGCCCAGTGCCATTG TCTGGGCCCGGCCCAGTGCCATTGCGGCGGGCCA sense ENST00000300060 CD13 10300 309 31.95 CDS 1.037743518 0.542857143 -CCGGCCCAGTGCCATTGCGG GGGCCCGGCCCAGTGCCATTGCGGCGGGCCACGG sense ENST00000300060 CD13 10303 310 32.06 CDS 1.792272332 0.808791209 -ATCGCCGTGGCCCGCCGCAA CATAATCGCCGTGGCCCGCCGCAATGGCACTGGG antisense ENST00000300060 CD13 10303 310 32.06 CDS 1.806189197 0.817582418 -CGGCCCAGTGCCATTGCGGC GGCCCGGCCCAGTGCCATTGCGGCGGGCCACGGC sense ENST00000300060 CD13 10304 310 32.06 CDS -1.077118279 0.083516484 -AGTGCCATTGCGGCGGGCCA GCCCAGTGCCATTGCGGCGGGCCACGGCGATTAT sense ENST00000300060 CD13 10310 312 32.26 CDS -1.420419412 0.013186813 -CGTTCAGGGCATAATCGCCG GTCACGTTCAGGGCATAATCGCCGTGGCCCGCCG antisense ENST00000300060 CD13 10316 314 32.47 CDS 1.830874789 0.826373626 -GATGGGGCCCGTCACGTTCA TAAGGATGGGGCCCGTCACGTTCAGGGCATAATC antisense ENST00000300060 CD13 10330 319 32.99 CDS 0.266518884 0.342857143 -GGATGGGGCCCGTCACGTTC TTAAGGATGGGGCCCGTCACGTTCAGGGCATAAT antisense ENST00000300060 CD13 10331 319 32.99 CDS -0.472595595 0.202197802 -CGATTATGCCCTGAACGTGA ACGGCGATTATGCCCTGAACGTGACGGGCCCCAT sense ENST00000300060 CD13 10333 320 33.09 CDS -1.470075813 0.002197802 -GATTATGCCCTGAACGTGAC CGGCGATTATGCCCTGAACGTGACGGGCCCCATC sense ENST00000300060 CD13 10334 320 33.09 CDS 1.4847805 0.687912088 -CAGCAAAGAAGTTAAGGATG TGACCAGCAAAGAAGTTAAGGATGGGGCCCGTCA antisense ENST00000300060 CD13 10346 324 33.51 CDS 1.73076188 0.782417582 -CCAGCAAAGAAGTTAAGGAT ATGACCAGCAAAGAAGTTAAGGATGGGGCCCGTC antisense ENST00000300060 CD13 10347 325 33.61 CDS 1.628281948 0.751648352 -ACCAGCAAAGAAGTTAAGGA AATGACCAGCAAAGAAGTTAAGGATGGGGCCCGT antisense ENST00000300060 CD13 10348 325 33.61 CDS 1.502020511 0.701098901 -AATGACCAGCAAAGAAGTTA TCATAATGACCAGCAAAGAAGTTAAGGATGGGGC antisense ENST00000300060 CD13 10352 326 33.71 CDS 0.894713885 0.494505495 -CCCATCCTTAACTTCTTTGC GGGCCCCATCCTTAACTTCTTTGCTGGTCATTAT sense ENST00000300060 CD13 10358 328 33.92 CDS -1.049756601 0.09010989 -CCCTACCCACTCCCAAAATC CACACCCTACCCACTCCCAAAATCAGGTGAGTGG sense ENST00000300060 CD13 10394 340 35.16 CDS -0.958475345 0.112087912 -GACCCCCACTCACCTGATTT CAAGGACCCCCACTCACCTGATTTTGGGAGTGGG antisense ENST00000300060 CD13 10395 341 35.26 CDS -1.222859669 0.050549451 -CTGGCAGGCCAATCTGGTCT AAGTCTGGCAGGCCAATCTGGTCTGGGGAGGCGA antisense ENST00000300060 CD13 10483 342 35.37 CDS 0.123375502 0.303296703 -TCTGGCAGGCCAATCTGGTC GAAGTCTGGCAGGCCAATCTGGTCTGGGGAGGCG antisense ENST00000300060 CD13 10484 343 35.47 CDS -0.188446684 0.237362637 -ATCGCCTCCCCAGACCAGAT TGGCATCGCCTCCCCAGACCAGATTGGCCTGCCA sense ENST00000300060 CD13 10486 343 35.47 CDS -0.386009151 0.208791209 -TGAAGTCTGGCAGGCCAATC GCGTTGAAGTCTGGCAGGCCAATCTGGTCTGGGG antisense ENST00000300060 CD13 10489 344 35.57 CDS -0.592885409 0.175824176 -CGCCGGCGTTGAAGTCTGGC ATGGCGCCGGCGTTGAAGTCTGGCAGGCCAATCT antisense ENST00000300060 CD13 10498 347 35.88 CDS -0.983608438 0.107692308 -ATGGCGCCGGCGTTGAAGTC CTCCATGGCGCCGGCGTTGAAGTCTGGCAGGCCA antisense ENST00000300060 CD13 10502 349 36.09 CDS 0.112998753 0.301098901 -GGCCTGCCAGACTTCAACGC GATTGGCCTGCCAGACTTCAACGCCGGCGCCATG sense ENST00000300060 CD13 10507 350 36.19 CDS 1.903195133 0.852747253 -AGACTTCAACGCCGGCGCCA TGCCAGACTTCAACGCCGGCGCCATGGAGAACTG sense ENST00000300060 CD13 10515 353 36.5 CDS 1.327669779 0.626373626 -TCCCCAGTTCTCCATGGCGC CCAGTCCCCAGTTCTCCATGGCGCCGGCGTTGAA antisense ENST00000300060 CD13 10515 353 36.5 CDS 1.803015031 0.815384615 -CACCAGTCCCCAGTTCTCCA AGGTCACCAGTCCCCAGTTCTCCATGGCGCCGGC antisense ENST00000300060 CD13 10521 355 36.71 CDS 1.81113993 0.821978022 -ACGCCGGCGCCATGGAGAAC TTCAACGCCGGCGCCATGGAGAACTGGGGACTGG sense ENST00000300060 CD13 10523 356 36.81 CDS 0.008568213 0.272527473 -CGCCGGCGCCATGGAGAACT TCAACGCCGGCGCCATGGAGAACTGGGGACTGGT sense ENST00000300060 CD13 10524 356 36.81 CDS -0.605651777 0.171428571 -GCCGGCGCCATGGAGAACTG CAACGCCGGCGCCATGGAGAACTGGGGACTGGTG sense ENST00000300060 CD13 10525 356 36.81 CDS 1.929962718 0.865934066 -CGCCATGGAGAACTGGGGAC CCGGCGCCATGGAGAACTGGGGACTGGTGACCTA sense ENST00000300060 CD13 10530 358 37.02 CDS -0.282643704 0.224175824 -ACTGGGGACTGGTGACCTAC GAGAACTGGGGACTGGTGACCTACCGGGAGAACT sense ENST00000300060 CD13 10541 362 37.44 CDS 0.733555414 0.452747253 -CTGGGGACTGGTGACCTACC AGAACTGGGGACTGGTGACCTACCGGGAGAACTC sense ENST00000300060 CD13 10542 362 37.44 CDS 1.031779165 0.536263736 -CAGCAGGGAGTTCTCCCGGT CGAACAGCAGGGAGTTCTCCCGGTAGGTCACCAG antisense ENST00000300060 CD13 10545 363 37.54 CDS 1.495215076 0.696703297 -CGAACAGCAGGGAGTTCTCC GGGTCGAACAGCAGGGAGTTCTCCCGGTAGGTCA antisense ENST00000300060 CD13 10549 364 37.64 CDS 0.943190662 0.507692308 -GGACAGGGGGTCGAACAGCA AGGAGGACAGGGGGTCGAACAGCAGGGAGTTCTC antisense ENST00000300060 CD13 10560 368 38.06 CDS 1.335245958 0.628571429 -AGGACAGGGGGTCGAACAGC GAGGAGGACAGGGGGTCGAACAGCAGGGAGTTCT antisense ENST00000300060 CD13 10561 368 38.06 CDS -0.68225175 0.156043956 -TGCTGCTGGAGGAGGACAGG TTGTTGCTGCTGGAGGAGGACAGGGGGTCGAACA antisense ENST00000300060 CD13 10573 372 38.47 CDS 1.588377879 0.72967033 -TTGCTGCTGGAGGAGGACAG CTTGTTGCTGCTGGAGGAGGACAGGGGGTCGAAC antisense ENST00000300060 CD13 10574 373 38.57 CDS 1.079545372 0.558241758 -GTTGCTGCTGGAGGAGGACA CCTTGTTGCTGCTGGAGGAGGACAGGGGGTCGAA antisense ENST00000300060 CD13 10575 373 38.57 CDS 1.508046379 0.703296703 -TGTTGCTGCTGGAGGAGGAC TCCTTGTTGCTGCTGGAGGAGGACAGGGGGTCGA antisense ENST00000300060 CD13 10576 373 38.57 CDS -1.012318162 0.096703297 -CTCCTTGTTGCTGCTGGAGG CCCGCTCCTTGTTGCTGCTGGAGGAGGACAGGGG antisense ENST00000300060 CD13 10581 375 38.78 CDS -0.987391341 0.101098901 -CCGCTCCTTGTTGCTGCTGG CCACCCGCTCCTTGTTGCTGCTGGAGGAGGACAG antisense ENST00000300060 CD13 10584 376 38.88 CDS -0.740961741 0.149450549 -CACCCGCTCCTTGTTGCTGC TGACCACCCGCTCCTTGTTGCTGCTGGAGGAGGA antisense ENST00000300060 CD13 10587 377 38.99 CDS -1.316819731 0.024175824 -GTCCTCCTCCAGCAGCAACA CCCTGTCCTCCTCCAGCAGCAACAAGGAGCGGGT sense ENST00000300060 CD13 10590 378 39.09 CDS 0.642908869 0.413186813 -CCTCCAGCAGCAACAAGGAG TCCTCCTCCAGCAGCAACAAGGAGCGGGTGGTCA sense ENST00000300060 CD13 10595 380 39.3 CDS 0.906034348 0.498901099 -CTCCAGCAGCAACAAGGAGC CCTCCTCCAGCAGCAACAAGGAGCGGGTGGTCAC sense ENST00000300060 CD13 10596 380 39.3 CDS 0.516801262 0.386813187 -CAGCAGCAACAAGGAGCGGG CCTCCAGCAGCAACAAGGAGCGGGTGGTCACTGT sense ENST00000300060 CD13 10599 381 39.4 CDS 1.675423125 0.771428571 -CACTGTGATTGCTCATGAGC TGGTCACTGTGATTGCTCATGAGCTGGCCCACCA sense ENST00000300060 CD13 10623 389 40.23 CDS -1.264133935 0.043956044 -TGCTCATGAGCTGGCCCACC TGATTGCTCATGAGCTGGCCCACCAGGTAGACCC sense ENST00000300060 CD13 10632 392 40.54 CDS 0.058635329 0.283516484 -GAGATGGGGGTCTACCTGGT CCCCGAGATGGGGGTCTACCTGGTGGGCCAGCTC antisense ENST00000300060 CD13 10635 393 40.64 CDS 1.377645415 0.641758242 -CGAGATGGGGGTCTACCTGG TCCCCGAGATGGGGGTCTACCTGGTGGGCCAGCT antisense ENST00000300060 CD13 10636 393 40.64 CDS 1.379689647 0.646153846 -CCCCTCCCCCCACAGTGGTT CTGACCCCTCCCCCCACAGTGGTTCGGGAACCTG sense ENST00000300060 CD13 10889 394 40.74 CDS -1.234848389 0.048351648 -CCCTCCCCCCACAGTGGTTC TGACCCCTCCCCCCACAGTGGTTCGGGAACCTGG sense ENST00000300060 CD13 10890 395 40.85 CDS -1.170948286 0.065934066 -TCCACCACTCTATGGTCACC TCATTCCACCACTCTATGGTCACCAGGTTCCCGA antisense ENST00000300060 CD13 10904 399 41.26 CDS 1.305473569 0.61978022 -GGAACCTGGTGACCATAGAG TTCGGGAACCTGGTGACCATAGAGTGGTGGAATG sense ENST00000300060 CD13 10911 402 41.57 CDS 1.529166902 0.714285714 -CAGGTCATTCCACCACTCTA GCCACAGGTCATTCCACCACTCTATGGTCACCAG antisense ENST00000300060 CD13 10912 402 41.57 CDS 1.483865015 0.685714286 -ACCTGGTGACCATAGAGTGG GGGAACCTGGTGACCATAGAGTGGTGGAATGACC sense ENST00000300060 CD13 10914 403 41.68 CDS 2.406492646 0.997802198 -TAGAGTGGTGGAATGACCTG ACCATAGAGTGGTGGAATGACCTGTGGCTGAACG sense ENST00000300060 CD13 10926 407 42.09 CDS 2.294031967 0.989010989 -CGAAGCCCTCGTTCAGCCAC GAGGCGAAGCCCTCGTTCAGCCACAGGTCATTCC antisense ENST00000300060 CD13 10931 408 42.19 CDS 1.468832712 0.676923077 -GAATGACCTGTGGCTGAACG GGTGGAATGACCTGTGGCTGAACGAGGGCTTCGC sense ENST00000300060 CD13 10936 410 42.4 CDS 1.031735605 0.534065934 -AATGACCTGTGGCTGAACGA GTGGAATGACCTGTGGCTGAACGAGGGCTTCGCC sense ENST00000300060 CD13 10937 410 42.4 CDS 2.281409481 0.984615385 -ACCCAGGTACTCCACGTAGG CAGCACCCAGGTACTCCACGTAGGAGGCGAAGCC antisense ENST00000300060 CD13 10954 416 43.02 CDS 1.921284603 0.863736264 -CGAGGGCTTCGCCTCCTACG TGAACGAGGGCTTCGCCTCCTACGTGGAGTACCT sense ENST00000300060 CD13 10954 416 43.02 CDS 1.859666386 0.837362637 -AGCACCCAGGTACTCCACGT AGTCAGCACCCAGGTACTCCACGTAGGAGGCGAA antisense ENST00000300060 CD13 10957 417 43.12 CDS 2.099100226 0.92967033 -CGCCTCCTACGTGGAGTACC GCTTCGCCTCCTACGTGGAGTACCTGGGTGCTGA sense ENST00000300060 CD13 10963 419 43.33 CDS -1.123053152 0.072527473 -GCCTCCTACGTGGAGTACCT CTTCGCCTCCTACGTGGAGTACCTGGGTGCTGAC sense ENST00000300060 CD13 10964 419 43.33 CDS 0.686030856 0.432967033 -GCTCCGCATAGTCAGCACCC GTGGGCTCCGCATAGTCAGCACCCAGGTACTCCA antisense ENST00000300060 CD13 10970 421 43.54 CDS 2.064379635 0.916483516 -GTACCTGGGTGCTGACTATG TGGAGTACCTGGGTGCTGACTATGCGGAGCCCAC sense ENST00000300060 CD13 10978 424 43.85 CDS 1.187291919 0.593406593 -CTGACTATGCGGAGCCCACC GGTGCTGACTATGCGGAGCCCACCTGGAACTTGG sense ENST00000300060 CD13 10989 428 44.26 CDS 0.205678164 0.323076923 -TGGCTTACCAAGTTCCAGGT CAGCTGGCTTACCAAGTTCCAGGTGGGCTCCGCA antisense ENST00000300060 CD13 10992 429 44.36 CDS 2.306603496 0.991208791 -CTGGCTTACCAAGTTCCAGG GCAGCTGGCTTACCAAGTTCCAGGTGGGCTCCGC antisense ENST00000300060 CD13 10993 429 44.36 CDS 1.155060412 0.584615385 -CAGCTGGCTTACCAAGTTCC TGGGCAGCTGGCTTACCAAGTTCCAGGTGGGCTC antisense ENST00000300060 CD13 10996 430 44.47 CDS 0.238035264 0.336263736 -TGCGGAGCCCACCTGGAACT ACTATGCGGAGCCCACCTGGAACTTGGTAAGCCA sense ENST00000300060 CD13 10996 430 44.47 CDS 1.369663458 0.637362637 -GAATTTGCAGAAAGACCTCA TGGGGAATTTGCAGAAAGACCTCATGGTGCTGAA sense ENST00000300060 CD13 11106 434 44.88 CDS 0.94779855 0.512087912 -ACACATCATTCAGCACCATG CGGTACACATCATTCAGCACCATGAGGTCTTTCT antisense ENST00000300060 CD13 11110 435 44.98 CDS 1.263821075 0.608791209 -GAATGATGTGTACCGCGTGA TGCTGAATGATGTGTACCGCGTGATGGCAGTGGA sense ENST00000300060 CD13 11133 443 45.81 CDS 1.637496129 0.758241758 -GTGCATCCACTGCCATCACG GCCAGTGCATCCACTGCCATCACGCGGTACACAT antisense ENST00000300060 CD13 11134 443 45.81 CDS 2.218957103 0.96043956 -TGTGTACCGCGTGATGGCAG ATGATGTGTACCGCGTGATGGCAGTGGATGCACT sense ENST00000300060 CD13 11139 445 46.02 CDS 2.278054971 0.982417582 -CGTGATGGCAGTGGATGCAC ACCGCGTGATGGCAGTGGATGCACTGGCCTCCTC sense ENST00000300060 CD13 11148 448 46.33 CDS 2.077408957 0.925274725 -TGTGGACAGCGGGTGGGAGG CGGGTGTGGACAGCGGGTGGGAGGAGGCCAGTGC antisense ENST00000300060 CD13 11160 452 46.74 CDS 0.869901423 0.483516484 -GGGTGTGGACAGCGGGTGGG AGGCGGGTGTGGACAGCGGGTGGGAGGAGGCCAG antisense ENST00000300060 CD13 11163 453 46.85 CDS 1.056156739 0.549450549 -GGCGGGTGTGGACAGCGGGT CCGAGGCGGGTGTGGACAGCGGGTGGGAGGAGGC antisense ENST00000300060 CD13 11166 454 46.95 CDS 2.044782361 0.905494505 -AGGCGGGTGTGGACAGCGGG TCCGAGGCGGGTGTGGACAGCGGGTGGGAGGAGG antisense ENST00000300060 CD13 11167 454 46.95 CDS 0.638641373 0.410989011 -CCGAGGCGGGTGTGGACAGC ATCTCCGAGGCGGGTGTGGACAGCGGGTGGGAGG antisense ENST00000300060 CD13 11170 455 47.05 CDS 1.445733691 0.663736264 -TCCGAGGCGGGTGTGGACAG GATCTCCGAGGCGGGTGTGGACAGCGGGTGGGAG antisense ENST00000300060 CD13 11171 456 47.16 CDS 2.058559317 0.912087912 -GTTGATCTCCGAGGCGGGTG GCGTGTTGATCTCCGAGGCGGGTGTGGACAGCGG antisense ENST00000300060 CD13 11178 458 47.36 CDS 1.44345311 0.661538462 -CCCGCTGTCCACACCCGCCT CCCACCCGCTGTCCACACCCGCCTCGGAGATCAA sense ENST00000300060 CD13 11181 459 47.47 CDS 0.811496725 0.465934066 -GGCGTGTTGATCTCCGAGGC GGCCGGCGTGTTGATCTCCGAGGCGGGTGTGGAC antisense ENST00000300060 CD13 11183 460 47.57 CDS 1.745941088 0.786813187 -CGGCGTGTTGATCTCCGAGG GGGCCGGCGTGTTGATCTCCGAGGCGGGTGTGGA antisense ENST00000300060 CD13 11184 460 47.57 CDS 1.934225478 0.872527473 -GGCCGGCGTGTTGATCTCCG TCTGGGCCGGCGTGTTGATCTCCGAGGCGGGTGT antisense ENST00000300060 CD13 11187 461 47.67 CDS 1.884441866 0.850549451 -CGCCTCGGAGATCAACACGC CACCCGCCTCGGAGATCAACACGCCGGCCCAGAT sense ENST00000300060 CD13 11196 464 47.98 CDS 1.644272607 0.762637363 -AACAGCTCACTGATCTGGGC GTCAAACAGCTCACTGATCTGGGCCGGCGTGTTG antisense ENST00000300060 CD13 11204 467 48.29 CDS 1.594618582 0.731868132 -GTCAAACAGCTCACTGATCT TGGCGTCAAACAGCTCACTGATCTGGGCCGGCGT antisense ENST00000300060 CD13 11208 468 48.4 CDS 0.846968218 0.479120879 -CGTCAAACAGCTCACTGATC ATGGCGTCAAACAGCTCACTGATCTGGGCCGGCG antisense ENST00000300060 CD13 11209 468 48.4 CDS -0.821851571 0.142857143 -CTGCACCTTGCTGTAGGAGA CGGGCTGCACCTTGCTGTAGGAGATGGCGTCAAA antisense ENST00000300060 CD13 11232 476 49.22 CDS 0.281313593 0.345054945 -TGACGCCATCTCCTACAGCA TGTTTGACGCCATCTCCTACAGCAAGGTGCAGCC sense ENST00000300060 CD13 11238 478 49.43 CDS 1.636382624 0.753846154 -AGCGGGCTGCACCTTGCTGT GAGGAGCGGGCTGCACCTTGCTGTAGGAGATGGC antisense ENST00000300060 CD13 11238 478 49.43 CDS 1.345659993 0.630769231 -CCTGAGGACTGAGGCGCCCT GCATCCTGAGGACTGAGGCGCCCTGGGGTGGGGG antisense ENST00000300060 CD13 11383 480 49.64 CDS 1.126764408 0.575824176 -TCCTGAGGACTGAGGCGCCC AGCATCCTGAGGACTGAGGCGCCCTGGGGTGGGG antisense ENST00000300060 CD13 11384 480 49.64 CDS 1.987154885 0.885714286 -GGAGAGCATCCTGAGGACTG AGCTGGAGAGCATCCTGAGGACTGAGGCGCCCTG antisense ENST00000300060 CD13 11392 483 49.95 CDS -1.058609225 0.087912088 -CCCAGGGCGCCTCAGTCCTC CCACCCCAGGGCGCCTCAGTCCTCAGGATGCTCT sense ENST00000300060 CD13 11394 484 50.05 CDS -0.944870545 0.120879121 -GGAAGCTGGAGAGCATCCTG GACAGGAAGCTGGAGAGCATCCTGAGGACTGAGG antisense ENST00000300060 CD13 11399 485 50.16 CDS -0.205899719 0.228571429 -TACGTCCTCGGACAGGAAGC TGAATACGTCCTCGGACAGGAAGCTGGAGAGCAT antisense ENST00000300060 CD13 11413 490 50.67 CDS -0.982519697 0.10989011 -GCTCTCCAGCTTCCTGTCCG GGATGCTCTCCAGCTTCCTGTCCGAGGACGTATT sense ENST00000300060 CD13 11419 492 50.88 CDS 1.991890898 0.887912088 -GCTTGAATACGTCCTCGGAC CCCTGCTTGAATACGTCCTCGGACAGGAAGCTGG antisense ENST00000300060 CD13 11420 492 50.88 CDS 1.782576629 0.802197802 -GCCCTGCTTGAATACGTCCT CCAGGCCCTGCTTGAATACGTCCTCGGACAGGAA antisense ENST00000300060 CD13 11425 494 51.09 CDS 1.70693578 0.775824176 -GTCCGAGGACGTATTCAAGC TCCTGTCCGAGGACGTATTCAAGCAGGGCCTGGC sense ENST00000300060 CD13 11434 497 51.4 CDS -0.387768977 0.206593407 -TCCGAGGACGTATTCAAGCA CCTGTCCGAGGACGTATTCAAGCAGGGCCTGGCG sense ENST00000300060 CD13 11435 497 51.4 CDS -0.035303336 0.265934066 -GGACGTATTCAAGCAGGGCC CCGAGGACGTATTCAAGCAGGGCCTGGCGGTGAG sense ENST00000300060 CD13 11440 499 51.6 CDS 0.994846241 0.52967033 -CGTATTCAAGCAGGGCCTGG AGGACGTATTCAAGCAGGGCCTGGCGGTGAGTAC sense ENST00000300060 CD13 11443 500 51.71 CDS 1.946545446 0.876923077 -AGGGTGCAGTACTCACCGCC GCCCAGGGTGCAGTACTCACCGCCAGGCCCTGCT antisense ENST00000300060 CD13 11447 501 51.81 CDS 1.159802067 0.586813187 -GTAGGCAAAGGTGTGGAGGT TCTGGTAGGCAAAGGTGTGGAGGTAGGACTGTGG antisense ENST00000300060 CD13 11592 504 52.12 CDS 1.392496059 0.648351648 -TCTGGTAGGCAAAGGTGTGG GTGTTCTGGTAGGCAAAGGTGTGGAGGTAGGACT antisense ENST00000300060 CD13 11596 505 52.22 CDS 1.792425032 0.810989011 -TGTTCTGGTAGGCAAAGGTG ATGGTGTTCTGGTAGGCAAAGGTGTGGAGGTAGG antisense ENST00000300060 CD13 11599 506 52.33 CDS 1.033288065 0.538461538 -GATGGTGTTCTGGTAGGCAA GGTAGATGGTGTTCTGGTAGGCAAAGGTGTGGAG antisense ENST00000300060 CD13 11604 508 52.53 CDS 0.400194695 0.362637363 -CAGGTAGATGGTGTTCTGGT GGTTCAGGTAGATGGTGTTCTGGTAGGCAAAGGT antisense ENST00000300060 CD13 11610 510 52.74 CDS 1.754461775 0.791208791 -GGTTCAGGTAGATGGTGTTC CACAGGTTCAGGTAGATGGTGTTCTGGTAGGCAA antisense ENST00000300060 CD13 11614 511 52.84 CDS -0.15877455 0.243956044 -GTCCCACAGGTTCAGGTAGA GGTGGTCCCACAGGTTCAGGTAGATGGTGTTCTG antisense ENST00000300060 CD13 11622 514 53.15 CDS -0.493656368 0.195604396 -GCAGGTGGTCCCACAGGTTC TCCTGCAGGTGGTCCCACAGGTTCAGGTAGATGG antisense ENST00000300060 CD13 11629 516 53.36 CDS -0.787611075 0.145054945 -ACACCATCTACCTGAACCTG CAGAACACCATCTACCTGAACCTGTGGGACCACC sense ENST00000300060 CD13 11630 517 53.46 CDS 0.585372064 0.402197802 -CACCATCTACCTGAACCTGT AGAACACCATCTACCTGAACCTGTGGGACCACCT sense ENST00000300060 CD13 11631 517 53.46 CDS 0.837558927 0.474725275 -CCTCCTGCAGGTGGTCCCAC CTGACCTCCTGCAGGTGGTCCCACAGGTTCAGGT antisense ENST00000300060 CD13 11635 518 53.57 CDS -1.113471551 0.074725275 -GAACCTGTGGGACCACCTGC ACCTGAACCTGTGGGACCACCTGCAGGAGGTCAG sense ENST00000300060 CD13 11643 521 53.88 CDS 0.899697059 0.496703297 -TGCTACTGACCTCCTGCAGG TGGCTGCTACTGACCTCCTGCAGGTGGTCCCACA antisense ENST00000300060 CD13 11644 521 53.88 CDS 1.266954975 0.613186813 -CCTGTGGGACCACCTGCAGG TGAACCTGTGGGACCACCTGCAGGAGGTCAGTAG sense ENST00000300060 CD13 11646 522 53.98 CDS 1.619251693 0.747252747 -GGCTGCTACTGACCTCCTGC GGCTGGCTGCTACTGACCTCCTGCAGGTGGTCCC antisense ENST00000300060 CD13 11647 522 53.98 CDS 0.670901399 0.421978022 -ACCCACAGGCTGTGAACAAC CTCCACCCACAGGCTGTGAACAACCGGTCCATCC sense ENST00000300060 CD13 13291 527 54.5 CDS -0.133801556 0.248351648 -TGGTGGGGAGTTGGATGGAC ACGGTGGTGGGGAGTTGGATGGACCGGTTGTTCA antisense ENST00000300060 CD13 13299 529 54.71 CDS 0.893038665 0.49010989 -CACGGTGGTGGGGAGTTGGA CCCGCACGGTGGTGGGGAGTTGGATGGACCGGTT antisense ENST00000300060 CD13 13304 531 54.91 CDS 1.171095617 0.589010989 -CCCGCACGGTGGTGGGGAGT ATGTCCCGCACGGTGGTGGGGAGTTGGATGGACC antisense ENST00000300060 CD13 13308 532 55.02 CDS 1.583078616 0.725274725 -TGATGTCCCGCACGGTGGTG TTCATGATGTCCCGCACGGTGGTGGGGAGTTGGA antisense ENST00000300060 CD13 13314 534 55.22 CDS 0.560653131 0.393406593 -ATGATGTCCCGCACGGTGGT GTTCATGATGTCCCGCACGGTGGTGGGGAGTTGG antisense ENST00000300060 CD13 13315 535 55.33 CDS 1.51127207 0.705494505 -CATGATGTCCCGCACGGTGG GGTTCATGATGTCCCGCACGGTGGTGGGGAGTTG antisense ENST00000300060 CD13 13316 535 55.33 CDS 1.605637789 0.738461538 -TCCAACTCCCCACCACCGTG TCCATCCAACTCCCCACCACCGTGCGGGACATCA sense ENST00000300060 CD13 13318 536 55.43 CDS 2.174532071 0.953846154 -GTTCATGATGTCCCGCACGG AGCGGTTCATGATGTCCCGCACGGTGGTGGGGAG antisense ENST00000300060 CD13 13319 536 55.43 CDS 2.337645067 0.995604396 -CCAACTCCCCACCACCGTGC CCATCCAACTCCCCACCACCGTGCGGGACATCAT sense ENST00000300060 CD13 13319 536 55.43 CDS 2.107162652 0.934065934 -GCGGTTCATGATGTCCCGCA TCCAGCGGTTCATGATGTCCCGCACGGTGGTGGG antisense ENST00000300060 CD13 13322 537 55.53 CDS 2.248037991 0.971428571 -TGCGGGACATCATGAACCGC ACCGTGCGGGACATCATGAACCGCTGGACCCTGC sense ENST00000300060 CD13 13336 542 56.05 CDS 1.067455007 0.556043956 -AGCCCATCTGCAGGGTCCAG GGGAAGCCCATCTGCAGGGTCCAGCGGTTCATGA antisense ENST00000300060 CD13 13341 543 56.15 CDS 2.062902534 0.914285714 -GACCGGGAAGCCCATCTGCA TGATGACCGGGAAGCCCATCTGCAGGGTCCAGCG antisense ENST00000300060 CD13 13349 546 56.46 CDS 2.166147007 0.951648352 -GAACCGCTGGACCCTGCAGA TCATGAACCGCTGGACCCTGCAGATGGGCTTCCC sense ENST00000300060 CD13 13349 546 56.46 CDS 0.893606413 0.492307692 -AACCGCTGGACCCTGCAGAT CATGAACCGCTGGACCCTGCAGATGGGCTTCCCG sense ENST00000300060 CD13 13350 546 56.46 CDS 0.304617816 0.349450549 -TGACCGGGAAGCCCATCTGC GTGATGACCGGGAAGCCCATCTGCAGGGTCCAGC antisense ENST00000300060 CD13 13350 546 56.46 CDS 1.94803901 0.879120879 -GACCCTGCAGATGGGCTTCC GCTGGACCCTGCAGATGGGCTTCCCGGTCATCAC sense ENST00000300060 CD13 13358 549 56.77 CDS -1.338993958 0.017582418 -TGGTATCCACCGTGATGACC GTGCTGGTATCCACCGTGATGACCGGGAAGCCCA antisense ENST00000300060 CD13 13365 551 56.98 CDS 1.880746171 0.846153846 -CTGGTATCCACCGTGATGAC CGTGCTGGTATCCACCGTGATGACCGGGAAGCCC antisense ENST00000300060 CD13 13366 552 57.08 CDS 0.144152524 0.30989011 -GATGGGCTTCCCGGTCATCA TGCAGATGGGCTTCCCGGTCATCACGGTGGATAC sense ENST00000300060 CD13 13367 552 57.08 CDS 1.664000649 0.769230769 -GGGCTTCCCGGTCATCACGG AGATGGGCTTCCCGGTCATCACGGTGGATACCAG sense ENST00000300060 CD13 13370 553 57.19 CDS 1.933220205 0.868131868 -CATCACGGTGGATACCAGCA CGGTCATCACGGTGGATACCAGCACGGGGACCCT sense ENST00000300060 CD13 13382 557 57.6 CDS 2.065798746 0.918681319 -ATCACGGTGGATACCAGCAC GGTCATCACGGTGGATACCAGCACGGGGACCCTT sense ENST00000300060 CD13 13383 557 57.6 CDS 2.106478773 0.931868132 -TCACGGTGGATACCAGCACG GTCATCACGGTGGATACCAGCACGGGGACCCTTT sense ENST00000300060 CD13 13384 558 57.7 CDS 2.15386702 0.949450549 -CTGGGAAAGGGTCCCCGTGC GCTCCTGGGAAAGGGTCCCCGTGCTGGTATCCAC antisense ENST00000300060 CD13 13385 558 57.7 CDS 0.261362833 0.338461538 -CAGCACGGGGACCCTTTCCC ATACCAGCACGGGGACCCTTTCCCAGGAGCACTT sense ENST00000300060 CD13 13397 562 58.12 CDS 1.102348962 0.567032967 -GAGGAAGTGCTCCTGGGAAA CAAGGAGGAAGTGCTCCTGGGAAAGGGTCCCCGT antisense ENST00000300060 CD13 13397 562 58.12 CDS 1.20022154 0.6 -GGAGGAAGTGCTCCTGGGAA TCAAGGAGGAAGTGCTCCTGGGAAAGGGTCCCCG antisense ENST00000300060 CD13 13398 562 58.12 CDS 0.668741962 0.41978022 -GTCAAGGAGGAAGTGCTCCT CGGGGTCAAGGAGGAAGTGCTCCTGGGAAAGGGT antisense ENST00000300060 CD13 13403 564 58.32 CDS 0.934466126 0.505494505 -GGTCAAGGAGGAAGTGCTCC TCGGGGTCAAGGAGGAAGTGCTCCTGGGAAAGGG antisense ENST00000300060 CD13 13404 564 58.32 CDS -0.094055454 0.257142857 -CATTGGAATCGGGGTCAAGG GTAACATTGGAATCGGGGTCAAGGAGGAAGTGCT antisense ENST00000300060 CD13 13416 568 58.74 CDS 0.982109337 0.525274725 -TAACATTGGAATCGGGGTCA CGGGTAACATTGGAATCGGGGTCAAGGAGGAAGT antisense ENST00000300060 CD13 13419 569 58.84 CDS -0.643571181 0.162637363 -GGCGGGTAACATTGGAATCG GAGGGGCGGGTAACATTGGAATCGGGGTCAAGGA antisense ENST00000300060 CD13 13425 571 59.05 CDS 0.994087508 0.527472527 -GGGCGGGTAACATTGGAATC TGAGGGGCGGGTAACATTGGAATCGGGGTCAAGG antisense ENST00000300060 CD13 13426 572 59.15 CDS -0.190035067 0.235164835 -GGGGCGGGTAACATTGGAAT CTGAGGGGCGGGTAACATTGGAATCGGGGTCAAG antisense ENST00000300060 CD13 13427 572 59.15 CDS 0.042876816 0.281318681 -TTCTGAGGGGCGGGTAACAT TGAATTCTGAGGGGCGGGTAACATTGGAATCGGG antisense ENST00000300060 CD13 13433 574 59.36 CDS -0.595902358 0.173626374 -TCACTTGAATTCTGAGGGGC CTGCTCACTTGAATTCTGAGGGGCGGGTAACATT antisense ENST00000300060 CD13 13442 577 59.67 CDS 1.080575529 0.56043956 -CTCACTTGAATTCTGAGGGG TCTGCTCACTTGAATTCTGAGGGGCGGGTAACAT antisense ENST00000300060 CD13 13443 577 59.67 CDS 0.818766384 0.47032967 -CTGCTCACTTGAATTCTGAG CCATCTGCTCACTTGAATTCTGAGGGGCGGGTAA antisense ENST00000300060 CD13 13446 578 59.77 CDS 1.291847774 0.617582418 -TCTGCTCACTTGAATTCTGA CCCATCTGCTCACTTGAATTCTGAGGGGCGGGTA antisense ENST00000300060 CD13 13447 579 59.88 CDS 0.153963379 0.318681319 -ATCTGCTCACTTGAATTCTG CCCCATCTGCTCACTTGAATTCTGAGGGGCGGGT antisense ENST00000300060 CD13 13448 579 59.88 CDS -0.66998122 0.158241758 -TCTTTAATTGCAGCTACGTG TGGATCTTTAATTGCAGCTACGTGTGGATTGTGC sense ENST00000300060 CD13 13706 583 60.29 CDS -1.209819336 0.057142857 -GCCATCTCTGATGGATGTGA GTCTGCCATCTCTGATGGATGTGATGGGCACAAT antisense ENST00000300060 CD13 13725 589 60.91 CDS 1.641203022 0.76043956 -CTGCTGTCTGCCATCTCTGA CCTGCTGCTGTCTGCCATCTCTGATGGATGTGAT antisense ENST00000300060 CD13 13734 592 61.22 CDS 0.837915827 0.476923077 -CCCATCACATCCATCAGAGA TGTGCCCATCACATCCATCAGAGATGGCAGACAG sense ENST00000300060 CD13 13735 592 61.22 CDS 2.011875637 0.896703297 -CAGAGATGGCAGACAGCAGC CCATCAGAGATGGCAGACAGCAGCAGGACTACTG sense ENST00000300060 CD13 13749 597 61.74 CDS 0.705769566 0.43956044 -GCAGACAGCAGCAGGACTAC GATGGCAGACAGCAGCAGGACTACTGGCTGATAG sense ENST00000300060 CD13 13757 600 62.05 CDS 1.493611909 0.694505495 -TACTGGCTGATAGATGTAAG GGACTACTGGCTGATAGATGTAAGAGGTAATCCA sense ENST00000300060 CD13 13774 605 62.56 CDS 0.513063026 0.382417582 -TGTGCTGAAGAGATCGTTCT CTGATGTGCTGAAGAGATCGTTCTGGGCTGTGGA antisense ENST00000300060 CD13 15336 609 62.98 CDS 1.412676985 0.652747253 -ATGTGCTGAAGAGATCGTTC CCTGATGTGCTGAAGAGATCGTTCTGGGCTGTGG antisense ENST00000300060 CD13 15337 609 62.98 CDS 0.031629506 0.279120879 -AACGATCTCTTCAGCACATC CCAGAACGATCTCTTCAGCACATCAGGCAATGAG sense ENST00000300060 CD13 15352 614 63.5 CDS -1.140705338 0.07032967 -TCAGCACATCAGGCAATGAG CTCTTCAGCACATCAGGCAATGAGTGGGTCCTGC sense ENST00000300060 CD13 15362 618 63.91 CDS 2.083979236 0.927472527 -CAGCACATCAGGCAATGAGT TCTTCAGCACATCAGGCAATGAGTGGGTCCTGCT sense ENST00000300060 CD13 15363 618 63.91 CDS 2.193553759 0.958241758 -CCGTCACATTGAGGTTCAGC TAGCCCGTCACATTGAGGTTCAGCAGGACCCACT antisense ENST00000300060 CD13 15376 622 64.32 CDS 0.447153643 0.375824176 -GGTAATAGCCCGTCACATTG ACCCGGTAATAGCCCGTCACATTGAGGTTCAGCA antisense ENST00000300060 CD13 15385 625 64.63 CDS 1.915119663 0.857142857 -CCTGCTGAACCTCAATGTGA GGGTCCTGCTGAACCTCAATGTGACGGGCTATTA sense ENST00000300060 CD13 15387 626 64.74 CDS 1.37912459 0.643956044 -CTGCTGAACCTCAATGTGAC GGTCCTGCTGAACCTCAATGTGACGGGCTATTAC sense ENST00000300060 CD13 15388 626 64.74 CDS 0.725773631 0.446153846 -TCAATGTGACGGGCTATTAC AACCTCAATGTGACGGGCTATTACCGGGTGAACT sense ENST00000300060 CD13 15398 630 65.15 CDS 0.132571523 0.305494505 -CAATGTGACGGGCTATTACC ACCTCAATGTGACGGGCTATTACCGGGTGAACTA sense ENST00000300060 CD13 15399 630 65.15 CDS 1.060304117 0.553846154 -TCTCTTCGTCGTAGTTCACC CAGTTCTCTTCGTCGTAGTTCACCCGGTAATAGC antisense ENST00000300060 CD13 15406 632 65.36 CDS 2.128025153 0.940659341 -TGAACTACGACGAAGAGAAC CGGGTGAACTACGACGAAGAGAACTGGAGGAAGA sense ENST00000300060 CD13 15422 638 65.98 CDS 1.786078208 0.804395604 -ACTACGACGAAGAGAACTGG GTGAACTACGACGAAGAGAACTGGAGGAAGATTC sense ENST00000300060 CD13 15425 639 66.08 CDS 2.28964145 0.986813187 -TCAGCTGCAGAGAGACCACT AGACTCAGCTGCAGAGAGACCACTCGGTGAGTGT sense ENST00000300060 CD13 15459 650 67.22 CDS 2.14887773 0.947252747 -GGTGGCAGACACTCACCGAG GAGGGGTGGCAGACACTCACCGAGTGGTCTCTCT antisense ENST00000300060 CD13 15463 651 67.32 CDS 2.237580591 0.967032967 -TGCCCGATTGATGACAGGGA TCTGTGCCCGATTGATGACAGGGATGGCCTAGAA antisense ENST00000300060 CD13 15581 654 67.63 CDS 1.707170464 0.778021978 -TCTGTGCCCGATTGATGACA ATGATCTGTGCCCGATTGATGACAGGGATGGCCT antisense ENST00000300060 CD13 15585 655 67.74 CDS 2.06888482 0.923076923 -ATCTGTGCCCGATTGATGAC AATGATCTGTGCCCGATTGATGACAGGGATGGCC antisense ENST00000300060 CD13 15586 656 67.84 CDS 0.453543289 0.378021978 -AGGCCATCCCTGTCATCAAT TTCTAGGCCATCCCTGTCATCAATCGGGCACAGA sense ENST00000300060 CD13 15589 657 67.94 CDS -1.329719345 0.01978022 -GGCCATCCCTGTCATCAATC TCTAGGCCATCCCTGTCATCAATCGGGCACAGAT sense ENST00000300060 CD13 15590 657 67.94 CDS -1.167754721 0.068131868 -CACTCACCTGGCCAGGTTGA GGAGCACTCACCTGGCCAGGTTGAAGGCGTCATT antisense ENST00000300060 CD13 15620 667 68.98 CDS 0.716337646 0.441758242 -CATTAATGACGCCTTCAACC AGATCATTAATGACGCCTTCAACCTGGCCAGGTG sense ENST00000300060 CD13 15620 667 68.98 CDS 1.489694756 0.692307692 -ATGACGCCTTCAACCTGGCC ATTAATGACGCCTTCAACCTGGCCAGGTGAGTGC sense ENST00000300060 CD13 15625 669 69.18 CDS -1.198962518 0.059340659 -AGCGGAGCACTCACCTGGCC AGGCAGCGGAGCACTCACCTGGCCAGGTTGAAGG antisense ENST00000300060 CD13 15627 669 69.18 CDS -1.278230523 0.032967033 -ACAGGGACCTTATGGGCACT AGTGACAGGGACCTTATGGGCACTGGGAATAAAC antisense ENST00000300060 CD13 17168 671 69.39 CDS 1.496028822 0.698901099 -GACAGGGACCTTATGGGCAC GAGTGACAGGGACCTTATGGGCACTGGGAATAAA antisense ENST00000300060 CD13 17169 671 69.39 CDS 1.528599391 0.712087912 -GTTTATTCCCAGTGCCCATA CTCTGTTTATTCCCAGTGCCCATAAGGTCCCTGT sense ENST00000300060 CD13 17172 672 69.49 CDS -0.416668566 0.204395604 -CAGAGTGACAGGGACCTTAT GCGCCAGAGTGACAGGGACCTTATGGGCACTGGG antisense ENST00000300060 CD13 17175 673 69.6 CDS -0.653716918 0.16043956 -CCAGAGTGACAGGGACCTTA AGCGCCAGAGTGACAGGGACCTTATGGGCACTGG antisense ENST00000300060 CD13 17176 673 69.6 CDS -0.253599851 0.226373626 -TGTTCAGCGCCAGAGTGACA GTGTTGTTCAGCGCCAGAGTGACAGGGACCTTAT antisense ENST00000300060 CD13 17185 676 69.91 CDS 1.971642561 0.881318681 -TTGTTCAGCGCCAGAGTGAC GGTGTTGTTCAGCGCCAGAGTGACAGGGACCTTA antisense ENST00000300060 CD13 17186 677 70.01 CDS -0.522190698 0.191208791 -CCATAAGGTCCCTGTCACTC GTGCCCATAAGGTCCCTGTCACTCTGGCGCTGAA sense ENST00000300060 CD13 17187 677 70.01 CDS 1.697555472 0.773626374 -TCTCTCTTCAATCAGGAAGA ACTGTCTCTCTTCAATCAGGAAGAGGGTGTTGTT antisense ENST00000300060 CD13 17211 685 70.84 CDS 1.85569015 0.832967033 -GTCTCTCTTCAATCAGGAAG TACTGTCTCTCTTCAATCAGGAAGAGGGTGTTGT antisense ENST00000300060 CD13 17212 685 70.84 CDS 1.597530421 0.734065934 -TGTACTGTCTCTCTTCAATC GGCATGTACTGTCTCTCTTCAATCAGGAAGAGGG antisense ENST00000300060 CD13 17218 687 71.04 CDS 1.609982628 0.740659341 -AAGAGAGACAGTACATGCCC ATTGAAGAGAGACAGTACATGCCCTGGGAGGCCG sense ENST00000300060 CD13 17237 694 71.77 CDS 2.447827387 1 -AGAGAGACAGTACATGCCCT TTGAAGAGAGACAGTACATGCCCTGGGAGGCCGC sense ENST00000300060 CD13 17238 694 71.77 CDS 2.233453975 0.964835165 -GAGACAGTACATGCCCTGGG AAGAGAGACAGTACATGCCCTGGGAGGCCGCCCT sense ENST00000300060 CD13 17241 695 71.87 CDS 2.263067998 0.978021978 -CTGCTCAGGGCGGCCTCCCA CAGGCTGCTCAGGGCGGCCTCCCAGGGCATGTAC antisense ENST00000300060 CD13 17243 696 71.98 CDS -0.726928627 0.151648352 -GCTGCTCAGGGCGGCCTCCC TCAGGCTGCTCAGGGCGGCCTCCCAGGGCATGTA antisense ENST00000300060 CD13 17244 696 71.98 CDS -1.468636218 0.004395604 -GTAGCTCAGGCTGCTCAGGG TGAAGTAGCTCAGGCTGCTCAGGGCGGCCTCCCA antisense ENST00000300060 CD13 17253 699 72.29 CDS 2.270348527 0.98021978 -GAAGTAGCTCAGGCTGCTCA GCTTGAAGTAGCTCAGGCTGCTCAGGGCGGCCTC antisense ENST00000300060 CD13 17256 700 72.39 CDS 1.80640601 0.81978022 -TGAAGTAGCTCAGGCTGCTC AGCTTGAAGTAGCTCAGGCTGCTCAGGGCGGCCT antisense ENST00000300060 CD13 17257 700 72.39 CDS 0.969680478 0.520879121 -GCTCATGTTTGACCGCTCCG TCAAGCTCATGTTTGACCGCTCCGAGGTCTATGG sense ENST00000300060 CD13 17292 712 73.63 CDS 2.120282931 0.936263736 -TGGGGCCATAGACCTCGGAG TTCATGGGGCCATAGACCTCGGAGCGGTCAAACA antisense ENST00000300060 CD13 17293 712 73.63 CDS 1.91844989 0.859340659 -CTTCATGGGGCCATAGACCT GTACCTTCATGGGGCCATAGACCTCGGAGCGGTC antisense ENST00000300060 CD13 17298 714 73.84 CDS 1.522298585 0.707692308 -TTTGACCGCTCCGAGGTCTA CATGTTTGACCGCTCCGAGGTCTATGGCCCCATG sense ENST00000300060 CD13 17299 714 73.84 CDS -0.948618606 0.118681319 -CGAGGTCTATGGCCCCATGA GCTCCGAGGTCTATGGCCCCATGAAGGTACGGAG sense ENST00000300060 CD13 17310 718 74.25 CDS 1.123945484 0.573626374 -TGCACCTCCGTACCTTCATG ACCATGCACCTCCGTACCTTCATGGGGCCATAGA antisense ENST00000300060 CD13 17311 718 74.25 CDS 1.938053167 0.874725275 -ATGCACCTCCGTACCTTCAT TACCATGCACCTCCGTACCTTCATGGGGCCATAG antisense ENST00000300060 CD13 17312 719 74.35 CDS -1.063159834 0.085714286 -CATGCACCTCCGTACCTTCA CTACCATGCACCTCCGTACCTTCATGGGGCCATA antisense ENST00000300060 CD13 17313 719 74.35 CDS 0.145359234 0.314285714 -CTGCTTCTTCAGGTAGTTCT TGACCTGCTTCTTCAGGTAGTTCTGGGGAAAAGA antisense ENST00000300060 CD13 21764 720 74.46 CDS -0.868588998 0.136263736 -CCTGCTTCTTCAGGTAGTTC GTGACCTGCTTCTTCAGGTAGTTCTGGGGAAAAG antisense ENST00000300060 CD13 21765 720 74.46 CDS -0.635540714 0.164835165 -GGGGTGTGACCTGCTTCTTC AAGAGGGGTGTGACCTGCTTCTTCAGGTAGTTCT antisense ENST00000300060 CD13 21774 723 74.77 CDS -1.282502815 0.030769231 -CCAGAACTACCTGAAGAAGC TTCCCCAGAACTACCTGAAGAAGCAGGTCACACC sense ENST00000300060 CD13 21776 724 74.87 CDS 1.056549051 0.551648352 -TTTCTGAAGTGAATGAAGAG ATTATTTCTGAAGTGAATGAAGAGGGGTGTGACC antisense ENST00000300060 CD13 21793 730 75.49 CDS 1.457041838 0.672527473 -ATTTCTGAAGTGAATGAAGA TATTATTTCTGAAGTGAATGAAGAGGGGTGTGAC antisense ENST00000300060 CD13 21794 730 75.49 CDS 0.098793283 0.296703297 -TATTTCTGAAGTGAATGAAG GTATTATTTCTGAAGTGAATGAAGAGGGGTGTGA antisense ENST00000300060 CD13 21795 730 75.49 CDS 1.557125476 0.720879121 -TCAGAAATAATACCAACAAC CACTTCAGAAATAATACCAACAACTGGAGGGAGA sense ENST00000300060 CD13 21820 739 76.42 CDS 0.328462433 0.356043956 -TGGGATCTCCCTCCAGTTGT TTTCTGGGATCTCCCTCCAGTTGTTGGTATTATT antisense ENST00000300060 CD13 21821 739 76.42 CDS 0.302031422 0.347252747 -GAAATAATACCAACAACTGG TTCAGAAATAATACCAACAACTGGAGGGAGATCC sense ENST00000300060 CD13 21823 740 76.53 CDS 1.231670302 0.606593407 -AAATAATACCAACAACTGGA TCAGAAATAATACCAACAACTGGAGGGAGATCCC sense ENST00000300060 CD13 21824 740 76.53 CDS 1.745954972 0.789010989 -GGAGATCCCAGAAAACCTGA GGAGGGAGATCCCAGAAAACCTGATGGACCAGTG sense ENST00000300060 CD13 21845 747 77.25 CDS -0.480742379 0.2 -CTCCCACTCACTGGTCCATC AGAGCTCCCACTCACTGGTCCATCAGGTTTTCTG antisense ENST00000300060 CD13 21849 748 77.35 CDS -1.079176909 0.081318681 -CCCCTGGGGCAGGTACAGCG GTCACCCCTGGGGCAGGTACAGCGAGGTTAATGC sense ENST00000300060 CD13 22332 752 77.77 CDS 1.648773921 0.764835165 -GTTGGAGCAGGCGGTGCTGA CTCCGTTGGAGCAGGCGGTGCTGATGGCATTAAC antisense ENST00000300060 CD13 22350 758 78.39 CDS 2.019404543 0.898901099 -TGGAACTCCGTTGGAGCAGG ACTCTGGAACTCCGTTGGAGCAGGCGGTGCTGAT antisense ENST00000300060 CD13 22359 761 78.7 CDS 1.972323862 0.883516484 -CTCTGGAACTCCGTTGGAGC CACACTCTGGAACTCCGTTGGAGCAGGCGGTGCT antisense ENST00000300060 CD13 22362 762 78.8 CDS 1.717165189 0.78021978 -ATCAGCACCGCCTGCTCCAA TGCCATCAGCACCGCCTGCTCCAACGGAGTTCCA sense ENST00000300060 CD13 22363 762 78.8 CDS 1.109942938 0.571428571 -CTCACACTCTGGAACTCCGT TCTCCTCACACTCTGGAACTCCGTTGGAGCAGGC antisense ENST00000300060 CD13 22368 764 79.01 CDS 2.145578329 0.945054945 -GAGACCATCTCCTCACACTC GCCAGAGACCATCTCCTCACACTCTGGAACTCCG antisense ENST00000300060 CD13 22379 768 79.42 CDS 0.629143525 0.404395604 -CAACGGAGTTCCAGAGTGTG GCTCCAACGGAGTTCCAGAGTGTGAGGAGATGGT sense ENST00000300060 CD13 22380 768 79.42 CDS 1.08147861 0.562637363 -AGTTCCAGAGTGTGAGGAGA ACGGAGTTCCAGAGTGTGAGGAGATGGTCTCTGG sense ENST00000300060 CD13 22386 770 79.63 CDS 1.81873951 0.824175824 -GAGTGTGAGGAGATGGTCTC TCCAGAGTGTGAGGAGATGGTCTCTGGCCTTTTC sense ENST00000300060 CD13 22393 772 79.83 CDS -1.316887314 0.021978022 -TCTCCATCCACTGCTTGAAA GGGTTCTCCATCCACTGCTTGAAAAGGCCAGAGA antisense ENST00000300060 CD13 22405 776 80.25 CDS -0.377237823 0.210989011 -ACACTCACGGGTTATTATTG GGAGACACTCACGGGTTATTATTGGGGTTCTCCA antisense ENST00000300060 CD13 22429 784 81.08 CDS 0.795786917 0.463736264 -GACACTCACGGGTTATTATT GGGAGACACTCACGGGTTATTATTGGGGTTCTCC antisense ENST00000300060 CD13 22430 785 81.18 CDS -1.253416564 0.046153846 -AGACACTCACGGGTTATTAT GGGGAGACACTCACGGGTTATTATTGGGGTTCTC antisense ENST00000300060 CD13 22431 785 81.18 CDS -1.460917479 0.008791209 -CCGCAGGTTGGGGTGGATCC TGGACCGCAGGTTGGGGTGGATCCTGGTGTGGGG antisense ENST00000300060 CD13 22564 788 81.49 CDS 0.444614384 0.373626374 -CGGTGGACCGCAGGTTGGGG TAGACGGTGGACCGCAGGTTGGGGTGGATCCTGG antisense ENST00000300060 CD13 22571 790 81.7 CDS 1.479207137 0.681318681 -AGACGGTGGACCGCAGGTTG CAGTAGACGGTGGACCGCAGGTTGGGGTGGATCC antisense ENST00000300060 CD13 22574 791 81.8 CDS 0.758504817 0.459340659 -CCAGGATCCACCCCAACCTG CACACCAGGATCCACCCCAACCTGCGGTCCACCG sense ENST00000300060 CD13 22575 792 81.9 CDS 2.139608773 0.942857143 -TAGACGGTGGACCGCAGGTT GCAGTAGACGGTGGACCGCAGGTTGGGGTGGATC antisense ENST00000300060 CD13 22575 792 81.9 CDS 0.759465055 0.461538462 -GTAGACGGTGGACCGCAGGT TGCAGTAGACGGTGGACCGCAGGTTGGGGTGGAT antisense ENST00000300060 CD13 22576 792 81.9 CDS 2.007838188 0.894505495 -TGCAGTAGACGGTGGACCGC GCGTTGCAGTAGACGGTGGACCGCAGGTTGGGGT antisense ENST00000300060 CD13 22580 793 82.01 CDS 1.775490047 0.797802198 -GATAGCGTTGCAGTAGACGG GGGCGATAGCGTTGCAGTAGACGGTGGACCGCAG antisense ENST00000300060 CD13 22588 796 82.32 CDS 1.90465935 0.854945055 -GGCGATAGCGTTGCAGTAGA CCTGGGCGATAGCGTTGCAGTAGACGGTGGACCG antisense ENST00000300060 CD13 22591 797 82.42 CDS -1.462172474 0.006593407 -CTACTGCAACGCTATCGCCC CCGTCTACTGCAACGCTATCGCCCAGGGCGGGGA sense ENST00000300060 CD13 22606 802 82.94 CDS 2.050962917 0.907692308 -TACTGCAACGCTATCGCCCA CGTCTACTGCAACGCTATCGCCCAGGGCGGGGAG sense ENST00000300060 CD13 22607 802 82.94 CDS -1.191752997 0.063736264 -TGCAACGCTATCGCCCAGGG CTACTGCAACGCTATCGCCCAGGGCGGGGAGGAG sense ENST00000300060 CD13 22610 803 83.04 CDS 1.47388455 0.679120879 -GCAACGCTATCGCCCAGGGC TACTGCAACGCTATCGCCCAGGGCGGGGAGGAGG sense ENST00000300060 CD13 22611 804 83.14 CDS 1.834610612 0.828571429 -CAACGCTATCGCCCAGGGCG ACTGCAACGCTATCGCCCAGGGCGGGGAGGAGGA sense ENST00000300060 CD13 22612 804 83.14 CDS -1.269762111 0.041758242 -CGCTATCGCCCAGGGCGGGG GCAACGCTATCGCCCAGGGCGGGGAGGAGGAGTG sense ENST00000300060 CD13 22615 805 83.25 CDS -0.589486792 0.178021978 -TATCGCCCAGGGCGGGGAGG ACGCTATCGCCCAGGGCGGGGAGGAGGAGTGGGA sense ENST00000300060 CD13 22618 806 83.35 CDS -0.548011486 0.18021978 -TCATCAGAACAATGACACTC GCCCTCATCAGAACAATGACACTCAGGCTGCTGT sense ENSMUST00000027165 CD28 148 3 1.38 CDS 6.082690358 0.986842105 -TTCTTCTCAGTTCAAGTAAC CAACTTCTTCTCAGTTCAAGTAACAGGTAAGCAA sense ENSMUST00000027165 CD28 192 17 7.8 CDS 5.792838131 0.881578947 -GACACTCAGGCTGCTGTTCT CAATGACACTCAGGCTGCTGTTCTTGGCTCTCAA sense ENSMUST00000027165 CD28 161 7 3.21 CDS 5.674047818 0.815789474 -AGTCATCTCCTAAGCTGTTT ACTCAGTCATCTCCTAAGCTGTTTTGGGCACTGG sense ENSMUST00000027165 CD28 18983 151 69.27 CDS 0.364563967 0.131578947 -TGGGCACTGGTCGTGGTTGC GTTTTGGGCACTGGTCGTGGTTGCTGGAGTCCTG sense ENSMUST00000027165 CD28 19003 157 72.02 CDS 4.59026119 0.486842105 -CAGTGGCTCTTTGTGTTATC GTGACAGTGGCTCTTTGTGTTATCTGGGTAAGAG sense ENSMUST00000027165 CD28 19055 175 80.28 CDS -2.448567067 0.039473684 -TTATGGCTTGCTAGTGACAG TTTGTTATGGCTTGCTAGTGACAGTGGCTCTTTG sense ENSMUST00000027165 CD28 19038 169 77.52 CDS 5.528303776 0.75 -AGTGGCTCTTTGTGTTATCT TGACAGTGGCTCTTTGTGTTATCTGGGTAAGAGG sense ENSMUST00000027165 CD28 19056 175 80.28 CDS 4.038681271 0.342105263 -ACCAGTGCCCAAAACAGCTT CACGACCAGTGCCCAAAACAGCTTAGGAGATGAC antisense ENSMUST00000027165 CD28 18980 150 68.81 CDS 5.749319227 0.842105263 -CTAGCAAGCCATAACAAAAC GTCACTAGCAAGCCATAACAAAACAGGACTCCAG antisense ENSMUST00000027165 CD28 19018 162 74.31 CDS 4.595604445 0.5 -CCCCCTAGACAAATAGTAGA TTCCCCCCCTAGACAAATAGTAGAAGGAACAGAC sense ENSMUST00000027165 CD28 23334 180 82.57 CDS 2.696632835 0.25 -GCAGCGTACCGCCCCTGACA CTTTGCAGCGTACCGCCCCTGACAGGGACCCCTA sense ENSMUST00000027165 CD28 23453 CDS 4.707236107 0.526315789 -ACATGAACATGACTCCCCGG GACTACATGAACATGACTCCCCGGAGGCCTGGGC sense ENSMUST00000027165 CD28 23379 195 89.45 CDS 5.726469909 0.828947368 -ACTACATGAACATGACTCCC AGTGACTACATGAACATGACTCCCCGGAGGCCTG sense ENSMUST00000027165 CD28 23376 194 88.99 CDS 5.201426174 0.710526316 -AACATGACTCCCCGGAGGCC CATGAACATGACTCCCCGGAGGCCTGGGCTCACT sense ENSMUST00000027165 CD28 23384 196 89.91 CDS -2.033362177 0.052631579 -TGCAGCGTACCGCCCCTGAC ACTTTGCAGCGTACCGCCCCTGACAGGGACCCCT sense ENSMUST00000027165 CD28 23452 CDS 4.04529061 0.355263158 -ACATGACTCCCCGGAGGCCT ATGAACATGACTCCCCGGAGGCCTGGGCTCACTC sense ENSMUST00000027165 CD28 23385 197 90.37 CDS 0.067505951 0.118421053 -TTCCTTCTACTATTTGTCTA TCTGTTCCTTCTACTATTTGTCTAGGGGGGGAAA antisense ENSMUST00000027165 CD28 23325 177 81.19 I/CDS -0.181216066 0.105263158 -TTCGAGTGAGCCCAGGCCTC GGCTTTCGAGTGAGCCCAGGCCTCCGGGGAGTCA antisense ENSMUST00000027165 CD28 23384 196 89.91 CDS 3.879605784 0.315789474 -ATAGGGGTCCCTGTCAGGGG CTGGATAGGGGTCCCTGTCAGGGGCGGTACGCTG antisense ENSMUST00000027165 CD28 23450 218 100 CDS 5.398721941 0.736842105 -GCAGGGGCGTAGGGCTGGTA TCTGGCAGGGGCGTAGGGCTGGTAAGGCTTTCGA antisense ENSMUST00000027165 CD28 23409 205 94.04 CDS 4.376920502 0.434210526 -AAGTCTCTGGCAGGGGCGTA TGCAAAGTCTCTGGCAGGGGCGTAGGGCTGGTAA antisense ENSMUST00000027165 CD28 23418 208 95.41 CDS 4.982444262 0.644736842 -CTGGATAGGGGTCCCTGTCA GCTTCTGGATAGGGGTCCCTGTCAGGGGCGGTAC antisense ENSMUST00000027165 CD28 23454 CDS/3U 3.077436725 0.276315789 -CGCTGCAAAGTCTCTGGCAG GGTACGCTGCAAAGTCTCTGGCAGGGGCGTAGGG antisense ENSMUST00000027165 CD28 23425 210 96.33 CDS 4.317830518 0.407894737 -TACGCTGCAAAGTCTCTGGC GCGGTACGCTGCAAAGTCTCTGGCAGGGGCGTAG antisense ENSMUST00000027165 CD28 23427 211 96.79 CDS 2.573153848 0.223684211 -CTCTGGCAGGGGCGTAGGGC AAGTCTCTGGCAGGGGCGTAGGGCTGGTAAGGCT antisense ENSMUST00000027165 CD28 23414 206 94.5 CDS 4.806947055 0.565789474 -TGGATAGGGGTCCCTGTCAG CTTCTGGATAGGGGTCCCTGTCAGGGGCGGTACG antisense ENSMUST00000027165 CD28 23453 CDS 3.782111697 0.302631579 -CGAGTGAGCCCAGGCCTCCG CTTTCGAGTGAGCCCAGGCCTCCGGGGAGTCATG antisense ENSMUST00000027165 CD28 23382 196 89.91 CDS 5.194715307 0.697368421 -TCGAGTGAGCCCAGGCCTCC GCTTTCGAGTGAGCCCAGGCCTCCGGGGAGTCAT antisense ENSMUST00000027165 CD28 23383 196 89.91 CDS 4.835330607 0.605263158 -GTTCCTTCTACTATTTGTCT GTCTGTTCCTTCTACTATTTGTCTAGGGGGGGAA antisense ENSMUST00000027165 CD28 23326 177 81.19 CDS 4.543206809 0.447368421 -GCGGTACGCTGCAAAGTCTC AGGGGCGGTACGCTGCAAAGTCTCTGGCAGGGGC antisense ENSMUST00000027165 CD28 23431 212 97.25 CDS 3.077168175 0.263157895 -ACGCTGCAAAGTCTCTGGCA CGGTACGCTGCAAAGTCTCTGGCAGGGGCGTAGG antisense ENSMUST00000027165 CD28 23426 210 96.33 CDS 4.896278147 0.631578947 -TGTTCATGTAGTCACTTTGA GTCATGTTCATGTAGTCACTTTGAAGGAGTCTGT antisense ENSMUST00000027165 CD28 23354 186 85.32 CDS 2.521024029 0.210526316 -TAAGGCTTTCGAGTGAGCCC CTGGTAAGGCTTTCGAGTGAGCCCAGGCCTCCGG antisense ENSMUST00000027165 CD28 23391 199 91.28 CDS 4.55587531 0.473684211 -AAAGTCTCTGGCAGGGGCGT CTGCAAAGTCTCTGGCAGGGGCGTAGGGCTGGTA antisense ENSMUST00000027165 CD28 23419 208 95.41 CDS 4.646941913 0.513157895 -GCGACGTGGAAGTCTGTGTC AACAGCGACGTGGAAGTCTGTGTCGGGAATGGGA sense ENSMUST00000027165 CD28 16793 68 31.19 CDS 4.549729157 0.460526316 -CAAGGGCGTGAACAGCGACG TGTACAAGGGCGTGAACAGCGACGTGGAAGTCTG sense ENSMUST00000027165 CD28 16779 63 28.9 CDS 5.284529212 0.723684211 -AGCGACGTGGAAGTCTGTGT GAACAGCGACGTGGAAGTCTGTGTCGGGAATGGG sense ENSMUST00000027165 CD28 16792 67 30.73 CDS 4.78942479 0.552631579 -CTAGACAACGAGAGGAGCAA TTACCTAGACAACGAGAGGAGCAATGGAACTATT sense ENSMUST00000027165 CD28 16978 129 59.17 CDS 5.94964423 0.973684211 -AATGCCGAGTTCAACTGCGA CTCGAATGCCGAGTTCAACTGCGACGGGGATTTC sense ENSMUST00000027165 CD28 16852 87 39.91 CDS 4.831094696 0.592105263 -TGGAAGTCTGTGTCGGGAAT GACGTGGAAGTCTGTGTCGGGAATGGGAATTTTA sense ENSMUST00000027165 CD28 16799 70 32.11 CDS 0.533466072 0.157894737 -TTCCGGGCATCCCTGTACAA GGAATTCCGGGCATCCCTGTACAAGGGCGTGAAC sense ENSMUST00000027165 CD28 16762 57 26.15 CDS 5.77780099 0.868421053 -ATGCCGAGTTCAACTGCGAC TCGAATGCCGAGTTCAACTGCGACGGGGATTTCG sense ENSMUST00000027165 CD28 16853 88 40.37 CDS -1.659819009 0.065789474 -AAACAGTGACGTTCCGTCTC AACGAAACAGTGACGTTCCGTCTCTGGAATCTGC sense ENSMUST00000027165 CD28 16889 100 45.87 CDS -5.075405126 0.013157895 -ATTCCGGGCATCCCTGTACA AGGAATTCCGGGCATCCCTGTACAAGGGCGTGAA sense ENSMUST00000027165 CD28 16761 57 26.15 CDS 5.14731479 0.671052632 -CGCCTTACCTAGACAACGAG CCTCCGCCTTACCTAGACAACGAGAGGAGCAATG sense ENSMUST00000027165 CD28 16970 127 58.26 CDS 5.596672134 0.776315789 -GCTTGTGGTAGATAGCAACG CCCTGCTTGTGGTAGATAGCAACGAGGTCAGCCT sense ENSMUST00000027165 CD28 16695 35 16.06 CDS 5.883569619 0.921052632 -CCCTTCAGAAAACAAGATTT TTTTCCCTTCAGAAAACAAGATTTTGGTAAAGCA sense ENSMUST00000027165 CD28 16656 22 10.09 CDS 5.011181696 0.657894737 -GGAACTATTATTCACATAAA CAATGGAACTATTATTCACATAAAAGGTAACACG sense ENSMUST00000027165 CD28 16999 136 62.39 CDS 3.903307923 0.328947368 -ACGAGGTCAGCCTCAGCTGC AGCAACGAGGTCAGCCTCAGCTGCAGGTATTCCT sense ENSMUST00000027165 CD28 16712 41 18.81 CDS 4.817690575 0.578947368 -GTGGAAGTCTGTGTCGGGAA CGACGTGGAAGTCTGTGTCGGGAATGGGAATTTT sense ENSMUST00000027165 CD28 16798 69 31.65 CDS -1.534275706 0.078947368 -AAAGCAGTCGCCCCTGCTTG TGGTAAAGCAGTCGCCCCTGCTTGTGGTAGATAG sense ENSMUST00000027165 CD28 16680 30 13.76 CDS 4.349996647 0.421052632 -TTCCTACAACCTTCTCGCAA GGTATTCCTACAACCTTCTCGCAAAGGAATTCCG sense ENSMUST00000027165 CD28 16737 49 22.48 CDS 3.343023591 0.289473684 -CCTTCTCGCAAAGGAATTCC ACAACCTTCTCGCAAAGGAATTCCGGGCATCCCT sense ENSMUST00000027165 CD28 16746 52 23.85 CDS 2.600265208 0.236842105 -TGCCGAGTTCAACTGCGACG CGAATGCCGAGTTCAACTGCGACGGGGATTTCGA sense ENSMUST00000027165 CD28 16854 88 40.37 CDS 4.874049748 0.618421053 -ACCTTCTCGCAAAGGAATTC TACAACCTTCTCGCAAAGGAATTCCGGGCATCCC sense ENSMUST00000027165 CD28 16745 52 23.85 CDS 1.150188505 0.184210526 -TTGCTATCTACCACAAGCAG CTCGTTGCTATCTACCACAAGCAGGGGCGACTGC antisense ENSMUST00000027165 CD28 16679 30 13.76 CDS 5.898545008 0.934210526 -GCTGTTCACGCCCTTGTACA CGTCGCTGTTCACGCCCTTGTACAGGGATGCCCG antisense ENSMUST00000027165 CD28 16761 57 26.15 CDS 5.666636529 0.802631579 -TGACGTGCAGATTCCAGAGA TGATTGACGTGCAGATTCCAGAGACGGAACGTCA antisense ENSMUST00000027165 CD28 16891 100 45.87 CDS 5.87601983 0.907894737 -CTCTCGTTGTCTAGGTAAGG GCTCCTCTCGTTGTCTAGGTAAGGCGGAGGGTAC antisense ENSMUST00000027165 CD28 16958 123 56.42 CDS 5.864481758 0.894736842 -CGAGCGAAACTGGGGCTGAT CATTCGAGCGAAACTGGGGCTGATAGGTAAAATT antisense ENSMUST00000027165 CD28 16818 76 34.86 CDS 4.124011847 0.368421053 -ACTCGGCATTCGAGCGAAAC TTGAACTCGGCATTCGAGCGAAACTGGGGCTGAT antisense ENSMUST00000027165 CD28 16828 79 36.24 CDS 0.473279144 0.144736842 -CTCCTCTCGTTGTCTAGGTA ATTGCTCCTCTCGTTGTCTAGGTAAGGCGGAGGG antisense ENSMUST00000027165 CD28 16961 124 56.88 CDS 5.626570212 0.789473684 -ATCCCCGTCGCAGTTGAACT CGAAATCCCCGTCGCAGTTGAACTCGGCATTCGA antisense ENSMUST00000027165 CD28 16845 85 38.99 CDS 4.194336437 0.394736842 -TCGTTGTCTAGGTAAGGCGG CCTCTCGTTGTCTAGGTAAGGCGGAGGGTACATG antisense ENSMUST00000027165 CD28 16955 122 55.96 CDS 5.550629315 0.763157895 -CGCCCTTGTACAGGGATGCC TTCACGCCCTTGTACAGGGATGCCCGGAATTCCT antisense ENSMUST00000027165 CD28 16753 54 24.77 CDS -0.471919723 0.092105263 -TCGGCATTCGAGCGAAACTG GAACTCGGCATTCGAGCGAAACTGGGGCTGATAG antisense ENSMUST00000027165 CD28 16826 79 36.24 CDS 5.750602916 0.855263158 -CCCGGAATTCCTTTGCGAGA GATGCCCGGAATTCCTTTGCGAGAAGGTTGTAGG antisense ENSMUST00000027165 CD28 16735 48 22.02 CDS 1.388905402 0.197368421 -CTCGGCATTCGAGCGAAACT TGAACTCGGCATTCGAGCGAAACTGGGGCTGATA antisense ENSMUST00000027165 CD28 16827 79 36.24 CDS -2.780351423 0.026315789 -GTTGCTATCTACCACAAGCA CCTCGTTGCTATCTACCACAAGCAGGGGCGACTG antisense ENSMUST00000027165 CD28 16680 30 13.76 CDS 6.305268628 1 -CATTGCTCCTCTCGTTGTCT GTTCCATTGCTCCTCTCGTTGTCTAGGTAAGGCG antisense ENSMUST00000027165 CD28 16966 125 57.34 CDS 4.762204362 0.539473684 -TGTAGGAATACCTGCAGCTG AGGTTGTAGGAATACCTGCAGCTGAGGCTGACCT antisense ENSMUST00000027165 CD28 16711 40 18.35 CDS 5.916097371 0.947368421 -TTCCTTTGCGAGAAGGTTGT GGAATTCCTTTGCGAGAAGGTTGTAGGAATACCT antisense ENSMUST00000027165 CD28 16728 46 21.1 CDS 5.175215914 0.684210526 -CGTTGTCTAGGTAAGGCGGA CTCTCGTTGTCTAGGTAAGGCGGAGGGTACATGA antisense ENSMUST00000027165 CD28 16954 121 55.5 CDS 5.925934688 0.960526316 -CGCTGTTCACGCCCTTGTAC ACGTCGCTGTTCACGCCCTTGTACAGGGATGCCC antisense ENSMUST00000027165 CD28 16762 57 26.15 CDS 1.116483817 0.171052632 -CGTTGCTATCTACCACAAGC ACCTCGTTGCTATCTACCACAAGCAGGGGCGACT antisense ENSMUST00000027165 CD28 16681 30 13.76 CDS 4.133713224 0.381578947 -CAGCACTTCGTGGGAGTCCA CCAGCAGCACTTCGTGGGAGTCCATGGATAATGG antisense ENSMUST00000025571 CD5 158 2 0.4 CDS 1.733495976 0.301886792 -GGCAGCCAGCAGCACTTCGT ATGTGGCAGCCAGCAGCACTTCGTGGGAGTCCAT antisense ENSMUST00000025571 CD5 167 5 1.01 CDS 3.845201574 0.735849057 -TGGCAGCCAGCAGCACTTCG TATGTGGCAGCCAGCAGCACTTCGTGGGAGTCCA antisense ENSMUST00000025571 CD5 168 5 1.01 CDS 4.368070875 0.932075472 -GGACTCCCACGAAGTGCTGC CCATGGACTCCCACGAAGTGCTGCTGGCTGCCAC sense ENSMUST00000025571 CD5 173 7 1.42 CDS 3.554625284 0.641509434 -CAGCGTTCCCAGCAGGTATG CACCCAGCGTTCCCAGCAGGTATGTGGCAGCCAG antisense ENSMUST00000025571 CD5 188 12 2.43 CDS 4.423033183 0.947169811 -GCTGGCTGCCACATACCTGC TGCTGCTGGCTGCCACATACCTGCTGGGAACGCT sense ENSMUST00000025571 CD5 191 13 2.63 CDS 4.255369163 0.894339623 -CTGGCTGCCACATACCTGCT GCTGCTGGCTGCCACATACCTGCTGGGAACGCTG sense ENSMUST00000025571 CD5 192 13 2.63 CDS 4.324419552 0.916981132 -ACTCACCCAGCGTTCCCAGC AGAGACTCACCCAGCGTTCCCAGCAGGTATGTGG antisense ENSMUST00000025571 CD5 195 14 2.83 CDS 3.572632261 0.649056604 -CACATACCTGCTGGGAACGC CTGCCACATACCTGCTGGGAACGCTGGGTGAGTC sense ENSMUST00000025571 CD5 200 16 3.24 CDS 3.45301286 0.60754717 -ACATACCTGCTGGGAACGCT TGCCACATACCTGCTGGGAACGCTGGGTGAGTCT sense ENSMUST00000025571 CD5 201 16 3.24 CDS 3.889397557 0.754716981 -TCCGAGGCAGAAAGCCGCTG ACTGTCCGAGGCAGAAAGCCGCTGTGGAAAAGGG antisense ENSMUST00000025571 CD5 8746 18 3.64 I/CDS 3.684462218 0.671698113 -TCCACAGCGGCTTTCTGCCT CTTTTCCACAGCGGCTTTCTGCCTCGGACAGTCT sense ENSMUST00000025571 CD5 8756 21 4.25 CDS -6.603273149 0.003773585 -CACCCCTTCCAGACTGTCCG AGGCCACCCCTTCCAGACTGTCCGAGGCAGAAAG antisense ENSMUST00000025571 CD5 8762 23 4.66 CDS 4.089965028 0.841509434 -GCTTTCTGCCTCGGACAGTC AGCGGCTTTCTGCCTCGGACAGTCTGGAAGGGGT sense ENSMUST00000025571 CD5 8765 24 4.86 CDS -1.765312053 0.060377358 -TCTGCCTCGGACAGTCTGGA GCTTTCTGCCTCGGACAGTCTGGAAGGGGTGGCC sense ENSMUST00000025571 CD5 8769 26 5.26 CDS 3.872656559 0.750943396 -CTGCCTCGGACAGTCTGGAA CTTTCTGCCTCGGACAGTCTGGAAGGGGTGGCCT sense ENSMUST00000025571 CD5 8770 26 5.26 CDS 1.833072554 0.316981132 -TGCCTCGGACAGTCTGGAAG TTTCTGCCTCGGACAGTCTGGAAGGGGTGGCCTA sense ENSMUST00000025571 CD5 8771 26 5.26 CDS 3.682419263 0.667924528 -CTCGGACAGTCTGGAAGGGG CTGCCTCGGACAGTCTGGAAGGGGTGGCCTAGGT sense ENSMUST00000025571 CD5 8774 27 5.47 CDS 3.571271356 0.645283019 -CAGTCTGGAAGGGGTGGCCT CGGACAGTCTGGAAGGGGTGGCCTAGGTAAGAAA sense ENSMUST00000025571 CD5 8780 29 5.87 CDS -2.275585973 0.033962264 -TGGAGCCACTTAGCATCACC GAATTGGAGCCACTTAGCATCACCTGGATATCTG antisense ENSMUST00000025571 CD5 12405 34 6.88 CDS 2.156719601 0.350943396 -GATATCCAGGTGATGCTAAG CTCAGATATCCAGGTGATGCTAAGTGGCTCCAAT sense ENSMUST00000025571 CD5 12411 36 7.29 CDS 4.486538145 0.969811321 -TTGACCCTGACACTTGGAAT CCACTTGACCCTGACACTTGGAATTGGAGCCACT antisense ENSMUST00000025571 CD5 12425 41 8.3 CDS 2.937220588 0.479245283 -TGGCTCCAATTCCAAGTGTC TAAGTGGCTCCAATTCCAAGTGTCAGGGTCAAGT sense ENSMUST00000025571 CD5 12431 43 8.7 CDS 2.574926225 0.396226415 -CTCCACTTGACCCTGACACT GGATCTCCACTTGACCCTGACACTTGGAATTGGA antisense ENSMUST00000025571 CD5 12431 43 8.7 CDS 3.28099272 0.547169811 -GGCTCCAATTCCAAGTGTCA AAGTGGCTCCAATTCCAAGTGTCAGGGTCAAGTG sense ENSMUST00000025571 CD5 12432 43 8.7 CDS 4.438997379 0.958490566 -TTCCAAGTGTCAGGGTCAAG CCAATTCCAAGTGTCAGGGTCAAGTGGAGATCCA sense ENSMUST00000025571 CD5 12440 46 9.31 CDS 3.673539951 0.664150943 -GGGTCAAGTGGAGATCCAGA GTCAGGGTCAAGTGGAGATCCAGATGGAAAACAA sense ENSMUST00000025571 CD5 12452 50 10.12 CDS 4.60785407 0.981132075 -AGATCCAGATGGAAAACAAG GTGGAGATCCAGATGGAAAACAAGTGGAAAACAG sense ENSMUST00000025571 CD5 12463 54 10.93 CDS 4.078822373 0.826415094 -AAACAGTGTGCAGTTCCAGT TGGAAAACAGTGTGCAGTTCCAGTTGGAGGCTGA sense ENSMUST00000025571 CD5 12487 62 12.55 CDS 3.852672274 0.743396226 -CAGTGTGCAGTTCCAGTTGG AAAACAGTGTGCAGTTCCAGTTGGAGGCTGAGCC sense ENSMUST00000025571 CD5 12490 63 12.75 CDS 4.219508991 0.883018868 -GTCCTGGCTCAGCCTCCAAC AATGGTCCTGGCTCAGCCTCCAACTGGAACTGCA antisense ENSMUST00000025571 CD5 12491 63 12.75 CDS 3.794385261 0.709433962 -TTCCAGTTGGAGGCTGAGCC GCAGTTCCAGTTGGAGGCTGAGCCAGGACCATTC sense ENSMUST00000025571 CD5 12500 66 13.36 CDS -4.92661599 0.011320755 -CCATTCGAAAAATGCCCAGC AGGACCATTCGAAAAATGCCCAGCAGGCCTCTGC sense ENSMUST00000025571 CD5 12524 74 14.98 CDS 2.624524213 0.40754717 -GCACACTGCAGAGGCCTGCT GTTTGCACACTGCAGAGGCCTGCTGGGCATTTTT antisense ENSMUST00000025571 CD5 12527 75 15.18 CDS 4.12484656 0.856603774 -TGCACACTGCAGAGGCCTGC TGTTTGCACACTGCAGAGGCCTGCTGGGCATTTT antisense ENSMUST00000025571 CD5 12528 75 15.18 CDS -0.588411396 0.124528302 -CAGCTGTTTGCACACTGCAG ATCTCAGCTGTTTGCACACTGCAGAGGCCTGCTG antisense ENSMUST00000025571 CD5 12536 78 15.79 CDS 3.787015985 0.705660377 -GTGTGCAAACAGCTGAGATG TGCAGTGTGCAAACAGCTGAGATGTGGTGACCCC sense ENSMUST00000025571 CD5 12555 84 17 CDS 4.40269178 0.943396226 -GCTGAGATGTGGTGACCCCT AACAGCTGAGATGTGGTGACCCCTTGGCCCTTGG sense ENSMUST00000025571 CD5 12566 88 17.81 CDS 4.134791293 0.860377358 -GGAAAGGACCAAGGGCCAAG GAAGGGAAAGGACCAAGGGCCAAGGGGTCACCAC antisense ENSMUST00000025571 CD5 12570 89 18.02 CDS 4.703819948 0.996226415 -GGGAAAGGACCAAGGGCCAA TGAAGGGAAAGGACCAAGGGCCAAGGGGTCACCA antisense ENSMUST00000025571 CD5 12571 90 18.22 CDS 4.642150422 0.98490566 -AGGGAAAGGACCAAGGGCCA ATGAAGGGAAAGGACCAAGGGCCAAGGGGTCACC antisense ENSMUST00000025571 CD5 12572 90 18.22 CDS 1.725126177 0.294339623 -TGTGGTGACCCCTTGGCCCT GAGATGTGGTGACCCCTTGGCCCTTGGTCCTTTC sense ENSMUST00000025571 CD5 12573 90 18.22 CDS 3.318968667 0.562264151 -CAATGAAGGGAAAGGACCAA TGTTCAATGAAGGGAAAGGACCAAGGGCCAAGGG antisense ENSMUST00000025571 CD5 12578 92 18.62 CDS 4.694240124 0.99245283 -TCAATGAAGGGAAAGGACCA CTGTTCAATGAAGGGAAAGGACCAAGGGCCAAGG antisense ENSMUST00000025571 CD5 12579 92 18.62 CDS 3.899359636 0.758490566 -GGTCTGTTCAATGAAGGGAA CTGGGGTCTGTTCAATGAAGGGAAAGGACCAAGG antisense ENSMUST00000025571 CD5 12586 95 19.23 CDS 4.569725879 0.977358491 -TCTGGGGTCTGTTCAATGAA TGGTTCTGGGGTCTGTTCAATGAAGGGAAAGGAC antisense ENSMUST00000025571 CD5 12591 96 19.43 CDS 4.448357554 0.962264151 -TTCTGGGGTCTGTTCAATGA CTGGTTCTGGGGTCTGTTCAATGAAGGGAAAGGA antisense ENSMUST00000025571 CD5 12592 97 19.64 CDS 3.302354505 0.550943396 -TGGCAGAAGACCTGGTTCTG TCCTTGGCAGAAGACCTGGTTCTGGGGTCTGTTC antisense ENSMUST00000025571 CD5 12607 102 20.65 CDS 3.838378722 0.728301887 -ATTGAACAGACCCCAGAACC CTTCATTGAACAGACCCCAGAACCAGGTCTTCTG sense ENSMUST00000025571 CD5 12608 102 20.65 CDS 3.79517947 0.713207547 -TTGGCAGAAGACCTGGTTCT ATCCTTGGCAGAAGACCTGGTTCTGGGGTCTGTT antisense ENSMUST00000025571 CD5 12608 102 20.65 CDS 3.214460259 0.535849057 -CTTGGCAGAAGACCTGGTTC GATCCTTGGCAGAAGACCTGGTTCTGGGGTCTGT antisense ENSMUST00000025571 CD5 12609 102 20.65 CDS 2.826075497 0.464150943 -GAGATCCTTGGCAGAAGACC CACGGAGATCCTTGGCAGAAGACCTGGTTCTGGG antisense ENSMUST00000025571 CD5 12615 104 21.05 CDS 4.099064501 0.849056604 -CAGAACCAGGTCTTCTGCCA ACCCCAGAACCAGGTCTTCTGCCAAGGATCTCCG sense ENSMUST00000025571 CD5 12621 106 21.46 CDS 2.228317797 0.373584906 -ATATAGACCACGGAGATCCT TTGGATATAGACCACGGAGATCCTTGGCAGAAGA antisense ENSMUST00000025571 CD5 12627 108 21.86 CDS 4.394254498 0.939622642 -TCTTCTGCCAAGGATCTCCG CAGGTCTTCTGCCAAGGATCTCCGTGGTCTATAT sense ENSMUST00000025571 CD5 12631 110 22.27 CDS 4.433205339 0.954716981 -TTGCAGTTGGATATAGACCA GTTGTTGCAGTTGGATATAGACCACGGAGATCCT antisense ENSMUST00000025571 CD5 12637 112 22.67 CDS 4.740019952 1 -TGAACTTGTGTTGTTGCAGT CTTGTGAACTTGTGTTGTTGCAGTTGGATATAGA antisense ENSMUST00000025571 CD5 12650 116 23.48 CDS 0.784825971 0.20754717 -TCAGGCTCAGCGGAAGGCAC CAGATCAGGCTCAGCGGAAGGCACTGGTCTTGTG antisense ENSMUST00000025571 CD5 12678 125 25.3 CDS 4.205816005 0.879245283 -GGCAGATCAGGCTCAGCGGA CCTAGGCAGATCAGGCTCAGCGGAAGGCACTGGT antisense ENSMUST00000025571 CD5 12684 127 25.71 CDS 4.649815615 0.988679245 -CCTAGGCAGATCAGGCTCAG CCCACCTAGGCAGATCAGGCTCAGCGGAAGGCAC antisense ENSMUST00000025571 CD5 12688 129 26.11 CDS 4.457535403 0.966037736 -ATCACCCACCTAGGCAGATC CATTATCACCCACCTAGGCAGATCAGGCTCAGCG antisense ENSMUST00000025571 CD5 12696 131 26.52 CDS 3.455624764 0.61509434 -CCGCTGAGCCTGATCTGCCT CCTTCCGCTGAGCCTGATCTGCCTAGGTGGGTGA sense ENSMUST00000025571 CD5 12699 132 26.72 CDS 4.226609877 0.886792453 -CTGAGCCTGATCTGCCTAGG TCCGCTGAGCCTGATCTGCCTAGGTGGGTGATAA sense ENSMUST00000025571 CD5 12702 133 26.92 CDS 4.199341018 0.875471698 -TGAGCCTGATCTGCCTAGGT CCGCTGAGCCTGATCTGCCTAGGTGGGTGATAAT sense ENSMUST00000025571 CD5 12703 134 27.13 CDS 4.281085127 0.901886792 -GGTGGAGGTGTCGTTCTCTG TGTGGGTGGAGGTGTCGTTCTCTGGGGCTCTGCA antisense ENSMUST00000025571 CD5 13116 137 27.73 CDS 2.906109959 0.475471698 -GGGTGGAGGTGTCGTTCTCT TTGTGGGTGGAGGTGTCGTTCTCTGGGGCTCTGC antisense ENSMUST00000025571 CD5 13117 137 27.73 CDS 0.184014109 0.169811321 -TGGGTGGAGGTGTCGTTCTC GTTGTGGGTGGAGGTGTCGTTCTCTGGGGCTCTG antisense ENSMUST00000025571 CD5 13118 137 27.73 CDS -5.834456649 0.00754717 -GTGGGTGGGGTGGTTGTGGG GGTGGTGGGTGGGGTGGTTGTGGGTGGAGGTGTC antisense ENSMUST00000025571 CD5 13134 143 28.95 CDS 1.561463497 0.275471698 -GTGGTGGGTGGGGTGGTTGT CACGGTGGTGGGTGGGGTGGTTGTGGGTGGAGGT antisense ENSMUST00000025571 CD5 13137 144 29.15 CDS 1.172371058 0.237735849 -GGTGGTGGGTGGGGTGGTTG GCACGGTGGTGGGTGGGGTGGTTGTGGGTGGAGG antisense ENSMUST00000025571 CD5 13138 144 29.15 CDS -1.946556449 0.052830189 -CGGCACGGTGGTGGGTGGGG GCTCCGGCACGGTGGTGGGTGGGGTGGTTGTGGG antisense ENSMUST00000025571 CD5 13144 146 29.55 CDS 0.51491021 0.18490566 -CTCCGGCACGGTGGTGGGTG TGGGCTCCGGCACGGTGGTGGGTGGGGTGGTTGT antisense ENSMUST00000025571 CD5 13147 147 29.76 CDS 0.718039739 0.203773585 -GCTCCGGCACGGTGGTGGGT GTGGGCTCCGGCACGGTGGTGGGTGGGGTGGTTG antisense ENSMUST00000025571 CD5 13148 147 29.76 CDS 2.409454794 0.388679245 -GGCTCCGGCACGGTGGTGGG TGTGGGCTCCGGCACGGTGGTGGGTGGGGTGGTT antisense ENSMUST00000025571 CD5 13149 148 29.96 CDS 3.360804744 0.569811321 -GTGGGCTCCGGCACGGTGGT ACCTGTGGGCTCCGGCACGGTGGTGGGTGGGGTG antisense ENSMUST00000025571 CD5 13152 149 30.16 CDS 3.036060062 0.498113208 -TGTGGGCTCCGGCACGGTGG TACCTGTGGGCTCCGGCACGGTGGTGGGTGGGGT antisense ENSMUST00000025571 CD5 13153 149 30.16 CDS 0.642407447 0.188679245 -CACCCCACCCACCACCGTGC CAACCACCCCACCCACCACCGTGCCGGAGCCCAC sense ENSMUST00000025571 CD5 13156 150 30.36 CDS 1.719532866 0.290566038 -ACCTGTGGGCTCCGGCACGG TCTTACCTGTGGGCTCCGGCACGGTGGTGGGTGG antisense ENSMUST00000025571 CD5 13156 150 30.36 CDS 2.71303033 0.433962264 -CTTACCTGTGGGCTCCGGCA CCCTCTTACCTGTGGGCTCCGGCACGGTGGTGGG antisense ENSMUST00000025571 CD5 13159 151 30.57 CDS 2.550495627 0.39245283 -ACCCTCTTACCTGTGGGCTC GAGCACCCTCTTACCTGTGGGCTCCGGCACGGTG antisense ENSMUST00000025571 CD5 13164 153 30.97 CDS 2.183649131 0.362264151 -ACCACCGTGCCGGAGCCCAC ACCCACCACCGTGCCGGAGCCCACAGGTAAGAGG sense ENSMUST00000025571 CD5 13166 153 30.97 CDS 3.670638308 0.660377358 -CCGAGCACCCTCTTACCTGT AGGCCCGAGCACCCTCTTACCTGTGGGCTCCGGC antisense ENSMUST00000025571 CD5 13170 155 31.38 CDS 1.805355526 0.313207547 -CCCGAGCACCCTCTTACCTG AAGGCCCGAGCACCCTCTTACCTGTGGGCTCCGG antisense ENSMUST00000025571 CD5 13171 CDS/I 0.652039099 0.196226415 -AGCTGCAATCTGGGAGGAGC CACCAGCTGCAATCTGGGAGGAGCTGGAGAGAGA antisense ENSMUST00000025571 CD5 13648 156 31.58 CDS 3.182466139 0.528301887 -GGCACCAGCTGCAATCTGGG TCCTGGCACCAGCTGCAATCTGGGAGGAGCTGGA antisense ENSMUST00000025571 CD5 13654 158 31.98 CDS 4.290392044 0.905660377 -CCTGGCACCAGCTGCAATCT GTGTCCTGGCACCAGCTGCAATCTGGGAGGAGCT antisense ENSMUST00000025571 CD5 13657 159 32.19 CDS 2.267645809 0.381132075 -TCCTGGCACCAGCTGCAATC CGTGTCCTGGCACCAGCTGCAATCTGGGAGGAGC antisense ENSMUST00000025571 CD5 13658 159 32.19 CDS 1.075374787 0.233962264 -AGCTCCTCCCAGATTGCAGC CTCCAGCTCCTCCCAGATTGCAGCTGGTGCCAGG sense ENSMUST00000025571 CD5 13661 160 32.39 CDS 0.846555164 0.211320755 -CCCAGATTGCAGCTGGTGCC TCCTCCCAGATTGCAGCTGGTGCCAGGACACGAA sense ENSMUST00000025571 CD5 13668 162 32.79 CDS -2.565356159 0.030188679 -CACCTCAGGCCTTCGTGTCC TGTGCACCTCAGGCCTTCGTGTCCTGGCACCAGC antisense ENSMUST00000025571 CD5 13675 165 33.4 CDS 2.631084818 0.41509434 -CAGCTGGTGCCAGGACACGA ATTGCAGCTGGTGCCAGGACACGAAGGCCTGAGG sense ENSMUST00000025571 CD5 13677 165 33.4 CDS 4.06629824 0.822641509 -TGCCAGGACACGAAGGCCTG CTGGTGCCAGGACACGAAGGCCTGAGGTGCACAG sense ENSMUST00000025571 CD5 13684 168 34.01 CDS 3.77259718 0.698113208 -CCACCACACCTGTGCACCTC AATTCCACCACACCTGTGCACCTCAGGCCTTCGT antisense ENSMUST00000025571 CD5 13689 169 34.21 CDS 3.165927482 0.524528302 -CACGAAGGCCTGAGGTGCAC AGGACACGAAGGCCTGAGGTGCACAGGTGTGGTG sense ENSMUST00000025571 CD5 13692 170 34.41 CDS 3.840251672 0.732075472 -AGGCCTGAGGTGCACAGGTG ACGAAGGCCTGAGGTGCACAGGTGTGGTGGAATT sense ENSMUST00000025571 CD5 13697 172 34.82 CDS 3.546684731 0.637735849 -CCTGAGGTGCACAGGTGTGG AAGGCCTGAGGTGCACAGGTGTGGTGGAATTCTA sense ENSMUST00000025571 CD5 13700 173 35.02 CDS 3.946601285 0.781132075 -GGTGTGGTGGAATTCTACAA CACAGGTGTGGTGGAATTCTACAATGGCAGCTGG sense ENSMUST00000025571 CD5 13713 177 35.83 CDS 4.3855622 0.935849057 -TGGAATTCTACAATGGCAGC GTGGTGGAATTCTACAATGGCAGCTGGGGTGGCA sense ENSMUST00000025571 CD5 13720 180 36.44 CDS -4.341977791 0.018867925 -GGAATTCTACAATGGCAGCT TGGTGGAATTCTACAATGGCAGCTGGGGTGGCAC sense ENSMUST00000025571 CD5 13721 180 36.44 CDS 3.810260241 0.720754717 -GAATTCTACAATGGCAGCTG GGTGGAATTCTACAATGGCAGCTGGGGTGGCACC sense ENSMUST00000025571 CD5 13722 180 36.44 CDS 3.454158474 0.611320755 -TTCTACAATGGCAGCTGGGG GGAATTCTACAATGGCAGCTGGGGTGGCACCATC sense ENSMUST00000025571 CD5 13725 181 36.64 CDS 3.516610338 0.630188679 -GTCCTTGGCCTTGTAGAGGA GCCTGTCCTTGGCCTTGTAGAGGATGGTGCCACC antisense ENSMUST00000025571 CD5 13739 186 37.65 CDS 4.083756533 0.830188679 -GGGTGGCACCATCCTCTACA GCTGGGGTGGCACCATCCTCTACAAGGCCAAGGA sense ENSMUST00000025571 CD5 13742 187 37.85 CDS 3.754731939 0.686792453 -GCCTGTCCTTGGCCTTGTAG AGGGGCCTGTCCTTGGCCTTGTAGAGGATGGTGC antisense ENSMUST00000025571 CD5 13743 187 37.85 CDS 3.505636455 0.626415094 -CACCATCCTCTACAAGGCCA GTGGCACCATCCTCTACAAGGCCAAGGACAGGCC sense ENSMUST00000025571 CD5 13748 189 38.26 CDS 3.124351582 0.513207547 -TCCTCTACAAGGCCAAGGAC ACCATCCTCTACAAGGCCAAGGACAGGCCCCTGG sense ENSMUST00000025571 CD5 13753 191 38.66 CDS 2.629033722 0.411320755 -CAGGCCCAGGGGCCTGTCCT TCCCCAGGCCCAGGGGCCTGTCCTTGGCCTTGTA antisense ENSMUST00000025571 CD5 13754 191 38.66 CDS -1.95036533 0.049056604 -CAAGGCCAAGGACAGGCCCC TCTACAAGGCCAAGGACAGGCCCCTGGGCCTGGG sense ENSMUST00000025571 CD5 13760 193 39.07 CDS 2.761831859 0.449056604 -AAGGCCAAGGACAGGCCCCT CTACAAGGCCAAGGACAGGCCCCTGGGCCTGGGG sense ENSMUST00000025571 CD5 13761 193 39.07 CDS 3.804583088 0.716981132 -ATGAGGTTCCCCAGGCCCAG ACAGATGAGGTTCCCCAGGCCCAGGGGCCTGTCC antisense ENSMUST00000025571 CD5 13765 195 39.47 CDS 4.184745835 0.867924528 -CAAGGACAGGCCCCTGGGCC AGGCCAAGGACAGGCCCCTGGGCCTGGGGAACCT sense ENSMUST00000025571 CD5 13766 195 39.47 CDS -1.601184411 0.071698113 -GATGAGGTTCCCCAGGCCCA TACAGATGAGGTTCCCCAGGCCCAGGGGCCTGTC antisense ENSMUST00000025571 CD5 13766 195 39.47 CDS 3.241227571 0.539622642 -AAGGACAGGCCCCTGGGCCT GGCCAAGGACAGGCCCCTGGGCCTGGGGAACCTC sense ENSMUST00000025571 CD5 13767 195 39.47 CDS -4.190952348 0.022641509 -AGATGAGGTTCCCCAGGCCC TTACAGATGAGGTTCCCCAGGCCCAGGGGCCTGT antisense ENSMUST00000025571 CD5 13767 195 39.47 CDS 2.689567216 0.430188679 -AGGACAGGCCCCTGGGCCTG GCCAAGGACAGGCCCCTGGGCCTGGGGAACCTCA sense ENSMUST00000025571 CD5 13768 196 39.68 CDS -0.436004654 0.135849057 -ACTTACAGATGAGGTTCCCC AGAGACTTACAGATGAGGTTCCCCAGGCCCAGGG antisense ENSMUST00000025571 CD5 13773 197 39.88 CDS 4.242711637 0.890566038 -ACTGCAGAGACTTACAGATG CCACACTGCAGAGACTTACAGATGAGGTTCCCCA antisense ENSMUST00000025571 CD5 13782 200 40.49 CDS 4.084451579 0.833962264 -ATCTGTAAGTCTCTGCAGTG CCTCATCTGTAAGTCTCTGCAGTGTGGCTCTTTC sense ENSMUST00000025571 CD5 13797 205 41.5 CDS 3.926095848 0.777358491 -TCTTTCTTGACACATCTGTC TGGCTCTTTCTTGACACATCTGTCCGGGACAGAG sense ENSMUST00000025571 CD5 13821 213 43.12 CDS 2.750525491 0.445283019 -CTTTCTTGACACATCTGTCC GGCTCTTTCTTGACACATCTGTCCGGGACAGAGG sense ENSMUST00000025571 CD5 13822 214 43.32 CDS 3.318402007 0.558490566 -GACACATCTGTCCGGGACAG TCTTGACACATCTGTCCGGGACAGAGGCAGCAGG sense ENSMUST00000025571 CD5 13829 216 43.72 CDS 3.054143613 0.501886792 -TGTCCCTGCTGCCTCTGTCC CTGGTGTCCCTGCTGCCTCTGTCCCGGACAGATG antisense ENSMUST00000025571 CD5 13829 216 43.72 CDS 3.534771224 0.633962264 -CTGTCCGGGACAGAGGCAGC ACATCTGTCCGGGACAGAGGCAGCAGGGACACCA sense ENSMUST00000025571 CD5 13836 218 44.13 CDS -1.604526643 0.067924528 -TGTCCGGGACAGAGGCAGCA CATCTGTCCGGGACAGAGGCAGCAGGGACACCAG sense ENSMUST00000025571 CD5 13837 219 44.33 CDS 3.973352876 0.8 -TCCCTCAGCTCTGCAGGAGC GGGGTCCCTCAGCTCTGCAGGAGCTGGTGTCCCT antisense ENSMUST00000025571 CD5 13852 224 45.34 CDS 1.47420444 0.256603774 -CTGGGGTCCCTCAGCTCTGC GGGCCTGGGGTCCCTCAGCTCTGCAGGAGCTGGT antisense ENSMUST00000025571 CD5 13858 226 45.75 CDS -0.889905873 0.090566038 -CACCAGCTCCTGCAGAGCTG GGGACACCAGCTCCTGCAGAGCTGAGGGACCCCA sense ENSMUST00000025571 CD5 13861 227 45.95 CDS 1.351544795 0.252830189 -ACCAGCTCCTGCAGAGCTGA GGACACCAGCTCCTGCAGAGCTGAGGGACCCCAG sense ENSMUST00000025571 CD5 13862 227 45.95 CDS -0.339188764 0.143396226 -CTGCAGAGCTGAGGGACCCC GCTCCTGCAGAGCTGAGGGACCCCAGGCCCTTGC sense ENSMUST00000025571 CD5 13870 230 46.56 CDS 3.457716377 0.618867925 -ATCGAATTGGCAAGGGCCTG TCCCATCGAATTGGCAAGGGCCTGGGGTCCCTCA antisense ENSMUST00000025571 CD5 13875 231 46.76 CDS 1.746001444 0.305660377 -CATCGAATTGGCAAGGGCCT CTCCCATCGAATTGGCAAGGGCCTGGGGTCCCTC antisense ENSMUST00000025571 CD5 13876 232 46.96 CDS -2.006754615 0.045283019 -CCATCGAATTGGCAAGGGCC CCTCCCATCGAATTGGCAAGGGCCTGGGGTCCCT antisense ENSMUST00000025571 CD5 13877 232 46.96 CDS -0.71923098 0.109433962 -GCCTCCCATCGAATTGGCAA CGGGGCCTCCCATCGAATTGGCAAGGGCCTGGGG antisense ENSMUST00000025571 CD5 13882 234 47.37 CDS 2.736325087 0.441509434 -GGCCTCCCATCGAATTGGCA TCGGGGCCTCCCATCGAATTGGCAAGGGCCTGGG antisense ENSMUST00000025571 CD5 13883 234 47.37 CDS -0.38350273 0.139622642 -CCAGGCCCTTGCCAATTCGA GACCCCAGGCCCTTGCCAATTCGATGGGAGGCCC sense ENSMUST00000025571 CD5 13888 236 47.77 CDS 2.184316539 0.366037736 -TTCGGGGCCTCCCATCGAAT CCCGTTCGGGGCCTCCCATCGAATTGGCAAGGGC antisense ENSMUST00000025571 CD5 13888 236 47.77 CDS 2.671200136 0.422641509 -CAGGCCCTTGCCAATTCGAT ACCCCAGGCCCTTGCCAATTCGATGGGAGGCCCC sense ENSMUST00000025571 CD5 13889 236 47.77 CDS 3.017458287 0.494339623 -GCCCTTGCCAATTCGATGGG CCAGGCCCTTGCCAATTCGATGGGAGGCCCCGAA sense ENSMUST00000025571 CD5 13892 237 47.98 CDS 1.543872407 0.271698113 -ATTCGATGGGAGGCCCCGAA GCCAATTCGATGGGAGGCCCCGAACGGGAGCTGT sense ENSMUST00000025571 CD5 13902 240 48.58 CDS 4.325227179 0.920754717 -TTCGATGGGAGGCCCCGAAC CCAATTCGATGGGAGGCCCCGAACGGGAGCTGTG sense ENSMUST00000025571 CD5 13903 241 48.79 CDS 2.785909167 0.460377358 -TGAGACACAGCTCCCGTTCG GTAGTGAGACACAGCTCCCGTTCGGGGCCTCCCA antisense ENSMUST00000025571 CD5 13904 241 48.79 CDS 2.883857624 0.471698113 -GTGAGACACAGCTCCCGTTC TGTAGTGAGACACAGCTCCCGTTCGGGGCCTCCC antisense ENSMUST00000025571 CD5 13905 241 48.79 CDS 2.374975325 0.38490566 -AGTGAGACACAGCTCCCGTT CTGTAGTGAGACACAGCTCCCGTTCGGGGCCTCC antisense ENSMUST00000025571 CD5 13906 242 48.99 CDS 4.300211489 0.909433962 -GCAGTGCTTCCAGAAAACAA TACAGCAGTGCTTCCAGAAAACAACGGCCCAGGA sense ENSMUST00000025571 CD5 13943 254 51.42 CDS 4.332294582 0.924528302 -CTTCCAGAAAACAACGGCCC AGTGCTTCCAGAAAACAACGGCCCAGGAGGGCGG sense ENSMUST00000025571 CD5 13949 256 51.82 CDS 3.088514351 0.505660377 -CCAGAAAACAACGGCCCAGG GCTTCCAGAAAACAACGGCCCAGGAGGGCGGCCA sense ENSMUST00000025571 CD5 13952 257 52.02 CDS 3.849818822 0.739622642 -CAGAAAACAACGGCCCAGGA CTTCCAGAAAACAACGGCCCAGGAGGGCGGCCAG sense ENSMUST00000025571 CD5 13953 257 52.02 CDS 3.962776819 0.796226415 -GAGCGCCTGGCCGCCCTCCT CGGTGAGCGCCTGGCCGCCCTCCTGGGCCGTTGT antisense ENSMUST00000025571 CD5 13955 258 52.23 CDS 0.076249046 0.162264151 -AAAACAACGGCCCAGGAGGG CCAGAAAACAACGGCCCAGGAGGGCGGCCAGGCG sense ENSMUST00000025571 CD5 13956 258 52.23 CDS 1.063057551 0.230188679 -TGAGCGCCTGGCCGCCCTCC ACGGTGAGCGCCTGGCCGCCCTCCTGGGCCGTTG antisense ENSMUST00000025571 CD5 13956 258 52.23 CDS 0.282299003 0.173584906 -AACGGCCCAGGAGGGCGGCC AAACAACGGCCCAGGAGGGCGGCCAGGCGCTCAC sense ENSMUST00000025571 CD5 13961 260 52.63 CDS 1.506861696 0.264150943 -AGCAGATGACGGTGAGCGCC CCAGAGCAGATGACGGTGAGCGCCTGGCCGCCCT antisense ENSMUST00000025571 CD5 13968 262 53.04 CDS 1.756679314 0.309433962 -CAGCTTACCAGAGCAGATGA AGTCCAGCTTACCAGAGCAGATGACGGTGAGCGC antisense ENSMUST00000025571 CD5 13979 266 53.85 CDS 3.985123158 0.803773585 -GCGCTCACCGTCATCTGCTC CCAGGCGCTCACCGTCATCTGCTCTGGTAAGCTG sense ENSMUST00000025571 CD5 13983 267 54.05 CDS 2.838834909 0.467924528 -TTCTGCAGATTTCCAGCCCA TCCTTTCTGCAGATTTCCAGCCCAAGGTTCAGAG sense ENSMUST00000025571 CD5 15676 272 55.06 CDS 3.149721443 0.520754717 -GGCGGCTCTGAACCTTGGGC ACCAGGCGGCTCTGAACCTTGGGCTGGAAATCTG antisense ENSMUST00000025571 CD5 15677 272 55.06 CDS 2.135449697 0.347169811 -ACCAGGCGGCTCTGAACCTT CCCGACCAGGCGGCTCTGAACCTTGGGCTGGAAA antisense ENSMUST00000025571 CD5 15681 274 55.47 CDS 3.333887762 0.566037736 -GACCAGGCGGCTCTGAACCT CCCCGACCAGGCGGCTCTGAACCTTGGGCTGGAA antisense ENSMUST00000025571 CD5 15682 274 55.47 CDS 3.11048694 0.509433962 -GCCCAAGGTTCAGAGCCGCC TCCAGCCCAAGGTTCAGAGCCGCCTGGTCGGGGG sense ENSMUST00000025571 CD5 15691 277 56.07 CDS 4.423188048 0.950943396 -AAGGTTCAGAGCCGCCTGGT GCCCAAGGTTCAGAGCCGCCTGGTCGGGGGCAGC sense ENSMUST00000025571 CD5 15695 278 56.28 CDS 3.723625282 0.679245283 -CACTGCTGCCCCCGACCAGG CACACACTGCTGCCCCCGACCAGGCGGCTCTGAA antisense ENSMUST00000025571 CD5 15695 278 56.28 CDS 4.339974515 0.928301887 -AGGTTCAGAGCCGCCTGGTC CCCAAGGTTCAGAGCCGCCTGGTCGGGGGCAGCA sense ENSMUST00000025571 CD5 15696 279 56.48 CDS 2.684600711 0.426415094 -GGTTCAGAGCCGCCTGGTCG CCAAGGTTCAGAGCCGCCTGGTCGGGGGCAGCAG sense ENSMUST00000025571 CD5 15697 279 56.48 CDS 3.214335554 0.532075472 -GTTCAGAGCCGCCTGGTCGG CAAGGTTCAGAGCCGCCTGGTCGGGGGCAGCAGT sense ENSMUST00000025571 CD5 15698 279 56.48 CDS 3.762373638 0.690566038 -ACACACTGCTGCCCCCGACC TCACACACACTGCTGCCCCCGACCAGGCGGCTCT antisense ENSMUST00000025571 CD5 15698 279 56.48 CDS 3.440208319 0.596226415 -CGGGGGCAGCAGTGTGTGTG TGGTCGGGGGCAGCAGTGTGTGTGAGGGCATCGC sense ENSMUST00000025571 CD5 15715 285 57.69 CDS 3.990028902 0.80754717 -GGGGGCAGCAGTGTGTGTGA GGTCGGGGGCAGCAGTGTGTGTGAGGGCATCGCT sense ENSMUST00000025571 CD5 15716 285 57.69 CDS 3.402803114 0.588679245 -GGGCCTCCCACTGTGATCTC CACAGGGCCTCCCACTGTGATCTCTGGCGCACTT antisense ENSMUST00000025571 CD5 15743 294 59.51 CDS 1.945875145 0.328301887 -AAGTGCGCCAGAGATCACAG GCTGAAGTGCGCCAGAGATCACAGTGGGAGGCCC sense ENSMUST00000025571 CD5 15747 296 59.92 CDS 3.776594631 0.701886792 -AGTGCGCCAGAGATCACAGT CTGAAGTGCGCCAGAGATCACAGTGGGAGGCCCT sense ENSMUST00000025571 CD5 15748 296 59.92 CDS 3.689780783 0.675471698 -GCGCCAGAGATCACAGTGGG AAGTGCGCCAGAGATCACAGTGGGAGGCCCTGTG sense ENSMUST00000025571 CD5 15751 297 60.12 CDS 2.253200468 0.377358491 -GGCTGCAGAACTGTCACACA CCCTGGCTGCAGAACTGTCACACAGGGCCTCCCA antisense ENSMUST00000025571 CD5 15763 301 60.93 CDS 3.863527211 0.747169811 -TGGCTGCAGAACTGTCACAC CCCCTGGCTGCAGAACTGTCACACAGGGCCTCCC antisense ENSMUST00000025571 CD5 15764 301 60.93 CDS 3.919640442 0.769811321 -TGTGTGACAGTTCTGCAGCC GCCCTGTGTGACAGTTCTGCAGCCAGGGGCCGGG sense ENSMUST00000025571 CD5 15777 306 61.94 CDS 1.732393875 0.298113208 -GTGTGACAGTTCTGCAGCCA CCCTGTGTGACAGTTCTGCAGCCAGGGGCCGGGG sense ENSMUST00000025571 CD5 15778 306 61.94 CDS 2.009907501 0.335849057 -TGTGACAGTTCTGCAGCCAG CCTGTGTGACAGTTCTGCAGCCAGGGGCCGGGGA sense ENSMUST00000025571 CD5 15779 306 61.94 CDS 3.903785646 0.762264151 -ACAGTTCTGCAGCCAGGGGC TGTGACAGTTCTGCAGCCAGGGGCCGGGGACGGT sense ENSMUST00000025571 CD5 15783 308 62.35 CDS 2.714082371 0.437735849 -CAGTTCTGCAGCCAGGGGCC GTGACAGTTCTGCAGCCAGGGGCCGGGGACGGTG sense ENSMUST00000025571 CD5 15784 308 62.35 CDS 0.64462544 0.19245283 -TTCCCACCGTCCCCGGCCCC GCTCTTCCCACCGTCCCCGGCCCCTGGCTGCAGA antisense ENSMUST00000025571 CD5 15784 308 62.35 CDS 2.63781535 0.418867925 -AGTTCTGCAGCCAGGGGCCG TGACAGTTCTGCAGCCAGGGGCCGGGGACGGTGG sense ENSMUST00000025571 CD5 15785 308 62.35 CDS -0.212406804 0.147169811 -CTGCAGCCAGGGGCCGGGGA AGTTCTGCAGCCAGGGGCCGGGGACGGTGGGAAG sense ENSMUST00000025571 CD5 15789 310 62.75 CDS 3.316817782 0.554716981 -ATAGCTCTTCCCACCGTCCC CGACATAGCTCTTCCCACCGTCCCCGGCCCCTGG antisense ENSMUST00000025571 CD5 15791 310 62.75 CDS 2.768464957 0.452830189 -CAGCCAGGGGCCGGGGACGG TCTGCAGCCAGGGGCCGGGGACGGTGGGAAGAGC sense ENSMUST00000025571 CD5 15792 311 62.96 CDS 0.150640522 0.166037736 -AGCCAGGGGCCGGGGACGGT CTGCAGCCAGGGGCCGGGGACGGTGGGAAGAGCT sense ENSMUST00000025571 CD5 15793 311 62.96 CDS 4.056780208 0.818867925 -GACGGTGGGAAGAGCTATGT CGGGGACGGTGGGAAGAGCTATGTCGGGAGCAGC sense ENSMUST00000025571 CD5 15807 316 63.97 CDS 3.274871751 0.543396226 -ACGGTGGGAAGAGCTATGTC GGGGACGGTGGGAAGAGCTATGTCGGGAGCAGCA sense ENSMUST00000025571 CD5 15808 316 63.97 CDS 3.997632924 0.811320755 -CTATGTCGGGAGCAGCAGTG AGAGCTATGTCGGGAGCAGCAGTGTGGCGACCTC sense ENSMUST00000025571 CD5 15821 320 64.78 CDS 4.034187707 0.81509434 -CCACCGTGTGGAAGGAGATG GCATCCACCGTGTGGAAGGAGATGAGGTCGCCAC antisense ENSMUST00000025571 CD5 15836 325 65.79 CDS 3.58747004 0.652830189 -CGACCTCATCTCCTTCCACA GTGGCGACCTCATCTCCTTCCACACGGTGGATGC sense ENSMUST00000025571 CD5 15844 328 66.4 CDS 4.095775202 0.845283019 -GTCAGCATCCACCGTGTGGA TTTTGTCAGCATCCACCGTGTGGAAGGAGATGAG antisense ENSMUST00000025571 CD5 15844 328 66.4 CDS 1.289711655 0.241509434 -CCTCATCTCCTTCCACACGG GCGACCTCATCTCCTTCCACACGGTGGATGCTGA sense ENSMUST00000025571 CD5 15847 329 66.6 CDS 3.442006912 0.6 -GATGCTGACAAAACCTCCCC GGTGGATGCTGACAAAACCTCCCCCGGGTTCCTC sense ENSMUST00000025571 CD5 15869 336 68.02 CDS 2.994214335 0.486792453 -ATGCTGACAAAACCTCCCCC GTGGATGCTGACAAAACCTCCCCCGGGTTCCTCT sense ENSMUST00000025571 CD5 15870 337 68.22 CDS 3.823609481 0.724528302 -GGCACAGAGGAACCCGGGGG CCTGGGCACAGAGGAACCCGGGGGAGGTTTTGTC antisense ENSMUST00000025571 CD5 15871 337 68.22 CDS 2.198944976 0.369811321 -CTGGGCACAGAGGAACCCGG TCTCCTGGGCACAGAGGAACCCGGGGGAGGTTTT antisense ENSMUST00000025571 CD5 15874 338 68.42 CDS 4.316097462 0.913207547 -CCTGGGCACAGAGGAACCCG TTCTCCTGGGCACAGAGGAACCCGGGGGAGGTTT antisense ENSMUST00000025571 CD5 15875 338 68.42 CDS 3.449909702 0.603773585 -TCCTGGGCACAGAGGAACCC CTTCTCCTGGGCACAGAGGAACCCGGGGGAGGTT antisense ENSMUST00000025571 CD5 15876 339 68.62 CDS 2.962846333 0.483018868 -CTCCTGGGCACAGAGGAACC GCTTCTCCTGGGCACAGAGGAACCCGGGGGAGGT antisense ENSMUST00000025571 CD5 15877 339 68.62 CDS 3.390362025 0.581132075 -ACAGCTTCTCCTGGGCACAG TGAGACAGCTTCTCCTGGGCACAGAGGAACCCGG antisense ENSMUST00000025571 CD5 15884 341 69.03 CDS 3.960340708 0.79245283 -CCCCGGGTTCCTCTGTGCCC CCTCCCCCGGGTTCCTCTGTGCCCAGGAGAAGCT sense ENSMUST00000025571 CD5 15886 342 69.23 CDS 3.425650892 0.59245283 -ACACTGAGACAGCTTCTCCT GGTAACACTGAGACAGCTTCTCCTGGGCACAGAG antisense ENSMUST00000025571 CD5 15892 344 69.64 CDS 3.635417866 0.656603774 -AACACTGAGACAGCTTCTCC TGGTAACACTGAGACAGCTTCTCCTGGGCACAGA antisense ENSMUST00000025571 CD5 15893 344 69.64 CDS 3.146101427 0.516981132 -AAAAAAAACACTGCAACAAG CAGAAAAAAAAACACTGCAACAAGAGGGTATTCG sense ENSMUST00000025571 CD5 15939 360 72.87 CDS -1.035671418 0.083018868 -GCTGGGTTTGGGTCTTGGCC GCCCGCTGGGTTTGGGTCTTGGCCTGGATAGGGG antisense ENSMUST00000025571 CD5 16928 367 74.29 CDS -1.254031608 0.079245283 -GGCCCGCTGGGTTTGGGTCT GCCAGGCCCGCTGGGTTTGGGTCTTGGCCTGGAT antisense ENSMUST00000025571 CD5 16933 368 74.49 CDS -2.009628286 0.041509434 -GGGCCAGGCCCGCTGGGTTT CCTGGGGCCAGGCCCGCTGGGTTTGGGTCTTGGC antisense ENSMUST00000025571 CD5 16939 370 74.9 CDS 0.715707673 0.2 -GGGGCCAGGCCCGCTGGGTT GCCTGGGGCCAGGCCCGCTGGGTTTGGGTCTTGG antisense ENSMUST00000025571 CD5 16940 371 75.1 CDS -0.523442639 0.128301887 -AGGCCAAGACCCAAACCCAG ATCCAGGCCAAGACCCAAACCCAGCGGGCCTGGC sense ENSMUST00000025571 CD5 16941 371 75.1 CDS 4.492056517 0.973584906 -GGCCAAGACCCAAACCCAGC TCCAGGCCAAGACCCAAACCCAGCGGGCCTGGCC sense ENSMUST00000025571 CD5 16942 371 75.1 CDS 3.373348081 0.573584906 -TGCCTGGGGCCAGGCCCGCT ACAGTGCCTGGGGCCAGGCCCGCTGGGTTTGGGT antisense ENSMUST00000025571 CD5 16945 372 75.3 CDS 2.014340859 0.339622642 -GTGCCTGGGGCCAGGCCCGC CACAGTGCCTGGGGCCAGGCCCGCTGGGTTTGGG antisense ENSMUST00000025571 CD5 16946 373 75.51 CDS -1.578051219 0.075471698 -AGACCCAAACCCAGCGGGCC GCCAAGACCCAAACCCAGCGGGCCTGGCCCCAGG sense ENSMUST00000025571 CD5 16947 373 75.51 CDS -1.633303669 0.064150943 -AACCCAGCGGGCCTGGCCCC CCCAAACCCAGCGGGCCTGGCCCCAGGCACTGTG sense ENSMUST00000025571 CD5 16954 375 75.91 CDS -1.942151703 0.056603774 -TTGCCACAGTGCCTGGGGCC ATGCTTGCCACAGTGCCTGGGGCCAGGCCCGCTG antisense ENSMUST00000025571 CD5 16954 375 75.91 CDS -4.739019856 0.01509434 -GATGCTTGCCACAGTGCCTG GGATGATGCTTGCCACAGTGCCTGGGGCCAGGCC antisense ENSMUST00000025571 CD5 16959 377 76.32 CDS 3.949075639 0.78490566 -TGATGCTTGCCACAGTGCCT AGGATGATGCTTGCCACAGTGCCTGGGGCCAGGC antisense ENSMUST00000025571 CD5 16960 377 76.32 CDS -0.807067524 0.098113208 -ATGATGCTTGCCACAGTGCC CAGGATGATGCTTGCCACAGTGCCTGGGGCCAGG antisense ENSMUST00000025571 CD5 16961 378 76.52 CDS -0.203328281 0.150943396 -GGGCCTGGCCCCAGGCACTG CAGCGGGCCTGGCCCCAGGCACTGTGGCAAGCAT sense ENSMUST00000025571 CD5 16962 378 76.52 CDS 4.186093538 0.871698113 -CCACCAGGAGTACAAGGGTC AGCACCACCAGGAGTACAAGGGTCAGGATGATGC antisense ENSMUST00000025571 CD5 16984 385 77.94 CDS 3.463849803 0.622641509 -CAGCACCACCAGGAGTACAA CCAGCAGCACCACCAGGAGTACAAGGGTCAGGAT antisense ENSMUST00000025571 CD5 16989 387 78.34 CDS 4.102669089 0.852830189 -GCAGCACCACCAGGAGTACA GCCAGCAGCACCACCAGGAGTACAAGGGTCAGGA antisense ENSMUST00000025571 CD5 16990 387 78.34 CDS 3.908858519 0.766037736 -CATCCTGACCCTTGTACTCC GCATCATCCTGACCCTTGTACTCCTGGTGGTGCT sense ENSMUST00000025571 CD5 16992 388 78.54 CDS 1.986595105 0.332075472 -CCTGACCCTTGTACTCCTGG TCATCCTGACCCTTGTACTCCTGGTGGTGCTGCT sense ENSMUST00000025571 CD5 16995 389 78.74 CDS 4.26421303 0.898113208 -ACATGGCCAGCAGCACCACC CCACACATGGCCAGCAGCACCACCAGGAGTACAA antisense ENSMUST00000025571 CD5 16999 390 78.95 CDS 3.76475096 0.694339623 -TGTACTCCTGGTGGTGCTGC CCCTTGTACTCCTGGTGGTGCTGCTGGCCATGTG sense ENSMUST00000025571 CD5 17004 392 79.35 CDS 2.783271707 0.456603774 -GTGGTGCTGCTGGCCATGTG CCTGGTGGTGCTGCTGGCCATGTGTGGTCCTCTG sense ENSMUST00000025571 CD5 17014 395 79.96 CDS 3.741303967 0.683018868 -GTAGACCAGAGGACCACACA TCTTGTAGACCAGAGGACCACACATGGCCAGCAG antisense ENSMUST00000025571 CD5 17016 396 80.16 CDS 4.184500103 0.864150943 -GCTGGCCATGTGTGGTCCTC TGCTGCTGGCCATGTGTGGTCCTCTGGTCTACAA sense ENSMUST00000025571 CD5 17022 398 80.57 CDS 3.393629157 0.58490566 -ACCAGCTTCTTGTAGACCAG CTTCACCAGCTTCTTGTAGACCAGAGGACCACAC antisense ENSMUST00000025571 CD5 17027 400 80.97 CDS 4.088834319 0.837735849 -TCCTCTGGTCTACAAGAAGC GTGGTCCTCTGGTCTACAAGAAGCTGGTGAAGAA sense ENSMUST00000025571 CD5 17037 403 81.58 CDS 3.384873329 0.577358491 -AGAAGCTGGTGAAGAAATGT TACAAGAAGCTGGTGAAGAAATGTAGGTACCAAA sense ENSMUST00000025571 CD5 17051 408 82.59 CDS 3.959548586 0.788679245 -GTCAGAAAAAGCAGCGTCAG GTTCGTCAGAAAAAGCAGCGTCAGTGGATTGGCC sense ENSMUST00000025571 CD5 17701 415 84.01 CDS 1.579811514 0.279245283 -AAAAAGCAGCGTCAGTGGAT TCAGAAAAAGCAGCGTCAGTGGATTGGCCCCACA sense ENSMUST00000025571 CD5 17706 416 84.21 CDS 0.873205453 0.218867925 -CGTCAGTGGATTGGCCCCAC GCAGCGTCAGTGGATTGGCCCCACAGGAGTGAAC sense ENSMUST00000025571 CD5 17715 419 84.82 CDS 2.174601173 0.354716981 -TGTTCTGGTTCACTCCTGTG TTACTGTTCTGGTTCACTCCTGTGGGGCCAATCC antisense ENSMUST00000025571 CD5 17718 420 85.02 CDS 2.588926786 0.4 -CTGTTCTGGTTCACTCCTGT CTTACTGTTCTGGTTCACTCCTGTGGGGCCAATC antisense ENSMUST00000025571 CD5 17719 421 85.22 CDS 1.687838052 0.286792453 -ACTGTTCTGGTTCACTCCTG ACTTACTGTTCTGGTTCACTCCTGTGGGGCCAAT antisense ENSMUST00000025571 CD5 17720 421 85.22 CDS 1.514934365 0.267924528 -CCTGGGAACACTTACTGTTC CGCTCCTGGGAACACTTACTGTTCTGGTTCACTC antisense ENSMUST00000025571 CD5 17733 425 86.03 CDS 0.355067657 0.177358491 -CAGTTGCTGTGTGGCTTCGA CGCACAGTTGCTGTGTGGCTTCGATGGAAAGACA antisense ENSMUST00000025571 CD5 18676 430 87.04 CDS 0.854854415 0.21509434 -GGGACCGCACAGTTGCTGTG ACTTGGGACCGCACAGTTGCTGTGTGGCTTCGAT antisense ENSMUST00000025571 CD5 18685 433 87.65 CDS 3.016621039 0.490566038 -GAAGCCACACAGCAACTGTG CATCGAAGCCACACAGCAACTGTGCGGTCCCAAG sense ENSMUST00000025571 CD5 18692 436 88.26 CDS 3.921478043 0.773584906 -GGCTGTTGGGTTCTCAACTT GAGAGGCTGTTGGGTTCTCAACTTGGGACCGCAC antisense ENSMUST00000025571 CD5 18705 440 89.07 CDS 2.175008336 0.358490566 -AGGCTGTTGGGTTCTCAACT TGAGAGGCTGTTGGGTTCTCAACTTGGGACCGCA antisense ENSMUST00000025571 CD5 18706 440 89.07 CDS 1.292896958 0.245283019 -TGTCCACATGAGAGGCTGTT TCATTGTCCACATGAGAGGCTGTTGGGTTCTCAA antisense ENSMUST00000025571 CD5 18718 444 89.88 CDS 2.128282378 0.343396226 -TTGTCCACATGAGAGGCTGT TTCATTGTCCACATGAGAGGCTGTTGGGTTCTCA antisense ENSMUST00000025571 CD5 18719 445 90.08 CDS 1.597851135 0.283018868 -GAACCCAACAGCCTCTCATG TTGAGAACCCAACAGCCTCTCATGTGGACAATGA sense ENSMUST00000025571 CD5 18726 447 90.49 CDS 1.305473333 0.249056604 -GTATTCATTGTCCACATGAG GGCTGTATTCATTGTCCACATGAGAGGCTGTTGG antisense ENSMUST00000025571 CD5 18726 447 90.49 CDS 2.612373528 0.403773585 -GGTGAGAGTTCCTGGGAGGC GACAGGTGAGAGTTCCTGGGAGGCTGGCTGTATT antisense ENSMUST00000025571 CD5 18751 455 92.11 CDS -0.702814111 0.113207547 -ATGAATACAGCCAGCCTCCC GACAATGAATACAGCCAGCCTCCCAGGAACTCTC sense ENSMUST00000025571 CD5 18752 456 92.31 CDS -0.442280783 0.132075472 -GACAGGTGAGAGTTCCTGGG AGCAGACAGGTGAGAGTTCCTGGGAGGCTGGCTG antisense ENSMUST00000025571 CD5 18755 457 92.51 CDS 0.480606874 0.181132075 -GCAGACAGGTGAGAGTTCCT ATAAGCAGACAGGTGAGAGTTCCTGGGAGGCTGG antisense ENSMUST00000025571 CD5 18758 458 92.71 CDS 1.897480105 0.324528302 -AGCAGACAGGTGAGAGTTCC GATAAGCAGACAGGTGAGAGTTCCTGGGAGGCTG antisense ENSMUST00000025571 CD5 18759 458 92.71 CDS -2.037133135 0.037735849 -CCTCACCTGGATAAGCAGAC CCCCCCTCACCTGGATAAGCAGACAGGTGAGAGT antisense ENSMUST00000025571 CD5 18772 462 93.52 CDS -3.100277973 0.026415094 -TCTCACCTGTCTGCTTATCC GAACTCTCACCTGTCTGCTTATCCAGGTGAGGGG sense ENSMUST00000025571 CD5 18778 464 93.93 CDS -0.069316789 0.154716981 -CCTGTCTGCTTATCCAGGTG CTCACCTGTCTGCTTATCCAGGTGAGGGGGGGGG sense ENSMUST00000025571 CD5 18783 CDS/I -0.997610375 0.086792453 -TAATCCTTTCTCTCTAGCTC TAGGTAATCCTTTCTCTCTAGCTCTGGAAGGAGC sense ENSMUST00000025571 CD5 19374 466 94.33 I/CDS 0.948496044 0.222641509 -CCTTTCTCTCTAGCTCTGGA TAATCCTTTCTCTCTAGCTCTGGAAGGAGCCCTA sense ENSMUST00000025571 CD5 19378 467 94.53 CDS 1.016522752 0.226415094 -TTGTGTAGAAGATCGGTGTA CAGGTTGTGTAGAAGATCGGTGTAGGGCTCCTTC antisense ENSMUST00000025571 CD5 19392 472 95.55 CDS -0.795621193 0.105660377 -GTTGTGTAGAAGATCGGTGT TCAGGTTGTGTAGAAGATCGGTGTAGGGCTCCTT antisense ENSMUST00000025571 CD5 19393 472 95.55 CDS 1.894607423 0.320754717 -TGTCAGGTTGTGTAGAAGAT GAGTTGTCAGGTTGTGTAGAAGATCGGTGTAGGG antisense ENSMUST00000025571 CD5 19399 474 95.95 CDS 1.477099763 0.260377358 -TCACTGTCAGAGGAGTTGTC ATAGTCACTGTCAGAGGAGTTGTCAGGTTGTGTA antisense ENSMUST00000025571 CD5 19415 480 97.17 CDS -0.633073579 0.116981132 -CAGGTCATAGTCACTGTCAG CTTGCAGGTCATAGTCACTGTCAGAGGAGTTGTC antisense ENSMUST00000025571 CD5 19425 483 97.77 CDS -0.80647798 0.101886792 -CAGTGACTATGACCTGCAAG CTGACAGTGACTATGACCTGCAAGTGGCTCAGAG sense ENSMUST00000025571 CD5 19443 489 98.99 CDS 0.059029472 0.158490566 -ACAGTCTCTGAGCCACTTGC TTTTACAGTCTCTGAGCCACTTGCAGGTCATAGT antisense ENSMUST00000025571 CD5 19444 489 98.99 CDS -0.612009697 0.120754717 -AGTGGCTCAGAGACTGTAAA TGCAAGTGGCTCAGAGACTGTAAAAGGTGAGCCC sense ENSMUST00000025571 CD5 19461 CDS -0.837021818 0.094339623 -AGTAGCGGATGAGGCGCTTG CAAGAGTAGCGGATGAGGCGCTTGTGGGGCGCGG sense ENST00000358752 CD15 318 4 0.75 CDS -0.473898337 0.217277487 -GTAGCGGATGAGGCGCTTGT AAGAGTAGCGGATGAGGCGCTTGTGGGGCGCGGC sense ENST00000358752 CD15 319 4 0.75 CDS -0.539093197 0.188481675 -TAGCGGATGAGGCGCTTGTG AGAGTAGCGGATGAGGCGCTTGTGGGGCGCGGCC sense ENST00000358752 CD15 320 4 0.75 CDS -0.613088199 0.154450262 -GATGAGGCGCTTGTGGGGCG AGCGGATGAGGCGCTTGTGGGGCGCGGCCCGGAA sense ENST00000358752 CD15 325 6 1.13 CDS -0.501698342 0.206806283 -GGCGCTTGTGGGGCGCGGCC ATGAGGCGCTTGTGGGGCGCGGCCCGGAAGCCCT sense ENST00000358752 CD15 330 8 1.51 CDS -0.600579787 0.159685864 -GCCCGCGCCCGAGGGCTTCC CCCAGCCCGCGCCCGAGGGCTTCCGGGCCGCGCC antisense ENST00000358752 CD15 337 10 1.89 CDS -0.847597089 0.052356021 -AGCCCGCGCCCGAGGGCTTC TCCCAGCCCGCGCCCGAGGGCTTCCGGGCCGCGC antisense ENST00000358752 CD15 338 10 1.89 CDS -0.818322684 0.054973822 -GGGCGCGGCCCGGAAGCCCT TGTGGGGCGCGGCCCGGAAGCCCTCGGGCGCGGG sense ENST00000358752 CD15 340 11 2.08 CDS -0.576498019 0.170157068 -GGCGCGGCCCGGAAGCCCTC GTGGGGCGCGGCCCGGAAGCCCTCGGGCGCGGGC sense ENST00000358752 CD15 341 11 2.08 CDS -0.276723612 0.287958115 -TTCTCCCAGCCCGCGCCCGA CTCCTTCTCCCAGCCCGCGCCCGAGGGCTTCCGG antisense ENST00000358752 CD15 345 13 2.45 CDS -0.689541615 0.12565445 -CTTCTCCCAGCCCGCGCCCG ACTCCTTCTCCCAGCCCGCGCCCGAGGGCTTCCG antisense ENST00000358752 CD15 346 13 2.45 CDS -0.72843993 0.107329843 -GGCCCGGAAGCCCTCGGGCG GCGCGGCCCGGAAGCCCTCGGGCGCGGGCTGGGA sense ENST00000358752 CD15 346 13 2.45 CDS -0.72043074 0.109947644 -GCCCGGAAGCCCTCGGGCGC CGCGGCCCGGAAGCCCTCGGGCGCGGGCTGGGAG sense ENST00000358752 CD15 347 13 2.45 CDS -0.78182455 0.073298429 -GGAAGCCCTCGGGCGCGGGC GCCCGGAAGCCCTCGGGCGCGGGCTGGGAGAAGG sense ENST00000358752 CD15 351 15 2.83 CDS -0.74534788 0.089005236 -GAAGCCCTCGGGCGCGGGCT CCCGGAAGCCCTCGGGCGCGGGCTGGGAGAAGGA sense ENST00000358752 CD15 352 15 2.83 CDS -0.801234282 0.068062827 -CTCGGGCGCGGGCTGGGAGA AGCCCTCGGGCGCGGGCTGGGAGAAGGAGTGGGC sense ENST00000358752 CD15 358 17 3.21 CDS -0.732497711 0.102094241 -GCGCGGGCTGGGAGAAGGAG TCGGGCGCGGGCTGGGAGAAGGAGTGGGCGGAGG sense ENST00000358752 CD15 363 19 3.58 CDS -0.741086117 0.096858639 -CGCGGGCTGGGAGAAGGAGT CGGGCGCGGGCTGGGAGAAGGAGTGGGCGGAGGC sense ENST00000358752 CD15 364 19 3.58 CDS -1.040654261 0.013089005 -GGGCTGGGAGAAGGAGTGGG GCGCGGGCTGGGAGAAGGAGTGGGCGGAGGCGCC sense ENST00000358752 CD15 367 20 3.77 CDS -1.176521585 0.007853403 -CTGGGAGAAGGAGTGGGCGG CGGGCTGGGAGAAGGAGTGGGCGGAGGCGCCGCA sense ENST00000358752 CD15 370 21 3.96 CDS -0.859745295 0.039267016 -GGAGTGGGCGGAGGCGCCGC AGAAGGAGTGGGCGGAGGCGCCGCAGGAGGCTCC sense ENST00000358752 CD15 379 24 4.53 CDS -0.525761802 0.193717277 -GTGGGCGGAGGCGCCGCAGG AGGAGTGGGCGGAGGCGCCGCAGGAGGCTCCCGG sense ENST00000358752 CD15 382 25 4.72 CDS -0.643142818 0.138743455 -CAGGCCCCGGGAGCCTCCTG CGACCAGGCCCCGGGAGCCTCCTGCGGCGCCTCC antisense ENST00000358752 CD15 384 26 4.91 CDS -0.805057339 0.060209424 -GAGGCGCCGCAGGAGGCTCC GGCGGAGGCGCCGCAGGAGGCTCCCGGGGCCTGG sense ENST00000358752 CD15 389 27 5.09 CDS -0.331242569 0.269633508 -AGGCGCCGCAGGAGGCTCCC GCGGAGGCGCCGCAGGAGGCTCCCGGGGCCTGGT sense ENST00000358752 CD15 390 28 5.28 CDS -0.589784107 0.162303665 -GGCGCCGCAGGAGGCTCCCG CGGAGGCGCCGCAGGAGGCTCCCGGGGCCTGGTC sense ENST00000358752 CD15 391 28 5.28 CDS -0.944060539 0.023560209 -CGCAGGAGGCTCCCGGGGCC GCGCCGCAGGAGGCTCCCGGGGCCTGGTCGGGCC sense ENST00000358752 CD15 396 30 5.66 CDS -0.689291743 0.128272251 -AGCCGGCCCGACCAGGCCCC GCCCAGCCGGCCCGACCAGGCCCCGGGAGCCTCC antisense ENST00000358752 CD15 396 30 5.66 CDS -0.514021622 0.196335079 -CAGCCGGCCCGACCAGGCCC GGCCCAGCCGGCCCGACCAGGCCCCGGGAGCCTC antisense ENST00000358752 CD15 397 30 5.66 CDS -0.395005215 0.246073298 -GGAGGCTCCCGGGGCCTGGT CGCAGGAGGCTCCCGGGGCCTGGTCGGGCCGGCT sense ENST00000358752 CD15 400 31 5.85 CDS -0.763725609 0.083769634 -GAGGCTCCCGGGGCCTGGTC GCAGGAGGCTCCCGGGGCCTGGTCGGGCCGGCTG sense ENST00000358752 CD15 401 31 5.85 CDS -0.650108564 0.133507853 -GGGGCCCAGCCGGCCCGACC GCCCGGGGCCCAGCCGGCCCGACCAGGCCCCGGG antisense ENST00000358752 CD15 403 32 6.04 CDS -0.905889325 0.02617801 -CTCCCGGGGCCTGGTCGGGC GAGGCTCCCGGGGCCTGGTCGGGCCGGCTGGGCC sense ENST00000358752 CD15 405 33 6.23 CDS -0.408024778 0.240837696 -CGGGGCCTGGTCGGGCCGGC CTCCCGGGGCCTGGTCGGGCCGGCTGGGCCCCGG sense ENST00000358752 CD15 409 34 6.42 CDS -0.970642249 0.015706806 -GGGGCCTGGTCGGGCCGGCT TCCCGGGGCCTGGTCGGGCCGGCTGGGCCCCGGG sense ENST00000358752 CD15 410 34 6.42 CDS -0.571814197 0.172774869 -CACTGCGCCCGGGGCCCAGC CTTCCACTGCGCCCGGGGCCCAGCCGGCCCGACC antisense ENST00000358752 CD15 413 35 6.6 CDS -0.305370341 0.277486911 -TGGTCGGGCCGGCTGGGCCC GGCCTGGTCGGGCCGGCTGGGCCCCGGGCGCAGT sense ENST00000358752 CD15 416 36 6.79 CDS -0.768925982 0.078534031 -GGTCGGGCCGGCTGGGCCCC GCCTGGTCGGGCCGGCTGGGCCCCGGGCGCAGTG sense ENST00000358752 CD15 417 37 6.98 CDS -0.223063953 0.30104712 -CCTTTCTTCCACTGCGCCCG CGTCCCTTTCTTCCACTGCGCCCGGGGCCCAGCC antisense ENST00000358752 CD15 422 38 7.17 CDS -0.450299029 0.227748691 -CCCTTTCTTCCACTGCGCCC CCGTCCCTTTCTTCCACTGCGCCCGGGGCCCAGC antisense ENST00000358752 CD15 423 39 7.36 CDS -0.28125936 0.285340314 -TCCCTTTCTTCCACTGCGCC CCCGTCCCTTTCTTCCACTGCGCCCGGGGCCCAG antisense ENST00000358752 CD15 424 39 7.36 CDS -0.508786327 0.201570681 -CGGCTGGGCCCCGGGCGCAG GGGCCGGCTGGGCCCCGGGCGCAGTGGAAGAAAG sense ENST00000358752 CD15 425 39 7.36 CDS -0.485613487 0.212041885 -CCCCGGGCGCAGTGGAAGAA TGGGCCCCGGGCGCAGTGGAAGAAAGGGACGGGC sense ENST00000358752 CD15 433 42 7.92 CDS -0.540728742 0.185863874 -CCCGGGCGCAGTGGAAGAAA GGGCCCCGGGCGCAGTGGAAGAAAGGGACGGGCG sense ENST00000358752 CD15 434 42 7.92 CDS -0.389866911 0.248691099 -GGCGCAGTGGAAGAAAGGGA CCCGGGCGCAGTGGAAGAAAGGGACGGGCGGTGC sense ENST00000358752 CD15 438 44 8.3 CDS -0.231616323 0.295811518 -GCGCAGTGGAAGAAAGGGAC CCGGGCGCAGTGGAAGAAAGGGACGGGCGGTGCC sense ENST00000358752 CD15 439 44 8.3 CDS -0.026524476 0.345549738 -CAGTGGAAGAAAGGGACGGG GGCGCAGTGGAAGAAAGGGACGGGCGGTGCCCGG sense ENST00000358752 CD15 442 45 8.49 CDS -0.135143641 0.311518325 -AGAAAGGGACGGGCGGTGCC TGGAAGAAAGGGACGGGCGGTGCCCGGTTGGGCG sense ENST00000358752 CD15 449 47 8.87 CDS -0.617234322 0.14921466 -AGGGACGGGCGGTGCCCGGT AGAAAGGGACGGGCGGTGCCCGGTTGGGCGTCCT sense ENST00000358752 CD15 453 49 9.25 CDS -0.404905279 0.243455497 -GGGACGGGCGGTGCCCGGTT GAAAGGGACGGGCGGTGCCCGGTTGGGCGTCCTG sense ENST00000358752 CD15 454 49 9.25 CDS -0.624924937 0.143979058 -GCTGGCCAGGACGCCCAACC GTGAGCTGGCCAGGACGCCCAACCGGGCACCGCC antisense ENST00000358752 CD15 456 50 9.43 CDS -0.384360854 0.253926702 -AGCTGGCCAGGACGCCCAAC GGTGAGCTGGCCAGGACGCCCAACCGGGCACCGC antisense ENST00000358752 CD15 457 50 9.43 CDS -0.202908983 0.303664921 -CGGTGCCCGGTTGGGCGTCC CGGGCGGTGCCCGGTTGGGCGTCCTGGCCAGCTC sense ENST00000358752 CD15 462 52 9.81 CDS -0.791143164 0.070680628 -CAGGGCAAGGTGAGCTGGCC CCGCCAGGGCAAGGTGAGCTGGCCAGGACGCCCA antisense ENST00000358752 CD15 469 54 10.19 CDS -0.38557326 0.251308901 -GCCGCCAGGGCAAGGTGAGC GCGAGCCGCCAGGGCAAGGTGAGCTGGCCAGGAC antisense ENST00000358752 CD15 474 56 10.57 CDS -0.121258327 0.316753927 -CTGGCCAGCTCACCTTGCCC CGTCCTGGCCAGCTCACCTTGCCCTGGCGGCTCG sense ENST00000358752 CD15 481 58 10.94 CDS -0.26426263 0.290575916 -CGGGGCGAGCCGCCAGGGCA CGGGCGGGGCGAGCCGCCAGGGCAAGGTGAGCTG antisense ENST00000358752 CD15 482 58 10.94 CDS -0.036855834 0.337696335 -GCCAGCTCACCTTGCCCTGG CCTGGCCAGCTCACCTTGCCCTGGCGGCTCGCCC sense ENST00000358752 CD15 484 59 11.13 CDS 0.171738315 0.366492147 -CCGGGCGGGGCGAGCCGCCA AGTGCCGGGCGGGGCGAGCCGCCAGGGCAAGGTG antisense ENST00000358752 CD15 487 60 11.32 CDS -0.038296622 0.335078534 -GCCGGGCGGGGCGAGCCGCC AAGTGCCGGGCGGGGCGAGCCGCCAGGGCAAGGT antisense ENST00000358752 CD15 488 60 11.32 CDS -0.227271742 0.298429319 -CCCTGGCGGCTCGCCCCGCC CTTGCCCTGGCGGCTCGCCCCGCCCGGCACTTGG sense ENST00000358752 CD15 498 64 12.08 CDS 0.561541362 0.447643979 -CTCCTCCCAAGTGCCGGGCG CCTGCTCCTCCCAAGTGCCGGGCGGGGCGAGCCG antisense ENST00000358752 CD15 500 64 12.08 CDS 0.551148833 0.442408377 -GCTCCTCCCAAGTGCCGGGC CCCTGCTCCTCCCAAGTGCCGGGCGGGGCGAGCC antisense ENST00000358752 CD15 501 65 12.26 CDS 0.659231353 0.471204188 -TGCTCCTCCCAAGTGCCGGG GCCCTGCTCCTCCCAAGTGCCGGGCGGGGCGAGC antisense ENST00000358752 CD15 502 65 12.26 CDS 0.506584758 0.426701571 -CCCTGCTCCTCCCAAGTGCC CCTGCCCTGCTCCTCCCAAGTGCCGGGCGGGGCG antisense ENST00000358752 CD15 505 66 12.45 CDS -0.04893248 0.329842932 -GGCTCGCCCCGCCCGGCACT TGGCGGCTCGCCCCGCCCGGCACTTGGGAGGAGC sense ENST00000358752 CD15 505 66 12.45 CDS 0.245433381 0.37434555 -GCCCTGCTCCTCCCAAGTGC CCCTGCCCTGCTCCTCCCAAGTGCCGGGCGGGGC antisense ENST00000358752 CD15 506 66 12.45 CDS 0.147901217 0.363874346 -GCTCGCCCCGCCCGGCACTT GGCGGCTCGCCCCGCCCGGCACTTGGGAGGAGCA sense ENST00000358752 CD15 506 66 12.45 CDS 0.513144673 0.429319372 -CGCCCCGCCCGGCACTTGGG GGCTCGCCCCGCCCGGCACTTGGGAGGAGCAGGG sense ENST00000358752 CD15 509 67 12.64 CDS 0.387000828 0.403141361 -GCCCGGCACTTGGGAGGAGC CCCCGCCCGGCACTTGGGAGGAGCAGGGCAGGGC sense ENST00000358752 CD15 515 69 13.02 CDS 0.133157951 0.361256545 -CCCGGCACTTGGGAGGAGCA CCCGCCCGGCACTTGGGAGGAGCAGGGCAGGGCC sense ENST00000358752 CD15 516 70 13.21 CDS 0.341820219 0.387434555 -GCACTTGGGAGGAGCAGGGC CCCGGCACTTGGGAGGAGCAGGGCAGGGCCCGCG sense ENST00000358752 CD15 520 71 13.4 CDS -0.077612554 0.32460733 -CACTTGGGAGGAGCAGGGCA CCGGCACTTGGGAGGAGCAGGGCAGGGCCCGCGG sense ENST00000358752 CD15 521 71 13.4 CDS -0.338986469 0.264397906 -GAGGAGCAGGGCAGGGCCCG TTGGGAGGAGCAGGGCAGGGCCCGCGGCCTTTGC sense ENST00000358752 CD15 528 74 13.96 CDS -0.046980277 0.332460733 -TCCCAGAATGCAAAGGCCGC GCGGTCCCAGAATGCAAAGGCCGCGGGCCCTGCC antisense ENST00000358752 CD15 533 75 14.15 CDS -0.509758225 0.19895288 -GTCCCAGAATGCAAAGGCCG GGCGGTCCCAGAATGCAAAGGCCGCGGGCCCTGC antisense ENST00000358752 CD15 534 76 14.34 CDS -0.464789551 0.222513089 -GGGGCGGTCCCAGAATGCAA GAAGGGGGCGGTCCCAGAATGCAAAGGCCGCGGG antisense ENST00000358752 CD15 540 78 14.72 CDS 0.252893627 0.376963351 -GGCCCGCGGCCTTTGCATTC GCAGGGCCCGCGGCCTTTGCATTCTGGGACCGCC sense ENST00000358752 CD15 542 78 14.72 CDS -0.743085526 0.091623037 -GCCCGCGGCCTTTGCATTCT CAGGGCCCGCGGCCTTTGCATTCTGGGACCGCCC sense ENST00000358752 CD15 543 79 14.91 CDS -0.881547879 0.028795812 -GGCCCGGGAATGGAAGGGGG CGCTGGCCCGGGAATGGAAGGGGGCGGTCCCAGA antisense ENST00000358752 CD15 556 83 15.66 CDS 0.819780199 0.520942408 -GCTGGCCCGGGAATGGAAGG CGCCGCTGGCCCGGGAATGGAAGGGGGCGGTCCC antisense ENST00000358752 CD15 559 84 15.85 CDS 0.668348451 0.47382199 -CGCTGGCCCGGGAATGGAAG TCGCCGCTGGCCCGGGAATGGAAGGGGGCGGTCC antisense ENST00000358752 CD15 560 84 15.85 CDS 0.707089064 0.481675393 -CCGCTGGCCCGGGAATGGAA CTCGCCGCTGGCCCGGGAATGGAAGGGGGCGGTC antisense ENST00000358752 CD15 561 85 16.04 CDS 0.487350338 0.418848168 -GCCGCTGGCCCGGGAATGGA GCTCGCCGCTGGCCCGGGAATGGAAGGGGGCGGT antisense ENST00000358752 CD15 562 85 16.04 CDS 0.11151079 0.353403141 -GGACCGCCCCCTTCCATTCC TCTGGGACCGCCCCCTTCCATTCCCGGGCCAGCG sense ENST00000358752 CD15 564 86 16.23 CDS -0.359311657 0.256544503 -GACCGCCCCCTTCCATTCCC CTGGGACCGCCCCCTTCCATTCCCGGGCCAGCGG sense ENST00000358752 CD15 565 86 16.23 CDS 0.095713797 0.35078534 -GCTCGCCGCTGGCCCGGGAA TGCCGCTCGCCGCTGGCCCGGGAATGGAAGGGGG antisense ENST00000358752 CD15 566 86 16.23 CDS 0.118152356 0.358638743 -CTGCCGCTCGCCGCTGGCCC GTCGCTGCCGCTCGCCGCTGGCCCGGGAATGGAA antisense ENST00000358752 CD15 571 88 16.6 CDS -0.306768617 0.27486911 -GCTGCCGCTCGCCGCTGGCC CGTCGCTGCCGCTCGCCGCTGGCCCGGGAATGGA antisense ENST00000358752 CD15 572 88 16.6 CDS -0.876134776 0.031413613 -CCCTTCCATTCCCGGGCCAG CGCCCCCTTCCATTCCCGGGCCAGCGGCGAGCGG sense ENST00000358752 CD15 572 88 16.6 CDS -0.110852803 0.319371728 -CCGTCGCTGCCGCTCGCCGC CCAGCCGTCGCTGCCGCTCGCCGCTGGCCCGGGA antisense ENST00000358752 CD15 577 90 16.98 CDS -0.354357921 0.259162304 -ATTCCCGGGCCAGCGGCGAG TTCCATTCCCGGGCCAGCGGCGAGCGGCAGCGAC sense ENST00000358752 CD15 579 91 17.17 CDS -0.504730467 0.204188482 -CCAGCGGCGAGCGGCAGCGA CGGGCCAGCGGCGAGCGGCAGCGACGGCTGGAGC sense ENST00000358752 CD15 588 94 17.74 CDS -0.418216936 0.235602094 -CGGCGAGCGGCAGCGACGGC CCAGCGGCGAGCGGCAGCGACGGCTGGAGCCGCA sense ENST00000358752 CD15 592 95 17.92 CDS -0.263529338 0.293193717 -CGGCTCTCATGCTGTAGCTG GCACCGGCTCTCATGCTGTAGCTGCGGCTCCAGC antisense ENST00000358752 CD15 606 100 18.87 CDS -0.568958063 0.17539267 -CGCAGCTACAGCATGAGAGC GAGCCGCAGCTACAGCATGAGAGCCGGTGCCGCT sense ENST00000358752 CD15 618 104 19.62 CDS -0.45158984 0.22513089 -CAGGCGTGGAGGAGCGGCAC TCCGCAGGCGTGGAGGAGCGGCACCGGCTCTCAT antisense ENST00000358752 CD15 626 106 20 CDS -0.422203366 0.232984293 -CGTCCGCAGGCGTGGAGGAG CACGCGTCCGCAGGCGTGGAGGAGCGGCACCGGC antisense ENST00000358752 CD15 632 108 20.38 CDS -0.338940902 0.267015707 -CCACGCGTCCGCAGGCGTGG CTCGCCACGCGTCCGCAGGCGTGGAGGAGCGGCA antisense ENST00000358752 CD15 637 110 20.75 CDS -0.713774886 0.112565445 -TCGCCACGCGTCCGCAGGCG CCGCTCGCCACGCGTCCGCAGGCGTGGAGGAGCG antisense ENST00000358752 CD15 640 111 20.94 CDS -0.581696085 0.167539267 -GTGCCGCTCCTCCACGCCTG GCCGGTGCCGCTCCTCCACGCCTGCGGACGCGTG sense ENST00000358752 CD15 640 111 20.94 CDS -0.560525541 0.178010471 -TCCGCTCGCCACGCGTCCGC TGCCTCCGCTCGCCACGCGTCCGCAGGCGTGGAG antisense ENST00000358752 CD15 645 113 21.32 CDS -0.02963869 0.340314136 -CCTCCACGCCTGCGGACGCG CGCTCCTCCACGCCTGCGGACGCGTGGCGAGCGG sense ENST00000358752 CD15 648 114 21.51 CDS -0.027814283 0.342931937 -GCCTGCGGACGCGTGGCGAG CCACGCCTGCGGACGCGTGGCGAGCGGAGGCAGC sense ENST00000358752 CD15 655 116 21.89 CDS -0.092520705 0.321989529 -TGCGGACGCGTGGCGAGCGG CGCCTGCGGACGCGTGGCGAGCGGAGGCAGCGCT sense ENST00000358752 CD15 658 117 22.08 CDS 0.112847229 0.356020942 -GGTGCCCCCATGGCGCGAAC CCACGGTGCCCCCATGGCGCGAACAGGCAGCGCT antisense ENST00000358752 CD15 678 124 23.4 CDS 0.374075755 0.397905759 -AGCGCTGCCTGTTCGCGCCA AGGCAGCGCTGCCTGTTCGCGCCATGGGGGCACC sense ENST00000358752 CD15 682 125 23.58 CDS 0.575227676 0.452879581 -GCGCTGCCTGTTCGCGCCAT GGCAGCGCTGCCTGTTCGCGCCATGGGGGCACCG sense ENST00000358752 CD15 683 125 23.58 CDS -0.559692142 0.180628272 -CGCTGCCTGTTCGCGCCATG GCAGCGCTGCCTGTTCGCGCCATGGGGGCACCGT sense ENST00000358752 CD15 684 126 23.77 CDS 0.72802946 0.494764398 -GCTGCCTGTTCGCGCCATGG CAGCGCTGCCTGTTCGCGCCATGGGGGCACCGTG sense ENST00000358752 CD15 685 126 23.77 CDS 1.233356781 0.751308901 -CGAGCCCCACGGTGCCCCCA TCGGCGAGCCCCACGGTGCCCCCATGGCGCGAAC antisense ENST00000358752 CD15 688 127 23.96 CDS 1.010542727 0.589005236 -TTCGCGCCATGGGGGCACCG CCTGTTCGCGCCATGGGGGCACCGTGGGGCTCGC sense ENST00000358752 CD15 693 129 24.34 CDS 1.222882542 0.746073298 -TCGCGCCATGGGGGCACCGT CTGTTCGCGCCATGGGGGCACCGTGGGGCTCGCC sense ENST00000358752 CD15 694 129 24.34 CDS 1.085762925 0.628272251 -CGCGCCATGGGGGCACCGTG TGTTCGCGCCATGGGGGCACCGTGGGGCTCGCCG sense ENST00000358752 CD15 695 129 24.34 CDS 1.14981 0.672774869 -GCCGCCGTCGGCGAGCCCCA CGCCGCCGCCGTCGGCGAGCCCCACGGTGCCCCC antisense ENST00000358752 CD15 699 131 24.72 CDS 0.631880043 0.460732984 -GGCACCGTGGGGCTCGCCGA TGGGGGCACCGTGGGGCTCGCCGACGGCGGCGGC sense ENST00000358752 CD15 706 133 25.09 CDS 0.879774248 0.534031414 -ACCGTGGGGCTCGCCGACGG GGGCACCGTGGGGCTCGCCGACGGCGGCGGCGGG sense ENST00000358752 CD15 709 134 25.28 CDS 0.991949476 0.57591623 -CGCCCGCCCGCCGCCGCCGT GCGCCGCCCGCCCGCCGCCGCCGTCGGCGAGCCC antisense ENST00000358752 CD15 711 135 25.47 CDS 0.867415229 0.531413613 -GTGGGGCTCGCCGACGGCGG CACCGTGGGGCTCGCCGACGGCGGCGGCGGGCGG sense ENST00000358752 CD15 712 135 25.47 CDS 0.460886491 0.413612565 -GGGCTCGCCGACGGCGGCGG CGTGGGGCTCGCCGACGGCGGCGGCGGGCGGGCG sense ENST00000358752 CD15 715 136 25.66 CDS -0.323730113 0.272251309 -GGCTCGCCGACGGCGGCGGC GTGGGGCTCGCCGACGGCGGCGGCGGGCGGGCGG sense ENST00000358752 CD15 716 136 25.66 CDS 0.269105478 0.379581152 -TCGCCGACGGCGGCGGCGGG GGGCTCGCCGACGGCGGCGGCGGGCGGGCGGCGC sense ENST00000358752 CD15 719 137 25.85 CDS -0.946174778 0.020942408 -CGCCGACGGCGGCGGCGGGC GGCTCGCCGACGGCGGCGGCGGGCGGGCGGCGCG sense ENST00000358752 CD15 720 138 26.04 CDS 0.243122257 0.371727749 -CGACGGCGGCGGCGGGCGGG TCGCCGACGGCGGCGGCGGGCGGGCGGCGCGGGT sense ENST00000358752 CD15 723 139 26.23 CDS -1.122014348 0.010471204 -GCGGCGGCGGGCGGGCGGCG GACGGCGGCGGCGGGCGGGCGGCGCGGGTGGCGC sense ENST00000358752 CD15 728 140 26.42 CDS -1.241448389 0.005235602 -CGGCGGCGGGCGGGCGGCGC ACGGCGGCGGCGGGCGGGCGGCGCGGGTGGCGCC sense ENST00000358752 CD15 729 141 26.6 CDS 0.381699923 0.40052356 -CGGCGGGCGGGCGGCGCGGG GCGGCGGCGGGCGGGCGGCGCGGGTGGCGCCGAG sense ENST00000358752 CD15 732 142 26.79 CDS -0.642336967 0.141361257 -GGGCGGCGCGGGTGGCGCCG GGGCGGGCGGCGCGGGTGGCGCCGAGGCCGGGGG sense ENST00000358752 CD15 740 144 27.17 CDS -0.730748127 0.104712042 -GGCGCGGGTGGCGCCGAGGC GGGCGGCGCGGGTGGCGCCGAGGCCGGGGGCTGC sense ENST00000358752 CD15 744 146 27.55 CDS -0.428926601 0.230366492 -GCGCGGGTGGCGCCGAGGCC GGCGGCGCGGGTGGCGCCGAGGCCGGGGGCTGCC sense ENST00000358752 CD15 745 146 27.55 CDS -0.813460199 0.057591623 -TCCATGGCAGCCCCCGGCCT ACGGTCCATGGCAGCCCCCGGCCTCGGCGCCACC antisense ENST00000358752 CD15 746 146 27.55 CDS -0.695029549 0.123036649 -CGCGGGTGGCGCCGAGGCCG GCGGCGCGGGTGGCGCCGAGGCCGGGGGCTGCCA sense ENST00000358752 CD15 746 146 27.55 CDS -0.157164584 0.308900524 -GCGGGTGGCGCCGAGGCCGG CGGCGCGGGTGGCGCCGAGGCCGGGGGCTGCCAT sense ENST00000358752 CD15 747 147 27.74 CDS 0.919384127 0.54973822 -AGACGGTCCATGGCAGCCCC ACACAGACGGTCCATGGCAGCCCCCGGCCTCGGC antisense ENST00000358752 CD15 752 148 27.92 CDS 1.023340432 0.596858639 -GCCGAGGCCGGGGGCTGCCA TGGCGCCGAGGCCGGGGGCTGCCATGGACCGTCT sense ENST00000358752 CD15 756 150 28.3 CDS 1.157792553 0.685863874 -GCCAGCACACAGACGGTCCA GGCCGCCAGCACACAGACGGTCCATGGCAGCCCC antisense ENST00000358752 CD15 762 152 28.68 CDS 1.257326677 0.780104712 -GGCGGCCGCCAGCACACAGA AGCCGGCGGCCGCCAGCACACAGACGGTCCATGG antisense ENST00000358752 CD15 769 154 29.06 CDS 1.184995158 0.693717277 -GCCATGGACCGTCTGTGTGC GGCTGCCATGGACCGTCTGTGTGCTGGCGGCCGC sense ENST00000358752 CD15 772 155 29.25 CDS 1.100723898 0.643979058 -ATGGACCGTCTGTGTGCTGG TGCCATGGACCGTCTGTGTGCTGGCGGCCGCCGG sense ENST00000358752 CD15 775 156 29.43 CDS 1.099366477 0.641361257 -GTCTGTGTGCTGGCGGCCGC GACCGTCTGTGTGCTGGCGGCCGCCGGCTTGACG sense ENST00000358752 CD15 782 158 29.81 CDS 1.242241847 0.767015707 -CGCCGTACACGTCAAGCCGG TCAGCGCCGTACACGTCAAGCCGGCGGCCGCCAG antisense ENST00000358752 CD15 787 160 30.19 CDS 1.23670208 0.759162304 -CAGCGCCGTACACGTCAAGC TGATCAGCGCCGTACACGTCAAGCCGGCGGCCGC antisense ENST00000358752 CD15 790 161 30.38 CDS 0.970760805 0.568062827 -GGCCGCCGGCTTGACGTGTA TGGCGGCCGCCGGCTTGACGTGTACGGCGCTGAT sense ENST00000358752 CD15 796 163 30.75 CDS 0.711260956 0.486910995 -CAGCTGCCCCCAGCAAGCGT GCGGCAGCTGCCCCCAGCAAGCGTAGGTGATCAG antisense ENST00000358752 CD15 817 170 32.08 CDS 1.317623874 0.835078534 -CGCTGATCACCTACGCTTGC ACGGCGCTGATCACCTACGCTTGCTGGGGGCAGC sense ENST00000358752 CD15 819 171 32.26 CDS 0.710767179 0.484293194 -GCTGATCACCTACGCTTGCT CGGCGCTGATCACCTACGCTTGCTGGGGGCAGCT sense ENST00000358752 CD15 820 171 32.26 CDS 1.254686547 0.77486911 -CTGATCACCTACGCTTGCTG GGCGCTGATCACCTACGCTTGCTGGGGGCAGCTG sense ENST00000358752 CD15 821 171 32.26 CDS 1.15089343 0.678010471 -TGATCACCTACGCTTGCTGG GCGCTGATCACCTACGCTTGCTGGGGGCAGCTGC sense ENST00000358752 CD15 822 172 32.45 CDS 1.276741861 0.795811518 -GGCGACGCCCAGGGCAGCGG GGTTGGCGACGCCCAGGGCAGCGGCGGCAGCTGC antisense ENST00000358752 CD15 840 178 33.58 CDS 0.765508582 0.502617801 -GGCAGCTGCCGCCGCTGCCC TGGGGGCAGCTGCCGCCGCTGCCCTGGGCGTCGC sense ENST00000358752 CD15 843 179 33.77 CDS -0.851626564 0.04973822 -GTTGGCGACGCCCAGGGCAG CGGGGTTGGCGACGCCCAGGGCAGCGGCGGCAGC antisense ENST00000358752 CD15 843 179 33.77 CDS 0.975667254 0.570680628 -GCAGCTGCCGCCGCTGCCCT GGGGGCAGCTGCCGCCGCTGCCCTGGGCGTCGCC sense ENST00000358752 CD15 844 179 33.77 CDS 1.133166668 0.657068063 -GACGGGGTTGGCGACGCCCA TCGCGACGGGGTTGGCGACGCCCAGGGCAGCGGC antisense ENST00000358752 CD15 849 181 34.15 CDS 1.07558897 0.620418848 -CGACGGGGTTGGCGACGCCC GTCGCGACGGGGTTGGCGACGCCCAGGGCAGCGG antisense ENST00000358752 CD15 850 181 34.15 CDS 1.206001617 0.709424084 -CCCACCGGTCGCGACGGGGT CACGCCCACCGGTCGCGACGGGGTTGGCGACGCC antisense ENST00000358752 CD15 861 185 34.91 CDS 1.07347202 0.615183246 -CACGCCCACCGGTCGCGACG GCAGCACGCCCACCGGTCGCGACGGGGTTGGCGA antisense ENST00000358752 CD15 865 186 35.09 CDS 0.929721574 0.560209424 -GCACGCCCACCGGTCGCGAC AGCAGCACGCCCACCGGTCGCGACGGGGTTGGCG antisense ENST00000358752 CD15 866 186 35.09 CDS 0.912891195 0.547120419 -AGCACGCCCACCGGTCGCGA CAGCAGCACGCCCACCGGTCGCGACGGGGTTGGC antisense ENST00000358752 CD15 867 187 35.28 CDS 1.08064764 0.62565445 -GTCGCCAACCCCGTCGCGAC GGGCGTCGCCAACCCCGTCGCGACCGGTGGGCGT sense ENST00000358752 CD15 868 187 35.28 CDS 0.839828627 0.52617801 -GCCAACCCCGTCGCGACCGG CGTCGCCAACCCCGTCGCGACCGGTGGGCGTGCT sense ENST00000358752 CD15 871 188 35.47 CDS 1.350415102 0.858638743 -CCAACCCCGTCGCGACCGGT GTCGCCAACCCCGTCGCGACCGGTGGGCGTGCTG sense ENST00000358752 CD15 872 188 35.47 CDS 1.374094996 0.887434555 -CACCACAGCAGCACGCCCAC CTCCCACCACAGCAGCACGCCCACCGGTCGCGAC antisense ENST00000358752 CD15 876 190 35.85 CDS 1.427128514 0.92408377 -GACCGGTGGGCGTGCTGCTG TCGCGACCGGTGGGCGTGCTGCTGTGGTGGGAGC sense ENST00000358752 CD15 885 193 36.42 CDS 1.218757203 0.735602094 -CGGTGGGCGTGCTGCTGTGG CGACCGGTGGGCGTGCTGCTGTGGTGGGAGCCCT sense ENST00000358752 CD15 888 194 36.6 CDS 1.308178788 0.827225131 -GGTGGGCGTGCTGCTGTGGT GACCGGTGGGCGTGCTGCTGTGGTGGGAGCCCTT sense ENST00000358752 CD15 889 194 36.6 CDS 1.379431635 0.892670157 -CTGCTGTGGTGGGAGCCCTT CGTGCTGCTGTGGTGGGAGCCCTTCGGGGGGCGC sense ENST00000358752 CD15 899 197 37.17 CDS 0.572576256 0.45026178 -TGCTGTGGTGGGAGCCCTTC GTGCTGCTGTGGTGGGAGCCCTTCGGGGGGCGCG sense ENST00000358752 CD15 900 198 37.36 CDS 0.076771418 0.348167539 -GCTGTGGTGGGAGCCCTTCG TGCTGCTGTGGTGGGAGCCCTTCGGGGGGCGCGA sense ENST00000358752 CD15 901 198 37.36 CDS 1.371712432 0.882198953 -CTGTGGTGGGAGCCCTTCGG GCTGCTGTGGTGGGAGCCCTTCGGGGGGCGCGAT sense ENST00000358752 CD15 902 198 37.36 CDS 1.288013223 0.808900524 -GCGCTATCGCGCCCCCCGAA CGGGGCGCTATCGCGCCCCCCGAAGGGCTCCCAC antisense ENST00000358752 CD15 903 199 37.55 CDS 0.355152741 0.390052356 -TGTGGTGGGAGCCCTTCGGG CTGCTGTGGTGGGAGCCCTTCGGGGGGCGCGATA sense ENST00000358752 CD15 903 199 37.55 CDS 1.219885844 0.740837696 -GGCGCTATCGCGCCCCCCGA TCGGGGCGCTATCGCGCCCCCCGAAGGGCTCCCA antisense ENST00000358752 CD15 904 199 37.55 CDS -0.854334496 0.047120419 -GGGGGCGCGATAGCGCCCCG TTCGGGGGGCGCGATAGCGCCCCGAGGCCGCCCC sense ENST00000358752 CD15 921 205 38.68 CDS -1.336171423 0.002617801 -GCAGTCAGGGGGCGGCCTCG GCCGGCAGTCAGGGGGCGGCCTCGGGGCGCTATC antisense ENST00000358752 CD15 925 206 38.87 CDS 1.143991978 0.664921466 -GGCAGTCAGGGGGCGGCCTC AGCCGGCAGTCAGGGGGCGGCCTCGGGGCGCTAT antisense ENST00000358752 CD15 926 206 38.87 CDS -0.468969219 0.219895288 -CGGCAGTCAGGGGGCGGCCT CAGCCGGCAGTCAGGGGGCGGCCTCGGGGCGCTA antisense ENST00000358752 CD15 927 207 39.06 CDS -0.875684293 0.034031414 -CGCAGCCGGCAGTCAGGGGG GAAGCGCAGCCGGCAGTCAGGGGGCGGCCTCGGG antisense ENST00000358752 CD15 933 209 39.43 CDS 1.066262091 0.612565445 -AAGCGCAGCCGGCAGTCAGG GTTGAAGCGCAGCCGGCAGTCAGGGGGCGGCCTC antisense ENST00000358752 CD15 936 210 39.62 CDS 1.197352398 0.701570681 -GAAGCGCAGCCGGCAGTCAG TGTTGAAGCGCAGCCGGCAGTCAGGGGGCGGCCT antisense ENST00000358752 CD15 937 210 39.62 CDS 1.297733391 0.82460733 -TGAAGCGCAGCCGGCAGTCA ATGTTGAAGCGCAGCCGGCAGTCAGGGGGCGGCC antisense ENST00000358752 CD15 938 210 39.62 CDS 1.208235722 0.714659686 -TTGAAGCGCAGCCGGCAGTC GATGTTGAAGCGCAGCCGGCAGTCAGGGGGCGGC antisense ENST00000358752 CD15 939 211 39.81 CDS 0.999058266 0.578534031 -CGAGGCCGCCCCCTGACTGC GCCCCGAGGCCGCCCCCTGACTGCCGGCTGCGCT sense ENST00000358752 CD15 939 211 39.81 CDS 1.371643551 0.879581152 -CGCTGATGTTGAAGCGCAGC CAGCCGCTGATGTTGAAGCGCAGCCGGCAGTCAG antisense ENST00000358752 CD15 947 213 40.19 CDS 0.340785094 0.384816754 -CGGCTGCGCTTCAACATCAG CTGCCGGCTGCGCTTCAACATCAGCGGCTGCCGC sense ENST00000358752 CD15 959 217 40.94 CDS 1.240174095 0.764397906 -ACGCGCGGTCGGTGAGCAGG TAGGACGCGCGGTCGGTGAGCAGGCGGCAGCCGC antisense ENST00000358752 CD15 974 222 41.89 CDS 1.435438201 0.934554974 -AGGACGCGCGGTCGGTGAGC CCGTAGGACGCGCGGTCGGTGAGCAGGCGGCAGC antisense ENST00000358752 CD15 977 223 42.08 CDS 1.144577768 0.667539267 -CTCTCCGTAGGACGCGCGGT GAGCCTCTCCGTAGGACGCGCGGTCGGTGAGCAG antisense ENST00000358752 CD15 985 226 42.64 CDS 1.445272821 0.937172775 -GAGCCTCTCCGTAGGACGCG GCCTGAGCCTCTCCGTAGGACGCGCGGTCGGTGA antisense ENST00000358752 CD15 989 227 42.83 CDS 1.453844553 0.955497382 -CTCACCGACCGCGCGTCCTA CCTGCTCACCGACCGCGCGTCCTACGGAGAGGCT sense ENST00000358752 CD15 992 228 43.02 CDS 1.250863699 0.772251309 -CACGGCCTGAGCCTCTCCGT AAAGCACGGCCTGAGCCTCTCCGTAGGACGCGCG antisense ENST00000358752 CD15 997 230 43.4 CDS 1.401082977 0.910994764 -CGACCGCGCGTCCTACGGAG TCACCGACCGCGCGTCCTACGGAGAGGCTCAGGC sense ENST00000358752 CD15 997 230 43.4 CDS 1.43157696 0.929319372 -CGCGTCCTACGGAGAGGCTC ACCGCGCGTCCTACGGAGAGGCTCAGGCCGTGCT sense ENST00000358752 CD15 1003 232 43.77 CDS 1.552051898 1 -GTCGCGGTGGTGGAAAAGCA CGAGGTCGCGGTGGTGGAAAAGCACGGCCTGAGC antisense ENST00000358752 CD15 1015 236 44.53 CDS 1.496144258 0.981675393 -CCTTCACGAGGTCGCGGTGG GGCCCCTTCACGAGGTCGCGGTGGTGGAAAAGCA antisense ENST00000358752 CD15 1025 239 45.09 CDS 1.330476993 0.845549738 -GCCCCTTCACGAGGTCGCGG GGGGGCCCCTTCACGAGGTCGCGGTGGTGGAAAA antisense ENST00000358752 CD15 1028 240 45.28 CDS 1.54190203 0.994764398 -GGGGCCCCTTCACGAGGTCG TCGGGGGGCCCCTTCACGAGGTCGCGGTGGTGGA antisense ENST00000358752 CD15 1031 241 45.47 CDS 1.432835041 0.931937173 -CCACCACCGCGACCTCGTGA TTTTCCACCACCGCGACCTCGTGAAGGGGCCCCC sense ENST00000358752 CD15 1036 243 45.85 CDS 1.372905038 0.884816754 -AGTCGGGGGGCCCCTTCACG GGCCAGTCGGGGGGCCCCTTCACGAGGTCGCGGT antisense ENST00000358752 CD15 1037 243 45.85 CDS 1.191194253 0.69895288 -CACCACCGCGACCTCGTGAA TTTCCACCACCGCGACCTCGTGAAGGGGCCCCCC sense ENST00000358752 CD15 1037 243 45.85 CDS 1.277157529 0.80104712 -ACCACCGCGACCTCGTGAAG TTCCACCACCGCGACCTCGTGAAGGGGCCCCCCG sense ENST00000358752 CD15 1038 244 46.04 CDS 1.288758617 0.811518325 -CAGGGCGGGGGCCAGTCGGG GCCCCAGGGCGGGGGCCAGTCGGGGGGCCCCTTC antisense ENST00000358752 CD15 1050 248 46.79 CDS 0.467815921 0.416230366 -TCGTGAAGGGGCCCCCCGAC GACCTCGTGAAGGGGCCCCCCGACTGGCCCCCGC sense ENST00000358752 CD15 1050 248 46.79 CDS 0.624661658 0.458115183 -CCAGGGCGGGGGCCAGTCGG TGCCCCAGGGCGGGGGCCAGTCGGGGGGCCCCTT antisense ENST00000358752 CD15 1051 248 46.79 CDS 1.005673008 0.583769634 -CCCAGGGCGGGGGCCAGTCG ATGCCCCAGGGCGGGGGCCAGTCGGGGGGCCCCT antisense ENST00000358752 CD15 1052 248 46.79 CDS 1.216561319 0.730366492 -CCCCAGGGCGGGGGCCAGTC GATGCCCCAGGGCGGGGGCCAGTCGGGGGGCCCC antisense ENST00000358752 CD15 1053 249 46.98 CDS -0.804932643 0.062827225 -GCCCCAGGGCGGGGGCCAGT GGATGCCCCAGGGCGGGGGCCAGTCGGGGGGCCC antisense ENST00000358752 CD15 1054 249 46.98 CDS -0.703071678 0.117801047 -CCCCCGACTGGCCCCCGCCC GGGCCCCCCGACTGGCCCCCGCCCTGGGGCATCC sense ENST00000358752 CD15 1062 252 47.55 CDS 0.773415229 0.510471204 -GCCTGGATGCCCCAGGGCGG GTGCGCCTGGATGCCCCAGGGCGGGGGCCAGTCG antisense ENST00000358752 CD15 1062 252 47.55 CDS 0.840592462 0.528795812 -CGCCTGGATGCCCCAGGGCG TGTGCGCCTGGATGCCCCAGGGCGGGGGCCAGTC antisense ENST00000358752 CD15 1063 252 47.55 CDS -0.701328917 0.120418848 -CCCCGACTGGCCCCCGCCCT GGCCCCCCGACTGGCCCCCGCCCTGGGGCATCCA sense ENST00000358752 CD15 1063 252 47.55 CDS -0.130892819 0.314136126 -GCGCCTGGATGCCCCAGGGC GTGTGCGCCTGGATGCCCCAGGGCGGGGGCCAGT antisense ENST00000358752 CD15 1064 252 47.55 CDS 1.154171473 0.683246073 -CCCGACTGGCCCCCGCCCTG GCCCCCCGACTGGCCCCCGCCCTGGGGCATCCAG sense ENST00000358752 CD15 1064 252 47.55 CDS 1.209499674 0.717277487 -TGCGCCTGGATGCCCCAGGG AGTGTGCGCCTGGATGCCCCAGGGCGGGGGCCAG antisense ENST00000358752 CD15 1065 253 47.74 CDS 0.432211823 0.410994764 -GTGTGCGCCTGGATGCCCCA GGCAGTGTGCGCCTGGATGCCCCAGGGCGGGGGC antisense ENST00000358752 CD15 1068 254 47.92 CDS 1.380439277 0.895287958 -AGTGTGCGCCTGGATGCCCC CGGCAGTGTGCGCCTGGATGCCCCAGGGCGGGGG antisense ENST00000358752 CD15 1069 254 47.92 CDS 1.141252852 0.662303665 -GCCCCCGCCCTGGGGCATCC ACTGGCCCCCGCCCTGGGGCATCCAGGCGCACAC sense ENST00000358752 CD15 1072 255 48.11 CDS 0.668650715 0.476439791 -CCTCCTCGGCAGTGTGCGCC TCCACCTCCTCGGCAGTGTGCGCCTGGATGCCCC antisense ENST00000358752 CD15 1079 257 48.49 CDS 0.657306542 0.463350785 -CATCCAGGCGCACACTGCCG GGGGCATCCAGGCGCACACTGCCGAGGAGGTGGA sense ENST00000358752 CD15 1087 260 49.06 CDS 0.812193454 0.518324607 -CCAGGCGCACACTGCCGAGG GCATCCAGGCGCACACTGCCGAGGAGGTGGATCT sense ENST00000358752 CD15 1090 261 49.25 CDS 1.22285433 0.743455497 -GGCGCACACTGCCGAGGAGG TCCAGGCGCACACTGCCGAGGAGGTGGATCTGCG sense ENST00000358752 CD15 1093 262 49.43 CDS 0.539732829 0.434554974 -CACGCGCAGATCCACCTCCT CCAACACGCGCAGATCCACCTCCTCGGCAGTGTG antisense ENST00000358752 CD15 1093 262 49.43 CDS 0.588222173 0.455497382 -GGAGGTGGATCTGCGCGTGT CCGAGGAGGTGGATCTGCGCGTGTTGGACTACGA sense ENST00000358752 CD15 1108 267 50.38 CDS 0.773519623 0.513089005 -TCTGCGCGTGTTGGACTACG TGGATCTGCGCGTGTTGGACTACGAGGAGGCAGC sense ENST00000358752 CD15 1117 270 50.94 CDS 0.883790699 0.539267016 -GCGCGTGTTGGACTACGAGG ATCTGCGCGTGTTGGACTACGAGGAGGCAGCGGC sense ENST00000358752 CD15 1120 271 51.13 CDS 1.234916244 0.756544503 -GTTGGACTACGAGGAGGCAG GCGTGTTGGACTACGAGGAGGCAGCGGCGGCGGC sense ENST00000358752 CD15 1126 273 51.51 CDS 1.088174695 0.630890052 -GGACTACGAGGAGGCAGCGG TGTTGGACTACGAGGAGGCAGCGGCGGCGGCAGA sense ENST00000358752 CD15 1129 274 51.7 CDS 1.077835049 0.623036649 -CTACGAGGAGGCAGCGGCGG TGGACTACGAGGAGGCAGCGGCGGCGGCAGAAGC sense ENST00000358752 CD15 1132 275 51.89 CDS 0.768395547 0.505235602 -AGCGGCGGCGGCAGAAGCCC AGGCAGCGGCGGCGGCAGAAGCCCTGGCGACCTC sense ENST00000358752 CD15 1144 279 52.64 CDS 1.035354566 0.59947644 -CCTGGGGCTGGAGGTCGCCA GGGGCCTGGGGCTGGAGGTCGCCAGGGCTTCTGC antisense ENST00000358752 CD15 1150 281 53.02 CDS 1.451769704 0.95026178 -GCCTGGGGCTGGAGGTCGCC GGGGGCCTGGGGCTGGAGGTCGCCAGGGCTTCTG antisense ENST00000358752 CD15 1151 281 53.02 CDS 0.774917133 0.515706806 -GCCCGGGGGCCTGGGGCTGG GCTGGCCCGGGGGCCTGGGGCTGGAGGTCGCCAG antisense ENST00000358752 CD15 1159 284 53.58 CDS 0.359178625 0.392670157 -CCCTGGCGACCTCCAGCCCC GAAGCCCTGGCGACCTCCAGCCCCAGGCCCCCGG sense ENST00000358752 CD15 1161 285 53.77 CDS 0.982880055 0.573298429 -CTGGCCCGGGGGCCTGGGGC AGCGCTGGCCCGGGGGCCTGGGGCTGGAGGTCGC antisense ENST00000358752 CD15 1162 285 53.77 CDS -0.482104345 0.214659686 -AGCGCTGGCCCGGGGGCCTG ACCCAGCGCTGGCCCGGGGGCCTGGGGCTGGAGG antisense ENST00000358752 CD15 1166 286 53.96 CDS 1.188354247 0.696335079 -CAGCGCTGGCCCGGGGGCCT AACCCAGCGCTGGCCCGGGGGCCTGGGGCTGGAG antisense ENST00000358752 CD15 1167 287 54.15 CDS -0.865329435 0.036649215 -CCAGCGCTGGCCCGGGGGCC AAACCCAGCGCTGGCCCGGGGGCCTGGGGCTGGA antisense ENST00000358752 CD15 1168 287 54.15 CDS -0.953955495 0.018324607 -GACCTCCAGCCCCAGGCCCC TGGCGACCTCCAGCCCCAGGCCCCCGGGCCAGCG sense ENST00000358752 CD15 1168 287 54.15 CDS 0.716482645 0.489528796 -ACCTCCAGCCCCAGGCCCCC GGCGACCTCCAGCCCCAGGCCCCCGGGCCAGCGC sense ENST00000358752 CD15 1169 287 54.15 CDS 1.09022049 0.633507853 -CAAACCCAGCGCTGGCCCGG CATCCAAACCCAGCGCTGGCCCGGGGGCCTGGGG antisense ENST00000358752 CD15 1173 289 54.53 CDS 1.490306076 0.976439791 -CCAAACCCAGCGCTGGCCCG TCATCCAAACCCAGCGCTGGCCCGGGGGCCTGGG antisense ENST00000358752 CD15 1174 289 54.53 CDS 1.276857338 0.798429319 -TCCAAACCCAGCGCTGGCCC TTCATCCAAACCCAGCGCTGGCCCGGGGGCCTGG antisense ENST00000358752 CD15 1175 289 54.53 CDS 1.149206219 0.670157068 -ATCCAAACCCAGCGCTGGCC GTTCATCCAAACCCAGCGCTGGCCCGGGGGCCTG antisense ENST00000358752 CD15 1176 290 54.72 CDS -0.742563635 0.094240838 -CCAGGCCCCCGGGCCAGCGC AGCCCCAGGCCCCCGGGCCAGCGCTGGGTTTGGA sense ENST00000358752 CD15 1179 291 54.91 CDS -0.706051809 0.115183246 -CAGGCCCCCGGGCCAGCGCT GCCCCAGGCCCCCGGGCCAGCGCTGGGTTTGGAT sense ENST00000358752 CD15 1180 291 54.91 CDS -0.558100464 0.183246073 -AGTTCATCCAAACCCAGCGC TCGAAGTTCATCCAAACCCAGCGCTGGCCCGGGG antisense ENST00000358752 CD15 1181 291 54.91 CDS 1.267373642 0.787958115 -CCCCGGGCCAGCGCTGGGTT AGGCCCCCGGGCCAGCGCTGGGTTTGGATGAACT sense ENST00000358752 CD15 1185 293 55.28 CDS 1.359082849 0.866492147 -CGCAGCCCCGGGGAGTGCGA GCTTCGCAGCCCCGGGGAGTGCGAGGGCGACTCG antisense ENST00000358752 CD15 1212 302 56.98 CDS 1.355673779 0.863874346 -TCGCAGCCCCGGGGAGTGCG GGCTTCGCAGCCCCGGGGAGTGCGAGGGCGACTC antisense ENST00000358752 CD15 1213 302 56.98 CDS 1.376682216 0.890052356 -CGAGTCGCCCTCGCACTCCC ACTTCGAGTCGCCCTCGCACTCCCCGGGGCTGCG sense ENST00000358752 CD15 1216 303 57.17 CDS 0.894497435 0.541884817 -GAGTCGCCCTCGCACTCCCC CTTCGAGTCGCCCTCGCACTCCCCGGGGCTGCGA sense ENST00000358752 CD15 1217 303 57.17 CDS 1.237626264 0.761780105 -AGTCGCCCTCGCACTCCCCG TTCGAGTCGCCCTCGCACTCCCCGGGGCTGCGAA sense ENST00000358752 CD15 1218 304 57.36 CDS 1.371460293 0.876963351 -TGCCAGGCTTCGCAGCCCCG TACTTGCCAGGCTTCGCAGCCCCGGGGAGTGCGA antisense ENST00000358752 CD15 1222 305 57.55 CDS 1.450323495 0.947643979 -TTGCCAGGCTTCGCAGCCCC TTACTTGCCAGGCTTCGCAGCCCCGGGGAGTGCG antisense ENST00000358752 CD15 1223 305 57.55 CDS 1.317397782 0.832460733 -CTTGCCAGGCTTCGCAGCCC GTTACTTGCCAGGCTTCGCAGCCCCGGGGAGTGC antisense ENST00000358752 CD15 1224 306 57.74 CDS 1.290322706 0.814136126 -CTCCCCGGGGCTGCGAAGCC CGCACTCCCCGGGGCTGCGAAGCCTGGCAAGTAA sense ENST00000358752 CD15 1231 308 58.11 CDS -0.748863168 0.086387435 -AGTTGAAGAGGTTACTTGCC GTCCAGTTGAAGAGGTTACTTGCCAGGCTTCGCA antisense ENST00000358752 CD15 1238 310 58.49 CDS 0.55373971 0.445026178 -AGGAGAGCGTCCAGTTGAAG CGGTAGGAGAGCGTCCAGTTGAAGAGGTTACTTG antisense ENST00000358752 CD15 1250 314 59.25 CDS 1.449219248 0.942408377 -TGGCAAGTAACCTCTTCAAC AGCCTGGCAAGTAACCTCTTCAACTGGACGCTCT sense ENST00000358752 CD15 1251 315 59.43 CDS 1.095388325 0.638743455 -TCAACTGGACGCTCTCCTAC CTCTTCAACTGGACGCTCTCCTACCGGGCGGACT sense ENST00000358752 CD15 1266 320 60.38 CDS 1.508092048 0.984293194 -CAACTGGACGCTCTCCTACC TCTTCAACTGGACGCTCTCCTACCGGGCGGACTC sense ENST00000358752 CD15 1267 320 60.38 CDS 1.452308687 0.952879581 -CTGGACGCTCTCCTACCGGG TCAACTGGACGCTCTCCTACCGGGCGGACTCGGA sense ENST00000358752 CD15 1270 321 60.57 CDS 1.233962316 0.753926702 -GACGTCCGAGTCCGCCCGGT CAAAGACGTCCGAGTCCGCCCGGTAGGAGAGCGT antisense ENST00000358752 CD15 1270 321 60.57 CDS 1.284790454 0.806282723 -CAAAGACGTCCGAGTCCGCC GGCACAAAGACGTCCGAGTCCGCCCGGTAGGAGA antisense ENST00000358752 CD15 1274 322 60.75 CDS 1.426638587 0.921465969 -GCTCTCCTACCGGGCGGACT GGACGCTCTCCTACCGGGCGGACTCGGACGTCTT sense ENST00000358752 CD15 1276 323 60.94 CDS 1.322167798 0.840314136 -TCGGACGTCTTTGTGCCTTA GGACTCGGACGTCTTTGTGCCTTATGGCTACCTC sense ENST00000358752 CD15 1295 329 62.08 CDS 0.536534757 0.431937173 -CTGGGGTAGAGGTAGCCATA GCTTCTGGGGTAGAGGTAGCCATAAGGCACAAAG antisense ENST00000358752 CD15 1299 331 62.45 CDS 1.102300145 0.646596859 -CGGGGTGGCTTCTGGGGTAG TCGCCGGGGTGGCTTCTGGGGTAGAGGTAGCCAT antisense ENST00000358752 CD15 1310 334 63.02 CDS 1.327296495 0.842931937 -GGTCGCCGGGGTGGCTTCTG GGCGGGTCGCCGGGGTGGCTTCTGGGGTAGAGGT antisense ENST00000358752 CD15 1316 336 63.4 CDS 1.215644718 0.727748691 -GGGTCGCCGGGGTGGCTTCT GGGCGGGTCGCCGGGGTGGCTTCTGGGGTAGAGG antisense ENST00000358752 CD15 1317 337 63.58 CDS 0.921538855 0.552356021 -CGGGTCGCCGGGGTGGCTTC AGGGCGGGTCGCCGGGGTGGCTTCTGGGGTAGAG antisense ENST00000358752 CD15 1318 337 63.58 CDS 0.747195429 0.497382199 -CTCTACCCCAGAAGCCACCC CTACCTCTACCCCAGAAGCCACCCCGGCGACCCG sense ENST00000358752 CD15 1322 338 63.77 CDS 1.34348138 0.853403141 -CTGAGGGCGGGTCGCCGGGG AGGCCTGAGGGCGGGTCGCCGGGGTGGCTTCTGG antisense ENST00000358752 CD15 1325 339 63.96 CDS 1.150648444 0.67539267 -GGCCTGAGGGCGGGTCGCCG GCCAGGCCTGAGGGCGGGTCGCCGGGGTGGCTTC antisense ENST00000358752 CD15 1328 340 64.15 CDS -0.2836961 0.280104712 -AGGCCTGAGGGCGGGTCGCC GGCCAGGCCTGAGGGCGGGTCGCCGGGGTGGCTT antisense ENST00000358752 CD15 1329 341 64.34 CDS -0.858527346 0.041884817 -CAGGCCTGAGGGCGGGTCGC GGGCCAGGCCTGAGGGCGGGTCGCCGGGGTGGCT antisense ENST00000358752 CD15 1330 341 64.34 CDS 0.717581372 0.492146597 -CACCCCGGCGACCCGCCCTC AAGCCACCCCGGCGACCCGCCCTCAGGCCTGGCC sense ENST00000358752 CD15 1337 343 64.72 CDS 1.203761054 0.706806283 -GCGGGGCCAGGCCTGAGGGC AGTGGCGGGGCCAGGCCTGAGGGCGGGTCGCCGG antisense ENST00000358752 CD15 1337 343 64.72 CDS 1.386692936 0.903141361 -GGCGGGGCCAGGCCTGAGGG CAGTGGCGGGGCCAGGCCTGAGGGCGGGTCGCCG antisense ENST00000358752 CD15 1338 344 64.91 CDS 1.002595964 0.581151832 -AGTGGCGGGGCCAGGCCTGA GGACAGTGGCGGGGCCAGGCCTGAGGGCGGGTCG antisense ENST00000358752 CD15 1341 345 65.09 CDS 1.11028665 0.651832461 -CGGCGACCCGCCCTCAGGCC ACCCCGGCGACCCGCCCTCAGGCCTGGCCCCGCC sense ENST00000358752 CD15 1342 345 65.09 CDS -0.281882094 0.282722513 -CAGTGGCGGGGCCAGGCCTG TGGACAGTGGCGGGGCCAGGCCTGAGGGCGGGTC antisense ENST00000358752 CD15 1342 345 65.09 CDS 0.881688764 0.536649215 -TCCTGGACAGTGGCGGGGCC TGTTTCCTGGACAGTGGCGGGGCCAGGCCTGAGG antisense ENST00000358752 CD15 1349 347 65.47 CDS -0.766046183 0.081151832 -CTGTTTCCTGGACAGTGGCG GCCCCTGTTTCCTGGACAGTGGCGGGGCCAGGCC antisense ENST00000358752 CD15 1354 349 65.85 CDS 1.494476082 0.979057592 -CCTGTTTCCTGGACAGTGGC AGCCCCTGTTTCCTGGACAGTGGCGGGGCCAGGC antisense ENST00000358752 CD15 1355 349 65.85 CDS 1.057820136 0.607329843 -CCCTGTTTCCTGGACAGTGG CAGCCCCTGTTTCCTGGACAGTGGCGGGGCCAGG antisense ENST00000358752 CD15 1356 350 66.04 CDS 1.383326941 0.90052356 -GCCTGGCCCCGCCACTGTCC TCAGGCCTGGCCCCGCCACTGTCCAGGAAACAGG sense ENST00000358752 CD15 1359 351 66.23 CDS 1.044931078 0.602094241 -AGCCCCTGTTTCCTGGACAG CACCAGCCCCTGTTTCCTGGACAGTGGCGGGGCC antisense ENST00000358752 CD15 1359 351 66.23 CDS 1.449697248 0.945026178 -TGCCACCAGCCCCTGTTTCC CCCATGCCACCAGCCCCTGTTTCCTGGACAGTGG antisense ENST00000358752 CD15 1366 353 66.6 CDS 1.054544958 0.604712042 -CCCGCCACTGTCCAGGAAAC TGGCCCCGCCACTGTCCAGGAAACAGGGGCTGGT sense ENST00000358752 CD15 1366 353 66.6 CDS 1.308268047 0.829842932 -CCGCCACTGTCCAGGAAACA GGCCCCGCCACTGTCCAGGAAACAGGGGCTGGTG sense ENST00000358752 CD15 1367 353 66.6 CDS 1.428108593 0.926701571 -CGCCACTGTCCAGGAAACAG GCCCCGCCACTGTCCAGGAAACAGGGGCTGGTGG sense ENST00000358752 CD15 1368 354 66.79 CDS 1.463271217 0.958115183 -ACTGTCCAGGAAACAGGGGC CGCCACTGTCCAGGAAACAGGGGCTGGTGGCATG sense ENST00000358752 CD15 1372 355 66.98 CDS 1.390576592 0.905759162 -GTCCAGGAAACAGGGGCTGG CACTGTCCAGGAAACAGGGGCTGGTGGCATGGGT sense ENST00000358752 CD15 1375 356 67.17 CDS 1.317735305 0.837696335 -GGAAACAGGGGCTGGTGGCA TCCAGGAAACAGGGGCTGGTGGCATGGGTGGTGA sense ENST00000358752 CD15 1380 358 67.55 CDS 0.927050905 0.557591623 -GAAACAGGGGCTGGTGGCAT CCAGGAAACAGGGGCTGGTGGCATGGGTGGTGAG sense ENST00000358752 CD15 1381 358 67.55 CDS 1.215050305 0.72513089 -ACAGGGGCTGGTGGCATGGG GGAAACAGGGGCTGGTGGCATGGGTGGTGAGCCA sense ENST00000358752 CD15 1384 359 67.74 CDS 0.92387432 0.554973822 -TGGCATGGGTGGTGAGCCAC CTGGTGGCATGGGTGGTGAGCCACTGGGACGAGC sense ENST00000358752 CD15 1395 363 68.49 CDS 0.657734841 0.465968586 -GGCATGGGTGGTGAGCCACT TGGTGGCATGGGTGGTGAGCCACTGGGACGAGCG sense ENST00000358752 CD15 1396 363 68.49 CDS 1.522938106 0.986910995 -GGGCCTGGCGCTCGTCCCAG ACCCGGGCCTGGCGCTCGTCCCAGTGGCTCACCA antisense ENST00000358752 CD15 1400 364 68.68 CDS 1.380830283 0.897905759 -GAGCCACTGGGACGAGCGCC TGGTGAGCCACTGGGACGAGCGCCAGGCCCGGGT sense ENST00000358752 CD15 1408 367 69.25 CDS -0.617795129 0.146596859 -ACTGGGACGAGCGCCAGGCC AGCCACTGGGACGAGCGCCAGGCCCGGGTCCGCT sense ENST00000358752 CD15 1413 369 69.62 CDS 1.108195382 0.64921466 -CTGGGACGAGCGCCAGGCCC GCCACTGGGACGAGCGCCAGGCCCGGGTCCGCTA sense ENST00000358752 CD15 1414 369 69.62 CDS 1.366499048 0.869109948 -GGTAGTAGCGGACCCGGGCC TGGTGGTAGTAGCGGACCCGGGCCTGGCGCTCGT antisense ENST00000358752 CD15 1415 369 69.62 CDS -0.615644429 0.151832461 -TTGGTGGTAGTAGCGGACCC TCAGTTGGTGGTAGTAGCGGACCCGGGCCTGGCG antisense ENST00000358752 CD15 1420 371 70 CDS 1.23122273 0.748691099 -GTTGGTGGTAGTAGCGGACC CTCAGTTGGTGGTAGTAGCGGACCCGGGCCTGGC antisense ENST00000358752 CD15 1421 371 70 CDS 1.370711241 0.87434555 -GGCTCAGTTGGTGGTAGTAG TGTTGGCTCAGTTGGTGGTAGTAGCGGACCCGGG antisense ENST00000358752 CD15 1427 373 70.38 CDS 1.021149287 0.594240838 -TCACATGTTGGCTCAGTTGG ACGGTCACATGTTGGCTCAGTTGGTGGTAGTAGC antisense ENST00000358752 CD15 1436 376 70.94 CDS 1.466240957 0.960732984 -CGGTCACATGTTGGCTCAGT TCCACGGTCACATGTTGGCTCAGTTGGTGGTAGT antisense ENST00000358752 CD15 1439 377 71.13 CDS 1.219138379 0.738219895 -ACACGTCCACGGTCACATGT CCGAACACGTCCACGGTCACATGTTGGCTCAGTT antisense ENST00000358752 CD15 1448 380 71.7 CDS 1.277160122 0.803664921 -ACTGAGCCAACATGTGACCG ACCAACTGAGCCAACATGTGACCGTGGACGTGTT sense ENST00000358752 CD15 1453 382 72.08 CDS 1.485953808 0.97382199 -GCCCCGGCCGAACACGTCCA GCCCGCCCCGGCCGAACACGTCCACGGTCACATG antisense ENST00000358752 CD15 1459 384 72.45 CDS 1.540159046 0.992146597 -CATGTGACCGTGGACGTGTT CCAACATGTGACCGTGGACGTGTTCGGCCGGGGC sense ENST00000358752 CD15 1463 385 72.64 CDS 0.755291111 0.5 -TGACCGTGGACGTGTTCGGC CATGTGACCGTGGACGTGTTCGGCCGGGGCGGGC sense ENST00000358752 CD15 1467 387 73.02 CDS 1.140779703 0.659685864 -GACCGTGGACGTGTTCGGCC ATGTGACCGTGGACGTGTTCGGCCGGGGCGGGCC sense ENST00000358752 CD15 1468 387 73.02 CDS 1.152508519 0.680628272 -ACCGTGGACGTGTTCGGCCG TGTGACCGTGGACGTGTTCGGCCGGGGCGGGCCG sense ENST00000358752 CD15 1469 387 73.02 CDS 1.41138912 0.916230366 -GTGGACGTGTTCGGCCGGGG GACCGTGGACGTGTTCGGCCGGGGCGGGCCGGGG sense ENST00000358752 CD15 1472 388 73.21 CDS 1.262428114 0.785340314 -TGGACGTGTTCGGCCGGGGC ACCGTGGACGTGTTCGGCCGGGGCGGGCCGGGGC sense ENST00000358752 CD15 1473 389 73.4 CDS 0.419365304 0.408376963 -CCGGCTGCCCCGGCCCGCCC GGCACCGGCTGCCCCGGCCCGCCCCGGCCGAACA antisense ENST00000358752 CD15 1475 389 73.4 CDS 1.016526565 0.591623037 -CGTGTTCGGCCGGGGCGGGC TGGACGTGTTCGGCCGGGGCGGGCCGGGGCAGCC sense ENST00000358752 CD15 1477 390 73.58 CDS 1.006133884 0.586387435 -GTGTTCGGCCGGGGCGGGCC GGACGTGTTCGGCCGGGGCGGGCCGGGGCAGCCG sense ENST00000358752 CD15 1478 390 73.58 CDS -0.186961451 0.306282723 -TGTTCGGCCGGGGCGGGCCG GACGTGTTCGGCCGGGGCGGGCCGGGGCAGCCGG sense ENST00000358752 CD15 1479 391 73.77 CDS -0.348456116 0.261780105 -ATTTCGGGCACCGGCTGCCC CCCAATTTCGGGCACCGGCTGCCCCGGCCCGCCC antisense ENST00000358752 CD15 1485 393 74.15 CDS -0.612162157 0.157068063 -CCGGGGCGGGCCGGGGCAGC TCGGCCGGGGCGGGCCGGGGCAGCCGGTGCCCGA sense ENST00000358752 CD15 1486 393 74.15 CDS -0.499484617 0.209424084 -AGGAGCCCAATTTCGGGCAC GTGCAGGAGCCCAATTTCGGGCACCGGCTGCCCC antisense ENST00000358752 CD15 1494 396 74.72 CDS -0.585709438 0.164921466 -GGGCAGCCGGTGCCCGAAAT GCCGGGGCAGCCGGTGCCCGAAATTGGGCTCCTG sense ENST00000358752 CD15 1499 397 74.91 CDS -0.804196621 0.065445026 -GGCAGCCGGTGCCCGAAATT CCGGGGCAGCCGGTGCCCGAAATTGGGCTCCTGC sense ENST00000358752 CD15 1500 398 75.09 CDS -0.530772935 0.191099476 -GTGTGCAGGAGCCCAATTTC CACTGTGTGCAGGAGCCCAATTTCGGGCACCGGC antisense ENST00000358752 CD15 1500 398 75.09 CDS 0.290254167 0.382198953 -TGTGTGCAGGAGCCCAATTT CCACTGTGTGCAGGAGCCCAATTTCGGGCACCGG antisense ENST00000358752 CD15 1501 398 75.09 CDS 0.39299058 0.405759162 -TGTAGCGGGCCACTGTGTGC AACTTGTAGCGGGCCACTGTGTGCAGGAGCCCAA antisense ENST00000358752 CD15 1514 402 75.85 CDS 1.353495354 0.861256545 -AATTGGGCTCCTGCACACAG CCGAAATTGGGCTCCTGCACACAGTGGCCCGCTA sense ENST00000358752 CD15 1516 403 76.04 CDS 1.342027887 0.85078534 -AGCCAGGTAGAACTTGTAGC CGAAAGCCAGGTAGAACTTGTAGCGGGCCACTGT antisense ENST00000358752 CD15 1528 407 76.79 CDS 0.838498822 0.523560209 -AAGCCAGGTAGAACTTGTAG TCGAAAGCCAGGTAGAACTTGTAGCGGGCCACTG antisense ENST00000358752 CD15 1529 407 76.79 CDS 1.2558827 0.777486911 -GGCCCGCTACAAGTTCTACC CAGTGGCCCGCTACAAGTTCTACCTGGCTTTCGA sense ENST00000358752 CD15 1537 410 77.36 CDS 1.074730392 0.617801047 -GCTGCGAGTTCTCGAAAGCC AGGTGCTGCGAGTTCTCGAAAGCCAGGTAGAACT antisense ENST00000358752 CD15 1544 412 77.74 CDS 0.966691496 0.565445026 -TTTCGAGAACTCGCAGCACC TGGCTTTCGAGAACTCGCAGCACCTGGATTATAT sense ENST00000358752 CD15 1561 418 78.87 CDS 0.176730679 0.369109948 -GCTTCTCGGTGATATAATCC CAGAGCTTCTCGGTGATATAATCCAGGTGCTGCG antisense ENST00000358752 CD15 1568 420 79.25 CDS 1.260073295 0.782722513 -CGCGTTGCGCCAGAGCTTCT GCAACGCGTTGCGCCAGAGCTTCTCGGTGATATA antisense ENST00000358752 CD15 1582 425 80.19 CDS -0.411423999 0.238219895 -TGGCGCAACGCGTTGCTCGC GCTCTGGCGCAACGCGTTGCTCGCTGGGGCGGTG sense ENST00000358752 CD15 1604 432 81.51 CDS -0.644203179 0.136125654 -GGCGCAACGCGTTGCTCGCT CTCTGGCGCAACGCGTTGCTCGCTGGGGCGGTGC sense ENST00000358752 CD15 1605 433 81.7 CDS -0.674094792 0.130890052 -GCGCAACGCGTTGCTCGCTG TCTGGCGCAACGCGTTGCTCGCTGGGGCGGTGCC sense ENST00000358752 CD15 1606 433 81.7 CDS -0.057428156 0.327225131 -CAACGCGTTGCTCGCTGGGG GGCGCAACGCGTTGCTCGCTGGGGCGGTGCCGGT sense ENST00000358752 CD15 1609 434 81.89 CDS 1.131845013 0.654450262 -GTTGCTCGCTGGGGCGGTGC ACGCGTTGCTCGCTGGGGCGGTGCCGGTGGTGCT sense ENST00000358752 CD15 1615 436 82.26 CDS 1.26907216 0.790575916 -GCTCGCTGGGGCGGTGCCGG CGTTGCTCGCTGGGGCGGTGCCGGTGGTGCTGGG sense ENST00000358752 CD15 1618 437 82.45 CDS 0.497037512 0.42408377 -CGGTCTGGGCCCAGCACCAC GGCACGGTCTGGGCCCAGCACCACCGGCACCGCC antisense ENST00000358752 CD15 1623 439 82.83 CDS 1.333172524 0.848167539 -TGGGGCGGTGCCGGTGGTGC TCGCTGGGGCGGTGCCGGTGGTGCTGGGCCCAGA sense ENST00000358752 CD15 1624 439 82.83 CDS 0.550046808 0.439790576 -GGGGCGGTGCCGGTGGTGCT CGCTGGGGCGGTGCCGGTGGTGCTGGGCCCAGAC sense ENST00000358752 CD15 1625 439 82.83 CDS 0.697266089 0.479057592 -GCTCGTAGTTGGCACGGTCT AAGCGCTCGTAGTTGGCACGGTCTGGGCCCAGCA antisense ENST00000358752 CD15 1637 443 83.58 CDS 1.065073115 0.609947644 -CGCTCGTAGTTGGCACGGTC AAAGCGCTCGTAGTTGGCACGGTCTGGGCCCAGC antisense ENST00000358752 CD15 1638 444 83.77 CDS -0.732746782 0.09947644 -CAAAGCGCTCGTAGTTGGCA GGCACAAAGCGCTCGTAGTTGGCACGGTCTGGGC antisense ENST00000358752 CD15 1643 445 83.96 CDS 1.095321994 0.636125654 -GGGCACAAAGCGCTCGTAGT CGCGGGGCACAAAGCGCTCGTAGTTGGCACGGTC antisense ENST00000358752 CD15 1648 447 84.34 CDS 1.272548317 0.793193717 -TACGAGCGCTTTGTGCCCCG CAACTACGAGCGCTTTGTGCCCCGCGGCGCCTTC sense ENST00000358752 CD15 1664 452 85.28 CDS 1.481420265 0.971204188 -ACGTGGATGAAGGCGCCGCG GTCCACGTGGATGAAGGCGCCGCGGGGCACAAAG antisense ENST00000358752 CD15 1668 454 85.66 CDS 1.543417001 0.997382199 -CACGTGGATGAAGGCGCCGC CGTCCACGTGGATGAAGGCGCCGCGGGGCACAAA antisense ENST00000358752 CD15 1669 454 85.66 CDS 1.294822432 0.819371728 -CCACGTGGATGAAGGCGCCG TCGTCCACGTGGATGAAGGCGCCGCGGGGCACAA antisense ENST00000358752 CD15 1670 454 85.66 CDS 1.478497047 0.968586387 -GAAGTCGTCCACGTGGATGA TTGGGAAGTCGTCCACGTGGATGAAGGCGCCGCG antisense ENST00000358752 CD15 1678 457 86.23 CDS 0.48926226 0.421465969 -CCGCGGCGCCTTCATCCACG TGCCCCGCGGCGCCTTCATCCACGTGGACGACTT sense ENST00000358752 CD15 1681 458 86.42 CDS 1.297634296 0.821989529 -CACTTGGGAAGTCGTCCACG GAGGCACTTGGGAAGTCGTCCACGTGGATGAAGG antisense ENST00000358752 CD15 1685 459 86.6 CDS 1.468849423 0.963350785 -AGGCCAGGGAGGAGGCACTT TACGAGGCCAGGGAGGAGGCACTTGGGAAGTCGT antisense ENST00000358752 CD15 1700 464 87.55 CDS 1.211401578 0.722513089 -GAGGCCAGGGAGGAGGCACT GTACGAGGCCAGGGAGGAGGCACTTGGGAAGTCG antisense ENST00000358752 CD15 1701 465 87.74 CDS 0.540147134 0.437172775 -CAGGTACGAGGCCAGGGAGG AAAGCAGGTACGAGGCCAGGGAGGAGGCACTTGG antisense ENST00000358752 CD15 1708 467 88.11 CDS 0.948140364 0.562827225 -CTTCCCAAGTGCCTCCTCCC ACGACTTCCCAAGTGCCTCCTCCCTGGCCTCGTA sense ENST00000358752 CD15 1708 467 88.11 CDS 1.404663065 0.913612565 -AAGCAGGTACGAGGCCAGGG GGAAAAGCAGGTACGAGGCCAGGGAGGAGGCACT antisense ENST00000358752 CD15 1711 468 88.3 CDS 1.206112812 0.712041885 -GAAAAGCAGGTACGAGGCCA CGAGGAAAAGCAGGTACGAGGCCAGGGAGGAGGC antisense ENST00000358752 CD15 1714 469 88.49 CDS 0.769879883 0.507853403 -GGAAAAGCAGGTACGAGGCC TCGAGGAAAAGCAGGTACGAGGCCAGGGAGGAGG antisense ENST00000358752 CD15 1715 469 88.49 CDS 0.368381073 0.395287958 -GTCGAGGAAAAGCAGGTACG TGCGGTCGAGGAAAAGCAGGTACGAGGCCAGGGA antisense ENST00000358752 CD15 1720 471 88.87 CDS 1.39831411 0.908376963 -GGTTGCGGTCGAGGAAAAGC GCGGGGTTGCGGTCGAGGAAAAGCAGGTACGAGG antisense ENST00000358752 CD15 1727 473 89.25 CDS 1.369672136 0.871727749 -AGACCGCGGGGTTGCGGTCG CGATAGACCGCGGGGTTGCGGTCGAGGAAAAGCA antisense ENST00000358752 CD15 1736 476 89.81 CDS -0.772296123 0.07591623 -GGCGATAGACCGCGGGGTTG TAGCGGCGATAGACCGCGGGGTTGCGGTCGAGGA antisense ENST00000358752 CD15 1742 478 90.19 CDS 1.211400717 0.719895288 -TTTCCTCGACCGCAACCCCG TGCTTTTCCTCGACCGCAACCCCGCGGTCTATCG sense ENST00000358752 CD15 1744 479 90.38 CDS 1.175761022 0.691099476 -AGTAGCGGCGATAGACCGCG TGGAAGTAGCGGCGATAGACCGCGGGGTTGCGGT antisense ENST00000358752 CD15 1748 480 90.57 CDS 1.294228764 0.816753927 -AAGTAGCGGCGATAGACCGC GTGGAAGTAGCGGCGATAGACCGCGGGGTTGCGG antisense ENST00000358752 CD15 1749 481 90.75 CDS 1.173246509 0.688481675 -GAAGTAGCGGCGATAGACCG AGTGGAAGTAGCGGCGATAGACCGCGGGGTTGCG antisense ENST00000358752 CD15 1750 481 90.75 CDS 1.201619184 0.704188482 -TCCGGCGCCAGTGGAAGTAG TAGCTCCGGCGCCAGTGGAAGTAGCGGCGATAGA antisense ENST00000358752 CD15 1763 485 91.51 CDS 1.471890832 0.965968586 -TCTATCGCCGCTACTTCCAC GCGGTCTATCGCCGCTACTTCCACTGGCGCCGGA sense ENST00000358752 CD15 1767 487 91.89 CDS 1.21745234 0.732984293 -CAGCGTAGCTCCGGCGCCAG TGGACAGCGTAGCTCCGGCGCCAGTGGAAGTAGC antisense ENST00000358752 CD15 1772 488 92.08 CDS 0.658612634 0.468586387 -GCCGCTACTTCCACTGGCGC TATCGCCGCTACTTCCACTGGCGCCGGAGCTACG sense ENST00000358752 CD15 1773 489 92.26 CDS 1.41772588 0.918848168 -TGATGTGGACAGCGTAGCTC GAGGTGATGTGGACAGCGTAGCTCCGGCGCCAGT antisense ENST00000358752 CD15 1781 491 92.64 CDS 1.446123223 0.939790576 -CGTCCCAGAAGGAGGTGATG GGCTCGTCCCAGAAGGAGGTGATGTGGACAGCGT antisense ENST00000358752 CD15 1796 496 93.58 CDS 1.244730242 0.769633508 -CTGTCCACATCACCTCCTTC TACGCTGTCCACATCACCTCCTTCTGGGACGAGC sense ENST00000358752 CD15 1803 499 94.15 CDS 0.906000437 0.544502618 -TGTCCACATCACCTCCTTCT ACGCTGTCCACATCACCTCCTTCTGGGACGAGCC sense ENST00000358752 CD15 1804 499 94.15 CDS 1.34530462 0.856020942 -CCAAGGCTCGTCCCAGAAGG GGCACCAAGGCTCGTCCCAGAAGGAGGTGATGTG antisense ENST00000358752 CD15 1804 499 94.15 CDS 1.524784921 0.989528796 -CCTCCTTCTGGGACGAGCCT ATCACCTCCTTCTGGGACGAGCCTTGGTGCCGGG sense ENST00000358752 CD15 1815 503 94.91 CDS -0.855112079 0.044502618 -GCAGCCAATCCTGTGACAGA CACTGCAGCCAATCCTGTGACAGACGGACCTGCA sense ENSMUST00000049931 CD43 914 133 33.67 CDS 4.801063684 0.997641509 -GCAGCCAATCCTGTGACAGA ACCTGCAGCCAATCCTGTGACAGACGGAACTGCA sense ENSMUST00000049931 CD43 941 142 35.95 CDS 4.801063684 0.997641509 -GCACCTTCTCCTCCTCTTTG CCTTGCACCTTCTCCTCCTCTTTGGGGCATGCTG sense ENSMUST00000049931 CD43 541 9 2.28 CDS 4.450716616 0.886792453 -CGAGACCAGTGGACCCTCTG CTAACGAGACCAGTGGACCCTCTGTGGCTACAAC sense ENSMUST00000049931 CD43 1033 173 43.8 CDS 4.176278805 0.768867925 -TGGGGCATGCTGGGTCCAGG TCTTTGGGGCATGCTGGGTCCAGGTGGCGAGCCC sense ENSMUST00000049931 CD43 559 15 3.8 CDS 4.707634354 0.990566038 -CCACAGCTACTGGGTCTCTG GTCACCACAGCTACTGGGTCTCTGGGGCCCTCGA sense ENSMUST00000049931 CD43 1095 194 49.11 CDS 4.443204558 0.877358491 -GGGCCCTCGAGTGAGATGCA TCTGGGGCCCTCGAGTGAGATGCATGGACTCCCT sense ENSMUST00000049931 CD43 1115 200 50.63 CDS 4.627832137 0.966981132 -ACAAGCTCTAACGAGACCAG GACAACAAGCTCTAACGAGACCAGTGGACCCTCT sense ENSMUST00000049931 CD43 1022 169 42.78 CDS 4.272628392 0.811320755 -TGTGGCGCCAGAGGCAAAAG CTGTTGTGGCGCCAGAGGCAAAAGCGGAGGACTG sense ENSMUST00000049931 CD43 1341 276 69.87 CDS 4.199257775 0.787735849 -ACCTGAGCCTACTGCCTCTC CTGTACCTGAGCCTACTGCCTCTCAGGAAGTTTC sense ENSMUST00000049931 CD43 823 103 26.08 CDS 4.095003901 0.721698113 -CCAGCCCATCAGTTTCTGTG AATGCCAGCCCATCAGTTTCTGTGGGGTCAGGGA sense ENSMUST00000049931 CD43 666 51 12.91 CDS 4.434944086 0.872641509 -AGGAGACCATCAGCCCCTGG TCGAAGGAGACCATCAGCCCCTGGGGGCAGACCA sense ENSMUST00000049931 CD43 708 65 16.46 CDS 4.184036967 0.778301887 -ACCACAGCTACTGGGTCTCT TGTCACCACAGCTACTGGGTCTCTGGGGCCCTCG sense ENSMUST00000049931 CD43 1094 193 48.86 CDS 3.998792134 0.66509434 -GAAGGAGACCATCAGCCCCT ACTCGAAGGAGACCATCAGCCCCTGGGGGCAGAC sense ENSMUST00000049931 CD43 706 64 16.2 CDS 3.877193761 0.622641509 -TTCTGTGGAGAGTTCCAGTG CCAGTTCTGTGGAGAGTTCCAGTGTGGCCCGTGG sense ENSMUST00000049931 CD43 1162 216 54.68 CDS 4.289586119 0.825471698 -CGGAGGAGGAAAACGAAATG TGAGCGGAGGAGGAAAACGAAATGGGGTGGTGGA sense ENSMUST00000049931 CD43 1387 291 73.67 CDS 3.831193718 0.608490566 -CGAGCCCAGACAGTCTGCAG GTGGCGAGCCCAGACAGTCTGCAGAGGACGACGA sense ENSMUST00000049931 CD43 582 23 5.82 CDS 4.243056724 0.801886792 -CCCAAGATCCCATAACCACC TCTACCCAAGATCCCATAACCACCAGGTCACCAA sense ENSMUST00000049931 CD43 1230 239 60.51 CDS 4.504320311 0.91509434 -GCCCATGCTTATTGCCTTGG TGGTGCCCATGCTTATTGCCTTGGTGGTGGTTTT sense ENSMUST00000049931 CD43 1288 258 65.32 CDS 3.344135116 0.433962264 -TACTGCTGTTGTGGCGCCAG GCGCTACTGCTGTTGTGGCGCCAGAGGCAAAAGC sense ENSMUST00000049931 CD43 1332 273 69.11 CDS 3.791638412 0.599056604 -TACCACAGCAACCAGTTCTG CTGCTACCACAGCAACCAGTTCTGTGGAGAGTTC sense ENSMUST00000049931 CD43 1147 211 53.42 CDS 4.054603617 0.693396226 -ACTGGGGCCCTGACCCTGAG GAGGACTGGGGCCCTGACCCTGAGCGGAGGAGGA sense ENSMUST00000049931 CD43 1367 284 71.9 CDS 3.786166823 0.594339623 -GCCCTGACCCTGAGCGGAGG TGGGGCCCTGACCCTGAGCGGAGGAGGAAAACGA sense ENSMUST00000049931 CD43 1373 286 72.41 CDS 3.322309685 0.419811321 -TGCCAGCCCATCAGTTTCTG AGAATGCCAGCCCATCAGTTTCTGTGGGGTCAGG sense ENSMUST00000049931 CD43 664 50 12.66 CDS 3.940399289 0.636792453 -TCGTGGCGCTACTGCTGTTG GCCCTCGTGGCGCTACTGCTGTTGTGGCGCCAGA sense ENSMUST00000049931 CD43 1323 270 68.35 CDS 4.038102151 0.688679245 -AGAGGCAAAAGCGGAGGACT CGCCAGAGGCAAAAGCGGAGGACTGGGGCCCTGA sense ENSMUST00000049931 CD43 1350 279 70.63 CDS 4.304154031 0.830188679 -GAGAGTTCCAGTGTGGCCCG TGTGGAGAGTTCCAGTGTGGCCCGTGGCACCTCA sense ENSMUST00000049931 CD43 1169 218 55.19 CDS 4.18228481 0.773584906 -ACAGTAAGCTCCAAGACCAG TACAACAGTAAGCTCCAAGACCAGTGGTCCCCCT sense ENSMUST00000049931 CD43 1061 182 46.08 CDS 4.155181717 0.745283019 -AAGGAGACCATCAGCCCCTG CTCGAAGGAGACCATCAGCCCCTGGGGGCAGACC sense ENSMUST00000049931 CD43 707 64 16.2 CDS 4.087911772 0.70754717 -TTGCACCTTCTCCTCCTCTT GGCCTTGCACCTTCTCCTCCTCTTTGGGGCATGC sense ENSMUST00000049931 CD43 539 8 2.03 CDS 2.90487108 0.358490566 -TCAGGGGCAGGGGGCAACAA CACATCAGGGGCAGGGGGCAACAAGGGCTCTGAG sense ENSMUST00000049931 CD43 1466 317 80.25 CDS 2.896990394 0.353773585 -TCACCAAGCCAAGAATCAAG CAGGTCACCAAGCCAAGAATCAAGTGGCATGTTA sense ENSMUST00000049931 CD43 1253 246 62.28 CDS 4.420003425 0.863207547 -GGCGCCAGAGGCAAAAGCGG TTGTGGCGCCAGAGGCAAAAGCGGAGGACTGGGG sense ENSMUST00000049931 CD43 1344 277 70.13 CDS 3.735848841 0.570754717 -CATGCTTATTGCCTTGGTGG TGCCCATGCTTATTGCCTTGGTGGTGGTTTTGGC sense ENSMUST00000049931 CD43 1291 259 65.57 CDS 3.977701912 0.655660377 -TCTTCTTTGGAGACTTCTGC ATTGTCTTCTTTGGAGACTTCTGCTGGTGCCAGC sense ENSMUST00000049931 CD43 779 88 22.28 CDS 4.355743679 0.839622642 -TGCACCTTCTCCTCCTCTTT GCCTTGCACCTTCTCCTCCTCTTTGGGGCATGCT sense ENSMUST00000049931 CD43 540 9 2.28 CDS 2.778603526 0.306603774 -CAGAGGCAAAAGCGGAGGAC GCGCCAGAGGCAAAAGCGGAGGACTGGGGCCCTG sense ENSMUST00000049931 CD43 1349 278 70.38 CDS 3.375909624 0.448113208 -GTCAGGGACAGTGGACTCGA TGGGGTCAGGGACAGTGGACTCGAAGGAGACCAT sense ENSMUST00000049931 CD43 688 58 14.68 CDS 4.220184804 0.79245283 -GCATCTACATCTATCTCTAA TGCAGCATCTACATCTATCTCTAAAGGAACCAGT sense ENSMUST00000049931 CD43 971 152 38.48 CDS 4.175950246 0.759433962 -GCCACAACCACATCAGGGGC AGAGGCCACAACCACATCAGGGGCAGGGGGCAAC sense ENSMUST00000049931 CD43 1454 313 79.24 CDS 2.601867689 0.273584906 -CCCCTGTCACCACAGCTACT GGTCCCCCTGTCACCACAGCTACTGGGTCTCTGG sense ENSMUST00000049931 CD43 1086 191 48.35 CDS 3.482276801 0.466981132 -AGAATCAAGTGGCATGTTAC GCCAAGAATCAAGTGGCATGTTACTGGTGCCCAT sense ENSMUST00000049931 CD43 1264 250 63.29 CDS 3.499870535 0.481132075 -GGGGCCCTGACCCTGAGCGG GACTGGGGCCCTGACCCTGAGCGGAGGAGGAAAA sense ENSMUST00000049931 CD43 1370 285 72.15 CDS 3.504195988 0.485849057 -TCCTCCTCTTTGGGGCATGC CTTCTCCTCCTCTTTGGGGCATGCTGGGTCCAGG sense ENSMUST00000049931 CD43 549 12 3.04 CDS 3.866123205 0.617924528 -AAGAGGCCACAACCACATCA GATGAAGAGGCCACAACCACATCAGGGGCAGGGG sense ENSMUST00000049931 CD43 1449 312 78.99 CDS 2.871329516 0.344339623 -CCCCCTGTCACCACAGCTAC TGGTCCCCCTGTCACCACAGCTACTGGGTCTCTG sense ENSMUST00000049931 CD43 1085 190 48.1 CDS 3.334945386 0.429245283 -GCGGAGGAGGAAAACGAAAT CTGAGCGGAGGAGGAAAACGAAATGGGGTGGTGG sense ENSMUST00000049931 CD43 1386 291 73.67 CDS 3.571219921 0.5 -CCACAACCACATCAGGGGCA GAGGCCACAACCACATCAGGGGCAGGGGGCAACA sense ENSMUST00000049931 CD43 1455 314 79.49 CDS 2.633780358 0.278301887 -GGTGCCCATGCTTATTGCCT TACTGGTGCCCATGCTTATTGCCTTGGTGGTGGT sense ENSMUST00000049931 CD43 1285 257 65.06 CDS 3.669857733 0.528301887 -CACCACAGCTACTGGGTCTC CTGTCACCACAGCTACTGGGTCTCTGGGGCCCTC sense ENSMUST00000049931 CD43 1093 193 48.86 CDS 3.118055908 0.396226415 -AGGAAAACGAAATGGGGTGG GAGGAGGAAAACGAAATGGGGTGGTGGATGCCTG sense ENSMUST00000049931 CD43 1393 293 74.18 CDS 3.078558561 0.386792453 -CTTTGGGGCATGCTGGGTCC TCCTCTTTGGGGCATGCTGGGTCCAGGTGGCGAG sense ENSMUST00000049931 CD43 556 14 3.54 CDS 3.07769467 0.382075472 -AGCAGACGGAAGTCTCGCCA CTTCAGCAGACGGAAGTCTCGCCAGGGCTCTTTA sense ENSMUST00000049931 CD43 1547 344 87.09 CDS 2.791844356 0.316037736 -CGAAGGAGACCATCAGCCCC GACTCGAAGGAGACCATCAGCCCCTGGGGGCAGA sense ENSMUST00000049931 CD43 705 64 16.2 CDS 3.682017599 0.547169811 -AGCCCGGGTTCCTGATGAAG GGCCAGCCCGGGTTCCTGATGAAGAGGCCACAAC sense ENSMUST00000049931 CD43 1432 306 77.47 CDS 3.373010854 0.438679245 -TGGGTCGGGTCCCAACCTGA AGCCTGGGTCGGGTCCCAACCTGAAGGGGGAGGA sense ENSMUST00000049931 CD43 1597 361 91.39 CDS 2.261456365 0.235849057 -AGGAGGAAAACGAAATGGGG GCGGAGGAGGAAAACGAAATGGGGTGGTGGATGC sense ENSMUST00000049931 CD43 1390 292 73.92 CDS 3.691723576 0.551886792 -CCCAGTTTCTTTGACCCCCT CAATCCCAGTTTCTTTGACCCCCTTGGAAACTAC sense ENSMUST00000049931 CD43 742 76 19.24 CDS 3.05680776 0.377358491 -TCTGAGGTACTGGAGACAGA GGGCTCTGAGGTACTGGAGACAGAAGGCTCCGGG sense ENSMUST00000049931 CD43 1490 325 82.28 CDS 2.852866725 0.33490566 -TCACTACGTTCTTCAGCAGA ACGCTCACTACGTTCTTCAGCAGACGGAAGTCTC sense ENSMUST00000049931 CD43 1533 340 86.08 CDS 2.203514578 0.226415094 -GAGGCAAAAGCGGAGGACTG GCCAGAGGCAAAAGCGGAGGACTGGGGCCCTGAC sense ENSMUST00000049931 CD43 1351 279 70.63 CDS 3.611894198 0.518867925 -GTCGGGTCCCAACCTGAAGG CTGGGTCGGGTCCCAACCTGAAGGGGGAGGAAGA sense ENSMUST00000049931 CD43 1600 362 91.65 CDS 2.863298922 0.339622642 -AGGGGGCAACAAGGGCTCTG GGGCAGGGGGCAACAAGGGCTCTGAGGTACTGGA sense ENSMUST00000049931 CD43 1474 320 81.01 CDS 2.724597331 0.297169811 -CATCAGTTTCTGTGGGGTCA AGCCCATCAGTTTCTGTGGGGTCAGGGACAGTGG sense ENSMUST00000049931 CD43 672 53 13.42 CDS 3.457127754 0.462264151 -GGGTCCCAACCTGAAGGGGG GGTCGGGTCCCAACCTGAAGGGGGAGGAAGAGCC sense ENSMUST00000049931 CD43 1603 363 91.9 CDS 2.586117281 0.268867925 -CAACAAGGGCTCTGAGGTAC GGGGCAACAAGGGCTCTGAGGTACTGGAGACAGA sense ENSMUST00000049931 CD43 1480 322 81.52 CDS 2.663418282 0.287735849 -GAAGAGGCCACAACCACATC TGATGAAGAGGCCACAACCACATCAGGGGCAGGG sense ENSMUST00000049931 CD43 1448 311 78.73 CDS 2.328134502 0.240566038 -AGAGGCCACAACCACATCAG ATGAAGAGGCCACAACCACATCAGGGGCAGGGGG sense ENSMUST00000049931 CD43 1450 312 78.99 CDS 2.840820138 0.330188679 -ACAACCACATCAGGGGCAGG GGCCACAACCACATCAGGGGCAGGGGGCAACAAG sense ENSMUST00000049931 CD43 1457 314 79.49 CDS 2.435633282 0.264150943 -CCATCAGTTTCTGTGGGGTC CAGCCCATCAGTTTCTGTGGGGTCAGGGACAGTG sense ENSMUST00000049931 CD43 671 52 13.16 CDS 3.016120227 0.367924528 -AACTACTGAATTGTCTTCTT TGGAAACTACTGAATTGTCTTCTTTGGAGACTTC sense ENSMUST00000049931 CD43 766 84 21.27 CDS 1.286487688 0.141509434 -CACAACCACATCAGGGGCAG AGGCCACAACCACATCAGGGGCAGGGGGCAACAA sense ENSMUST00000049931 CD43 1456 314 79.49 CDS 1.926994147 0.202830189 -ATCAGGGGCAGGGGGCAACA CCACATCAGGGGCAGGGGGCAACAAGGGCTCTGA sense ENSMUST00000049931 CD43 1465 317 80.25 CDS 2.094092838 0.212264151 -GGTCGGGTCCCAACCTGAAG CCTGGGTCGGGTCCCAACCTGAAGGGGGAGGAAG sense ENSMUST00000049931 CD43 1599 362 91.65 CDS 2.643108441 0.283018868 -TTCTGTGGGGTCAGGGACAG CAGTTTCTGTGGGGTCAGGGACAGTGGACTCGAA sense ENSMUST00000049931 CD43 679 55 13.92 CDS 3.12119639 0.400943396 -GGGTCGGGTCCCAACCTGAA GCCTGGGTCGGGTCCCAACCTGAAGGGGGAGGAA sense ENSMUST00000049931 CD43 1598 361 91.39 CDS 1.387477113 0.160377358 -CAGCAGACGGAAGTCTCGCC TCTTCAGCAGACGGAAGTCTCGCCAGGGCTCTTT sense ENSMUST00000049931 CD43 1546 344 87.09 CDS 1.145012684 0.127358491 -CGGTCCACAAGCCAAAGATG CTGACGGTCCACAAGCCAAAGATGAGGCCGCACC sense ENSMUST00000049931 CD43 1678 388 98.23 CDS 1.878789087 0.198113208 -AGAGCCGCTTGTGGGCAGTG AGGAAGAGCCGCTTGTGGGCAGTGAGGATGAAGC sense ENSMUST00000049931 CD43 1627 371 93.92 CDS 0.688421911 0.103773585 -GTACTGGAGACAGAAGGCTC TGAGGTACTGGAGACAGAAGGCTCCGGGCAGAGA sense ENSMUST00000049931 CD43 1496 327 82.78 CDS 2.246228921 0.231132075 -GGGTGGTGGATGCCTGGGCT AATGGGGTGGTGGATGCCTGGGCTGGGCCAGCCC sense ENSMUST00000049931 CD43 1407 298 75.44 CDS 0.558995711 0.080188679 -TATTGCCTTGGTGGTGGTTT TGCTTATTGCCTTGGTGGTGGTTTTGGCCCTCGT sense ENSMUST00000049931 CD43 1297 261 66.08 CDS 1.091063036 0.122641509 -AGCGGAGGAGGAAAACGAAA CCTGAGCGGAGGAGGAAAACGAAATGGGGTGGTG sense ENSMUST00000049931 CD43 1385 290 73.42 CDS 3.10183001 0.391509434 -CCTCCTCTTTGGGGCATGCT TTCTCCTCCTCTTTGGGGCATGCTGGGTCCAGGT sense ENSMUST00000049931 CD43 550 12 3.04 CDS 0.578551095 0.089622642 -TACTGGAGACAGAAGGCTCC GAGGTACTGGAGACAGAAGGCTCCGGGCAGAGAC sense ENSMUST00000049931 CD43 1497 328 83.04 CDS 2.994376546 0.363207547 -TGCCTGGGCTGGGCCAGCCC TGGATGCCTGGGCTGGGCCAGCCCGGGTTCCTGA sense ENSMUST00000049931 CD43 1417 301 76.2 CDS 1.729045166 0.193396226 -GGGGTGGTGGATGCCTGGGC AAATGGGGTGGTGGATGCCTGGGCTGGGCCAGCC sense ENSMUST00000049931 CD43 1406 297 75.19 CDS 1.199600321 0.132075472 -GAAGAGCTGAAGCCTGGGTC ACTAGAAGAGCTGAAGCCTGGGTCGGGTCCCAAC sense ENSMUST00000049931 CD43 1583 356 90.13 CDS 1.626944734 0.179245283 -AGAAGAGCTGAAGCCTGGGT TACTAGAAGAGCTGAAGCCTGGGTCGGGTCCCAA sense ENSMUST00000049931 CD43 1582 356 90.13 CDS 2.133499003 0.221698113 -AAATGGGGTGGTGGATGCCT AACGAAATGGGGTGGTGGATGCCTGGGCTGGGCC sense ENSMUST00000049931 CD43 1402 296 74.94 CDS 1.310208562 0.146226415 -GGGCAGTGAGGATGAAGCTG TTGTGGGCAGTGAGGATGAAGCTGTGGAAACCCC sense ENSMUST00000049931 CD43 1639 375 94.94 CDS 1.489014908 0.16509434 -GGGGGAGGAAGAGCCGCTTG TGAAGGGGGAGGAAGAGCCGCTTGTGGGCAGTGA sense ENSMUST00000049931 CD43 1618 368 93.16 CDS 0.93801453 0.117924528 -GTACTAGAAGAGCTGAAGCC TTTAGTACTAGAAGAGCTGAAGCCTGGGTCGGGT sense ENSMUST00000049931 CD43 1577 354 89.62 CDS -1.972620259 0.009433962 -ATGCCTGGGCTGGGCCAGCC GTGGATGCCTGGGCTGGGCCAGCCCGGGTTCCTG sense ENSMUST00000049931 CD43 1416 301 76.2 CDS -0.958932482 0.023584906 -TACTAGAAGAGCTGAAGCCT TTAGTACTAGAAGAGCTGAAGCCTGGGTCGGGTC sense ENSMUST00000049931 CD43 1578 355 89.87 CDS 0.572806603 0.08490566 -GCCAGCCCATCAGTTTCTGT GAATGCCAGCCCATCAGTTTCTGTGGGGTCAGGG sense ENSMUST00000049931 CD43 665 50 12.66 CDS 0.327831903 0.075471698 -GTGGAAACCCCAACTTCTGA AGCTGTGGAAACCCCAACTTCTGACGGTCCACAA sense ENSMUST00000049931 CD43 1658 381 96.46 CDS 0.296866516 0.070754717 -GGGGAGGAAGAGCCGCTTGT GAAGGGGGAGGAAGAGCCGCTTGTGGGCAGTGAG sense ENSMUST00000049931 CD43 1619 368 93.16 CDS 0.132292214 0.04245283 -GAAATGGGGTGGTGGATGCC AAACGAAATGGGGTGGTGGATGCCTGGGCTGGGC sense ENSMUST00000049931 CD43 1401 296 74.94 CDS -3.887670662 0.004716981 -ACAACAGCAGTAGCGCCACG CGCCACAACAGCAGTAGCGCCACGAGGGCCAAAA antisense ENSMUST00000049931 CD43 1310 265 67.09 CDS 4.628689234 0.971698113 -GTACTTGGAGCTGTGATATG AGAGGTACTTGGAGCTGTGATATGTGGGGTAGAT antisense ENSMUST00000049931 CD43 615 34 8.61 CDS 4.666332556 0.981132075 -CCCAGTAGCTGTGGTGACAG GAGACCCAGTAGCTGTGGTGACAGGGGGACCACT antisense ENSMUST00000049931 CD43 1075 187 47.34 CDS 4.369614083 0.849056604 -TTCTTGGCTTGGTGACCTGG TTGATTCTTGGCTTGGTGACCTGGTGGTTATGGG antisense ENSMUST00000049931 CD43 1234 240 60.76 CDS 4.604746609 0.952830189 -CAACAGCAGTAGCGCCACGA GCCACAACAGCAGTAGCGCCACGAGGGCCAAAAC antisense ENSMUST00000049931 CD43 1309 265 67.09 CDS 4.122004765 0.735849057 -GATTGGCTGCAGTGACAGGA ACAGGATTGGCTGCAGTGACAGGAGGGTCACTGG antisense ENSMUST00000049931 CD43 890 125 31.65 CDS 4.599818611 0.948113208 -GGACCCAGCATGCCCCAAAG ACCTGGACCCAGCATGCCCCAAAGAGGAGGAGAA antisense ENSMUST00000049931 CD43 542 9 2.28 CDS 4.521565574 0.924528302 -TACTTGGAGCTGTGATATGT GAGGTACTTGGAGCTGTGATATGTGGGGTAGATG antisense ENSMUST00000049931 CD43 614 33 8.35 CDS 4.191198372 0.783018868 -GGGTCACTGGCTACATTTGA AGGAGGGTCACTGGCTACATTTGATGGTTCTGGA antisense ENSMUST00000049931 CD43 870 119 30.13 CDS 4.278238422 0.816037736 -GTTAGAGCTTGTTGTCACAG TCTCGTTAGAGCTTGTTGTCACAGTGGTGGGGGG antisense ENSMUST00000049931 CD43 1000 162 41.01 CDS 4.161602102 0.75 -AGGCAGTAGGCTCAGGTACA TGAGAGGCAGTAGGCTCAGGTACAGGGGTGCTCA antisense ENSMUST00000049931 CD43 806 97 24.56 CDS 3.758126522 0.575471698 -AGTTCCGTCTGTCACAGGAT CTGCAGTTCCGTCTGTCACAGGATTGGCTGCAGG antisense ENSMUST00000049931 CD43 934 140 35.44 CDS 4.550721771 0.933962264 -ACTTGGAGCTGTGATATGTG AGGTACTTGGAGCTGTGATATGTGGGGTAGATGG antisense ENSMUST00000049931 CD43 613 33 8.35 CDS 4.377514103 0.853773585 -AGGTCCGTCTGTCACAGGAT CTGCAGGTCCGTCTGTCACAGGATTGGCTGCAGT antisense ENSMUST00000049931 CD43 907 131 33.16 CDS 4.380675845 0.858490566 -ACAATTCAGTAGTTTCCAAG GAAGACAATTCAGTAGTTTCCAAGGGGGTCAAAG antisense ENSMUST00000049931 CD43 746 77 19.49 CDS 4.620418564 0.962264151 -GAGTCCATGCATCTCACTCG CAGGGAGTCCATGCATCTCACTCGAGGGCCCCAG antisense ENSMUST00000049931 CD43 1108 198 50.13 CDS 3.974781678 0.650943396 -CCCAGCATGCCCCAAAGAGG TGGACCCAGCATGCCCCAAAGAGGAGGAGAAGGT antisense ENSMUST00000049931 CD43 539 8 2.03 CDS 4.486946195 0.900943396 -GAGGGCCAAAACCACCACCA CCACGAGGGCCAAAACCACCACCAAGGCAATAAG antisense ENSMUST00000049931 CD43 1291 259 65.57 CDS 4.008747935 0.674528302 -GCTTACTGTTGTAGCCACAG TGGAGCTTACTGTTGTAGCCACAGAGGGTCCACT antisense ENSMUST00000049931 CD43 1036 174 44.05 CDS 4.233787317 0.797169811 -ACCACCAAGGCAATAAGCAT AACCACCACCAAGGCAATAAGCATGGGCACCAGT antisense ENSMUST00000049931 CD43 1278 255 64.56 CDS 4.243443715 0.806603774 -GACCCAGTAGCTGTGGTGAC CAGAGACCCAGTAGCTGTGGTGACAGGGGGACCA antisense ENSMUST00000049931 CD43 1077 188 47.59 CDS 3.677986453 0.537735849 -CTTGCTGGAAACTTCCTGAG ATGTCTTGCTGGAAACTTCCTGAGAGGCAGTAGG antisense ENSMUST00000049931 CD43 826 104 26.33 CDS 4.628771492 0.976415094 -GCTGGCATTCTGGGCTTCAG ATGGGCTGGCATTCTGGGCTTCAGAGGTACTTGG antisense ENSMUST00000049931 CD43 637 41 10.38 CDS 4.486875508 0.896226415 -GGATTGGCTGCAGTGACAGG CACAGGATTGGCTGCAGTGACAGGAGGGTCACTG antisense ENSMUST00000049931 CD43 891 126 31.9 CDS 4.093701194 0.716981132 -GGTCAAAGAAACTGGGATTG AGGGGGTCAAAGAAACTGGGATTGTGGTCTGCCC antisense ENSMUST00000049931 CD43 724 70 17.72 CDS 4.281419204 0.820754717 -CACCACCAAGGCAATAAGCA AAACCACCACCAAGGCAATAAGCATGGGCACCAG antisense ENSMUST00000049931 CD43 1279 255 64.56 CDS 4.368688135 0.844339623 -TGTAGCCACAGAGGGTCCAC CTGTTGTAGCCACAGAGGGTCCACTGGTCTCGTT antisense ENSMUST00000049931 CD43 1027 171 43.29 CDS 3.942169607 0.641509434 -TTCTGGGCTTCAGAGGTACT GGCATTCTGGGCTTCAGAGGTACTTGGAGCTGTG antisense ENSMUST00000049931 CD43 630 39 9.87 CDS 4.034327464 0.683962264 -GGTCTGCCCCCAGGGGCTGA TTGTGGTCTGCCCCCAGGGGCTGATGGTCTCCTT antisense ENSMUST00000049931 CD43 703 63 15.95 CDS 4.673187316 0.985849057 -GCTGCAGTTCCGTCTGTCAC AGATGCTGCAGTTCCGTCTGTCACAGGATTGGCT antisense ENSMUST00000049931 CD43 939 142 35.95 CDS 4.563725601 0.938679245 -GCTGCAGGTCCGTCTGTCAC ATTGGCTGCAGGTCCGTCTGTCACAGGATTGGCT antisense ENSMUST00000049931 CD43 912 133 33.67 CDS 4.609578017 0.95754717 -CTCCACAGAACTGGTTGCTG AACTCTCCACAGAACTGGTTGCTGTGGTAGCAGG antisense ENSMUST00000049931 CD43 1138 208 52.66 CDS 4.033538426 0.679245283 -CTTGTTGTCACAGTGGTGGG AGAGCTTGTTGTCACAGTGGTGGGGGGTGCACTG antisense ENSMUST00000049931 CD43 993 160 40.51 CDS 3.967668741 0.646226415 -ACAGGATTGGCTGCAGTGAC TGTCACAGGATTGGCTGCAGTGACAGGAGGGTCA antisense ENSMUST00000049931 CD43 894 127 32.15 CDS 3.712008169 0.566037736 -CAATTCAGTAGTTTCCAAGG AAGACAATTCAGTAGTTTCCAAGGGGGTCAAAGA antisense ENSMUST00000049931 CD43 745 77 19.49 CDS 4.430665426 0.867924528 -CTTACTGTTGTAGCCACAGA GGAGCTTACTGTTGTAGCCACAGAGGGTCCACTG antisense ENSMUST00000049931 CD43 1035 174 44.05 CDS 4.549332359 0.929245283 -ATGCCACTTGATTCTTGGCT TAACATGCCACTTGATTCTTGGCTTGGTGACCTG antisense ENSMUST00000049931 CD43 1245 244 61.77 CDS 3.420897173 0.45754717 -ATGCCCCAAAGAGGAGGAGA CAGCATGCCCCAAAGAGGAGGAGAAGGTGCAAGG antisense ENSMUST00000049931 CD43 533 6 1.52 CDS 4.174621416 0.754716981 -GGCAGTAGGCTCAGGTACAG GAGAGGCAGTAGGCTCAGGTACAGGGGTGCTCAT antisense ENSMUST00000049931 CD43 805 97 24.56 CDS 4.08426214 0.702830189 -TTCCTCCTCCGCTCAGGGTC CGTTTTCCTCCTCCGCTCAGGGTCAGGGCCCCAG antisense ENSMUST00000049931 CD43 1364 283 71.65 CDS 3.375938761 0.452830189 -GCTGTGATATGTGGGGTAGA TGGAGCTGTGATATGTGGGGTAGATGGTAGCATC antisense ENSMUST00000049931 CD43 606 31 7.85 CDS 4.469263111 0.891509434 -CCCCAGAGACCCAGTAGCTG AGGGCCCCAGAGACCCAGTAGCTGTGGTGACAGG antisense ENSMUST00000049931 CD43 1084 190 48.1 CDS 4.097903467 0.726415094 -AGACAATTCAGTAGTTTCCA AAGAAGACAATTCAGTAGTTTCCAAGGGGGTCAA antisense ENSMUST00000049931 CD43 748 78 19.75 CDS 4.445895181 0.882075472 -ACCTGGTGGTTATGGGATCT GGTGACCTGGTGGTTATGGGATCTTGGGTAGACG antisense ENSMUST00000049931 CD43 1220 235 59.49 CDS 3.25905813 0.41509434 -ACCCAGTAGCTGTGGTGACA AGAGACCCAGTAGCTGTGGTGACAGGGGGACCAC antisense ENSMUST00000049931 CD43 1076 187 47.34 CDS 4.147617615 0.740566038 -CCAGTAGCTGTGGTGACAGG AGACCCAGTAGCTGTGGTGACAGGGGGACCACTG antisense ENSMUST00000049931 CD43 1074 187 47.34 CDS 4.091764383 0.712264151 -TCTGTCACAGGATTGGCTGC TCCGTCTGTCACAGGATTGGCTGCAGGTCCGTCT antisense ENSMUST00000049931 CD43 927 138 34.94 CDS 3.65164287 0.523584906 -AAAGAGGAGGAGAAGGTGCA CCCCAAAGAGGAGGAGAAGGTGCAAGGCCATCTC antisense ENSMUST00000049931 CD43 526 4 1.01 CDS 4.175969506 0.764150943 -TGAGGTGCCACGGGCCACAC AAACTGAGGTGCCACGGGCCACACTGGAACTCTC antisense ENSMUST00000049931 CD43 1165 217 54.94 CDS 3.698010554 0.556603774 -AGAGCTTGTTGTCACAGTGG CGTTAGAGCTTGTTGTCACAGTGGTGGGGGGTGC antisense ENSMUST00000049931 CD43 997 161 40.76 CDS 3.703589087 0.561320755 -TCCTCCTCCGCTCAGGGTCA GTTTTCCTCCTCCGCTCAGGGTCAGGGCCCCAGT antisense ENSMUST00000049931 CD43 1363 283 71.65 CDS 3.185410694 0.405660377 -CCTGGTGGTTATGGGATCTT GTGACCTGGTGGTTATGGGATCTTGGGTAGACGT antisense ENSMUST00000049931 CD43 1219 235 59.49 CDS 3.776592803 0.589622642 -AGTCCATGCATCTCACTCGA AGGGAGTCCATGCATCTCACTCGAGGGCCCCAGA antisense ENSMUST00000049931 CD43 1107 198 50.13 CDS 4.00083989 0.669811321 -GCTGGAAACTGAGGTGCCAC TTCTGCTGGAAACTGAGGTGCCACGGGCCACACT antisense ENSMUST00000049931 CD43 1174 220 55.7 CDS 3.819547912 0.603773585 -TCGTCCTCTGCAGACTGTCT ATCGTCGTCCTCTGCAGACTGTCTGGGCTCGCCA antisense ENSMUST00000049931 CD43 575 20 5.06 CDS 4.11245375 0.731132075 -TGGGATTGTGGTCTGCCCCC AAACTGGGATTGTGGTCTGCCCCCAGGGGCTGAT antisense ENSMUST00000049931 CD43 712 66 16.71 CDS 4.353234187 0.83490566 -CTGGCTACATTTGATGGTTC GTCACTGGCTACATTTGATGGTTCTGGAAGCAGT antisense ENSMUST00000049931 CD43 864 117 29.62 CDS 3.567264544 0.495283019 -TGCAGTGACAGGAGGGTCAC TGGCTGCAGTGACAGGAGGGTCACTGGCTACATT antisense ENSMUST00000049931 CD43 883 123 31.14 CDS 3.670932919 0.533018868 -CCAAGGGGGTCAAAGAAACT GTTTCCAAGGGGGTCAAAGAAACTGGGATTGTGG antisense ENSMUST00000049931 CD43 731 72 18.23 CDS 3.488077878 0.476415094 -GACTGTCTGGGCTCGCCACC TGCAGACTGTCTGGGCTCGCCACCTGGACCCAGC antisense ENSMUST00000049931 CD43 563 16 4.05 CDS 3.935542778 0.627358491 -GGATTGTGGTCTGCCCCCAG ACTGGGATTGTGGTCTGCCCCCAGGGGCTGATGG antisense ENSMUST00000049931 CD43 710 65 16.46 CDS 3.764409051 0.580188679 -AGCTTGTTGTCACAGTGGTG TTAGAGCTTGTTGTCACAGTGGTGGGGGGTGCAC antisense ENSMUST00000049931 CD43 995 160 40.51 CDS 3.586214462 0.514150943 -GGCCTCTTCATCAGGAACCC TTGTGGCCTCTTCATCAGGAACCCGGGCTGGCCC antisense ENSMUST00000049931 CD43 1423 303 76.71 CDS 3.576888608 0.509433962 -CACAGTGGTGGGGGGTGCAC TTGTCACAGTGGTGGGGGGTGCACTGGTTCCTTT antisense ENSMUST00000049931 CD43 985 157 39.75 CDS 3.332249696 0.424528302 -CTGACCCCACAGAAACTGAT GTCCCTGACCCCACAGAAACTGATGGGCTGGCAT antisense ENSMUST00000049931 CD43 659 48 12.15 CDS 4.503405854 0.910377358 -CTGAAGAACGTAGTGAGCGT TCTGCTGAAGAACGTAGTGAGCGTGGGTCTCTGC antisense ENSMUST00000049931 CD43 1515 334 84.56 CDS 2.353010014 0.25 -CCTGACCCCACAGAAACTGA TGTCCCTGACCCCACAGAAACTGATGGGCTGGCA antisense ENSMUST00000049931 CD43 660 49 12.41 CDS 4.08329916 0.698113208 -GAAACTTCCTGAGAGGCAGT GCTGGAAACTTCCTGAGAGGCAGTAGGCTCAGGT antisense ENSMUST00000049931 CD43 819 102 25.82 CDS 4.518424636 0.919811321 -TCCTGAGAGGCAGTAGGCTC AACTTCCTGAGAGGCAGTAGGCTCAGGTACAGGG antisense ENSMUST00000049931 CD43 813 100 25.32 CDS 3.374934135 0.443396226 -AAGCAGTGCTGATGTCTTGC CTGGAAGCAGTGCTGATGTCTTGCTGGAAACTTC antisense ENSMUST00000049931 CD43 841 109 27.59 CDS 3.775250556 0.58490566 -GTAACATGCCACTTGATTCT ACCAGTAACATGCCACTTGATTCTTGGCTTGGTG antisense ENSMUST00000049931 CD43 1250 245 62.03 CDS 2.827344622 0.320754717 -GCTTGTTGTCACAGTGGTGG TAGAGCTTGTTGTCACAGTGGTGGGGGGTGCACT antisense ENSMUST00000049931 CD43 994 160 40.51 CDS 3.573360105 0.504716981 -AACTGGTTGCTGTGGTAGCA ACAGAACTGGTTGCTGTGGTAGCAGGGAGTCCAT antisense ENSMUST00000049931 CD43 1130 205 51.9 CDS 4.49228998 0.905660377 -GGGATCTTGGGTAGACGTCG TTATGGGATCTTGGGTAGACGTCGTGGATGTTTT antisense ENSMUST00000049931 CD43 1207 231 58.48 CDS 3.980612469 0.660377358 -AGGTACAGGGGTGCTCATGC GCTCAGGTACAGGGGTGCTCATGCTGGCACCAGC antisense ENSMUST00000049931 CD43 793 93 23.54 CDS 3.842314569 0.613207547 -GTTGCCCCCTGCCCCTGATG CCTTGTTGCCCCCTGCCCCTGATGTGGTTGTGGC antisense ENSMUST00000049931 CD43 1450 312 78.99 CDS 2.79081506 0.311320755 -GGGATTGTGGTCTGCCCCCA AACTGGGATTGTGGTCTGCCCCCAGGGGCTGATG antisense ENSMUST00000049931 CD43 711 66 16.71 CDS 2.875133749 0.349056604 -GCTTGGTGACCTGGTGGTTA CTTGGCTTGGTGACCTGGTGGTTATGGGATCTTG antisense ENSMUST00000049931 CD43 1228 238 60.25 CDS 2.336302156 0.245283019 -GACAATTCAGTAGTTTCCAA AGAAGACAATTCAGTAGTTTCCAAGGGGGTCAAA antisense ENSMUST00000049931 CD43 747 78 19.75 CDS 4.571251407 0.943396226 -ACTGGAACTCTCCACAGAAC CCACACTGGAACTCTCCACAGAACTGGTTGCTGT antisense ENSMUST00000049931 CD43 1147 211 53.42 CDS 3.93824213 0.632075472 -TGCTGGAAACTGAGGTGCCA TTTCTGCTGGAAACTGAGGTGCCACGGGCCACAC antisense ENSMUST00000049931 CD43 1175 220 55.7 CDS 2.405010716 0.254716981 -TCTTCATCAGGAACCCGGGC GGCCTCTTCATCAGGAACCCGGGCTGGCCCAGCC antisense ENSMUST00000049931 CD43 1419 302 76.46 CDS 2.83173172 0.325471698 -GAGGCAGTAGGCTCAGGTAC CTGAGAGGCAGTAGGCTCAGGTACAGGGGTGCTC antisense ENSMUST00000049931 CD43 807 98 24.81 CDS 3.23486405 0.410377358 -TGTGGTGACAGGGGGACCAC TAGCTGTGGTGACAGGGGGACCACTGGTCTTGGA antisense ENSMUST00000049931 CD43 1066 184 46.58 CDS 3.484966428 0.471698113 -CTTGGTGACCTGGTGGTTAT TTGGCTTGGTGACCTGGTGGTTATGGGATCTTGG antisense ENSMUST00000049931 CD43 1227 238 60.25 CDS 2.699406078 0.29245283 -TGATTCTTGGCTTGGTGACC CACTTGATTCTTGGCTTGGTGACCTGGTGGTTAT antisense ENSMUST00000049931 CD43 1237 241 61.01 CDS 3.681898081 0.54245283 -TGGCCTCTTCATCAGGAACC GTTGTGGCCTCTTCATCAGGAACCCGGGCTGGCC antisense ENSMUST00000049931 CD43 1424 303 76.71 CDS 3.054443149 0.372641509 -CCCCACAGAAACTGATGGGC CTGACCCCACAGAAACTGATGGGCTGGCATTCTG antisense ENSMUST00000049931 CD43 655 47 11.9 CDS 2.409275368 0.259433962 -CCCTGCCCCTGATGTGGTTG TGCCCCCTGCCCCTGATGTGGTTGTGGCCTCTTC antisense ENSMUST00000049931 CD43 1444 310 78.48 CDS 1.933121391 0.20754717 -CTTCTAGTACTAAAGAGCCC AGCTCTTCTAGTACTAAAGAGCCCTGGCGAGACT antisense ENSMUST00000049931 CD43 1553 346 87.59 CDS 3.543204409 0.490566038 -GCTGAAGAACGTAGTGAGCG GTCTGCTGAAGAACGTAGTGAGCGTGGGTCTCTG antisense ENSMUST00000049931 CD43 1516 334 84.56 CDS 1.676612393 0.188679245 -AGTGAGCGTGGGTCTCTGCC ACGTAGTGAGCGTGGGTCTCTGCCCGGAGCCTTC antisense ENSMUST00000049931 CD43 1504 330 83.54 CDS 1.608838208 0.174528302 -GTGGTTGTGGCCTCTTCATC TGATGTGGTTGTGGCCTCTTCATCAGGAACCCGG antisense ENSMUST00000049931 CD43 1431 306 77.47 CDS 2.765105493 0.301886792 -TCTTCCTCCCCCTTCAGGTT CGGCTCTTCCTCCCCCTTCAGGTTGGGACCCGAC antisense ENSMUST00000049931 CD43 1596 361 91.39 CDS 1.322803336 0.150943396 -GTCGTCCTCTGCAGACTGTC CATCGTCGTCCTCTGCAGACTGTCTGGGCTCGCC antisense ENSMUST00000049931 CD43 576 21 5.32 CDS 2.107066551 0.216981132 -CTCTTCCTCCCCCTTCAGGT GCGGCTCTTCCTCCCCCTTCAGGTTGGGACCCGA antisense ENSMUST00000049931 CD43 1597 361 91.39 CDS 1.361859798 0.155660377 -GCTTGTGGACCGTCAGAAGT TTTGGCTTGTGGACCGTCAGAAGTTGGGGTTTCC antisense ENSMUST00000049931 CD43 1656 381 96.46 CDS 0.775702725 0.108490566 -GAGCTTGTTGTCACAGTGGT GTTAGAGCTTGTTGTCACAGTGGTGGGGGGTGCA antisense ENSMUST00000049931 CD43 996 161 40.76 CDS 1.652286982 0.183962264 -TTGTGGACCGTCAGAAGTTG TGGCTTGTGGACCGTCAGAAGTTGGGGTTTCCAC antisense ENSMUST00000049931 CD43 1654 380 96.2 CDS 0.248697352 0.061320755 -AACTGATGGGCTGGCATTCT CAGAAACTGATGGGCTGGCATTCTGGGCTTCAGA antisense ENSMUST00000049931 CD43 646 44 11.14 CDS 1.234584329 0.136792453 -TCATCCTCACTGCCCACAAG AGCTTCATCCTCACTGCCCACAAGCGGCTCTTCC antisense ENSMUST00000049931 CD43 1620 369 93.42 CDS 0.84749485 0.113207547 -CCTGTTGCTCATAGAGATTG AATACCTGTTGCTCATAGAGATTGAGGTGCGGCC antisense ENSMUST00000049931 CD43 1695 394 99.75 CDS 0.630308206 0.094339623 -TTCAGGTTGGGACCCGACCC CCCCTTCAGGTTGGGACCCGACCCAGGCTTCAGC antisense ENSMUST00000049931 CD43 1584 357 90.38 CDS 1.525000393 0.169811321 -GCGGCTCTTCCTCCCCCTTC ACAAGCGGCTCTTCCTCCCCCTTCAGGTTGGGAC antisense ENSMUST00000049931 CD43 1601 362 91.65 CDS -0.046485147 0.037735849 -CTTGTGGACCGTCAGAAGTT TTGGCTTGTGGACCGTCAGAAGTTGGGGTTTCCA antisense ENSMUST00000049931 CD43 1655 380 96.2 CDS 0.138126552 0.047169811 -TGCTCATAGAGATTGAGGTG CTGTTGCTCATAGAGATTGAGGTGCGGCCTCATC antisense ENSMUST00000049931 CD43 1690 392 99.24 CDS 0.658760187 0.099056604 -TTGAGGTGCGGCCTCATCTT GAGATTGAGGTGCGGCCTCATCTTTGGCTTGTGG antisense ENSMUST00000049931 CD43 1678 388 98.23 CDS -0.177004815 0.033018868 -GACAGGGGGACCACTGGTCT TGGTGACAGGGGGACCACTGGTCTTGGAGCTTAC antisense ENSMUST00000049931 CD43 1060 182 46.08 CDS -0.504687545 0.028301887 -TCCAAGGGGGTCAAAGAAAC AGTTTCCAAGGGGGTCAAAGAAACTGGGATTGTG antisense ENSMUST00000049931 CD43 732 73 18.48 CDS 0.200916273 0.056603774 -GCGGCCTCATCTTTGGCTTG AGGTGCGGCCTCATCTTTGGCTTGTGGACCGTCA antisense ENSMUST00000049931 CD43 1671 386 97.72 CDS -1.195765978 0.014150943 -AACCCGGGCTGGCCCAGCCC CAGGAACCCGGGCTGGCCCAGCCCAGGCATCCAC antisense ENSMUST00000049931 CD43 1408 298 75.44 CDS 0.173912932 0.051886792 -GAACTGGTTGCTGTGGTAGC CACAGAACTGGTTGCTGTGGTAGCAGGGAGTCCA antisense ENSMUST00000049931 CD43 1131 206 52.15 CDS 0.252312162 0.066037736 -AAACTGATGGGCTGGCATTC ACAGAAACTGATGGGCTGGCATTCTGGGCTTCAG antisense ENSMUST00000049931 CD43 647 44 11.14 CDS -1.154088538 0.018867925 diff --git a/auto_search_corrected/azimuth/data/V2_data.xlsx b/auto_search_corrected/azimuth/data/V2_data.xlsx deleted file mode 100644 index 2c29cbb..0000000 Binary files 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mode 100644 index 5cb2acd..0000000 Binary files a/auto_search_corrected/azimuth/features/__pycache__/featurization.cpython-38.pyc and /dev/null differ diff --git a/auto_search_corrected/azimuth/features/featurization.py b/auto_search_corrected/azimuth/features/featurization.py deleted file mode 100644 index 20888c2..0000000 --- a/auto_search_corrected/azimuth/features/featurization.py +++ /dev/null @@ -1,557 +0,0 @@ -import pandas -import time -import sklearn -import numpy as np -import Bio.SeqUtils as SeqUtil -import Bio.Seq as Seq -import azimuth.util -import sys -import Bio.SeqUtils.MeltingTemp as Tm -import pickle -import itertools - -def featurize_data(data, learn_options, Y, gene_position, pam_audit=True, length_audit=True, quiet=True): - ''' - assumes that data contains the 30mer - returns set of features from which one can make a kernel for each one - ''' - #print (data) - #print("Pam audit: " + str(pam_audit)) - all_lens = data['30mer'].apply(len).values - unique_lengths = np.unique(all_lens) - num_lengths = len(unique_lengths) - assert num_lengths == 1, "should only have sequences of a single length, but found %s: %s" % (num_lengths, str(unique_lengths)) - - if not quiet: - print ("Constructing features...") - t0 = time.time() - - feature_sets = {} - - if learn_options["nuc_features"]: - # spectrum kernels (position-independent) and weighted degree kernels (position-dependent) - get_all_order_nuc_features(data['30mer'], feature_sets, learn_options, learn_options["order"], max_index_to_use=30, quiet=quiet) - - check_feature_set(feature_sets) - - if learn_options["gc_features"]: - gc_above_10, gc_below_10, gc_count = gc_features(data, length_audit) - feature_sets['gc_above_10'] = pandas.DataFrame(gc_above_10) - feature_sets['gc_below_10'] = pandas.DataFrame(gc_below_10) - feature_sets['gc_count'] = pandas.DataFrame(gc_count) - - if learn_options["include_gene_position"]: - # gene_position_columns = ["Amino Acid Cut position", "Percent Peptide", "Nucleotide cut position"] - # gene_position_columns = ["Percent Peptide", "Nucleotide cut position"] - - for set in gene_position.columns: - set_name = set - feature_sets[set_name] = pandas.DataFrame(gene_position[set]) - feature_sets["Percent Peptide <50%"] = feature_sets["Percent Peptide"] < 50 - feature_sets["Percent Peptide <50%"]['Percent Peptide <50%'] = feature_sets["Percent Peptide <50%"].pop("Percent Peptide") - - if learn_options["include_gene_effect"]: - print ("including gene effect") - gene_names = Y['Target gene'] - enc = sklearn.preprocessing.OneHotEncoder() - label_encoder = sklearn.preprocessing.LabelEncoder() - label_encoder.fit(gene_names) - one_hot_genes = np.array(enc.fit_transform(label_encoder.transform(gene_names)[:, None]).todense()) - feature_sets["gene effect"] = pandas.DataFrame(one_hot_genes, - columns=["gene_%d" % i for i in range(one_hot_genes.shape[1])], index=gene_names.index) - - if learn_options['include_known_pairs']: - feature_sets['known pairs'] = pandas.DataFrame(Y['test']) - - if learn_options["include_NGGX_interaction"]: - feature_sets["NGGX"] = NGGX_interaction_feature(data, pam_audit) - - if learn_options["include_Tm"]: - feature_sets["Tm"] = Tm_feature(data, pam_audit, learn_options=None) - - if learn_options["include_sgRNAscore"]: - feature_sets["sgRNA Score"] = pandas.DataFrame(data["sgRNA Score"]) - - if learn_options["include_drug"]: - # feature_sets["drug"] = pandas.DataFrame(data["drug"]) - drug_names = Y.index.get_level_values('drug').tolist() - enc = sklearn.preprocessing.OneHotEncoder() - label_encoder = sklearn.preprocessing.LabelEncoder() - label_encoder.fit(drug_names) - one_hot_drugs = np.array(enc.fit_transform(label_encoder.transform(drug_names)[:, None]).todense()) - feature_sets["drug"] = pandas.DataFrame(one_hot_drugs, columns=["drug_%d" % i for i in range(one_hot_drugs.shape[1])], index=drug_names) - - if learn_options['include_strand']: - feature_sets['Strand effect'] = (pandas.DataFrame(data['Strand']) == 'sense')*1 - - if learn_options["include_gene_feature"]: - feature_sets["gene features"] = gene_feature(Y, data, learn_options) - - if learn_options["include_gene_guide_feature"] > 0: - tmp_feature_sets = gene_guide_feature(Y, data, learn_options) - for key in tmp_feature_sets: - feature_sets[key] = tmp_feature_sets[key] - - if learn_options["include_microhomology"]: - feature_sets["microhomology"] = get_micro_homology_features(Y['Target gene'], learn_options, data) - - t1 = time.time() - if not quiet: - print ("\t\tElapsed time for constructing features is %.2f seconds" % (t1-t0)) - - check_feature_set(feature_sets) - - if learn_options['normalize_features']: - assert("should not be here as doesn't make sense when we make one-off predictions, but could make sense for internal model comparisons when using regularized models") - feature_sets = normalize_feature_sets(feature_sets) - check_feature_set(feature_sets) - - return feature_sets - - -def check_feature_set(feature_sets): - ''' - Ensure the # of people is the same in each feature set - ''' - assert feature_sets != {}, "no feature sets present" - - N = None - for ft in feature_sets.keys(): - N2 = feature_sets[ft].shape[0] - if N is None: - N = N2 - else: - assert N >= 1, "should be at least one individual" - assert N == N2, "# of individuals do not match up across feature sets" - - for set in feature_sets.keys(): - if np.any(np.isnan(feature_sets[set])): - raise Exception("found Nan in set %s" % set) - - -def NGGX_interaction_feature(data, pam_audit=True): - ''' - assuming 30-mer, grab the NGGX _ _ positions, and make a one-hot - encoding of the NX nucleotides yielding 4x4=16 features - ''' - sequence = data['30mer'].values - #print ("Sequence: " + str(sequence)) - feat_NX = pandas.DataFrame() - # check that GG is where we think - for seq in sequence: - #print ("Seq: ") - #print(seq) - if pam_audit and seq[25:27] != "GG": - raise Exception("expected GG but found %s" % seq[25:27]) - NX = seq[24]+seq[27] - NX_onehot = nucleotide_features(NX,order=2, feature_type='pos_dependent', max_index_to_use=2, prefix="NGGX") - # NX_onehot[:] = np.random.rand(NX_onehot.shape[0]) ##TESTING RANDOM FEATURE - feat_NX = pandas.concat([feat_NX, NX_onehot], axis=1, sort=True) - return feat_NX.T - - -def get_all_order_nuc_features(data, feature_sets, learn_options, maxorder, max_index_to_use, prefix="", quiet=False): - for order in range(1, maxorder+1): - if not quiet: - print ("\t\tconstructing order %s features" % order) - nuc_features_pd, nuc_features_pi = apply_nucleotide_features(data, order, learn_options["num_proc"], - include_pos_independent=True, max_index_to_use=max_index_to_use, prefix=prefix) - feature_sets['%s_nuc_pd_Order%i' % (prefix, order)] = nuc_features_pd - if learn_options['include_pi_nuc_feat']: - feature_sets['%s_nuc_pi_Order%i' % (prefix, order)] = nuc_features_pi - check_feature_set(feature_sets) - - if not quiet: - print ("\t\t\t\t\t\t\tdone") - - -def countGC(s, length_audit=True): - ''' - GC content for only the 20mer, as per the Doench paper/code - ''' - if length_audit: - assert len(s) == 30, "seems to assume 30mer" - return len(s[4:24].replace('A', '').replace('T', '')) - - -def SeqUtilFeatures(data): - ''' - assuming '30-mer'is a key - get melting temperature features from: - 0-the 30-mer ("global Tm") - 1-the Tm (melting temperature) of the DNA:RNA hybrid from positions 16 - 20 of the sgRNA, i.e. the 5nts immediately proximal of the NGG PAM - 2-the Tm of the DNA:RNA hybrid from position 8 - 15 (i.e. 8 nt) - 3-the Tm of the DNA:RNA hybrid from position 3 - 7 (i.e. 5 nt) - ''' - sequence = data['30mer'].values - num_features = 1 - featarray = np.ones((sequence.shape[0], num_features)) - for i, seq in enumerate(sequence): - assert len(seq) == 30, "seems to assume 30mer" - featarray[i, 0] = SeqUtil.molecular_weight(str(seq)) - - feat = pandas.DataFrame(pandas.DataFrame(featarray)) - return feat - - -def organism_feature(data): - ''' - Human vs. mouse - ''' - organism = np.array(data['Organism'].values) - feat = pandas.DataFrame(pandas.DataFrame(featarray)) - import ipdb; ipdb.set_trace() - return feat - - -def get_micro_homology_features(gene_names, learn_options, X): - # originally was flipping the guide itself as necessary, but now flipping the gene instead - - print ("building microhomology features") - feat = pandas.DataFrame(index=X.index) - feat["mh_score"] = "" - feat["oof_score"] = "" - - #with open(r"tmp\V%s_gene_mismatches.csv" % learn_options["V"],'wb') as f: - if True: - # number of nulceotides to take to the left and right of the guide - k_mer_length_left = 9 - k_mer_length_right = 21 - for gene in gene_names.unique(): - gene_seq = Seq.Seq(util.get_gene_sequence(gene)).reverse_complement() - guide_inds = np.where(gene_names.values == gene)[0] - print ("getting microhomology for all %d guides in gene %s" % (len(guide_inds), gene)) - for j, ps in enumerate(guide_inds): - guide_seq = Seq.Seq(X['30mer'][ps]) - strand = X['Strand'][ps] - if strand=='sense': - gene_seq = gene_seq.reverse_complement() - # figure out the sequence to the left and right of this guide, in the gene - ind = gene_seq.find(guide_seq) - if ind==-1: - gene_seq = gene_seq.reverse_complement() - ind = gene_seq.find(guide_seq) - #assert ind != -1, "still didn't work" - #print ("shouldn't get here") - else: - #print ("all good") - pass - #assert ind != -1, "could not find guide in gene" - if ind==-1: - #print ("***could not find guide %s for gene %s" % (str(guide_seq), str(gene))) - #if.write(str(gene) + "," + str(guide_seq)) - mh_score = 0 - oof_score = 0 - else: - #print ("worked") - - assert gene_seq[ind:(ind+len(guide_seq))]==guide_seq, "match not right" - left_win = gene_seq[(ind - k_mer_length_left):ind] - right_win = gene_seq[(ind + len(guide_seq)):(ind + len(guide_seq) + k_mer_length_right)] - - #if strand=='antisense': - # # it's arbitrary which of sense and anti-sense we flip, we just want - # # to keep them in the same relative alphabet/direction - # left_win = left_win.reverse_complement() - # right_win = right_win.reverse_complement() - assert len(left_win.tostring())==k_mer_length_left - assert len(right_win.tostring())==k_mer_length_right - - sixtymer = str(left_win) + str(guide_seq) + str(right_win) - assert len(sixtymer)==60, "should be of length 60" - mh_score, oof_score = microhomology.compute_score(sixtymer) - - feat.ix[ps,"mh_score"] = mh_score - feat.ix[ps,"oof_score"] = oof_score - print ("computed microhomology of %s" % (str(gene))) - - return pandas.DataFrame(feat, dtype='float') - - -def local_gene_seq_features(gene_names, learn_options, X): - - print ("building local gene sequence features") - feat = pandas.DataFrame(index=X.index) - feat["gene_left_win"] = "" - feat["gene_right_win"] = "" - - # number of nulceotides to take to the left and right of the guide - k_mer_length = learn_options['include_gene_guide_feature'] - for gene in gene_names.unique(): - gene_seq = Seq.Seq(util.get_gene_sequence(gene)).reverse_complement() - for ps in np.where(gene_names.values==gene)[0]: - guide_seq = Seq.Seq(X['30mer'][ps]) - strand = X['Strand'][ps] - if strand=='sense': - guide_seq = guide_seq.reverse_complement() - #gene_seq = gene_seq.reverse_complement() - # figure out the sequence to the left and right of this guide, in the gene - ind = gene_seq.find(guide_seq) - if ind ==-1: - #gene_seq = gene_seq.reverse_complement() - #ind = gene_seq.find(guide_seq) - assert ind != -1, "could not find guide in gene" - assert gene_seq[ind:(ind+len(guide_seq))]==guide_seq, "match not right" - left_win = gene_seq[(ind - k_mer_length):ind] - right_win = gene_seq[(ind + len(guide_seq)):(ind + len(guide_seq) + k_mer_length)] - - if strand=='antisense': - # it's arbitrary which of sense and anti-sense we flip, we just want - # to keep them in the same relative alphabet/direction - left_win = left_win.reverse_complement() - right_win = right_win.reverse_complement() - assert not left_win.tostring()=="", "k_mer_context, %s, is too large" % k_mer_length - assert not left_win.tostring()=="", "k_mer_context, %s, is too large" % k_mer_length - assert len(left_win)==len(right_win), "k_mer_context, %s, is too large" % k_mer_length - feat.ix[ps,"gene_left_win"] = left_win.tostring() - feat.ix[ps,"gene_right_win"] = right_win.tostring() - print ("featurizing local context of %s" % (gene)) - - feature_sets = {} - get_all_order_nuc_features(feat["gene_left_win"], feature_sets, learn_options, learn_options["order"], max_index_to_use=sys.maxint, prefix="gene_left_win") - get_all_order_nuc_features(feat["gene_right_win"], feature_sets, learn_options, learn_options["order"], max_index_to_use=sys.maxint, prefix="gene_right_win") - return feature_sets - -def gene_feature(Y, X, learn_options): - ''' - Things like the sequence of the gene, the DNA Tm of the gene, etc. - ''' - - gene_names = Y['Target gene'] - - gene_length = np.zeros((gene_names.values.shape[0], 1)) - gc_content = np.zeros((gene_names.shape[0], 1)) - temperature = np.zeros((gene_names.shape[0], 1)) - molecular_weight = np.zeros((gene_names.shape[0], 1)) - - for gene in gene_names.unique(): - seq = util.get_gene_sequence(gene) - gene_length[gene_names.values==gene] = len(seq) - gc_content[gene_names.values==gene] = SeqUtil.GC(seq) - temperature[gene_names.values==gene] = Tm.Tm_staluc(seq, rna=False) - molecular_weight[gene_names.values==gene] = SeqUtil.molecular_weight(seq, 'DNA') - - all = np.concatenate((gene_length, gc_content, temperature, molecular_weight), axis=1) - df = pandas.DataFrame(data=all, index=gene_names.index, columns=['gene length', - 'gene GC content', - 'gene temperature', - 'gene molecular weight']) - return df - -def gene_guide_feature(Y, X, learn_options): - #features, which are related to parts of the gene-local to the guide, and - #possibly incorporating the guide or interactions with it - - #expensive, so pickle if necessary - gene_file = r"..\data\gene_seq_feat_V%s_km%s.ord%s.pickle" % (learn_options['V'], learn_options['include_gene_guide_feature'], learn_options['order']) - - if False: #os.path.isfile(gene_file): #while debugging, comment out - print ("loading local gene seq feats from file %s" % gene_file) - with open(gene_file, "rb") as f: feature_sets = pickle.load(f) - else: - feature_sets = local_gene_seq_features(Y['Target gene'], learn_options, X) - print ("writing local gene seq feats to file %s" % gene_file) - with open(gene_file, "wb") as f: pickle.dump(feature_sets, f) - - return feature_sets - - -def gc_cont(seq): - return (seq.count('G') + seq.count('C'))/float(len(seq)) - - - -def Tm_feature(data, pam_audit=True, learn_options=None): - ''' - assuming '30-mer'is a key - get melting temperature features from: - 0-the 30-mer ("global Tm") - 1-the Tm (melting temperature) of the DNA:RNA hybrid from positions 16 - 20 of the sgRNA, i.e. the 5nts immediately proximal of the NGG PAM - 2-the Tm of the DNA:RNA hybrid from position 8 - 15 (i.e. 8 nt) - 3-the Tm of the DNA:RNA hybrid from position 3 - 7 (i.e. 5 nt) - ''' - - if learn_options is None or 'Tm segments' not in learn_options.keys(): - segments = [(19, 24), (11, 19), (6, 11)] - else: - segments = learn_options['Tm segments'] - - sequence = data['30mer'].values - featarray = np.ones((sequence.shape[0],4)) - - for i, seq in enumerate(sequence): - if pam_audit and seq[25:27]!="GG": - raise Exception("expected GG but found %s" % seq[25:27]) - rna = False - featarray[i,0] = Tm.Tm_staluc(seq, rna=rna) #30mer Tm - featarray[i,1] = Tm.Tm_staluc(seq[segments[0][0]:segments[0][1]], rna=rna) #5nts immediately proximal of the NGG PAM - featarray[i,2] = Tm.Tm_staluc(seq[segments[1][0]:segments[1][1]], rna=rna) #8-mer - featarray[i,3] = Tm.Tm_staluc(seq[segments[2][0]:segments[2][1]], rna=rna) #5-mer - - #print ("CRISPR") - #for d in range(4): - # print (featarray[i,d]) - #import ipdb; ipdb.set_trace() - - - feat = pandas.DataFrame(featarray, index=data.index, columns=["Tm global_%s" % rna, "5mer_end_%s" %rna, "8mer_middle_%s" %rna, "5mer_start_%s" %rna]) - - return feat - -def gc_features(data, audit=True): - gc_count = data['30mer'].apply(lambda seq: countGC(seq, audit)) - gc_count.name = 'GC count' - gc_above_10 = (gc_count > 10)*1 - gc_above_10.name = 'GC > 10' - gc_below_10 = (gc_count < 10)*1 - gc_below_10.name = 'GC < 10' - return gc_above_10, gc_below_10, gc_count - - - -def normalize_features(data,axis): - ''' - input: Pandas.DataFrame of dtype=np.float64 array, of dimensions - mean-center, and unit variance each feature - ''' - data -= data.mean(axis) - data /= data.std(axis) - # remove rows with NaNs - data = data.dropna(1) - if np.any(np.isnan(data.values)): raise Exception("found NaN in normalized features") - return data - -def apply_nucleotide_features(seq_data_frame, order, num_proc, include_pos_independent, max_index_to_use, prefix=""): - - fast = True - if include_pos_independent: - feat_pd = seq_data_frame.apply(nucleotide_features, args=(order, max_index_to_use, prefix, 'pos_dependent')) - feat_pi = seq_data_frame.apply(nucleotide_features, args=(order, max_index_to_use, prefix, 'pos_independent')) - assert not np.any(np.isnan(feat_pd)), "nans here can arise from sequences of different lengths" - assert not np.any(np.isnan(feat_pi)), "nans here can arise from sequences of different lengths" - return feat_pd, feat_pi - else: - feat_pd = seq_data_frame.apply(nucleotide_features, args=(order, max_index_to_use, prefix, 'pos_dependent')) - assert not np.any(np.isnan(feat_pd)), "found nan in feat_pd" - return feat_pd - -def get_alphabet(order, raw_alphabet = ['A', 'T', 'C', 'G']): - alphabet = ["".join(i) for i in itertools.product(raw_alphabet, repeat=order)] - return alphabet - -def nucleotide_features(s, order, max_index_to_use, prefix="", feature_type='all', raw_alphabet = ['A', 'T', 'C', 'G']): - ''' - compute position-specific order-mer features for the 4-letter alphabet - (e.g. for a sequence of length 30, there are 30*4 single nucleotide features - and (30-1)*4^2=464 double nucleotide features - ''' - assert feature_type in ['all', 'pos_independent', 'pos_dependent'] - if max_index_to_use <= len(s): - #print ("WARNING: trimming max_index_to use down to length of string=%s" % len(s)) - max_index_to_use = len(s) - - if max_index_to_use is not None: - s = s[:max_index_to_use] - #assert(len(s)==30, "length not 30") - #s = s[:30] #cut-off at thirty to clean up extra data that they accidentally left in, and were instructed to ignore in this way - alphabet = get_alphabet(order, raw_alphabet = raw_alphabet) - features_pos_dependent = np.zeros(len(alphabet)*(len(s)-(order-1))) - features_pos_independent = np.zeros(np.power(len(raw_alphabet),order)) - - index_dependent = [] - index_independent = [] - - for position in range(0, len(s)-order+1, 1): - for l in alphabet: - index_dependent.append('%s%s_%d' % (prefix, l, position)) - - for l in alphabet: - index_independent.append('%s%s' % (prefix, l)) - - for position in range(0, len(s)-order+1, 1): - nucl = s[position:position+order] - features_pos_dependent[alphabet.index(nucl) + (position*len(alphabet))] = 1.0 - features_pos_independent[alphabet.index(nucl)] += 1.0 - - # this is to check that the labels in the pd df actually match the nucl and position - assert index_dependent[alphabet.index(nucl) + (position*len(alphabet))] == '%s%s_%d' % (prefix, nucl, position) - assert index_independent[alphabet.index(nucl)] == '%s%s' % (prefix, nucl) - - - #index_independent = ['%s_pi.Order%d_P%d' % (prefix, order,i) for i in range(len(features_pos_independent))] - #index_dependent = ['%s_pd.Order%d_P%d' % (prefix, order, i) for i in range(len(features_pos_dependent))] - - - if np.any(np.isnan(features_pos_dependent)): - raise Exception("found nan features in features_pos_dependent") - if np.any(np.isnan(features_pos_independent)): - raise Exception("found nan features in features_pos_independent") - - if feature_type == 'all' or feature_type == 'pos_independent': - if feature_type == 'all': - res = pandas.Series(features_pos_dependent,index=index_dependent), pandas.Series(features_pos_independent,index=index_independent) - assert not np.any(np.isnan(res.values)) - return res - else: - res = pandas.Series(features_pos_independent, index=index_independent) - assert not np.any(np.isnan(res.values)) - return res - - res = pandas.Series(features_pos_dependent, index=index_dependent) - assert not np.any(np.isnan(res.values)) - return res - -def nucleotide_features_dictionary(prefix=''): - seqname = ['-4', '-3', '-2', '-1'] - seqname.extend([str(i) for i in range(1,21)]) - seqname.extend(['N', 'G', 'G', '+1', '+2', '+3']) - - orders = [1, 2, 3] - sequence = 30 - feature_names_dep = [] - feature_names_indep = [] - index_dependent = [] - index_independent = [] - - for order in orders: - raw_alphabet = ['A', 'T', 'C', 'G'] - alphabet = ["".join(i) for i in itertools.product(raw_alphabet, repeat=order)] - features_pos_dependent = np.zeros(len(alphabet)*(sequence-(order-1))) - features_pos_independent = np.zeros(np.power(len(raw_alphabet),order)) - - index_dependent.extend(['%s_pd.Order%d_P%d' % (prefix, order, i) for i in range(len(features_pos_dependent))]) - index_independent.extend(['%s_pi.Order%d_P%d' % (prefix, order,i) for i in range(len(features_pos_independent))]) - - for pos in range(sequence-(order-1)): - for letter in alphabet: - feature_names_dep.append('%s_%s' % (letter, seqname[pos])) - - for letter in alphabet: - feature_names_indep.append('%s' % letter) - - assert len(feature_names_indep) == len(index_independent) - assert len(feature_names_dep) == len(index_dependent) - - index_all = index_dependent + index_independent - feature_all = feature_names_dep + feature_names_indep - - return dict(zip(index_all, feature_all)) - -def normalize_feature_sets(feature_sets): - ''' - zero-mean, unit-variance each feature within each set - ''' - - print ("Normalizing features...") - t1 = time.time() - - new_feature_sets = {} - for set in feature_sets: - new_feature_sets[set] = normalize_features(feature_sets[set],axis=0) - if np.any(np.isnan(new_feature_sets[set].values)): - raise Exception("found Nan feature values in set=%s" % set) - assert new_feature_sets[set].shape[1] > 0, "0 columns of features" - t2 = time.time() - print ("\t\tElapsed time for normalizing features is %.2f seconds" % (t2-t1)) - - return new_feature_sets diff --git a/auto_search_corrected/azimuth/features/featurization.pyc b/auto_search_corrected/azimuth/features/featurization.pyc deleted file mode 100644 index 181c3b8..0000000 Binary files a/auto_search_corrected/azimuth/features/featurization.pyc and /dev/null differ diff --git a/auto_search_corrected/azimuth/features/microhomology.py b/auto_search_corrected/azimuth/features/microhomology.py deleted file mode 100644 index 45de681..0000000 --- a/auto_search_corrected/azimuth/features/microhomology.py +++ /dev/null @@ -1,102 +0,0 @@ -#Supplementary Figure 3 | Source code for assigning a score to a hypothetical deletion -#pattern associated with microhomology -# ------------------------------------------ -# comes from the Supplementary Info of the paper, in pdf form, copied here, but refactored to make a function -# rather than to write it to file -# also see their web server version: http://www.rgenome.net/mich-calculator/ where they say: -# Insert one or more query sequences (A, G, T, C only) flanking the same length at a cleavage site (100bp or less, 60~80bp recommended). - -from math import exp -from re import findall - -def compute_score(seq, tmpfile1="1.before removing duplication.txt", tmpfile2="2.all microhomology patterns.txt", verbose=False): - length_weight=20.0 - left=30 # Insert the position expected to be broken. - right=len(seq)-int(left) - #print 'length of seq = '+str(len(seq)) - - file_temp=open(tmpfile1, "w") - for k in range(2,left)[::-1]: - for j in range(left,left+right-k+1): - for i in range(0,left-k+1): - if seq[i:i+k]==seq[j:j+k]: - length=j-i - file_temp.write(seq[i:i+k]+'\t'+str(i)+'\t'+str(i+k)+'\t'+str(j)+'\t'+str(j+k)+'\t'+str(length)+'\n') - file_temp.close() - - ### After searching out all microhomology patterns, duplication should be removed!! - f1=open(tmpfile1, "r") - s1=f1.read() - - f2=open(tmpfile2, "w") #After removing duplication - f2.write(seq+'\t'+'microhomology\t'+'deletion length\t'+'score of a pattern\n') - - if s1!="": - list_f1=s1.strip().split('\n') - sum_score_3=0 - sum_score_not_3=0 - - for i in range(len(list_f1)): - n=0 - score_3=0 - score_not_3=0 - line=list_f1[i].split('\t') - scrap=line[0] - left_start=int(line[1]) - left_end=int(line[2]) - right_start=int(line[3]) - right_end=int(line[4]) - length=int(line[5]) - - for j in range(i): - line_ref=list_f1[j].split('\t') - left_start_ref=int(line_ref[1]) - left_end_ref=int(line_ref[2]) - right_start_ref=int(line_ref[3]) - right_end_ref=int(line_ref[4]) - - if (left_start >= left_start_ref) and (left_end <= left_end_ref) and (right_start >= right_start_ref) and (right_end <= right_end_ref): - if (left_start - left_start_ref)==(right_start - right_start_ref) and (left_end - left_end_ref)==(right_end - right_end_ref): - n+=1 - else: pass - - if n == 0: - if (length % 3)==0: - length_factor = round(1/exp((length)/(length_weight)),3) - num_GC=len(findall('G',scrap))+len(findall('C',scrap)) - score_3=100*length_factor*((len(scrap)-num_GC)+(num_GC*2)) - - elif (length % 3)!=0: - length_factor = round(1/exp((length)/(length_weight)),3) - num_GC=len(findall('G',scrap))+len(findall('C',scrap)) - score_not_3=100*length_factor*((len(scrap)-num_GC)+(num_GC*2)) - - f2.write(seq[0:left_end]+'-'*length+seq[right_end:]+'\t'+scrap+'\t'+str(length)+'\t'+str(100*length_factor*((len(scrap)-num_GC)+(num_GC*2)))+'\n') - sum_score_3+=score_3 - sum_score_not_3+=score_not_3 - - mh_score = sum_score_3+sum_score_not_3 - oof_score = (sum_score_not_3)*100/(sum_score_3+sum_score_not_3) - if verbose: - print 'Microhomology score = ' + str(mh_score) - print 'Out-of-frame score = ' + str(oof_score) - f1.close() - f2.close() - return mh_score, oof_score - -if __name__ == '__main__': - seq='GGAGGAAGGGCCTGAGTCCGAGCAGAAGAAGAAGGGCTCCCATCACATCAACCGGTGGCG' # The length of sequence is recommend within 60~80 bases. - - tmpfile1 = "1.before removing duplication.txt" - tmpfile2 = "2.all microhomology patterns.txt" - - mh_score, oof_score = compute_score(seq, tmpfile1=tmpfile1, tmpfile2=tmpfile2, verbose=True) - - # The row of output file is consist of (full sequence, microhomology scrap, deletion length, score of pattern). - - #correct output is - #Microhomology score = 4662.9 - #Out-of-frame score = 50.7473889639 - #GGAGGAAGGGCCTGAGTCCGAGCAGAAGAAGAAGGGCTCCCATCACATCAACCGGTGGCG - - print seq \ No newline at end of file diff --git a/auto_search_corrected/azimuth/load_data.py b/auto_search_corrected/azimuth/load_data.py deleted file mode 100644 index e87468e..0000000 --- a/auto_search_corrected/azimuth/load_data.py +++ /dev/null @@ -1,481 +0,0 @@ -import pandas -from . import util -import matplotlib.pyplot as plt -import scipy as sp -import scipy.stats -import numpy as np -import os - -cur_dir = os.path.dirname(os.path.abspath(__file__)) - -def from_custom_file(data_file, learn_options): - # use semantics of when we load V2 data - print ("Loading inputs to predict from %s" % data_file) - data = pandas.read_csv(data_file) - - mandatory_columns = ['30mer', 'Target gene', 'Percent Peptide', 'Amino Acid Cut position'] - for col in mandatory_columns: - assert col in data.columns, "inputs for prediction must include these columns: %s" % mandatory_columns - - Xdf = pandas.DataFrame(data) - Xdf['30mercopy'] = Xdf['30mer'] - Xdf = Xdf.set_index(['30mer', 'Target gene']) - Xdf['30mer'] = Xdf['30mercopy'] - Xdf.index.names = ['Sequence', 'Target'] - Xdf['drug']= ['dummydrug%s' % i for i in range(Xdf.shape[0])] - Xdf = Xdf.set_index('drug', append=True) - - Y = None - gene_position = Xdf[['Percent Peptide', 'Amino Acid Cut position']] - target_genes = np.unique(Xdf.index.levels[1]) - - learn_options = set_V2_target_names(learn_options) - - return Xdf, Y, gene_position, target_genes - - -def from_file(data_file, learn_options, data_file2=None, data_file3=None): - if learn_options["V"] == 1: # from Nature Biotech paper - - print ("loading V%d data" % learn_options["V"]) - - assert not learn_options["weighted"] is not None, "not supported for V1 data" - annotations, gene_position, target_genes, Xdf, Y = read_V1_data(data_file, learn_options) - - learn_options['binary target name'] = 'average threshold' - learn_options['rank-transformed target name'] = 'average rank' - learn_options['raw target name'] = 'average activity' - - # NF: not sure why the line below was uncommented - # gene_position, selected_ind, target_genes, Xdf, Y = extract_by_organism("mouse", Xdf, Y, gene_position) - - elif learn_options["V"] == 2: # from Nov 2014, hot off the machines - Xdf, drugs_to_genes, target_genes, Y, gene_position = read_V2_data(data_file, learn_options) - - # check that data is consistent with sgRNA score - xx = Xdf['sgRNA Score'].values - yy = Y['score_drug_gene_rank'].values - rr,pp = sp.stats.pearsonr(xx, yy) - assert rr > 0, "data processing has gone wrong as correlation with previous predictions is negative" - - learn_options = set_V2_target_names(learn_options) - - elif learn_options["V"] == 3: # merge of V1 and V2--this is what is used for the final model - # these are relative to the V2 data, and V1 will be made to automatically match - learn_options['binary target name'] = 'score_drug_gene_threshold' - learn_options['rank-transformed target name'] = 'score_drug_gene_rank' - learn_options['raw target name'] = None - - Xdf, Y, gene_position, target_genes = mergeV1_V2(data_file, data_file2, learn_options) - - - elif learn_options["V"] == 4: # merge of V1 and V2 and the Xu et al data - # these are relative to the V2 data, and V1 and Xu et al. will be made to automatically match - learn_options['binary target name'] = 'score_drug_gene_threshold' - learn_options['rank-transformed target name'] = 'score_drug_gene_rank' - learn_options['raw target name'] = None - - Xdf, Y, gene_position, target_genes = merge_all(data_file, data_file2, data_file3, learn_options) - - - elif learn_options['V'] == 5: - learn_options['binary target name'] = 'score_drug_gene_threshold' - learn_options['rank-transformed target name'] = 'score_drug_gene_rank' - learn_options['raw target name'] = None - - gene_position, target_genes, Xdf, Y = read_xu_et_al(data_file3) - - - # truncate down to 30--some data sets gave us more. - Xdf["30mer"] = Xdf["30mer"].apply(lambda x: x[0:30]) - - return Xdf, Y, gene_position, target_genes - - -def set_V2_target_names(learn_options): - if 'binary target name' not in learn_options.keys(): - learn_options['binary target name'] = 'score_drug_gene_threshold' - if 'rank-transformed target name' not in learn_options.keys(): - learn_options['rank-transformed target name'] = 'score_drug_gene_rank' - learn_options['raw target name'] = 'score' - return learn_options - - -def combine_organisms(human_data, mouse_data): - # 'Target' is the column name, 'CD13' are some rows in that column - # xs slices through the pandas data frame to return another one - cd13 = human_data.xs('CD13', level='Target', drop_level=False) - # y_names are column names, cd13 is a pandas object - X_CD13, Y_CD13 = util.get_data(cd13, y_names=['NB4 CD13', 'TF1 CD13']) - cd33 = human_data.xs('CD33', level='Target', drop_level=False) - X_CD33, Y_CD33 = util.get_data(cd33, y_names=['MOLM13 CD33', 'TF1 CD33', 'NB4 CD33']) - cd15 = human_data.xs('CD15', level='Target', drop_level=False) - X_CD15, Y_CD15 = util.get_data(cd15, y_names=['MOLM13 CD15']) - - mouse_X = pandas.DataFrame() - mouse_Y = pandas.DataFrame() - for k in mouse_data.index.levels[1]: - # is k the gene - X, Y = util.get_data(mouse_data.xs(k, level='Target', drop_level=False), ["On-target Gene"], target_gene=k, organism='mouse') - mouse_X = pandas.concat([mouse_X, X], axis=0) - mouse_Y = pandas.concat([mouse_Y, Y], axis=0) - - X = pandas.concat([X_CD13, X_CD15, X_CD33, mouse_X], axis=0) - Y = pandas.concat([Y_CD13, Y_CD15, Y_CD33, mouse_Y], axis=0) - - return X, Y - - -def read_V1_data(data_file, learn_options, AML_file=cur_dir + "/data/V1_suppl_data.txt"): - if data_file is None: - data_file = cur_dir + "/data/V1_data.xlsx" - human_data = pandas.read_excel(data_file, sheetname=0, index_col=[0, 1]) - mouse_data = pandas.read_excel(data_file, sheetname=1, index_col=[0, 1]) - Xdf, Y = combine_organisms(human_data, mouse_data) - - # get position within each gene, then join and re-order - # note that 11 missing guides we were told to ignore - annotations = pandas.read_csv(AML_file, delimiter='\t', index_col=[0, 4]) - annotations.index.names = Xdf.index.names - gene_position = pandas.merge(Xdf, annotations, how="inner", left_index=True, right_index=True) - gene_position = util.impute_gene_position(gene_position) - gene_position = gene_position[['Amino Acid Cut position', 'Nucleotide cut position', 'Percent Peptide']] - Y = Y.loc[gene_position.index] - Xdf = Xdf.loc[gene_position.index] - - Y['test'] = 1 # for bookeeping to keep consistent with V2 which uses this for "extra pairs" - - target_genes = Y['Target gene'].unique() - - Y.index.names = ['Sequence', 'Target gene'] - - assert Xdf.index.equals(Y.index), "The index of Xdf is different from the index of Y (this can cause inconsistencies/random performance later on)" - - if learn_options is not None and learn_options["flipV1target"]: - print ("************************************************************************") - print ("*****************MATCHING DOENCH CODE (DEBUG MODE)**********************") - print ("************************************************************************") - # normally it is: Y['average threshold'] = Y['average rank'] > 0.8, where 1s are good guides, 0s are not - Y['average threshold'] = Y['average rank'] < 0.2 # 1s are bad guides - print ("press c to continue") - import ipdb - ipdb.set_trace() - - return annotations, gene_position, target_genes, Xdf, Y - -def rank_transform(x): - return 1.0 - sp.stats.mstats.rankdata(x)/sp.stats.mstats.rankdata(x).max() - -def read_xu_et_al(data_file, learn_options=None, verbose=True, subsetting='ours'): - if data_file is None: - data_file = '../data/xu_et_al_data.xlsx' - - datasets = ['ribo', 'non_ribo', 'mESC'] - aggregated = None - - for d in datasets: - data_efficient = pandas.read_excel(data_file, sheetname='%s_efficient_sgRNA' % d, skiprows=2) - data_inefficient = pandas.read_excel(data_file, sheetname='%s_inefficient_sgRNA' % d, skiprows=2) - - data_efficient['threshold'] = 1. - data_inefficient['threshold'] = 0. - - exp_data = pandas.concat((data_efficient, data_inefficient)) - exp_data['rank_KBM7'] = exp_data.groupby('Gene Symbol')['log2 fold change, KBM7'].transform(rank_transform) - exp_data['rank_HL60'] = exp_data.groupby('Gene Symbol')['log2 fold change, HL60'].transform(rank_transform) - - if aggregated is None: - aggregated = exp_data - else: - aggregated = pandas.concat((aggregated, exp_data)) - - - # go from 40mer to 30mer - if subsetting == 'ours': - aggregated["sequence(target+3'+5')"] = aggregated["sequence(target+3'+5')"].apply(lambda x: x[6:-4]) - else: - aggregated["sequence(target+3'+5')"] = aggregated["sequence(target+3'+5')"].apply(lambda x: x[10:]) - - # make sure EVEYTHING is uppercase - aggregated["sequence(target+3'+5')"] = aggregated["sequence(target+3'+5')"].apply(lambda x: x.upper()) - - # rename columns - aggregated.rename(columns={"sequence(target+3'+5')": '30mer', 'Gene Symbol': 'Target gene', 'strand':'Strand'}, inplace=True) - - aggregated['Strand'].loc[aggregated['Strand']=='+'] = 'sense' - aggregated['Strand'].loc[aggregated['Strand']=='-'] = 'antisense' - - aggregated['average rank'] = aggregated[['rank_HL60', 'rank_KBM7']].mean(axis=1) - df = aggregated - df = df.rename(columns={'30mer': 'Sequence', 'Target gene': 'Target'}) - df['drug'] = 'nodrug' - df['test'] = 1 - df = df.set_index(['Sequence', 'Target', 'drug']) - df['30mer'] = df.index.get_level_values(0) - df['Target gene'] = df.index.get_level_values(1) - df['Organism'] = 'unknown' - df['score_drug_gene_rank'] = df['average rank'] - df['score_drug_gene_threshold'] = df['threshold'] - df['Nucleotide cut position'] = df['start of target'] - df['Percent Peptide'] = 0 - df['Amino Acid Cut position'] = 0 - target_genes = np.unique(df['Target gene'].values) - - return df[['Nucleotide cut position', 'Percent Peptide', 'Amino Acid Cut position']], target_genes, df[['30mer', 'Strand']], df[['score_drug_gene_rank', 'score_drug_gene_threshold', 'test', 'Target gene']] - -def read_V2_data(data_file, learn_options=None, verbose=True): - if data_file is None: - data_file = cur_dir + "/data/V2_data.xlsx" - - # to compare - # import predict as pr; a1, g1, t1, X1, Y1 = pr.data_setup() - # a1.index.names - - data = pandas.read_excel(data_file, sheetname="ResultsFiltered", skiprows=range(0, 6+1), index_col=[0, 4]) - # grab data relevant to each of three drugs, which exludes some genes - # note gene MED12 has two drugs, all others have at most one - Xdf = pandas.DataFrame() - - # This comes from the "Pairs" tab in their excel sheet, - # note HPRT/HPRT1 are same thing, and also PLX_2uM/PLcX_2uM - known_pairs = {'AZD_200nM': ['CCDC101', 'MED12', 'TADA2B', 'TADA1'], - '6TG_2ug/mL': ['HPRT1'], - 'PLX_2uM': ['CUL3', 'NF1', 'NF2', 'MED12']} - - drugs_to_genes = {'AZD_200nM': ['CCDC101', 'MED12', 'TADA2B', 'TADA1'], - '6TG_2ug/mL': ['HPRT1'], - 'PLX_2uM': ['CUL3', 'NF1', 'NF2', 'MED12']} - - if learn_options is not None: - assert not (learn_options['extra pairs'] and learn_options['all pairs']), "extra pairs and all pairs options (in learn_options) can't be active simultaneously." - - if learn_options['extra pairs']: - drugs_to_genes['AZD_200nM'].extend(['CUL3', 'NF1', 'NF2']) - elif learn_options['all pairs']: - drugs_to_genes['AZD_200nM'].extend(['HPRT1', 'CUL3', 'NF1', 'NF2']) - drugs_to_genes['PLX_2uM'].extend(['HPRT1', 'CCDC101', 'TADA2B', 'TADA1']) - drugs_to_genes['6TG_2ug/mL'].extend(['CCDC101', 'MED12', 'TADA2B', 'TADA1', 'CUL3', 'NF1', 'NF2']) - - count = 0 - for drug in drugs_to_genes.keys(): - genes = drugs_to_genes[drug] - for g in genes: - Xtmp = data.copy().xs(g, level='Target gene', drop_level=False) - Xtmp['drug'] = drug - Xtmp['score'] = Xtmp[drug].copy() # grab the drug results that are relevant for this gene - - if g in known_pairs[drug]: - Xtmp['test'] = 1. - else: - Xtmp['test'] = 0. - - count = count + Xtmp.shape[0] - Xdf = pandas.concat([Xdf, Xtmp], axis=0) - if verbose: - print ("Loaded %d samples for gene %s \ttotal number of samples: %d" % (Xtmp.shape[0], g, count)) - - # create new index that includes the drug - Xdf = Xdf.set_index('drug', append=True) - - Y = pandas.DataFrame(Xdf.pop("score")) - Y.columns.names = ["score"] - - test_gene = pandas.DataFrame(Xdf.pop('test')) - target = pandas.DataFrame(Xdf.index.get_level_values('Target gene').values, index=Y.index, columns=["Target gene"]) - Y = pandas.concat((Y, target, test_gene), axis=1) - target_genes = Y['Target gene'].unique() - gene_position = Xdf[["Percent Peptide", "Amino Acid Cut position"]].copy() - - # convert to ranks for each (gene, drug combo) - # flip = True - y_rank = pandas.DataFrame() - y_threshold = pandas.DataFrame() - y_quant = pandas.DataFrame() - for drug in drugs_to_genes.keys(): - gene_list = drugs_to_genes[drug] - for gene in gene_list: - ytmp = pandas.DataFrame(Y.xs((gene, drug), level=["Target gene", "drug"], drop_level=False)['score']) - y_ranktmp, y_rank_raw, y_thresholdtmp, y_quanttmp = util.get_ranks(ytmp, thresh=0.8, prefix="score_drug_gene", flip=False) - # np.unique(y_rank.values-y_rank_raw.values) - y_rank = pandas.concat((y_rank, y_ranktmp), axis=0) - y_threshold = pandas.concat((y_threshold, y_thresholdtmp), axis=0) - y_quant = pandas.concat((y_quant, y_quanttmp), axis=0) - - yall = pandas.concat((y_rank, y_threshold, y_quant), axis=1) - Y = pandas.merge(Y, yall, how='inner', left_index=True, right_index=True) - - # convert also by drug only, irrespective of gene - y_rank = pandas.DataFrame() - y_threshold = pandas.DataFrame() - y_quant = pandas.DataFrame() - for drug in drugs_to_genes.keys(): - ytmp = pandas.DataFrame(Y.xs(drug, level="drug", drop_level=False)['score']) - y_ranktmp, y_rank_raw, y_thresholdtmp, y_quanttmp = util.get_ranks(ytmp, thresh=0.8, prefix="score_drug", flip=False) - # np.unique(y_rank.values-y_rank_raw.values) - y_rank = pandas.concat((y_rank, y_ranktmp), axis=0) - y_threshold = pandas.concat((y_threshold, y_thresholdtmp), axis=0) - y_quant = pandas.concat((y_quant, y_quanttmp), axis=0) - - yall = pandas.concat((y_rank, y_threshold, y_quant), axis=1) - Y = pandas.merge(Y, yall, how='inner', left_index=True, right_index=True) - - PLOT = False - if PLOT: - # to better understand, try plotting something like: - labels = ["score", "score_drug_gene_rank", "score_drug_rank", "score_drug_gene_threshold", "score_drug_threshold"] - - for label in labels: - plt.figure() - plt.plot(Xdf['sgRNA Score'].values, Y[label].values, '.') - r, pearp = sp.stats.pearsonr(Xdf['sgRNA Score'].values.flatten(), Y[label].values.flatten()) - plt.title(label + ' VS pred. score, $r$=%0.2f (p=%0.2e)' % (r, pearp)) - plt.xlabel("sgRNA prediction score") - plt.ylabel(label) - - gene_position = util.impute_gene_position(gene_position) - - if learn_options is not None and learn_options["weighted"] == "variance": - print ("computing weights from replicate variance...") - # compute the variance across replicates so can use it as a weight - data = pandas.read_excel(data_file, sheetname="Normalized", skiprows=range(0, 6+1), index_col=[0, 4]) - data.index.names = ["Sequence", "Target gene"] - - experiments = {} - experiments['AZD_200nM'] = ['Deep 25', 'Deep 27', 'Deep 29 ', 'Deep 31'] - experiments['6TG_2ug/mL'] = ['Deep 33', 'Deep 35', 'Deep 37', 'Deep 39'] - experiments['PLX_2uM'] = ['Deep 49', 'Deep 51', 'Deep 53', 'Deep 55'] - - variance = None - for drug in drugs_to_genes.keys(): - data_tmp = data.iloc[data.index.get_level_values('Target gene').isin(drugs_to_genes[drug])][experiments[drug]] - data_tmp["drug"] = drug - data_tmp = data_tmp.set_index('drug', append=True) - data_tmp["variance"] = np.var(data_tmp.values, axis=1) - if variance is None: - variance = data_tmp["variance"].copy() - else: - variance = pandas.concat((variance, data_tmp["variance"]), axis=0) - - orig_index = Y.index.copy() - Y = pandas.merge(Y, pandas.DataFrame(variance), how="inner", left_index=True, right_index=True) - Y = Y.ix[orig_index] - print ("done.") - - # Make sure to keep this check last in this function - assert Xdf.index.equals(Y.index), "The index of Xdf is different from the index of Y (this can cause inconsistencies/random performance later on)" - - return Xdf, drugs_to_genes, target_genes, Y, gene_position - - -def merge_all(data_file=None, data_file2=None, data_file3=None, learn_options=None): - Xdf, Y, gene_position, target_genes = mergeV1_V2(data_file, data_file2, learn_options) - gene_position_xu, target_genes_xu, Xdf_xu, Y_xu = read_xu_et_al(data_file3, learn_options) - Xdf = pandas.concat((Xdf, Xdf_xu)) - Y = pandas.concat((Y, Y_xu)) - gene_position = pandas.concat((gene_position, gene_position_xu)) - target_genes = np.concatenate((target_genes, target_genes_xu)) - - return Xdf, Y, gene_position, target_genes - -def mergeV1_V2(data_file, data_file2, learn_options): - ''' - ground_truth_label, etc. are taken to correspond to the V2 data, and then the V1 is appropriately matched - based on semantics - ''' - assert not learn_options['include_strand'], "don't currently have 'Strand' column in V1 data" - - annotations, gene_position1, target_genes1, Xdf1, Y1 = read_V1_data(data_file, learn_options) - Xdf2, drugs_to_genes, target_genes2, Y2, gene_position2 = read_V2_data(data_file2) - - Y1.rename(columns={'average rank': learn_options["rank-transformed target name"]}, inplace=True) - Y1.rename(columns={'average threshold': learn_options["binary target name"]}, inplace=True) - - # rename columns, and add a dummy "drug" to V1 so can join the data sets - Y1["drug"] = ["nodrug" for x in range(Y1.shape[0])] - Y1 = Y1.set_index('drug', append=True) - Y1.index.names = ['Sequence', 'Target gene', 'drug'] - - Y_cols_to_keep = np.unique(['Target gene', 'test', 'score_drug_gene_rank', 'score_drug_gene_threshold']) - - Y1 = Y1[Y_cols_to_keep] - Y2 = Y2[Y_cols_to_keep] - - Xdf1["drug"] = ["nodrug" for x in range(Xdf1.shape[0])] - Xdf1 = Xdf1.set_index('drug', append=True) - - X_cols_to_keep = ['30mer', 'Strand'] - Xdf1 = Xdf1[X_cols_to_keep] - Xdf2 = Xdf2[X_cols_to_keep] - - gene_position1["drug"] = ["nodrug" for x in range(gene_position1.shape[0])] - gene_position1 = gene_position1.set_index('drug', append=True) - gene_position1.index.names = ['Sequence', 'Target gene', 'drug'] - cols_to_keep = [u'Percent Peptide', u'Amino Acid Cut position'] - gene_position1 = gene_position1[cols_to_keep] - gene_position2 = gene_position2[cols_to_keep] - - Y = pandas.concat((Y1, Y2), axis=0) - Xdf = pandas.concat((Xdf1, Xdf2), axis=0) - gene_position = pandas.concat((gene_position1, gene_position2)) - - # target_genes = target_genes1 + target_genes2 - target_genes = np.concatenate((target_genes1, target_genes2)) - - save_to_file = False - - if save_to_file: - Y.index.names = ['Sequence', 'Target', 'drug'] - assert np.all(Xdf.index.values==Y.index.values), "rows don't match up" - - onedupind = np.where(Y.index.duplicated())[0][0] - alldupind = np.where(Y.index.get_level_values(0).values==Y.index[onedupind][0])[0] - - #arbitrarily set one of these to have "nodrug2" as the third level index - #so that they are not repeated, and the joints therefore do not augment the data set - assert len(alldupind)==2, "expected only duplicates" - newindex = Y.index.tolist() - newindex[onedupind] = (newindex[onedupind][0], newindex[onedupind][1], "nodrug2") - Y.index = pandas.MultiIndex.from_tuples(newindex, names = Y.index.names) - Xdf.index = pandas.MultiIndex.from_tuples(newindex, names = Y.index.names) - - # there seems to be a duplicate index, and thus this increases the data set size, so doing it the hacky way... - XandY = pandas.merge(Xdf, Y, how="inner", left_index=True, right_index=True) - gene_position_tmp = gene_position.copy() - gene_position_tmp.index.names = ['Sequence', 'Target', 'drug'] - gene_position_tmp.index = pandas.MultiIndex.from_tuples(newindex, names = Y.index.names) - XandY = pandas.merge(XandY, gene_position_tmp, how="inner", left_index=True, right_index=True) - - # truncate to 30mers - XandY["30mer"] = XandY["30mer"].apply(lambda x: x[0:30]) - XandY.to_csv(r'D:\Source\CRISPR\data\tmp\V3.csv') - - return Xdf, Y, gene_position, target_genes - - -def get_V1_genes(data_file=None): - annotations, gene_position, target_genes, Xdf, Y = read_V1_data(data_file, learn_options=None) - return target_genes - - -def get_V2_genes(data_file=None): - Xdf, drugs_to_genes, target_genes, Y, gene_position = read_V2_data(data_file, verbose=False) - return target_genes - - -def get_V3_genes(data_fileV1=None, data_fileV2=None): - target_genes = np.concatenate((get_V1_genes(data_fileV1), get_V2_genes(data_fileV2))) - return target_genes - -def get_xu_genes(data_file=None): - return read_xu_et_al(data_file)[1] - -def get_mouse_genes(data_file=None): - annotations, gene_position, target_genes, Xdf, Y = read_V1_data(data_file, learn_options=None) - return Xdf[Xdf['Organism'] == 'mouse']['Target gene'].unique() - - -def get_human_genes(data_file=None): - annotations, gene_position, target_genes, Xdf, Y = read_V1_data(data_file, learn_options=None) - mouse_genes = Xdf[Xdf['Organism'] == 'mouse']['Target gene'].unique() - all_genes = get_V3_genes(None, None) # TODO this needs to support specifying file names (!= 'None') - return np.setdiff1d(all_genes, mouse_genes) diff --git a/auto_search_corrected/azimuth/load_data.pyc b/auto_search_corrected/azimuth/load_data.pyc deleted file mode 100644 index e3aabf9..0000000 Binary files a/auto_search_corrected/azimuth/load_data.pyc and /dev/null differ diff --git a/auto_search_corrected/azimuth/local_multiprocessing.py b/auto_search_corrected/azimuth/local_multiprocessing.py deleted file mode 100644 index e07a961..0000000 --- a/auto_search_corrected/azimuth/local_multiprocessing.py +++ /dev/null @@ -1,30 +0,0 @@ -import multiprocessing -import numpy as np - - -def configure(num_jobs=8, TEST=False, subtract=0, num_proc=None, num_thread_per_proc=None): - ''' - num_jobs is typically the # of genes we are parallelizing over - ''' - if num_proc is None: - num_proc = multiprocessing.cpu_count() - subtract - - if num_jobs > num_proc: - num_jobs = num_proc - - if num_thread_per_proc is None: - num_thread_per_proc = int(np.floor(num_proc/num_jobs)) - - if TEST: - num_jobs = 1 - num_thread_per_proc = 1 - - try: - import mkl - mkl.set_num_threads(num_thread_per_proc) - except ImportError: - print ("MKL not available, so I'm not adjusting the number of threads") - - print ("Launching %d jobs with %d MKL threads each" % (num_jobs, num_thread_per_proc)) - - return num_jobs diff --git a/auto_search_corrected/azimuth/local_multiprocessing.pyc b/auto_search_corrected/azimuth/local_multiprocessing.pyc deleted file mode 100644 index f437250..0000000 Binary files a/auto_search_corrected/azimuth/local_multiprocessing.pyc and /dev/null differ diff --git a/auto_search_corrected/azimuth/metrics.py b/auto_search_corrected/azimuth/metrics.py deleted file mode 100644 index 961b7e6..0000000 --- a/auto_search_corrected/azimuth/metrics.py +++ /dev/null @@ -1,656 +0,0 @@ -""" -from https://gist.github.com/bwhite/3726239 - -Information Retrieval metrics - -Useful Resources: -http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt -http://www.nii.ac.jp/TechReports/05-014E.pdf -http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf -http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf -Learning to Rank for Information Retrieval (Tie-Yan Liu) -""" -#import np as np #commented because no module np for conda -import numpy as np -import scipy as sp -import scipy.stats -#import util as ut #py2 -from . import util as np #py3 -import time - -def mean_reciprocal_rank(rs): - """Score is reciprocal of the rank of the first relevant item - - First element is 'rank 1'. Relevance is binary (nonzero is relevant). - - Example from http://en.wikipedia.org/wiki/Mean_reciprocal_rank - >>> rs = [[0, 0, 1], [0, 1, 0], [1, 0, 0]] - >>> mean_reciprocal_rank(rs) - 0.61111111111111105 - >>> rs = np.array([[0, 0, 0], [0, 1, 0], [1, 0, 0]]) - >>> mean_reciprocal_rank(rs) - 0.5 - >>> rs = [[0, 0, 0, 1], [1, 0, 0], [1, 0, 0]] - >>> mean_reciprocal_rank(rs) - 0.75 - - Args: - rs: Iterator of relevance scores (list or numpy) in rank order - (first element is the first item) - - Returns: - Mean reciprocal rank - """ - rs = (np.asarray(r).nonzero()[0] for r in rs) - return np.mean([1. / (r[0] + 1) if r.size else 0. for r in rs]) - - -def r_precision(r): - """Score is precision after all relevant documents have been retrieved - - Relevance is binary (nonzero is relevant). - - >>> r = [0, 0, 1] - >>> r_precision(r) - 0.33333333333333331 - >>> r = [0, 1, 0] - >>> r_precision(r) - 0.5 - >>> r = [1, 0, 0] - >>> r_precision(r) - 1.0 - - Args: - r: Relevance scores (list or numpy) in rank order - (first element is the first item) - - Returns: - R Precision - """ - r = np.asarray(r) != 0 - z = r.nonzero()[0] - if not z.size: - return 0. - return np.mean(r[:z[-1] + 1]) - - -def precision_at_k(r, k): - """Score is precision @ k - - Relevance is binary (nonzero is relevant). - - >>> r = [0, 0, 1] - >>> precision_at_k(r, 1) - 0.0 - >>> precision_at_k(r, 2) - 0.0 - >>> precision_at_k(r, 3) - 0.33333333333333331 - >>> precision_at_k(r, 4) - Traceback (most recent call last): - File "", line 1, in ? - ValueError: Relevance score length < k - - - Args: - r: Relevance scores (list or numpy) in rank order - (first element is the first item) - - Returns: - Precision @ k - - Raises: - ValueError: len(r) must be >= k - """ - assert k >= 1 - r = np.asarray(r)[:k] != 0 - if r.size != k: - raise ValueError('Relevance score length < k') - return np.mean(r) - - -def average_precision(r): - """Score is average precision (area under PR curve) - - Relevance is binary (nonzero is relevant). - - >>> r = [1, 1, 0, 1, 0, 1, 0, 0, 0, 1] - >>> delta_r = 1. / sum(r) - >>> sum([sum(r[:x + 1]) / (x + 1.) * delta_r for x, y in enumerate(r) if y]) - 0.7833333333333333 - >>> average_precision(r) - 0.78333333333333333 - - Args: - r: Relevance scores (list or numpy) in rank order - (first element is the first item) - - Returns: - Average precision - """ - r = np.asarray(r) != 0 - out = [precision_at_k(r, k + 1) for k in range(r.size) if r[k]] - if not out: - return 0. - return np.mean(out) - - -def mean_average_precision(rs): - """Score is mean average precision - - Relevance is binary (nonzero is relevant). - - >>> rs = [[1, 1, 0, 1, 0, 1, 0, 0, 0, 1]] - >>> mean_average_precision(rs) - 0.78333333333333333 - >>> rs = [[1, 1, 0, 1, 0, 1, 0, 0, 0, 1], [0]] - >>> mean_average_precision(rs) - 0.39166666666666666 - - Args: - rs: Iterator of relevance scores (list or numpy) in rank order - (first element is the first item) - - Returns: - Mean average precision - """ - return np.mean([average_precision(r) for r in rs]) - - -def dcg_at_k(r, k, method=0): - """Score is discounted cumulative gain (dcg) - - Relevance is positive real values. Can use binary - as the previous methods. - - Example from - http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf - >>> r = [3, 2, 3, 0, 0, 1, 2, 2, 3, 0] - >>> dcg_at_k(r, 1) - 3.0 - >>> dcg_at_k(r, 1, method=1) - 3.0 - >>> dcg_at_k(r, 2) - 5.0 - >>> dcg_at_k(r, 2, method=1) - 4.2618595071429155 - >>> dcg_at_k(r, 10) - 9.6051177391888114 - >>> dcg_at_k(r, 11) - 9.6051177391888114 - - Args: - r: Relevance scores (list or numpy) in rank order - (first element is the first item) - k: Number of results to consider - method: If 0 then weights are [1.0, 1.0, 0.6309, 0.5, 0.4307, ...] - If 1 then weights are [1.0, 0.6309, 0.5, 0.4307, ...] - - Returns: - Discounted cumulative gain - """ - r = np.asfarray(r)[:k] - if r.size: - if method == 0: - return r[0] + np.sum(r[1:] / np.log2(np.arange(2, r.size + 1))) - elif method == 1: - return np.sum(r / np.log2(np.arange(2, r.size + 2))) - else: - raise ValueError('method must be 0 or 1.') - return 0. - - -def ndcg_at_k(r, k, method=0): - """Score is normalized discounted cumulative gain (ndcg) - - Relevance is positive real values. Can use binary - as the previous methods. - - Example from - http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf - >>> r = [3, 2, 3, 0, 0, 1, 2, 2, 3, 0] - >>> ndcg_at_k(r, 1) - 1.0 - >>> r = [2, 1, 2, 0] - >>> ndcg_at_k(r, 4) - 0.9203032077642922 - >>> ndcg_at_k(r, 4, method=1) - 0.96519546960144276 - >>> ndcg_at_k([0], 1) - 0.0 - >>> ndcg_at_k([1], 2) - 1.0 - - Args: - r: Relevance scores (list or numpy) in rank order - (first element is the first item) - k: Number of results to consider - method: If 0 then weights are [1.0, 1.0, 0.6309, 0.5, 0.4307, ...] - If 1 then weights are [1.0, 0.6309, 0.5, 0.4307, ...] - - Returns: - Normalized discounted cumulative gain - """ - dcg_max = dcg_at_k(sorted(r, reverse=True), k, method) - if not dcg_max: - return 0. - return dcg_at_k(r, k, method) / dcg_max - -## ------------------------------------------------------------------------------------ -## custom stuff from us to avoid problem with ties - -def ndcg_at_k_ties(labels, predictions, k, method=0, normalize_from_below_too=False, theta=None): - ''' - See 2008 McSherry et al on how to efficiently compute NDCG with ties - labels are ground truth - - if k=None then k gets set to len(labels) - - labels and predictions get flattened here - - set normalize_from_below_too=False for conventional ndcg_at_k_ties, but note this will only - ensure the max is 1, not that the min is zero. to get that added guarantee, set this argument to True - ''' - - if isinstance(labels, list): - labels = np.array(labels) - if isinstance(predictions, list): - predictions = np.array(predictions) - - - assert len(labels.shape)==1 or np.min(labels.shape)==1, "should be 1D array or equivalent" - assert len(predictions.shape)==1 or np.min(predictions.shape)==1, "should be 1D array or equivalent" - - labels = labels.flatten() - predictions = predictions.flatten() - - assert np.all(labels.shape == predictions.shape), "labels and predictions should have the same shape" - - if k is None: - k = len(labels) - - labels = labels.copy() - - dcg = dcg_at_k_ties(labels, predictions, k, method=method, theta=theta) - - dcg_max = dcg_at_k_ties(labels, labels, k, method, theta=theta) - # NOTE: I have checked that dcg_at_k_ties and dcg_at_k match when there are no ties, or ties in the labels - - - if normalize_from_below_too: - dcg_min = dcg_at_k_ties(np.sort(labels)[::-1], np.sort(predictions), k, method, theta=theta) - else: - dcg_min = 0 - numerator = (dcg - dcg_min) - assert numerator > -1e-5 - numerator = np.max((0, numerator)) - ndcg = numerator / (dcg_max - dcg_min) - assert ndcg <= 1.0 and ndcg >= 0.0, "ndcg=%f should be in [0,1]" % ndcg - if not dcg_max: - ndcg = 0. - return ndcg - -def dcg_helper(discount_factors, gain, k, labels, method, predictions): - #step through, in current order (of decreasing predictions), accumulating tied gains (which may be singletons) - ii = 0 - dcg = 0.0 - while (ii < k): - current_pred = predictions[ii] - current_gain = gain(labels[ii], method) - # intializing the tied cumulative variables - cum_tied_gain = current_gain - cum_tied_disc = discount_factors[ii] - num_ties = 1 - ii += 1 - # count number of ties in predictions - while (ii real_ndcg_diff).sum() + 1), 1.0)) - pval = num_stat_greater / nperm - - if False: - plt.figure(); - plt.plot(np.sort(perm_ndcg_diff), '.') - plt.plot(real_ndcg_diff*np.ones(perm_ndcg_diff.shape), 'k-') - plt.show() - - return pval, real_ndcg_diff, perm_ndcg_diff, ndcg1, ndcg2 - -if __name__ == "__main__": - import cPickle as pickle - import matplotlib.pyplot as plt - import elevation.metrics - import corrstats - - simulated_data = True - permute_real_data = True - - T = 1000 - allp = np.nan*np.ones(T) - - nperm = 100 - #method = 4; normalize_from_below_too = True; - - #theta_range = np.logspace(np.log10(0.01), np.log10(1.0), 3) # Nicolo uses 10, so I grab the extremes and middle - #theta_range = np.array([0.01]) - #weights = np.logspace(np.log10(0.0001), np.log10(10), 3); - #weights = np.array([100.0]) - weights = np.array([0.001]) - theta_range = weights# just to make life easier - - - # only for simulated data - N = 100 - frac_zeros = 0 - - k = None - - allp = np.nan*np.zeros((len(theta_range) + 1, T)) - - if not simulated_data: - print("loading up saved data...") # two-fold CV data from CRISPR off-target GUIDE-SEQ) - with open(r'\\nerds5\kevin\from_nicolo\gs.pickle','rb') as f: predictions, truth_all = pickle.load(f) - print ("done.") - N = len(truth_all[0]) - - for t in range(T): - - # totally simulated - if simulated_data: - truth = np.random.rand(N) - zero_ind = np.random.rand(N) < frac_zeros - truth[zero_ind] = 0 - pred1 = np.random.rand(N) - pred2 = np.random.rand(N) - else: - fold = 0 - truth = truth_all[fold] - pred1 = predictions["CFD"][fold] - pred2 = predictions["product"][fold] - - if permute_real_data: - truth = np.random.permutation(truth) - - t0 = time.time() - #pval, real_ndcg_diff, perm_ndcg_diff, ndcg1, ndcg2 = ndcg_at_k_swap_perm_test(pred1, pred2, truth, nperm, method, k, normalize_from_below_too, theta_range=theta_range) - for i, w in enumerate(weights): - weights_array = truth.copy() - weights_array += w - - #corr0 = elevation.metrics.spearman_weighted(truth, pred1, w=weights_array) - #corr1 = elevation.metrics.spearman_weighted(truth, pred2, w=weights_array) - #corr01 = elevation.metrics.spearman_weighted(pred1, pred2, w=weights_array) - #n0 = len(truth) - #t2, pvaltmp = corrstats.dependent_corr(corr0, corr1, corr01, n0, twotailed=True, method="steiger") - - pvaltmp, real_corr_diff, perm_corr_diff, corr1, corr2 = elevation.spearman_weighted_swap_perm_test(pred1, pred2, truth, nperm, weights_array) - - allp[i, t] = pvaltmp - t1 = time.time() - - #for i, theta in enumerate(theta_range.tolist() + ["all"]): - # print "%d, theta=%s) ndcg1=%f, ndcg2=%f, ndcg_diff=%f, p=%f, elapsed time=%f minutes, smallest_p=%f" % (t, str(theta), ndcg1[theta], ndcg2[theta], real_ndcg_diff[theta], pval[theta], (t1-t0)/60, 1.0/nperm) - # allp[i, t] = pval[theta] - #print "---------------" - - #for i, theta in enumerate(theta_range.tolist() + ["all"]): - for i, theta in enumerate(theta_range.tolist()): - #mytitle = "Norm. hist p-values nDCG\n %d null samples, w %d perm and N=%d, theta=%s" % (T, nperm, N, str(theta)) - mytitle = "Norm. hist p-values Steiger w weighted Spearman\n %d null samples, N=%d, weight=%s" % (T, N, str(theta)) - ut.qqplotp(allp[i,:], dohist=True, numbins=10, figsize=[6,6], title=mytitle, markersize=5) - plt.show() - - #save_tmp_results = r'D:\Source\CRISPR\elevation\pickles\tmp.ndcg.stat.calibration.p' - #pickle.dump([theta_range, allp, pval, real_ndcg_diff, perm_ndcg_diff, ndcg1, ndcg2], open(save_tmp_results, "wb" )) - #[theta_range, allp, pval, real_ndcg_diff, perm_ndcg_diff, ndcg1, ndcg2] = pickle.load(open(save_tmp_results, "rb" )) - - - import ipdb; ipdb.set_trace() - - - # # e.g. where all predictions are the same - # labels = np.arange(30) - # predictions = np.ones(30) - - # discount_factors = get_discount_factors(labels) - # avg_label = np.mean(labels) - # avg_label_vec = avg_label*np.ones((len(labels),1)) - - # for k in range(10): - # # one way - # dcg1 = np.dot(discount_factors[0:k,None].T, avg_label_vec[0:k])[0][0] - # # another way - # dcg2 = np.sum(discount_factors[0:k])*avg_label - # # using our function - # dcg3 = dcg_at_k_ties(labels,predictions,k) - - # print "%f, %f, %f" % (dcg1, dcg2, dcg3) - # assert(np.abs(dcg1 - dcg2) < 1e-8) - # assert(np.abs(dcg2 - dcg3) < 1e-8) - # print "check out ok for case with all ties in predictions" - - truth = np.array([3, 4, 2, 1, 0, 0, 0]) - pred1 = np.array([3, 4, 2, 1, 0, 0, 0]) - pred2 = np.array([2, 1, 3, 4, 5, 6, 7]) - - truth3 = np.array([3, 4, 2, 1, 0, 0, 0]) - truth4 = np.zeros(7); truth4[0] = 1 - pred3 = np.array([2, 1, 3, 4, 5, 6, 7])*10 - pred4 = np.array([4, 3, 2, 1, 0, 0, 0]) - pred5 = np.array([4, 3, 1, 2, 0, 0, 0]) - - nperm = 1000 - method = 4; theta = 0.5; normalize_from_below_too = True - k = len(pred3) - - pval, real_ndcg_diff, perm_ndcg_diff, ndcg1, ndcg2 = ndcg_at_k_swap_perm_test(pred1, pred2, truth, nperm, method, k, normalize_from_below_too, theta=theta) - print("ndcg1=%f, ndcg2=%f, ndcg_diff=%f, p=%f" % (ndcg1, ndcg2, real_ndcg_diff, pval)) - - pval, real_ndcg_diff, perm_ndcg_diff, ndcg1, ndcg2 = ndcg_at_k_swap_perm_test(pred1, pred1, truth, nperm, method, k, normalize_from_below_too, theta=theta) - print("ndcg1=%f, ndcg2=%f, ndcg_diff=%f, p=%f" % (ndcg1, ndcg2, real_ndcg_diff, pval)) - - pval, real_ndcg_diff, perm_ndcg_diff, ndcg1, ndcg2 = ndcg_at_k_swap_perm_test(pred1, pred4, truth, nperm, method, k, normalize_from_below_too, theta=theta) - print("ndcg1=%f, ndcg2=%f, ndcg_diff=%f, p=%f" % (ndcg1, ndcg2, real_ndcg_diff, pval)) - - pval, real_ndcg_diff, perm_ndcg_diff, ndcg1, ndcg2 = ndcg_at_k_swap_perm_test(pred1, pred5, truth, nperm, method, k, normalize_from_below_too, theta=theta) - print("ndcg1=%f, ndcg2=%f, ndcg_diff=%f, p=%f" % (ndcg1, ndcg2, real_ndcg_diff, pval)) - - import ipdb; ipdb.set_trace() - - - #print ndcg_at_k_ties(truth, truth, k, method=0, normalize_from_below_too=True) - #print ndcg_at_k_ties(truth, pred2, k, method=0, normalize_from_below_too=True) - #print ndcg_at_k_ties(truth, pred3, k, method=0, normalize_from_below_too=True) - #print ndcg_at_k_ties(truth3, pred3, k, method=3, normalize_from_below_too=True) - print(ndcg_at_k_ties(truth4, pred2, k, method=3, normalize_from_below_too=True)) - - print(ndcg_alt(truth[np.argsort(pred2)[::-1]], 5)) - print(ndcg_at_k(truth[np.argsort(pred2)[::-1]], 5, method=1)) - print(ndcg_at_k(truth[np.argsort(pred2)[::-1]], 5, method=0)) - - print(ndcg_at_k_ties(truth, pred2, 5, method=1)) - print(ndcg_at_k_ties(truth, pred2, 5, method=0)) diff --git a/auto_search_corrected/azimuth/metrics.pyc b/auto_search_corrected/azimuth/metrics.pyc deleted file mode 100644 index 02b1552..0000000 Binary files a/auto_search_corrected/azimuth/metrics.pyc and /dev/null differ diff --git a/auto_search_corrected/azimuth/model_comparison.py b/auto_search_corrected/azimuth/model_comparison.py deleted file mode 100644 index 799afbc..0000000 --- a/auto_search_corrected/azimuth/model_comparison.py +++ /dev/null @@ -1,647 +0,0 @@ -import azimuth.predict as pd -import copy -import os -import numpy as np -import azimuth.util -import shutil -import pickle -import pylab as plt -import pandas -import azimuth.local_multiprocessing -import azimuth.load_data -import azimuth.features.featurization as feat - -def check_feature_set_dims(feature_sets): - F2 = None - for set in feature_sets.keys(): - F = feature_sets[set].shape[0] - if F2 is None: F = F2 - assert F == F2, "not same # individuals for feature %s" % set - - assert feature_sets !={}, "features are empty, check learn_options" - - -def set_target(learn_options, classification): - assert 'target_name' not in learn_options.keys() or learn_options['target_name'] is not None, "changed it to be automatically set here" - if not classification: - learn_options["target_name"] = learn_options['rank-transformed target name'] - learn_options["training_metric"] = 'spearmanr' - learn_options['ground_truth_label'] = learn_options['target_name'] - else: - learn_options["target_name"] = learn_options['binary target name'] - learn_options["training_metric"] = 'AUC' - learn_options['ground_truth_label'] = learn_options['binary target name'] - - if learn_options["V"]==3: - assert learn_options['target_name']=='score_drug_gene_rank' or learn_options['target_name']=='score_drug_gene_threshold', "cannot use raw scores when mergind data" - assert learn_options["ground_truth_label"]=='score_drug_gene_rank' or learn_options["ground_truth_label"]=='score_drug_gene_threshold', "cannot use raw scores when mergind data" - - return learn_options - -def GP_setup(learn_options, likelihood='gaussian', degree=3, set_target_fn=set_target): - learn_options["method"] = "GPy" - learn_options['kernel degree'] = degree - - if likelihood == 'warped': - learn_options['warpedGP'] = True - else: - learn_options['warpedGP'] = False - learn_options = set_target_fn(learn_options, classification=False) - - return learn_options - -def SVC_setup(learn_options, likelihood='gaussian', degree=3, set_target_fn=set_target): - learn_options["method"] = "SVC" - learn_options = set_target_fn(learn_options, classification=True) - - return learn_options - -def L1_setup(learn_options, set_target_fn=set_target): - learn_options = set_target_fn(learn_options, classification=False) - learn_options["method"] = "linreg" - learn_options["penalty"] = "L1" - learn_options["feature_select"] = False - if "alpha" not in learn_options.keys(): - learn_options["alpha"] = np.array([1e-6*pow(1.3,x) for x in range(0,100)]) - learn_options["loss"] = "squared" - - return learn_options - -def L2_setup(learn_options, set_target_fn=set_target): - learn_options = set_target_fn(learn_options, classification=False) - learn_options["method"] = "linreg" - learn_options["penalty"] = "L2" - learn_options["feature_select"] = False - if "alpha" not in learn_options.keys(): - learn_options["alpha"] = np.array([1e-6*pow(1.3,x) for x in range(0,100)]) - learn_options["loss"] = "squared" - - return learn_options - -def mean_setup(learn_options, set_target_fn=set_target): - learn_options = set_target_fn(learn_options, classification=False) - learn_options['method'] = 'mean' - return learn_options - -def random_setup(learn_options, set_target_fn=set_target): - learn_options = set_target_fn(learn_options, classification=False) - learn_options['method'] = 'random' - return learn_options - -def elasticnet_setup(learn_options, set_target_fn=set_target): - learn_options = set_target_fn(learn_options, classification=False) - learn_options["method"] = "linreg" - learn_options["penalty"] = "EN" - learn_options["feature_select"] = False - learn_options["loss"] = "squared" - if "alpha" not in learn_options.keys(): - learn_options["alpha"] = np.array([1e-5*pow(2,x) for x in range(0,30)]) - return learn_options - -def DNN_setup(learn_options, set_target_fn=set_target): - learn_options = set_target_fn(learn_options, classification=False) - learn_options['method'] = 'DNN' - learn_options['DNN target variable'] = 'score'#'score_drug_gene_quantized' - # learn_options['DNN architecture'] = (119, 10, 10, 10, 2) - return learn_options - -def RF_setup(learn_options, set_target_fn=set_target): - learn_options = set_target_fn(learn_options, classification=False) - learn_options['method'] = 'RandomForestRegressor' - return learn_options - -def doench_setup(learn_options, set_target_fn=set_target): - learn_options = set_target_fn(learn_options, classification=True) - learn_options['method'] = 'doench' - return learn_options - -def sgrna_from_doench_setup(learn_options, set_target_fn=set_target): - learn_options = set_target_fn(learn_options, classification=False) - learn_options['method'] = 'sgrna_from_doench' - return learn_options - -def linreg_setup(learn_options, set_target_fn=set_target): - learn_options["method"] = "linreg" - learn_options["penalty"] = "L1" - learn_options["feature_select"] = False - if "alpha" not in learn_options.keys(): - learn_options["alpha"] = np.array([0.0]) - learn_options["loss"] = "squared" - learn_options = set_target_fn(learn_options, classification=False) - - return learn_options - -def logregL1_setup(learn_options, set_target_fn=set_target): - learn_options = set_target_fn(learn_options, classification=True) - learn_options["method"] = "logregL1" - learn_options["penalty"] = "L1" - learn_options["feature_select"] = False - if "alpha" not in learn_options.keys(): - learn_options["alpha"] = np.array([1e-6*pow(1.3,x) for x in range(0,100)]) - if not learn_options.has_key("fit_intercept"): - learn_options["fit_intercept"] = True - return learn_options - -def LASSOs_ensemble_setup(learn_options, set_target_fn=set_target): - learn_options = set_target_fn(learn_options, classification=False) - learn_options["method"] = "lasso_ensemble" - learn_options["penalty"] = "L1" - learn_options["feature_select"] = False - if "alpha" not in learn_options.keys(): - learn_options["alpha"] = np.array([1e-6*pow(1.3,x) for x in range(0,100)]) - learn_options["loss"] = "squared" - - return learn_options - -def xu_et_al_setup(learn_options, set_target_fn=set_target): - learn_options = set_target_fn(learn_options, classification=True) - learn_options["method"] = "xu_et_al" - - return learn_options - -def adaboost_setup(learn_options, num_estimators=100, max_depth=3, learning_rate=0.1, set_target_fn=set_target, model="AdaBoost"): - """ - """ - learn_options = set_target_fn(learn_options, classification=False) - if model=="AdaBoost": - learn_options['method'] = "AdaBoostRegressor" - elif model=="AdaBoostClassifier": - learn_options['method'] = "AdaBoostClassifier" - else: - raise Exception("model must be either AdaBoost or AdaBoost Classifier") - learn_options['adaboost_version'] = 'python' # "R" or "python" - - if 'adaboost_loss' not in learn_options.keys() and model=="AdaBoostRegressor": - learn_options['adaboost_loss'] = 'ls' # alternatives: "lad", "huber", "quantile", see scikit docs for details - if 'adaboost_alpha' not in learn_options.keys(): - learn_options['adaboost_alpha'] = 0.5 # this parameter is only used by the huber and quantile loss functions. - - if not learn_options['adaboost_CV']: - learn_options['adaboost_learning_rate'] = learning_rate - learn_options['adaboost_n_estimators'] = num_estimators - learn_options['adaboost_max_depth'] = max_depth - else: - learn_options['adaboost_n_estimators'] = num_estimators - - return learn_options - - -def shared_setup(learn_options, order, test): - if 'num_proc' not in learn_options.keys(): - learn_options['num_proc'] = None - if 'num_thread_per_proc' not in learn_options.keys(): - learn_options['num_thread_per_proc'] = None - - num_proc = azimuth.local_multiprocessing.configure(TEST=test, num_proc=learn_options["num_proc"], - num_thread_per_proc=learn_options["num_thread_per_proc"]) - learn_options["num_proc"] = num_proc - - learn_options["order"] = order # gets used many places in code, not just here - - if "cv" not in learn_options.keys(): - # if no CV preference is specified, use leave-one-gene-out - learn_options["cv"] = "gene" - - if "normalize_features" not in learn_options.keys(): - # if no CV preference is specified, use leave-one-gene-out - learn_options["normalize_features"] = True - - if "weighted" not in learn_options.keys(): - learn_options['weighted'] = None - - if "all pairs" not in learn_options.keys(): - learn_options["all pairs"] = False - - if "include_known_pairs" not in learn_options.keys(): - learn_options["include_known_pairs"] = False - - if "include_gene_guide_feature" not in learn_options.keys(): - learn_options["include_gene_guide_feature"] = 0 #used as window size, so 0 is none - - #these should default to true to match experiments before they were options: - if "gc_features" not in learn_options.keys(): - learn_options["gc_features"] = True - if "nuc_features" not in learn_options.keys(): - learn_options["nuc_features"] = True - - if 'train_genes' not in learn_options.keys(): - learn_options["train_genes"] = None - if 'test_genes' not in learn_options.keys(): - learn_options["test_genes"] = None - - if "num_proc" not in learn_options: - learn_options["num_proc"] = None - if "num_thread_per_proc" not in learn_options: - learn_options["num_thread_per_proc"] = None - - if 'seed' not in learn_options: - learn_options['seed'] = 1 - - if "flipV1target" not in learn_options: - learn_options["flipV1target"] = False - - if 'num_genes_remove_train' not in learn_options: - learn_options['num_genes_remove_train'] = None - - if "include_microhomology" not in learn_options: - learn_options["include_microhomology"] = False - - if "algorithm_hyperparam_search" not in learn_options: - learn_options["algorithm_hyperparam_search"] = "grid" # other options is bo for bayesian optimization - - return num_proc - -def setup(test=False, order=1, learn_options=None, data_file=None, pam_audit=True, length_audit=True): - - num_proc = shared_setup(learn_options, order, test) - - assert "testing_non_binary_target_name" in learn_options.keys(), "need this in order to get metrics, though used to be not needed, so you may newly see this error" - if learn_options["testing_non_binary_target_name"] not in ['ranks', 'raw', 'thrs']: - raise Exception('learn_otions["testing_non_binary_target_name"] must be in ["ranks", "raw", "thrs"]') - - Xdf, Y, gene_position, target_genes = azimuth.load_data.from_file(data_file, learn_options) - learn_options['all_genes'] = target_genes - - if test: - learn_options["order"] = 1 - - if 'convert_30mer_to_31mer' in learn_options and learn_options['convert_30mer_to_31mer'] is True: - print("WARNING!!! converting 30 mer to 31 mer (and then cutting off first nucleotide to go back to 30mer with a right shift)") - for i in range(Xdf.shape[0]): - Xdf['30mer'].iloc[i] = azimuth.util.convert_to_thirty_one(Xdf.iloc[i]["30mer"], Xdf.index.values[i][1], Xdf.iloc[i]["Strand"]) - # to_keep = Xdf['30mer'].isnull() == False - # Xdf = Xdf[to_keep] - # gene_position = gene_position[to_keep] - # Y = Y[to_keep] - Xdf["30mer"] = Xdf["30mer"].apply(lambda x: x[1:]) # chop the first nucleotide - - if learn_options.has_key('left_right_guide_ind') and learn_options['left_right_guide_ind'] is not None: - seq_start, seq_end, expected_length = learn_options['left_right_guide_ind'] - assert len(Xdf["30mer"].values[0]) == expected_length - Xdf['30mer'] = Xdf['30mer'].apply(lambda seq: seq[seq_start:seq_end]) - - feature_sets = feat.featurize_data(Xdf, learn_options, Y, gene_position, pam_audit=pam_audit, length_audit=length_audit) - np.random.seed(learn_options['seed']) - - return Y, feature_sets, target_genes, learn_options, num_proc - - -def run_models(models, orders, GP_likelihoods=['gaussian', 'warped'], WD_kernel_degrees=[3], - adaboost_learning_rates=[0.1], adaboost_num_estimators=[100], adaboost_max_depths=[3], - learn_options_set=None, test=False, CV=True, setup_function=setup, set_target_fn=set_target, pam_audit=True, length_audit=True, return_data=False): - - ''' - CV is set to false if want to train a final model and not cross-validate, but it goes in to what - looks like cv code - ''' - - - results = {} - assert learn_options_set is not None, "need to specify learn_options_set" - all_learn_options = {} - - #shorten so easier to display on graphs - feat_models_short = {'L1':"L1", 'L2':"L2", 'elasticnet':"EN", 'linreg':"LR", - 'RandomForest': "RF", - 'AdaBoost':"AB", 'AdaBoostClassifier':"ABClass", 'doench': 'doench', - "logregL1": "logregL1", "sgrna_from_doench":"sgrna_from_doench", 'SVC': 'SVC', 'xu_et_al': 'xu_et_al'} - - if not CV: - print("Received option CV=False, so I'm training using all of the data") - assert len(learn_options_set.keys()) == 1, "when CV is False, only 1 set of learn options is allowed" - assert len(models) == 1, "when CV is False, only 1 model is allowed" - - - for learn_options_str in learn_options_set.keys(): - # these options get augmented in setup - partial_learn_opt = learn_options_set[learn_options_str] - # if the model requires encoded features - for model in models: - # models requiring explicit featurization - if model in feat_models_short.keys(): - for order in orders: - print("running %s, order %d for %s" % (model, order, learn_options_str)) - - Y, feature_sets, target_genes, learn_options, num_proc = setup_function(test=test, order=order, learn_options=partial_learn_opt, pam_audit=pam_audit, length_audit=length_audit) # TODO precompute features for all orders, as this is repated for each model - - if model == 'L1': - learn_options_model = L1_setup(copy.deepcopy(learn_options), set_target_fn=set_target_fn) - elif model == 'L2': - learn_options_model = L2_setup(copy.deepcopy(learn_options), set_target_fn=set_target_fn) - elif model == 'elasticnet': - learn_options_model = elasticnet_setup(copy.deepcopy(learn_options), set_target_fn=set_target_fn) - elif model == 'linreg': - learn_options_model = linreg_setup(copy.deepcopy(learn_options), set_target_fn=set_target_fn) - elif model == "logregL1": - learn_options_model = logregL1_setup(copy.deepcopy(learn_options), set_target_fn=set_target_fn) - elif model == 'RandomForest': - learn_options_model = RF_setup(copy.deepcopy(learn_options), set_target_fn=set_target_fn) - elif model == 'SVC': - learn_options_model = SVC_setup(copy.deepcopy(learn_options), set_target_fn=set_target_fn) - elif model == 'doench': - learn_options_model = doench_setup(copy.deepcopy(learn_options), set_target_fn=set_target_fn) - elif model == 'sgrna_from_doench': - learn_options_model = sgrna_from_doench_setup(copy.deepcopy(learn_options), set_target_fn=set_target_fn) - elif model == 'xu_et_al': - learn_options_model = xu_et_al_setup(copy.deepcopy(learn_options), set_target_fn=set_target_fn) - elif model == 'AdaBoost' or 'AdaBoostClassifier': - for learning_rate in adaboost_learning_rates: - for num_estimators in adaboost_num_estimators: - for max_depth in adaboost_max_depths: - learn_options_model = adaboost_setup(copy.deepcopy(learn_options), learning_rate=learning_rate, num_estimators=num_estimators, max_depth=max_depth, set_target_fn=set_target_fn, model=model) - model_string = feat_models_short[model] + '_or%d_md%d_lr%.2f_n%d_%s' % (learn_options_set[learn_options_str]["order"], max_depth, learning_rate, num_estimators, learn_options_str) - if model != 'AdaBoost': - model_string = feat_models_short[model] + '_ord%d_%s' % (learn_options_set[learn_options_str]["order"], learn_options_str) - - results[model_string] = pd.cross_validate(Y, feature_sets, learn_options=learn_options_model, TEST=test, CV=CV) - - all_learn_options[model_string] = learn_options_model - # if the model doesn't require explicit featurization - else: - assert setup_fn==setup, "not yet modified to handle this" - print("running %s for %s" % (model, learn_options_str)) - Y, feature_sets, target_genes, learn_options, num_proc = setup(test=test, order=1, learn_options=partial_learn_opt, pam_audit=pam_audit, length_audit=length_audit) - if model == 'mean': - learn_options_model = mean_setup(copy.deepcopy(learn_options)) - elif model == 'random': - learn_options_model = random_setup(copy.deepcopy(learn_options)) - elif model == 'DNN': - learn_options_model = DNN_setup(copy.deepcopy(learn_options)) - elif model == 'GP': - for likelihood in GP_likelihoods: - for degree in WD_kernel_degrees: - learn_options_model = GP_setup(copy.deepcopy(learn_options), likelihood=likelihood, degree=degree) - model_string = '%s_%s_degree%d_%s' % (model, likelihood, degree, learn_options_str) - results[model_string] = pd.cross_validate(Y, feature_sets, learn_options=learn_options_model,TEST=test, CV=CV) - - else: - raise NotImplementedError("model %s not supported" % model) - - # "GP" already calls pd.cross_validate() and has its own model_string, so skip this. - if model != "GP": - model_string = model + '_%s' % learn_options_str - results[model_string] = pd.cross_validate(Y, feature_sets, learn_options=learn_options_model, TEST=test, CV=CV) - - all_learn_options[model_string] = learn_options_model - - return results, all_learn_options - - -def pickle_runner_results(exp_name, results, all_learn_options, relpath="/../" + "results"): - abspath = os.path.abspath(__file__) - dname = os.path.dirname(abspath) + relpath - if not os.path.exists(dname): - os.makedirs(dname) - print("Created directory: %s" % str(dname)) - if exp_name is None: - exp_name = results.keys()[0] - myfile = dname+'/'+ exp_name + '.pickle' - with open(myfile, 'wb') as f: - print("writing results to %s" % myfile) - pickle.dump((results, all_learn_options), f, -1) - -def runner(models, learn_options, GP_likelihoods=None, orders=None, WD_kernel_degrees=None, where='local', cluster_user='fusi', cluster='RR1-N13-09-H44', test=False, exp_name = None, **kwargs): - - if where == 'local': - results, all_learn_options = run_models(models, orders=orders, GP_likelihoods=GP_likelihoods, learn_options_set=learn_options, WD_kernel_degrees=WD_kernel_degrees, test=test, **kwargs) - all_metrics, gene_names = azimuth.util.get_all_metrics(results, learn_options) - azimuth.util.plot_all_metrics(all_metrics, gene_names, all_learn_options, save=True) - - # for non-local (i.e. cluster), the comparable code is in cli_run_model.py - pickle_runner_results(exp_name, results, all_learn_options) - - return results, all_learn_options, all_metrics, gene_names - - elif where == 'cluster': - import cluster_job - - # create random cluster directory, dump learn options, and create cluster file - tempdir, user, clust_filename = cluster_job.create(cluster_user, models, orders, WD_kernel_degrees, GP_likelihoods, exp_name=exp_name, learn_options=learn_options, **kwargs) - - # raw_input("Submit job to HPC and press any key when it's finished: ") - # util.plot_cluster_results(directory=tempdir) - - #stdout = tempdir + r"/stdout" - #stderr = tempdir + r"/stderr" - #if not os.path.exists(stdout): os.makedirs(stdout) - #if not os.path.exists(stderr): os.makedirs(stderr) - - return tempdir, clust_filename, user#, stdout, stderr - -def save_final_model_V3(filename=None, include_position=True, learn_options=None, short_name='final', pam_audit=True, length_audit=True): - ''' - run_models(produce_final_model=True) is what saves the model - ''' - test = False - assert filename is not None, "need to provide filename to save final model" - - if learn_options is None: - if include_position: - learn_options = {"V": 3, - 'train_genes': azimuth.load_data.get_V3_genes(), - 'test_genes': azimuth.load_data.get_V3_genes(), - "testing_non_binary_target_name": 'ranks', - 'include_pi_nuc_feat': True, - "gc_features": True, - "nuc_features": True, - "include_gene_position": True, - "include_NGGX_interaction": True, - "include_Tm": True, - "include_strand": False, - "include_gene_feature": False, - "include_gene_guide_feature": 0, - "extra pairs": False, - "weighted": None, - "training_metric": 'spearmanr', - "NDGC_k": 10, - "cv": "gene", - "include_gene_effect": False, - "include_drug": False, - "include_sgRNAscore": False, - 'adaboost_loss' : 'ls', # main "ls", alternatives: "lad", "huber", "quantile", see scikit docs for details - 'adaboost_alpha': 0.5, # this parameter is only used by the huber and quantile loss functions. - 'normalize_features': False, - 'adaboost_CV' : False - } - else: - learn_options = {"V": 3, - 'train_genes': azimuth.load_data.get_V3_genes(), - 'test_genes': azimuth.load_data.get_V3_genes(), - "testing_non_binary_target_name": 'ranks', - 'include_pi_nuc_feat': True, - "gc_features": True, - "nuc_features": True, - "include_gene_position": False, - "include_NGGX_interaction": True, - "include_Tm": True, - "include_strand": False, - "include_gene_feature": False, - "include_gene_guide_feature": 0, - "extra pairs": False, - "weighted": None, - "training_metric": 'spearmanr', - "NDGC_k": 10, - "cv": "gene", - "include_gene_effect": False, - "include_drug": False, - "include_sgRNAscore": False, - 'adaboost_loss' : 'ls', # main "ls", alternatives: "lad", "huber", "quantile", see scikit docs for details - 'adaboost_alpha': 0.5, # this parameter is only used by the huber and quantile loss functions. - 'normalize_features': False, - 'adaboost_CV' : False - } - - learn_options_set = {short_name: learn_options} - results, all_learn_options = run_models(["AdaBoost"], orders=[2], adaboost_learning_rates=[0.1], - adaboost_max_depths=[3], adaboost_num_estimators=[100], - learn_options_set=learn_options_set, - test=test, CV=False, pam_audit=length_audit, length_audit=length_audit) - model = results.values()[0][3][0] - - with open(filename, 'wb') as f: - pickle.dump((model, learn_options), f, -1) - - return model - - -def predict(seq, aa_cut=-1, percent_peptide=-1, model=None, model_file=None, pam_audit=True, length_audit=False, learn_options_override=None): - """ - if pam_audit==False, then it will not check for GG in the expected position - this is useful if predicting on PAM mismatches, such as with off-target - """ - # assert not (model is None and model_file is None), "you have to specify either a model or a model_file" - assert isinstance(seq, (np.ndarray)), "Please ensure seq is a numpy array" - assert len(seq[0]) > 0, "Make sure that seq is not empty" - assert isinstance(seq[0], str), "Please ensure input sequences are in string format, i.e. 'AGAG' rather than ['A' 'G' 'A' 'G'] or alternate representations" - - if aa_cut is not None: - assert len(aa_cut) > 0, "Make sure that aa_cut is not empty" - assert isinstance(aa_cut, (np.ndarray)), "Please ensure aa_cut is a numpy array" - assert np.all(np.isreal(aa_cut)), "amino-acid cut position needs to be a real number" - - if percent_peptide is not None: - assert len(percent_peptide) > 0, "Make sure that percent_peptide is not empty" - assert isinstance(percent_peptide, (np.ndarray)), "Please ensure percent_peptide is a numpy array" - assert np.all(np.isreal(percent_peptide)), "percent_peptide needs to be a real number" - - - if model_file is None: - azimuth_saved_model_dir = os.path.join(os.path.dirname(azimuth.__file__), 'saved_models') - #print(azimuth_saved_model_dir) - if np.any(percent_peptide == -1) or (percent_peptide is None and aa_cut is None): - #print("No model file specified, using V3_model_nopos") - model_name = 'V3_model_nopos.pickle' - else: - #print("No model file specified, using V3_model_full") - model_name = 'V3_model_full.pickle' - - model_file = os.path.join(azimuth_saved_model_dir, model_name) - - if model is None: - with open(model_file, 'rb') as f: - model, learn_options = pickle.load(f) - else: - model, learn_options = model - - learn_options["V"] = 2 - - learn_options = override_learn_options(learn_options_override, learn_options) - - # Y, feature_sets, target_genes, learn_options, num_proc = setup(test=False, order=2, learn_options=learn_options, data_file=test_filename) - # inputs, dim, dimsum, feature_names = pd.concatenate_feature_sets(feature_sets) - - Xdf = pandas.DataFrame(columns=[u'30mer', u'Strand'], data=zip(seq, ['NA' for x in range(len(seq))])) - - if np.all(percent_peptide != -1) and (percent_peptide is not None and aa_cut is not None): - gene_position = pandas.DataFrame(columns=[u'Percent Peptide', u'Amino Acid Cut position'], data=zip(percent_peptide, aa_cut)) - else: - gene_position = pandas.DataFrame(columns=[u'Percent Peptide', u'Amino Acid Cut position'], data=zip(np.ones(seq.shape[0])*-1, np.ones(seq.shape[0])*-1)) - - feature_sets = feat.featurize_data(Xdf, learn_options, pandas.DataFrame(), gene_position, pam_audit=pam_audit, length_audit=length_audit) - inputs, dim, dimsum, feature_names = azimuth.util.concatenate_feature_sets(feature_sets) - - #print "CRISPR" - #pandas.DataFrame(inputs).to_csv("CRISPR.inputs.test.csv") - #import ipdb; ipdb.set_trace() - - # call to scikit-learn, returns a vector of predicted values - preds = model.predict(inputs) - - # also check that predictions are not 0/1 from a classifier.predict() (instead of predict_proba() or decision_function()) - unique_preds = np.unique(preds) - ok = False - for pr in preds: - if pr not in [0,1]: - ok = True - assert ok, "model returned only 0s and 1s" - return preds - -def override_learn_options(learn_options_override, learn_options): - """ - override all keys seen in learn_options_override to alter learn_options - """ - if learn_options_override is not None: - for k in learn_options_override.keys(): - learn_options[k] = learn_options_override[k] - return learn_options - -def fill_learn_options(learn_options_used_to_fill, learn_options_with_possible_missing): - """ - only fill in keys that are missing from learn_options from learn_options_fill - """ - if learn_options_used_to_fill is not None: - for k in learn_options_used_to_fill.keys(): - if not learn_options_with_possible_missing.has_key(k): - learn_options_with_possible_missing[k] = learn_options_used_to_fill[k] - return learn_options_with_possible_missing - - -def write_results(predictions, file_to_predict): - newfile = file_to_predict.replace(".csv", ".pred.csv") - data = pandas.read_csv(file_to_predict) - data['predictions'] = predictions - data.to_csv(newfile) - print("wrote results to %s" % newfile) - return data, newfile - -if __name__ == '__main__': - #save_final_model_V3(filename='azimuth/azure_models/V3_model_full.pickle', include_position=True) - - save_final_model_V3(filename='saved_models/V3_model_nopos.pickle', include_position=False) - save_final_model_V3(filename='saved_models/V3_model_full.pickle', include_position=True) - - # predict('GGGCCGCTGTTGCAGGTGGCGGGTAGGATC', 'sense', 1200, 30.3, model_file='../saved_models/final_model_nicolo.pickle') - - - learn_options = {"V": 3, - "train_genes": azimuth.load_data.get_V3_genes(), - "test_genes": azimuth.load_data.get_V3_genes(), - "target_name": 'score_drug_gene_rank', - "testing_non_binary_target_name": 'ranks', - 'include_pi_nuc_feat': True, - "gc_features": True, - "nuc_features": True, - "include_gene_position": True, - "include_NGGX_interaction": True, - "include_Tm": True, - "include_strand": False, - "include_gene_feature": False, - "include_gene_guide_feature": 0, - "extra pairs": False, - "weighted": None, - "training_metric": 'spearmanr', - "NDGC_k": 10, - "cv": "gene", - "adaboost_loss" : 'ls', - "include_gene_effect": False, - "include_drug": False, - "include_sgRNAscore": False, - 'adaboost_loss' : 'ls', # main "ls", alternatives: "lad", "huber", "quantile", see scikit docs for details - 'adaboost_alpha': 0.5, # this parameter is only used by the huber and quantile loss functions. - 'adaboost_CV' : False - } - - learn_options_set = {"post bug fix":learn_options} - - #runner(['AdaBoost'], learn_options_set, orders=[2], where='local', adaboost_learning_rates=[0.1], adaboost_max_depths=[3], adaboost_num_estimators=[100], exp_name='post-index-fix') -# #util.feature_importances(results) diff --git a/auto_search_corrected/azimuth/model_comparison.pyc b/auto_search_corrected/azimuth/model_comparison.pyc deleted file mode 100644 index c8edc3c..0000000 Binary files a/auto_search_corrected/azimuth/model_comparison.pyc and /dev/null differ diff --git a/auto_search_corrected/azimuth/models/DNN.py b/auto_search_corrected/azimuth/models/DNN.py deleted file mode 100644 index c7c8b8c..0000000 --- a/auto_search_corrected/azimuth/models/DNN.py +++ /dev/null @@ -1,74 +0,0 @@ -import numpy as np -import scipy as sp -import sklearn - -def DNN_on_fold(feature_sets, train, test, y, y_all, X, dim, dimsum, learn_options): - import theanets - from sklearn.metrics import accuracy_score - y = np.array(y_all[learn_options['DNN target variable']].values, dtype=float) - y_train, X_train = y[train][:, None], X[train] - y_test, X_test = y[test][:, None], X[test] - - num_hidden_layers = [1]#, 2, 3] - num_units = [2]#, 5, 8, 10, 15, 20, 25, 30, 40, 50, 60] - accuracies = np.zeros((len(num_hidden_layers), len(num_units))) - best_score = None - best_model = None - - for i, hl in enumerate(num_hidden_layers): - for j, nu in enumerate(num_units): - architecture = np.zeros((2+hl,)) - architecture[0] = X_train.shape[1] - architecture[-1] = 1#len(np.unique(y_train)) - architecture[1:-1] = [nu for l in range(hl)] - - if learn_options["cv"] == "stratified": - label_encoder = sklearn.preprocessing.LabelEncoder() - label_encoder.fit(y_all['Target gene'].values[train]) - gene_classes = label_encoder.transform(y_all['Target gene'].values[train]) - n_folds = len(np.unique(gene_classes)) - cv = sklearn.cross_validation.StratifiedKFold(gene_classes, n_folds=n_folds, shuffle=True) - elif learn_options["cv"]=="gene": - gene_list = np.unique(y_all['Target gene'].values[train]) - cv = [] - for gene in gene_list: - cv.append(get_train_test(gene, y_all[train])) - n_folds = len(cv) - - - for train_ind, valid_ind in cv: - # e = theanets.Experiment( - # theanets.Classifier, - # layers=architecture, - # train_batches=32, - # # patience=100, - # # tied_weights=False, - # ) - - e = theanets.Experiment( - theanets.Regressor, - layers=architecture, - train_batches=32, - # patience=100, - # tied_weights=False, - ) - - e.run((X_train[train_ind], y_train[train_ind]), (X_train[valid_ind], y_train[valid_ind])) - pred = e.network.predict(X_train[valid_ind]) - - accuracies[i, j] += sp.stats.spearmanr(pred.flatten(), y_train[valid_ind].flatten())[0] - - accuracies[i, j] = accuracies[i, j]/float(n_folds) - - - if best_score is None or accuracies[i, j] > best_score: - best_score = accuracies[i, j] - best_model = copy.deepcopy(e) - print ("DNN with %d hidden layers and %d units, accuracy: %.4f *" % (hl, nu, accuracies[i,j])) - else: - print ("DNN with %d hidden layers and %d units, accuracy: %.4f" % (hl, nu, accuracies[i,j])) - - best_model.run((X_train, y_train), (X_test, y_test)) - y_pred = best_model.network.predict(X[test]) - - return y_pred, None \ No newline at end of file diff --git a/auto_search_corrected/azimuth/models/DNN.pyc b/auto_search_corrected/azimuth/models/DNN.pyc deleted file mode 100644 index 4eb3d49..0000000 Binary files a/auto_search_corrected/azimuth/models/DNN.pyc and /dev/null differ diff --git a/auto_search_corrected/azimuth/models/GP.py b/auto_search_corrected/azimuth/models/GP.py deleted file mode 100644 index 7d53520..0000000 --- a/auto_search_corrected/azimuth/models/GP.py +++ /dev/null @@ -1,114 +0,0 @@ -import numpy as np -import matplotlib.pyplot as plt - - -def gp_on_fold(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options): - import GPy - from models.gpy_ssk import WeightedDegree - - sequences = np.array([str(x) for x in y_all.index.get_level_values(0).tolist()]) - - kern = WeightedDegree(1, sequences, d=learn_options['kernel degree'], active_dims=[0]) - X = np.arange(len(train))[:, None] - - current_dim = 1 - - if 'gc_count' in feature_sets: - kern += GPy.kern.RBF(1, active_dims=[current_dim], name='GC_rbf') - X = np.concatenate((X, feature_sets['gc_count'].values), axis=1) - current_dim += 1 - assert X.shape[1] == current_dim - - if 'drug' in feature_sets: - Q = feature_sets['drug'].values.shape[1] - kern += GPy.kern.Linear(Q, active_dims=range(current_dim, current_dim+Q), name='drug_lin') - X = np.concatenate((X, feature_sets['drug'].values), axis=1) - current_dim += Q - assert X.shape[1] == current_dim - - if 'gene effect' in feature_sets: - Q = feature_sets['gene effect'].values.shape[1] - kern += GPy.kern.Linear(Q, active_dims=range(current_dim, current_dim+Q), name='gene_lin') - X = np.concatenate((X, feature_sets['gene effect'].values), axis=1) - current_dim += Q - assert X.shape[1] == current_dim - - if "Percent Peptide" in feature_sets: - Q = feature_sets['Percent Peptide'].values.shape[1] - kern += GPy.kern.RBF(Q, active_dims=range(current_dim, current_dim+Q), name='percent_pept') - X = np.concatenate((X, feature_sets['Percent Peptide'].values), axis=1) - current_dim += Q - assert X.shape[1] == current_dim - - if "Nucleotide cut position" in feature_sets: - Q = feature_sets['Nucleotide cut position'].values.shape[1] - kern += GPy.kern.RBF(Q, active_dims=range(current_dim, current_dim+Q), name='nucleo_cut') - X = np.concatenate((X, feature_sets['Nucleotide cut position'].values), axis=1) - current_dim += Q - assert X.shape[1] == current_dim - - if "Strand effect" in feature_sets: - Q = feature_sets['Strand effect'].values.shape[1] - kern += GPy.kern.Linear(Q, active_dims=range(current_dim, current_dim+Q), name='strand') - X = np.concatenate((X, feature_sets['Strand effect'].values), axis=1) - current_dim += Q - assert X.shape[1] == current_dim - - if "NGGX" in feature_sets: - Q = feature_sets['NGGX'].values.shape[1] - kern += GPy.kern.Linear(Q, active_dims=range(current_dim, current_dim+Q), name='NGGX') - X = np.concatenate((X, feature_sets['NGGX'].values), axis=1) - current_dim += Q - assert X.shape[1] == current_dim - - if "TM" in feature_sets: - Q = feature_sets['TM'].values.shape[1] - kern += GPy.kern.RBF(Q, ARD=True, active_dims=range(current_dim, current_dim+Q), name='TM') - X = np.concatenate((X, feature_sets['TM'].values), axis=1) - current_dim += Q - assert X.shape[1] == current_dim - - if "gene features" in feature_sets: - Q = feature_sets['gene features'].values.shape[1] - kern += GPy.kern.Linear(Q, ARD=True, active_dims=range(current_dim, current_dim+Q), name='genefeat') - X = np.concatenate((X, feature_sets['gene features'].values), axis=1) - current_dim += Q - assert X.shape[1] == current_dim - - kern += GPy.kern.Bias(X.shape[1]) - - if learn_options['warpedGP']: - m = GPy.models.WarpedGP(X[train], y[train], kernel=kern) - else: - m = GPy.models.GPRegression(X[train], y[train], kernel=kern) - - - if False: # debug plots - m.optimize_restarts(3, messages=1) - y_pred, y_uncert = m.predict(X[test]) - - plt.figure('residuals') - plt.title('residuals') - plt.hist(y_pred.flatten()-y[test].flatten(), bins=50) - - plt.figure('predictions') - plt.title('predictions') - plt.errorbar(y_pred.flatten(), y[test].flatten(), yerr=np.sqrt(y_uncert.flatten()), fmt='o') - plt.xlabel('prediction') - plt.ylabel('truth') - - plt.figure('kernel') - plt.title('kernel') - plt.imshow(m.kern.K(X,X)) - print m - print "%.3f variance explained" % (m.Gaussian_noise.variance/y[train].var()) - import ipdb; ipdb.set_trace() - plt.close('all') - else: - m.optimize_restarts(3) - # m.optimize(messages=1) - y_pred, y_uncert = m.predict(X[test]) - - # TODO add offset such that low scores are around 0 (not -4 or so) - - return y_pred, m[:] diff --git a/auto_search_corrected/azimuth/models/__init__.py 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deleted file mode 100644 index a876d2a..0000000 --- a/auto_search_corrected/azimuth/models/baselines.py +++ /dev/null @@ -1,97 +0,0 @@ -import numpy as np -import sklearn -from sklearn.svm import LinearSVC -from sklearn.linear_model import LogisticRegression -import sklearn.linear_model -import pandas - -def mean_on_fold(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options): - return np.ones((test.sum(), 1))*y[train].mean(), None - - -def random_on_fold(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options): - return np.random.randn(test.sum(), 1), None - - -def xu_et_al_on_fold(feature_sets, train, test, y, y_all, X, dim, dimsum, learn_options): - coef = pandas.read_csv(learn_options['xu_matrix_file'], skiprows=1, delimiter='\t') - coef = coef[['A', 'T', 'C', 'G']] # swap columns so that they are in correct order - coef = coef.values.flatten()[:, None] - X = X.copy() - X = np.append(X, np.zeros((X.shape[0], 3*4)), axis=1) - X = X[:, 3*4:] - y_pred = 1./(1+np.exp(-np.dot(X[test], coef))) - - return y_pred, coef - -def doench_on_fold(feature_sets, train, test, y, y_all, X, dim, dimsum, learn_options): - auto_class_weight = None # 'auto'/None - verbose = False - penalty = [0.005*pow(1.15, x) for x in range(0, 45)] # ian's code: tvals = [0.005*pow(1.15,x) for x in range(0,45)] - y_bin = y_all[learn_options['binary target name']].values[:, None] - - label_encoder = sklearn.preprocessing.LabelEncoder() - label_encoder.fit(y_all['Target gene'].values[train]) - gene_classes = label_encoder.transform(y_all['Target gene'].values[train]) - cv = sklearn.cross_validation.StratifiedKFold(gene_classes, n_folds=10, shuffle=True) - - best_penalty = None - - cv_results = np.zeros((10, len(penalty))) - - for j, split in enumerate(cv): - train_inner, test_inner = split - for i, c in enumerate(penalty): - # fit an L1-penalized SVM classifier - clf = LinearSVC(penalty='l1', C=c, dual=False, class_weight=auto_class_weight) - clf.fit(X[train][train_inner], y_bin[train][train_inner].flatten()) - - # pass features with non-zero coeff to Logistic with l2 penalty (original code?) - non_zero_coeff = (clf.coef_ != 0.0) - - if np.all(non_zero_coeff is False): - # if all are zero, turn one on so as to be able to run the code. - non_zero_coeff[0] = True - - clf = LogisticRegression(penalty='l2', class_weight=auto_class_weight) - clf.fit(X[train][train_inner][:, non_zero_coeff.flatten()], y[train][train_inner].flatten()) - y_test = clf.predict_proba(X[train][test_inner][:, non_zero_coeff.flatten()])[:, 1] - - fpr, tpr, _ = sklearn.metrics.roc_curve(y_bin[train][test_inner], y_test) - assert np.nan not in fpr, "found nan fpr" - assert np.nan not in tpr, "found nan tpr" - roc_auc = sklearn.metrics.auc(fpr, tpr) - if verbose: - print (j, i, roc_auc) - cv_results[j][i] = roc_auc - - best_penalty = penalty[np.argmax(np.mean(cv_results, axis=0))] - print ("best AUC for penalty: ", np.median(cv_results, axis=0)) - clf = LinearSVC(penalty='l1', C=best_penalty, dual=False, class_weight=auto_class_weight) - clf.fit(X[train], y_bin[train].flatten()) - non_zero_coeff = (clf.coef_ != 0.0) - - clf = LogisticRegression(penalty='l2', class_weight=auto_class_weight) - clf.fit(X[train][:, non_zero_coeff.flatten()], y[train].flatten()) - y_pred = clf.predict_proba(X[test][:, non_zero_coeff.flatten()])[:, 1:2] - - return y_pred, clf - - -def sgrna_from_doench_on_fold(feature_sets, train, test, y, y_all, X, dim, dimsum, learn_options): - assert len(feature_sets.keys()) == 1, "should only use sgRNA Score here" - assert feature_sets.keys()[0] == "sgRNA Score" - y_pred = X[test][:, 0] - return y_pred, None - - -def SVC_on_fold(feature_sets, train, test, y, y_all, X, dim, dimsum, learn_options): - y_bin = y_all[learn_options['binary target name']].values[:, None] - clf = LinearSVC(penalty='l2', dual=False) - clf.fit(X[train], y_bin[train].flatten()) - #y_pred = clf.predict(X[test])[:, None] # this returns 0/1 - y_pred = clf.decision_function(X[test])[:, None] - return y_pred, clf - - - diff --git a/auto_search_corrected/azimuth/models/baselines.pyc b/auto_search_corrected/azimuth/models/baselines.pyc deleted file mode 100644 index bc794aa..0000000 Binary files a/auto_search_corrected/azimuth/models/baselines.pyc and /dev/null differ diff --git a/auto_search_corrected/azimuth/models/ensembles.py b/auto_search_corrected/azimuth/models/ensembles.py deleted file mode 100644 index d308daf..0000000 --- a/auto_search_corrected/azimuth/models/ensembles.py +++ /dev/null @@ -1,214 +0,0 @@ -import numpy as np -import sklearn.linear_model -import sklearn.ensemble as en -#from sklearn.grid_search import GridSearchCV #py2 -from sklearn.model_selection import GridSearchCV #py3 -import sklearn -from sklearn.linear_model import LinearRegression -import scipy as sp -from .regression import linreg_on_fold -import sklearn -import sklearn.tree as tree -from sklearn import svm -#from sklearn.grid_search import GridSearchCV -#from sklearn.cross_validation import cross_val_score #py2 -from sklearn.model_selection import cross_val_score #py3 - -def spearman_scoring(clf, X, y): - y_pred = clf.predict(X).flatten() - return sp.stats.spearmanr(y_pred, y.flatten())[0] - - - -def adaboost_on_fold(feature_sets, train, test, y, y_all, X, dim, dimsum, learn_options, classification=False): - ''' - AdaBoostRegressor/Classifier from scikitlearn. - ''' - - if learn_options['adaboost_version'] == 'python': - if not learn_options['adaboost_CV']: - if not classification: - clf = en.GradientBoostingRegressor(loss=learn_options['adaboost_loss'], learning_rate=learn_options['adaboost_learning_rate'], - n_estimators=learn_options['adaboost_n_estimators'], - alpha=learn_options['adaboost_alpha'], - subsample=1.0, min_samples_split=2, min_samples_leaf=1, max_depth=learn_options['adaboost_max_depth'], - init=None, max_features=None, - verbose=0, max_leaf_nodes=None, warm_start=False, random_state=learn_options['seed']) - else: - clf = en.GradientBoostingClassifier(learning_rate=learn_options['adaboost_learning_rate'], - n_estimators=learn_options['adaboost_n_estimators'], - subsample=1.0, min_samples_split=2, min_samples_leaf=1, max_depth=learn_options['adaboost_max_depth'], - init=None, max_features=None, - verbose=0, max_leaf_nodes=None, warm_start=False, random_state=learn_options['seed']) - - clf.fit(X[train], y[train].flatten()) - y_pred = clf.predict(X[test])[:, None] - else: # optimize the parameters if the adaboosted algorithm - - if learn_options["algorithm_hyperparam_search"]=="bo": - print - - from hyperopt import hp, fmin, tpe, rand - - def adaboost_scoring_bo(params): - # label_encoder = sklearn.preprocessing.LabelEncoder() - # label_encoder.fit(y_all['Target gene'].values[train]) - # gene_classes = label_encoder.transform(y_all['Target gene'].values[train]) - # n_folds = len(np.unique(gene_classes)) - cv = sklearn.cross_validation.KFold(y_all['Target gene'].values[train].shape[0], n_folds=20, shuffle=True) - est = en.GradientBoostingRegressor(n_estimators=1000, learning_rate=params['learning_rate'], max_depth=params['max_depth'], - min_samples_leaf=params['min_samples_leaf'], max_features=params['max_features'], random_state=learn_options['seed']) - scorer = cross_val_score(est, X[train], y[train].flatten(), cv=cv, n_jobs=20) - return np.median(scorer) - space = { - 'learning_rate': hp.uniform('learning_rate', 0.001, 0.1), - 'max_depth': hp.quniform('max_depth', 1, 8, 1), - 'min_samples_leaf': hp.quniform('min_samples_leaf', 3, 20, 1), - 'max_features': hp.uniform('max_features', 0.05, 1.0)} - - best = fmin(adaboost_scoring_bo, space, algo=tpe.suggest, max_evals=50, verbose=1) - print (best) - clf = en.GradientBoostingRegressor(n_estimators=learn_options['adaboost_n_estimators'], - learning_rate=best['learning_rate'], - max_depth=best['max_depth'], - min_samples_leaf=best['min_samples_leaf'], - max_features=best['max_features'], random_state=learn_options['seed']) - - clf.fit(X[train], y[train].flatten()) - elif learn_options["algorithm_hyperparam_search"]=="grid": - assert not classification, "need to tweak code below to do classificaton, as above" - n_jobs = 20 - - print ("Adaboost with GridSearch") - from sklearn.grid_search import GridSearchCV - param_grid = {'learning_rate': [0.1, 0.05, 0.01], - 'max_depth': [4, 5, 6, 7], - 'min_samples_leaf': [5, 7, 10, 12, 15], - 'n_estimators': [100, 500, 1000, 2000]} - # 'max_features': [1.0, 0.5, 0.3, 0.1]} - # param_grid = {'n_estimators': [100, ] - # 'learning_rate': [0.1, 0.05, 0.001], - # 'max_depth': [4, 7], - # 'min_samples_leaf': [5, 15], - # 'max_features': [1.0, 0.1]} - - - # label_encoder = sklearn.preprocessing.LabelEncoder() - # label_encoder.fit(y_all['Target gene'].values[train]) - # gene_classes = label_encoder.transform(y_all['Target gene'].values[train]) - n_folds = 10 # len(np.unique(gene_classes)) - # cv = sklearn.cross_validation.StratifiedKFold(gene_classes, n_folds=n_folds, shuffle=True) - cv = sklearn.cross_validation.KFold(X[train].shape[0], n_folds=n_folds, shuffle=True) - - est = en.GradientBoostingRegressor(loss=learn_options['adaboost_loss'], random_state=learn_options['seed'])#, n_estimators=learn_options['adaboost_n_estimators']) - clf = GridSearchCV(est, param_grid, n_jobs=n_jobs, verbose=1, cv=cv, scoring=spearman_scoring, iid=False) - clf.fit(X[train], y[train].flatten()) - print (clf.best_params_) - else: - raise Exception("if using adaboost_CV then need to specify grid (grid search) or bo (bayesian optimization)") - - - y_pred = clf.predict(X[test])[:, None] - else: - raise NotImplementedError - - return y_pred, clf - - -def LASSOs_ensemble_on_fold(feature_sets, train, test, y, y_all, X, dim, dimsum, learn_options): - train_indices = np.where(train)[0] - sel = len(train_indices)*0.10 - permuted_ind = np.random.permutation(train_indices) - valid_indices = permuted_ind[:sel] - train_indices = permuted_ind[sel:] - train_sub = np.zeros_like(train, dtype=bool) - valid_sub = np.zeros_like(train, dtype=bool) - train_sub[train_indices] = True - valid_sub[valid_indices] = True - - validations = np.zeros((len(valid_indices), len(feature_sets.keys()))) - predictions = np.zeros((test.sum(), len(feature_sets.keys()))) - - for i, feature_name in enumerate(feature_sets.keys()): - X_feature = feature_sets[feature_name].values - y_pred, m = linreg_on_fold(feature_sets, train_sub, valid_sub, y, y_all, X_feature, dim, dimsum, learn_options) - predictions[:, i] = m.predict(X_feature[test]).flatten() - validations[:, i] = y_pred.flatten() - - clf = LinearRegression() - clf.fit(validations, y[valid_sub]) - y_pred = clf.predict(predictions) - - return y_pred, None - - -def randomforest_on_fold(feature_sets, train, test, y, y_all, X, dim, dimsum, learn_options): - ''' - RandomForestRegressor from scikitlearn. - ''' - clf = en.RandomForestRegressor(oob_score=True, n_jobs=20, n_estimators=2000) - clf.fit(X[train], y[train][:, 0]) - y_pred = clf.predict(X[test])[:, None] - return y_pred, clf - - -def decisiontree_on_fold(feature_sets, train, test, y, y_all, X, dim, dimsum, learn_options): - ''' - DecisionTreeRegressor from scikitlearn. - ''' - clf = tree.DecisionTreeRegressor() - clf.fit(X[train], y[train][:, 0]) - y_pred = clf.predict(X[test])[:, None] - return y_pred, clf - - -def linear_stacking(y_train, X_train, X_test): - clf = sklearn.linear_model.LinearRegression() - clf.fit(X_train, y_train) - y_pred = clf.predict(X_test) - return y_pred.flatten() - - -def pairwise_majority_voting(y): - N = y.shape[0] - y_pred = np.zeros((N, N)) - for i in range(N): - for j in range(N): - if i == j: - continue - - y_pred[i, j] = (y[i] > y[j]).sum() > y.shape[1]/2 - - return y_pred.sum(1)/y_pred.sum(1).max() - - -def median(y): - return np.median(y, axis=1) - - -def GBR_stacking(y_train, X_train, X_test): - param_grid = {'learning_rate': [0.1, 0.05, 0.01], - 'max_depth': [2, 3, 4, 5], # [2, 3, 4, 6], - 'min_samples_leaf': [1, 2, 3], # ,5, 7], - 'max_features': [1.0, 0.5, 0.3, 0.1]} - - est = en.GradientBoostingRegressor(loss='ls', n_estimators=100) - clf = GridSearchCV(est, param_grid, n_jobs=3, verbose=1, cv=20, scoring=spearman_scoring).fit(X_train, y_train.flatten()) - # clf.fit(X_train, y_train.flatten()) - return clf.predict(X_test) - - -def GP_stacking(y_train, X_train, X_test): - import GPy - m = GPy.models.SparseGPRegression(X_train, y_train, num_inducing=20, kernel=GPy.kern.RBF(X_train.shape[1])) - m.optimize('bfgs', messages=0) - y_pred = m.predict(X_test)[0] - return y_pred.flatten() - - -def SVM_stacking(y_train, X_train, X_test): - parameters = {'kernel': ('linear', 'rbf'), 'C': np.linspace(1, 10, 10), 'gamma': np.linspace(1e-3, 1., 10)} - svr = svm.SVR() - clf = GridSearchCV(svr, parameters, n_jobs=3, verbose=1, cv=10, scoring=spearman_scoring) - clf.fit(X_train, y_train.flatten()) - return clf.predict(X_test) diff --git a/auto_search_corrected/azimuth/models/ensembles.pyc b/auto_search_corrected/azimuth/models/ensembles.pyc deleted file mode 100644 index c803f64..0000000 Binary files a/auto_search_corrected/azimuth/models/ensembles.pyc and /dev/null differ diff --git a/auto_search_corrected/azimuth/models/gpy_ssk.py b/auto_search_corrected/azimuth/models/gpy_ssk.py deleted file mode 100644 index 01bf4c0..0000000 --- a/auto_search_corrected/azimuth/models/gpy_ssk.py +++ /dev/null @@ -1,56 +0,0 @@ -from ssk_cython import * -import GPy -from GPy.util.caching import Cache_this - -class WeightedDegree(GPy.kern.Kern): - def __init__(self, input_dim, strings, d=4, variance=1., active_dims=None, name='weighted degree'): - super(WeightedDegree, self).__init__(input_dim, active_dims, name) - self.variance = GPy.core.parameterization.Param('variance', variance, GPy.core.parameterization.transformations.Logexp()) - self.link_parameters(self.variance) - self.strings = strings - self.string_kernel = cython_WD_K(self.strings.tolist(), self.strings.tolist(), d=d) - - def K(self, X, X2=None): - if X2 is None: - X2 = X - - Xind = np.asarray(X, dtype=int).flatten() - X2ind = np.asarray(X2, dtype=int).flatten() - K = self.string_kernel[Xind][:, X2ind] - - return self.variance * K - - def Kdiag(self, X): - Xind = np.asarray(X, dtype=int).flatten() - K = self.string_kernel[Xind][:, Xind] - - return self.variance * K.diagonal() - - def update_gradients_full(self, dL_dK, X, X2=None): - if X2 is None: - X2 = X - - Xind = np.asarray(X, dtype=int).flatten() - X2ind = np.asarray(X2, dtype=int).flatten() - K = self.string_kernel[Xind][:, X2ind] - - self.variance.gradient = np.einsum('ij,ij', dL_dK, K) - - def update_gradients_diag(self, dL_dKdiag, X): - Xind = np.asarray(X, dtype=int).flatten() - K = self.string_kernel[Xind][:, Xind] - - self.variance.gradient = np.einsum('i,i', dL_dKdiag, K) - - - -if __name__ == '__main__': - x1 = 'ATCGATCG' - x2 = 'ATCGATCG' - x3 = 'ATCGATCC' - x4 = 'ATCGATAA' - x5 = 'ANNNNNNN' - X = np.arange(5)[:, None] - y = np.random.randn(5, 1) - kern = WeightedDegree(1, np.array([x1, x2, x3, x4, x5])) - m = GPy.models.GPRegression(X, y, kernel=kern) diff --git a/auto_search_corrected/azimuth/models/regression.py b/auto_search_corrected/azimuth/models/regression.py deleted file mode 100644 index ca0dc83..0000000 --- a/auto_search_corrected/azimuth/models/regression.py +++ /dev/null @@ -1,287 +0,0 @@ -import numpy as np -import sklearn -from sklearn.linear_model import ARDRegression, LinearRegression -from sklearn.metrics import roc_curve, auc -import sklearn.linear_model -import azimuth.util -import azimuth.metrics as ranking_metrics -import azimuth.predict -import numbers - -def ARDRegression_on_fold(feature_sets, train, test, y, y_all, X, dim, dimsum, learn_options): - ''' - ''' - clf = ARDRegression() - clf.fit(X[train], y[train][:, 0]) - y_pred = clf.predict(X[test])[:, None] - return y_pred, clf - - -def train_linreg_model(alpha, l1r, learn_options, fold, X, y, y_all): - ''' - fold is something like train_inner (boolean array specifying what is in the fold) - ''' - if learn_options["penalty"] == "L2": - clf = sklearn.linear_model.Ridge(alpha=alpha, fit_intercept=learn_options["fit_intercept"], normalize=learn_options['normalize_features'], copy_X=True, max_iter=None, tol=0.001, solver='auto') - weights = get_weights(learn_options, fold, y, y_all) - clf.fit(X[fold], y[fold], sample_weight=weights) - elif learn_options["penalty"] == 'EN' or learn_options["penalty"] == 'L1': - if learn_options["loss"] == "squared": - clf = sklearn.linear_model.ElasticNet(alpha=alpha, l1_ratio=l1r, fit_intercept=learn_options["fit_intercept"], normalize=learn_options['normalize_features'], max_iter=3000) - elif learn_options["loss"] == "huber": - clf = sklearn.linear_model.SGDRegressor('huber', epsilon=0.7, alpha=alpha, - l1_ratio=l1r, fit_intercept=learn_options["fit_intercept"], n_iter=10, - penalty='elasticnet', shuffle=True, normalize=learn_options['normalize_features']) - clf.fit(X[fold], y[fold]) - return clf - - -def logreg_on_fold(feature_sets, train, test, y, y_all, X, dim, dimsum, learn_options): - ''' - (L1/L2 penalized) logistic reggresion using scikitlearn - ''' - - assert len(np.unique(y)) <= 2, "if using logreg need binary targets" - assert learn_options["weighted"] is None, "cannot do weighted Log reg" - assert learn_options['feature_select'] is False, "cannot do feature selection yet in logistic regression--see linreg_on_fold to implement" - - cv, n_folds = set_up_inner_folds(learn_options, y_all.iloc[train]) - - assert learn_options['penalty'] == "L1" or learn_options['penalty'] == "L2", "can only use L1 or L2 with logistic regression" - - tol = 0.00001#0.0001 - - performance = np.zeros((len(learn_options["alpha"]), 1)) - # degenerate_pred = np.zeros((len(learn_options["alpha"]))) - for train_inner, test_inner in cv: - for i, alpha in enumerate(learn_options["alpha"]): - clf = sklearn.linear_model.LogisticRegression(penalty=learn_options['penalty'].lower(), dual=False, fit_intercept=learn_options["fit_intercept"], class_weight=learn_options["class_weight"], tol=tol, C=1.0/alpha) - - clf.fit(X[train][train_inner], y[train][train_inner].flatten()) - #tmp_pred = clf.predict(X[train][test_inner]) - tmp_pred = clf.predict_proba(X[train][test_inner])[:,1] - - if learn_options["training_metric"] == "AUC": - fpr, tpr, _ = roc_curve(y_all[learn_options["ground_truth_label"]][train][test_inner], tmp_pred) - assert ~np.any(np.isnan(fpr)), "found nan fpr" - assert ~np.any(np.isnan(tpr)), "found nan tpr" - tmp_auc = auc(fpr, tpr) - performance[i] += tmp_auc - else: - raise Exception("can only use AUC metric for cv with classification") - - performance /= n_folds - - max_score_ind = np.where(performance == np.nanmax(performance)) - assert max_score_ind != len(performance), "enlarge alpha range as hitting max boundary" - - # in the unlikely event of tied scores, take the first one. - if len(max_score_ind[0]) > 1: - max_score_ind = [max_score_ind[0][0], max_score_ind[1][0]] - - best_alpha = learn_options["alpha"][max_score_ind[0]] - - best_alpha = best_alpha[0] - if not isinstance(best_alpha, numbers.Number): - raise Exception("best_alpha must be a number but is %s" % type(best_alpha)) - - print("\t\tbest alpha is %f from range=%s" % (best_alpha, learn_options["alpha"][[0, -1]])) - max_perf = np.nanmax(performance) - - if max_perf < 0.0: - raise Exception("performance is negative") - - print("\t\tbest performance is %f" % np.nanmax(performance)) - - clf = sklearn.linear_model.LogisticRegression(penalty=learn_options['penalty'], - dual=False, fit_intercept=learn_options["fit_intercept"], class_weight=learn_options["class_weight"], tol=tol, C=1.0/best_alpha) - clf.fit(X[train], y[train].flatten()) - - # debugging check that get samed paramter estimation when have no regularization and use - # either data with only that feature on, or all data), AND WITH NO INTERCEPT - if False: - # grab only feature "GA3" - keep_ind = np.where(feature_sets['mutletpos'].columns=="GA3")[0] - print("%s, %s" % (str(clf.intercept_ ), str(clf.coef_[0, keep_ind]))) - clf.fit(X[train][:,keep_ind], y[train].flatten()) - print("%s, %s" % (str(clf.intercept_ ), str(clf.coef_))) - import ipdb; ipdb.set_trace() - - - #y_pred = clf.predict(X[test]) - y_pred = clf.predict_proba(X[test])[:,1] - y_pred = y_pred[:, None] - #fpr, tpr, _ = roc_curve(y, y_pred); tmp_auc = auc(fpr, tpr) - #import ipdb; ipdb.set_trace() - return y_pred, clf - - -def linreg_on_fold(feature_sets, train, test, y, y_all, X, dim, dimsum, learn_options): - ''' - linreg using scikitlearn, using more standard regression models with penalization requiring - nested-cross-validation - ''' - - if learn_options["weighted"] is not None and (learn_options["penalty"] != "L2" or learn_options["method"] != "linreg"): - raise NotImplementedError("weighted prediction not implemented for any methods by L2 at the moment") - - if not learn_options.has_key("fit_intercept"): - learn_options["fit_intercept"] = True - if not learn_options.has_key('normalize_features'): - learn_options['normalize_features'] = True - - cv, n_folds = set_up_inner_folds(learn_options, y_all.iloc[train]) - - if learn_options['penalty'] == "L1": - l1_ratio = [1.0] - elif learn_options['penalty'] == "L2": - l1_ratio = [0.0] - elif learn_options['penalty'] == "EN": # elastic net - l1_ratio = np.linspace(0.0, 1.0, 20) - - performance = np.zeros((len(learn_options["alpha"]), len(l1_ratio))) - degenerate_pred = np.zeros((len(learn_options["alpha"]))) - for train_inner, test_inner in cv: - for i, alpha in enumerate(learn_options["alpha"]): - for j, l1r in enumerate(l1_ratio): - clf = train_linreg_model(alpha, l1r, learn_options, train_inner, X[train], y[train], y_all.iloc[train]) - if learn_options["feature_select"]: - clf, tmp_pred = feature_select(clf, learn_options, test_inner, train_inner, X[train], y[train]) - else: - tmp_pred = clf.predict(X[train][test_inner]) - - if learn_options["training_metric"] == "AUC": - fpr, tpr, _ = roc_curve(y_all[learn_options["ground_truth_label"]][train][test_inner], tmp_pred) - assert ~np.any(np.isnan(fpr)), "found nan fpr" - assert ~np.any(np.isnan(tpr)), "found nan tpr" - tmp_auc = auc(fpr, tpr) - performance[i, j] += tmp_auc - - elif learn_options['training_metric'] == 'spearmanr': - spearman = azimuth.util.spearmanr_nonan(y_all[learn_options['ground_truth_label']][train][test_inner], tmp_pred.flatten())[0] - performance[i, j] += spearman - - elif learn_options['training_metric'] == 'score': - performance[i, j] += clf.score(X[test_inner], y_all[learn_options['ground_truth_label']][train][test_inner]) - - elif learn_options["training_metric"] == "NDCG": - assert "thresh" not in learn_options["ground_truth_label"], "for NDCG must not use thresholded ranks, but pure ranks" - - # sorted = tmp_pred[np.argsort(y_all[ground_truth_label].values[test_inner])[::-1]].flatten() - # sortedgt = np.sort(y_all[ground_truth_label].values[test_inner])[::-1].flatten() - # tmp_perf = ranking_metrics.ndcg_at_k_ties(sorted, learn_options["NDGC_k"], sortedgt) - tmp_truth = y_all[learn_options["ground_truth_label"]].values[train][test_inner].flatten() - tmp_perf = ranking_metrics.ndcg_at_k_ties(tmp_truth, tmp_pred.flatten(), learn_options["NDGC_k"]) - performance[i, j] += tmp_perf - - degenerate_pred_tmp = len(np.unique(tmp_pred)) < len(tmp_pred)/2.0 - degenerate_pred[i] += degenerate_pred_tmp - - # sanity checking metric wrt ties, etc. - # rmse = np.sqrt(np.mean((tmp_pred - tmp_truth)**2)) - tmp_pred_r, tmp_truth_r = ranking_metrics.rank_data(tmp_pred, tmp_truth) - # rmse_r = np.sqrt(np.mean((tmp_pred_r-tmp_truth_r)**2)) - - performance /= n_folds - - max_score_ind = np.where(performance == np.nanmax(performance)) - assert max_score_ind != len(performance), "enlarge alpha range as hitting max boundary" - # assert degenerate_pred[max_score_ind[0][0]]==0, "found degenerate predictions at max score" - - # in the unlikely event of tied scores, take the first one. - if len(max_score_ind[0]) > 1: - max_score_ind = [max_score_ind[0][0], max_score_ind[1][0]] - - best_alpha, best_l1r = learn_options["alpha"][max_score_ind[0]], l1_ratio[max_score_ind[1]] - - print("\t\tbest alpha is %f from range=%s" % (best_alpha, learn_options["alpha"][[0, -1]])) - - if learn_options['penalty'] == "EN": - print("\t\tbest l1_ratio is %f from range=%s" % (best_l1r, l1_ratio[[0, -1]])) - max_perf = np.nanmax(performance) - - if max_perf < 0.0: - raise Exception("performance is negative") - - print("\t\tbest performance is %f" % max_perf) - - clf = train_linreg_model(best_alpha, l1r, learn_options, train, X, y, y_all) - if learn_options["feature_select"]: - raise Exception("untested in a long time, should double check") - clf, y_pred = feature_select(clf, learn_options, test, train, X, y) - else: - y_pred = clf.predict(X[test]) - - if learn_options["penalty"] != "L2": - y_pred = y_pred[:, None] - - return y_pred, clf - - -def feature_select(clf, learn_options, test_inner, train_inner, X, y): - assert not learn_options["weighted"] is not None, "cannot currently do feature selection with weighted regression" - assert learn_options["loss"] is not "huber", "won't use huber loss function with feature selection" - non_zero_coeff = (clf.coef_ != 0.0) - if non_zero_coeff.sum() > 0: - clf = LinearRegression() - clf.fit(X[train_inner][:, non_zero_coeff.flatten()], y[train_inner]) - tmp_pred = clf.predict(X[test_inner][:, non_zero_coeff.flatten()]) - else: - tmp_pred = np.ones_like(test_inner) - return clf, tmp_pred - - -def get_weights(learn_options, fold, y, y_all): - ''' - fold is an object like train_inner which is boolean for which indexes are in the fold - ''' - weights = None - if learn_options["weighted"] == "variance": - weights = 1.0/y_all["variance"].values[fold] - elif learn_options["weighted"] == "ndcg": - # DCG: r[0] + np.sum(r[1:] / np.log2(np.arange(2, r.size + 1))) - N = len(fold) - r = np.ones(N) - discount = np.concatenate((np.array([r[0]]), r[1:] / np.log2(np.arange(2, r.size + 1))))[::1] - ind = np.argsort(y[fold], axis=0).flatten() - weights = np.ones(len(ind)) - weights[ind] = discount - elif learn_options["weighted"] == "rank": - N = len(y[fold]) - inverse_ranks = (np.arange(N) + 1.0)[::-1] - ind = np.argsort(y[fold], axis=0).flatten() - weights = np.ones(len(ind)) - weights[ind] = inverse_ranks - elif learn_options["weighted"] == "score": - N = len(y[fold]) - score = y[fold] + np.abs(np.min(y[fold])) - ind = np.argsort(y[fold], axis=0).flatten() - weights = np.ones(len(ind)) - weights[ind] = score - elif learn_options["weighted"] == "random": - N = len(y[fold]) - weights = np.random.rand(N) - elif learn_options["weighted"] is not None: - raise Exception("invalid weighted type, %s" % learn_options["weighted"]) - # plt.plot(weights, y[train_inner],'.') - return weights - - -def set_up_inner_folds(learn_options, y): - label_encoder = sklearn.preprocessing.LabelEncoder() - label_encoder.fit(y['Target gene'].values) - gene_classes = label_encoder.transform(y['Target gene'].values) - n_genes = len(np.unique(gene_classes)) - if learn_options['ignore_gene_level_for_inner_loop'] or learn_options["cv"] == "stratified" or n_genes==1: - if 'n_folds' not in learn_options.keys(): - n_folds = len(np.unique(gene_classes)) - else: - n_folds = learn_options['n_folds'] - cv = sklearn.cross_validation.StratifiedKFold(gene_classes, n_folds=n_folds, shuffle=True) - elif learn_options["cv"] == "gene": - gene_list = np.unique(y['Target gene'].values) - cv = [] - for gene in gene_list: - cv.append(azimuth.predict.get_train_test(gene, y)) - n_folds = len(cv) - return cv, n_folds diff --git a/auto_search_corrected/azimuth/models/regression.pyc b/auto_search_corrected/azimuth/models/regression.pyc deleted file mode 100644 index 5179d13..0000000 Binary files a/auto_search_corrected/azimuth/models/regression.pyc and /dev/null differ diff --git a/auto_search_corrected/azimuth/models/ssk.py b/auto_search_corrected/azimuth/models/ssk.py deleted file mode 100644 index bcb5380..0000000 --- a/auto_search_corrected/azimuth/models/ssk.py +++ /dev/null @@ -1,38 +0,0 @@ -import numpy as np -from ssk_cython import * - -def weighted_degree_kxx(x, xp, d): - assert len(x) == len(xp) - l = len(x) - sim = 0 - - for k in range(1, d): - beta_k = 2*(d-k+1)/float((d*(d+1))) - sim_k = 0 - for i in range(1, l-k+1): - if x[i:i+k] == xp[i:i+k]: - sim_k += 1. - sim += beta_k * sim_k - - return sim - -def WD_K(sequences, d=4, cython=False): - num_sequences = len(sequences) - K = np.zeros((num_sequences, num_sequences)) - - for i in range(num_sequences): - for j in range(num_sequences): - if cython: - K[i, j] = cython_weighted_degree_kxx(sequences[i], sequences[j], d=d) - else: - K[i, j] = weighted_degree_kxx(sequences[i], sequences[j], d=d) - - return K - -if __name__ == '__main__': - x1 = 'ATCGATCG' - x2 = 'ATCGATCG' - x3 = 'ATCGATCC' - x4 = 'ATCGATAA' - x5 = 'ANNNNNNN' - K = WD_K([x1, x2, x3, x4, x5]) diff --git a/auto_search_corrected/azimuth/predict.py b/auto_search_corrected/azimuth/predict.py deleted file mode 100644 index ba82e4e..0000000 --- a/auto_search_corrected/azimuth/predict.py +++ /dev/null @@ -1,373 +0,0 @@ -import numpy as np -import sklearn -from sklearn.metrics import roc_curve, auc -import sklearn.metrics -#import sklearn.cross_validation -import copy -#import util -from . import util -import time -#import metrics as ranking_metrics #commented because no module metrics for conda -import azimuth.models.regression -import azimuth.models.ensembles -import azimuth.models.DNN -import azimuth.models.baselines -import multiprocessing - - -def fill_in_truth_and_predictions(truth, predictions, fold, y_all, y_pred, learn_options, test): - truth[fold]['ranks'] = np.hstack((truth[fold]['ranks'], - y_all[learn_options['rank-transformed target name']].values[test].flatten())) - - truth[fold]['thrs'] = np.hstack((truth[fold]['thrs'], - y_all[learn_options['binary target name']].values[test].flatten())) - - if 'raw_target_name' in learn_options.keys(): - truth[fold]['raw'] = np.hstack((truth[fold]['raw'], - y_all[learn_options['raw target name']].values[test].flatten())) - - predictions[fold] = np.hstack((predictions[fold], y_pred.flatten())) - - return truth, predictions - - -def construct_filename(learn_options, TEST): - #if learn_options.has_key("V"): - if "V" in learn_options: - filename = "V%s" % learn_options["V"] - else: - filename = "offV1" - - if TEST: - filename = "TEST." - - filename += learn_options["method"] - filename += '.order%d' % learn_options["order"] - # try: - # learn_options["target_name"] = ".%s" % learn_options["target_name"].split(" ")[1] - # except: - # pass - filename += learn_options["target_name"] - if learn_options["method"] == "GPy": - pass - # filename += ".R%d" % opt_options['num_restarts'] - # filename += ".K%s" % learn_options['kerntype'] - # if learn_options.has_key('degree'): - # filename += "d%d" % learn_options['degree'] - # if learn_options['warped']: - # filename += ".Warp" - elif learn_options["method"] == "linreg": - filename += "." + learn_options["penalty"] - filename += "." + learn_options["cv"] - - if learn_options["training_metric"] == "NDCG": - filename += ".NDGC_%d" % learn_options["NDGC_k"] - elif learn_options["training_metric"] == "AUC": - filename += ".AUC" - elif learn_options["training_metric"] == 'spearmanr': - filename += ".spearman" - - print("filename = %s" % filename) - return filename - -def print_summary(global_metric, results, learn_options, feature_sets, flags): - print("\nSummary:") - print(learn_options) - print("\t\tglobal %s=%.2f" % (learn_options['metric'], global_metric)) - print("\t\tmedian %s across folds=%.2f" % (learn_options['metric'], np.median(results[0]))) - print("\t\torder=%d" % learn_options["order"]) - # if learn_options.has_key('kerntype'): "\t\tkern type = %s" % learn_options['kerntype'] - if 'kerntype' in learn_options : "\t\tkern type = %s" % learn_options['kerntype'] - # if learn_options.has_key('degree'): print("\t\tdegree=%d" % learn_options['degree']) - if 'degree' in learn_options: print("\t\tdegree=%d" % learn_options['degree']) - print("\t\ttarget_name=%s" % learn_options["target_name"]) - - for k in flags.keys(): - print('\t\t' + k + '=' + str(learn_options[k])) - - print("\t\tfeature set:") - for set in feature_sets.keys(): - print("\t\t\t%s" % set) - print("\t\ttotal # features=%d" % results[4]) - -def extract_fpr_tpr_for_fold(aucs, fold, i, predictions, truth, y_binary, test, y_pred): - assert len(np.unique(y_binary))<=2, "if using AUC need binary targets" - fpr, tpr, _ = roc_curve(y_binary[test], y_pred) - roc_auc = auc(fpr, tpr) - aucs.append(roc_auc) - -def extract_NDCG_for_fold(metrics, fold, i, predictions, truth, y_ground_truth, test, y_pred, learn_options): - NDCG_fold = ranking_metrics.ndcg_at_k_ties(y_ground_truth[test].flatten(), y_pred.flatten(), learn_options["NDGC_k"]) - metrics.append(NDCG_fold) - -def extract_spearman_for_fold(metrics, fold, i, predictions, truth, y_ground_truth, test, y_pred, learn_options): - spearman = util.spearmanr_nonan(y_ground_truth[test].flatten(), y_pred.flatten())[0] - assert not np.isnan(spearman), "found nan spearman" - metrics.append(spearman) - -def get_train_test(test_gene, y_all, train_genes=None): - # this is a bit convoluted because the train_genes+test_genes may not add up to all genes - # for e.g. when we load up V3, but then use only V2, etc. - - not_test = (y_all.index.get_level_values('Target gene').values != test_gene) - - if train_genes is not None: - in_train_genes = np.zeros(not_test.shape, dtype=bool) - for t_gene in train_genes: - in_train_genes = np.logical_or(in_train_genes, (y_all.index.get_level_values('Target gene').values == t_gene)) - train = np.logical_and(not_test, in_train_genes) - else: - train = not_test - #y_all['test'] as to do with extra pairs in V2 - if 'test' in y_all.columns.names: - test = (y_all.index.get_level_values('Target gene').values== test_gene) * (y_all['test'].values == 1.) - elif test_gene == 'dummy': - test = train - elif test is None: - test = train - else: - test = (y_all.index.get_level_values('Target gene').values== test_gene) - - # convert to indices - test = np.where(test == True)[0] - train = np.where(train == True)[0] - return train, test - - -def cross_validate(y_all, feature_sets, learn_options=None, TEST=False, train_genes=None, CV=True): - ''' - feature_sets is a dictionary of "set name" to pandas.DataFrame - one set might be single-nucleotide, position-independent features of order X, for e.g. - Method: "GPy" or "linreg" - Metric: NDCG (learning to rank metric, Normalized Discounted Cumulative Gain); AUC - Output: cv_score_median, gene_rocs - When CV=False, it trains on everything (and tests on everything, just to fit the code) - ''' - - print("range of y_all is [%f, %f]" % (np.min(y_all[learn_options['target_name']].values), np.max(y_all[learn_options['target_name']].values))) - - allowed_methods = ["GPy", "linreg", "AdaBoostRegressor", "AdaBoostClassifier", - "DecisionTreeRegressor", "RandomForestRegressor", - "ARDRegression", "GPy_fs", "mean", "random", "DNN", - "lasso_ensemble", "doench", "logregL1", "sgrna_from_doench", 'SVC', 'xu_et_al'] - - assert learn_options["method"] in allowed_methods,"invalid method: %s" % learn_options["method"] - assert learn_options["method"] == "linreg" and learn_options['penalty'] == 'L2' or learn_options["weighted"] is None, "weighted only works with linreg L2 right now" - - # construct filename from options - filename = construct_filename(learn_options, TEST) - - print("Cross-validating genes...") - t2 = time.time() - - y = np.array(y_all[learn_options["target_name"]].values[:,None],dtype=np.float64) - - # concatenate feature sets in to one nparray, and get dimension of each - inputs, dim, dimsum, feature_names = util.concatenate_feature_sets(feature_sets) - #import pickle; pickle.dump([y, inputs, feature_names, learn_options], open("saved_models/inputs.p", "wb" )); import ipdb; ipdb.set_trace() - - if not CV: - assert learn_options['cv'] == 'gene', 'Must use gene-CV when CV is False (I need to use all of the genes and stratified complicates that)' - - # set-up for cross-validation - ## for outer loop, the one Doench et al use genes for - if learn_options["cv"] == "stratified": - assert not learn_options.has_key("extra_pairs") or learn_options['extra pairs'], "can't use extra pairs with stratified CV, need to figure out how to properly account for genes affected by two drugs" - label_encoder = sklearn.preprocessing.LabelEncoder() - label_encoder.fit(y_all['Target gene'].values) - gene_classes = label_encoder.transform(y_all['Target gene'].values) - if 'n_folds' in learn_options.keys(): - n_folds = learn_options['n_folds'] - elif learn_options['train_genes'] is not None and learn_options["test_genes"] is not None: - n_folds = len(learn_options["test_genes"]) - else: - n_folds = len(learn_options['all_genes']) - - cv = sklearn.cross_validation.StratifiedKFold(gene_classes, n_folds=n_folds, shuffle=True) - fold_labels = ["fold%d" % i for i in range(1,n_folds+1)] - if learn_options['num_genes_remove_train'] is not None: - raise NotImplementedException() - elif learn_options["cv"]=="gene": - cv = [] - - if not CV: - train_test_tmp = get_train_test('dummy', y_all) # get train, test split using a dummy gene - #train_tmp, test_tmp = train_test_tmp - # not a typo, using training set to test on as well, just for this case. Test set is not used - # for internal cross-val, etc. anyway. - #train_test_tmp = (train_tmp, train_tmp) - cv.append(train_test_tmp) - fold_labels = ["dummy_for_no_cv"]#learn_options['all_genes'] - - elif learn_options['train_genes'] is not None and learn_options["test_genes"] is not None: - assert learn_options['train_genes'] is not None and learn_options['test_genes'] is not None, "use both or neither" - for i, gene in enumerate(learn_options['test_genes']): - cv.append(get_train_test(gene, y_all, learn_options['train_genes'])) - fold_labels = learn_options["test_genes"] - # if train and test genes are seperate, there should be only one fold - train_test_disjoint = set.isdisjoint(set(learn_options["train_genes"].tolist()), set(learn_options["test_genes"].tolist())) - - else: - for i, gene in enumerate(learn_options['all_genes']): - train_test_tmp = get_train_test(gene, y_all) - cv.append(train_test_tmp) - fold_labels = learn_options['all_genes'] - - if learn_options['num_genes_remove_train'] is not None: - for i, (train,test) in enumerate(cv): - unique_genes = np.random.permutation(np.unique(np.unique(y_all['Target gene'][train]))) - genes_to_keep = unique_genes[0:len(unique_genes) - learn_options['num_genes_remove_train']] - guides_to_keep = [] - filtered_train = [] - for j, gene in enumerate(y_all['Target gene']): - if j in train and gene in genes_to_keep: - filtered_train.append(j) - cv_i_orig = copy.deepcopy(cv[i]) - cv[i] = (filtered_train, test) - if learn_options['num_genes_remove_train']==0: - assert np.all(cv_i_orig[0]==cv[i][0]) - assert np.all(cv_i_orig[1]==cv[i][1]) - print("# train/train after/before is %s, %s" % (len(cv[i][0]), len(cv_i_orig[0]))) - print("# test/test after/before is %s, %s" % (len(cv[i][1]), len(cv_i_orig[1]))) - else: - raise Exception("invalid cv options given: %s" % learn_options["cv"]) - - cv = [c for c in cv] #make list from generator, so can subset for TEST case - if TEST: - ind_to_use = [0]#[0,1] - cv = [cv[i] for i in ind_to_use] - fold_labels = [fold_labels[i] for i in ind_to_use] - - truth = dict([(t, dict([(m, np.array([])) for m in ['raw', 'ranks', 'thrs']])) for t in fold_labels]) - predictions = dict([(t, np.array([])) for t in fold_labels]) - - m = {} - metrics = [] - - #do the cross-validation - num_proc = learn_options["num_proc"] - if num_proc > 1: - num_proc = np.min([num_proc,len(cv)]) - print("using multiprocessing with %d procs--one for each fold" % num_proc) - jobs = [] - pool = multiprocessing.Pool(processes=num_proc) - for i,fold in enumerate(cv): - train,test = fold - print("working on fold %d of %d, with %d train and %d test" % (i, len(cv), len(train), len(test))) - if learn_options["method"]=="GPy": - job = pool.apply_async(azimuth.models.GP.gp_on_fold, args=(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options)) - elif learn_options["method"]=="linreg": - job = pool.apply_async(azimuth.models.regression.linreg_on_fold, args=(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options)) - elif learn_options["method"]=="logregL1": - job = pool.apply_async(azimuth.models.regression.logreg_on_fold, args=(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options)) - elif learn_options["method"]=="AdaBoostRegressor": - job = pool.apply_async(azimuth.models.ensembles.adaboost_on_fold, args=(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options, False)) - elif learn_options["method"]=="AdaBoostClassifier": - job = pool.apply_async(azimuth.models.ensembles.adaboost_on_fold, args=(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options, True)) - elif learn_options["method"]=="DecisionTreeRegressor": - job = pool.apply_async(azimuth.models.ensembles.decisiontree_on_fold, args=(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options)) - elif learn_options["method"]=="RandomForestRegressor": - job = pool.apply_async(azimuth.models.ensembles.randomforest_on_fold, args=(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options)) - elif learn_options["method"]=="ARDRegression": - job = pool.apply_async(azimuth.models.regression.ARDRegression_on_fold, args=(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options)) - elif learn_options["method"] == "random": - job = pool.apply_async(azimuth.models.baselines.random_on_fold, args=(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options)) - elif learn_options["method"] == "mean": - job = pool.apply_async(azimuth.models.baselines.mean_on_fold, args=(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options)) - elif learn_options["method"] == "SVC": - job = pool.apply_async(azimuth.models.baselines.SVC_on_fold, args=(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options)) - elif learn_options["method"] == "DNN": - job = pool.apply_async(azimuth.models.DNN.DNN_on_fold, args=(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options)) - elif learn_options["method"] == "lasso_ensemble": - job = pool.apply_async(azimuth.models.ensembles.LASSOs_ensemble_on_fold, args=(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options)) - elif learn_options["method"] == "doench": - job = pool.apply_async(azimuth.models.baselines.doench_on_fold, args=(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options)) - elif learn_options["method"] == "sgrna_from_doench": - job = pool.apply_async(azimuth.models.baselines.sgrna_from_doench_on_fold, args=(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options)) - elif learn_options["method"] == "xu_et_al": - job = pool.apply_async(azimuth.models.baselines.xu_et_al_on_fold, args=(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options)) - else: - raise Exception("did not find method=%s" % learn_options["method"]) - jobs.append(job) - pool.close() - pool.join() - for i,fold in enumerate(cv):#i in range(0,len(jobs)): - y_pred, m[i] = jobs[i].get() - train,test = fold - - if learn_options["training_metric"]=="AUC": - extract_fpr_tpr_for_fold(metrics, fold_labels[i], i, predictions, truth, y_all[learn_options["ground_truth_label"]].values, test, y_pred) - elif learn_options["training_metric"]=="NDCG": - extract_NDCG_for_fold(metrics, fold_labels[i], i, predictions, truth, y_all[learn_options["ground_truth_label"]].values, test, y_pred, learn_options) - elif learn_options["training_metric"] == 'spearmanr': - extract_spearman_for_fold(metrics, fold_labels[i], i, predictions, truth, y_all[learn_options["ground_truth_label"]].values, test, y_pred, learn_options) - else: - raise Exception("invalid 'training_metric' in learn_options: %s" % learn_options["training_metric"]) - - truth, predictions = fill_in_truth_and_predictions(truth, predictions, fold_labels[i], y_all, y_pred, learn_options, test) - - pool.terminate() - - else: - # non parallel version - for i,fold in enumerate(cv): - train,test = fold - if learn_options["method"]=="GPy": - y_pred, m[i] = gp_on_fold(azimuth.models.GP.feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options) - elif learn_options["method"]=="linreg": - y_pred, m[i] = azimuth.models.regression.linreg_on_fold(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options) - elif learn_options["method"]=="logregL1": - y_pred, m[i] = azimuth.models.regression.logreg_on_fold(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options) - elif learn_options["method"]=="AdaBoostRegressor": - y_pred, m[i] = azimuth.models.ensembles.adaboost_on_fold(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options, classification=False) - elif learn_options["method"]=="AdaBoostClassifier": - y_pred, m[i] = azimuth.models.ensembles.adaboost_on_fold(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options, classification=True) - elif learn_options["method"]=="DecisionTreeRegressor": - y_pred, m[i] = azimuth.models.ensembles.decisiontree_on_fold(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options) - elif learn_options["method"]=="RandomForestRegressor": - y_pred, m[i] = azimuth.models.ensembles.randomforest_on_fold(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options) - elif learn_options["method"]=="ARDRegression": - y_pred, m[i] = azimuth.models.regression.ARDRegression_on_fold(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options) - elif learn_options["method"]=="GPy_fs": - y_pred, m[i] = azimuth.models.GP.gp_with_fs_on_fold(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options) - elif learn_options["method"] == "random": - y_pred, m[i] = azimuth.models.baselines.random_on_fold(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options) - elif learn_options["method"] == "mean": - y_pred, m[i] = azimuth.models.baselines.mean_on_fold(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options) - elif learn_options["method"] == "SVC": - y_pred, m[i] = azimuth.models.baselines.SVC_on_fold(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options) - elif learn_options["method"] == "DNN": - y_pred, m[i] = azimuth.models.DNN.DNN_on_fold(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options) - elif learn_options["method"] == "lasso_ensemble": - y_pred, m[i] = azimuth.models.ensembles.LASSOs_ensemble_on_fold(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options) - elif learn_options["method"] == "doench": - y_pred, m[i] = azimuth.models.baselines.doench_on_fold(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options) - elif learn_options["method"] == "sgrna_from_doench": - y_pred, m[i] = azimuth.models.baselines.sgrna_from_doench_on_fold(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options) - elif learn_options["method"] == "xu_et_al": - y_pred, m[i] = azimuth.models.baselines.xu_et_al_on_fold(feature_sets, train, test, y, y_all, inputs, dim, dimsum, learn_options) - else: - raise Exception("invalid method found: %s" % learn_options["method"]) - - if learn_options["training_metric"]=="AUC": - # fills in truth and predictions - extract_fpr_tpr_for_fold(metrics, fold_labels[i], i, predictions, truth, y_all[learn_options['ground_truth_label']].values, test, y_pred) - elif learn_options["training_metric"]=="NDCG": - extract_NDCG_for_fold(metrics, fold_labels[i], i, predictions, truth, y_all[learn_options["ground_truth_label"]].values, test, y_pred, learn_options) - elif learn_options["training_metric"] == 'spearmanr': - extract_spearman_for_fold(metrics, fold_labels[i], i, predictions, truth, y_all[learn_options["ground_truth_label"]].values, test, y_pred, learn_options) - - truth, predictions = fill_in_truth_and_predictions(truth, predictions, fold_labels[i], y_all, y_pred, learn_options, test) - - print("\t\tRMSE: ", np.sqrt(((y_pred - y[test])**2).mean())) - print("\t\tSpearman correlation: ", util.spearmanr_nonan(y[test], y_pred)[0]) - print("\t\tfinished fold/gene %i of %i" % (i+1, len(fold_labels))) - - - cv_median_metric =[np.median(metrics)] - gene_pred = [(truth, predictions)] - print("\t\tmedian %s across gene folds: %.3f" % (learn_options["training_metric"], cv_median_metric[-1])) - - t3 = time.time() - print("\t\tElapsed time for cv is %.2f seconds" % (t3-t2)) - return metrics, gene_pred, fold_labels, m, dimsum, filename, feature_names diff --git a/auto_search_corrected/azimuth/predict.pyc b/auto_search_corrected/azimuth/predict.pyc deleted file mode 100644 index f8e4f44..0000000 Binary files a/auto_search_corrected/azimuth/predict.pyc and /dev/null differ diff --git a/auto_search_corrected/azimuth/saved_models/V3_model_full.pickle b/auto_search_corrected/azimuth/saved_models/V3_model_full.pickle deleted file mode 100644 index ba63ec4..0000000 Binary files a/auto_search_corrected/azimuth/saved_models/V3_model_full.pickle and /dev/null differ diff --git a/auto_search_corrected/azimuth/saved_models/V3_model_nopos.pickle b/auto_search_corrected/azimuth/saved_models/V3_model_nopos.pickle deleted file mode 100644 index caf7ec9..0000000 Binary files a/auto_search_corrected/azimuth/saved_models/V3_model_nopos.pickle and /dev/null differ diff --git a/auto_search_corrected/azimuth/tests/1000guides.csv b/auto_search_corrected/azimuth/tests/1000guides.csv deleted file mode 100644 index bc2c500..0000000 --- a/auto_search_corrected/azimuth/tests/1000guides.csv +++ /dev/null @@ -1,948 +0,0 @@ -,guide,Stable prediction -0,AAAAAAAAAAAAAAAAAAATGCAGCGGGAG,0.500929648 -1,AAAAAAAAAAAAAAAAAATGCAGCGGGAGT,0.532839075 -2,AAAAAAAAAAAAAAAAAATGGCGGCGGCGA,0.510712663 -3,AAAAAAAAAAAAAAAGCTAACAGCAGGAGT,0.529037438 -4,AAAAAAAAAAAAAAAGGTACCTTCTGGCCA,0.413359992 -5,AAAAAAAAAAAAAACACATACCTCGGGGGA,0.480904618 -6,AAAAAAAAAAAAAAGACTCACAGGTGGACC,0.691191617 -7,AAAAAAAAAAAAAAGTTTTATGGGCGGATG,0.559623683 -8,AAAAAAAAAAAAAATAGATATAATTGGCCT,0.311123657 -9,AAAAAAAAAAAAACACATACCTCGGGGGAT,0.668804284 -10,AAAAAAAAAAAAACAGTTTTGGGGCGGGGC,0.571407932 -11,AAAAAAAAAAAAAGAAAGTAATGATGGATA,0.524918254 -12,AAAAAAAAAAAAAGAGCTTACGGCAGGTTT,0.501640341 -13,AAAAAAAAAAAAAGGATACAATCTTGGAAT,0.437200887 -14,AAAAAAAAAAAAAGGATCAGTCCGTGGAGT,0.625333315 -15,AAAAAAAAAAAACACATACCTCGGGGGATA,0.689589531 -16,AAAAAAAAAAAACAGTTTTGGGGCGGGGCG,0.430197267 -17,AAAAAAAAAAAAGCCCTCACCAACTGGGGC,0.35665676 -18,AAAAAAAAAAAATGCAGCGGGAGTTGGTGG,0.480411955 -19,AAAAAAAAAAACAAACAGATTATGAGGACT,0.536458809 -20,AAAAAAAAAAACACTCACATGGGTAGGAGA,0.549516956 -21,AAAAAAAAAAACAGTTTTGGGGCGGGGCGT,0.419922432 -22,AAAAAAAAAAACCAATCTTACCTTTGGCAT,0.441519218 -23,AAAAAAAAAAACCAATGTTAGAAAAGGTTT,0.399158217 -24,AAAAAAAAAAACGTACCTCATGAATGGTTT,0.504658429 -25,AAAAAAAAAAACTTACCTCAGTTCTGGAAG,0.332848468 -26,AAAAAAAAAAAGCCCTCACCAACTGGGGCA,0.522529641 -27,AAAAAAAAAAAGCTTACCTCTGCCAGGTAG,0.502133598 -28,AAAAAAAAAAAGGATACTTACAATAGGTCT,0.504253459 -29,AAAAAAAAAAAGTACCTTGGCTTCCGGATT,0.354386523 -30,AAAAAAAAAAAGTCACTCACCTGCCGGGAC,0.495836804 -31,AAAAAAAAAAATTTACCTCTACACAGGCTT,0.557419024 -32,AAAAAAAAAACAACATGGCTGCAAAGGAGA,0.530600568 -33,AAAAAAAAAACAAGTCTAGTTCTGTGGTGG,0.632346243 -34,AAAAAAAAAACAGAGTCTTACTGTTGGCTA,0.601727018 -35,AAAAAAAAAACCATGGCAGCAAGGCGGATG,0.695704093 -36,AAAAAAAAAACCTCACTGACCAGGTGGACC,0.680422255 -37,AAAAAAAAAACTTACAAGTCCAGGAGGTCC,0.703280997 -38,AAAAAAAAAACTTACCCCTTTGACTGGCCA,0.489200608 -39,AAAAAAAAAAGAAAAAAGAAGAGAAGGACA,0.419591592 -40,AAAAAAAAAAGAAAGGATACGTCCTGGTAC,0.574217767 -41,AAAAAAAAAAGAAATACCTTGAAGAGGTGC,0.626497716 -42,AAAAAAAAAAGAACTAACCTAGAAAGGCTG,0.43473819 -43,AAAAAAAAAAGAGAATTGGAAAATAGGACA,0.316892106 -44,AAAAAAAAAAGCAACCTACCGTCTTGGAAT,0.509359846 -45,AAAAAAAAAAGCAACTTACCCCCTCGGCTC,0.621820679 -46,AAAAAAAAAAGCCCTCACCAACTGGGGCAA,0.628129025 -47,AAAAAAAAAAGCCCTTACCGCATCTGGATA,0.37896091 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-351,AAAAAAACTGGCAGCGAATGTTACTGGTGC,0.415402928 -352,AAAAAAACTGGTGCTGAAGGTATTTGGATA,0.291102236 -353,AAAAAAACTGGTTTTCAGGTCACTTGGGCA,0.470778607 -354,AAAAAAACTTACACTTGGCCAGCAAGGGGT,0.534928765 -355,AAAAAAACTTACATGCCCAAGTGTTGGCCC,0.55875314 -356,AAAAAAACTTACCCAGTGTTCCACAGGGCT,0.515598426 -357,AAAAAAACTTACCTCAGTTCTGGAAGGAAA,0.605873682 -358,AAAAAAACTTACTTGGAAGCTTTCTGGGAT,0.169751103 -359,AAAAAAACTTGATCCTCGAAGAGAAGGTGG,0.516020948 -360,AAAAAAACTTGATCCTCGGAGAGAAGGAGG,0.504264538 -361,AAAAAAACTTGCATCATCTTATAGTGGAAT,0.503250458 -362,AAAAAAACTTGCCTTGTGAACCTCTGGAAT,0.410859619 -363,AAAAAAACTTGTCGGATTCGGGAGAGGAGC,0.573068168 -364,AAAAAAACTTTCAGGCTGTCTCACAGGGCA,0.421485264 -365,AAAAAAACTTTGAAGCTGTCTCCCAGGGCA,0.485131127 -366,AAAAAAACTTTGACAAATTGAAGATGGATG,0.49852147 -367,AAAAAAACTTTGACAAGTTGAAGATGGATG,0.50977619 -368,AAAAAAACTTTGCTGCCAATACTCTGGGTA,0.319512096 -369,AAAAAAACTTTTTAAAAAGGCAGTGGGGAG,0.489579421 -370,AAAAAAAGAAAAAAAAAAACAACATGGCTG,0.689912109 -371,AAAAAAAGAAAAAACACCTACCGATGGAAA,0.603135132 -372,AAAAAAAGAAAAAGAAAAGGCCGAAGGTCA,0.591488099 -373,AAAAAAAGAAAAAGAAAAGGTCAAAGGCAA,0.565381356 -374,AAAAAAAGAAAAAGTCCAATCACCAGGAAT,0.606173143 -375,AAAAAAAGAAAAAGTCCAGTAACCGGGAAT,0.567505369 -376,AAAAAAAGAAAAATACCTTGGCCCTGGTAG,0.484830306 -377,AAAAAAAGAAAAGGAAGAAAACCTCGGTGG,0.718920374 -378,AAAAAAAGAAACAAGACCAAACTCTGGTCT,0.588598356 -379,AAAAAAAGAAACATAATAGTACTTTGGAAA,0.439554783 -380,AAAAAAAGAAACATGCTCAGACCACGGTTT,0.638879174 -381,AAAAAAAGAAACCAAAGAATTTGGAGGTGC,0.613156084 -382,AAAAAAAGAAACTCCAGTTTTCTCCGGATA,0.475541457 -383,AAAAAAAGAAAGATCATTGAGTTCAGGATC,0.406451013 -384,AAAAAAAGAAAGATTTGGCAAAACAGGTCC,0.366219807 -385,AAAAAAAGAAAGCAGGAGACACAGCGGGCA,0.638771506 -386,AAAAAAAGAAAGCCATGACTGTGGGGGAGT,0.673330588 -387,AAAAAAAGAAAGTGCCTTACTGTAGGGAAA,0.515887432 -388,AAAAAAAGAAATCAGAAGAGGGATGGGCTA,0.525550305 -389,AAAAAAAGAAATCCTATACCTGAGAGGACG,0.696991999 -390,AAAAAAAGAAATGGCATTTTGACTTGGTCT,0.517640905 -391,AAAAAAAGAACAAATGGAACGCGATGGTTG,0.657008896 -392,AAAAAAAGAACATACCTATGTTGTAGGAAC,0.457089684 -393,AAAAAAAGAACATCTTGTTGATATGGGCAT,0.438764226 -394,AAAAAAAGAACCCTAGAGAGTGCTGGGCTG,0.538848242 -395,AAAAAAAGAACTTACCTTCTGGATGGGAGG,0.491338261 -396,AAAAAAAGAAGAAACATATTGACTAGGACT,0.651656949 -397,AAAAAAAGAAGAAATATATTGGCCAGGGTT,0.495177417 -398,AAAAAAAGAAGAAATATATTGGCTAGGGTT,0.505130831 -399,AAAAAAAGAAGACCGTACCACAAAAGGTTA,0.398242399 -400,AAAAAAAGAAGCTAAATTTGGATTTGGCTG,0.325617953 -401,AAAAAAAGAAGGAAGGTACTCTGATGGAAG,0.555032231 -402,AAAAAAAGAAGTAAAAATCTATGTGGGTCT,0.54437791 -403,AAAAAAAGAAGTTCCCGTGAGTCCTGGTCA,0.514551508 -404,AAAAAAAGAAGTTTGACAAAGAGACGGAAA,0.598152266 -405,AAAAAAAGAATGATAATCTTTTAAAGGCTC,0.181339215 -406,AAAAAAAGACAACAAAGCTGCGATTGGAAA,0.502934052 -407,AAAAAAAGACAAGGGTACCTATTATGGCTG,0.238521604 -408,AAAAAAAGACAGGTGTCTCCATGATGGATC,0.57703268 -409,AAAAAAAGACATGGCATTCTGACTTGGTCT,0.543209715 -410,AAAAAAAGACCACCAAACTACGACTGGAAA,0.486627007 -411,AAAAAAAGACTCACAGGTGGACCCTGGGTT,0.542049422 -412,AAAAAAAGACTCAGCATCCCCCAATGGTCA,0.631835193 -413,AAAAAAAGACTCTTACCTCAAAGCTGGTGA,0.535159307 -414,AAAAAAAGACTGAGGAAATCATGAAGGAAG,0.622056158 -415,AAAAAAAGACTGGCAGCAAGAGTGTGGATG,0.589753763 -416,AAAAAAAGACTGGTGCGAGGAAGAAGGCTG,0.572468742 -417,AAAAAAAGAGAAAGAAAGTTTTATTGGAAA,0.199447509 -418,AAAAAAAGAGAACGTGAACCCGCTGGGCTG,0.594238608 -419,AAAAAAAGAGAAGGTGTCACTCCCTGGGCA,0.480717508 -420,AAAAAAAGAGACAAAGACTACAGAAGGAAA,0.544209259 -421,AAAAAAAGAGATAAAGACTACAGAAGGAAA,0.578036756 -422,AAAAAAAGAGCAAATGGAACGAGATGGATG,0.617273652 -423,AAAAAAAGAGCCACAGCAGTGAGGTGGGAG,0.540229264 -424,AAAAAAAGAGCGACGAGTGCAAGGTGGGTG,0.682633354 -425,AAAAAAAGAGGATTACCCATAGAAGGGATT,0.498082765 -426,AAAAAAAGAGTACCTGTGCCTAGTTGGTCA,0.419671088 -427,AAAAAAAGAGTTACCGATAAAGCCTGGAGC,0.521349701 -428,AAAAAAAGAGTTTGAAGCTAATTTTGGCAA,0.246751586 -429,AAAAAAAGAGTTTTACCTCAAGAATGGTAA,0.470204485 -430,AAAAAAAGATAAATTATGTCTTTCAGGTAC,0.187668009 -431,AAAAAAAGATACACCGTTGTCGATGGGAAG,0.597599002 -432,AAAAAAAGATACCTGTCATACTGTTGGGAG,0.460915474 -433,AAAAAAAGATGAAGCTGGGCAAAGTGGAGT,0.629954823 -434,AAAAAAAGATGAAGTTGGGCAAAGTGGAGT,0.679283144 -435,AAAAAAAGATGACACAATTGGAGATGGAAA,0.530583265 -436,AAAAAAAGATGATGAAGACACAACTGGAAT,0.499447274 -437,AAAAAAAGATGGTAAAGGGATTAGAGGTTC,0.464832741 -438,AAAAAAAGATTACCACAACAGATAAGGCAC,0.546261226 -439,AAAAAAAGATTCACTTACCTCTTGAGGAAA,0.497260609 -440,AAAAAAAGATTCTGTCAGGGGAAAAGGAGT,0.439498585 -441,AAAAAAAGATTGCAGAGCTTGAAATGGGAC,0.335731294 -442,AAAAAAAGCAAATGAAGAAAAAGATGGACC,0.545446481 -443,AAAAAAAGCACGAAACCACCTTGCTGGGGT,0.468848066 -444,AAAAAAAGCAGAAACAAGAAGCCAAGGCTA,0.545611785 -445,AAAAAAAGCAGCTGCTTTCAGAGGAGGAAA,0.585298837 -446,AAAAAAAGCAGTAAGAGGAGAAAAAGGCGG,0.376346911 -447,AAAAAAAGCAGTGGTGGCGGCCTTGGGTTG,0.425815953 -448,AAAAAAAGCATTCGCACCTGAAGTTGGGCC,0.487406994 -449,AAAAAAAGCCAAGATTAAAATTAAAGGTTA,0.268469853 -450,AAAAAAAGCCAATTGACCAGCGATTGGAAG,0.503016236 -451,AAAAAAAGCCCAGCACAGGAGAGCGGGGCC,0.403568193 -452,AAAAAAAGCCCTTACAATGATTTCAGGTTC,0.193908943 -453,AAAAAAAGCCGACTTACATGCTTTAGGTGC,0.425065092 -454,AAAAAAAGCCGTGGCAGCTTCAGGGGGAAG,0.669637786 -455,AAAAAAAGCCTGAAGACATTAAGAAGGAAG,0.543131414 -456,AAAAAAAGCCTGCTGGATGCTTGGAGGAAC,0.507374067 -457,AAAAAAAGCCTTCCGGTCACCCTCTGGCAG,0.490252957 -458,AAAAAAAGCGAAAGAAAGTTTTGCTGGAAA,0.387706516 -459,AAAAAAAGCGAAGGTTGGAAGAGGAGGCTC,0.593809612 -460,AAAAAAAGCGAGTCCTTACCGGGATGGCAC,0.563030603 -461,AAAAAAAGCGCCTTAGCGCCAGCCAGGCCC,0.404109419 -462,AAAAAAAGCGCTGCACTTCATCCGCGGAGC,0.67118137 -463,AAAAAAAGCGCTGTCTCCAGCAGGGGGAAG,0.662812742 -464,AAAAAAAGCGGGTGCCGTGCTTGGCGGGTT,0.551152697 -465,AAAAAAAGCGTGATGATTCCAATGAGGACA,0.728312535 -466,AAAAAAAGCGTTCATAGATAGAATTGGAGG,0.430666507 -467,AAAAAAAGCTAACAGTTACCTCACAGGGCT,0.571861471 -468,AAAAAAAGCTAATTTTTGCTACTTGGGTTG,0.269813453 -469,AAAAAAAGCTATTGCTACCTTCCATGGGAG,0.4593649 -470,AAAAAAAGCTCGGGCACCACGGGTGGGGGC,0.480658516 -471,AAAAAAAGCTGAAGGAGGAACATGAGGACG,0.648391356 -472,AAAAAAAGCTGCAGCATGGTTAAGGGGCAG,0.495964069 -473,AAAAAAAGCTGGAAAAAGAAGAAGAGGAAA,0.485877943 -474,AAAAAAAGCTGGTGAGATGCCAGGAGGGAG,0.709351657 -475,AAAAAAAGCTTAAATTGACCTCAGTGGAGA,0.676746838 -476,AAAAAAAGCTTACCTCTGCCAGGTAGGTAA,0.551737955 -477,AAAAAAAGCTTACTGGTTCTGTAAGGGAAG,0.526125492 -478,AAAAAAAGCTTGCACTTACTCAGAGGGGAA,0.566727178 -479,AAAAAAAGGAAAAAAGGAAACATGTGGACC,0.649133146 -480,AAAAAAAGGAAAAGAAAGACAAGAAGGACA,0.568585909 -481,AAAAAAAGGAAAAGGAAATGCTTTTGGTAA,0.265406583 -482,AAAAAAAGGAAAGAAAAAATCTGTAGGTCG,0.659516617 -483,AAAAAAAGGAAATAGCAATCTTACGGGAAA,0.492737515 -484,AAAAAAAGGAACCAGACAGGATCCAGGACC,0.530449027 -485,AAAAAAAGGAAGAAGAAGACCAAGGGGTCT,0.733307844 -486,AAAAAAAGGAAGAGTTGCCTTTGTGGGAGA,0.404164385 -487,AAAAAAAGGAAGTCATCTTACATCTGGCAT,0.462839283 -488,AAAAAAAGGAATAGGAGGAAATGGGGGTTT,0.662056048 -489,AAAAAAAGGACAAAGAGGAGCAGCTGGAGG,0.40189024 -490,AAAAAAAGGACCTGAAGTAAATCCTGGGAG,0.400037859 -491,AAAAAAAGGACTACTTCTAGCCAATGGCAG,0.58670506 -492,AAAAAAAGGACTTACAGACCCGAGTGGAAT,0.758043093 -493,AAAAAAAGGAGAAAAAACAAGAGGAGGAGG,0.483670199 -494,AAAAAAAGGAGAAACAGATTGGCTAGGATT,0.63544704 -495,AAAAAAAGGAGAAACATATTTGGTAGGAGT,0.585102165 -496,AAAAAAAGGAGAAAGAGAAATCAAAGGATA,0.595842432 -497,AAAAAAAGGAGAAGAAGAAAAAGAAGGAGA,0.485739347 -498,AAAAAAAGGAGAAGATGGAGGAGGAGGGTG,0.413155203 -499,AAAAAAAGGAGATAAGATGTGCCCAGGGTA,0.491725488 -500,AAAAAAAGGATCCAATTGGTCCTGGGGTTT,0.629396729 -501,AAAAAAAGGATTTACAGACGCGAGTGGAGT,0.644342058 -502,AAAAAAAGGATTTTTGCTTCTTCAGGGACT,0.418978714 -503,AAAAAAAGGCAACAAATCTAAGAAAGGTGA,0.54459437 -504,AAAAAAAGGCAGCACAAATCTAAAGGGACA,0.478609312 -505,AAAAAAAGGCATGGCTCCAGATGAAGGAGG,0.515654385 -506,AAAAAAAGGCCAGACAGTCTTTAAAGGGGC,0.32376603 -507,AAAAAAAGGCCTCCGATGAAGCAGAGGAAA,0.621791857 -508,AAAAAAAGGCCTCCGATGAAGCAGAGGAAG,0.621791857 -509,AAAAAAAGGCTACGTAGGCACTCTGGGGAA,0.416895449 -510,AAAAAAAGGGAGATTTAATGGAGATGGAAA,0.510611097 -511,AAAAAAAGGGCTGCTTCCAGCAAGAGGCAT,0.574706407 -512,AAAAAAAGGGGAAAGCCCTTGAGCTGGGCG,0.509559618 -513,AAAAAAAGGGGAGTCATTGCTTGGAGGTGA,0.642214464 -514,AAAAAAAGGGGTGATTTCCTGATGTGGAAA,0.59049583 -515,AAAAAAAGGGTATCATGAAGTAGAGGGAAA,0.529274201 -516,AAAAAAAGGGTGAGGATTCCAATCAGGACA,0.523275985 -517,AAAAAAAGGTCTGCAAGAGAAGAACGGAAA,0.587176005 -518,AAAAAAAGGTTTACAATACCTTAGGGGGGT,0.585930732 -519,AAAAAAAGTACAGCACCTTCAATAAGGCTT,0.449628313 -520,AAAAAAAGTACCATGAGGTGGCATTGGAGG,0.493189944 -521,AAAAAAAGTAGCAGATGAAACTCCAGGTGA,0.520125945 -522,AAAAAAAGTATTACCTCATGCCTCAGGGTT,0.435195639 -523,AAAAAAAGTCAGAAAGGTGCCTCCTGGTTT,0.530840226 -524,AAAAAAAGTCAGTTACTAACACACAGGGAA,0.59022649 -525,AAAAAAAGTCCATAAATTTTTCGATGGGAC,0.498182176 -526,AAAAAAAGTCCCAGTAACCTTTGTTGGGGC,0.432700814 -527,AAAAAAAGTCCTGTAGCACTCACTTGGAGG,0.552328485 -528,AAAAAAAGTCGTTGATCGCTTACGTGGGGG,0.582562067 -529,AAAAAAAGTCTGCAGACTTACTGAAGGAGC,0.597928165 -530,AAAAAAAGTCTGCTACTACTACGACGGTGA,0.686126719 -531,AAAAAAAGTCTTACCTTAAATGTCAGGAGA,0.478544544 -532,AAAAAAAGTCTTGGTGGGGATATGAGGTTC,0.537073116 -533,AAAAAAAGTGAAGAAGTCTGACTGTGGAGA,0.673638212 -534,AAAAAAAGTGAGCAAGGCGAAGAATGGGTA,0.448554382 -535,AAAAAAAGTGGACCTCCTTCCTAAAGGCCA,0.537087825 -536,AAAAAAAGTGGTCGTAGTAAAAAATGGAAG,0.441588671 -537,AAAAAAAGTGTAACTACCATGATGTGGGAG,0.580661634 -538,AAAAAAAGTGTATGAAGAACATCTGGGCCA,0.621072682 -539,AAAAAAAGTGTGGAATTTCCATTTCGGTGC,0.43771125 -540,AAAAAAAGTTAGACAGTCAGATACTGGTAG,0.489131384 -541,AAAAAAAGTTATCTGACTGCTTGCAGGGGA,0.322684699 -542,AAAAAAAGTTCAGAAATGACTTTTGGGTCC,0.367438754 -543,AAAAAAAGTTGAAACGAAAAATCCTGGGAC,0.450153782 -544,AAAAAAATAAAAGAGATGCAGAAAGGGGAG,0.359529645 -545,AAAAAAATAAAGTATTTGCAGTCTGGGGGC,0.397992533 -546,AAAAAAATAAATCCACCTCTTGCAGGGTGG,0.61310152 -547,AAAAAAATAACAAACTTTTTCAGAGGGGAT,0.532207314 -548,AAAAAAATAACATTCCAGAACCAGTGGTCA,0.65168514 -549,AAAAAAATAAGCTCACCCAGGATCAGGATC,0.422959158 -550,AAAAAAATAAGTATCGTCACCAACTGGAAT,0.431182537 -551,AAAAAAATAAGTCAAAAATACCATTGGATG,0.549943254 -552,AAAAAAATAAGTCAAGAAAACCACTGGATG,0.555723813 -553,AAAAAAATAAGTTAAAAAAACCATTGGATG,0.549943254 -554,AAAAAAATAATCTCACCTGGTTCAAGGTAG,0.403834976 -555,AAAAAAATAATGGAACTCACCTGTAGGCAA,0.614477403 -556,AAAAAAATAATTAAGGAAGATCCTCGGTGC,0.642409472 -557,AAAAAAATACACATTATACCTGGTAGGACA,0.62266925 -558,AAAAAAATACATACCACTGGTATTTGGACT,0.309836796 -559,AAAAAAATACCAAAATCCCCCCTGAGGAAT,0.725141059 -560,AAAAAAATACCACATGCAGATTGTGGGGGA,0.487350782 -561,AAAAAAATACGCAGAAGATATAGAAGGGAA,0.554281923 -562,AAAAAAATACTCACCCCCTTCTCCAGGCGT,0.506911748 -563,AAAAAAATACTCACGACCGTATCTGGGGAA,0.452495161 -564,AAAAAAATACTCATTTTTGAAAAGAGGCAA,0.472388202 -565,AAAAAAATACTTAAAAAGTGCAATGGGCGA,0.479831252 -566,AAAAAAATACTTACTACTTGATTTTGGGCC,0.125891229 -567,AAAAAAATACTTGCAGAAAATAGTAGGAAA,0.527580484 -568,AAAAAAATACTTTTCCAAGAGACACGGAAT,0.688607201 -569,AAAAAAATAGAAGAGACAGATGCAAGGGAA,0.633651042 -570,AAAAAAATAGACCTGAATTTCTTCAGGGTT,0.233646748 -571,AAAAAAATAGATTCAAAAGAGATAGGGGCT,0.425789921 -572,AAAAAAATAGCCAGCCTCAGCTATGGGAGT,0.509040197 -573,AAAAAAATAGCCTGCCTCAGCTATGGGAGT,0.472142977 -574,AAAAAAATAGCTGTGTGATTTTGTAGGGAA,0.417635109 -575,AAAAAAATAGGAAAACTTCATTTATGGAAT,0.100615549 -576,AAAAAAATAGGATGGAAGAATGGATGGCAA,0.556587543 -577,AAAAAAATAGGTTTTTTCCTCGACAGGATT,0.399869615 -578,AAAAAAATATAATAAGGCTGAGTGCGGAGC,0.655884633 -579,AAAAAAATATACATACGCGGCTGTTGGAAA,0.496175766 -580,AAAAAAATATCATGGACCTGTATGTGGAGA,0.535050028 -581,AAAAAAATATGCAGAGAAGTATTCCGGCAT,0.389185755 -582,AAAAAAATATGCTACTTACTTGATTGGCTA,0.368615075 -583,AAAAAAATATTTCCTACCCTTTGATGGGTC,0.314831077 -584,AAAAAAATCAACCAAAGAAAAGGCTGGACC,0.557363636 -585,AAAAAAATCACAATTGGGAACCACTGGGTG,0.478791399 -586,AAAAAAATCACTGCCAATTCTACTTGGCAG,0.478283784 -587,AAAAAAATCAGAAGTCACTGTTTAAGGACC,0.251968146 -588,AAAAAAATCAGCTGGGTGTGGTGGCGGGTG,0.435638097 -589,AAAAAAATCAGTGAGCAAGAAAGTAGGTCT,0.573566556 -590,AAAAAAATCATCACAAAACACAAATGGAGT,0.453097454 -591,AAAAAAATCATTTAAACCAGATTTTGGAGC,0.230335502 -592,AAAAAAATCATTTAAACCCGATTTTGGAGC,0.203555591 -593,AAAAAAATCCAACTGCAAAGGCTCAGGGAT,0.39714238 -594,AAAAAAATCCAGCTGCAAGGGCTCAGGGAT,0.351714341 -595,AAAAAAATCCATGTGTTAGGATTTAGGTAA,0.255803445 -596,AAAAAAATCCCAAACAGAATCCATTGGAGA,0.503742367 -597,AAAAAAATCCCTTCTCATGTTCAAAGGCAC,0.498966458 -598,AAAAAAATCCTAACCTCTCAGCATGGGTGT,0.575644966 -599,AAAAAAATCCTCACCTGCAGGATTTGGTAA,0.339926345 -600,AAAAAAATCGGAAGATGTTCATGGCGGTTA,0.775706398 -601,AAAAAAATCGGATGGAAGACCAGGAGGAAA,0.678034486 -602,AAAAAAATCGTGTGATGCCACAAAAGGACA,0.462729791 -603,AAAAAAATCTACTTACATCCTTTAGGGTAA,0.276425955 -604,AAAAAAATCTCACTTACTTTGGATTGGAAG,0.390002388 -605,AAAAAAATCTCAGGCTCTGATGCTAGGCAG,0.524046546 -606,AAAAAAATCTCCGAAACCAGTCTGTGGCAA,0.625568688 -607,AAAAAAATCTGTAGGTTCTGACTGGGGAGA,0.684133268 -608,AAAAAAATCTGTCAAGTCATAAAAAGGCTA,0.311010079 -609,AAAAAAATCTTACCAAAATTTGTAAGGTCA,0.44421078 -610,AAAAAAATCTTACCTGAGCCATTATGGATC,0.27863487 -611,AAAAAAATCTTCCTCCTTTGGAGGAGGGGA,0.47751985 -612,AAAAAAATCTTCCTCCTTTGGTGGAGGGGA,0.458486172 -613,AAAAAAATCTTTAAAACATACCTTTGGAAG,0.427296472 -614,AAAAAAATCTTTAAAACTTACCTGGGGAAC,0.681543397 -615,AAAAAAATGAAATTAAGAAAAAGAAGGATA,0.544818589 -616,AAAAAAATGAACATACCTGATTCCTGGCCA,0.408709237 -617,AAAAAAATGAACCGAGATTATACAAGGAAT,0.638679846 -618,AAAAAAATGAAGAACGAAGAAAGGAGGATG,0.612417827 -619,AAAAAAATGAAGATTTAGGACAGGAGGAAA,0.553924006 -620,AAAAAAATGAATGAGAAAAGGAAAAGGGAA,0.475381561 -621,AAAAAAATGAATGCTGTCACCATTTGGTAG,0.416639233 -622,AAAAAAATGAGCCTACCTCTTCCAAGGTAG,0.606265213 -623,AAAAAAATGAGGAAAGTCAACTGGAGGAAG,0.657755226 -624,AAAAAAATGAGGCCGAAAATTTAGAGGAAA,0.472305284 -625,AAAAAAATGATGACAACAGCAATGTGGGAT,0.650977149 -626,AAAAAAATGATTCTTACCCATTGCAGGGGT,0.378815637 -627,AAAAAAATGCAACGTCTTACTTCATGGTTC,0.419513488 -628,AAAAAAATGCAACTAAAGAAGCACTGGAAG,0.480240646 -629,AAAAAAATGCAAGAAGATTATGATAGGATT,0.529270691 -630,AAAAAAATGCACAGCTGCAGTCCTTGGAGC,0.479521484 -631,AAAAAAATGCAGTGTAAGAAGCATTGGAAG,0.474421944 -632,AAAAAAATGCATCATACCTGACACTGGGTA,0.51867184 -633,AAAAAAATGCATTTGCAGTTCGATAGGCAG,0.567925227 -634,AAAAAAATGCCAAGCATGGGATCTAGGGAC,0.397587799 -635,AAAAAAATGCTGAACTCACCAGAGTGGCAA,0.728378986 -636,AAAAAAATGCTGTAGGAACTGAATGGGACA,0.424987927 -637,AAAAAAATGCTGTGCTAGACAGAATGGCGG,0.563361854 -638,AAAAAAATGCTTGCAAACATGTTCAGGGTA,0.251370656 -639,AAAAAAATGGAACAAATAAAAGCAGGGAAC,0.618917625 -640,AAAAAAATGGAATTCCTATTCGTACGGTCA,0.582511829 -641,AAAAAAATGGACAACAAAGAAATACGGAGA,0.420071007 -642,AAAAAAATGGACCAGATCTCAGAAAGGGAA,0.639240153 -643,AAAAAAATGGAGAAGCTGATGTCTGGGGAA,0.536839677 -644,AAAAAAATGGAGACAAATAATATTTGGCAT,0.327309824 -645,AAAAAAATGGATCCACTGCTTTGAAGGAGT,0.289810239 -646,AAAAAAATGGTATGGAAGAAATAATGGAAA,0.317224617 -647,AAAAAAATGGTGCTTACCATCATGAGGAGA,0.649280569 -648,AAAAAAATGTACATGGGTATATGGAGGCTG,0.632441328 -649,AAAAAAATGTAGCCAGTCCAAGCAGGGTGA,0.627329139 -650,AAAAAAATGTATTTTTCTGAAAAAAGGAAT,0.314510584 -651,AAAAAAATGTCTCTGTGATGACAATGGTCT,0.624585569 -652,AAAAAAATGTCTGGAGGCCAGAGCGGGTAT,0.567958352 -653,AAAAAAATGTCTTCAGATAACCAGTGGTCA,0.676033001 -654,AAAAAAATGTGAATCAGTCACTACTGGAAC,0.506655964 -655,AAAAAAATGTGCCAAAGATGAGGAGGGAAC,0.687257467 -656,AAAAAAATGTGCCTCCCTACCTTTCGGCAG,0.422434191 -657,AAAAAAATGTTAATTTACCTTGATGGGAAG,0.392336954 -658,AAAAAAATGTTGGTGCTTCGGTGCAGGCTT,0.429248557 -659,AAAAAAATGTTTAGATCTCAAACAAGGTAA,0.640172503 -660,AAAAAAATGTTTTATAAAAATCTCTGGTGG,0.438855557 -661,AAAAAAATTAAAATATAAACCTGTTGGTTG,0.536063352 -662,AAAAAAATTAAATTTTAACCATGAGGGAAA,0.53519095 -663,AAAAAAATTAACTAACCTGAAAAATGGATC,0.344034108 -664,AAAAAAATTAATACTTACTTCCACTGGCAA,0.486083161 -665,AAAAAAATTAGAGGGGATTCATGATGGAGC,0.544043823 -666,AAAAAAATTATACTTACATTTCCAGGGAAC,0.599648869 -667,AAAAAAATTATCATTACCTGATCAAGGTTT,0.505351573 -668,AAAAAAATTATCTCACACCAATCCTGGAGG,0.417619984 -669,AAAAAAATTATGAGTATAACCAATGGGGTA,0.444632299 -670,AAAAAAATTATGGCCCACGAGAGGCGGGAG,0.509337994 -671,AAAAAAATTATTGTTTATTCCAACGGGAAT,0.425364808 -672,AAAAAAATTCAACTTACGCCCCCCAGGCCA,0.518751401 -673,AAAAAAATTCAATGGAGATAGCAAAGGTAT,0.634000928 -674,AAAAAAATTCACTGCTGCACTCACAGGATC,0.495209316 -675,AAAAAAATTCATGCATCTCAACAAAGGTGG,0.592804606 -676,AAAAAAATTCCAGAGGGATAATAAAGGTAA,0.507042583 -677,AAAAAAATTCCTGGTTACCGTTGGGGGGAC,0.54376025 -678,AAAAAAATTCTGTAATCTAATACTTGGAAT,0.425133714 -679,AAAAAAATTCTGTAATCTGATTCTTGGAAT,0.245764063 -680,AAAAAAATTCTTTTGAGGTGGAAGTGGTCT,0.50074611 -681,AAAAAAATTGAAAAAAAGAAAAGAAGGTGC,0.498087232 -682,AAAAAAATTGAAAAAGAAGTCAGAAGGAGA,0.547060832 -683,AAAAAAATTGCTGTAGGAACTGAATGGGAC,0.588144006 -684,AAAAAAATTGGAGGCCTTTCCCCTGGGCAC,0.593016841 -685,AAAAAAATTGGCAAGCTACTTTATGGGAAG,0.218094588 -686,AAAAAAATTGGGAAACGTTGGGTTTGGAGC,0.364452263 -687,AAAAAAATTGGTTTCTCTGAGTCTAGGTTT,0.482344672 -688,AAAAAAATTGGTTTTTCGGTGTCTAGGTCT,0.464806643 -689,AAAAAAATTGTCAGTTCTGGGACTCGGGGG,0.451386013 -690,AAAAAAATTGTGTGATGTTACAACAGGACT,0.488044172 -691,AAAAAAATTGTTTTTTGACAGGGTTGGACA,0.444404082 -692,AAAAAAATTTAAACTAACCCGTAATGGACA,0.559989072 -693,AAAAAAATTTATTAAATTAGTGAAAGGAGA,0.532228618 -694,AAAAAAATTTCAACACAAATCTGCTGGAAT,0.500946279 -695,AAAAAAATTTCACTTACTTTGGACTGGAAA,0.417159261 -696,AAAAAAATTTGTAGTTACCTGCCATGGCTC,0.474886595 -697,AAAAAAATTTGTGAGTGAAAATGAAGGGGC,0.582508816 -698,AAAAAAATTTTAAATACCTTTGCTGGGTCA,0.563561893 -699,AAAAAAATTTTCTTTTCCACAATGTGGTTC,0.585842329 -700,AAAAAAATTTTGGATTGTATGTTCAGGAGA,0.371868377 -701,AAAAAAATTTTGTTGGACAAATTTTGGTGT,0.235197032 -702,AAAAAAATTTTTAAACATAAGTTTAGGTGA,0.317867127 -703,AAAAAAATTTTTACAATGAACATGAGGAGA,0.590701945 -704,AAAAAAATTTTTTTGAGGTGGAAGTGGTCT,0.415634684 -705,AAAAAAATTTTTTTTTACCATAACCGGAGG,0.304679501 -706,AAAAAACAAAAATATGAGCTGTGCAGGTGT,0.481767767 -707,AAAAAACAAAAATGGGAAGAAGCAAGGGCC,0.530951799 -708,AAAAAACAAAACTAACCTGGGTGTTGGGAT,0.423685912 -709,AAAAAACAAAACTAATTAGCTGCTTGGCGG,0.445985616 -710,AAAAAACAAAACTATTTTTACCTTTGGTGG,0.325814837 -711,AAAAAACAAAATAACAAGTGAAGGAGGGAA,0.574878334 -712,AAAAAACAAACAATTTACCTTTGCTGGATG,0.169487025 -713,AAAAAACAAACAGTACCTCGATTTGGGGTT,0.193547681 -714,AAAAAACAAACCATTCTAGGACCTTGGAAT,0.457737263 -715,AAAAAACAAAGATGGAAAAGACCAAGGTGA,0.661852556 -716,AAAAAACAAAGCCAATGCTGGAGACGGAGG,0.536969227 -717,AAAAAACAAAGCCAGAAATTTTAAAGGTAA,0.229564598 -718,AAAAAACAAAGGCAGCCGTAACTCAGGTTG,0.483402023 -719,AAAAAACAAAGTGCAGGGCTCTGAAGGGCA,0.440196127 -720,AAAAAACAAATCCATTTCATTTGCTGGATG,0.248756441 -721,AAAAAACAAATTAAATCAAGACTCTGGGAA,0.41878241 -722,AAAAAACAAATTCCGTGAGGAGCCTGGTTC,0.478886917 -723,AAAAAACAACAGAGAAGCAACTATTGGGGT,0.426693599 -724,AAAAAACAACAGAGAAGCTACTATTGGGGT,0.42394788 -725,AAAAAACAACAGCCGTATCAAGCTTGGCCT,0.541646297 -726,AAAAAACAACAGCTGTATAGCAAAAGGTAA,0.513989565 -727,AAAAAACAACAGTCACATTGTGTTTGGACT,0.347911712 -728,AAAAAACAACCACGACGGTGGCCCCGGCCT,0.409872338 -729,AAAAAACAACCCTCCAACTCTTATTGGAGA,0.217417107 -730,AAAAAACAACCTGAAGAAAGCCACAGGTAA,0.597855514 -731,AAAAAACAACGTAATGGGGGCATGAGGAAC,0.632060972 -732,AAAAAACAACTCAAAAAGGCCCACGGGACT,0.611085036 -733,AAAAAACAACTGAGCGAGAAAAGGTGGTTC,0.601058971 -734,AAAAAACAAGAAAGCTCATGCCCCAGGTAA,0.533479731 -735,AAAAAACAAGAAGACAAGGCGAGGTGGCTG,0.645445464 -736,AAAAAACAAGAAGGCACCCCTGAGGGGCTC,0.643576149 -737,AAAAAACAAGAAGTCACTGATAGGTGGTAA,0.645371299 -738,AAAAAACAAGAATTAGATAAGTTACGGAAT,0.426532473 -739,AAAAAACAAGGACATCCTACCTATGGGGTC,0.486423464 -740,AAAAAACAAGGATCCACTGGCTCCAGGGTT,0.423844536 -741,AAAAAACAAGGTGAAGGGGCAATCTGGGCG,0.338012159 -742,AAAAAACAATACCTTAGCACTGAGGGGCAG,0.686457918 -743,AAAAAACAATATCTCAAATCAAATTGGAAT,0.339214664 -744,AAAAAACAATGACCCTTTAGCAAAAGGAAT,0.426122372 -745,AAAAAACAATGGAATGCCCACCATAGGGAT,0.54522098 -746,AAAAAACAATGGTGCTGTTGTGGAAGGGGA,0.497238483 -747,AAAAAACACAAAGAAATAGCCTCGAGGAAA,0.727391685 -748,AAAAAACACAAATCAAGACATTTTTGGGTT,0.17609067 -749,AAAAAACACAACATCTTCAATTCCCGGAAG,0.459699845 -750,AAAAAACACAACATCTTGCTGGTTGGGTTT,0.35423653 -751,AAAAAACACAAGAAGGAAAAAAAGGGGGCC,0.559914227 -752,AAAAAACACAATAAACAGACAGGTAGGTCA,0.645494389 -753,AAAAAACACAATATCCTGCTGGTTGGGTTT,0.378187053 -754,AAAAAACACACATACACAGATCCCTGGAAC,0.578634979 -755,AAAAAACACAGAGAAATTAAACTACGGGAA,0.528583703 -756,AAAAAACACAGCTTTCTTAGTCAAAGGGAG,0.50256191 -757,AAAAAACACAGGAGCTTCTTCAGGAGGAGA,0.631028308 -758,AAAAAACACAGTGCCCAAGGATGTGGGGAA,0.527101086 -759,AAAAAACACATAGCAATTAAAAATGGGCTT,0.387711202 -760,AAAAAACACATCAGGTCCCATACTGGGGAG,0.445818062 -761,AAAAAACACATCATTCAAGACTGGTGGACA,0.62926854 -762,AAAAAACACCAAAGGAAGCTGTGAAGGTTG,0.596171205 -763,AAAAAACACCACCTCTGGAGGAACAGGCAG,0.395361168 -764,AAAAAACACCAGTCTCCTGAGAGAAGGAAG,0.547268103 -765,AAAAAACACCATGTTTTCTTCTCAAGGTAC,0.455290276 -766,AAAAAACACCCTTGCAGTGTGTGATGGAGG,0.579190086 -767,AAAAAACACCGCTGTTCCGTAACCAGGTCA,0.455339969 -768,AAAAAACACCTTCCTTTGCCTTTCAGGGTG,0.032040998 -769,AAAAAACACGGCTCCTCTCAGCAGGGGCGC,0.609751676 -770,AAAAAACACTCCAAAGAAATGACCAGGTCA,0.617780052 -771,AAAAAACACTGAAGAAGAGTTTTCAGGAGT,0.257886439 -772,AAAAAACACTGAAGTTGTGCATGTGGGGCG,0.581271588 -773,AAAAAACACTGAATCATACCTTACTGGTAC,0.346056807 -774,AAAAAACACTTACCAATGGAAAATTGGAGG,0.260836322 -775,AAAAAACACTTACGATTTTGCACGTGGCTC,0.577442125 -776,AAAAAACACTTCTGTTTCTCTCAGTGGAGT,0.519016659 -777,AAAAAACAGAAAAGAAGCCAGCGGAGGAGA,0.583514575 -778,AAAAAACAGAAAATGGGGAACCAAAGGAAA,0.559968713 -779,AAAAAACAGAAACAAGGGAAAGACGGGTGA,0.537346482 -780,AAAAAACAGAAGACGCTCTGCAAAAGGTAT,0.487703008 -781,AAAAAACAGAAGATAACTCACCTGGGGGAT,0.640522583 -782,AAAAAACAGAAGCATTTCCCTGAGAGGAGC,0.602444632 -783,AAAAAACAGAATTGCAATAACTTTCGGTTG,0.322484119 -784,AAAAAACAGACCACATATTCTGAAGGGTTA,0.645051577 -785,AAAAAACAGACGAGCCAGACTAAGAGGAGG,0.471621705 -786,AAAAAACAGACTGACCCCTCCAGCAGGCTT,0.512030916 -787,AAAAAACAGACTTACAAGTGGAGTGGGTTT,0.563017725 -788,AAAAAACAGAGAAAGGAAACTCAGCGGAAA,0.690339936 -789,AAAAAACAGAGAGGTGACAGCCACAGGTGG,0.471141504 -790,AAAAAACAGAGCAAATACCTGAATGGGGGG,0.297245744 -791,AAAAAACAGAGGAAAATTCTATGGAGGAAA,0.626621098 -792,AAAAAACAGAGGCATTTGGAGTTCTGGCCG,0.289140632 -793,AAAAAACAGATGATCCTATAGATGAGGAAG,0.590539355 -794,AAAAAACAGATTATAACGACTATGGGGATT,0.574700592 -795,AAAAAACAGATTTCATAAAAATAGTGGTAA,0.554689397 -796,AAAAAACAGCAAAGGAGCTAGAAGAGGAGG,0.5434442 -797,AAAAAACAGCAAATTCCTTAATTTTGGTAA,0.22544434 -798,AAAAAACAGCAAATTCCTTAATTTTGGTGA,0.228620829 -799,AAAAAACAGCAGTCACACTGTGCTTGGACT,0.442062622 -800,AAAAAACAGCAGTGTGATGAAAGCAGGGAA,0.462722074 -801,AAAAAACAGCCCACTTTCTTCCTATGGCAA,0.337751048 -802,AAAAAACAGCCCATTTTCTTCCTATGGCAA,0.304493514 -803,AAAAAACAGCGTGTCACAAAGCAGTGGTGA,0.672648822 -804,AAAAAACAGCTCGACTCACTATCAGGGGAC,0.48001394 -805,AAAAAACAGGAAAAAGCCCTTCGGCGGCTC,0.650888213 -806,AAAAAACAGGAAAAAGCTGGGAGCAGGAGA,0.447421637 -807,AAAAAACAGGAAAGAAGAAACTGTAGGATA,0.711882089 -808,AAAAAACAGGAAATGAGATGGAAAAGGAAT,0.538694248 -809,AAAAAACAGGAACTTTTGTCTGCCAGGGGT,0.392535407 -810,AAAAAACAGGAATGTCTGGCAGTCAGGACT,0.451215304 -811,AAAAAACAGGACAGTGTAGAGCAGTGGGAA,0.600801085 -812,AAAAAACAGGAGAAATCACGACAAAGGATG,0.655362332 -813,AAAAAACAGGAGCCAGAACAAGCAGGGGTT,0.551749153 -814,AAAAAACAGGAGTCAGAACAAGCAGGGGTT,0.564119124 -815,AAAAAACAGGATACTGAAGCAGCCAGGAAA,0.563785951 -816,AAAAAACAGGATGACCAAATTGAGCGGCTT,0.669121223 -817,AAAAAACAGGCGCGCAAGGTCCGGAGGCTG,0.580957946 -818,AAAAAACAGGGCGGGAGTGGTATGTGGCCC,0.530316962 -819,AAAAAACAGGGTGGTGACCCATTCTGGGGG,0.190945286 -820,AAAAAACAGGTTTGGCTTTGCAAACGGAGG,0.458400022 -821,AAAAAACAGTAACGCTGATGATAAAGGGCG,0.456790258 -822,AAAAAACAGTAATACATTTATCAATGGGAA,0.447494807 -823,AAAAAACAGTAGCCGAAAAGTAAAAGGCAA,0.364997176 -824,AAAAAACAGTATTTTCTCAACTATTGGGTT,0.335648331 -825,AAAAAACAGTGAAAAATATGGAGATGGATA,0.519147409 -826,AAAAAACAGTGAAACACCTCTTTAAGGGAA,0.23166692 -827,AAAAAACAGTGAAGGAGCGGGAAGAGGAGA,0.418395733 -828,AAAAAACAGTGAGAAATACGGAGATGGATA,0.531269203 -829,AAAAAACAGTGGTCTCTCCAGGTCTGGGAC,0.365975301 -830,AAAAAACAGTGTGGTGACCCACTCCGGGGG,0.453712738 -831,AAAAAACAGTTAAATATGGGAGTTGGGAGA,0.396717469 -832,AAAAAACAGTTCCCCATTCTGAACAGGCTC,0.451716183 -833,AAAAAACAGTTGTCAAACAAGGACTGGAGG,0.483864886 -834,AAAAAACAGTTTCACCGGCCAGTGGGGCCC,0.610379774 -835,AAAAAACAGTTTTTACCTTGATGTTGGGAT,0.423134835 -836,AAAAAACATAAGATAATCCATACTGGGGAA,0.497361563 -837,AAAAAACATACATGCAATGAATGTGGGAAA,0.551804443 -838,AAAAAACATACCTGTTGATCTCCAAGGAAA,0.587972302 -839,AAAAAACATACTCTGTCAAAGTCCTGGCTT,0.51369231 -840,AAAAAACATATAAATACAATGAATGGGAGA,0.415996537 -841,AAAAAACATATACTTGGAATACAAAGGAGG,0.572819059 -842,AAAAAACATATCAAAGATGTCCATGGGGGA,0.485714009 -843,AAAAAACATATGCTCTGAGTTGCCAGGATC,0.550067065 -844,AAAAAACATATTTAAAAAAAATTCTGGCGG,0.308179297 -845,AAAAAACATATTTAAAAAACATTCTGGAGG,0.335894151 -846,AAAAAACATATTTGAGAAGAGGTAAGGACC,0.520193312 -847,AAAAAACATCACTCCCTCGGACATCGGCCT,0.562572014 -848,AAAAAACATCAGAAACAGAAGGATGGGTGG,0.524428263 -849,AAAAAACATCAGCGCTTCAGGAGGAGGCTG,0.46108108 -850,AAAAAACATCCAACAACACAGGGGAGGCAA,0.665471013 -851,AAAAAACATCCGAAGTCATGACCTGGGAAA,0.699232386 -852,AAAAAACATCCGAAGTCATGACCTGGGATA,0.693519302 -853,AAAAAACATCCGAGCAGCTTCATAAGGCTG,0.40514457 -854,AAAAAACATCGATCCCCAGAGAGAAGGAAG,0.536712572 -855,AAAAAACATCTCAGTCTCCACAGGAGGGCA,0.625617535 -856,AAAAAACATCTCTACTATGGAATCTGGTAA,0.402091955 -857,AAAAAACATGAAGAAAAAACATGATGGCAT,0.627739855 -858,AAAAAACATGAAGAAGCAGAGAAGCGGAAG,0.575194317 -859,AAAAAACATGAATGTGGAGAATGTGGGAAA,0.581175097 -860,AAAAAACATGAGAGAATTCATACTGGGGAG,0.539376799 -861,AAAAAACATGATGCCAGCAGAGAAGGGCCG,0.533932437 -862,AAAAAACATGATGCCGGCAGAGAAGGGCCT,0.5164374 -863,AAAAAACATGCATTGTCCAGCATCAGGTAT,0.531914132 -864,AAAAAACATGCGAGCGGCTTCGTAAGGCTG,0.536553123 -865,AAAAAACATGCGTGTGCTAAAATGTGGGCA,0.517815809 -866,AAAAAACATGCTTTTCTTGGGCATTGGTAG,0.457653956 -867,AAAAAACATGGAGTCTATTGGGTTAGGAAT,0.490667901 -868,AAAAAACATGGTACCTGTGTAGTCTGGATG,0.40616203 -869,AAAAAACATGTTCCATTATGTTGGTGGTAT,0.463405653 -870,AAAAAACATGTTCCTTCAAAGAAAAGGCTT,0.381897182 -871,AAAAAACATTAATGGACATGTGGAAGGCCC,0.584435189 -872,AAAAAACATTCAAGAACTTATTCATGGAGC,0.380297363 -873,AAAAAACATTCCTTCGGAACTGAAGGGAAG,0.640081354 -874,AAAAAACATTCGCATTGGAATTGAAGGTAA,0.337540633 -875,AAAAAACATTGCAAACATGTGTCGTGGGAT,0.541640073 -876,AAAAAACATTGCTCAAAAAAGTAAAGGTAA,0.511186677 -877,AAAAAACATTTACCTGCCAGATCAAGGGGG,0.464690745 -878,AAAAAACCAAAACTTTACTTTAGTTGGGCA,0.239378495 -879,AAAAAACCAACAACGACAAAAATAGGGCTG,0.443829751 -880,AAAAAACCAACTGAGAAATGAGAATGGGTG,0.525854514 -881,AAAAAACCAAGCAAATCCAAGATATGGCTG,0.478599099 -882,AAAAAACCAAGCTCCTCCTCTTTAAGGAAC,0.207460514 -883,AAAAAACCAAGGCCACAGCTCCAATGGATA,0.502188282 -884,AAAAAACCAATGTCTTAACAAGGTTGGCAT,0.502172577 -885,AAAAAACCACACTCACCATGGTCCGGGAAT,0.561709092 -886,AAAAAACCACCAAAAGAGATCCATTGGCAC,0.540036959 -887,AAAAAACCACCTTGGCTCGAACCCTGGAGA,0.49373685 -888,AAAAAACCACGTATGCAGTGAATGTGGGAA,0.513988463 -889,AAAAAACCACTGGGAAGAATATGCGGGACC,0.648445596 -890,AAAAAACCAGAAGGAGAGGATCGGAGGTAC,0.653278121 -891,AAAAAACCAGAGAAGAGACTGAGACGGCAT,0.665378014 -892,AAAAAACCAGAGAGCTTTGAAACTGGGTAC,0.544101175 -893,AAAAAACCAGATCAGATCGAAGGTTGGGAG,0.568227201 -894,AAAAAACCAGATCCTTTTAAAATCTGGGCC,0.269884046 -895,AAAAAACCAGATGAAATTGAAGGTTGGGAG,0.485974763 -896,AAAAAACCAGATGGGGAATAAAGCCGGATT,0.550781339 -897,AAAAAACCAGTGCAGGACTGTCCAAGGATG,0.523813321 -898,AAAAAACCAGTGGAGGACTGTCCAAGGATG,0.555047614 -899,AAAAAACCATAGGAAAAGGCAGGCAGGCTT,0.509986112 -900,AAAAAACCATGAAGCTGGAACATCAGGTAA,0.382110818 -901,AAAAAACCATGAATTTACCTGCTGAGGTTC,0.457189717 -902,AAAAAACCATGCTAACTTTAACTTTGGTAT,0.301712472 -903,AAAAAACCATGGAATATAGCATGGTGGGAA,0.620784274 -904,AAAAAACCATGGCAGCAAGGCGGATGGCGC,0.507467959 -905,AAAAAACCATGGCCACGTGTCTCCTGGTTG,0.473439598 -906,AAAAAACCATTTTATGGATTATAAGGGAAA,0.350928033 -907,AAAAAACCATTTTCAGGAGGCTTCAGGGCA,0.296058972 -908,AAAAAACCCAAGTTCTGCAGCCTGAGGAGA,0.603159829 -909,AAAAAACCCACAAGTGCCTTCAGATGGGGG,0.491233785 -910,AAAAAACCCACCAAAGCCAGGGTCAGGTCA,0.475901841 -911,AAAAAACCCACTATATTTTGATGATGGGCT,0.427969186 -912,AAAAAACCCAGAAGGTTGATCAAATGGAGG,0.378749076 -913,AAAAAACCCAGCATGAGTCCGAACTGGAGC,0.443538979 -914,AAAAAACCCAGCTGATTTCTGAGCTGGCAG,0.502100786 -915,AAAAAACCCAGGCCTATGTATTGGAGGCAC,0.554118855 -916,AAAAAACCCATTCAGATTCCTCCTGGGCCT,0.582956388 -917,AAAAAACCCATTCCCACACTAGCTCGGACT,0.500462083 -918,AAAAAACCCATTGTGACTGCAATGTGGACT,0.717290404 -919,AAAAAACCCCAGAAATCCTCAGGGTGGCTC,0.720881338 -920,AAAAAACCCCTTTACTTACCAAGTTGGCCA,0.552537334 -921,AAAAAACCCCTTTGATGAAACATTTGGAAA,0.288763051 -922,AAAAAACCCGTCGGGCGAAGCACGAGGACG,0.52975137 -923,AAAAAACCCGTTATGACTAATCCTTGGGAA,0.459656394 -924,AAAAAACCCTACCCTTACCTGCCAGGGTAG,0.565509894 -925,AAAAAACCCTACCTTTTTTGTTGAAGGAGG,0.273131365 -926,AAAAAACCCTGGCCCAGAGTATCCTGGTTG,0.4944831 -927,AAAAAACCCTGTTACAGTAATACGTGGCCT,0.71577237 -928,AAAAAACCCTGTTACAGTAATTCGCGGTCT,0.540730146 -929,AAAAAACCCTTACCACACTTGCTGAGGTGT,0.567820591 -930,AAAAAACCCTTATCAGGATACTGTAGGTGA,0.619175966 -931,AAAAAACCGCCAGCGTCATCTAATGGGGTT,0.313062816 -932,AAAAAACCGGAGTTCTATTAGAGCTGGAAG,0.48845691 -933,AAAAAACCGGTTGCAGAGGCCTTCTGGGGA,0.246674516 -934,AAAAAACCGTCTTTGCCGAAATCTAGGAAA,0.473072391 -935,AAAAAACCTACCTCTTTGGTTGCCTGGACT,0.392941207 -936,AAAAAACCTACCTGAAGACTGCAAGGGTCA,0.695462688 -937,AAAAAACCTACCTTCCGCCATGTCGGGCCC,0.454831212 -938,AAAAAACCTACTCCTTTCGTGTGAAGGATG,0.518374879 -939,AAAAAACCTAGTAGTCACAGAGACTGGAGA,0.478030598 -940,AAAAAACCTATGAACTTGTGTGTCAGGAAG,0.40297215 -941,AAAAAACCTCAAAAACCCATTCCACGGCCT,0.63107656 -942,AAAAAACCTCAGAAAAAGGTCTCACGGCAG,0.585252946 -943,AAAAAACCTCATGTCATACATCGAGGGTTC,0.656103324 -944,AAAAAACCTCGCAGGTAGCGCTGCAGGGTG,0.389638456 -945,AAAAAACCTCTCAGGCGCTTAGCATGGAGG,0.501584536 -946,AAAAAACCTCTTACTCTGAAGAAACGGTAG,0.42154925 diff --git a/auto_search_corrected/azimuth/tests/__pycache__/test_saved_models.cpython-35.pyc b/auto_search_corrected/azimuth/tests/__pycache__/test_saved_models.cpython-35.pyc deleted file mode 100644 index 2037f7a..0000000 Binary files a/auto_search_corrected/azimuth/tests/__pycache__/test_saved_models.cpython-35.pyc and /dev/null differ diff --git a/auto_search_corrected/azimuth/tests/test_saved_models.py b/auto_search_corrected/azimuth/tests/test_saved_models.py deleted file mode 100644 index f4efb47..0000000 --- a/auto_search_corrected/azimuth/tests/test_saved_models.py +++ /dev/null @@ -1,23 +0,0 @@ -#import azimuth -#import azimuth.model_comparison -#from ... import model_comparison.py -import numpy as np -import unittest -import pandas -import os -dirname, filename = os.path.split(os.path.abspath(__file__)) - -class SavedModelTests(unittest.TestCase): - """ - This unit test checks that the predictions for 1000 guides match the predictions we expected in Nov 2016. - This unit test can fail due to randomness in the model (e.g. random seed, feature reordering). - """ - - def test_predictions(self): - - df = pandas.read_csv(os.path.join(dirname, '1000guides.csv'), index_col=0) - predictions = azimuth.model_comparison.predict(np.array(df['guide'].values), None, None) - self.assertTrue(np.allclose(predictions, df['Stable prediction'].values, atol=1e-3)) - -if __name__ == '__main__': - unittest.main() diff --git a/auto_search_corrected/azimuth/util.py b/auto_search_corrected/azimuth/util.py deleted file mode 100644 index 195b24d..0000000 --- a/auto_search_corrected/azimuth/util.py +++ /dev/null @@ -1,1332 +0,0 @@ -import pandas -import matplotlib.pylab as plt -import pylab as pl # so can just grab qqplotting code from fastlmm directly -import scipy.stats -import scipy as sp -import numpy as np -import itertools -import sklearn.metrics -import Bio.SeqUtils.MeltingTemp as Tm -import Bio.Entrez as Entrez -import Bio.SeqUtils as SeqUtil -# import features.microhomology as microhomology -from Bio import SeqIO -#import metrics as ranking_metrics #commented beacause no module metrics for conda -import os -import pickle -import glob -#import azimuth -# import azimuth.models -#import azimuth.models.ensembles as ensembles -import Bio.Seq as Seq -import time -import scipy.stats as st -# import util -import sys -import pandas as pd -# import corrstats - -def qqplot(pvals, fileout = None, alphalevel = 0.05,legend=None,xlim=None,ylim=None,fixaxes=True,addlambda=True,minpval=1e-20,title=None,h1=None,figsize=[5,5],grid=True, markersize=2): - ''' - performs a P-value QQ-plot in -log10(P-value) space - ----------------------------------------------------------------------- - Args: - pvals P-values, for multiple methods this should be a list (each element will be flattened) - fileout if specified, the plot will be saved to the file (optional) - alphalevel significance level for the error bars (default 0.05) - if None: no error bars are plotted - legend legend string. For multiple methods this should be a list - xlim X-axis limits for the QQ-plot (unit: -log10) - ylim Y-axis limits for the QQ-plot (unit: -log10) - fixaxes Makes xlim=0, and ylim=max of the two ylimits, so that plot is square - addlambda Compute and add genomic control to the plot, bool - title plot title, string (default: empty) - h1 figure handle (default None) - figsize size of the figure. (default: [5,5]) - grid boolean: use a grid? (default: True) - Returns: fighandle, qnull, qemp - ----------------------------------------------------------------------- - ''' - distr = 'log10' - import pylab as pl - if type(pvals)==list: - pvallist=pvals - else: - pvallist = [pvals] - if type(legend)==list: - legendlist=legend - else: - legendlist = [legend] - - if h1 is None: - h1=pl.figure(figsize=figsize) - - pl.grid(b=grid, alpha = 0.5) - - maxval = 0 - - for i in xrange(len(pvallist)): - pval =pvallist[i].flatten() - M = pval.shape[0] - pnull = (0.5 + sp.arange(M))/M - # pnull = np.sort(np.random.uniform(size = tests)) - - pval[pval=1]=1 - - if distr == 'chi2': - qnull = st.chi2.isf(pnull, 1) - qemp = (st.chi2.isf(sp.sort(pval),1)) - xl = 'LOD scores' - yl = '$\chi^2$ quantiles' - - if distr == 'log10': - qnull = -sp.log10(pnull) - qemp = -sp.log10(sp.sort(pval)) #sorts the object, returns nothing - xl = '-log10(P) observed' - yl = '-log10(P) expected' - if not (sp.isreal(qemp)).all(): raise Exception("imaginary qemp found") - if qnull.max>maxval: - maxval = qnull.max() - pl.plot(qnull, qemp, '.', markersize=markersize) - #pl.plot([0,qemp.max()], [0,qemp.max()],'r') - if addlambda: - lambda_gc = estimate_lambda(pval) - print("lambda=%1.4f" % lambda_gc) - #pl.legend(["gc="+ '%1.3f' % lambda_gc],loc=2) - # if there's only one method, just print(the lambda) - if len(pvallist) == 1: - legendlist=["$\lambda_{GC}=$%1.4f" % lambda_gc] - # otherwise add it at the end of the name - else: - legendlist[i] = legendlist[i] + " ($\lambda_{GC}=$%1.4f)" % lambda_gc - - addqqplotinfo(qnull,M,xl,yl,xlim,ylim,alphalevel,legendlist,fixaxes) - - if title is not None: - pl.title(title) - - if fileout is not None: - pl.savefig(fileout) - - return h1,qnull, qemp, - - -def qqplotp(pv,fileout = None, alphalevel = 0.05,legend=None,xlim=None,ylim=None,ycoord=10,plotsize="652x526",title=None,dohist=True, numbins=50, figsize=[5,5], markersize=2): - ''' - Read in p-values from filein and make a qqplot adn histogram. - If fileout is provided, saves the qqplot only at present. - Searches through p until one is found. ''' - - import pylab as pl - pl.ion() - - fs=8 - h1=qqplot(pv, fileout, alphalevel,legend,xlim,ylim,addlambda=True, figsize=figsize, markersize=markersize) - #lambda_gc=estimate_lambda(pv) - #pl.legend(["gc="+ '%1.3f' % lambda_gc],loc=2) - pl.title(title,fontsize=fs) - - wm=pl.get_current_fig_manager() - #e.g. "652x526+100+10 - xcoord=100 - #wm.window.wm_geometry(plotsize + "+" + str(xcoord) + "+" + str(ycoord)) - - if dohist: - h2=pvalhist(pv, numbins=numbins, figsize=figsize) - pl.title(title,fontsize=fs) - #wm=pl.get_current_fig_manager() - width_height=plotsize.split("x") - buffer=10 - xcoord=int(xcoord + float(width_height[0])+buffer) - #wm.window.wm_geometry(plotsize + "+" + str(xcoord) + "+" + str(ycoord)) - else: h2=None - - return h1,h2 - -def addqqplotinfo(qnull,M,xl='-log10(P) observed',yl='-log10(P) expected',xlim=None,ylim=None,alphalevel=0.05,legendlist=None,fixaxes=False): - distr='log10' - pl.plot([0,qnull.max()], [0,qnull.max()],'k') - pl.ylabel(xl) - pl.xlabel(yl) - if xlim is not None: - pl.xlim(xlim) - if ylim is not None: - pl.ylim(ylim) - if alphalevel is not None: - if distr == 'log10': - betaUp, betaDown, theoreticalPvals = _qqplot_bar(M=M,alphalevel=alphalevel,distr=distr) - lower = -sp.log10(theoreticalPvals-betaDown) - upper = -sp.log10(theoreticalPvals+betaUp) - pl.fill_between(-sp.log10(theoreticalPvals),lower,upper,color="grey",alpha=0.5) - #pl.plot(-sp.log10(theoreticalPvals),lower,'g-.') - #pl.plot(-sp.log10(theoreticalPvals),upper,'g-.') - if legendlist is not None: - leg = pl.legend(legendlist, loc=4, numpoints=1) - # set the markersize for the legend - for lo in leg.legendHandles: - lo.set_markersize(10) - - if fixaxes: - fix_axes() - -def _qqplot_bar(M=1000000, alphalevel = 0.05,distr = 'log10'): - ''' - calculate error bars for a QQ-plot - -------------------------------------------------------------------- - Input: - ------------- ---------------------------------------------------- - M number of points to compute error bars - alphalevel significance level for the error bars (default 0.05) - distr space in which the error bars are implemented - Note only log10 is implemented (default 'log10') - -------------------------------------------------------------------- - Returns: - ------------- ---------------------------------------------------- - betaUp upper error bars - betaDown lower error bars - theoreticalPvals theoretical P-values under uniform - -------------------------------------------------------------------- - ''' - - - #assumes 'log10' - - mRange=10**(sp.arange(sp.log10(0.5),sp.log10(M-0.5)+0.1,0.1));#should be exp or 10**? - numPts=len(mRange); - betaalphaLevel=sp.zeros(numPts);#down in the plot - betaOneMinusalphaLevel=sp.zeros(numPts);#up in the plot - betaInvHalf=sp.zeros(numPts); - for n in xrange(numPts): - m=mRange[n]; #numplessThanThresh=m; - betaInvHalf[n]=st.beta.ppf(0.5,m,M-m); - betaalphaLevel[n]=st.beta.ppf(alphalevel,m,M-m); - betaOneMinusalphaLevel[n]=st.beta.ppf(1-alphalevel,m,M-m); - pass - betaDown=betaInvHalf-betaalphaLevel; - betaUp=betaOneMinusalphaLevel-betaInvHalf; - - theoreticalPvals=mRange/M; - return betaUp, betaDown, theoreticalPvals - - - -def fix_axes(buffer=0.1): - ''' - Makes x and y max the same, and the lower limits 0. - ''' - maxlim=max(pl.xlim()[1],pl.ylim()[1]) - pl.xlim([0-buffer,maxlim+buffer]) - pl.ylim([0-buffer,maxlim+buffer]) - -def estimate_lambda(pv): - ''' - estimate the lambda for a given array of P-values - ------------------------------------------------------------------ - pv numpy array containing the P-values - ------------------------------------------------------------------ - L lambda value - ------------------------------------------------------------------ - ''' - LOD2 = sp.median(st.chi2.isf(pv, 1)) - L = (LOD2/0.456) - return L - - -def pvalhist(pv,numbins=50,linewidth=3.0,linespec='--r', figsize=[5,5]): - ''' - Plots normalized histogram, plus theoretical null-only line. - ''' - h2=pl.figure(figsize=figsize) - [nn,bins,patches]=pl.hist(pv,numbins,normed=True) - pl.plot([0, 1],[1,1],linespec,linewidth=linewidth) - - - -def get_pval_from_predictions(m0_predictions, m1_predictions, ground_truth, twotailed=False, method='steiger'): - ''' - If twotailed==False, then need to check that the one of corr0 and corr1 that is higher is the correct one - ''' - import corrstats - n0 = len(m0_predictions) - n1 = len(m0_predictions) - n2 = len(ground_truth) - assert(n0==n1) - assert(n0==n2) - corr0, _ = scipy.stats.spearmanr(m0_predictions, ground_truth) - corr1, _ = scipy.stats.spearmanr(m1_predictions, ground_truth) - corr01, _ =scipy.stats.spearmanr(m0_predictions, m1_predictions) - t2, pv = corrstats.dependent_corr(corr0, corr1, corr01, n0, twotailed=twotailed, method=method) - return t2, pv, corr0, corr1, corr01 - -def get_thirty_one_mer_data(): - ''' - Load up our processed data file for all of V1 and V2, make a 31mer so that - we can use the SSC trained model to compare to - Assumes we call this from the analysis subdirectory - ''' - myfile = r"..\data\FC_RES_5304.csv" - newfile = r"..\data\FC_RES_5304_w_31mer.csv" - data = pd.read_csv(myfile) - thirty_one_mer = [] - for i in range(data.shape[0]): - thirty_one_mer.append(convert_to_thirty_one(data.iloc[i]["30mer"], data.iloc[i]["Target"], data.iloc[i]["Strand"])) - data["31mer"] = thirty_one_mer - data.to_csv(newfile) - - -def guide_positional_features(guide_seq, gene, strand): - """ - Given a guide sequence, a gene name, and strand (e.g. "sense"), return the (absolute) nucleotide cut position, and the percent amino acid. - From John's email: - the cut site is always 3nts upstream of the NGG PAM: - 5' - 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 N G G - 3' - To calculate percent protein, we determined what amino acid number was being cut and just divided by the total number of amino acids. In the case where the cutsite was between two amino acid codons, I believe we rounded down - - """ - - guide_seq = Seq.Seq(guide_seq) - gene_seq = Seq.Seq(util.get_gene_sequence(gene)).reverse_complement() - if strand=='sense': - guide_seq = guide_seq.reverse_complement() - ind = gene_seq.find(guide_seq) - if ind ==-1: - print("returning None, could not find guide %s in gene %s" % (guide_seq, gene)) - return "" - assert gene_seq[ind:(ind+len(guide_seq))]==guide_seq, "match not right" - ## now get what we want from this: - import ipdb; ipdb.set_trace() - raise NotImplementedError("incomplete implentation for now") - - -def convert_to_thirty_one(guide_seq, gene, strand): - ''' - Given a guide sequence, a gene name, and strand (e.g. "sense"), return a 31mer string which is our 30mer, - plus one more at the end. - ''' - guide_seq = Seq.Seq(guide_seq) - gene_seq = Seq.Seq(get_gene_sequence(gene)).reverse_complement() - if strand=='sense': - guide_seq = guide_seq.reverse_complement() - ind = gene_seq.find(guide_seq) - if ind ==-1: - print("returning sequence+'A', could not find guide %s in gene %s" % (guide_seq, gene)) - return gene_seq + 'A' - assert gene_seq[ind:(ind+len(guide_seq))]==guide_seq, "match not right" - #new_mer = gene_seq[ind:(ind+len(guide_seq))+1] #looks correct, but is wrong, due to strand frame-of-reference - new_mer = gene_seq[(ind-1):(ind+len(guide_seq))] #this actually tacks on an extra one at the end for some reason - if strand=='sense': - new_mer = new_mer.reverse_complement() - return str(new_mer) - -def concatenate_feature_sets(feature_sets, keys=None): - ''' - Given a dictionary of sets of features, each in a Pandas.DataFrame, - concatenate them together to form one big np.array, and get the dimension - of each set - Returns: inputs, dim - ''' - assert feature_sets != {}, "no feature sets present" - if keys is None: - #keys = feature_sets.keys() - keys = list(feature_sets.keys()) - - F = feature_sets[keys[0]].shape[0] - for set in feature_sets.keys(): - F2 = feature_sets[set].shape[0] - assert F == F2, "not same # individuals for features %s and %s" % (keys[0], set) - - N = feature_sets[keys[0]].shape[0] - inputs = np.zeros((N, 0)) - feature_names = [] - dim = {} - dimsum = 0 - for set in keys: - inputs_set = feature_sets[set].values - dim[set] = inputs_set.shape[1] - dimsum += dim[set] - inputs = np.hstack((inputs, inputs_set)) - feature_names.extend(feature_sets[set].columns.tolist()) - - if False: - inputs.shape - for j in keys: print(j + str(feature_sets[j].shape)) - import ipdb; ipdb.set_trace() - - #print("final size of inputs matrix is (%d, %d)" % inputs.shape) - return inputs, dim, dimsum, feature_names - -def extract_individual_level_data(one_result): - ''' - Extract predictions and truth for each fold - Returns: ranks, predictions - - assumes that results here is the value for a results dictionary for one key, i.e. one entry in a dictionary loaded up from saved results with pickle - e.g. all_results, all_learn_options = pickle.load(some_results_file) - then call extract_individual_level_data(one_results = all_results['firstkey']) - then, one_results contains: metrics, gene_pred, fold_labels, m, dimsum, filename, feature_names - ''' - metrics, gene_pred, fold_labels, m, dimsum, filename, feature_names = one_result - all_true_ranks = np.empty(0) - all_pred = np.empty(0) - for f in list(fold_labels): - these_ranks = gene_pred[0][0][f]['ranks'] #similar for thrs - these_pred = gene_pred[0][1][f] - all_true_ranks = np.concatenate((all_true_ranks, these_ranks)) - all_pred = np.concatenate((all_pred, these_pred)) - return all_true_ranks, all_pred - -def spearmanr_nonan(x,y): - ''' - same as scipy.stats.spearmanr, but if all values are unique, returns 0 instead of nan - (Output: rho, pval) - ''' - r, p = st.spearmanr(x, y) - if np.isnan(p): - if len(np.unique(x))==1 or len(np.unique(y))==1: - print("WARNING: spearmanr is nan due to unique values, setting to 0") - p = 0.0 - r = 0.0 - else: - raise Exception("found nan spearman") - assert not np.isnan(r) - return r, p - - - -def impute_gene_position(gene_position): - ''' - Some amino acid cut position and percent peptide are blank because of stop codons, but - we still want a number for these, so just set them to 101 as a proxy - ''' - - gene_position['Percent Peptide'] = gene_position['Percent Peptide'].fillna(101.00) - - if 'Amino Acid Cut position' in gene_position.columns: - gene_position['Amino Acid Cut position'] = gene_position['Amino Acid Cut position'].fillna(gene_position['Amino Acid Cut position'].mean()) - - return gene_position - - -def datestamp(appendrandom=False): - import datetime - now = datetime.datetime.now() - s = str(now)[:19].replace(" ","_").replace(":","_") - if appendrandom: - import random - s += "_" + str(random.random())[2:] - return s - - -def get_gene_sequence(gene_name): - try: - gene_file = '../../gene_sequences/%s_sequence.txt' % gene_name - #gene_file = '../gene_sequences/%s_sequence.txt' % gene_name - #gene_file = 'gene_sequences/%s_sequence.txt' % gene_name - with open(gene_file, 'rb') as f: - seq = f.read() - seq = seq.replace('\r\n', '') - except: - raise Exception("could not find gene sequence file %s, please see examples and generate one for your gene as needed, with this filename" % gene_file) - - return seq - - # gene_positions = {'CCDC101': [28553928,28591790]} - # search = Entrez.esearch(db="gene", term='%s[Gene Name] AND Homo Sapiens[Organism]' % (gene_name)) - # records = Entrez.read(search) - - # if len(records['IdList']) > 1: - # print("warning, multiple hits found for entrez gene search %s" % gene_name) - - # elink = Entrez.read(Entrez.elink(dbfrom="gene", db='nucleotide', id=records['IdList'][0])) - # nucl_id = elink[0]['LinkSetDb'][3] - - # cut = False - # if nucl_id['LinkName'] != 'gene_nuccore_refseqgene': - # if gene_name in gene_positions.keys(): - # nucl_id = elink[0]['LinkSetDb'][0]['Link'][0]['Id'] - # cut = True - # else: - # print("sorry not enough information to return sequence") - # return None - # else: - # nucl_id = nucl_id['Link'][0]['Id'] - - # handle = Entrez.efetch(db="nucleotide", id=nucl_id, rettype="gb", retmode="text") - # record = SeqIO.read(handle, "genbank") - # handle.close() - - # if cut: - # start, end = gene_positions[gene_name] - # return str(record.seq)[start:end] - # else: - # return str(record.seq) - - -def target_genes_stats(genes=['HPRT1', 'TADA1', 'NF2', 'TADA2B', 'NF1', 'CUL3', 'MED12', 'CCDC101']): - for gene in genes: - seq = get_gene_sequence(gene) - if seq != None: - print('%s \t\t\t\t len: %d \t GCcont: %.3f \t Temp: %.4f \t molweight: %.4f' % (gene, len(seq), SeqUtil.GC(seq), Tm.Tm_staluc(seq, rna=False), SeqUtil.molecular_weight(seq, 'DNA'))) - - -def ranktrafo(data): - X = data.values[:, None] - Is = X.argsort(axis=0) - RV = sp.zeros_like(X) - rank = sp.zeros_like(X) - for i in xrange(X.shape[1]): - x = X[:,i] - rank = sp.stats.rankdata(x) - rank /= (X.shape[0]+1) - RV[:,i] = sp.sqrt(2) * sp.special.erfinv(2*rank-1) - - return RV.flatten() - -def get_ranks(y, thresh=0.8, prefix="", flip=False, col_name='score'): - """ - y should be a DataFrame with one column - thresh is the threshold at which to call it a knock-down or not - col_name = 'score' is only for V2 data - flip should be FALSE for both V1 and V2!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! - """ - - if prefix is not None: - prefix = prefix + "_" - - #y_rank = y.apply(ranktrafo) - y_rank = y.apply(sp.stats.mstats.rankdata) - y_rank /= y_rank.max() - - if flip: - y_rank = 1.0 - y_rank # before this line, 1-labels where associated with low ranks, this flips it around (hence the y_rank > thresh below) - # we should NOT flip (V2), see README.txt in ./data - - y_rank.columns = [prefix + "rank"] - y_threshold = (y_rank > thresh)*1 - - y_threshold.columns = [prefix + "threshold"] - - # JL: undo the log2 transform (not sure this matters?) - y_rank_raw = (2**y).apply(scipy.stats.mstats.rankdata) - y_rank_raw /= y_rank_raw.max() - if flip: - y_rank_raw = 1.0 - y_rank_raw - y_rank_raw.columns = [prefix + "rank raw"] - assert ~np.any(np.isnan(y_rank)), "found NaN ranks" - - # divides into quantiles, but not used: - # y_quantized = pandas.DataFrame(data=pandas.qcut(y[col_name], 5, labels=np.arange(5.0))) # quantized vector - y_quantized = y_threshold.copy() - y_quantized.columns = [prefix + "quantized"] - - return y_rank, y_rank_raw, y_threshold, y_quantized - -def get_data(data, y_names, organism="human", target_gene=None): - outputs = pandas.DataFrame() - ''' - this is called once for each gene (aggregating across cell types) - y_names are cell types - e.g. call: X_CD13, Y_CD13 = get_data(cd13, y_names=['NB4 CD13', 'TF1 CD13']) - ''' - - #generate ranks for each cell type before aggregating to match what is in Doench et al - thresh = 0.8 - for y_name in y_names: # for each cell type - y = pandas.DataFrame(data[y_name]) - # these thresholds/quantils are not used: - y_rank, y_rank_raw, y_threshold, y_quantiles = get_ranks(y, thresh=thresh, flip=False, col_name=y_name) - y_rank.columns = [y_name + " rank"] - y_rank_raw.columns = [y_name + " rank raw"] - y_threshold.columns = [y_name + " threshold"] - - outputs = pandas.concat([outputs, y, y_rank, y_threshold, y_rank_raw], axis=1) - - - #aggregated rank across cell types - average_activity = pandas.DataFrame(outputs[[y_name for y_name in y_names]].mean(1)) - average_activity.columns = ['average activity'] - - average_rank_from_avg_activity = get_ranks(average_activity, thresh=thresh, flip=False, col_name='average activity')[0] - average_rank_from_avg_activity.columns = ['average_rank_from_avg_activity'] - average_threshold_from_avg_activity = (average_rank_from_avg_activity > thresh)*1 - average_threshold_from_avg_activity.columns = ['average_threshold_from_avg_activity'] - - average_rank = pandas.DataFrame(outputs[[y_name + ' rank' for y_name in y_names]].mean(1)) - average_rank.columns = ['average rank'] - # higher ranks are better (when flip=False as it should be) - average_threshold = (average_rank > thresh)*1 - average_threshold.columns = ['average threshold'] - - # undo the log2 trafo on the reads per million, apply rank trafo right away - average_rank_raw = pandas.DataFrame(outputs[[y_name+' rank raw' for y_name in y_names]].mean(1)) - average_rank_raw.columns = ['average rank raw'] - outputs = pandas.concat([outputs, average_rank, average_threshold, average_activity, average_rank_raw, average_rank_from_avg_activity, average_threshold_from_avg_activity], axis=1) - - # import ipdb; ipdb.set_trace() - - #sequence-specific computations - #features = featurize_data(data) - #strip out featurization to later - features = pandas.DataFrame(data['30mer']) - - if organism is "human": - target_gene = y_names[0].split(' ')[1] - - outputs['Target gene'] = target_gene - outputs['Organism'] = organism - - features['Target gene'] = target_gene - features['Organism'] = organism - features['Strand'] = pandas.DataFrame(data['Strand']) - - return features, outputs - - -def plot_metrics(metrics, truth_and_predictions, target_genes, run_label, color=None, filename_prefix=None, learn_options=None): - - if learn_options["metric"] == 'AUC': - best = truth_and_predictions[0]#[np.argmax(cv_scores)] - plt.figure('ROC per gene') - plt.figure('global ROC') - plt.figure('AUC ROC per gene') - - all_truth = np.array([]) - all_predictions = np.array([]) - AUCs = [] - AUCs_labels = [] - for i, gene in enumerate(target_genes): - if len(best[1][gene])==0: - continue - - plt.figure('ROC per gene') - plt.subplot(331+i) - fpr, tpr, _ = sklearn.metrics.roc_curve(best[0][gene], best[1][gene]) - np.savetxt('../results/%s_ROC.txt' % gene, np.hstack((fpr[:, None], tpr[:, None]))) - - roc_auc = sklearn.metrics.auc(fpr, tpr) - AUCs.append(roc_auc) - AUCs_labels.append(gene) - plt.plot(fpr, tpr, label=run_label) - plt.title(gene) - h1 = plt.figure('global ROC') - plt.plot(fpr, tpr, color=color, alpha=.2, linewidth=2.) - - all_truth = np.hstack((all_truth, best[0][gene])) - all_predictions = np.hstack((all_predictions, best[1][gene])) - - plt.legend(loc=0) - - plt.figure('AUC ROC per gene') - ax = plt.subplot(111) - rect = ax.bar(range(len(AUCs)), AUCs, width=0.8) - autolabel(ax,rect) - - ax.set_ylim((0.5, 1.0)) - ax.set_ylabel('AUC ROC') - ax.set_xticks(np.array(range(len(AUCs))) + 0.8 / 2) - ax.set_xticklabels([t for t in AUCs_labels]) - - fpr, tpr, _ = sklearn.metrics.roc_curve(all_truth, all_predictions) - roc_auc = sklearn.metrics.auc(fpr, tpr) - #print(run_label, roc_auc) - plt.figure('global ROC') - plt.plot(fpr, tpr, label=run_label + " AUC=%.2f" % roc_auc, color=color, linewidth=2.) - plt.legend(loc=0) - plt.xlabel('False Positive Rate') - plt.ylabel('True Positive Rate') - #np.savetxt('../results/global_ROC.txt', np.hstack((fpr[:, None], tpr[:, None]))) - #np.savetxt('../results/AUCs.txt', np.hstack((np.array([t for t in target_genes])[:, None], np.array(AUCs)[:, None])), fmt='%s') - - if filename_prefix != None: - plt.figure('global ROC') - plt.savefig(filename_prefix+'globalROC.png') - - plt.figure('ROC per gene') - plt.savefig(filename_prefix+'ROC_per_gene.png') - - plt.figure('AUC ROC per gene') - plt.savefig(filename_prefix+'AUCROC_barplot.png') - return roc_auc - else: - plt.figure('NDCG per gene') - ax = plt.subplot(111) - rect = ax.bar(range(len(metrics)), metrics, width=0.8) - autolabel(ax,rect) - ax.set_ylim((0.0, 1.2)) - ax.set_ylabel('NDCG') - ax.set_xticks(np.array(range(len(metrics))) + 0.8 / 2) - ax.set_xticklabels([t for t in target_genes]) - - truth, predictions = truth_and_predictions[0] - all_truth = np.array([]) - all_predictions = np.array([]) - - for i, gene in enumerate(target_genes): - if len(predictions[gene])==0: - continue - - all_truth = np.hstack((all_truth, truth[gene])) - all_predictions = np.hstack((all_predictions, predictions[gene])) - - sorted = all_predictions[np.argsort(all_truth).flatten()[::-1]] - sortedgt = np.sort(all_truth).flatten()[::-1] - NDCG_total = ranking_metrics.ndcg_at_k_custom_n(sorted, learn_options["NDGC_k"], sortedgt) - - if filename_prefix != None: - plt.figure('NDCG per gene') - plt.savefig(filename_prefix+'NDCG_barplot.png') - - return NDCG_total - -def autolabel(ax, rects, strfrm='%.2f'): - ''' - Automatically add value over each bar in bar chart - http://matplotlib.org/1.4.2/examples/api/barchart_demo.html - ''' - for rect in rects: - height = rect.get_height() - ax.text(rect.get_x()+rect.get_width()/2., 1.05*height, strfrm % float(height), - ha='center', va='bottom') - - -def create_cachedir(dirname='./cache/default'): - if os.path.exists(dirname): - return dirname - else: - os.makedirs(dirname) - return dirname - -def dcg(relevances, rank=20): - relevances = np.asarray(relevances)[:rank] - n_relevances = len(relevances) - if n_relevances == 0: - return 0. - discounts = np.log2(np.arange(n_relevances) + 2) - return np.sum(relevances / discounts) - -def ndcgk(relevances, rank=20): - best_dcg = dcg(sorted(relevances, reverse=True), rank) - if best_dcg == 0: - return 0. - return dcg(relevances, rank) / best_dcg - -def extract_feature_from_model(method, results, split): - model_type = results[method][3][split] - if isinstance(model_type, sklearn.linear_model.coordinate_descent.ElasticNet): - tmp_imp = results[method][3][split].coef_[:, None] - elif isinstance(model_type, sklearn.ensemble.GradientBoostingRegressor): - tmp_imp = results[method][3][split].feature_importances_[:, None] - else: - raise Exception("need to add model %s to feature extraction" % model_type) - return tmp_imp - -def extract_feature_from_model_sum(method, results, split, indexes): - model_type = results[method][3][split] - if isinstance(model_type, sklearn.linear_model.coordinate_descent.ElasticNet): - tmp_imp = np.sum(results[method][3][split].coef_[indexes]) - elif isinstance(model_type, sklearn.ensemble.GradientBoostingRegressor): - tmp_imp = np.sum(results[method][3][split].feature_importances_[indexes]) - else: - raise Exception("need to add model %s to feature extraction" % model_type) - return tmp_imp - -def feature_importances(results, fontsize=16, figsize=(14, 8)): - for method in results.keys(): - feature_names = results[method][6] - - seen = set() - uniq = [] - for ft in feature_names: - if ft not in seen: - uniq.append(ft) - else: - seen.add(ft) - if len(seen) > 0: - raise Exception("feature name appears more than once: %s" % seen) - - # grouped_feat = {'pd_order1' : [i for i,s in enumerate(feature_names) if s.startswith("_pd.Order1")], - # 'pd_order2' : [i for i,s in enumerate(feature_names) if s.startswith("_pd.Order2")], - # 'pd_order3' : [i for i,s in enumerate(feature_names) if s.startswith("_pd.Order3")], - # 'pi_order1' : [i for i,s in enumerate(feature_names) if s.startswith("_pi.Order1")], - # 'pi_order2' : [i for i,s in enumerate(feature_names) if s.startswith("_pi.Order2")], - # 'pi_order3' : [i for i,s in enumerate(feature_names) if s.startswith("_pi.Order3")], - # 'NGGX_pd.Order2' : [i for i,s in enumerate(feature_names) if s.startswith("NGGX_pd.Order2")] - # } - - pd_order1, pi_order1, pd_order2, pi_order2, nggx = [], [], [], [], [] - for i,s in enumerate(feature_names): - if 'False' in s: - continue - elif "_" in s: - nucl, pos = s.split('_') - if len(nucl) == 1: - pd_order1.append(i) - elif len(nucl) == 2: - pd_order2.append(i) - elif "NGGX_pd.Order2" in s: - nggx.append(i) - else: - nucl = s - if len(nucl) == 1: - pi_order1.append(i) - elif len(nucl) == 2: - pi_order2.append(i) - - grouped_feat = {'pd_order2': pd_order2, - 'pi_order2': pi_order2, - 'pd_order1': pd_order1, - 'pi_order1': pi_order1, - 'NGGX_pd.Order2': nggx,} - - grouped_feat_ind = [] - [grouped_feat_ind.extend(grouped_feat[a]) for a in grouped_feat.keys()] - remaining_features_ind = set.difference(set(range(len(feature_names))), set(grouped_feat_ind)) - - for i in remaining_features_ind: - grouped_feat[feature_names[i]] = [i] - - feature_importances_grouped = {} - for k in grouped_feat: - if len(grouped_feat[k]) == 0: - continue - else: - for split in results[method][3].keys(): - split_feat_importance = extract_feature_from_model_sum(method, results, split, grouped_feat[k]) - if k not in feature_importances_grouped: - feature_importances_grouped[k] = [split_feat_importance] - else: - feature_importances_grouped[k].append(split_feat_importance) - - all_split_importances = None - for split in results[method][3].keys(): - - split_feat_importance = extract_feature_from_model(method, results, split) - - if all_split_importances is None: - all_split_importances = split_feat_importance.copy() - else: - all_split_importances = np.append(all_split_importances, split_feat_importance, axis=1) - - avg_importance = np.mean(all_split_importances, axis=1)[:, None] - std_importance = np.std(all_split_importances, axis=1)[:, None] - imp_array = np.concatenate((np.array(feature_names)[:, None], avg_importance, std_importance), axis=1) - - df = pandas.DataFrame(data=imp_array, columns=['Feature name', 'Mean feature importance', 'Std. Dev.']) - df = df.convert_objects(convert_numeric=True) - - boxplot_labels = np.array([k for k in feature_importances_grouped.keys()]) - boxplot_arrays = np.concatenate([np.array(feature_importances_grouped[k])[:, None] for k in boxplot_labels], axis=1) - - feature_dictionary = { - 'pd_order2': 'position dep. order 2 ', - 'pd_order1': 'position dep. order 1 ', - 'pi_order1': 'position ind. order 1 ', - 'pi_order2': 'position ind. order 2 ', - '5mer_end_False': 'Tm (5mer end)', - '5mer_start_False': 'Tm (5mer start)', - 'Amino Acid Cut position': 'amino acid cut position ', - '8mer_middle_False': 'Tm (8mer middle)', - 'NGGX_pd.Order2': 'NGGN interaction ', - 'Tm global_False': 'Tm (30mer)', - 'Percent Peptide': 'percent peptide ', - } - - for i in range(df.shape[0]): - thisfeat = df['Feature name'].iloc[i] - if thisfeat in feature_dictionary.keys(): - df['Feature name'].iloc[i] = feature_dictionary[thisfeat] - - descriptive_labels = np.array([feature_dictionary[k] if k in feature_dictionary.keys() else k + " " for k in boxplot_labels]) - - sorted_boxplot = np.argsort(np.median(boxplot_arrays, axis=0))[::-1] - boxplot_means = np.mean(boxplot_arrays, axis=0)[sorted_boxplot] - boxplot_std = np.std(boxplot_arrays, axis=0)[sorted_boxplot] - - ind = np.arange(0, len(boxplot_labels)*2, 2)# farange(len(boxplot_labels)) - width = 1.5 - plt.figure(figsize=figsize) - plt.bar(ind, boxplot_means, width, color='#186499', yerr=boxplot_std, ecolor='k', edgecolor='none') - - ax = plt.gca() - ax.set_ylabel('Average Gini importances', fontsize=fontsize) - ax.set_xticks(ind+width/2.0 + 0.1) - - ax.set_xticklabels(descriptive_labels[sorted_boxplot], rotation=90, fontsize=fontsize) - plt.ylim([0.0, 0.5]) - plt.subplots_adjust(top = 0.97, bottom = 0.4) - - # plt.boxplot(boxplot_arrays[:, sorted_boxplot]) - # plt.ylabel('Average Gini') - # plt.xticks(range(1, len(boxplot_labels)+1), np.array(boxplot_labels)[sorted_boxplot], rotation=70) - # plt.subplots_adjust(top = 0.97, bottom = 0.4) - return df - -def check_learn_options_set(learn_options_set): - if learn_options_set is None: - return 'ranks' - - non_binary_target_name_agree = True - non_binary_target_name = None - for l in learn_options_set.values(): - if non_binary_target_name is None: - non_binary_target_name = l["testing_non_binary_target_name"] - else: - assert non_binary_target_name == l["testing_non_binary_target_name"], "need to have same testing_non_binary_target_name across all learn options in a set for metrics to be comparable" - return non_binary_target_name - -def get_all_metrics(results, learn_options_set=None, test_metrics=['spearmanr'], add_extras=False, force_by_gene=False): - """ - 'metrics' here are the metrics used to evaluate - """ - all_results = dict([(k, {}) for k in results.keys()]) - genes = results[results.keys()[0]][1][0][0].keys() - - for metric in test_metrics: - for method in all_results.keys(): - all_results[method][metric] = [] - - non_binary_target_name = check_learn_options_set(learn_options_set) - - for method in results.keys(): - truth, predictions = results[method][1][0] - test_indices = results[method][-1] - tmp_genes = results[method][1][0][0].keys() - if len(tmp_genes) != len(tmp_genes) or np.any(tmp_genes==genes): "genes have changed, need to modify code" - all_truth_raw, all_truth_thrs, all_predictions = np.array([]), np.array([]), np.array([]) - - fpr_gene = {} - tpr_gene ={} - y_truth_thresh_all = np.array([]) - y_pred_all = np.array([]) - - for gene in genes: - y_truth, y_pred = truth[gene], predictions[gene] - all_truth_raw = np.append(all_truth_raw, y_truth[non_binary_target_name]) - all_truth_thrs = np.append(all_truth_thrs, y_truth['thrs']) - all_predictions = np.append(all_predictions, y_pred) - - y_truth_thresh_all = np.append(y_truth_thresh_all, y_truth['thrs']) - y_pred_all = np.append(y_pred_all, y_pred) - - if 'spearmanr' in test_metrics: - spearmanr = spearmanr_nonan(y_truth[non_binary_target_name], y_pred)[0] - all_results[method]['spearmanr'].append(spearmanr) - - if 'spearmanr>2.5' in test_metrics: - selected = y_truth[non_binary_target_name] > 1.0 - #spearmanr = sp.stats.spearmanr(y_truth[non_binary_target_name][selected], y_pred[selected])[0] - spearmanr = np.sqrt(np.mean((y_truth[non_binary_target_name][selected] - y_pred[selected])**2)) - all_results[method]['spearmanr>2.5'].append(spearmanr) - - if 'RMSE' in test_metrics: - rmse = np.sqrt(np.mean((y_truth[non_binary_target_name] - y_pred)**2)) - all_results[method]['RMSE'].append(rmse) - - if 'NDCG@5' in test_metrics: - ndcg = ranking_metrics.ndcg_at_k_ties(y_truth[non_binary_target_name], y_pred, 5) - all_results[method]['NDCG@5'].append(ndcg) - - if 'NDCG@10' in test_metrics: - ndcg = ranking_metrics.ndcg_at_k_ties(y_truth[non_binary_target_name], y_pred, 10) - all_results[method]['NDCG@10'].append(ndcg) - - if 'NDCG@20' in test_metrics: - ndcg = ranking_metrics.ndcg_at_k_ties(y_truth[non_binary_target_name], y_pred, 20) - all_results[method]['NDCG@20'].append(ndcg) - - if 'NDCG@50' in test_metrics: - ndcg = ranking_metrics.ndcg_at_k_ties(y_truth[non_binary_target_name], y_pred, 50) - all_results[method]['NDCG@50'].append(ndcg) - - if 'precision@5' in test_metrics: - y_top_truth = (y_truth[non_binary_target_name] >= np.sort(y_truth[non_binary_target_name])[::-1][:5][-1]) * 1 - y_top_pred = (y_pred >= np.sort(y_pred)[::-1][:5][-1]) * 1 - all_results[method]['precision@5'].append(sklearn.metrics.precision_score(y_top_pred, y_top_truth)) - - if 'precision@10' in test_metrics: - y_top_truth = (y_truth[non_binary_target_name] >= np.sort(y_truth[non_binary_target_name])[::-1][:10][-1]) * 1 - y_top_pred = (y_pred >= np.sort(y_pred)[::-1][:10][-1]) * 1 - all_results[method]['precision@10'].append(sklearn.metrics.precision_score(y_top_pred, y_top_truth)) - - if 'precision@20' in test_metrics: - y_top_truth = (y_truth[non_binary_target_name] >= np.sort(y_truth[non_binary_target_name])[::-1][:20][-1]) * 1 - y_top_pred = (y_pred >= np.sort(y_pred)[::-1][:20][-1]) * 1 - all_results[method]['precision@20'].append(sklearn.metrics.precision_score(y_top_pred, y_top_truth)) - - if 'AUC' in test_metrics: - fpr_gene[gene], tpr_gene[gene], _ = sklearn.metrics.roc_curve(y_truth['thrs'], y_pred) - auc = sklearn.metrics.auc(fpr_gene[gene], tpr_gene[gene]) - all_results[method]['AUC'].append(auc) - - if add_extras: - fpr_all, tpr_all, _ = sklearn.metrics.roc_curve(y_truth_thresh_all, y_pred_all) - return all_results, genes, fpr_all, tpr_all, fpr_gene, tpr_gene - else: - return all_results, genes - -def plot_all_metrics(metrics, gene_names, all_learn_options, save, plots=None, bottom=0.19): - num_methods = len(metrics.keys()) - metrics_names = metrics[metrics.keys()[0]].keys() - num_genes = len(gene_names) - width = 0.9/num_methods - ind = np.arange(num_genes) - - if save==True: - first_key = all_learn_options.keys()[0] - #basefile = r"..\results\V%s_trmetric%s_%s" % (all_learn_options[first_key]["V"], all_learn_options[first_key]["training_metric"], datestamp()) - basefile = r"..\results\%s" % (first_key) - - d = os.path.dirname(basefile) - if not os.path.exists(d): - os.makedirs(d) - with open(basefile + ".plot.pickle", "wb") as f: - pickle.dump([metrics, all_learn_options, gene_names], f) - - for metric in metrics_names: - if 'global' not in metric: - plt.figure(metric, figsize=(20, 8)) - elif plots == None or 'gene level' in plots: - plt.figure(metric, figsize=(12, 12)) - - boxplot_labels = [] - boxplot_arrays = {} - boxplot_median = {} - - for i, method in enumerate(metrics.keys()): - boxplot_labels.append(method) - for metric in metrics[method].keys(): - - if 'global' in metric: - plt.figure(metric) - plt.bar([i], metrics[method][metric], 0.9, color=plt.cm.Paired(1.*i/len(metrics.keys())), label=method) - else: - if plots == None or 'gene level' in plots: - plt.figure(metric) - plt.bar(ind+(i*width), metrics[method][metric], width, color=plt.cm.Paired(1.*i/len(metrics.keys())), label=method) - - median_metric = np.median(metrics[method][metric]) - print(method, metric, median_metric) - assert not np.isnan(median_metric), "found nan for %s, %s" % (method, metric) - if metric not in boxplot_arrays.keys(): - boxplot_arrays[metric] = np.array(metrics[method][metric])[:, None] - boxplot_median[metric] = [np.median(np.array(metrics[method][metric]))] - else: - boxplot_arrays[metric] = np.concatenate((boxplot_arrays[metric], np.array(metrics[method][metric])[:, None]), axis=1) - boxplot_median[metric].append(np.median(np.array(metrics[method][metric]))) - - - for metric in metrics_names: - if plots == None or 'gene level' in plots: - ax = plt.figure(metric) - leg = plt.legend(loc='center left', bbox_to_anchor=(1, 0.5)) - # leg.draggable(state=True, use_blit=True) - plt.ylabel(metric) - - if 'global' in metric: - plt.xticks(range(len(metrics.keys())), metrics.keys(), rotation=70) - plt.grid(True, which='both') - plt.subplots_adjust(left = 0.05, right = 0.8) - else: - plt.xticks(ind+width, gene_names) - plt.grid(True, which='both') - plt.subplots_adjust(left = 0.05, right = 0.8) - if save == True: - plt.xticks(ind+0.5, gene_names) - if metric=='AUC': - plt.ylim([0.5, 1.0]) - plt.savefig(basefile + "_" + metric + "_bar" + ".png") - - if (plots == None or "boxplots" in plots) and 'global' not in metric: - plt.figure('Boxplot %s' % metric) - - sorted_boxplot = np.argsort(boxplot_median[metric])[::-1] - - plt.boxplot(boxplot_arrays[metric][:, sorted_boxplot]) - plt.ylabel(metric) - plt.xticks(range(1, num_methods+1), np.array(boxplot_labels)[sorted_boxplot], rotation=70) - plt.subplots_adjust(top = 0.97, bottom = bottom) - - if metric == 'RMSE': - plt.ylim((1.0, 2.0)) - - if save == True: - plt.savefig(basefile + "_" + metric + ".png") - -def load_results(directory, all_results, all_learn_options, model_filter=None, append_to_key=None): - ''' - Only load up files which contain one of the strings in model_filter in their names - model_filter should be a list, or a string - ''' - num_added = 0 - filelist = glob.glob(directory+'\\*.pickle') - if filelist ==[]: - raise Exception("found no pickle files in %s" % directory) - else: - print("found %d files in %s" % (len(filelist), directory)) - - for results_file in filelist: - if 'learn_options' in results_file: - continue - - if model_filter != None: - if isinstance(model_filter, list): - in_filt = False - for m in model_filter: - if m in results_file: - in_filt = True - if not in_filt: - print("%s not in model_filter" % (results_file), model_filter) - continue - elif model_filter not in results_file: - continue - - try: - with open(results_file, 'rb') as f: - results, learn_options = pickle.load(f) - gene_names = None - except: - with open(results_file, 'rb') as f: - # this is when I accidentally saved from the plotting routine and should not generally be needed - results, learn_options, gene_names = pickle.load(f) - - for k in results.keys(): - if append_to_key is not None: - k_new = k + "_" + append_to_key - else: - k_new = k - assert k_new not in all_results.keys(), "found %s already" % k - print("adding key %s (from file %s)" % (k_new, os.path.split(results_file)[-1])) - all_results[k_new] = results[k] - all_learn_options[k_new] = learn_options[k] - num_added = num_added +1 - - if num_added==0: - raise Exception("found no files to add from dir=%s" % directory) - - return all_results, all_learn_options - -def plot_cluster_results(metrics=['spearmanr', 'NDCG@5'], plots=['boxplots'], directory=r'\\fusi1\crispr2\analysis\cluster\results', results=None, learn_options=None, filter=None): - - all_results = {} - all_learn_options = {} - - if results is None: - if type(directory) == list: - for exp_dir in directory: - all_results, all_learn_options = load_results(exp_dir, all_results, all_learn_options, filter) - else: - all_results, all_learn_options = load_results(directory, all_results, all_learn_options, filter) - - else: - for k in results.keys(): - assert k not in all_results.keys() - all_results[k] = results[k] - all_learn_options[k] = learn_options[k] - - all_metrics, gene_names = get_all_metrics(all_results, test_metrics=metrics) - plot_all_metrics(all_metrics, gene_names, all_learn_options, plots=plots, save=False) - - -def ensemble_cluster_results(directory=r'\\fusi1\crispr2\analysis\cluster\results\cluster_experiment_izf_ob', ensemble_type='median', models_to_ensemble=['all']): - all_results = {} - all_learn_options = {} - - for results_file in glob.glob(directory+'\\*.pickle'): - if 'learn_options' in results_file: - continue - - with open(results_file, 'rb') as f: - results, learn_options = pickle.load(f) - - for k in results.keys(): - assert k not in all_results.keys() - all_results[k] = results[k] - all_learn_options[k] = learn_options[k] - - genes = all_results[all_results.keys()[0]][1][0][0].keys() - models = all_results.keys() - - ens_predictions = {} - ens_truths = {} - for g, gene in enumerate(genes): - test_predictions = None - cv_predictions = None - cv_truth = None - - prev_model_truth = None - for i, model in enumerate(models): - if len([m for m in models_to_ensemble if m in model]) == 0: - continue - - truth, predictions = all_results[model][1][0] - - if test_predictions == None: - test_predictions = predictions[gene][:,None] - else: - test_predictions = np.append(test_predictions, predictions[gene][:,None], axis=1) - - # this is just to check that all the models are using the same ordering of - # the ground truth and hence of the samples, as this might mess up the ensemble. - if prev_model_truth is not None: - assert np.all(truth[gene]['ranks'] == prev_model_truth) - else: - prev_model_truth = truth[gene]['ranks'] - - # take all the other genes and stack the predictions under a given model. - cv_predictions_gene_j = np.array([]) - cv_truth_gene_j = np.array([]) - for other_gene in genes: - if gene == other_gene: - continue - cv_predictions_gene_j = np.append(cv_predictions_gene_j, predictions[other_gene]) - cv_truth_gene_j = np.append(cv_truth_gene_j, truth[other_gene]['ranks']) - - if cv_truth is None: - cv_truth = cv_truth_gene_j.copy()[:, None] - - - if cv_predictions is None: - cv_predictions = cv_predictions_gene_j[:, None] - else: - cv_predictions = np.append(cv_predictions, cv_predictions_gene_j[:,None], - axis=1) - - if ensemble_type is 'majority': - y_pred = ensembles.pairwise_majority_voting(test_predictions) - if ensemble_type is 'median': - y_pred = ensembles.median(test_predictions) - if ensemble_type is 'stacking': - y_pred = ensembles.linear_stacking(cv_truth, cv_predictions, test_predictions) - - ens_predictions[gene] = y_pred - ens_truths[gene] = truth[gene] - - all_results[ensemble_type] = [None, [[ens_truths, ens_predictions]], None, None] - all_learn_options[ensemble_type] = None - # spearmans = [] - # for gene in ens_predictions.keys(): - # spearmans.append(sp.stats.spearmanr(ens_predictions[gene], ens_truths[gene]['raw'])[0]) - # print(gene, spearmans[-1]) - # print("median: %.5f" % np.median(spearmans)) - - return all_results, all_learn_options - -def plot_old_vs_new_feat(results, models, fontsize=20, filename=None, print_output=False): - - model_names = [] - for model in models: - if 'doench' in model: - model_names.append('SVM + LogReg') - elif 'AB_' in model: - model_names.append('AdaBoost DT') - else: - model_names.append(model) - - base_spearman_means = [] - base_AUC_means = [] - feat_spearman_means = [] - feat_AUC_means = [] - base_spearman_std = [] - feat_spearman_std = [] - base_AUC_se = [] - feat_AUC_se = [] - - for model in models: - metrics = get_all_metrics({model: results[model]}, test_metrics=['spearmanr', 'AUC'])[0][model] - metrics_feat = get_all_metrics({model + '_feat': results[model + "_feat"]}, test_metrics=['spearmanr', 'AUC'])[0][model + '_feat'] - - base_spearman_means.append(np.mean(metrics['spearmanr'])) - base_spearman_std.append(np.std(metrics['spearmanr'])) - base_AUC_means.append(np.mean(metrics['AUC'])) - base_AUC_se.append(np.std(metrics['AUC'])) - - feat_spearman_means.append(np.mean(metrics_feat['spearmanr'])) - feat_spearman_std.append(np.std(metrics_feat['spearmanr'])) - feat_AUC_means.append(np.mean(metrics_feat['AUC'])) - feat_AUC_se.append(np.std(metrics_feat['AUC'])) - - - print("old features") - print("mean: " + str(base_spearman_means)) - print("std: " + str(base_spearman_std)) - - print("old + new features") - print("mean: " + str(feat_spearman_means)) - print("std: " + str(feat_spearman_std)) - - plt.figure() - ind = np.arange(len(models)) - width = 0.4 - plt.bar(ind, base_spearman_means, width, color='#D14B5D', yerr=base_spearman_std, ecolor='k', edgecolor='none', label='Old features') - plt.bar(ind+width, feat_spearman_means, width, color='#852230', yerr=feat_spearman_std, ecolor='k', edgecolor='none', label='Old + new features') - ax = plt.gca() - ax.set_ylabel('Spearman r', fontsize=fontsize) - ax.set_xticks(ind+width) - ax.set_xticklabels(model_names, fontsize=fontsize) - plt.legend(loc=0, fontsize=fontsize) - plt.yticks(fontsize=fontsize) - plt.ylim((0.0, 0.7)) - remove_top_right_on_plot() - if filename is not None: - plt.savefig(filename + '_spearman.pdf') - - plt.figure() - ind = np.arange(len(models)) - width = 0.4 - plt.bar(ind, base_AUC_means, width, color='#D14B5D', yerr=base_AUC_se, ecolor='k', edgecolor='none', label='Old features') - plt.bar(ind+width, feat_AUC_means, width, color='#852230', yerr=feat_AUC_se, ecolor='k', edgecolor='none', label='Old + new features') - ax = plt.gca() - ax.set_ylabel('AUC', fontsize=fontsize) - ax.set_xticks(ind+width) - ax.set_xticklabels(model_names, fontsize=fontsize) - plt.legend(loc=0) - plt.ylim((0.5, 0.85)) - plt.legend(loc=0, fontsize=fontsize) - plt.yticks(fontsize=fontsize) - remove_top_right_on_plot() - if filename is not None: - plt.savefig(filename + '_AUC.pdf') - - # plt.subplots_adjust(top = 0.97, bottom = 0.4) - - -def remove_top_right_on_plot(ax=None): - if ax==None: - ax = plt.gca() - ax.xaxis.set_ticks_position('bottom') - ax.yaxis.set_ticks_position('left') - ax.spines['right'].set_visible(False) - ax.spines['top'].set_visible(False) - - -if __name__ == '__main__': - get_thirty_one_mer_data(); import ipdb; ipdb.set_trace() - - # v3_v3_a_feat = 'tests/ens/' - # v3_v3_d_feat = 'tests/ens2/' - # # v3_v3_a_feat = r'\\fusi1\crispr2\analysis\cluster\results\cluster_experiment_flmrsw' - # all_results, all_learn_options = {}, {} - # all_results, all_learn_options = util.load_results(v3_v3_a_feat, all_results, all_learn_options, model_filter=None, append_to_key='feat') - # results = dict([('AB', all_results['AB_or2_md3_lr0.10_n100_V3_on_V3_feat'])]) - # df = feature_importances(results) - # all_results, all_learn_options = ensemble_cluster_results(directory=[v3_v3_a_feat], ensemble_type='SVM') - # plot_cluster_results(results=all_results, learn_options=all_learn_options, metrics=['AUC', 'spearmanr']) - # plot_cluster_results(directory=r'\\fusi1\crispr2\analysis\cluster\results') - # all_results = ensemble_cluster_results(ensemble_type='stacking', models_to_ensemble=['L1', 'L2']) - # all_metrics, gene_names = get_all_metrics(all_results) - # plot_all_metrics(all_metrics, gene_names, None, save=False) - #V = "0" - V = "1" - if V=="1": - human_data = pandas.read_excel("data/V1_data.xlsx", sheetname=0, index_col=[0,1]) - mouse_data = pandas.read_excel("data/V1_data.xlsx", sheetname=1, index_col=[0,1]) - X, Y = combine_organisms() - X.to_pickle('../data/X.pd') #sequence features (i.e. inputs to prediction) - Y.to_pickle('../data/Y.pd') #cell-averaged ranks, plus more (i.e. possible targets for prediction) - print("done writing to file") - elif V =="2": - # this is now all in predict.py - pass - elif V=="0": - pass diff --git a/auto_search_corrected/azimuth/util.pyc b/auto_search_corrected/azimuth/util.pyc deleted file mode 100644 index f8a72e0..0000000 Binary files a/auto_search_corrected/azimuth/util.pyc and /dev/null differ diff --git a/auto_search_corrected/bed_for_ref_seq.py b/auto_search_corrected/bed_for_ref_seq.py deleted file mode 100644 index 6d09412..0000000 --- a/auto_search_corrected/bed_for_ref_seq.py +++ /dev/null @@ -1,19 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -""" -Created on Thu Sep 24 15:48:44 2020 - -@author: whitebreeze -""" -import sys - -targets = sys.argv[1] -out = sys.argv[2] - -with open(targets, 'r') as targets: - with open(out+'.bed_for_ref', 'w') as out: - targets.readline() - for line in targets: - splitted = line.strip().split('\t') - end_pos = int(splitted[4]) + len(splitted[1]) - out.write(splitted[3] +'\t'+ splitted[4] +'\t'+ str(end_pos) +'\n') \ No newline at end of file diff --git a/auto_search_corrected/cluster.dict.py b/auto_search_corrected/cluster.dict.py deleted file mode 100644 index cf54dce..0000000 --- a/auto_search_corrected/cluster.dict.py +++ /dev/null @@ -1,443 +0,0 @@ -#!/usr/bin/env python - -# test1 -# script per testare la lettura del file semicommon con pandas, creare una nuova colonna total, chr, pos corretta (ovver la pos senza i bulges), -# e vedere se è fattibile in termini di tempo e memoria -> non fattibile in termini di tempo - -# test2 -# Leggo il file riga per riga, aggiungo le colonne e salvo la lista in una lista, che poi ordino -> ok, 1gb input -> 1.5 min e 11 gb ram -# Input 1.2 Gb -> tempo 2 min; 11Gb RAM - -# test 3 -# Come test2, ma ogni lista è salvata in un dizionario con key = guide, per risolvere il problema di avere più guide in uno stesso cluster. -# Ora se in una posizione ho due guide, creo due cluster separati -# Input 2.8 Gb -> 25 gb ram -# Problema con 5 gb input -> forse servono 50 Gb ram - -# Test 4 -# Uso tuple invece di liste, joino le parti delle lines che non uso, cambio str in int -# Input 2.8 -> 17 Gb, doppio del tempo per clusterizzare, ma sempre sotto i 10 minuti -# Input di 5.6 gb -> non funziona -# sys1 è target file -# sys2 is 'addGuide' or 'no' -> only for web server, only for search with only ref -# sys3 is True to keep column 5 (Pos cluster) and 9 (Total) and added guide, False to do clusterization but do not report the added columns -# sys4 is True if cluster only (no append of Total column or adding of Cluster position, because already present), False otherwise -# sys5 is guides.txt for slow clustering - -# if sys contains 'orderChr', clusters will be ordered by chr -# Output column (not written): Bulge_type, Guide, Target, chr, pos, pos_cluster (optional), direction, mms, bulge, total(optional), real guide(optional) - -# If sys contains orderChr, first call subprocess to sort by chr, cluster pos, real guide -# Poi metto in una lista i target che hanno lo stesso chr clusterpos direction real guide, faccio sort per total e mms, poi lo salvo e passo al prossimo -# Ottengo così i cluster ordinati per chr, ma non ordinati tra di loro (eg un cluster con total 5 può apparire prima di uno con tot - -# NOTE with new search, cluster position is already present, so code for that column is commented -# NOTE 06/03 PAM -> removed PAM Disruption calculation -# NOTE 11/03 Removed TOTAL column (already present in search phase) -import time -import sys -import subprocess -import os -MAX_LIMIT = 50000000 -# For forcing IUPAC before reference target -alphabet = '-RYSWKMBDHVryswkmbdhvACGTacgt' -pam_at_end = True -guides_to_check = set() # Set of error guides, do not do computation on them -if os.path.exists('./guides_error.txt'): - with open('guides_error.txt') as g_e: - for line in g_e: - line = line.strip() - guides_to_check.add(line) - if line[0] == 'N': - pam_at_end = False -with open(sys.argv[5]) as guides: - for guide in guides: - if guide[0] == 'N': - pam_at_end = False - -strand_to_check = '-' -if pam_at_end: - strand_to_check = '+' - -start = time.time() -total_targets = [] -guides_dict = dict() -addGuide = False # Add real guide to last column for better grep -if 'addGuide' in sys.argv[:]: - addGuide = True -if sys.argv[3] == 'True': - keep_columns = True -else: - keep_columns = False - -add_for_final = '\tSamples\tAnnotation Type\tReal Guide\tID\tAF\tSNP\n' - -result_name = sys.argv[1][:sys.argv[1].rfind('.')] + '.cluster.txt' -cluster_only = False -if sys.argv[4] == 'True': - cluster_only = True - -process = subprocess.Popen(['wc', '-l', sys.argv[1]], - stdout=subprocess.PIPE, stderr=subprocess.PIPE) -out, err = process.communicate() -total_line = int(out.decode('UTF-8').split(' ')[0]) -dirname = os.path.dirname(sys.argv[1]) - -# Do cluster by orderChr NEW VERSION -if 'orderChr' in sys.argv[:]: - start_time = time.time() - subprocess.run(['sort -T ' + dirname + ' -k4,4 -k6,6 -k15,15 -k7,7 ' + sys.argv[1] + ' > ' + result_name + - '.tmp_sort.txt'], shell=True) # sort input file by chr, clusterpos, real guide, direction - print('END Sorting', time.time() - start_time) - start_time = time.time() - with open(result_name + '.tmp_sort.txt') as targets, open(result_name, 'w+') as result: - # Write Header - if 'total' not in sys.argv[:]: - if addGuide: - if keep_columns: - result.write( - '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster Position\tDirection\tMismatches\tBulge_Size\tTotal\tReal Guide\n') - else: - result.write( - '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tDirection\tMismatches\tBulge_Size\tReal Guide\n') - else: - if keep_columns: - result.write( - '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster Position\tDirection\tMismatches\tBulge_Size\tTotal\n') - else: - result.write( - '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tDirection\tMismatches\tBulge_Size\n') - else: - result.write( - '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster Position\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tVar_uniq' + add_for_final) - current_chr_pos_dir_g = '' - current_cluster = [] - for line in targets: - if '#' in line: # Skip header - continue - line = line.strip().split('\t') - if line[3] + line[5] + line[6] + line[14] != current_chr_pos_dir_g: # NEW CLUSTER FOUND - # Sort previous cluster - # Sort by total, mismatches, and prioritize IUPAC characters - current_cluster.sort(key=lambda x: ( - x[9], x[7], [alphabet.index(c) for c in x[2]])) - - # Save previous cluster - for t in current_cluster: - result.write('\t'.join(t) + '\n') - - # Initialize new cluster - current_cluster = [] - current_cluster.append(line) - current_chr_pos_dir_g = line[3] + line[5] + line[6] + line[14] - else: # IN THE SAME CLUSTER - current_cluster.append(line) - # Sort and save last cluster - current_cluster.sort(key=lambda x: ( - x[9], x[7], [alphabet.index(c) for c in x[2]])) - for t in current_cluster: - result.write('\t'.join(t) + '\n') - - # Remove tmp sort - os.remove(result_name + '.tmp_sort.txt') - print('END Clustering (Local)', time.time() - start_time) - exit() - -if total_line > MAX_LIMIT: - print('Max limit file reached, using clustering by single guide') - ok_guides = [] - write_header = True - with open(sys.argv[5]) as guides: - for guide in guides: - if guide in guides_to_check: - continue - current_count = 0 - cluster_ok = True - guide = guide.strip() - # DO SLOW CLUSTERING - with open(sys.argv[1]) as targets: - for line in targets: - line = line.strip().split('\t') - if '#' in line[0] or line[1].replace('-', '') != guide: - continue - # if not cluster_only: - # line.append(str(int(line[7]) + int(line[8]))) #Total column - - current_count += 1 - if current_count > MAX_LIMIT: - print('The guide ' + guide + ' has more than ' + - str(MAX_LIMIT) + ' targets. Skipping...') - # with open('./guides_error.txt', 'a+') as guides_error: - # guides_error.write(guide + '\n') - subprocess.run( - ['mv ' + sys.argv[1] + ' ' + sys.argv[1].replace('.txt', '.cluster.txt')], shell=True) - cluster_ok = False - del guides_dict[guide] - break - try: - guides_dict[line[1].replace('-', '')].append(('\t'.join(line[:2]), line[2], line[3], int(line[4]), int(line[5]), str(line[6]), int( - line[7]), int(line[8]), int(line[9]), '\t'.join(line[10:]))) # [('type\tguide', 'target', 'chr', pos, clusterpos, 'dir', mm, bul, tot)] - except: - guides_dict[line[1].replace('-', '')] = [('\t'.join(line[:2]), line[2], line[3], int(line[4]), int( - line[5]), str(line[6]), int(line[7]), int(line[8]), int(line[9]), '\t'.join(line[10:]))] - if not cluster_ok: - continue - if not cluster_only: - print('Created \'Total\' and \'Position Cluster\' columns:', - time.time() - start) - else: - print('Loaded targets: ', time.time() - start) - start = time.time() - # total_targets.sort(key = lambda x: ( x[3] , int(x[-1]) )) - for k in guides_dict.keys(): - # Order by chr_clusterpos - guides_dict[k].sort(key=lambda x: (x[2], x[4])) - #total_targets.sort(key = lambda x: ( x[3] , int(x[5]) )) - - print('Targets sorted:', time.time() - start) - - print('Start clustering') - start_time = time.time() - - with open(result_name, 'a+') as result: - if write_header: - # TODO fix for offline release, praticamente se sto facendo cluster su total.txt metto l'header custom - if 'total' not in sys.argv[:]: - if addGuide: - if keep_columns: - result.write( - '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster Position\tDirection\tMismatches\tBulge_Size\tTotal\tReal Guide\n') - else: - result.write( - '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tDirection\tMismatches\tBulge_Size\tReal Guide\n') - else: - if keep_columns: - result.write( - '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster Position\tDirection\tMismatches\tBulge_Size\tTotal\n') - else: - result.write( - '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tDirection\tMismatches\tBulge_Size\n') - else: - if 'addForFinal' in sys.argv[:]: - result.write( - '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tGenome' + add_for_final) - else: - result.write( - '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster Position\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tVar_uniq' + add_for_final) - write_header = False - total_targets = [] - for k in guides_dict.keys(): - total_targets += guides_dict[k] - total_list = [] - - first_line = total_targets[0] - # current_chr_pos = first_line[3] + ' ' + first_line[9] - # chr clusterpos direction - current_chr_pos = first_line[2] + \ - str(first_line[4]) + first_line[5] - - total_list.append([first_line]) - - for line in total_targets[1:]: - # if line[3] + ' ' + line[9] != current_chr_pos: - if line[2] + str(line[4]) + line[5] != current_chr_pos: - # total_list[-1].sort(key = lambda x: int(x[8])) - # Order cluster by total and mms, and prioritize targets with IUPAC - total_list[-1].sort(key=lambda x: (x[8], - x[6], [alphabet.index(c) for c in x[1]])) - total_list.append([line]) - # current_chr_pos = line[3] + ' ' + line[9] - current_chr_pos = line[2] + str(line[4]) + line[5] - else: - total_list[-1].append(line) - - # Order last cluster by total and mms, and prioritize targets with IUPAC - total_list[-1].sort(key=lambda x: (x[8], - x[6], [alphabet.index(c) for c in x[1]])) - - # Order all clusters by total of top1 - total_list.sort(key=lambda x: x[0][8]) - if 'orderChr' in sys.argv[:]: - # and then for chr, needed for sample annotation and summary by position - total_list.sort(key=lambda x: x[0][2]) - if addGuide: - if keep_columns: - for cluster in total_list: - for target in cluster: - result.write('\t'.join(str(x) for x in target).strip( - ) + '\t' + target[0].split('\t')[1].replace('-', '') + '\n') - else: - for cluster in total_list: - for target in cluster: - result.write('\t'.join(str(x) for x in target[:4]) + '\t' + '\t'.join(str( - x) for x in target[5:8]) + '\t' + target[9].strip() + '\t' + target[0].split('\t')[1].replace('-', '') + '\n') - - else: - if keep_columns: - if 'addForFinal' in sys.argv[:]: - # Remove CLuster column and change Var uniq into genome, writinf REF if sample = 'n', ENR if exists at least one sample - for cluster in total_list: - for target in cluster: - # Contains from PAM creation to RealGuide - last_info = target[-1].split('\t') - if last_info[2] != 'n': # target has at least one sample - last_info[1] = 'ENR' - else: - last_info[1] = 'REF' - # Remove cluster column and last column, but this one will get written through last_info - remove_indices = {4, 9} - result.write('\t'.join([str(x) for pos, x in enumerate( - target) if pos not in remove_indices]).strip() + '\t' + '\t'.join(last_info).strip() + '\n') - else: - for cluster in total_list: - for target in cluster: - result.write( - '\t'.join([str(x) for x in target]).strip() + '\n') - else: - for cluster in total_list: - for target in cluster: - result.write('\t'.join(str(x) for x in target[:4]) + '\t' + '\t'.join( - str(x) for x in target[5:8]) + '\t' + target[9].strip() + '\n') - del guides_dict[guide] - ok_guides.append(guide) - print("Clustering runtime: %s seconds" % - (time.time() - start_time)) - with open(sys.argv[5], 'w') as guides: - guides.write('\n'.join(ok_guides)) - -else: - # DO FAST CLUSTERING - with open(sys.argv[1]) as targets: - for line in targets: - if '#' in line: - continue - line = line.strip().split('\t') - if line[1].replace('-', '') in guides_to_check: - continue - # if not cluster_only: - # line.append(str(int(line[7]) + int(line[8]))) #Add Total column - - try: - guides_dict[line[1].replace('-', '')].append(('\t'.join(line[:2]), line[2], line[3], int(line[4]), int(line[5]), str(line[6]), int( - line[7]), int(line[8]), int(line[9]), '\t'.join(line[10:]))) # [('type\tguide', 'target', 'chr', pos, clusterpos, 'dir', mm, bul, tot)] - except: - guides_dict[line[1].replace('-', '')] = [('\t'.join(line[:2]), line[2], line[3], int(line[4]), int( - line[5]), str(line[6]), int(line[7]), int(line[8]), int(line[9]), '\t'.join(line[10:]))] - # total_targets.append(line) - if not cluster_only: - print('Created \'Total\' and \'Position Cluster\' columns:', - time.time() - start) - else: - print('Loaded targets: ', time.time() - start) - start = time.time() - # total_targets.sort(key = lambda x: ( x[3] , int(x[-1]) )) - for k in guides_dict.keys(): - # Order by chr_clusterpos - guides_dict[k].sort(key=lambda x: (x[2], x[4])) - #total_targets.sort(key = lambda x: ( x[3] , int(x[5]) )) - - print('Targets sorted:', time.time() - start) - - print('Start clustering') - start_time = time.time() - - with open(result_name, 'w+') as result: - # TODO fix for offline release, praticamente se sto facendo cluster su total.txt metto l'header custom - if 'total' not in sys.argv[:]: - if addGuide: - if keep_columns: - result.write( - '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster Position\tDirection\tMismatches\tBulge_Size\tTotal\tReal Guide\n') - else: - result.write( - '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tDirection\tMismatches\tBulge_Size\tReal Guide\n') - else: - if keep_columns: - result.write( - '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster Position\tDirection\tMismatches\tBulge_Size\tTotal\n') - else: - result.write( - '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tDirection\tMismatches\tBulge_Size\n') - else: - if 'addForFinal' in sys.argv[:]: - result.write( - '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tGenome' + add_for_final) - else: - result.write( - '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster Position\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tVar_uniq' + add_for_final) - - total_targets = [] - for k in guides_dict.keys(): - total_targets += guides_dict[k] - total_list = [] - - if not total_targets: - print('No targets to clusterize, exit...') - sys.exit() - first_line = total_targets[0] - # current_chr_pos = first_line[3] + ' ' + first_line[9] - current_chr_pos = first_line[2] + str(first_line[4]) + first_line[5] - - total_list.append([first_line]) - - for line in total_targets[1:]: - # if line[3] + ' ' + line[9] != current_chr_pos: - if line[2] + str(line[4]) + line[5] != current_chr_pos: - # total_list[-1].sort(key = lambda x: int(x[8])) - # Order cluster by total and mms - total_list[-1].sort(key=lambda x: (x[8], - x[6], [alphabet.index(c) for c in x[1]])) - total_list.append([line]) - # current_chr_pos = line[3] + ' ' + line[9] - current_chr_pos = line[2] + str(line[4]) + line[5] - else: - total_list[-1].append(line) - - # Order last cluster by total and mms - total_list[-1].sort(key=lambda x: (x[8], x[6], - [alphabet.index(c) for c in x[1]])) - # Order all clusters by total of top1 - total_list.sort(key=lambda x: x[0][8]) - if 'orderChr' in sys.argv[:]: - # and then for chr, needed for sample annotation and summary by position - total_list.sort(key=lambda x: x[0][2]) - if addGuide: - if keep_columns: - for cluster in total_list: - for target in cluster: - result.write('\t'.join(str(x) for x in target).strip( - ) + '\t' + target[0].split('\t')[1].replace('-', '') + '\n') - else: - for cluster in total_list: - for target in cluster: - result.write('\t'.join(str(x) for x in target[:4]) + '\t' + '\t'.join(str( - x) for x in target[5:8]) + '\t' + target[9].strip() + '\t' + target[0].split('\t')[1].replace('-', '') + '\n') - - else: - if keep_columns: - if 'addForFinal' in sys.argv[:]: - # Remove CLuster column and change Var uniq into genome, writinf REF if sample = 'n', ENR if exists at least one sample - for cluster in total_list: - for target in cluster: - # Contains from PAM creation to RealGuide - last_info = target[-1].split('\t') - if last_info[2] != 'n': # target has at least one sample - last_info[1] = 'ENR' - else: - last_info[1] = 'REF' - # Remove cluster column and last column, but this one will get written through last_info - remove_indices = {4, 9} - result.write('\t'.join([str(x) for pos, x in enumerate( - target) if pos not in remove_indices]).strip() + '\t' + '\t'.join(last_info).strip() + '\n') - else: - for cluster in total_list: - for target in cluster: - result.write( - '\t'.join([str(x) for x in target]).strip() + '\n') - else: - for cluster in total_list: - for target in cluster: - result.write('\t'.join(str(x) for x in target[:4]) + '\t' + '\t'.join( - str(x) for x in target[5:8]) + '\t' + target[9].strip() + '\n') - - print("Clustering runtime: %s seconds" % (time.time() - start_time)) diff --git a/auto_search_corrected/compact_ref_var.py b/auto_search_corrected/compact_ref_var.py deleted file mode 100644 index 23ddd43..0000000 --- a/auto_search_corrected/compact_ref_var.py +++ /dev/null @@ -1,49 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -""" -Created on Tue Jun 16 21:49:49 2020 - -@author: francesco -""" -import sys -import os -import time - -fileCFD = sys.argv[1] - -file_out = open(fileCFD+".tmp.txt","w") -start = time.time() -with open(fileCFD, "r") as f: - file_out.write(f.readline()) - prev_key = "empty" - cluster = [] - for line in f: - splitted = line.rstrip().split("\t") - key = splitted[3] + " " + splitted[5] + " " + splitted[6] - if key == prev_key: - cluster.append(splitted) - else: - if cluster: - #cluster.sort(key = lambda x : float(x[-1]), reverse = True) - cluster = ['\t'.join(x) for x in cluster] - file_out.write('\t'.join(cluster)+"\n") - prev_key = key - cluster = [splitted] - else: - prev_key = key - cluster = [splitted] - - #last cluster - if len(cluster) > 1: - #cluster.sort(key = lambda x : float(x[-1]), reverse = True) - cluster = ['\t'.join(x) for x in cluster] - file_out.write('\t'.join(cluster)+"\n") - else: - cluster = ['\t'.join(x) for x in cluster] - file_out.write('\t'.join(cluster)+"\n") - - os.system("mv "+fileCFD+".tmp.txt "+fileCFD) - -print('Adjusting results done in: '+str(time.time()-start)) - - diff --git a/auto_search_corrected/correct_positions_targets.py b/auto_search_corrected/correct_positions_targets.py deleted file mode 100644 index a58c595..0000000 --- a/auto_search_corrected/correct_positions_targets.py +++ /dev/null @@ -1,39 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -""" -Created on Fri Jul 10 12:32:36 2020 - -@author: francesco -""" - -import pandas as pd -import sys -import numpy as np -import time - -start_time = time.time() -df = pd.read_csv(sys.argv[1], sep='\t') -df_out = pd.DataFrame(df.values, columns = df.columns) -df_out = df_out.rename(columns={"Chromosome":"Chromosome_fake"}) -n_cols = df.shape[1] -df_out["Chromosome"] = np.zeros([df.shape[0],1]) - -chroms = df_out["Chromosome_fake"].copy() -for line in range(df.shape[0]): - splitted_dash = chroms[line].split('-') - chrom_fake, start_position = splitted_dash[0].split('_')[0], int(splitted_dash[0].split('_')[1]) - #samples = chroms[line].split('_')[-1] - df_out.iloc[line,4] = df.iloc[line,4]+start_position - df_out.iloc[line,5] = df.iloc[line,5]+start_position - df_out.iloc[line,n_cols] = chrom_fake - #df_out.iloc[line,-1] = samples - #df_out.iloc[line,3] = splitted_dash[0].split(':')[0] - -cols = df_out.columns.tolist() -cols.remove("Chromosome_fake") -cols.remove("Chromosome") -df_cols = cols[0:3] + ["Chromosome"] + cols[3:] + ["Chromosome_fake"] -df_out = df_out[df_cols] -df_out.to_csv(sys.argv[1]+".corrected", index=False, sep='\t') -print("Adjusted position in ", time.time()-start_time) - diff --git a/auto_search_corrected/create_dict.py b/auto_search_corrected/create_dict.py deleted file mode 100644 index 22c4c61..0000000 --- a/auto_search_corrected/create_dict.py +++ /dev/null @@ -1,21 +0,0 @@ -#!/usr/bin/env python - -import os -import sys -from datetime import datetime - - -vcf_dir = sys.argv[1] -files = os.listdir(vcf_dir) -vcf_name = sys.argv[2] -output_folder = sys.argv[3] -log = sys.argv[4] - -for f in files: - if "vcf.gz" in f: - print("Creating dictionary for file", f) - number = f.split(".")[1].replace('chr', '') - os.system("./creazione_dizionari_zipped.py "+vcf_dir+"/"+f+" "+str(number)) - os.system("mv "+'my_dict_chr' + number + '.json'+" "+output_folder+"/dictionaries_"+vcf_name+"/") - -os.system('echo "Dictionaries End: '+datetime.now().strftime('%Y-%m-%d %H:%M:%S')+'" >> '+output_folder+'/'+log) diff --git a/auto_search_corrected/creazione_dizionari_unzipped.py b/auto_search_corrected/creazione_dizionari_unzipped.py deleted file mode 100644 index 9e65cf7..0000000 --- a/auto_search_corrected/creazione_dizionari_unzipped.py +++ /dev/null @@ -1,81 +0,0 @@ -#!/usr/bin/env python - -''' -Generate json dictionaries for sample extraction -''' -# 30 min per vcf di chr1 -> 6gb -import gzip -import sys -import json -import time -import os - -# argv1 is ALLchrx.gzip --> Create the json file containing chr, pos, ref, alt, list of samples (HG001,HG002...) -# argv2 is chr number (eg 1) -chr_dict = dict() -start_time = time.time() -with open(sys.argv[1], 'r') as targets: #gzip.open(sys.argv[1], 'rb') - #Skip vcf header - for line in targets: - #line = line.decode('ascii') - if ('#CHROM') in line: - column_vcf = line.strip().split('\t') #Save this header for retrieving sample id - break - first_line = True - pos_AF = 0 - for line in targets: #Save CHROM [0], POS[1], RSID[2], REF [3], ALT [4], AF[7], List of Samples [9:] - line = line.strip().split('\t') #.decode('ascii') - if first_line: - first_line = False - splitted = line[7].split(";") - for pos, ele in enumerate(splitted): - if ele[0:2] == "AF": - pos_AF = pos - break - list_samples = [] - list_chars = [] - if len(line[3]) == 1 and len(line[4]) == 1: - for pos, i in enumerate(line[9:]): #if sample has 1|1 0|1 or 1|0, #NOTE may change for different vcf - if ('1' in i): - list_samples.append(column_vcf[ pos + 9]) - if "chr" not in line[0]: - line[0] = "chr"+line[0] - chr_pos_string = line[0] + ',' + line[1] - #Add in last two position the ref and alt nucleotide, eg: chrX,100 -> sample1,sample5,sample10;A,T - #If no sample was found, the dict is chrX,100 -> ;A,T - rsID = line[2] - list_chars.append(line[3]) - list_chars.append(line[4]) - af = line[7].split(";")[pos_AF][3:] #retrieve AF=number --> number - if len(list_samples) > 0: - chr_dict[chr_pos_string] = ','.join(sorted(list_samples)) + ';' + ','.join(list_chars) + ";" + rsID + ";" + af - else: - chr_dict[chr_pos_string] = ';' + ','.join(list_chars) + ";" + rsID + ";" + af #None - elif len(line[3]) == 1: - variants = line[4].split(",") - snps = [] - for var in variants: - if len(var) == 1: - snps.append(var) - if len(snps) > 0: - for pos, i in enumerate(line[9:]): - if ('1' in i): - list_samples.append(column_vcf[ pos + 9]) - if "chr" not in line[0]: - line[0] = "chr"+line[0] - chr_pos_string = line[0] + ',' + line[1] - rsID = line[2] - af = line[7].split(";")[pos_AF][3:] - for snp in snps: - list_chars = [line[3]] - list_chars.append(snp) - if len(list_samples) > 0: - chr_dict[chr_pos_string] = ','.join(sorted(list_samples)) + ';' + ','.join(list_chars) + ";" + rsID + ";" + af - else: - chr_dict[chr_pos_string] = ';' + ','.join(list_chars) + ";" + rsID + ";" + af #None - - -with open('my_dict_chr' + sys.argv[2] + '.json', 'w') as f: - json.dump(chr_dict, f) -print('Created ' + 'my_dict_chr' + sys.argv[2] + '.json' + ' in', time.time() - start_time) - diff --git a/auto_search_corrected/creazione_dizionari_zipped.py b/auto_search_corrected/creazione_dizionari_zipped.py deleted file mode 100644 index 6ede415..0000000 --- a/auto_search_corrected/creazione_dizionari_zipped.py +++ /dev/null @@ -1,80 +0,0 @@ -#!/usr/bin/env python - -''' -Generate json dictionaries for sample extraction -''' -# 30 min per vcf di chr1 -> 6gb -import gzip -import sys -import json -import time -import os - -# argv1 is ALLchrx.gzip --> Create the json file containing chr, pos, ref, alt, list of samples (HG001,HG002...) -# argv2 is chr number (eg 1) -chr_dict = dict() -start_time = time.time() -with gzip.open(sys.argv[1], 'rt') as targets: - #Skip vcf header - for line in targets: - #line = line.decode('ascii') - if ('#CHROM') in line: - column_vcf = line.strip().split('\t') #Save this header for retrieving sample id - break - first_line = True - pos_AF = 0 - for line in targets: #Save CHROM [0], POS[1], RSID[2], REF [3], ALT [4], AF[7], List of Samples [9:] - line = line.strip().split('\t') #decode('ascii'). - if first_line: - first_line = False - splitted = line[7].split(";") - for pos, ele in enumerate(splitted): - if ele[0:2] == "AF": - pos_AF = pos - break - list_samples = [] - list_chars = [] - - if len(line[3]) == 1 and len(line[4]) == 1: - for pos, i in enumerate(line[9:]): #if sample has 1|1 0|1 or 1|0, #NOTE may change for different vcf - if ('1' in i): - list_samples.append(column_vcf[ pos + 9]) - if "chr" not in line[0]: - line[0] = "chr"+line[0] - chr_pos_string = line[0] + ',' + line[1] - #Add in last two position the ref and alt nucleotide, eg: chrX,100 -> sample1,sample5,sample10;A,T - #If no sample was found, the dict is chrX,100 -> ;A,T - rsID = line[2] - list_chars.append(line[3]) - list_chars.append(line[4]) - af = line[7].split(";")[pos_AF][3:] #retrieve AF=number --> number - if len(list_samples) > 0: - chr_dict[chr_pos_string] = ','.join(sorted(list_samples)) + ';' + ','.join(list_chars) + ";" + rsID + ";" + af - else: - chr_dict[chr_pos_string] = ';' + ','.join(list_chars) + ";" + rsID + ";" + af #None - elif len(line[3]) == 1: - variants = line[4].split(",") - snps = [] - for var in variants: - if len(var) == 1: - snps.append(var) - if len(snps) > 0: - for pos, i in enumerate(line[9:]): - if ('1' in i): - list_samples.append(column_vcf[ pos + 9]) - if "chr" not in line[0]: - line[0] = "chr"+line[0] - chr_pos_string = line[0] + ',' + line[1] - rsID = line[2] - af = line[7].split(";")[pos_AF][3:] - for snp in snps: - list_chars = [line[3]] - list_chars.append(snp) - if len(list_samples) > 0: - chr_dict[chr_pos_string] = ','.join(sorted(list_samples)) + ';' + ','.join(list_chars) + ";" + rsID + ";" + af - else: - chr_dict[chr_pos_string] = ';' + ','.join(list_chars) + ";" + rsID + ";" + af #None - -with open('my_dict_chr' + sys.argv[2] + '.json', 'w') as f: - json.dump(chr_dict, f) -print('Created ' + 'my_dict_chr' + sys.argv[2] + '.json' + ' in', time.time() - start_time) diff --git a/auto_search_corrected/crisprme.py b/auto_search_corrected/crisprme.py deleted file mode 100644 index 518e26c..0000000 --- a/auto_search_corrected/crisprme.py +++ /dev/null @@ -1,821 +0,0 @@ -#!/usr/bin/env python - -import sys -import os - -script_path = os.path.dirname(os.path.abspath(__file__)) - -# path where this file is located -# origin_path = os.path.dirname(os.path.realpath(__file__)) -# conda path -conda_path = "opt/crisprme/auto_search_corrected/" -# path corrected to use with conda -corrected_origin_path = script_path[:-3]+conda_path - -script_path = corrected_origin_path - -input_args = sys.argv - - -def post_analysis_only(): - variant = True - - if "--help" in input_args: - print("This is the post-analysis process that goes from targets generated by the search operation and generates the final results.") - print("These are the flags that must be used in order to run this function:") - print("\t--targetdir, used to specify the directory containing the results of the search step (also post-analysis results will be stored in this folder)") - print("\t--genome, used to specify the reference genome folder") - print("\t--vcf, used to specify the VCF folder [OPTIONAL!]") - print("\t--guide, used to specify the file that contains guides used for the search") - print("\t--pam, used to specify the file that contains the pam") - print("\t--annotation, used to specify the file that contains some annotations of the reference genome") - print("\t--samplesID, used to specify the file that contains the information about samples present in VCF files [OPTIONAL!]") - print("\t--bMax, used to specify the number of bulges for the indexing of the genome(s)") - print("\t--mm, used to specify the number of mismatches permitted in the search phase") - print("\t--bDNA, used to specify the number of DNA bulges permitted in the search phase [OPTIONAL!]") - print("\t--bRNA, used to specify the number of RNA bulges permitted in the search phase [OPTIONAL!]") - print("\t--merge, used to specify the threshold used to merge close targets [OPTIONAL!]") - print("\t--thread, used to set the number of thread used in the process (default is ALL available minus 2)") - # print("\t--output, used to specify the output folder for the results") - exit(0) - - if "--targetdir" not in input_args: - print("--targetdir must be contained in the input") - exit(1) - else: - try: - targetdir = os.path.abspath( - input_args[input_args.index("--targetdir")+1]) - except IndexError: - print("Please input some parameter for flag --targetdir") - exit(1) - if not os.path.isdir(targetdir): - print("The folder specified for --targetdir does not exist") - exit(1) - - if "--genome" not in input_args: - print("--genome must be contained in the input") - exit(1) - else: - try: - genomedir = os.path.abspath( - input_args[input_args.index("--genome")+1]) - except IndexError: - print("Please input some parameter for flag --genome") - exit(1) - if not os.path.isdir(genomedir): - print("The folder specified for --genome does not exist") - exit(1) - - if "--vcf" not in input_args: - variant = False - else: - try: - vcfdir = os.path.abspath(input_args[input_args.index("--vcf")+1]) - except IndexError: - print("Please input some parameter for flag --vcf") - exit(1) - if not os.path.isdir(vcfdir): - print("The folder specified for --vcf does not exist") - exit(1) - - if "--guide" not in input_args: - print("--guide must be contained in the input") - exit(1) - else: - try: - guidefile = os.path.abspath( - input_args[input_args.index("--guide")+1]) - except IndexError: - print("Please input some parameter for flag --guide") - exit(1) - if not os.path.isfile(guidefile): - print("The folder specified for --guide does not exist") - exit(1) - - if "--pam" not in input_args: - print("--pam must be contained in the input") - exit(1) - else: - try: - pamfile = os.path.abspath(input_args[input_args.index("--pam")+1]) - except IndexError: - print("Please input some parameter for flag --pam") - exit(1) - if not os.path.isfile(pamfile): - print("The folder specified for --pam does not exist") - exit(1) - - if "--annotation" not in input_args: - print("--annotation must be contained in the input") - exit(1) - else: - try: - annotationfile = os.path.abspath( - input_args[input_args.index("--annotation")+1]) - except IndexError: - print("Please input some parameter for flag --annotation") - exit(1) - if not os.path.isfile(annotationfile): - print("The folder specified for --annotation does not exist") - exit(1) - - if variant and "--samplesID" not in input_args: - print("--samplesID must be contained in the input") - exit(1) - elif not variant and "--samplesID" in input_args: - print("--samplesID was in the input but no VCF directory was specified") - exit(1) - elif "--samplesID" in input_args: - try: - samplefile = os.path.abspath( - input_args[input_args.index("--samplesID")+1]) - except IndexError: - print("Please input some parameter for flag --samplesID") - exit(1) - if not os.path.isfile(samplefile): - print("The folder specified for --samplesID does not exist") - exit(1) - - if "--bMax" not in input_args: - print("--bMax must be contained in the input") - exit(1) - else: - try: - bMax = input_args[input_args.index("--bMax")+1] - except IndexError: - print("Please input some parameter for flag --bMax") - exit(1) - try: - bMax = int(bMax) - except: - print("Please input a number for flag bMax") - exit(1) - if bMax < 0 or bMax > 2: - print("The range for bMax is from 0 to 2") - exit(1) - - if "--thread" not in input_args: - # print("--thread must be contained in the input") - # exit(1) - thread = len(os.sched_getaffinity(0))-2 - else: - try: - thread = input_args[input_args.index("--thread")+1] - except IndexError: - print("Please input some parameter for flag --thread") - exit(1) - try: - thread = int(thread) - except: - print("Please input a number for flag bMax") - exit(1) - if thread <= 0 or thread > len(os.sched_getaffinity(0))-2: - print("thread is set to default (ALL available minus 2)") - thread = len(os.sched_getaffinity(0))-2 - # exit(1) - - if "--mm" not in input_args: - print("--mm must be contained in the input") - exit(1) - else: - try: - mm = input_args[input_args.index("--mm")+1] - except IndexError: - print("Please input some parameter for flag --mm") - exit(1) - try: - mm = int(mm) - except: - print("Please input a number for flag mm") - exit(1) - - if "--bDNA" not in input_args: - #print("--bDNA must be contained in the input") - #exit(1) - bDNA = 0 - else: - try: - bDNA = input_args[input_args.index("--bDNA")+1] - except IndexError: - print("Please input some parameter for flag --bDNA") - exit(1) - try: - bDNA = int(bDNA) - except: - print("Please input a number for flag bDNA") - exit(1) - if bDNA > bMax: - print("The number of bDNA must be equal or less than bMax") - exit(1) - elif bDNA < 0 or bDNA > 2: - print("The range for bDNA is from 0 to", bMax) - exit(1) - - if "--bRNA" not in input_args: - #print("--bRNA must be contained in the input") - #exit(1) - bRNA = 0 - else: - try: - bRNA = input_args[input_args.index("--bRNA")+1] - except IndexError: - print("Please input some parameter for flag --bRNA") - exit(1) - try: - bRNA = int(bRNA) - except: - print("Please input a number for flag bRNA") - exit(1) - if bRNA > bMax: - print("The number of bRNA must be equal or less than bMax") - exit(1) - elif bRNA < 0 or bRNA > 2: - print("The range for bRNA is from 0 to", bMax) - exit(1) - - if "--merge" not in input_args: - #print("--merge must be contained in the input") - #exit(1) - merge_t = 0 - else: - try: - merge_t = input_args[input_args.index("--merge")+1] - except IndexError: - print("Please input some parameter for flag --merge") - exit(1) - try: - merge_t = int(merge_t) - except: - print("Please input a number for flag merge") - exit(1) - if merge_t < 0: - print("Please specify a positive number for --merge") - exit(1) - - os.chdir(script_path) - if variant: - os.system("./post_analysis_only.sh "+genomedir+" "+vcfdir+" "+guidefile+" "+pamfile+" "+annotationfile+" "+samplefile+" "+str(bMax) + - " "+str(mm)+" "+str(bDNA)+" "+str(bRNA)+" "+str(merge_t)+" "+targetdir+" "+script_path+" "+str(thread)) - else: - os.system("./post_analysis_only.sh "+genomedir+" _ "+guidefile+" "+pamfile+" "+annotationfile+" _ "+str(bMax)+" "+str(mm) + - " "+str(bDNA)+" "+str(bRNA)+" "+str(merge_t)+" "+targetdir+" "+script_path+" "+str(thread)) - - -def search_only(): - variant = True - - if "--help" in input_args: - print("This is the search process that goes from raw input up to the generation of targets.") - print("These are the flags that must be used in order to run this function:") - print("\t--genome, used to specify the reference genome folder") - print("\t--vcf, used to specify the VCF folder [OPTIONAL!]") - print("\t--guide, used to specify the file that contains guides used for the search") - print("\t--pam, used to specify the file that contains the pam") - print("\t--bMax, used to specify the number of bulges for the indexing of the genome(s)") - print("\t--mm, used to specify the number of mismatches permitted in the search phase") - print("\t--bDNA, used to specify the number of DNA bulges permitted in the search phase [OPTIONAL!]") - print("\t--bRNA, used to specify the number of RNA bulges permitted in the search phase [OPTIONAL!]") - print("\t--output, used to specify the output folder for the results") - print("\t--thread, used to set the number of thread used in the process (default is ALL available minus 2)") - exit(0) - - if "--genome" not in input_args: - print("--genome must be contained in the input") - exit(1) - else: - try: - genomedir = os.path.abspath( - input_args[input_args.index("--genome")+1]) - except IndexError: - print("Please input some parameter for flag --genome") - exit(1) - if not os.path.isdir(genomedir): - print("The folder specified for --genome does not exist") - exit(1) - - if "--thread" not in input_args: - # print("--thread must be contained in the input") - # exit(1) - thread = len(os.sched_getaffinity(0))-2 - else: - try: - thread = input_args[input_args.index("--thread")+1] - except IndexError: - print("Please input some parameter for flag --thread") - exit(1) - try: - thread = int(thread) - except: - print("Please input a number for flag bMax") - exit(1) - if thread <= 0 or thread > len(os.sched_getaffinity(0))-2: - print("thread is set to default (ALL available minus 2)") - thread = len(os.sched_getaffinity(0))-2 - # exit(1) - - if "--vcf" not in input_args: - variant = False - else: - try: - vcfdir = os.path.abspath(input_args[input_args.index("--vcf")+1]) - except IndexError: - print("Please input some parameter for flag --vcf") - exit(1) - if not os.path.isdir(vcfdir): - print("The folder specified for --vcf does not exist") - exit(1) - - if "--guide" not in input_args: - print("--guide must be contained in the input") - exit(1) - else: - try: - guidefile = os.path.abspath( - input_args[input_args.index("--guide")+1]) - except IndexError: - print("Please input some parameter for flag --guide") - exit(1) - if not os.path.isfile(guidefile): - print("The folder specified for --guide does not exist") - exit(1) - - if "--pam" not in input_args: - print("--pam must be contained in the input") - exit(1) - else: - try: - pamfile = os.path.abspath(input_args[input_args.index("--pam")+1]) - except IndexError: - print("Please input some parameter for flag --pam") - exit(1) - if not os.path.isfile(pamfile): - print("The folder specified for --pam does not exist") - exit(1) - - if "--bMax" not in input_args: - print("--bMax must be contained in the input") - exit(1) - else: - try: - bMax = input_args[input_args.index("--bMax")+1] - except IndexError: - print("Please input some parameter for flag --bMax") - exit(1) - try: - bMax = int(bMax) - except: - print("Please input a number for flag bMax") - exit(1) - if bMax < 0 or bMax > 2: - print("The range for bMax is from 0 to 2") - exit(1) - - if "--mm" not in input_args: - print("--mm must be contained in the input") - exit(1) - else: - try: - mm = input_args[input_args.index("--mm")+1] - except IndexError: - print("Please input some parameter for flag --mm") - exit(1) - try: - mm = int(mm) - except: - print("Please input a number for flag mm") - exit(1) - - if "--bDNA" not in input_args: - #print("--bDNA must be contained in the input") - #exit(1) - bDNA = 0 - else: - try: - bDNA = input_args[input_args.index("--bDNA")+1] - except IndexError: - print("Please input some parameter for flag --bDNA") - exit(1) - try: - bDNA = int(bDNA) - except: - print("Please input a number for flag bDNA") - exit(1) - if bDNA > bMax: - print("The number of bDNA must be equal or less than bMax") - exit(1) - elif bDNA < 0 or bDNA > 2: - print("The range for bDNA is from 0 to", bMax) - exit(1) - - if "--bRNA" not in input_args: - #print("--bRNA must be contained in the input") - #exit(1) - bRNA = 0 - else: - try: - bRNA = input_args[input_args.index("--bRNA")+1] - except IndexError: - print("Please input some parameter for flag --bRNA") - exit(1) - try: - bRNA = int(bRNA) - except: - print("Please input a number for flag bRNA") - exit(1) - if bRNA > bMax: - print("The number of bRNA must be equal or less than bMax") - exit(1) - elif bRNA < 0 or bRNA > 2: - print("The range for bRNA is from 0 to", bMax) - exit(1) - - if "--output" not in input_args: - print("--output must be contained in the input") - exit(1) - else: - try: - outputfolder = os.path.abspath( - input_args[input_args.index("--output")+1]) - except IndexError: - print("Please input some parameter for flag --output") - exit(1) - if not os.path.isdir(outputfolder): - print("The folder specified for --output does not exist") - exit(1) - - os.chdir(script_path) - if variant: - os.system("./search_only.sh "+genomedir+" "+vcfdir+" "+guidefile+" "+pamfile+" "+str(bMax)+" "+str(mm) + - " "+str(bDNA)+" "+str(bRNA)+" "+outputfolder+" "+script_path+" "+str(thread)) - else: - os.system("./search_only.sh "+genomedir+" _ "+guidefile+" "+pamfile+" "+str(bMax)+" "+str(mm)+" " + - str(bDNA)+" "+str(bRNA)+" "+outputfolder+" "+script_path+" "+str(thread)) - - -def complete_search(): - variant = True - if "--help" in input_args: - print("This is the automated search process that goes from raw input up to the post-analysis of results.") - print("These are the flags that must be used in order to run this function:") - print("\t--genome, used to specify the reference genome folder") - print("\t--vcf, used to specify the VCF folder [OPTIONAL!]") - print("\t--guide, used to specify the file that contains guides used for the search") - print("\t--pam, used to specify the file that contains the pam") - print("\t--annotation, used to specify the file that contains some annotations of the reference genome") - print("\t--samplesID, used to specify the file that contains the information about samples present in VCF files [OPTIONAL!]") - print("\t--bMax, used to specify the number of bulges for the indexing of the genome(s)") - print("\t--mm, used to specify the number of mismatches permitted in the search phase") - print("\t--bDNA, used to specify the number of DNA bulges permitted in the search phase [OPTIONAL!]") - print("\t--bRNA, used to specify the number of RNA bulges permitted in the search phase [OPTIONAL!]") - print("\t--merge, used to specify the threshold used to merge close targets (based on genetic position), use target with highest CFD as pivot [default 0 (ZERO)]") - print("\t--output, used to specify the output folder for the results") - print("\t--thread, used to set the number of thread used in the process (default is ALL available minus 2)") - exit(0) - - if "--genome" not in input_args: - print("--genome must be contained in the input") - exit(1) - else: - try: - genomedir = os.path.abspath( - input_args[input_args.index("--genome")+1]) - except IndexError: - print("Please input some parameter for flag --genome") - exit(1) - if not os.path.isdir(genomedir): - print("The folder specified for --genome does not exist") - exit(1) - - if "--thread" not in input_args: - # print("--thread must be contained in the input") - # exit(1) - thread = len(os.sched_getaffinity(0))-2 - else: - try: - thread = input_args[input_args.index("--thread")+1] - except IndexError: - print("Please input some parameter for flag --thread") - exit(1) - try: - thread = int(thread) - except: - print("Please input a number for flag bMax") - exit(1) - if thread <= 0 or thread > len(os.sched_getaffinity(0))-2: - print("thread is set to default (ALL available minus 2)") - thread = len(os.sched_getaffinity(0))-2 - # exit(1) - - if "--vcf" not in input_args: - variant = False - else: - try: - vcfdir = os.path.abspath(input_args[input_args.index("--vcf")+1]) - except IndexError: - print("Please input some parameter for flag --vcf") - exit(1) - if not os.path.isdir(vcfdir): - print("The folder specified for --vcf does not exist") - exit(1) - - if "--guide" not in input_args: - print("--guide must be contained in the input") - exit(1) - else: - try: - guidefile = os.path.abspath( - input_args[input_args.index("--guide")+1]) - except IndexError: - print("Please input some parameter for flag --guide") - exit(1) - if not os.path.isfile(guidefile): - print("The folder specified for --guide does not exist") - exit(1) - - if "--pam" not in input_args: - print("--pam must be contained in the input") - exit(1) - else: - try: - pamfile = os.path.abspath(input_args[input_args.index("--pam")+1]) - except IndexError: - print("Please input some parameter for flag --pam") - exit(1) - if not os.path.isfile(pamfile): - print("The folder specified for --pam does not exist") - exit(1) - - if "--annotation" not in input_args: - print("--annotation must be contained in the input") - exit(1) - else: - try: - annotationfile = os.path.abspath( - input_args[input_args.index("--annotation")+1]) - except IndexError: - print("Please input some parameter for flag --annotation") - exit(1) - if not os.path.isfile(annotationfile): - print("The folder specified for --annotation does not exist") - exit(1) - - if variant and "--samplesID" not in input_args: - print("--samplesID must be contained in the input") - exit(1) - elif not variant and "--samplesID" in input_args: - print("--samplesID was in the input but no VCF directory was specified") - exit(1) - elif "--samplesID" in input_args: - try: - samplefile = os.path.abspath( - input_args[input_args.index("--samplesID")+1]) - except IndexError: - print("Please input some parameter for flag --samplesID") - exit(1) - if not os.path.isfile(samplefile): - print("The folder specified for --samplesID does not exist") - exit(1) - - if "--bMax" not in input_args: - print("--bMax must be contained in the input") - exit(1) - else: - try: - bMax = input_args[input_args.index("--bMax")+1] - except IndexError: - print("Please input some parameter for flag --bMax") - exit(1) - try: - bMax = int(bMax) - except: - print("Please input a number for flag bMax") - exit(1) - if bMax < 0 or bMax > 2: - print("The range for bMax is from 0 to 2") - exit(1) - - if "--mm" not in input_args: - print("--mm must be contained in the input") - exit(1) - else: - try: - mm = input_args[input_args.index("--mm")+1] - except IndexError: - print("Please input some parameter for flag --mm") - exit(1) - try: - mm = int(mm) - except: - print("Please input a number for flag mm") - exit(1) - - if "--bDNA" not in input_args: - #print("--bDNA must be contained in the input") - #exit(1) - bDNA = 0 - else: - try: - bDNA = input_args[input_args.index("--bDNA")+1] - except IndexError: - print("Please input some parameter for flag --bDNA") - exit(1) - try: - bDNA = int(bDNA) - except: - print("Please input a number for flag bDNA") - exit(1) - if bDNA > bMax: - print("The number of bDNA must be equal or less than bMax") - exit(1) - elif bDNA < 0 or bDNA > 2: - print("The range for bDNA is from 0 to", bMax) - exit(1) - - if "--bRNA" not in input_args: - #print("--bRNA must be contained in the input") - #exit(1) - bRNA = 0 - else: - try: - bRNA = input_args[input_args.index("--bRNA")+1] - except IndexError: - print("Please input some parameter for flag --bRNA") - exit(1) - try: - bRNA = int(bRNA) - except: - print("Please input a number for flag bRNA") - exit(1) - if bRNA > bMax: - print("The number of bRNA must be equal or less than bMax") - exit(1) - elif bRNA < 0 or bRNA > 2: - print("The range for bRNA is from 0 to", bMax) - exit(1) - - if "--merge" not in input_args: - # print("--merge must be contained in the input") - # exit(1) - merge_t = 0 - else: - try: - merge_t = input_args[input_args.index("--merge")+1] - except IndexError: - print("Please input some parameter for flag --merge") - exit(1) - try: - merge_t = int(merge_t) - except: - print("Please input a number for flag merge") - exit(1) - if merge_t < 0: - print("Please specify a positive number for --merge") - exit(1) - - if "--output" not in input_args: - print("--output must be contained in the input") - exit(1) - else: - try: - outputfolder = os.path.abspath( - input_args[input_args.index("--output")+1]) - except IndexError: - print("Please input some parameter for flag --output") - exit(1) - if not os.path.isdir(outputfolder): - print("The folder specified for --output does not exist") - exit(1) - - os.chdir(script_path) - if variant: - os.system("./automated_search_good_parallel_v2.sh "+genomedir+" "+vcfdir+" "+guidefile+" "+pamfile+" "+annotationfile+" "+samplefile+" " + - str(bMax)+" "+str(mm)+" "+str(bDNA)+" "+str(bRNA)+" "+str(merge_t)+" "+outputfolder+" "+script_path+" "+str(thread)) - else: - os.system("./automated_search_good_parallel_v2.sh "+genomedir+" _ "+guidefile+" "+pamfile+" "+annotationfile+" _ "+str(bMax)+" " + - str(mm)+" "+str(bDNA)+" "+str(bRNA)+" "+str(merge_t)+" "+outputfolder+" "+script_path+" "+str(thread)) - - -def target_integration(): - if "--help" in input_args: - print("This is the automated integration process that process the final result file to generate a usable target panel.") - print("These are the flags that must be used in order to run this function:") - print("\t--targets, used to specify the final result file to use in the panel creation process") - print("\t--genome_version, used to specify the genome version used in the search phase (e.g. hg38)") - print( - "\t--guide, used to specify the file that contains guides used for the search") - print("\t--gencode, used to specify the file that contains gencode annotation to find nearest gene to any target") - print("\t--empirical_data, used to specify the file that contains gencode annotation to find nearest gene to any target") - print("\t--output, used to specify the output folder for the results") - exit(0) - - if "--targets" not in input_args: - print("--targets must be contained in the input") - exit(1) - else: - try: - target_file = os.path.abspath( - input_args[input_args.index("--targets")+1]) - except IndexError: - print("Please input some parameter for flag --targets") - exit(1) - if not os.path.isfile(target_file): - print("The file specified for --target_file does not exist") - exit(1) - - if "--genome_version" not in input_args: - print("--genome_version must be contained in the input") - exit(1) - else: - try: - genome_version = input_args[input_args.index( - "--genome_version")+1] - except IndexError: - print("Please input some parameter for flag --genome") - exit(1) - - if "--guide" not in input_args: - print("--guide must be contained in the input") - exit(1) - else: - try: - guidefile = os.path.abspath( - input_args[input_args.index("--guide")+1]) - except IndexError: - print("Please input some parameter for flag --guide") - exit(1) - if not os.path.isfile(guidefile): - print("The file specified for --guide does not exist") - exit(1) - - if "--empirical_data" not in input_args: - print("--empirical_data must be contained in the input") - exit(1) - else: - try: - empiricalfile = os.path.abspath( - input_args[input_args.index("--empirical_data")+1]) - except IndexError: - print("Please input some parameter for flag --empirical_data") - exit(1) - if not os.path.isfile(empiricalfile): - print("The file specified for --empirical_data does not exist") - exit(1) - - if "--gencode" not in input_args: - print("--gencode must be contained in the input") - exit(1) - else: - try: - gencode_file = os.path.abspath( - input_args[input_args.index("--gencode")+1]) - except IndexError: - print("Please input some parameter for flag --gencode") - exit(1) - if not os.path.isfile(gencode_file): - print("The file specified for --gencode does not exist") - exit(1) - - if "--output" not in input_args: - print("--output must be contained in the input") - exit(1) - else: - try: - outputfolder = os.path.abspath( - input_args[input_args.index("--output")+1]) - except IndexError: - print("Please input some parameter for flag --output") - exit(1) - if not os.path.isdir(outputfolder): - print("The folder specified for --output does not exist") - exit(1) - - os.chdir(script_path) - os.system("./post_process.sh "+target_file+" "+gencode_file + - " "+empiricalfile+" "+guidefile+" "+str(genome_version)+" "+outputfolder+" "+script_path) - -# HELP FUNCTION - - -def callHelp(): - print("help:\n", - "\nALL FASTA FILEs USED BY THE SOFTWARE MUST BE UNZIPPED AND CHROMOSOME SEPARATED, ALL VCFs USED BY THE SOFTWARE MUST BE ZIPPED AND CHROMOSOME SEPARATED", - "\ncrisprime complete-search FUNCTION SEARCHING THE WHOLE GENOME (REFERENCE AND VARIANT IF REQUESTED) AND PERFORM CFD ANALYSIS AND TARGET SELECTION", - "\ncrisprime search-only FUNCTION SEARCHING THE WHOLE GENOME (REFERENCE AND VARIANT IF REQUESTED) PRODUCING RESULTS FOR POST-ANALYSIS", - "\ncrisprime post-analysis-only FUNCTION THAT PERFORMS CFD ANALYSIS AND TARGET SELECTION STARTING FROM SEARCH RESULTS", - "\ncrisprime targets-integration FUNCTION THAT INTEGRATES IN-SILICO TARGETS WITH EMPIRICAL DATA GENERATING A USABLE PANEL", - "\n\nADD help TO ANY FUNCTION TO VISUALIZE A BRIEF HELP PAGE (example: crisprime complete-search --help)\n") - - -if len(sys.argv) < 2: - callHelp() -elif sys.argv[1] == 'complete-search': - complete_search() -elif sys.argv[1] == 'search-only': - search_only() -elif sys.argv[1] == 'post-analysis-only': - post_analysis_only() -elif sys.argv[1] == 'targets-integration': - target_integration() -else: - print("ERROR! \"" + sys.argv[1] + "\" is not an allowed!") diff --git a/auto_search_corrected/extraction.sh b/auto_search_corrected/extraction.sh deleted file mode 100644 index 7a4e148..0000000 --- a/auto_search_corrected/extraction.sh +++ /dev/null @@ -1,47 +0,0 @@ -#!/bin/bash - - - -#PARAM $1 is ref targets file -#PARAM $2 is var targets file -#PARAM $3 is job_id - -#EXTRACT DIRECTORY FROM REF FILE -dir=$(dirname $1) - -#common targets extraction -LC_ALL=C sort -u -T $dir $1 > $1.sort.txt -LC_ALL=C sort -u -T $dir $2 > $2.sort.txt -LC_ALL=C comm -12 $1.sort.txt $2.sort.txt > $3.common_targets.txt - -#Semi common targets extraction -LC_ALL=C awk '{print $4"\t"$5"\t"$6}' $1.sort.txt > $3.ref.chr_pos.txt -LC_ALL=C fgrep -f $3.ref.chr_pos.txt $2.sort.txt > $3.semi_common_targets.txt #Seleziono i targets di var che hanno la stessa chr pos in ref - -#Aggiungo i target del ref: ora semicommon contiene: target con iupac e targets senza iupac corrispondenti; -# target senza iupac del var e corrispondenti target senza iupac del ref -LC_ALL=C fgrep -f $3.ref.chr_pos.txt $1.sort.txt >> $3.semi_common_targets.txt - -LC_ALL=C sort -u -T $dir $3.semi_common_targets.txt > $3.semi_common_targets.sort.txt - -#unique variant targets extraction -LC_ALL=C comm -13 $3.semi_common_targets.sort.txt $2.sort.txt > $3.unique_targets.txt - -mv $3.semi_common_targets.sort.txt $3.semi_common_targets.txt -#Remove tmp files, NOTE maybe keep first two and change name to $1 and $2 ? -rm $1.sort.txt $2.sort.txt $3.ref.chr_pos.txt - -# # OLD semi common targets extraction -# LC_ALL=C awk '{print $4"\t"$5}' $1 > ref.chr_pos.txt -# LC_ALL=C sort -T $dir -u ref.chr_pos.txt > ref.chr_pos.sort.txt -# LC_ALL=C fgrep -f ref.chr_pos.sort.txt $2 > $3.semi_common_targets.txt -# LC_ALL=C awk '{print $4"\t"$5}' $3.semi_common_targets.txt > semi_common.chr_pos.txt -# LC_ALL=C sort -T $dir -u semi_common.chr_pos.txt > semi_common.chr_pos.sort.txt -# LC_ALL=C fgrep -f semi_common.chr_pos.sort.txt $1 >> $3.semi_common_targets.txt -# LC_ALL=C sort -T $dir -u $3.semi_common_targets.txt > semi_common_targets.sort.txt - -# # OLD unique variant targets extraction -# #LC_ALL=C sort $2 > $2.sort.txt -# LC_ALL=C comm -13 semi_common_targets.sort.txt $2.sort.txt > $3.unique_targets.txt - -# rm ref.chr_pos.txt ref.chr_pos.sort.txt semi_common_targets.sort.txt $2.sort.txt semi_common.chr_pos.txt semi_common.chr_pos.sort.txt $1.sort.txt diff --git a/auto_search_corrected/indel_extraction.py b/auto_search_corrected/indel_extraction.py deleted file mode 100644 index 303b79c..0000000 --- a/auto_search_corrected/indel_extraction.py +++ /dev/null @@ -1,42 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -""" -Created on Thu Jun 25 21:38:03 2020 - -@author: francesco -""" - -# 30 min per vcf di chr1 -> 6gb -import gzip -import sys -import json -import time -import os - -# argv1 is ALLchrx.gzip --> Create the json file containing chr, pos, ref, alt, list of samples (HG001,HG002...) -# argv2 is chr number (eg 1) -vcf = sys.argv[1] -out = sys.argv[2] -start_time = time.time() -with open(out+".vcf.indels_only", 'w') as out: - with gzip.open(vcf, 'rt', encoding='utf-8') as targets: #gzip. 'rt', encoding='utf-8' - #Skip vcf header - for line in targets: - #line = line.decode('ascii') - if ('#CHROM') in line: - column_vcf = line.strip().split('\t') #Save this header for retrieving sample id - break - out.write('\t'.join(column_vcf)+'\n') - for i, line in enumerate(targets): #Save CHROM [0], POS[1], RSID[2], REF [3], ALT [4], AF[7], List of Samples [9:] - line = line.strip().split('\t') #.decode('ascii') - - if len(line[3]) != len(line[4]) and '<' not in line[3] and '<' not in line[4]: - if ',' in line[4]: - continue - #splitted = line[4].split(',') - #filtered_splitted = [item for item in splitted if len(item) != len(line[3])] - #line[4] = ','.join(filtered_splitted) - - out.write('\t'.join(line)+'\n') - -print('Filtered VCF in ', time.time() - start_time) diff --git a/auto_search_corrected/indel_process.py b/auto_search_corrected/indel_process.py deleted file mode 100644 index 95c16e3..0000000 --- a/auto_search_corrected/indel_process.py +++ /dev/null @@ -1,23 +0,0 @@ -#!/usr/bin/env python - -import sys -import os - -vcf_folder = sys.argv[1] -files = os.listdir(vcf_folder) -vcf_name = sys.argv[2] -output_folder = sys.argv[3] -ref_folder = sys.argv[4] -pam_file = sys.argv[5] -guide_file = sys.argv[6] -bMax = sys.argv[7] -mm = sys.argv[8] -bDNA = sys.argv[9] -bRNA = sys.argv[10] - -for f in files: - if 'vcf' in f: - print("Getting indels for file", f) - number = f.split(".")[1] - os.system("./indels_process.sh "+vcf_folder+"/"+f+" "+number+" "+output_folder+" "+vcf_name+" "+ref_folder+" "+pam_file+" "+guide_file+" "+bMax+" "+mm+" "+bDNA+" "+bRNA) - diff --git a/auto_search_corrected/indel_to_matrix.py b/auto_search_corrected/indel_to_matrix.py deleted file mode 100644 index 7b20642..0000000 --- a/auto_search_corrected/indel_to_matrix.py +++ /dev/null @@ -1,120 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -""" -Created on Fri Jun 26 01:04:50 2020 - -@author: francesco -""" - -import gzip -import sys -import json -import time -import os -import pandas as pd -import numpy as np -#from biclustlib.algorithms import BitPatternBiclusteringAlgorithm -from itertools import combinations - -# argv1 is ALLchrx.gzip --> Create the json file containing chr, pos, ref, alt, list of samples (HG001,HG002...) -# argv2 is chr number (eg 1) - - -#vcf = "/home/whitebreeze/Tirocinio_Giugno/correct_vcf/CHR15/ALL.chr15.phase3_shapeit2_mvncall_integrated_v5a.20130502.genotypes.vcf.indels_only_v3_matrix"#sys.argv[1] -vcf = sys.argv[1] #"/home/whitebreeze/Tirocinio_Giugno/correct_vcf/CHR5/matrix.tsv" - -#chr_dict = dict() -start_time = time.time() -#out = open(vcf+".indels_only", 'w') - -df = pd.read_csv(vcf, sep='\t', dtype=np.bool) -#df3 = df.T -#df3.to_csv('/home/whitebreeze/Tirocinio_Giugno/correct_vcf/t_matrix_c.csv', index=False) -#print(df3.groupby(df3.columns, axis=1).first()) -#clus = BitPatternBiclusteringAlgorithm(min_rows=2, min_cols=2) -#results = clus.run(df) -print(df.shape) -indexes = [i for i in range(df.shape[1])] -row_sum = np.sum(df.values, axis=0) -max_index = np.argmax(row_sum) -print(max_index) -max_sum = max(row_sum) -indexes.remove(max_index) -cluster = df.iloc[:,max_index]#np.zeros([df.shape[0], 1]) -group = [max_index] - -with open("log_indels.txt", "w") as log_file: - log_file.write("Starting with "+str(max_sum)+" and sample "+str(df.columns[max_index])+"("+str(max_index)+").\n") - - it = 1 - while True: - #print(it, len(indexes), max_sum) - if len(indexes) == 0: - break - tmp_cluster = None - tmp_index = -1 - max_sum = -1 - for confronto in indexes: - and_confronto = cluster & df.iloc[:,confronto] - sum_confronto = sum(and_confronto) - if sum_confronto > max_sum: - max_sum = sum_confronto - tmp_cluster = and_confronto - tmp_index = confronto - - indexes.remove(tmp_index) - cluster = tmp_cluster - group.append(tmp_index) - log_file.write("It: "+str(it)+". New cluster has "+str(max_sum)+" indels in it. We added sample "+str(df.columns[tmp_index])+"("+str(tmp_index)+").\n") - it += 1 - if max_sum == 0: - print("Breaking early, 0 indels overlapping!") - log_file.write("Breaking early, 0 indels overlapping!") - break - -print("Done in "+str(time.time()-start_time)) -with open('trace.txt', 'w') as trace: - trace.write(','.join(group)) - -""" -mock = pd.DataFrame(np.ones([20,20]), dtype=np.bool) -mock.iloc[0,2] = 0 -mock.iloc[1,6] = 0 -mock.iloc[0,3] = 0 -indexes_m = [i for i in range(mock.shape[1])] -dict_samples_m = {} -it = 1 -while True: - print(it, len(indexes_m)) - if len(indexes_m) == 0: - break - perno = indexes_m[0] - cluster = [perno] - if len(indexes_m) > 1: - for confronto in indexes_m[1:]: - if (mock.iloc[:,perno] == mock.iloc[:,confronto]).all(): - cluster.append(confronto) - for ele in cluster: - indexes_m.remove(ele) - dict_samples_m[perno] = cluster - it += 1 -""" -""" -dict_indels = {} -indexes = [i for i in range(df.shape[0])] -it = 1 -while True: - print(it, len(indexes)) - if len(indexes) == 0: - break - perno = indexes[0] - cluster = [perno] - if len(indexes) > 1: - for confronto in indexes[1:]: - if (df.iloc[perno,:] == df.iloc[confronto,:]).all(): - cluster.append(confronto) - for ele in cluster: - indexes.remove(ele) - dict_indels[perno] = cluster - it += 1 -""" diff --git a/auto_search_corrected/indels_process.sh b/auto_search_corrected/indels_process.sh deleted file mode 100644 index 8aae8f1..0000000 --- a/auto_search_corrected/indels_process.sh +++ /dev/null @@ -1,92 +0,0 @@ -#!/bin/bash - -vcf=$1 -chr=$2 -output_folder=$3 -vcf_name=$4 -ref_folder=$5 -pam_file=$6 -pam_name=$(basename $6) -guide_file=$7 -bMax=$8 -mm=$9 -bDNA=${10} -bRNA=${11} -use_thread=${12} -starting_folder=$(pwd) -guide_name=$(basename "$guide_file") - -fullseqpam=$(cut -f1 -d' ' "$pam_file") -pos=$(cut -f2 -d' ' "$pam_file") -if [ $pos -gt 0 ]; then - true_pam=${fullseqpam:${#fullseqpam}-$pos} -else - true_pam=${fullseqpam:0:-$pos} -fi - -./indel_extraction.py "$vcf" "$output_folder/$chr" #it outputs a $chr.vcf.indels_only file - -#gzip $1'/'$vcf -cd "$output_folder" -echo 'Post processing the extracted vcf indels' -cat $chr.vcf.indels_only | sed 's/1|0/1/g' | sed 's/0|1/1/g' | sed 's/1|1/1/g' | sed 's/0|0/0/g' > $chr.vcf.processed -cut -f1,2,4,5 $chr.vcf.processed > $chr.indels_only_rownames # | sed 's/\t/,/g' -cut -f1,2,3,4,5,6,7,8,9 --complement $chr.vcf.processed > $chr.indels_only_matrix -rm $chr.vcf.processed - -cd "$starting_folder" -./position_for_indels.py "$output_folder/$chr.indels_only_rownames" "$output_folder/$chr" #it ouputs a $chr.pos_indels - -cd "$output_folder" -echo 'Retrieving a single fasta for all indels' -bedtools getfasta -fi "$ref_folder/$chr.fa" -bed $chr.pos_indels -fo $chr.fa.indels - -awk ' NR % 2 == 0 { print; } NR % 2 == 1 {print $1"_"++c}' $chr.fa.indels | tr ':' '_' > $chr.fa.indels.ok -rm $chr.fa.indels - -if [ ! -d "fake$chr" ]; then - mkdir "fake$chr" -fi -#cd "$(dirname "$0")/$1" -echo 'Split the common fasta into single ones' -#semi=$1 -#echo $semi -cd "fake$chr" -awk '/^>/ {close(F) ; F = substr($1,2)".fa"} {print >> F}' "../$chr.fa.indels.ok" -rm "../$chr.fa.indels.ok" - -#cd "$(dirname "$0")/.." -cd "$starting_folder" -./replace_indels.py "$output_folder/$chr.pos_indels" "$output_folder/$chr.indels_only_matrix" "$output_folder/$chr.indels_only_rownames" "$output_folder/fake$chr" $chr -rm "$output_folder/$chr.pos_indels" -rm "$output_folder/$chr.indels_only_rownames" -rm "$output_folder/$chr.indels_only_matrix" - -cd "$output_folder" -if ! [ -d "../log_indels_$vcf_name" ]; then - mkdir "../log_indels_$vcf_name" -fi -mv "fake$chr/log$chr.txt" "../log_indels_$vcf_name/" - -cd "$starting_folder" -./integrate_logs.py "$output_folder/$chr.vcf.indels_only" "$output_folder/../log_indels_$vcf_name/log$chr.txt" -rm "$output_folder/$chr.vcf.indels_only" - -cd "$output_folder/../log_indels_$vcf_name" -cat "log$chr.txt" | tr -d '>' > "log$chr.txt.tmp" -mv "log$chr.txt.tmp" "log$chr.txt" - -cd .. -if ! [ -d "genome_library/"$true_pam"_${bMax}_fake$chr" ]; then - echo "Indexing genome fake$chr" - crispritz.py index-genome "fake$chr" "$output_folder/fake$chr/" "$pam_file" -bMax $bMax -th 1 >/dev/null -else - echo "Index already present for fake$chr" -fi - -if ! [ -f "fake${chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" ]; then - echo "Searching fake$chr" - crispritz.py search "genome_library/${true_pam}_${bMax}_fake$chr/" "$pam_file" "$guide_file" "fake${chr}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}" -index -mm $mm -bDNA $bDNA -bRNA $bRNA -t -th 1 >/dev/null -else - echo "Search for fake$chr already done" -fi diff --git a/auto_search_corrected/integrate_logs.py b/auto_search_corrected/integrate_logs.py deleted file mode 100644 index 5fc4bbb..0000000 --- a/auto_search_corrected/integrate_logs.py +++ /dev/null @@ -1,50 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -""" -Created on Thu Jul 23 11:39:09 2020 - -@author: francesco -""" -import os -import sys -import pandas as pd - -#log = pd.read_csv(sys.argv[2], sep='\t') -#log["rsID"] = ['n'] * log.shape[0] -#log["AF"] = [0] * log.shape[0] -#log["indel"] = ['n'] * log.shape[0] - -with open(sys.argv[1], 'r') as targets: - with open(sys.argv[2], 'r') as log: - with open(sys.argv[2]+".tmp", 'w') as logout: - column_vcf = targets.readline() - header = log.readline().strip() - logout.write(header+"\trsID\tAF\tindel\n") - first_line = True - for i, line in enumerate(targets): #Save CHROM [0], POS[1], RSID[2], REF [3], ALT [4], AF[7], List of Samples [9:] - #print(i) - line = line.strip().split('\t') - if first_line: - first_line = False - splitted = line[7].split(";") - for pos, ele in enumerate(splitted): - if ele[0:2] == "AF": - pos_AF = pos - #print(pos_AF) - break - if "chr" not in line[0]: - line[0] = "chr"+line[0] - chr_pos_string = line[0] + '_' + line[1] + '_' + line[3] + '_' +line[4] - - rsID = line[2] - af = line[7].split(";")[pos_AF][3:] #retrieve AF=number --> number - - line_log = log.readline().strip() - logout.write(line_log+'\t'+rsID+'\t'+af+'\t'+chr_pos_string+'\n') - #log["AF"][i] = af - #log["rsID"][i] = rsID - #log["indel"][i] = chr_pos_string - -os.system('mv '+sys.argv[2]+".tmp "+sys.argv[2]) -#log.to_csv(sys.argv[2], sep='\t', index=False) - diff --git a/auto_search_corrected/merge_alt_chr.sh b/auto_search_corrected/merge_alt_chr.sh deleted file mode 100644 index 62bcc4f..0000000 --- a/auto_search_corrected/merge_alt_chr.sh +++ /dev/null @@ -1,34 +0,0 @@ -#!/bin/bash - - -fileIn=$1 -fileOut=$2 - -#EXTRACT DIRECTORY FROM REF FILE -dir=$(dirname $1) - -STARTTIME=$(date +%s) - -chroms=($(cut -f 5 $fileIn | tail -n +2 | LC_ALL=C grep -v "_" | LC_ALL=C sort -T $dir | uniq)) - -head -1 $fileIn > $fileOut - -for chrom in ${chroms[@]} -do - -echo $chrom -#awk -v "key=$chrom" '$5 == key {print($0)}' $fileIn > $fileIn.$chrom.ref -fgrep -w "$chrom" $fileIn > $fileIn.$chrom.ref -cut -f 3 $fileIn.$chrom.ref | LC_ALL=C sort -T $dir | uniq > $fileIn.$chrom.ref.targets -LC_ALL=C fgrep "${chrom}_" $fileIn > $fileIn.$chrom.alt # | awk '$5 ~ "_" {print($0)}' -LC_ALL=C grep -v -F -f $fileIn.$chrom.ref.targets $fileIn.$chrom.alt > $fileIn.$chrom.merged -rm $fileIn.$chrom.ref.targets -rm $fileIn.$chrom.alt -cat $fileIn.$chrom.ref $fileIn.$chrom.merged >> $fileOut -rm $fileIn.$chrom.merged -rm $fileIn.$chrom.ref - -done - -ENDTIME=$(date +%s) -echo "Merging done in $(($ENDTIME - $STARTTIME)) seconds" \ No newline at end of file diff --git a/auto_search_corrected/merge_close_targets.zip b/auto_search_corrected/merge_close_targets.zip deleted file mode 100644 index e74dcb0..0000000 Binary files a/auto_search_corrected/merge_close_targets.zip and /dev/null differ diff --git a/auto_search_corrected/merge_close_targets_cfd.sh b/auto_search_corrected/merge_close_targets_cfd.sh deleted file mode 100644 index 58b1650..0000000 --- a/auto_search_corrected/merge_close_targets_cfd.sh +++ /dev/null @@ -1,30 +0,0 @@ -#!/bin/bash - - -fileIn=$1 -fileOut=$2 -thresh=$3 #threshold to use in order to merge near targets - -#EXTRACT DIRECTORY FROM REF FILE -dir=$(dirname $1) - -##########ADJUST THESE PARAMETERS BASED ON INPUT FILE########## -#columns start from 1 -chrom=5 #column for chromosome -position=7 #column for cluster_position -total=11 -true_guide=16 -snp_info=19 -cfd=21 - -echo "Sorting file" -header=$(head -1 $fileIn) -STARTTIME=$(date +%s) -tail -n +2 $fileIn | LC_ALL=C sort -T $dir -k$true_guide,$true_guide -k$chrom,$chrom -k$position,${position}n -o $fileIn.sorted.tmp -ENDTIME=$(date +%s) -echo "Sorting done in $(($ENDTIME - $STARTTIME)) seconds" -echo -e $header | cat - $fileIn.sorted.tmp > $fileIn.sorted -rm $fileIn.sorted.tmp -echo "Merging targets" -python3 remove_contiguous_samples_cfd.py $fileIn.sorted $fileOut $thresh $chrom $position $total $true_guide $snp_info $cfd -rm $fileIn.sorted diff --git a/auto_search_corrected/mismatch_score.pkl b/auto_search_corrected/mismatch_score.pkl deleted file mode 100644 index a4559d8..0000000 --- a/auto_search_corrected/mismatch_score.pkl +++ /dev/null @@ -1,1178 +0,0 @@ -(dp0 -S'rU:dT,12' -p1 -F0.8 -sS'rU:dT,13' -p2 -F0.692307692 -sS'rU:dC,5' -p3 -F0.64 -sS'rG:dA,14' -p4 -F0.26666666699999997 -sS'rG:dG,19' -p5 -F0.448275862 -sS'rG:dG,18' -p6 -F0.47619047600000003 -sS'rG:dG,15' -p7 -F0.272727273 -sS'rG:dG,14' -p8 -F0.428571429 -sS'rG:dG,17' -p9 -F0.235294118 -sS'rG:dG,16' -p10 -F0.0 -sS'rC:dC,20' -p11 -F0.058823529000000006 -sS'rG:dT,20' -p12 -F0.9375 -sS'rG:dG,13' -p13 -F0.42105263200000004 -sS'rG:dG,12' -p14 -F0.529411765 -sS'rU:dC,6' -p15 -F0.571428571 -sS'rU:dG,14' -p16 -F0.28571428600000004 -sS'rU:dT,18' -p17 -F0.666666667 -sS'rA:dG,13' -p18 -F0.21052631600000002 -sS'rA:dG,12' -p19 -F0.263157895 -sS'rA:dG,11' -p20 -F0.4 -sS'rA:dG,10' -p21 -F0.333333333 -sS'rA:dA,19' -p22 -F0.538461538 -sS'rA:dA,18' -p23 -F0.5 -sS'rA:dG,15' -p24 -F0.272727273 -sS'rA:dG,14' -p25 -F0.214285714 -sS'rA:dA,15' -p26 -F0.2 -sS'rA:dA,14' -p27 -F0.533333333 -sS'rA:dA,17' -p28 -F0.133333333 -sS'rA:dA,16' -p29 -F0.0 -sS'rA:dA,11' -p30 -F0.307692308 -sS'rA:dA,10' -p31 -F0.882352941 -sS'rA:dA,13' -p32 -F0.3 -sS'rA:dA,12' -p33 -F0.333333333 -sS'rG:dA,13' -p34 -F0.3 -sS'rG:dA,12' -p35 -F0.384615385 -sS'rG:dA,11' -p36 -F0.384615385 -sS'rG:dA,10' -p37 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-F0.125 -sS'rG:d-,13' -p385 -F0.046875 -sS'rG:d-,14' -p386 -F0.0634920634921 -sS'rG:d-,15' -p387 -F0 -sS'rG:d-,16' -p388 -F0 -sS'rG:d-,17' -p389 -F0 -sS'rG:d-,18' -p390 -F0 -sS'rG:d-,19' -p391 -F0.0634920634921 -sS'rG:d-,20' -p392 -F0.09375 -s. \ No newline at end of file diff --git a/auto_search_corrected/pool_indels.py b/auto_search_corrected/pool_indels.py deleted file mode 100644 index 0d8da92..0000000 --- a/auto_search_corrected/pool_indels.py +++ /dev/null @@ -1,63 +0,0 @@ -#!/usr/bin/env python - -import os -import sys -from multiprocessing import Pool -from datetime import datetime - -ref_folder = sys.argv[1] -ref_name = os.path.basename(sys.argv[1]) -vcf_dir = sys.argv[2] -vcf_name = sys.argv[3] -guide_file = sys.argv[4] -guide_name = os.path.basename(sys.argv[4]) -pam_file = sys.argv[5] -pam_name = os.path.basename(sys.argv[5]) -bMax = sys.argv[6] -mm = sys.argv[7] -bDNA = sys.argv[8] -bRNA = sys.argv[9] -output_folder = sys.argv[10] -log = sys.argv[11] -cpus = int(sys.argv[12]) - -global use_thread -use_thread = 0 - -def start_indels(f): - global use_thread - splitted = f.split('.') - chrom = splitted[1] - if use_thread == t-1: - use_thread = 0 - os.system(f"./indels_process.sh \"{vcf_dir}/{f}\" \"{chrom}\" \"{output_folder}\" \"{vcf_name}\" \"{ref_folder}\" \"{pam_file}\" \"{guide_file}\" {bMax} {mm} {bDNA} {bRNA} {use_thread}") - use_thread =+ 1 - -chrs = [] -for f in os.listdir(vcf_dir): - if 'vcf.gz' in f: - chrs.append(f) - -#cpus = len(os.sched_getaffinity(0)) -if cpus - 2 < 10: - if cpus - 2 < 0: - t = 1 - else: - t = cpus - 2 -else: - t = 10 - -with Pool(processes = t) as pool: - pool.map(start_indels, chrs) - - -for key in chrs: - chrom = key.split('.')[1] - os.system(f"tail -n +2 {output_folder}/../fake{chrom}_{pam_name}_{guide_name}_{mm}_{bDNA}_{bRNA}.targets.txt >> {output_folder}/../crispritz_targets/indels_{ref_name}+{vcf_name}_{pam_name}_{guide_name}_{mm}_{bDNA}_{bRNA}.targets.txt") - header = os.popen(f"head -1 {output_folder}/../fake{chrom}_{pam_name}_{guide_name}_{mm}_{bDNA}_{bRNA}.targets.txt").read() - os.system(f"rm {output_folder}/../fake{chrom}_{pam_name}_{guide_name}_{mm}_{bDNA}_{bRNA}.targets.txt") - -os.system(f"sed -i 1i\"{header}\" {output_folder}/../crispritz_targets/indels_{ref_name}+{vcf_name}_{pam_name}_{guide_name}_{mm}_{bDNA}_{bRNA}.targets.txt") - - -os.system('echo "INDELs End: '+datetime.now().strftime('%Y-%m-%d %H:%M:%S')+'" >> '+output_folder+'/../'+log) \ No newline at end of file diff --git a/auto_search_corrected/pool_post_analisi_indel.py b/auto_search_corrected/pool_post_analisi_indel.py deleted file mode 100644 index 54ee38f..0000000 --- a/auto_search_corrected/pool_post_analisi_indel.py +++ /dev/null @@ -1,40 +0,0 @@ -#!/usr/bin/env python - -import os -import sys -from multiprocessing import Pool - -output_folder=sys.argv[1] -ref_folder=sys.argv[2] -vcf_folder=sys.argv[3] -guide_file=sys.argv[4] -mm=sys.argv[5] -bDNA=sys.argv[6] -bRNA=sys.argv[7] -annotation_file=sys.argv[8] -pam_file=sys.argv[9] -sampleID=sys.argv[10] -dict_folder=sys.argv[11] -final_res=sys.argv[12] -final_res_alt=sys.argv[13] -ncpus=int(sys.argv[14]) - - - -def start_analysis(f): - splitted = f.split('.') - chrom = splitted[1] - os.system(f"./post_analisi_indel.sh \"{output_folder}\" \"{ref_folder}\" \"{vcf_folder}\" \"{guide_file}\" \"{mm}\" \"{bDNA}\" \"{bRNA}\" {annotation_file} {pam_file} {sampleID} {dict_folder} {final_res} {final_res_alt} {chrom}") - - -chrs = [] -for f in os.listdir(vcf_folder): - if 'vcf.gz' in f: - chrs.append(f) - -t = 6 -if ncpus < 6: - t = ncpus -with Pool(processes = t) as pool: - pool.map(start_analysis, chrs) - diff --git a/auto_search_corrected/pool_post_analisi_snp.py b/auto_search_corrected/pool_post_analisi_snp.py deleted file mode 100644 index aba1806..0000000 --- a/auto_search_corrected/pool_post_analisi_snp.py +++ /dev/null @@ -1,39 +0,0 @@ -#!/usr/bin/env python - -import os -import sys -from multiprocessing import Pool - -output_folder=sys.argv[1] -ref_folder=sys.argv[2] -vcf_name=sys.argv[3] -guide_file=sys.argv[4] -mm=sys.argv[5] -bDNA=sys.argv[6] -bRNA=sys.argv[7] -annotation_file=sys.argv[8] -pam_file=sys.argv[9] -sampleID=sys.argv[10] -dict_folder=sys.argv[11] -final_res=sys.argv[12] -final_res_alt=sys.argv[13] -ncpus=int(sys.argv[14]) - - - -def start_analysis(f): - splitted = f.split('.') - chrom = splitted[0] - os.system(f"./post_analisi_snp.sh \"{output_folder}\" \"{ref_folder}\" \"{vcf_name}\" \"{guide_file}\" \"{mm}\" \"{bDNA}\" \"{bRNA}\" {annotation_file} {pam_file} {sampleID} {dict_folder} {final_res} {final_res_alt} {chrom}") - - -chrs = [] -for f in os.listdir(ref_folder): - if '.fa' in f and '.fai' not in f: - chrs.append(f) - -t = 6 -if ncpus < 6: - t = ncpus -with Pool(processes = t) as pool: - pool.map(start_analysis, chrs) \ No newline at end of file diff --git a/auto_search_corrected/pool_search_indels.py b/auto_search_corrected/pool_search_indels.py deleted file mode 100644 index 13788e6..0000000 --- a/auto_search_corrected/pool_search_indels.py +++ /dev/null @@ -1,60 +0,0 @@ -#!/usr/bin/env python - -import os -import sys -from multiprocessing import Pool -from datetime import datetime - -ref_folder = sys.argv[1] -ref_name = os.path.basename(sys.argv[1]) -vcf_dir = sys.argv[2] -vcf_name = sys.argv[3] -guide_file = sys.argv[4] -guide_name = os.path.basename(sys.argv[4]) -pam_file = sys.argv[5] -pam_name = os.path.basename(sys.argv[5]) -bMax = sys.argv[6] -mm = sys.argv[7] -bDNA = sys.argv[8] -bRNA = sys.argv[9] -output_folder = sys.argv[10] -true_pam = sys.argv[11] -cpus=int(sys.argv[12]) - -def search_indels(f): - global use_thread - splitted = f.split('.') - chrom = splitted[1] - print("Searching for INDELs in", chrom) - os.system(f"crispritz.py search genome_library/{true_pam}_{bMax}_fake{chrom}/ {pam_file} {guide_file} fake{chrom}_{pam_name}_{guide_name}_{mm}_{bDNA}_{bRNA} -index -mm {mm} -bDNA {bDNA} -bRNA {bRNA} -t -th 1 >/dev/null") - print("Search ended for INDELs in", chrom) - -chrs = [] -for f in os.listdir(vcf_dir): - if 'vcf.gz' in f: - chrs.append(f) - -#cpus = len(os.sched_getaffinity(0)) -if cpus - 1 < 10: - if cpus - 1 < 0: - t = 1 - else: - t = cpus - 1 -else: - t = 10 - -os.chdir(output_folder) -with Pool(processes = t) as pool: - pool.map(search_indels, chrs) - - -for key in chrs: - chrom = key.split('.')[1] - os.system(f"tail -n +2 {output_folder}/fake{chrom}_{pam_name}_{guide_name}_{mm}_{bDNA}_{bRNA}.targets.txt >> {output_folder}/indels_{ref_name}+{vcf_name}_{pam_name}_{guide_name}_{mm}_{bDNA}_{bRNA}.targets.txt") - header = os.popen(f"head -1 {output_folder}/fake{chrom}_{pam_name}_{guide_name}_{mm}_{bDNA}_{bRNA}.targets.txt").read() - os.system(f"rm {output_folder}/fake{chrom}_{pam_name}_{guide_name}_{mm}_{bDNA}_{bRNA}.targets.txt") - -os.system(f"sed -i 1i\"{header}\" {output_folder}/indels_{ref_name}+{vcf_name}_{pam_name}_{guide_name}_{mm}_{bDNA}_{bRNA}.targets.txt") - - -#os.system('echo "Search INDELs End: '+datetime.now().strftime('%Y-%m-%d %H:%M:%S')+'" >> '+output_folder+'/../log.txt') \ No newline at end of file diff --git a/auto_search_corrected/position_for_indels.py b/auto_search_corrected/position_for_indels.py deleted file mode 100644 index dc94a8d..0000000 --- a/auto_search_corrected/position_for_indels.py +++ /dev/null @@ -1,35 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -""" -Created on Fri Jul 3 17:31:45 2020 - -@author: francesco -""" -import pandas as pd -import numpy as np -import time -import sys - -print("Constructing file for indel extraction from reference fasta file") - -start_time = time.time() -indels_file = sys.argv[1] -out = sys.argv[2] - -df = pd.read_csv(indels_file, sep='\t') -#df_out = pd.DataFrame(np.zeros([df.shape[0], 3]), columns=["CHR", "START", "END"], dtype=np.int) - -with open(out+".pos_indels", 'w') as out_file: - - chro = str(df.iloc[0,0]) - for line in range(df.shape[0]): - true_start_pos, ref = df.iloc[line,1:3] - start_pos = true_start_pos - 26 - len_ref = len(ref) - end_pos = true_start_pos + len_ref + 25 - #df_out.iloc[line,:] = ["chr"+chro, start_pos, end_pos] - out_file.write("chr"+chro+"\t"+str(start_pos)+"\t"+str(end_pos)+"\n") - -#df_out.to_csv(out+".pos_indels", sep='\t', index=False, header=None) - -print("Done in "+str(time.time()-start_time)) diff --git a/auto_search_corrected/post_analisi_indel.sh b/auto_search_corrected/post_analisi_indel.sh deleted file mode 100644 index 663fe7d..0000000 --- a/auto_search_corrected/post_analisi_indel.sh +++ /dev/null @@ -1,40 +0,0 @@ -#!/bin/bash - -output_folder=$1 -ref_folder=$2 -ref_name=$(basename $2) -vcf_folder=$3 -vcf_name=$(basename $3) -guide_file=$4 -guide_name=$(basename $4) -mm=$5 -bDNA=$6 -bRNA=$7 -annotation_file=$8 -annotation_name=$(basename $8) -pam_file=$9 -pam_name=$(basename $9) -sampleID=${10} -dict_folder=${11} - -final_res=${12} -final_res_alt=${13} - -key=${14} - -echo "Processing INDELs results for $key, starting post-analysis" -true_chr=$key -fake_chr="fake$true_chr" - -LC_ALL=C grep -P "$key\t" "$output_folder/crispritz_targets/${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" > "$output_folder/crispritz_targets/${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$true_chr" -LC_ALL=C grep "${key}_" "$output_folder/crispritz_targets/indels_${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" > "$output_folder/crispritz_targets/indels_${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$true_chr" -header=$(head -1 $output_folder/crispritz_targets/indels_${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt) -sed -i 1i"$header" "$output_folder/crispritz_targets/indels_${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$true_chr" - -./analisi_indels_NNN.sh "$output_folder/crispritz_targets/${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$true_chr" "$output_folder/crispritz_targets/indels_${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$true_chr" "${fake_chr}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}" "$annotation_file" "$output_folder/log_indels_$vcf_name" "$ref_folder/$true_chr.fa" $mm $bDNA $bRNA "$guide_file" "$pam_file" "$sampleID" "$output_folder" -rm "$output_folder/crispritz_targets/${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$true_chr" -rm "$output_folder/crispritz_targets/indels_${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$true_chr" -# tail -n +2 "$output_folder/${fake_chr}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.bestMerge.txt" >> "$final_res" #"$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" -# tail -n +2 "$output_folder/${fake_chr}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.altMerge.txt" >> "$final_res_alt" #"$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" -# rm "$output_folder/${fake_chr}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.bestMerge.txt" -# rm "$output_folder/${fake_chr}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.altMerge.txt" \ No newline at end of file diff --git a/auto_search_corrected/post_analisi_snp.sh b/auto_search_corrected/post_analisi_snp.sh deleted file mode 100644 index b908b00..0000000 --- a/auto_search_corrected/post_analisi_snp.sh +++ /dev/null @@ -1,34 +0,0 @@ -#!/bin/bash - -output_folder=$1 -ref_folder=$2 -ref_name=$(basename $2) -vcf_name=$3 -guide_file=$4 -guide_name=$(basename $4) -mm=$5 -bDNA=$6 -bRNA=$7 -annotation_file=$8 -annotation_name=$(basename $8) -pam_file=$9 -pam_name=$(basename $9) -sampleID=${10} -dict_folder=${11} - -final_res=${12} -final_res_alt=${13} - -key=${14} - -echo "Processing SNPs for $key" -LC_ALL=C grep -P "$key\t" "$output_folder/crispritz_targets/${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" > "$output_folder/crispritz_targets/${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" -LC_ALL=C grep -P "$key\t" "$output_folder/crispritz_targets/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" > "$output_folder/crispritz_targets/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" -./scriptAnalisiNNN_v3.sh "$output_folder/crispritz_targets/${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" "$output_folder/crispritz_targets/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" "${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key" "$annotation_file" "$dict_folder" "$ref_folder" $mm $bDNA $bRNA "$guide_file" "$pam_file" "$sampleID" "$output_folder" -rm "$output_folder/crispritz_targets/${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" -rm "$output_folder/crispritz_targets/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" -# header=$(head -1 "$output_folder/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.bestMerge.txt") -# tail -n +2 "$output_folder/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.bestMerge.txt" >> "$final_res" #"$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" -# tail -n +2 "$output_folder/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.altMerge.txt" >> "$final_res_alt" #"$output_folder/${ref_name}+${vcf_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" -# rm "$output_folder/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.bestMerge.txt" -# rm "$output_folder/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.altMerge.txt" \ No newline at end of file diff --git a/auto_search_corrected/post_analysis_only.py b/auto_search_corrected/post_analysis_only.py deleted file mode 100644 index 89f2269..0000000 --- a/auto_search_corrected/post_analysis_only.py +++ /dev/null @@ -1,237 +0,0 @@ -#!/usr/bin/env python - -import sys -import os - -script_path = os.path.dirname(os.path.abspath( __file__ )) - -input_args = sys.argv - -variant = True - -if "--help" in input_args: - print("This is the post-analysis process that goes from targets generated by the search operation and generates the final results.") - print("These are the flags that must be used in order to run this function:") - print("\t--targetdir , used to specify the directory containing the results of the search step (also post-analysis results will be stored in this folder)") - print("\t--genome , used to specify the reference genome folder") - print("\t--vcf , used to specify the VCF folder [OPTIONAL!]") - print("\t--guide , used to specify the file that contains guides used for the search") - print("\t--pam , used to specify the file that contains the pam") - print("\t--annotation , used to specify the file that contains some annotations of the reference genome") - print("\t--samplesID , used to specify the file that contains the information about samples present in VCF files [OPTIONAL!]") - print("\t--bMax , used to specify the number of bulges for the indexing of the genome(s)") - print("\t--mm , used to specify the number of mismatches permitted in the search phase") - print("\t--bDNA , used to specify the number of DNA bulges permitted in the search phase") - print("\t--bRNA , used to specify the number of RNA bulges permitted in the search phase") - print("\t--merge, used to specify the threshold used to merge close targets") - #print("\t--output , used to specify the output folder for the results") - exit(0) - - -if "--targetdir" not in input_args: - print("--targetdir must be contained in the input") - exit(1) -else: - try: - targetdir = os.path.abspath(input_args[input_args.index("--targetdir")+1]) - except IndexError: - print("Please input some parameter for flag --targetdir") - exit(1) - if not os.path.isdir(targetdir): - print("The folder specified for --targetdir does not exist") - exit(1) - -if "--genome" not in input_args: - print("--genome must be contained in the input") - exit(1) -else: - try: - genomedir = os.path.abspath(input_args[input_args.index("--genome")+1]) - except IndexError: - print("Please input some parameter for flag --genome") - exit(1) - if not os.path.isdir(genomedir): - print("The folder specified for --genome does not exist") - exit(1) - -if "--vcf" not in input_args: - variant = False -else: - try: - vcfdir = os.path.abspath(input_args[input_args.index("--vcf")+1]) - except IndexError: - print("Please input some parameter for flag --vcf") - exit(1) - if not os.path.isdir(vcfdir): - print("The folder specified for --vcf does not exist") - exit(1) - -if "--guide" not in input_args: - print("--guide must be contained in the input") - exit(1) -else: - try: - guidefile = os.path.abspath(input_args[input_args.index("--guide")+1]) - except IndexError: - print("Please input some parameter for flag --guide") - exit(1) - if not os.path.isfile(guidefile): - print("The folder specified for --guide does not exist") - exit(1) - -if "--pam" not in input_args: - print("--pam must be contained in the input") - exit(1) -else: - try: - pamfile = os.path.abspath(input_args[input_args.index("--pam")+1]) - except IndexError: - print("Please input some parameter for flag --pam") - exit(1) - if not os.path.isfile(pamfile): - print("The folder specified for --pam does not exist") - exit(1) - -if "--annotation" not in input_args: - print("--annotation must be contained in the input") - exit(1) -else: - try: - annotationfile = os.path.abspath(input_args[input_args.index("--annotation")+1]) - except IndexError: - print("Please input some parameter for flag --annotation") - exit(1) - if not os.path.isfile(annotationfile): - print("The folder specified for --annotation does not exist") - exit(1) - -if variant and "--samplesID" not in input_args: - print("--samplesID must be contained in the input") - exit(1) -elif not variant and "--samplesID" in input_args: - print("--samplesID was in the input but no VCF directory was specified") - exit(1) -elif "--samplesID" in input_args: - try: - samplefile = os.path.abspath(input_args[input_args.index("--samplesID")+1]) - except IndexError: - print("Please input some parameter for flag --samplesID") - exit(1) - if not os.path.isfile(samplefile): - print("The folder specified for --samplesID does not exist") - exit(1) - -if "--bMax" not in input_args: - print("--bMax must be contained in the input") - exit(1) -else: - try: - bMax = input_args[input_args.index("--bMax")+1] - except IndexError: - print("Please input some parameter for flag --bMax") - exit(1) - try: - bMax = int(bMax) - except: - print("Please input a number for flag bMax") - exit(1) - if bMax < 0 or bMax > 2: - print("The range for bMax is from 0 to 2") - exit(1) - -if "--mm" not in input_args: - print("--mm must be contained in the input") - exit(1) -else: - try: - mm = input_args[input_args.index("--mm")+1] - except IndexError: - print("Please input some parameter for flag --mm") - exit(1) - try: - mm = int(mm) - except: - print("Please input a number for flag mm") - exit(1) - -if "--bDNA" not in input_args: - print("--bDNA must be contained in the input") - exit(1) -else: - try: - bDNA = input_args[input_args.index("--bDNA")+1] - except IndexError: - print("Please input some parameter for flag --bDNA") - exit(1) - try: - bDNA = int(bDNA) - except: - print("Please input a number for flag bDNA") - exit(1) - if bDNA > bMax: - print("The number of bDNA must be equal or less than bMax") - exit(1) - elif bDNA < 0 or bDNA > 2: - print("The range for bDNA is from 0 to", bMax) - exit(1) - -if "--bRNA" not in input_args: - print("--bRNA must be contained in the input") - exit(1) -else: - try: - bRNA = input_args[input_args.index("--bRNA")+1] - except IndexError: - print("Please input some parameter for flag --bRNA") - exit(1) - try: - bRNA = int(bRNA) - except: - print("Please input a number for flag bRNA") - exit(1) - if bRNA > bMax: - print("The number of bRNA must be equal or less than bMax") - exit(1) - elif bRNA < 0 or bRNA > 2: - print("The range for bRNA is from 0 to", bMax) - exit(1) - -if "--merge" not in input_args: - print("--merge must be contained in the input") - exit(1) -else: - try: - merge_t = input_args[input_args.index("--merge")+1] - except IndexError: - print("Please input some parameter for flag --merge") - exit(1) - try: - merge_t = int(merge_t) - except: - print("Please input a number for flag merge") - exit(1) - if merge_t < 0: - print("Please specify a positive number for --merge") - exit(1) - -''' -if "--output" not in input_args: - print("--output must be contained in the input") - exit(1) -else: - try: - outputfolder = os.path.abspath(input_args[input_args.index("--output")+1]) - except IndexError: - print("Please input some parameter for flag --output") - exit(1) - if not os.path.isdir(outputfolder): - print("The folder specified for --output does not exist") - exit(1) -''' -os.chdir(script_path) -if variant: - os.system("./post_analysis_only.sh "+genomedir+" "+vcfdir+" "+guidefile+" "+pamfile+" "+annotationfile+" "+samplefile+" "+str(bMax)+" "+str(mm)+" "+str(bDNA)+" "+str(bRNA)+" "+str(merge_t)+" "+targetdir+" "+script_path+" "+str(len(os.sched_getaffinity(0))-2)) -else: - os.system("./post_analysis_only.sh "+genomedir+" _ "+guidefile+" "+pamfile+" "+annotationfile+" _ "+str(bMax)+" "+str(mm)+" "+str(bDNA)+" "+str(bRNA)+" "+str(merge_t)+" "+targetdir+" "+script_path+" "+str(len(os.sched_getaffinity(0))-2)) - - diff --git a/auto_search_corrected/post_analysis_only.sh b/auto_search_corrected/post_analysis_only.sh deleted file mode 100644 index 7713f74..0000000 --- a/auto_search_corrected/post_analysis_only.sh +++ /dev/null @@ -1,230 +0,0 @@ -#!/bin/bash - -#file for automated search of guide+pam in reference and variant genomes - -ref_folder=$(realpath $1) -vcf_folder=$(realpath $2) -guide_file=$(realpath $3) -pam_file=$(realpath $4) -annotation_file=$(realpath $5) -sampleID=$(realpath $6) - -bMax=$7 -mm=$8 -bDNA=$9 -bRNA=${10} - -merge_t=${11} - -output_folder=$(realpath ${12}) - -starting_dir=${13} -ncpus=${14} - -echo "CPU used: $ncpus" -#echo $ref_folder -#echo $vcf_folder -#echo $guide_file -#echo $pam_file -#echo $annotation_file -#echo $output_folder -ref_name=$(basename $1) -#folder_of_folders=$(dirname $1) -vcf_name=$(basename $2) -guide_name=$(basename $3) -pam_name=$(basename $4) -annotation_name=$(basename $5) - -if [ "$vcf_name" != "_" ]; then - log="log_post_analysis_only_${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.txt" -else - log="log_post_analysis_only_${ref_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.txt" -fi - -touch $output_folder/$log - -echo "Post-analysis Start:" $(date +%F-%T) >> $output_folder/$log -echo "########################################" >> $output_folder/$log -echo "INPUT:" >> $output_folder/$log -echo "Reference - $ref_name" >> $output_folder/$log -echo "VCFs - $vcf_name" >> $output_folder/$log -echo "Guide - $guide_name" >> $output_folder/$log -echo "PAM - $pam_name" >> $output_folder/$log -echo "Annotation - $annotation_name" >> $output_folder/$log -echo "########################################" >> $output_folder/$log - -declare -a real_chroms -for file_chr in "$ref_folder"/*.fa -do - file_name=$(basename $file_chr) - chr=$(echo $file_name | cut -f 1 -d'.') - echo "$chr" - real_chroms+=("$chr") -done - -if [ "$vcf_name" != "_" ]; then - declare -a array_fake_chroms - for file_chr in "$vcf_folder"/*.vcf.gz - do - file_name=$(basename $file_chr) - chr=$(echo $file_name | cut -f 2 -d'.') - echo "fake$chr" - array_fake_chroms+=("fake$chr") - done -fi - -if ! [ -d "$output_folder" ]; then - mkdir "$output_folder" -fi -cd "$output_folder/" - -fullseqpam=$(cut -f1 -d' ' "$pam_file") -pos=$(cut -f2 -d' ' "$pam_file") -if [ $pos -gt 0 ]; then - true_pam=${fullseqpam:${#fullseqpam}-$pos} -else - true_pam=${fullseqpam:0:-$pos} -fi - -cd "$starting_dir" - -echo "Start post-analysis" - -if ! [ -f "$output_folder/crispritz_targets/${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" ]; then - echo "Ref targets not found, please launch search-only" - exit -fi -if ! [ -f "$output_folder/crispritz_targets/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" ]; then - echo "Variant targets not found, please launch search-only" - exit -fi -if ! [ -f "$output_folder/crispritz_targets/indels_${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" ]; then - echo "INDELs targets not found, please launch search-only" - exit -fi - -if [ "$vcf_name" != "_" ]; then - dict_folder="$output_folder/dictionaries_$vcf_name/" - echo "Post-analysis SNPs Start: "$(date +%F-%T) >> $output_folder/$log - final_res="$output_folder/final_results_${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.bestMerge.txt" - final_res_alt="$output_folder/final_results_${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.altMerge.txt" - if ! [ -f "$final_res" ]; then - touch "$final_res" - else - echo "This result already exists. $final_res" - exit - fi - if ! [ -f "$final_res_alt" ]; then - touch "$final_res_alt" - else - echo "This result already exists. $final_res_alt" - exit - fi - - ./pool_post_analisi_snp.py $output_folder $ref_folder $vcf_name $guide_file $mm $bDNA $bRNA $annotation_file $pam_file $sampleID $dict_folder $final_res $final_res_alt $ncpus - - echo "Post-analysis SNPs End: "$(date +%F-%T) >> $output_folder/$log - - for key in "${real_chroms[@]}" - do - tail -n +2 "$output_folder/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.bestMerge.txt" >> "$final_res" - tail -n +2 "$output_folder/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.altMerge.txt" >> "$final_res" - rm "$output_folder/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.bestMerge.txt" - rm "$output_folder/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.altMerge.txt" - done - -else - - final_res="$output_folder/final_results_${ref_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.bestMerge.txt" - final_res_alt="$output_folder/final_results_${ref_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.altMerge.txt" - if ! [ -f "$final_res" ]; then - touch "$final_res" - else - echo "This result already exists. $final_res" - exit - fi - if ! [ -f "$final_res_alt" ]; then - touch "$final_res_alt" - else - echo "This result already exists. $final_res_alt" - exit - fi - for key in "${real_chroms[@]}" - do - echo "Processing $key" - LC_ALL=C grep -P "$key\t" "$output_folder/crispritz_targets/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" > "$output_folder/crispritz_targets/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - touch "$output_folder/crispritz_targets/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - ./scriptAnalisiNNN_v3.sh "$output_folder/crispritz_targets/${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" "$output_folder/crispritz_targets/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" "${ref_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key" "$annotation_file" "_" "$ref_folder" $mm $bDNA $bRNA "$guide_file" "$pam_file" "$sampleID" "$output_folder" - rm "$output_folder/crispritz_targets/${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - rm "$output_folder/crispritz_targets/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt.$key" - header=$(head -1 "$output_folder/${ref_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.bestMerge.txt") - tail -n +2 "$output_folder/${ref_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.bestMerge.txt" >> "$final_res" #"$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" - tail -n +2 "$output_folder/${ref_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.altMerge.txt" >> "$final_res" #"$output_folder/${ref_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" - rm "$output_folder/${ref_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.bestMerge.txt" - rm "$output_folder/${ref_name}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}_$key.altMerge.txt" - - done - -fi - -echo "Adding header to files" -sed -i 1i"#Bulge_type\tcrRNA\tDNA\tReference\tChromosome\tPosition\tCluster_Position\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tVar_uniq\tSamples\tAnnotation_Type\tReal_Guide\trsID\tAF\tSNP\t#Seq_in_cluster\tCFD\tCFD_ref\tMMBLG_#Bulge_type\tMMBLG_crRNA\tMMBLG_DNA\tMMBLG_Reference\tMMBLG_Chromosome\tMMBLG_Position\tMMBLG_Cluster_Position\tMMBLG_Direction\tMMBLG_Mismatches\tMMBLG_Bulge_Size\tMMBLG_Total\tMMBLG_PAM_gen\tMMBLG_Var_uniq\tMMBLG_Samples\tMMBLG_Annotation_Type\tMMBLG_Real_Guide\tMMBLG_rsID\tMMBLG_AF\tMMBLG_SNP\tMMBLG_#Seq_in_cluster\tMMBLG_CFD\tMMBLG_CFD_ref" "$final_res" -sed -i 1i"#Bulge_type\tcrRNA\tDNA\tReference\tChromosome\tPosition\tCluster_Position\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tVar_uniq\tSamples\tAnnotation_Type\tReal_Guide\trsID\tAF\tSNP\t#Seq_in_cluster\tCFD\tCFD_ref\tMMBLG_#Bulge_type\tMMBLG_crRNA\tMMBLG_DNA\tMMBLG_Reference\tMMBLG_Chromosome\tMMBLG_Position\tMMBLG_Cluster_Position\tMMBLG_Direction\tMMBLG_Mismatches\tMMBLG_Bulge_Size\tMMBLG_Total\tMMBLG_PAM_gen\tMMBLG_Var_uniq\tMMBLG_Samples\tMMBLG_Annotation_Type\tMMBLG_Real_Guide\tMMBLG_rsID\tMMBLG_AF\tMMBLG_SNP\tMMBLG_#Seq_in_cluster\tMMBLG_CFD\tMMBLG_CFD_ref" "$final_res_alt" - -if [ "$vcf_name" != "_" ]; then - echo "SNPs analysis ended. Starting INDELs analysis" - cd "$starting_dir" - - echo "Post-analysis INDELs Start: "$(date +%F-%T) >> $output_folder/$log - ./pool_post_analisi_indel.py $output_folder $ref_folder $vcf_folder $guide_file $mm $bDNA $bRNA $annotation_file $pam_file $sampleID "$output_folder/log_indels_$vcf_name" $final_res $final_res_alt $ncpus - echo "Post-analysis INDELs End: "$(date +%F-%T) >> $output_folder/$log - for key in "${array_fake_chroms[@]}" - do - tail -n +2 "$output_folder/${key}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.bestMerge.txt" >> "$final_res" #"$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.bestCFD.txt.tmp" - tail -n +2 "$output_folder/${key}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.altMerge.txt" >> "$final_res" #"$output_folder/${fake_chr}_${guide_name}_${mm}_${bDNA}_${bRNA}.altCFD.txt.tmp" - rm "$output_folder/${key}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.bestMerge.txt" - rm "$output_folder/${key}_${pam_name}_${guide_name}_${annotation_name}_${mm}_${bDNA}_${bRNA}.altMerge.txt" - done - -fi - - - -cd "$starting_dir" - -echo "Merging Close Targets Start: "$(date +%F-%T) >> $output_folder/$log -./merge_close_targets_cfd.sh $final_res $final_res.trimmed $merge_t -mv $final_res.trimmed $final_res -mv $final_res.trimmed.discarded_samples $final_res_alt - -#./merge_close_targets_cfd.sh $final_res_alt $final_res_alt.trimmed $merge_t -#rm $final_res_alt -echo "Merging Close Targets End: "$(date +%F-%T) >> $output_folder/$log - -echo "Merging Alternative Chromosomes Start: "$(date +%F-%T) >> $output_folder/$log -./merge_alt_chr.sh $final_res $final_res.chr_merged -#rm $final_res.trimmed - -#./merge_alt_chr.sh $final_res_alt.trimmed $final_res_alt.trimmed.chr_merged -#rm $final_res_alt.trimmed -echo "Merging Alternative Chromosomes End: "$(date +%F-%T) >> $output_folder/$log - -mv $final_res.chr_merged $final_res -#mv $final_res_alt.trimmed.chr_merged $final_res_alt - -sed -i '1 s/^.*$/#Bulge_type\tcrRNA\tDNA\tReference\tChromosome\tPosition\tCluster_Position\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tVar_uniq\tSamples\tAnnotation_Type\tReal_Guide\trsID\tAF\tSNP\t#Seq_in_cluster\tCFD\tCFD_ref\tMMBLG_#Bulge_type\tMMBLG_crRNA\tMMBLG_DNA\tMMBLG_Reference\tMMBLG_Chromosome\tMMBLG_Position\tMMBLG_Cluster_Position\tMMBLG_Direction\tMMBLG_Mismatches\tMMBLG_Bulge_Size\tMMBLG_Total\tMMBLG_PAM_gen\tMMBLG_Var_uniq\tMMBLG_Samples\tMMBLG_Annotation_Type\tMMBLG_Real_Guide\tMMBLG_rsID\tMMBLG_AF\tMMBLG_SNP\tMMBLG_#Seq_in_cluster\tMMBLG_CFD\tMMBLG_CFD_ref/' "$final_res" -sed -i '1 s/^.*$/#Bulge_type\tcrRNA\tDNA\tReference\tChromosome\tPosition\tCluster_Position\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tVar_uniq\tSamples\tAnnotation_Type\tReal_Guide\trsID\tAF\tSNP\t#Seq_in_cluster\tCFD\tCFD_ref\tMMBLG_#Bulge_type\tMMBLG_crRNA\tMMBLG_DNA\tMMBLG_Reference\tMMBLG_Chromosome\tMMBLG_Position\tMMBLG_Cluster_Position\tMMBLG_Direction\tMMBLG_Mismatches\tMMBLG_Bulge_Size\tMMBLG_Total\tMMBLG_PAM_gen\tMMBLG_Var_uniq\tMMBLG_Samples\tMMBLG_Annotation_Type\tMMBLG_Real_Guide\tMMBLG_rsID\tMMBLG_AF\tMMBLG_SNP\tMMBLG_#Seq_in_cluster\tMMBLG_CFD\tMMBLG_CFD_ref/' "$final_res_alt" - -echo "Cleaning directory" - -if ! [ -d "$output_folder/cfd_graphs" ]; then - mkdir $output_folder/cfd_graphs -fi -./assemble_cfd_graphs.py $output_folder -mv $output_folder/snps.CFDGraph.txt $output_folder/cfd_graphs -mv $output_folder/indels.CFDGraph.txt $output_folder/cfd_graphs - - -echo "Post-analysis End: "$(date +%F-%T) >> $output_folder/$log -echo "POST-ANALYSIS END" - diff --git a/auto_search_corrected/post_process.sh b/auto_search_corrected/post_process.sh deleted file mode 100644 index 5edc3ed..0000000 --- a/auto_search_corrected/post_process.sh +++ /dev/null @@ -1,30 +0,0 @@ -#!/bin/bash - -#$1 is CFD targets file -#$2 is genecode annotation -#$3 is empirical data for the guide -#$4 is the guide (e.g. CTAACAGTTGCTTTTATCACNNN) -#$5 is output name for integrated data - -#EXTRACT DIRECTORY FROM REF FILE -dir=$(dirname $1) - -#EXAMPLE CALL bash post_process.sh sg1617.best.only_indels.txt gencode.protein_coding.bed sg1617.empiricalresults.tsv guide.txt hg38 sg1617.test - -starting_dir=$7 -echo 'Preparing files for post processing' -sed -i '/#/d' $1 -LC_ALL=C sort -T $dir -k21,21rg $1 -o $1 -awk '{print $5"\t"$7"\t"$7+length($3)"\t"$21}' $1 > $1.bed -sort-bed $1.bed > $1.bed.sort -mv $1.bed.sort $1.bed -sort-bed $2 > $2.bed.sort -mv $2.bed.sort $2 -echo 'Finding genecode annotation in range with targets' -closest-features --closest --delim "\t" --dist $1.bed $2 > $1.found.bed -echo 'Sorting final annotation results to correspond with original results file' -LC_ALL=C sort -T $dir -k4,4rg $1.found.bed -o $1.found.bed -echo 'Starting integration with empirical data (this may take a while)' -"$starting_dir"./resultIntegrator.py $1 $3 $1.found.bed $4 $6/ true $5 -echo 'Removing unnecessary files' -rm $1.bed $1.found.bed diff --git a/auto_search_corrected/process_for_summaries.py b/auto_search_corrected/process_for_summaries.py deleted file mode 100644 index 5f657f9..0000000 --- a/auto_search_corrected/process_for_summaries.py +++ /dev/null @@ -1,98 +0,0 @@ -#!/usr/bin/env python - -import sys -import os -import pandas as pd - - -def init_dict_samples(path_samples): - dict_samples = {} - dict_population = {} - dict_superpopulation = {} - with open(path_samples, 'r') as s: - header = s.readline() - for line in s: - splitted = line.strip().split('\t') - dict_samples[splitted[0]] = [splitted[3], - splitted[1], splitted[2], 0, 0, 0, 0] - if splitted[1] not in dict_population.keys(): - dict_population[splitted[1]] = 0 - if splitted[2] not in dict_superpopulation.keys(): - dict_superpopulation[splitted[2]] = 0 - - return dict_samples, dict_population, dict_superpopulation - - -path_final_results_best = sys.argv[1] -path_final_results_alt = sys.argv[2] -path_guides = sys.argv[3] -path_samples = sys.argv[4] - -os.system( - f"cat {path_final_results_best} > {path_final_results_best}.cumulative") -os.system( - f"tail -n +2 {path_final_results_alt} >> {path_final_results_best}.cumulative") - -guides = [] -with open(path_guides, 'r') as g: - for line in g: - guides.append(line) - - -for guide in guides: - os.system( - f"grep {guide} {path_final_results_best}.cumulative > {path_final_results_best}.cumulative.{guide}") - os.system( - f"sort -T {os.path.dirname(sys.argv[1])} -k5,5 -k6,6n {path_final_results_best}.cumulative.{guide} -o {path_final_results_best}.cumulative.{guide}.sorted") - dict_guide_summary = {} - dict_samples_summary, dict_population, dict_superpopulation = init_dict_samples( - path_samples) - with open(f"{path_final_results_best}.cumulative.sorted.{guide}", 'r') as f: - header = f.readline() - for line in f: - splitted = line.strip().split('\t') - var = False - pam_creation = False - if splitted[13] != 'n': # check if we have at least one sample - var = True - if splitted[11] != 'n': # check pam_creation - pam_creation = True - # BulgeType\tMismatches\tBulges - class_target = splitted[0] + "\t" + \ - splitted[8] + '\t' + splitted[9] - if class_target in dict_guide_summary.keys(): - if var: - dict_guide_summary[class_target][1] += 1 - else: - dict_guide_summary[class_target][0] += 1 - dict_guide_summary[class_target][2] += 1 - if pam_creation: - dict_guide_summary[class_target][3] += 1 - else: - if var: - if pam_creation: - dict_guide_summary[class_target] = [0, 1, 1, 1] - else: - dict_guide_summary[class_target] = [0, 1, 1, 0] - else: - if pam_creation: - dict_guide_summary[class_target] = [1, 0, 1, 1] - else: - dict_guide_summary[class_target] = [1, 0, 1, 0] - - if var: - samples = splitted[13].split(',') - for sample in samples: - if sample != 'NO_SAMPLES': - dict_samples_summary[sample][3] += 1 - if pam_creation: - dict_samples_summary[sample][6] += 1 - dict_population[dict_samples_summary[sample][1]] += 1 - dict_superpopulation[dict_samples_summary[sample][2]] += 1 - - for key in dict_samples_summary.keys(): - dict_samples_summary[key][4] = dict_population[dict_samples_summary[key][1]] - dict_samples_summary[key][5] = dict_superpopulation[dict_samples_summary[key][2]] - - print(dict_guide_summary) - print(dict_samples_summary) diff --git a/auto_search_corrected/radar_chart.py b/auto_search_corrected/radar_chart.py deleted file mode 100644 index d81c621..0000000 --- a/auto_search_corrected/radar_chart.py +++ /dev/null @@ -1,604 +0,0 @@ -#!/usr/bin/env python - -# Libraries -from operator import itemgetter -from os.path import isfile, join -from os import listdir -import os -import warnings -import glob -from itertools import islice -import sys -import numpy as np -import scipy.spatial.distance as sp -from math import pi -import pandas as pd -from matplotlib import patches as mpatches -from matplotlib import pyplot as plt -import math -import matplotlib -import random -# matplotlib.use("TkAgg") -matplotlib.use('Agg') - -warnings.filterwarnings("ignore") - -# argv 1 is Guide -# argv 2 is mm value -# argv 3 is annotation file (new version) -# argv 4 is extended profile (can be 'no' for web server) -# argv 5 is second summary for barplot (optional, 'no' if not given in input) -# argv 6 is gecko Summary file -# argv 7 is for web server: create png instead of pdf (-ws) (optional) -# argv 8 is for sample/pop/superpop report (-sample HG001/EUR/TSI) with this option, the annotation file is .sample_annotation.GUIDE.sample.txt -# TODO if argv8 is selected, from argv6 get the directory containing the summary of the specific sample for gecko -> line 618 -# NOTE al momento lo script funziona con gecko.annotation.summary; la comparison con i sample la fa su annotation.summary. Quando l'analisi per sample sarà fatta, la comparison -# con i sampla dovrà essere fatta sul file specifico -plt.style.use('seaborn-poster') -matplotlib.rcParams['pdf.fonttype'] = 42 -matplotlib.rcParams['ps.fonttype'] = 42 -matplotlib.rcParams["figure.figsize"] = [100, 80] -SIZE_GECKO = 123411 # NOTE modify if new gecko annotations are done -SIZE_GECKO = 111671 -random.seed(a=None, version=2) -guideFile = sys.argv[1] -mm = int(sys.argv[2]) -samplesIdFile = sys.argv[3] -bestTargetFile = sys.argv[4] -# # annotation_var = sys.argv[3] #sostituito da lettura automatica del file summary - -# # utilizzato per calcolare la 'bontà' della guida usata in comparazione con il suo set (opzionale quello delle popolazioni) -# # annotation delle guide ref, tutte le guide usate nella ricerca -# annotation_ref = sys.argv[3] -# inAnnotation_ref = open(annotation_ref, 'r').readlines() -# # utilizzato per motif logo -# extended_profile = sys.argv[4] -# # annotation delle popolazioni, un file per guida -# annotation_population = sys.argv[5] -# inAnnotation_population = open(annotation_population, 'r').readlines() - - -# gecko_summary = sys.argv[6] -# gecko_exon = sys.argv[7] -# gecko_intron = sys.argv[8] -# gecko_promoter = sys.argv[9] -# gecko_dnase = sys.argv[10] -# gecko_ctcf = sys.argv[11] - -web_server = False -population = False -file_extension = 'pdf' - -if '-ws' in sys.argv[:]: - web_server = True -if web_server: - file_extension = 'png' -if '-pop' is sys.argv[:]: - population = True - -dictRef = {} -dictPop = {} -dictSamples = {} - -for line in open(samplesIdFile, 'r'): - split = line.upper().strip().split('\t') - dictSamples[split[0]] = str(split[2]) - -for line in open(bestTargetFile, 'r'): - split = line.strip().split('\t') - - # dictRef.pop('Total_REF', None) - # # print(dictRef) - - # referenceDataFrame = pd.DataFrame.from_dict(dictRef, orient='index') - # # print(referenceDataFrame) - - # for col in referenceDataFrame: - # referenceDataFrame[str( - # col)+'_rank'] = referenceDataFrame[col].rank(method='first', pct=True) - - # for line in inAnnotation_population: - # split = line.lower().strip().split('\t') - # if 'Guide' in line: - # extractGuide = line.strip().split('_')[2] - # dictPop[extractGuide] = {} - # elif 'Summary' in line and 'Guide' not in line: - # pop = line.strip().split('_')[1] - # populationSet.add(pop.upper()) - # dictPop[extractGuide][pop] = {} - # else: - # # dictPop[extractGuide][pop][split[0]] = int(split[mm+1]) - # dictPop[extractGuide][pop][split[0]] = random.randint(200, 123456) - - # for key in dictPop: - # dictPop[key].pop('Total', None) - - # populationSet.remove('TOTAL') - - # tempDict = {} - # for elem in populationSet: - # for key in dictPop: - # tempDict[key+'_'+elem] = {} - # tempDict[key+'_'+elem] = dictPop[key][elem] - # tempDataFrame = pd.DataFrame.from_dict(tempDict, orient='index') - # for col in tempDataFrame: - # tempDataFrame[str( - # col)+'_rank'] = tempDataFrame[col].rank(method='first', pct=True) - # populationDataFrame = pd.concat([populationDataFrame, tempDataFrame]) - # tempDict = {} - - # print(referenceDataFrame) - # print(populationDataFrame) - - # print(annotationSet) - -totalDataFrame = pd.concat([referenceDataFrame, populationDataFrame]) -# totalDataFrame.to_csv('total.tsv', sep='\t') - -totalDataFrame = totalDataFrame.T - -populationSet = sorted(populationSet) -populationSet.append('REF') -annotationSet = sorted(annotationSet) -# print(totalDataFrame) -# Create data for radarchart -dataForChart = {'Populations': populationSet} -dataForTable = [] - -for annot in annotationSet: - if 'rank' in annot: - dataForChart[annot] = [] - -# print(dataForChart) -# data_for_table_df = [dictRef['targets']] -# rows = ['General'] -# listForChart = [] -templist = [] -for pop in populationSet: - for col in totalDataFrame: - if pop in col and guide in col: - for annot in annotationSet: - templist.append(totalDataFrame.loc[annot, col]) - if 'rank' in annot: - dataForChart[annot].append(totalDataFrame.loc[annot, col]) - dataForTable.append(templist) - templist = [] - -# print(dataForChart) -dataFrameForChart = pd.DataFrame.from_dict(dataForChart, orient='index') -dataFrameForChart = dataFrameForChart.T -# print(dataFrameForChart) -# number of variable -categories = list(dataFrameForChart)[1:] -N = len(categories) - -# # We are going to plot the first line of the data frame. -# # But we need to repeat the first value to close the circular graph: -# values = dataFrameForChart.loc[0].drop('').values.flatten().tolist() -# values += values[:1] - -# # What will be the angle of each axis in the plot? (we divide the plot / number of variable) -angles = [n / float(N) * 2 * pi for n in range(N)] -angles += angles[:1] - -# # Initialise the spider plot -# ax = plt.subplot(111, polar=True) -ax = plt.subplot(1, 1, 1, polar=True) -# plt.title('RADAR CHART') - -labels = list(dataFrameForChart.columns.values[1:]) -# Draw one axe per variable + add labels labels yet -plt.xticks(angles[:-1], labels, color='black', size=18) - -for label, rot in zip(ax.get_xticklabels(), angles): - if (rot == 0): - label.set_horizontalalignment("center") - if (rot > 0): - label.set_horizontalalignment("left") - if (rot > 3): - label.set_horizontalalignment("center") - if (rot > 4): - label.set_horizontalalignment("right") - -# # offset posizione y-axis -ax.set_theta_offset(pi / 2) -ax.set_theta_direction(-1) - -# # Draw ylabels -ax.set_rlabel_position(0) -plt.yticks([0, 0.25, 0.50, 0.75], ["0", "0.25", - "0.50", "0.75"], color="black", size=12) -plt.ylim(0, 1) - -# listPop = list(populationSet) -for count, pop in enumerate(populationSet): - values = dataFrameForChart.loc[count].drop( - 'Populations').values.flatten().tolist() - values += values[:1] - ax.plot(angles, values, linewidth=0.1, - linestyle='solid', label=str(pop)) - ax.fill(angles, values, alpha=0.1) - -# # Ind2 -# values = dataFrameForChart.loc[1].drop('Populations').values.flatten().tolist() -# values += values[:1] -# ax.plot(angles, values, linewidth=1, linestyle='solid', label=str(listPop[1])) -# ax.fill(angles, values, 'r', alpha=0.1) - -# Add legend -# plt.legend(bbox_to_anchor=(0.1, 0.1)) - - -# # Plot data -# ax.plot(angles, values, linewidth=1, linestyle='solid') - -# # Fill area -# ax.fill(angles, values, 'b', alpha=0.1) - -# columns = ('Position', '# Targets') - -# print(dataForTable) -# print(dataForChart) - -numpy_array = np.array(dataForTable) -transpose = numpy_array.T -transpose_list = transpose.tolist() -# print(transpose_list) - -tableAnnotation = [] -for annot in annotationSet: - if 'rank' not in annot: - tableAnnotation.append(annot) - -# print(tableAnnotation) - -# Create table plot -plt.subplot(1, 1, 1) -table = plt.table(cellText=transpose_list, rowLabels=annotationSet, - colLabels=annotationSet, loc='center', colWidths=[0.30 for x in annotationSet]) -table.auto_set_font_size(False) -table.set_fontsize(18) -table.scale(1, 3) -plt.axis('off') - - -plt.savefig("summary_single_guide_" + str(guide) + "_"+str(mm) + - "mm" + "." + file_extension, format=file_extension) - -# # Calculate motif logo -# if extended_profile != 'no': -# # lists for data storing and analysis -# guidesExtendedProfile = [] -# # reading extendend profile to obtain results over mismatches counts -# with open(extended_profile, 'r') as inGuidesProfileExtended: -# for line in inGuidesProfileExtended: -# if ">" + guide in line: -# # print(line) -# next(inGuidesProfileExtended) -# # line=inGuidesProfileExtended.readline() -# for ciao in range(0, uppermm+1): -# line = inGuidesProfileExtended.readline().strip() -# count = 0 -# x = line.split('\t') -# # read X Mismatch line, exclude last column -# guidesExtendedProfile.append(tuple(x[1:-1])) -# # guidesExtendedProfile.append((x[1], x[2], x[3], x[4], x[5], x[6], x[7], x[8], x[9], -# # x[10], x[11], x[12], x[13], x[14], x[15], x[16], x[17], x[18], x[19], x[20])) -# for line in inGuidesProfileExtended: -# if count < 6: -# line = line.rstrip() -# x = line.split('\t') -# # y = str(x[20]).split('\n') -# guidesExtendedProfile.append(tuple(x[1:])) -# # guidesExtendedProfile.append((x[1], x[2], x[3], x[4], x[5], x[6], x[7], x[8], x[9], -# # x[10], x[11], x[12], x[13], x[14], x[15], x[16], x[17], x[18], x[19], x[20])) -# count += 1 -# else: -# break -# break -# arrayguidesExtendedProfile = np.array(guidesExtendedProfile, dtype=int) -# shape_size = len(guidesExtendedProfile[0]) -# arrayguidesExtendedProfile.shape = (7*((uppermm-0)+1), shape_size) - -# # Plot motif logo -# datacount = arrayguidesExtendedProfile[mm*7] / \ -# (max(arrayguidesExtendedProfile[mm*7])) -# data = np.array(datacount, dtype=float) -# data = np.around(data, decimals=1) -# data.shape = (1, len(datacount)) - -# # string = guide[0:20] -# string = guide.replace('N', '') -# strArray = np.array([list(string)]) - -# A = arrayguidesExtendedProfile[mm*7+1] / \ -# (max(arrayguidesExtendedProfile[mm*7])) -# C = arrayguidesExtendedProfile[mm*7+2] / \ -# (max(arrayguidesExtendedProfile[mm*7])) -# G = arrayguidesExtendedProfile[mm*7+3] / \ -# (max(arrayguidesExtendedProfile[mm*7])) -# T = arrayguidesExtendedProfile[mm*7+4] / \ -# (max(arrayguidesExtendedProfile[mm*7])) -# DNA = arrayguidesExtendedProfile[mm*7+5] / \ -# (max(arrayguidesExtendedProfile[mm*7])) -# RNA = arrayguidesExtendedProfile[mm*7+6] / \ -# (max(arrayguidesExtendedProfile[mm*7])) - -# # the x locations for the groups -# ind = np.arange(0, len(string), 1) + 0.15 -# width = 0.7 # the width of the bars: can also be len(x) sequence - -# motif = plt.subplot(2, 1, 2, frameon=False) -# # motif=plt.subplot(1,1,1) -# p1 = plt.bar(ind, A, width, color='red', align='edge') -# p2 = plt.bar(ind, C, width, color='blue', bottom=A, align='edge') -# p3 = plt.bar(ind, G, width, color='green', bottom=A+C, align='edge') -# p4 = plt.bar(ind, T, width, color='purple', bottom=C+G+A, align='edge') -# p5 = plt.bar(ind, DNA, width, color='magenta', -# bottom=C+G+A+T, align='edge') -# p6 = plt.bar(ind, RNA, width, color='gold', -# bottom=C+G+A+T+DNA, align='edge') -# plt.xlim(0, len(string)) -# plt.xticks([]) - -# plt.legend((p1[0], p2[0], p3[0], p4[0], p5[0], p6[0]), -# ('A', 'C', 'G', 'T', 'D', 'R'), fontsize=18) - -# table = plt.table(cellText=strArray, loc='bottom', -# cellLoc='center', rowLoc='bottom') -# table.auto_set_font_size(False) -# table.set_fontsize(18) -# table.scale(1, 1.6) -# table.xticks = ([]) -# table.yticks = ([]) - -# plt.suptitle(str(mm)+" Mismatches", -# horizontalalignment='center', color='black', size=25) - -# plt.tight_layout() -# plt.subplots_adjust(top=0.90, bottom=0.07, left=0.05, -# right=0.99, wspace=0.12) - -# plt.savefig("summary_single_guide_" + str(guide) + -# "_"+str(mm) + "mm" + "." + file_extension, format=file_extension) - -# elif radarchart_sample: # Radarchart for sample -# if gecko_summary != 'no': # NOTE sta usando il summary gecko totale, non quello diviso per sample -# summary_two = [] -# with open(annotation_var, 'r') as ann_var: -# for line in ann_var: -# if sample_name in line: -# found = True -# continue -# if found: -# if 'Summary_' in line: -# break -# summary_two.append(line.strip()) - -# # Save annotation shared between gecko and user annotations -# common_annotations = dict() -# for i in summary_two: -# if i.split('\t')[0].lower() in ['targets', 'ctcf', 'dnasei', 'exon', 'intron', 'promoter']: -# # {'targets': [3, 7, 25, 474, 6872, 0, 0, 0, 0, 0], 'ctcf_binding_site': [0, 0, 3, 61, 659, 0, 0, 0, 0, 0],...} -# common_annotations[i.split('\t')[0].lower()] = [ -# int(x) for x in i.split('\t')[1:]] - -# ################ NEW GECKO COMPARISON ######################### -# with open(gecko_summary, 'r') as ann_var: -# # Create the complete matrix (row = guide, col = annotation, cell = number of targets with that guide in that annotation with mm mismatches) -# current_guide = '' -# for line in ann_var: -# line = line.strip().split('\t') -# if line[0] != current_guide and '_' in line[0]: -# complete_matrix.append([line[0].split('_')[1]]) -# current_guide = line[0] -# continue -# # Add to complete matrix only common annotations -# if line[0].lower() in common_annotations: -# complete_matrix[-1].append(line[mm + 1]) -# # NOTE -1 to eliminate the 'Summary_ Total' row that is always the last one when the matrix will be sorted -# num_guides = len(complete_matrix) - 1 -# min_diff = sys.maxsize -# pos_in_gecko = SIZE_GECKO -# cluster_pos = SIZE_GECKO - -# # Order the 1, 2 , 3 ... col and get input guide position -# # ['targets','CTCF', 'DNAseI', 'Exons', 'Introns', 'Promoters'] #NOTE lexicograph order (same as summary_two) -# annotations = sorted_common_annotations -# min_diff = sys.maxsize -# pos_in_gecko = SIZE_GECKO -# cluster_pos = SIZE_GECKO - -# for pos, annotation in enumerate(annotations): -# # int(summary_two[pos].split('\t')[mm + 1]) -# target_value = common_annotations[annotation][mm] -# complete_matrix.sort(key=lambda x: int( -# x[pos + 1])) # +1 pechè 0 è nome guida -# for pos_best, row in enumerate(complete_matrix): - -# current_diff = abs(int(row[pos+1]) - target_value) -# if current_diff > min_diff: -# pos_in_gecko = cluster_pos # pos - 1 -# break -# elif current_diff < min_diff: -# cluster_pos = pos_best - -# min_diff = current_diff - -# table_dict[annotation] = [ -# round(pos_in_gecko / SIZE_GECKO, 2), target_value] -# min_diff = sys.maxsize -# pos_in_gecko = SIZE_GECKO -# cluster_pos = SIZE_GECKO - -# # OLD GECKO COMPARISON WITH SUMMARY DIVIDED IN FILES ################# #NOTE posso riusare questo codice per calc sample -# # con gecko, basta cambiare line[0] in 'qualsiasi cosa' -# # e mm+1 con mm, quando aggiungo a_l - -# gecko_summary = gecko_summary[:gecko_summary.rfind( -# '/')] + '/Summary_Gecko/' + sample_name -# # annotations = ['CTCF', 'DNAseI', 'Exons', 'Introns', 'Promoters'] #NOTE lexicograph order (same as summary_two) -# annotations = ['CTCF', 'dnasei', 'exon', 'intron', 'promoter'] -# # for ann_pos, annotation in enumerate(annotations): -# # target_value = int(summary_two[ann_pos + 1].split('\t')[mm + 1]) #first +1 due to targets elelment , second +1 due to name of annotation in splitted list -# # #Load file -# # with open(gecko_summary + '/gecko.' + annotation + '.Count.txt', 'r') as ge: <- no -# # with open (gecko_summary + '/Summary_Gecko/' + sample_name + '/' + annotation + '.count_gecko.txt') as ge: <- this -# # a_l = [] -# # for line in ge: -# # line = line.strip().split('\t') -# # a_l.append([line[0], int(line[mm + 1])]) <- no #+1 due to name of annotation in line.split -# # a_l.append(['0', int(line[mm])]) <- this # '0' is just placeholder -# # a_l.sort(key=lambda x: int(x[1])) -# # #Calculate min difference -# # min_diff = sys.maxsize -# # pos_in_gecko = SIZE_GECKO -# # cluster_pos = SIZE_GECKO -# # for pos, i in enumerate(a_l): -# # current_diff = abs(i[1] - target_value) -# # if current_diff > min_diff: -# # pos_in_gecko = cluster_pos #pos - 1 -# # break -# # elif current_diff < min_diff: -# # cluster_pos = pos - -# # min_diff = current_diff - -# # #table_dict[annotation.lower()] = [round(pos_in_gecko / SIZE_GECKO, 2), target_value] -# # table_dict[annotation] = [round(pos_in_gecko / SIZE_GECKO, 2), target_value] - -# # #Calculate position on Total targets value -# # a_l = [] -# # with open(gecko_summary + '/gecko.reference.profile.xls') as gecko_pro: -# # header = gecko_pro.readline().strip().split('\t') -# # column_mm = header.index(str(mm) + 'MM') -# # for line in gecko_pro: -# # line = line.strip().split('\t') -# # a_l.append([line[0], int(line[column_mm])]) -# # a_l.sort(key=lambda x: int(x[1])) -# # #Calculate min difference -# # target_value = int(summary_two[0].split('\t')[mm + 1]) -# # min_diff = sys.maxsize -# # pos_in_gecko = SIZE_GECKO -# # cluster_pos = SIZE_GECKO -# # for pos, i in enumerate(a_l): -# # current_diff = abs(i[1] - target_value) -# # if current_diff > min_diff: -# # pos_in_gecko = cluster_pos#pos - 1 -# # break -# # elif current_diff < min_diff: -# # cluster_pos = pos -# # min_diff = current_diff - -# # table_dict['targets'] = [round(pos_in_gecko / SIZE_GECKO,2), target_value] -# else: - -# # summary_two contains counting of total, change variable name to summary_total -# summary_total = summary_two.copy() -# # Extract counting for total -# summary_two = [] -# with open(annotation_var, 'r') as ann_var: -# for line in ann_var: -# if sample_name in line: -# found = True -# continue -# if found: -# if 'Summary_' in line: -# break -# summary_two.append(line.strip()) -# # Calculate distances -# # print('num target: targets', summary_total[0].split('\t')[mm + 1]) -# if int(summary_total[0].split('\t')[mm + 1]) > 0: -# table_dict = {'targets': [round(1 - round(int(summary_two[0].split('\t')[mm + 1]) / int( -# summary_total[0].split('\t')[mm + 1]), 2), 2), summary_two[0].split('\t')[mm + 1]]} -# else: -# table_dict = {'targets': [0.0, summary_two[0].split('\t')[mm + 1]]} -# for pos, annotation in enumerate(summary_two[1:], 1): -# annotation = annotation.split('\t') -# # print('numtarget:', annotation,summary_total[pos].split('\t')[mm + 1] ) -# if int(summary_total[pos].split('\t')[mm + 1]) > 0: -# table_dict[annotation[0]] = [round(1 - round(int(annotation[mm + 1]) / int( -# summary_total[pos].split('\t')[mm + 1]), 2), 2), annotation[mm + 1]] -# else: -# table_dict[annotation[0]] = [0.0, annotation[mm + 1]] - -# # Create data for radarchart -# data_for_df = {'group': ['A'], 'General': table_dict['targets'][0]} -# data_for_table_df = [table_dict['targets']] -# rows = ['General'] -# for elem in table_dict: -# if elem == 'targets': -# continue -# data_for_df[elem] = table_dict[elem][0] -# data_for_table_df.append(table_dict[elem]) -# rows.append(elem) - -# dataFrameForChart = pd.DataFrame(data_for_df) - -# # number of variable -# categories = list(dataFrameForChart)[1:] -# N = len(categories) - -# # We are going to plot the first line of the data frame. -# # But we need to repeat the first value to close the circular graph: -# values = dataFrameForChart.loc[0].drop('group').values.flatten().tolist() -# values += values[:1] - -# # What will be the angle of each axis in the plot? (we divide the plot / number of variable) -# angles = [n / float(N) * 2 * pi for n in range(N)] -# angles += angles[:1] - -# # Initialise the spider plot -# ax = plt.subplot(1, 2, 1, polar=True) -# # ax=plt.subplot(1, 1, 1, polar=True) -# # plt.title('RADAR CHART') - -# labels = list(dataFrameForChart.columns.values[1:]) -# # Draw one axe per variable + add labels labels yet -# plt.xticks(angles[:-1], labels, color='black', size=18) -# for label, rot in zip(ax.get_xticklabels(), angles): -# if (rot == 0): -# label.set_horizontalalignment("center") -# if (rot > 0): -# label.set_horizontalalignment("left") -# if (rot > 3): -# label.set_horizontalalignment("center") -# if (rot > 4): -# label.set_horizontalalignment("right") - -# # offset posizione y-axis -# ax.set_theta_offset(pi / 2) -# ax.set_theta_direction(-1) - -# # Draw ylabels -# ax.set_rlabel_position(0) -# plt.yticks([0, 0.25, 0.50, 0.75, 1], ["0", "0.25", -# "0.50", "0.75"], color="black", size=18) -# plt.ylim(0, 1) - -# # Plot data -# ax.plot(angles, values, linewidth=1, linestyle='solid') - -# # Fill area -# ax.fill(angles, values, 'b', alpha=0.1) - -# columns = ('Position', '# Targets') - -# # Create table plot -# plt.subplot(1, 2, 2) -# table = plt.table(cellText=data_for_table_df, rowLabels=rows, -# colLabels=columns, loc='center', colWidths=[0.35 for x in columns]) -# table.auto_set_font_size(False) -# table.set_fontsize(18) -# table.scale(1, 3) -# plt.axis('off') - -# plt.suptitle(str(mm)+" Mismatches" + ' - ' + sample_name, -# horizontalalignment='center', color='black', size=25) - -# plt.tight_layout() -# plt.subplots_adjust(top=0.90, bottom=0.07, left=0.10, -# right=0.99, wspace=0.50) - -# plt.savefig("summary_single_guide_" + str(sample_name) + -# "_" + guide_name_for_sample + '_' + str(mm) + "mm" + "." + file_extension, format=file_extension) diff --git a/auto_search_corrected/readme.txt b/auto_search_corrected/readme.txt deleted file mode 100644 index 3721430..0000000 --- a/auto_search_corrected/readme.txt +++ /dev/null @@ -1,19 +0,0 @@ -Example of a possible call: - -./automated_search.py --genome hg19_ref/ --vcf hg19_vcfs/ --guide guides.txt --pam pam.txt --annotation hg19.annotations.bed --samplesID samplesID.txt --bMax 2 --mm 6 --bDNA 2 --bRNA 2 --output output/ - - -INPUT explanation: - -1) ref_folder = folder containing the reference genome divided in fasta files -2) [OPTIONAL] vcf_folder = folder containing the VCFs (with both SNP and INDELS). WARNING: the names of VCFs must contain the name of the chromosome in this fashion "something.chrNumber.somethingelse.anotherthing..." (the name of the chromosome must be in the second "field" delimited by the character "." ) -3) guide_file = file contaning the guide(s) -4) pam_file = file containing the PAM used. The file must be structured as follows: repetitions of N (corresponding to the length of the hypotetical guide), followed by the PAM (or viceversa if the PAM is at the beginning of the guide), followed by a whitespace, followed by a number representing the length of the PAM -5) annotation_file = file containing the annotations -6) [OPTIONAL] sampleID = tab separated file containig information about the samples (population, superpopulation...) -7) bMax = number of bulges used for indexing the genomes (both reference and variant) -8) mm = maximum number of mismatches allowed in the search phase -9) bDNA = number of DNA bulges permitted -10) bRNA = number of RNA bulges permitted -11) output_folder = folder used to store the results. Attention: this is also used to check whether some steps are already performed - diff --git a/auto_search_corrected/remove_bad_indel_targets.py b/auto_search_corrected/remove_bad_indel_targets.py deleted file mode 100644 index 2d45538..0000000 --- a/auto_search_corrected/remove_bad_indel_targets.py +++ /dev/null @@ -1,63 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- -""" -Created on Sat Sep 26 13:55:37 2020 - -@author: francesco -""" -import sys -import os - -with open(sys.argv[1], 'r') as fileIn: - with open(sys.argv[1]+'.tmp', 'w') as fileOut: - header = fileIn.readline() - doubleFile = False - if len(header) > 23: - doubleFile = True - fileOut.write(header) - for line in fileIn: - splitted = line.split('\t') - if doubleFile: - correct_first_target = True - correct_second_target = True - if splitted[18] != 'n': - indel_info = splitted[18].split('_') - start_indel = int(indel_info[1]) - if len(indel_info[2]) < len(indel_info[3]): - range_indel = range(start_indel, start_indel+len(indel_info[3])) - else: - range_indel = range(start_indel, start_indel+len(indel_info[2])) - range_target = range(int(splitted[5]), int(splitted[5])+len(splitted[1])) - if set(range_target).intersection(range_indel): - correct_first_target = True - else: - correct_first_target = False - if splitted[40] != 'n': - indel_info = splitted[40].split('_') - start_indel = int(indel_info[1]) - if len(indel_info[2]) < len(indel_info[3]): - range_indel = range(start_indel, start_indel+len(indel_info[3])) - else: - range_indel = range(start_indel, start_indel+len(indel_info[2])) - range_target = range(int(splitted[27]), int(splitted[27])+len(splitted[23])) - if set(range_target).intersection(range_indel): - correct_second_target = True - else: - correct_second_target = False - if correct_first_target and correct_second_target: - fileOut.write(line) - else: - if splitted[18] != 'n': - indel_info = splitted[18].split('_') - start_indel = int(indel_info[1]) - if len(indel_info[2]) < len(indel_info[3]): - range_indel = range(start_indel, start_indel+len(indel_info[3])) - else: - range_indel = range(start_indel, start_indel+len(indel_info[2])) - range_target = range(int(splitted[5]), int(splitted[5])+len(splitted[1])) - if set(range_target).intersection(range_indel): - fileOut.write(line) - else: - fileOut.write(line) - -os.system('mv '+sys.argv[1]+'.tmp '+sys.argv[1]) \ No newline at end of file diff --git a/auto_search_corrected/remove_contiguous_samples_cfd.py b/auto_search_corrected/remove_contiguous_samples_cfd.py deleted file mode 100644 index d81eac6..0000000 --- a/auto_search_corrected/remove_contiguous_samples_cfd.py +++ /dev/null @@ -1,142 +0,0 @@ -#!/usr/bin/env python -""" -Created on Fri Aug 28 15:58:04 2020 - -@author: francesco -""" -import sys -import time - -''' -def get_best_targets(cluster, fileOut, fileOut_disc, cfd, snp_info): - list_ref = [] - dict_var = dict() - for ele in cluster: - if ele[snp_info] == 'n': - list_ref.append(ele) - else: - if ele[snp_info] in dict_var.keys(): - dict_var[ele[snp_info]].append(ele) - else: - dict_var[ele[snp_info]] = [ele] - - list_ref.sort(key = lambda x : x[total]) - if len(list_ref) > 1: - best_ref = list_ref[0] - for ele_ref in list_ref[1:]: - if float(ele_ref[cfd]) > float(best_ref[cfd]): - fileOut_disc.write("\t".join(best_ref)) - best_ref = ele_ref - else: - fileOut_disc.write("\t".join(ele_ref)) - fileOut.write("\t".join(best_ref)) - elif len(list_ref) == 1: - fileOut.write("\t".join(list_ref[0])) - - for key in dict_var.keys(): - list_var = dict_var[key] - list_var.sort(key = lambda x : x[total]) - best_var = list_var[0] - if len(list_var) > 1: - for ele_var in list_var[1:]: - if float(ele_var[cfd]) > float(best_var[cfd]): - fileOut_disc.write("\t".join(best_var)) - best_var = ele_var - else: - fileOut_disc.write("\t".join(ele_var)) - fileOut.write("\t".join(best_var)) - else: - fileOut.write("\t".join(best_var)) -''' -def get_best_targets(cluster, fileOut, fileOut_disc, cfd, snp_info): - final_list = [] - list_ref = [] - dict_var = dict() - for ele in cluster: - if ele[snp_info] == 'n': - list_ref.append(ele) - else: - if ele[snp_info] in dict_var.keys(): - dict_var[ele[snp_info]].append(ele) - else: - dict_var[ele[snp_info]] = [ele] - - list_ref.sort(key = lambda x : int(x[total])) - if len(list_ref) > 1: - best_ref = list_ref[0] - for ele_ref in list_ref[1:]: - if float(ele_ref[cfd]) > float(best_ref[cfd]): - best_ref = ele_ref - final_list.append(best_ref) - elif len(list_ref) == 1: - final_list.append(list_ref[0]) - - for key in dict_var.keys(): - list_var = dict_var[key] - list_var.sort(key = lambda x : int(x[total])) - best_var = list_var[0] - if len(list_var) > 1: - for ele_var in list_var[1:]: - if float(ele_var[cfd]) > float(best_var[cfd]): - best_var = ele_var - final_list.append(best_var) - else: - final_list.append(best_var) - - n_ele = len(final_list) - if n_ele > 1: - final_list.sort(key = lambda x : float(x[cfd]), reverse=True) - if final_list[0][cfd] == final_list[1][cfd] and final_list[1][cfd-2] != 'n': - final_list[1][cfd-1] = str(n_ele-1) - final_list[1][2*cfd+1] = str(n_ele-1) - fileOut.write("\t".join(final_list[1])) - final_list.pop(1) - else: - final_list[0][cfd-1] = str(n_ele-1) - final_list[0][2*cfd+1] = str(n_ele-1) - fileOut.write("\t".join(final_list[0])) - final_list.pop(0) - for ele in final_list: - ele[cfd-1] = str(n_ele-1) - ele[2*cfd+1] = str(n_ele-1) - fileOut_disc.write("\t".join(ele)) - elif n_ele == 1: - fileOut.write("\t".join(final_list[0])) - -tau = int(sys.argv[3]) -chrom = int(sys.argv[4])-1 -pos = int(sys.argv[5])-1 -total = int(sys.argv[6])-1 -true_guide = int(sys.argv[7])-1 -snp_info = int(sys.argv[8])-1 -cfd = int(sys.argv[9])-1 -# -1 is to get the correct "python enumeration" from the bash script - -start = time.time() -with open(sys.argv[1], 'r') as fileIn: - header = fileIn.readline() - with open(sys.argv[2], 'w') as fileOut: - with open(sys.argv[2]+'.discarded_samples', 'w') as fileOut_disc: - fileOut.write(header) - fileOut_disc.write(header) - prev_pos = -(tau+1) - best_row = "" - prev_guide = "" - prev_chr = "" - prev_snp = "" - cluster = [] - for line in fileIn: - splitted = line.split("\t") - if prev_guide != splitted[true_guide] or prev_chr != splitted[chrom] or int(splitted[pos]) - prev_pos > tau: - get_best_targets(cluster, fileOut, fileOut_disc, cfd, snp_info) - cluster = [splitted] - else: - cluster.append(splitted) - prev_guide = splitted[true_guide] - prev_pos = int(splitted[pos]) - prev_chr = splitted[chrom] - prev_snp = splitted[snp_info] - - get_best_targets(cluster, fileOut, fileOut_disc, cfd, snp_info) - -print("Mergin done in: "+str(time.time()-start)) diff --git a/auto_search_corrected/replace_indels.py b/auto_search_corrected/replace_indels.py deleted file mode 100644 index 6d62678..0000000 --- a/auto_search_corrected/replace_indels.py +++ /dev/null @@ -1,53 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -""" -Created on Sat Jul 4 13:39:25 2020 - -@author: francesco -""" - -import pandas as pd -import numpy as np -import time -import re -import os -import sys - -print("Substituting indels in fasta files") - -start_time = time.time() -indels_pos = sys.argv[1] -indel_samples = pd.read_csv(sys.argv[2], sep='\t', dtype=np.bool) -ref_alt = pd.read_csv(sys.argv[3], sep='\t') -folder_fastas = sys.argv[4] -chrom = sys.argv[5] - -with open(folder_fastas+"/log"+chrom+".txt", 'w') as log: - log.write("CHR\tSAMPLES\n") -#df = pd.read_csv(indels_file) -r = 0 -with open(indels_pos, 'r') as in_file: - for line in in_file: - samples = indel_samples.columns[np.where(indel_samples.iloc[r,:] == True)] - splitted = line.rstrip().split("\t") - with open(folder_fastas+"/"+splitted[0]+"_"+splitted[1]+"-"+splitted[2]+"_"+str(r+1)+".fa", 'r') as fasta: - first = fasta.readline().rstrip() - second = fasta.readline().rstrip() - - if len(samples) > 0: - first_out = first+"\t"+','.join(samples) - else: - first_out = first+"\t"+'NO_SAMPLES' - second_out = second[0:25] + re.sub(ref_alt.iloc[r,2], ref_alt.iloc[r,3], second[25:], 1, flags=re.IGNORECASE) - - with open(folder_fastas+"/"+splitted[0]+"_"+splitted[1]+"-"+splitted[2]+"_"+str(r+1)+".fa", 'w') as fasta: - #fasta.write(first_out+"\n") - fasta.write(first+"\n") - fasta.write(second_out+"\n") - - with open(folder_fastas+"/log"+chrom+".txt", 'a') as log: - log.write(first_out+"\n") - - r += 1 - -print("Done in "+str(time.time()-start_time)) diff --git a/auto_search_corrected/resultIntegrator.py b/auto_search_corrected/resultIntegrator.py deleted file mode 100644 index 6e7caaa..0000000 --- a/auto_search_corrected/resultIntegrator.py +++ /dev/null @@ -1,281 +0,0 @@ -#!/usr/bin/env python - -from intervaltree import Interval, IntervalTree -import sys -import time -import concurrent.futures -import glob - - -def rev_comp(a): - # perform reverse complement on a string - if a == 'A' or a == 'a': - return 'T' - if a == 'T' or a == 't': - return 'A' - if a == 'C' or a == 'c': - return 'G' - return 'C' - - -print('READING INPUT FILES') - -# READ INPUT FILES -crispritzResultFile = sys.argv[1] # file with CRISPRitz results -empiricalResults = sys.argv[2] # file with empirical results -annotationFile = sys.argv[3] # annotation file used to find nearest gene -guideFile = sys.argv[4] # real guide used in the search -outputDir = sys.argv[5] # output file name -check = sys.argv[6].upper() # output file name -genomeRelease = str(sys.argv[7]) # genome used in the search phase - -# OPEN INPUT FILES AND PREPARE OUTPUT FILE -# crispritz results file open -inCrispritzResults = open(crispritzResultFile, 'r') -# empirical-seq data open -inEmpiricalResults = open(empiricalResults, 'r').readlines() -# annotation data open -inAnnotationFile = open(annotationFile, 'r') -# guide file -realguide = open(guideFile, 'r').readlines() - -empiricalTree = IntervalTree() -empiricalList = [] -genomeDict = {} -empiricalDict = {} -valueDict = {} -saveDict = {"real_guide": 'n', "genome": 'n', "chr": 'n', "prim_pos": 'n', "strand": 'n', "highest_CFD_guide_alignment": 'n', "highest_CFD_alignment(ref)": 'n', - "highest_CFD_alignment(alt)": 'n', "ref_seq_length": 'n', "ref_pos_alt(aligned_strand)": 'n', "pam": 'n', "annotation": 'n', "highest_CFD_score": 'n', - "highest_CFD_score(ref)": 'n', "highest_CFD_score(alt)": 'n', "risk_score": 'n', "absolute_risk_score": 'n', "highest_CFD_mismatch": 'n', - "highest_CFD_bulge": 'n', "highest_CFD_mismatch+bulge": 'n', "fewest_mm+bulge_guide_alignment": 'n', "fewest_mm+bulge_alignment(ref)": 'n', - "fewest_mm+bulge_alignment(alt)": 'n', "fewest_mm+bulge_CFD_score(ref)": 'n', "fewest_mm+bulge_CFD_score(alt)": 'n', "fewest_mismatch": 'n', - "fewest_bulge": 'n', "fewest_mismatch+bulge": 'n', "alt_haplotypes": 'n', "prim_origin": 'n', "prim_AF": 'n', "prim_samples": 'n', - "prim_SNP_ID(positive_strand)": 'n', "gene_name": 'n', "gene_ID": 'n', "gene_annotation": 'n', "gene_distance(kb)": 'n', "lowest_empirical": 'n', - "Nature2019": 'n', "Nature2019_mm+bul": 'n', "CHANGEseq": 'n', "CHANGEseq_mm+bul": 'n', "CIRCLEseq": 'n', "CIRCLEseq_mm+bul": 'n', "ONEseq": 'n', - "ONEseq_mm+bul": 'n', "GUIDEseq_293": 'n', "GUIDEseq_293_mm+bul": 'n', "GUIDEseq_CD34": 'n', "GUIDEseq_CD34_mm+bul": 'n', "GUIDEseq": 'n', - "GUIDEseq_mm+bul": 'n'} - -start_time = time.time() - -print('CREATING INTERVAL TREES') - -for count, line in enumerate(inEmpiricalResults): - empList = line.strip().split('\t') - empList = [elem.strip() for elem in empList] - empList.append(count) - # adding empirical data to the tree - empiricalTree[int(empList[2]):int(empList[3])] = empList - empiricalDict[str(empList[5])] = 50 - valueDict[str(empList[5])] = 'n' - -# open outputDir to write results -originFileName = crispritzResultFile.split('/') -originFileName = originFileName[len(originFileName)-1] -outFile = open(outputDir + originFileName + - '.integrated_results.tsv', 'w') - -# writing header in file -save = '#' -for key in saveDict: - save += str(key)+'\t' -save += '\n' -outFile.write(save) - -print('INTEGRATING RESULTS') - -if '#' in inCrispritzResults.readline(): - print('SKIP HEADER') -else: - inCrispritzResults.seek(0) - -for nline, line in enumerate(inCrispritzResults): - x = line.strip().split('\t') - annotationLine = inAnnotationFile.readline().strip().split('\t') - lowestEmpirical = 100 - - for key in saveDict: - saveDict[key] = 'n' - - for key in empiricalDict: - empiricalDict[key] = 50 - valueDict[key] = 'n' - - if 'NA' not in annotationLine and check == 'TRUE': - for elem in annotationLine: - if 'gene_id' in elem: - temp = elem.strip().split(';') - for name in temp: - if 'gene_id' in name: - saveDict['gene_ID'] = name.strip().split('=')[1] - if 'gene_name' in name: - saveDict['gene_name'] = name.strip().split('=')[1] - if 'gene_type' in name: - tipo = str(annotationLine[11]) - if 'codon' in tipo or 'exon' in tipo: - tipo = 'CDS' - elif 'gene' in tipo or 'transcript' in tipo: - tipo = 'intron' - elif 'five_prime_UTR' in tipo: - tipo = "5'UTR" - elif 'three_prime_UTR' in tipo: - tipo = "3'UTR" - # saveDict['gene_annotation'] = str(annotationLine[11]) - saveDict['gene_annotation'] = tipo - saveDict['gene_distance(kb)'] = str( - float(annotationLine[len(annotationLine)-1])/1000) - if float(annotationLine[len(annotationLine)-1]) != 0: - saveDict['gene_annotation'] = 'intergenic' - - origin = '' - if 'n' in str(x[13]): - origin = 'ref' - else: - origin = 'alt' - - variantList = ['n'] - if 'alt' in origin and str(x[20]) != str(x[21]): - variantList = str(x[18]).strip().split(',') - var_pos = [] - # generate variant position corrected to be in the positive strand - if '+' in str(x[7]): - refseq = str(x[3]) - altseq = str(x[2]) - for pos, nucleotide in enumerate(refseq): - if altseq[pos].lower() != nucleotide.lower(): - var_pos.append(pos+1) - else: - refseq = str(x[3]) - altseq = str(x[2]) - for pos in range(len(refseq)-1, -1, -1): - if refseq[pos].lower() != altseq[pos].lower(): - var_pos.append(pos+1) - # generate variant nucleotide reverse complemented always in positive strand - for count, elem in enumerate(variantList): - split = str(elem).strip().split('_') - split_one_len = len(split[2]) - split_second_len = len(split[3]) - correction = 0 - if split_one_len != split_second_len: - correction = split_second_len - if '+' in str(x[7]): - variantList[count] = str( - split[2])+str(int(var_pos[count])+correction)+str(split[3]) - else: - firstcomp = '' - secondcomp = '' - for piece in str(split[2]): - firstcomp += rev_comp(piece) - for piece in str(split[3]): - secondcomp += rev_comp(piece) - variantList[count] = ''.join( - reversed(firstcomp))+str(int(var_pos[count])+correction)+''.join(reversed(secondcomp)) - - saveDict['real_guide'] = str(realguide[0]).strip() - saveDict['genome'] = genomeRelease - saveDict['chr'] = str(x[4]) - saveDict['prim_pos'] = str(x[6]) - saveDict['strand'] = str(x[7]) - saveDict['highest_CFD_guide_alignment'] = str(x[1]) - saveDict['highest_CFD_alignment(alt)'] = str(x[2]) - saveDict['highest_CFD_alignment(ref)'] = str(x[3]) - saveDict['ref_seq_length'] = str(len(str(x[3]))) - saveDict['ref_pos_alt(aligned_strand)'] = ','.join(variantList) - saveDict['pam'] = str(x[2])[-3:] - saveDict['annotation'] = str(x[14]) - saveDict['highest_CFD_score(alt)'] = str(x[20]) - saveDict['highest_CFD_score(ref)'] = str(x[21]) - saveDict['highest_CFD_score'] = str(x[20]) if float( - x[20]) > float(x[21]) else str(x[21]) - if 'ref' in origin: - saveDict['highest_CFD_alignment(alt)'] = 'n' - saveDict['highest_CFD_alignment(ref)'] = str(x[2]) - saveDict['highest_CFD_score(alt)'] = 'n' - - if str(x[8]) != str(x[30]) or str(x[9]) != str(x[31]): - saveDict['fewest_mismatch'] = str(x[30]) - saveDict['fewest_bulge'] = str(x[31]) - saveDict['fewest_mismatch+bulge'] = str(x[32]) - saveDict['fewest_mm+bulge_guide_alignment'] = str(x[23]) - saveDict['fewest_mm+bulge_alignment(alt)'] = str(x[24]) - saveDict['fewest_mm+bulge_alignment(ref)'] = str(x[25]) - saveDict['fewest_mm+bulge_CFD_score(alt)'] = str(x[42]) - saveDict['fewest_mm+bulge_CFD_score(ref)'] = str(x[43]) - if 'ref' in origin: - saveDict['fewest_mm+bulge_alignment(alt)'] = 'n' - saveDict['fewest_mm+bulge_alignment(ref)'] = str(x[24]) - saveDict['fewest_mm+bulge_CFD_score(alt)'] = 'n' - else: - saveDict['fewest_mismatch'] = str(x[8]) - saveDict['fewest_bulge'] = str(x[9]) - saveDict['fewest_mismatch+bulge'] = str(x[10]) - saveDict['fewest_mm+bulge_guide_alignment'] = str(x[1]) - saveDict['fewest_mm+bulge_alignment(alt)'] = str(x[2]) - saveDict['fewest_mm+bulge_alignment(ref)'] = str(x[3]) - saveDict['fewest_mm+bulge_CFD_score(alt)'] = str(x[20]) - saveDict['fewest_mm+bulge_CFD_score(ref)'] = str(x[21]) - if 'ref' in origin: - saveDict['fewest_mm+bulge_alignment(alt)'] = 'n' - saveDict['fewest_mm+bulge_alignment(ref)'] = str(x[2]) - saveDict['fewest_mm+bulge_CFD_score(alt)'] = 'n' - - saveDict['risk_score'] = str(float(x[20])-float(x[21])) - saveDict['absolute_risk_score'] = str(abs(float(x[20])-float(x[21]))) - saveDict['alt_haplotypes'] = str(x[19].strip().split('.')[0]) - saveDict['prim_origin'] = origin - saveDict['prim_AF'] = str(x[17]) - saveDict['prim_samples'] = str(x[13]) - saveDict['prim_SNP_ID(positive_strand)'] = str(x[18]) - saveDict['highest_CFD_mismatch'] = str(x[8]) - saveDict['highest_CFD_bulge'] = str(x[9]) - saveDict['highest_CFD_mismatch+bulge'] = str(x[10]) - - if saveDict['highest_CFD_score(ref)'] == saveDict['highest_CFD_score(alt)'] and origin == 'alt': - saveDict['highest_CFD_alignment(alt)'] = 'n' - saveDict['highest_CFD_score(alt)'] = 'n' - saveDict['highest_CFD_score(ref)'] = str(x[21]) - saveDict['ref_seq_length'] = 1 - origin = 'ref' - saveDict['prim_origin'] = origin - saveDict['ref_pos_alt(aligned_strand)'] = 'n' - saveDict['prim_AF'] = 'n' - saveDict['prim_samples'] = 'n' - saveDict['prim_SNP_ID(positive_strand)'] = 'n' - saveDict['pam'] = str(x[3])[-3:] - saveDict['fewest_mm+bulge_alignment(alt)'] = 'n' - saveDict['fewest_mm+bulge_alignment(ref)'] = str(x[2]) - saveDict['fewest_mm+bulge_CFD_score(alt)'] = 'n' - - foundEmpirical = sorted(empiricalTree[int(x[6])-4:int(x[6])+4]) - - for found in range(0, len(foundEmpirical)): - empirical = foundEmpirical[found].data - if str(saveDict['chr']) == str(empirical[0]): - empiricalList.append(empirical[7]) - valueDict[str(empirical[5])] = empirical[6] - empiricalDict[str(empirical[5])] = int(empirical[4]) - - for key in empiricalDict: - if int(empiricalDict[key]) < 50: - saveDict[key] = str(valueDict[key]) - newkey = str(key)+'_mm+bul' - saveDict[newkey] = empiricalDict[key] - if int(empiricalDict[key]) < lowestEmpirical: - saveDict['lowest_empirical'] = str(empiricalDict[key]) - - save = '' - for key in saveDict: - save += str(saveDict[key])+'\t' - save += '\n' - - outFile.write(save) - -print('CHECKING MISSING RESULTS') - -notFoundFile = open(outputDir + originFileName + - '.empirical_not_found.tsv', 'w') - -for count, line in enumerate(inEmpiricalResults): - if count not in empiricalList: - notFoundFile.write(line) - -print("INTEGRATION COMPLETED IN: %s seconds" % (time.time() - start_time)) diff --git a/auto_search_corrected/scriptAnalisiNNN_v3.sh b/auto_search_corrected/scriptAnalisiNNN_v3.sh deleted file mode 100644 index e2e1a51..0000000 --- a/auto_search_corrected/scriptAnalisiNNN_v3.sh +++ /dev/null @@ -1,119 +0,0 @@ -#!/bin/bash - -# Script per l'analisi dei targets della ricerca REF e ENR con PAM NNN -# Il file dei targets della ricerca sul genoma reference si chiama $REFtargets -> INPUT $1 -# Il file dei targets della ricerca sul genoma enriched si chiama $ENRtargets -> INPUT $2 -# Output name dei file di intermezzo si chiama $jobid -> INPUT $3 -# Assicurarsi che il file della pam (pam.txt) e delle guide (guides.txt) siano -# presenti all'interno della cartella contentente lo script -# Il filde .bed delle annotazioni, variabile $annotationfile -> INPUT $4 -# Cartella dei dizionari, che contiene i file .json, variabile $dictionaries -> INPUT $5 -# $mismatch indica il numero di mismatches usati per la ricerca, default 6, -# $bulgesDNA e $bulgesRNA indicano il num di bulges usati nella ricerca, default 2 -# cartella del genoma reference, indicata con $referencegenome -> INPUT $6 -# Assicurarsi che il file con gli ID dei sample (samplesID.txt) sia nella cartella -# dello script - -#ESEMPIO CHIAMATA -# ./scriptAnalisiNNN.sh reference.targets.txt enriched.targets.txt nome_output hg38_annotations.bed dictionary_hg38/ hg38_ref/ - -#NOTA se è già presente un file con .total.txt si possono commentare gli step 1) e 2) - -REFtargets=$1 -ENRtargets=$2 -jobid=$3 -annotationfile=$4 -dictionaries=$5 -referencegenome=$6 - -mismatch=$7 -bulgesDNA=$8 -bulgesRNA=$9 - -guide_file=${10} -pam_file=${11} -sampleID=${12} - -output_folder=${13} - - -# 1) Rimozione duplicati, estrazione semicommon e unique e creazione file total -echo 'Creazione file .total.txt' -./extraction.sh $REFtargets $ENRtargets $jobid # OUTPUT $jobid.common_targets.txt -> Non usato - # $jobid.semi_common_targets.txt - # $jobid.unique_targets.txt -rm $jobid.common_targets.txt - -# 2) Creazione colonne PAM creation etc -awk '{real_guide=$2; gsub("-","",real_guide); print $0"\tn\tn\tn\tn\t"real_guide"\tn\tn\tn"}' $jobid.semi_common_targets.txt > $jobid.semi_common_targets.minmaxdisr.txt -rm $jobid.semi_common_targets.txt - -awk '{real_guide=$2; gsub("-","",real_guide); print $0"\tn\tn\tn\tn\t"real_guide"\tn\tn\tn"}' $jobid.unique_targets.txt > $jobid.unique_targets.pamcreation.txt #Add pam creation, variant unique, real guide column -rm $jobid.unique_targets.txt - -cat $jobid.unique_targets.pamcreation.txt $jobid.semi_common_targets.minmaxdisr.txt > $jobid.total.txt -rm $jobid.unique_targets.pamcreation.txt -rm $jobid.semi_common_targets.minmaxdisr.txt - -echo 'Creazione cluster del file .total.txt' -# 3) Clustering -./cluster.dict.py $jobid.total.txt 'no' 'True' 'True' "$guide_file" 'total' 'orderChr' # OUTPUT $jobid.total.cluster.txt -rm $jobid.total.txt - -#sed -i ':a;N;$!ba;s/\n/\tn\tn\tn\n/g' $jobid.total.cluster.txt -#sed -i '$s/$/\tn\tn\tn/g' $jobid.total.cluster.txt - -#sed -i '1s/.*/#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster Position\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tVar_uniq\tSamples\tAnnotation Type\tReal Guide\trsID\tAF\tSNP position/' $jobid.total.cluster.txt - -# 4) Estrazione del samples - -# Per questa parte, al posto di $jobid.total.cluster.txt e $jobid, si può chiamare lo script più volte mettendo i file divisi per uno o più -# cromosomi, estratti partendo dal file $jobid.total.cluster.txt -# Ognuno di questi file DEVE avere l'header preso dal file $jobid.total.cluster.txt -# Ognuno di questi file DEVE contenere tutti i target di un cromosoma (non posso avere cluster spezzati in due file diversi) -# NOTA greppare da $jobid.total.cluster.txt anche i cromosomi del tipo chr5_KI270791v1_alt - -# ESEMPIO so ho 3 file del tipo chr1-5.txt, chr 6-15.txt e chr 16-22XYM.txt -# farò queste chiamate -# python3 AnnotatorAllTargets.py $annotationfile chr1-5.txt chr1-5 $dictionaries pam.txt $mismatch $referencegenome guides.txt $bulgesDNA $bulgesRNA samplesID.txt -# python3 AnnotatorAllTargets.py $annotationfile chr6-15.txt chr6-15 $dictionaries pam.txt $mismatch $referencegenome guides.txt $bulgesDNA $bulgesRNA samplesID.txt -# python3 AnnotatorAllTargets.py $annotationfile chr16-22XYM.txt chr16-22XYM $dictionaries pam.txt $mismatch $referencegenome guides.txt $bulgesDNA $bulgesRNA samplesID.txt -# OUTPUT chr1-5.bestCFD.txt chr6-15.bestCFD.txt chr16-22XYM.bestCFD.txt -# chr1-5.CFDGraph.txt chr6-15.CFDGraph.txt chr16-22XYM.CFDGraph.txt -# I file .bestCFD.txt si possono unire (attenzione che avrò 3 header all'interno del file) per ottenere il file completo -# I file .CFDGraph.txt vanno sommati tra loro per ottenere il file finale -> AL MOMENTO NON NECESSARIO PER QUESTA ANALISI (TENERE COMUNQUE I FILE) - -echo 'Estrazione sample dal file .total.cluster.txt' - -./simpleAnalysis_v3.py "$annotationfile" "$jobid.total.cluster.txt" "$jobid" "$dictionaries" "$pam_file" $mismatch "$referencegenome" "$guide_file" $bulgesDNA $bulgesRNA "$sampleID" -# OUTPUT $jobid.bestCFD.txt -# $jobid.CFDGraph.txt (per fare l'area graph dei CFD REF vs ENR) -# NOTA AnnotatorAllTargets.py salva su disco SOLO il target con CFD più alto nel cluster e tra le scomposizioni esistenti -# Quindi i files jobid.samples.annotation (contentente le scomposizioni del TOP1 esistenti) e jobid.cluster.tmp.txt (contenente il miglior TOP1 -# scomposto e i target dei cluster con quell'aplotipo) NON sono creati -rm "$jobid.total.cluster.txt" - -echo 'Sorting and adjusting results' -#(head -n 1 $jobid.bestCFD.txt && tail -n +2 $jobid.bestCFD.txt | sort -k4,4 -k6,6 -T ./) > tmp && mv tmp $jobid.bestCFD.txt -#python3 compact_ref_var.py $jobid.bestCFD.txt -./adjust_cols.py $jobid.bestCFD.txt -./adjust_cols.py $jobid.altCFD.txt - -./adjust_cols.py $jobid.bestmmblg.txt -./adjust_cols.py $jobid.altmmblg.txt - -sed -i '1s/.*/MMBLG_#Bulge_type\tMMBLG_crRNA\tMMBLG_DNA\tMMBLG_Reference\tMMBLG_Chromosome\tMMBLG_Position\tMMBLG_Cluster_Position\tMMBLG_Direction\tMMBLG_Mismatches\tMMBLG_Bulge_Size\tMMBLG_Total\tMMBLG_PAM_gen\tMMBLG_Var_uniq\tMMBLG_Samples\tMMBLG_Annotation_Type\tMMBLG_Real_Guide\tMMBLG_rsID\tMMBLG_AF\tMMBLG_SNP\tMMBLG_#Seq_in_cluster\tMMBLG_CFD\tMMBLG_CFD_ref/' $jobid.bestmmblg.txt -sed -i '1s/.*/MMBLG_#Bulge_type\tMMBLG_crRNA\tMMBLG_DNA\tMMBLG_Reference\tMMBLG_Chromosome\tMMBLG_Position\tMMBLG_Cluster_Position\tMMBLG_Direction\tMMBLG_Mismatches\tMMBLG_Bulge_Size\tMMBLG_Total\tMMBLG_PAM_gen\tMMBLG_Var_uniq\tMMBLG_Samples\tMMBLG_Annotation_Type\tMMBLG_Real_Guide\tMMBLG_rsID\tMMBLG_AF\tMMBLG_SNP\tMMBLG_#Seq_in_cluster\tMMBLG_CFD\tMMBLG_CFD_ref/' $jobid.altmmblg.txt - - -pr -m -t -J $jobid.bestCFD.txt $jobid.bestmmblg.txt > $jobid.bestMerge.txt -pr -m -t -J $jobid.altCFD.txt $jobid.altmmblg.txt > $jobid.altMerge.txt - -rm $jobid.bestCFD.txt -rm $jobid.altCFD.txt -rm $jobid.bestmmblg.txt -rm $jobid.altmmblg.txt - -mv $jobid.bestMerge.txt $output_folder -mv $jobid.altMerge.txt $output_folder -mv $jobid.CFDGraph.txt $output_folder diff --git a/auto_search_corrected/search_only.py b/auto_search_corrected/search_only.py deleted file mode 100644 index 4014f58..0000000 --- a/auto_search_corrected/search_only.py +++ /dev/null @@ -1,171 +0,0 @@ -#!/usr/bin/env python - -import sys -import os - -script_path = os.path.dirname(os.path.abspath( __file__ )) - -input_args = sys.argv - -variant = True - -if "--help" in input_args: - print("This is the search process that goes from raw input up to the generation of targets.") - print("These are the flags that must be used in order to run this function:") - print("\t--genome , used to specify the reference genome folder") - print("\t--vcf , used to specify the VCF folder [OPTIONAL!]") - print("\t--guide , used to specify the file that contains guides used for the search") - print("\t--pam , used to specify the file that contains the pam") - print("\t--bMax , used to specify the number of bulges for the indexing of the genome(s)") - print("\t--mm , used to specify the number of mismatches permitted in the search phase") - print("\t--bDNA , used to specify the number of DNA bulges permitted in the search phase") - print("\t--bRNA , used to specify the number of RNA bulges permitted in the search phase") - print("\t--output , used to specify the output folder for the results") - exit(0) - -if "--genome" not in input_args: - print("--genome must be contained in the input") - exit(1) -else: - try: - genomedir = os.path.abspath(input_args[input_args.index("--genome")+1]) - except IndexError: - print("Please input some parameter for flag --genome") - exit(1) - if not os.path.isdir(genomedir): - print("The folder specified for --genome does not exist") - exit(1) - -if "--vcf" not in input_args: - variant = False -else: - try: - vcfdir = os.path.abspath(input_args[input_args.index("--vcf")+1]) - except IndexError: - print("Please input some parameter for flag --vcf") - exit(1) - if not os.path.isdir(vcfdir): - print("The folder specified for --vcf does not exist") - exit(1) - -if "--guide" not in input_args: - print("--guide must be contained in the input") - exit(1) -else: - try: - guidefile = os.path.abspath(input_args[input_args.index("--guide")+1]) - except IndexError: - print("Please input some parameter for flag --guide") - exit(1) - if not os.path.isfile(guidefile): - print("The folder specified for --guide does not exist") - exit(1) - -if "--pam" not in input_args: - print("--pam must be contained in the input") - exit(1) -else: - try: - pamfile = os.path.abspath(input_args[input_args.index("--pam")+1]) - except IndexError: - print("Please input some parameter for flag --pam") - exit(1) - if not os.path.isfile(pamfile): - print("The folder specified for --pam does not exist") - exit(1) - -if "--bMax" not in input_args: - print("--bMax must be contained in the input") - exit(1) -else: - try: - bMax = input_args[input_args.index("--bMax")+1] - except IndexError: - print("Please input some parameter for flag --bMax") - exit(1) - try: - bMax = int(bMax) - except: - print("Please input a number for flag bMax") - exit(1) - if bMax < 0 or bMax > 2: - print("The range for bMax is from 0 to 2") - exit(1) - -if "--mm" not in input_args: - print("--mm must be contained in the input") - exit(1) -else: - try: - mm = input_args[input_args.index("--mm")+1] - except IndexError: - print("Please input some parameter for flag --mm") - exit(1) - try: - mm = int(mm) - except: - print("Please input a number for flag mm") - exit(1) - -if "--bDNA" not in input_args: - print("--bDNA must be contained in the input") - exit(1) -else: - try: - bDNA = input_args[input_args.index("--bDNA")+1] - except IndexError: - print("Please input some parameter for flag --bDNA") - exit(1) - try: - bDNA = int(bDNA) - except: - print("Please input a number for flag bDNA") - exit(1) - if bDNA > bMax: - print("The number of bDNA must be equal or less than bMax") - exit(1) - elif bDNA < 0 or bDNA > 2: - print("The range for bDNA is from 0 to", bMax) - exit(1) - -if "--bRNA" not in input_args: - print("--bRNA must be contained in the input") - exit(1) -else: - try: - bRNA = input_args[input_args.index("--bRNA")+1] - except IndexError: - print("Please input some parameter for flag --bRNA") - exit(1) - try: - bRNA = int(bRNA) - except: - print("Please input a number for flag bRNA") - exit(1) - if bRNA > bMax: - print("The number of bRNA must be equal or less than bMax") - exit(1) - elif bRNA < 0 or bRNA > 2: - print("The range for bRNA is from 0 to", bMax) - exit(1) - -if "--output" not in input_args: - print("--output must be contained in the input") - exit(1) -else: - try: - outputfolder = os.path.abspath(input_args[input_args.index("--output")+1]) - except IndexError: - print("Please input some parameter for flag --output") - exit(1) - if not os.path.isdir(outputfolder): - print("The folder specified for --output does not exist") - exit(1) - -os.chdir(script_path) -if variant: - os.system("./search_only.sh "+genomedir+" "+vcfdir+" "+guidefile+" "+pamfile+" "+str(bMax)+" "+str(mm)+" "+str(bDNA)+" "+str(bRNA)+" "+outputfolder+" "+script_path+" "+str(len(os.sched_getaffinity(0))-2)) -else: - os.system("./search_only.sh "+genomedir+" _ "+guidefile+" "+pamfile+" "+str(bMax)+" "+str(mm)+" "+str(bDNA)+" "+str(bRNA)+" "+outputfolder+" "+script_path+" "+str(len(os.sched_getaffinity(0))-2)) - - diff --git a/auto_search_corrected/search_only.sh b/auto_search_corrected/search_only.sh deleted file mode 100644 index 00c6ae6..0000000 --- a/auto_search_corrected/search_only.sh +++ /dev/null @@ -1,226 +0,0 @@ -#!/bin/bash - -#file for automated search of guide+pam in reference and variant genomes - -ref_folder=$(realpath $1) -vcf_folder=$(realpath $2) -guide_file=$(realpath $3) -pam_file=$(realpath $4) -bMax=$5 -mm=$6 -bDNA=$7 -bRNA=$8 - -output_folder=$(realpath $9) - -starting_dir=${10} -ncpus=${11} -echo "CPU used: $ncpus" -#echo $ref_folder -#echo $vcf_folder -#echo $guide_file -#echo $pam_file -#echo $annotation_file -#echo $output_folder -ref_name=$(basename $1) -#folder_of_folders=$(dirname $1) -vcf_name=$(basename $2) -guide_name=$(basename $3) -pam_name=$(basename $4) - -if [ "$vcf_name" != "_" ]; then - log="log_search_only_${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.txt" -else - log="log_search_only_${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.txt" -fi - -touch $output_folder/$log - -echo "Search Start:" $(date +%F-%T) >> $output_folder/$log -echo "########################################" >> $output_folder/$log -echo "INPUT:" >> $output_folder/$log -echo "Reference - $ref_name" >> $output_folder/$log -echo "VCFs - $vcf_name" >> $output_folder/$log -echo "Guide - $guide_name" >> $output_folder/$log -echo "PAM - $pam_name" >> $output_folder/$log -echo "########################################" >> $output_folder/$log - -declare -a real_chroms -for file_chr in "$ref_folder"/*.fa -do - file_name=$(basename $file_chr) - chr=$(echo $file_name | cut -f 1 -d'.') - echo "$chr" - real_chroms+=("$chr") -done - -if [ "$vcf_name" != "_" ]; then - declare -a array_fake_chroms - for file_chr in "$vcf_folder"/*.vcf.gz - do - file_name=$(basename $file_chr) - chr=$(echo $file_name | cut -f 2 -d'.') - echo "fake$chr" - array_fake_chroms+=("fake$chr") - done -fi - -if ! [ -d "$output_folder" ]; then - mkdir "$output_folder" -fi -cd "$output_folder/" - - -if ! [ -d "$output_folder/crispritz_targets" ]; then - mkdir "$output_folder/crispritz_targets" -fi - -fullseqpam=$(cut -f1 -d' ' "$pam_file") -pos=$(cut -f2 -d' ' "$pam_file") -if [ $pos -gt 0 ]; then - true_pam=${fullseqpam:${#fullseqpam}-$pos} -else - true_pam=${fullseqpam:0:-$pos} -fi - -if [ "$vcf_name" != "_" ]; then - if ! [ -d "dictionaries_$vcf_name/" ]; then - echo "Dictionaries Start: "$(date +%F-%T) >> $output_folder/$log - mkdir "dictionaries_$vcf_name" - cd "$starting_dir" - ./create_dict.py "$vcf_folder" "$vcf_name" "$output_folder" "$log" & - pid_dicts=$! - cd "$output_folder/" - else - echo "Dictionaries already present" - fi - dict_folder="$output_folder/dictionaries_$vcf_name/" -fi - -if [ "$vcf_name" != "_" ]; then - if ! [ -d "$output_folder/log_indels_$vcf_name" ]; then - echo "INDELs Start: "$(date +%F-%T) >> $output_folder/$log - echo "Generating fake chromosomes for indels" - mkdir "fake_chrom_$vcf_name" - cd "$starting_dir" - ./pool_indels.py "$ref_folder" "$vcf_folder" "$vcf_name" "$guide_file" "$pam_file" $bMax $mm $bDNA $bRNA "$output_folder/fake_chrom_$vcf_name" "$log" $ncpus & - pid_indels=$! - cd "$output_folder" - else - echo "INDELs extraction already present" - # for key in "${!array_fake_chroms[@]}" - # do - # touch finished$key.txt - # done - fi - - if ! [ -d "$output_folder/${ref_name}+${vcf_name}" ]; then - echo "Add-variants Start: "$(date +%F-%T) >> $output_folder/$log - echo "Adding variants" - crispritz.py add-variants "$vcf_folder/" "$ref_folder/" - cp -r "variants_genome/SNPs_genome/${ref_name}_enriched/" "./${ref_name}+${vcf_name}" - rm -r "variants_genome/" - echo "Add-variants End: "$(date +%F-%T) >> $output_folder/$log - else - echo "Variants already added" - fi -fi - -while kill "-0" $pid_indels &>/dev/null; do - echo "Waiting for indels process" - sleep 600 -done - -if [ -d "$output_folder/fake_chrom_$vcf_name" ]; then - rm -r "$output_folder/fake_chrom_$vcf_name" -fi - -if ! [ -d "genome_library/"$true_pam"_${bMax}_"$ref_name ]; then - echo "Index-genome Reference Start: "$(date +%F-%T) >> $output_folder/$log - echo "Indexing reference genome" - crispritz.py index-genome "$ref_name" "$ref_folder/" "$pam_file" -bMax $bMax -th $(expr $ncpus - 2) - pid_index_ref=$! - echo "Index-genome Reference End: "$(date +%F-%T) >> $output_folder/$log -else - echo "Reference Index already present" -fi - - -if [ "$vcf_name" != "_" ]; then - if ! [ -d "genome_library/"$true_pam"_${bMax}_${ref_name}+${vcf_name}" ]; then - echo "Index-genome Variant Start: "$(date +%F-%T) >> $output_folder/$log - echo "Indexing variant genome" - crispritz.py index-genome "${ref_name}+${vcf_name}" "${ref_name}+${vcf_name}/" "$pam_file" -bMax $bMax -th $(expr $ncpus - 2) #${ref_folder%/}+${vcf_name}/ - pid_index_var=$! - echo "Index-genome Variant Start: "$(date +%F-%T) >> $output_folder/$log - else - echo "Variant Index already present" - fi -fi - - -if ! [ -f "$output_folder/crispritz_targets/${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" ]; then - echo "Search Reference Start: "$(date +%F-%T) >> $output_folder/$log - crispritz.py search "genome_library/"$true_pam"_${bMax}_$ref_name/" "$pam_file" "$guide_file" "${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}" -index -mm $mm -bDNA $bDNA -bRNA $bRNA -t -th $(expr $ncpus / 4) & - pid_search_ref=$! -else - echo "Search for reference already done" -fi - -if [ "$vcf_name" != "_" ]; then - if ! [ -f "$output_folder/crispritz_targets/${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" ]; then - echo "Search Variant Start: "$(date +%F-%T) >> $output_folder/$log - crispritz.py search "genome_library/"$true_pam"_${bMax}_${ref_name}+${vcf_name}/" "$pam_file" "$guide_file" "${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}" -index -mm $mm -bDNA $bDNA -bRNA $bRNA -t -th $(expr $ncpus / 4) -var - mv "${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" "$output_folder/crispritz_targets" - echo "Search Variant End: "$(date +%F-%T) >> $output_folder/$log - else - echo "Search for variant already done" - fi - - if ! [ -f "$output_folder/crispritz_targets/indels_${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" ]; then - echo "Search INDELs Start" - echo "Search INDELs Start: "$(date +%F-%T) >> $output_folder/$log - cd $starting_dir - ./pool_search_indels.py "$ref_folder" "$vcf_folder" "$vcf_name" "$guide_file" "$pam_file" $bMax $mm $bDNA $bRNA "$output_folder" $true_pam $ncpus - mv "$output_folder/indels_${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" "$output_folder/crispritz_targets" - echo "Search INDELs End" - echo "Search INDELs End: "$(date +%F-%T) >> $output_folder/$log - fi - -fi - -while kill "-0" $pid_search_ref &>/dev/null; do - echo "Waiting for search genome reference" - sleep 300 -done -if [ -f "$output_folder/${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" ]; then - mv "$output_folder/${ref_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" "$output_folder/crispritz_targets" -fi -echo "Search Reference End: "$(date +%F-%T) >> $output_folder/$log - -while kill "-0" $pid_dicts &>/dev/null; do - echo "Waiting for dictionary creation before SNP analysis" - sleep 300 -done - - -if ! [ -d "$output_folder/crispritz_prof" ]; then - mkdir $output_folder/crispritz_prof -fi -mv $output_folder/*profile* $output_folder/crispritz_prof/ &>/dev/null - -echo "Search End: "$(date +%F-%T) >> $output_folder/$log -echo "SEARCH END" - -: ' -if [ "$vcf_name" != "_" ]; then - for key in "${array_fake_chroms[@]}" - do - tail -n +2 "$output_folder/${key}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" >> "$output_folder/indels_${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" - header=$(head -1 "$output_folder/${key}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt") - rm "$output_folder/${key}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" - done - sed -i 1i"$header" "$output_folder/indels_${ref_name}+${vcf_name}_${pam_name}_${guide_name}_${mm}_${bDNA}_${bRNA}.targets.txt" -fi -' - diff --git a/auto_search_corrected/simpleAnalysis_v3.py b/auto_search_corrected/simpleAnalysis_v3.py deleted file mode 100644 index aab3b4b..0000000 --- a/auto_search_corrected/simpleAnalysis_v3.py +++ /dev/null @@ -1,1566 +0,0 @@ -#!/usr/bin/env python - - -''' -Calcolo semi bruteforce dei sample. -Per ogni target, se è un nuovo cluster, salva il cluster precedente, poi calcola le possibili scomposizioni esistenti, e passa al prossimo target. -Se stesso cluster: se il target è di una categoria già analizzata (X0, DNA1, DNA2 ... RNA1,RNA2 ... dove il numero indica i bulges presenti), usa -i dati della scomposizione già effettuata per evitare il ricalcolo della scomposizione. -Se invece la categoria non è stata già analizzata, fa una scomposizione completa (come il top1), e salva i dati per i prossimi target - -#TODO parallelizzare l'analisi -#NOTE da verificare se è compatibile com pam all'inizio -Added compatibility with dictionary chr_pos -> s1,s2;A,C/sNew;A,T -''' - -#argv1 è il file .bed con le annotazioni -#argv2 è il file .cluster.txt, che è ordinato per cromosoma. Era (03/03) il file top1 ordinato per chr -#argv3 è nome del file in output -#argv4 è directory dei dizionari -#argv5 is pamfile -#argv 6 is max allowed mms -#argv 7 is genome reference directory (Eg ../../Genomes/hg38_ref) -#argv8 is guide file -#argv9 is max allowed DNA bulges -#argv10 is max allowed RNA bulges -#argv11 is absolute path of sample file to load dictionary sample -> pop -# NOTE 06/03 -> removed PAM Disruption calculation -#NOTE 29/03 -> le colonne min max sono rimosse, dal file total.cluster sono già presenti colonne sample, annotation, real guide -# 29/03 colonne in input #Bulge_type crRNA DNA Chromosome Position Cluster Position Direction Mismatches Bulge_Size Total PAM_gen Var_uniq Samples Annotation Type Real Guide -#NOTE1 can happend that a iupac falls under the N char of NGG, meaning that a target can have the same number of mms both in his REF and VAR part: -#CACTGCAACCTCTGTCTCCCKGG -#CACTGCAACCTCTGTCTCCCGGG REF -#CACTGCAACCTCTGTCTCCCTGG VAR -#So check if decrease_ref_count is not empty to avoid this (in this case +1 will be added to samples for VAR part of target and +1 for all the -# other samples for REF part) -import warnings -warnings.filterwarnings("ignore", category=FutureWarning) -warnings.filterwarnings('ignore',category=UserWarning) - -import sys -import json -import time -import itertools -import os -from intervaltree import Interval, IntervalTree -import concurrent.futures -import subprocess -import pandas as pd -import pickle #to read CFD matrices -import numpy as np -import azimuth.model_comparison -import string -import multiprocessing -import re -from supportFunctions.loadSample import associateSample -SIZE_DOENCH = 10000 -N_THR = 3 - -#Return max doench value among list of extended targets -def doenchParallel(targets, model, result): - doench_score = azimuth.model_comparison.predict(targets,None, None, model= model, pam_audit=False) - doench_score = [np.around(i * 100) for i in doench_score] - max_doench = int(max(doench_score)) - result.append(max_doench) - -def doenchForIupac(sequence_doench, guide_seq, genome_type): - pos_iupac = [] - var = [] - for pos, c in enumerate(sequence_doench): - if c in iupac_code: - pos_iupac.append(pos) - var.append(iupac_code[c]) - - if var: - for i in itertools.product(*var): - t = list(sequence_doench) - for p, el in enumerate(pos_iupac): - t[el] = i[p] - targets_for_doench[guide_seq][genome_type].append(''.join(t)) - else: - targets_for_doench[guide_seq][genome_type].append(sequence_doench) - -def get_mm_pam_scores(): - try: - mm_scores = pickle.load(open(os.path.dirname(os.path.realpath(__file__)) + '/mismatch_score.pkl', 'rb')) - pam_scores = pickle.load(open(os.path.dirname(os.path.realpath(__file__)) +'/PAM_scores.pkl', 'rb')) - return (mm_scores, pam_scores) - except: - raise Exception("Could not find file with mismatch scores or PAM scores") - - -def revcom(s): - basecomp = {'A': 'T', 'C': 'G', 'G': 'C', 'T': 'A', 'U': 'A', '-':'-'} - letters = list(s[::-1]) - try: - letters = [basecomp[base] for base in letters] - except: - return None #If some IUPAC were not translated - return ''.join(letters) - -# Calculates CFD score -def calc_cfd(guide_seq, sg, pam, mm_scores, pam_scores): - score = 1 - sg = sg.replace('T', 'U') - guide_seq = guide_seq.replace('T', 'U') - s_list = list(sg) - guide_seq_list = list(guide_seq) - - for i, sl in enumerate(s_list): - if guide_seq_list[i] == sl: - score *= 1 - else: - try: #Catch exception if IUPAC character - key = 'r' + guide_seq_list[i] + ':d' + revcom(sl) + ',' + str(i + 1) - except Exception as e: - score = 0 - break - try: - score *= mm_scores[key] - except Exception as e : #If '-' is in first position, i do not have the score for that position - pass - - score *= pam_scores[pam] - return score - -class reversor: - ''' - Nel caso debba ordinare più campi però con reverse diversi, eg uno True e l'altro False, posso usare questa classe nella chiave per - simulare il contrario del reverse applicato - ''' - def __init__(self, obj): - self.obj = obj - - def __eq__(self, other): - return other.obj == self.obj - - def __lt__(self, other): - return other.obj < self.obj - - -def alignRefFromVar(t, refpos): - ''' - Dato in input una lista del tipo - t = ['BulgeType','Guide','Target','chr','pos','clusterpos'....] - refpos = [(3,'T'),(5,'C')] - Sostituisce i caratteri di refpos nelle posizioni indicate, calcola il CFD del nuovo reftarget e modifica i valori ricalcolando il mms value - ritorna line con il target, il mms count aggiornati, e ID AF SNPPos messi a 'n' #TODO controllare se il reset di questi valori va bene. - Return: ['BulgeType','Guide','TargetVersioneRef','chr','pos','clusterpos','mms aggiornati'...] - ''' - line = t.copy() - tmp_gap_position = [] - if line[0] == 'X': - target_to_modify_scomposition = list(blank_add_begin * max_dna_bulges + line[2] + blank_add_end * max_dna_bulges) #Eg if max bulge dna is 1: pam end -> [' ', 'A','C','G',...,'A','G','G']; pam begin -> ['T','G','T','C','A','G',...,'A','T',' '] - elif line[0] == 'DNA': - target_to_modify_scomposition = list(blank_add_begin * (max_dna_bulges - int(line[bulge_pos])) + line[2] + blank_add_end * (max_dna_bulges - int(line[bulge_pos]))) - else: - tmp_gap_position = [g.start() for g in re.finditer('-', line[2])] - target_to_modify_scomposition = list(blank_add_begin * (max_dna_bulges + int(line[bulge_pos])) + line[2].replace('-','') + blank_add_end * (max_dna_bulges + int(line[bulge_pos]))) - - # for scom_position, pcfc in enumerate(pos_char_for_cluster): - # target_to_modify_scomposition = target_to_modify.copy() #Copy the datastructure of the target to substitute the iupac for each valid scomposition - - for elem in refpos: #elem is tuple (position in target, ref char) - if target_to_modify_scomposition[elem[0]] == ' ': #if target to modify is ' ' - continue - # if target_to_modify_scomposition[elem[0]] not in iupac_code: #Non IUPAC char should not be targeted - # print('Error: Substituting into a NON IUPAC character:', line, str(elem[0]) , pos_char_for_cluster) - target_to_modify_scomposition[elem[0]] = elem[1] - - #Fix the removed '-' in RNA targets - for tmp_g_p in tmp_gap_position: - target_to_modify_scomposition.insert(tmp_g_p + (max_dna_bulges * pam_multiplier) + int(line[bulge_pos]) * pam_multiplier, '-') - - line[2] = ''.join(target_to_modify_scomposition).strip() - - mm_new_t = 0 - tmp_pos_mms = None #lista posizione dei mms - - - guide_no_pam = line[1][pos_beg:pos_end] - list_t = list(line[2]) - for position_t, char_t in enumerate(line[2][pos_beg:pos_end]): - if char_t.upper() != guide_no_pam[position_t]: - mm_new_t += 1 - tmp_pos_mms = position_t - if guide_no_pam[position_t] != '-': - list_t[sum_for_mms + position_t] = char_t.lower() - - # if allowed_mms < (mm_new_t - int(line[bulge_pos])): - # continue #Remove target since id does not respect mms constrains - line[2] = ''.join(list_t) - - line[mm_pos] = str(mm_new_t - int(line[bulge_pos])) - line[bulge_pos + 1] = str(mm_new_t) #total differences between targets and guide (mismatches + bulges) - # if do_print: - # print('last samples', last_samples[scom_position]) - # print('sample remove', samples_to_remove) - - - line[12] = 'n' - # line[13] = last_annotation - line[15] = 'n'#last_IDs[scom_position] #TODO controllo se il reset di queste informazioni va bene - line[16] = 'n'#last_AF[scom_position] #TODO controllo se il reset di queste informazioni va bene - line[17] = 'n'#last_SNPpos[scom_position] #TODO controllo se il reset di queste informazioni va bene - #line[18] = last_haplotype[scom_position] - # line = '\t'.join(line) - # cluster_update.write('\t'.join(line) + '\n') - # final_result = line.copy() - # if tmp_pos_mms: - # final_result.append(int(tmp_pos_mms)) - # else: #NO mms found - # final_result.append(-1) - - # cluster_to_save.append(final_result) - if line[0] == 'DNA': - cfd_score = calc_cfd(line[1][int(line[bulge_pos]):], line[2].upper()[int(line[bulge_pos]):-3], line[2].upper()[-2:], mm_scores, pam_scores) - line[-1] = str(cfd_score) - else: - cfd_score = calc_cfd(line[1], line[2].upper()[:-3], line[2].upper()[-2:], mm_scores, pam_scores) - line[-1] = str(cfd_score) - return line - - -print('ESECUZIONE DI ANNOTATION E CALC SAMPLE INSIEME') -print('TEST PER ANNOTAZIONE COMPLETA: I TARGET SENZA ANNOTAZIONE SONO SALVATI COME \"n\"') -print('SE UN TARGET HA 1+ ANNOTAZIONI, LE SALVA IN SINGOLA UNICA RIGA') -print('RIMOZIONE DEI TARGET CHE NON HANNO SAMPLES') -print('CALCOLO SCORES') -print('SOSTITUZIONE IUPAC DI TUTTI I TARGET CON CHAR DEL TOP1SCOMPOSTO') -print("READING INPUT FILES") -#Dictionaries for annotating samples - -#Dict for populations -# pop_file = pd.read_excel(os.path.dirname(os.path.realpath(__file__)) + '/20130606_sample_info.xlsx') -# all_samples = pop_file.Sample.to_list() -# all_pop = pop_file.Population.to_list() -# dict_sample_to_pop = dict() -# for pos, i in enumerate(all_samples): -# try: -# dict_sample_to_pop[i] = all_pop[pos] #{'S1':'POP1', 'S2':'POP1', ...} -# except: -# dict_sample_to_pop[i] = all_pop[pos] - -# #Dict for superpopulation -# dict_pop_to_sup = {'CHB':'EAS', 'JPT':'EAS', 'CHS':'EAS', 'CDX':'EAS', 'KHV':'EAS', -# 'CEU':'EUR', 'TSI':'EUR', 'FIN':'EUR', 'GBR':'EUR', 'IBS':'EUR', -# 'YRI':'AFR', 'LWK':'AFR', 'GWD':'AFR', 'MSL':'AFR', 'ESN':'AFR', 'ASW':'AFR', 'ACB':'AFR', -# 'MXL':'AMR', 'PUR':'AMR', 'CLM':'AMR', 'PEL':'AMR', -# 'GIH':'SAS', 'PJL':'SAS', 'BEB':'SAS', 'STU':'SAS', 'ITU':'SAS' -# } -# superpopulation = ['EAS', 'EUR', 'AFR', 'AMR','SAS'] - -dict_sample_to_pop, dict_pop_to_sup, dict_superpop_to_pop, dict_pop_to_sample, all_samples, all_pop, superpopulation, gender_sample = associateSample.loadSampleAssociation(sys.argv[11]) - -#READ INPUT FILES -annotationFile = sys.argv[1] #file with annotation -resultsFile = sys.argv[2] #file with results from search -outputFile = sys.argv[3] #file with annotated results - -#Get pam and guide length for new count mismatch samples -pam_at_beginning = False -with open (sys.argv[5]) as pam: - line = pam.read().strip() - pam = line.split(' ')[0] - len_pam = int(line.split(' ')[1]) - guide_len = len(pam) - len_pam - pos_beg = 0 - pos_end = None - pam_begin = 0 - pam_end = len_pam * (-1) - if len_pam < 0: - guide_len = len(pam) + len_pam - pam = pam[: (len_pam * (-1))] - len_pam = len_pam * (-1) - pos_beg = len_pam - pos_end = None - pam_begin = 0 - pam_end = len_pam - pam_at_beginning = True - else: - pam = pam[(len_pam * (-1)):] - pos_beg = 0 - pos_end = len_pam * (-1) - pam_begin = len_pam * (-1) - pam_end = None - -do_scores = True -if guide_len != 20: - with open(outputFile + '.acfd.txt', 'w+') as result: - result.write('NO SCORES') - do_scores = False - -iupac_code_set = { - "R":{"A", "G"}, - "Y":{"C", "T"}, - "S":{"G", "C"}, - "W":{"A", "T"}, - "K":{"G", "T"}, - "M":{"A", "C"}, - "B":{"C", "G", "T"}, - "D":{"A", "G", "T"}, - "H":{"A", "C", "T"}, - "V":{"A", "C", "G"}, - "r":{"A", "G"}, - "y":{"C", "T"}, - "s":{"G", "C"}, - "w":{"A", "T"}, - "k":{"G", "T"}, - "m":{"A", "C"}, - "b":{"C", "G", "T"}, - "d":{"A", "G", "T"}, - "h":{"A", "C", "T"}, - "v":{"A", "C", "G"}, - "A":{"A"}, - "T":{"T"}, - "C":{"C"}, - "G":{"G"}, - "a":{"a"}, - "t":{"t"}, - "c":{"c"}, - "g":{"g"}, - 'N':{'A','T','G','C'} - } - - -#OPEN INPUT FILES AND PREPARE OUTPUT FILE -inResult = open(resultsFile, "r") # resultfile open -inAnnotationFile = open(annotationFile, "r") # file with annotations open -# outFileSampleAll = open(outputFile + '.samples.all.annotation.txt', 'w') # outfile open (file with IUPAC targets and associated samples and annotation) - -count_removed_target = 0 -process = subprocess.Popen(['wc', '-l', resultsFile], stdout=subprocess.PIPE, stderr=subprocess.PIPE) -out, err = process.communicate() -total_line = int(out.decode('UTF-8').split(' ')[0]) -if total_line < 1: - print('WARNING! Input file has no targets') - sys.exit() -if total_line < 10: - mod_tot_line = 1 -else: - mod_tot_line = int(total_line/10) -#VARIABLE INIT -guideDict = {} -totalDict = {} - -start_time = time.time() - -print("EXECUTING PRELIMINARY OPERATIONS") - -annotationsTree = IntervalTree() -annotationsSet = set() -#guidesSet = set() #NOTE/BUG if guide finds 0 targets, it will not be annotated - -for line in inAnnotationFile: - x = line.split('\t') - x[3] = str(x[3]).rstrip("\n") - annotationsTree[int(x[1]):int(x[2])] = str(x[0])+'\t'+str(x[3]) - annotationsSet.add(str(x[3])) - -totalDict['targets'] = [0]*10 -for item in annotationsSet: - totalDict[item] = [0]*10 - -print("PRELIMINARY OPERATIONS COMPLETED IN: %s seconds" % (time.time() - start_time)) - -start_time = time.time() - -print("EXECUTING ANNOTATION") - -with open(resultsFile, 'r') as resFile: - header_len = len(resFile.readline().strip().split('\t')) - -# if header_len == 15: #'Both' case : comparison variant/ref is active -#header = '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster Position\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tVar_uniq\tSamples\tAnnotation Type\tReal Guide' -header = '#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster_Position\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tVar_uniq\tSamples\tAnnotation_Type\tReal_Guide\trsID\tAF\tSNP\t#Seq_in_cluster\tReference' - - -mm_pos = 7 #position of mismatch column -bulge_pos = 8 -max_dna_bulges = int(sys.argv[9]) -max_rna_bulges = int(sys.argv[10]) -max_bulges = max_dna_bulges -if max_rna_bulges > max_bulges: - max_bulges = max_rna_bulges - -blank_add_begin = ' ' #Needed for replacing IUPAC in cluster targets -blank_add_end = '' -pam_multiplier = 1 -pam_multiplier_negative = 0 -start_sample_for_cluster = 0 -cluster_step = 1 #If PAM end, go left to right -sum_for_mms = 0 #when updatig lowercase for nem_mm, this value represents the offset for the pam position (mainly needed only if pam at beginning) -end_sample_for_cluster = max_dna_bulges + max_rna_bulges #Values to check new iupac when working on cluster targets -if pam_at_beginning: - blank_add_begin = '' - blank_add_end = ' ' - pam_multiplier = 0 #Since ' ' are at end, and '-' to reinsert are before the ' ', need to put max_dna_bulges and rna_bulges of target to 0 - pam_multiplier_negative = 1 - end_sample_for_cluster = len_pam + guide_len - max_rna_bulges #For PAM at beginning, start from last nucleotide and go to left - start_sample_for_cluster = len_pam + guide_len + max_dna_bulges - cluster_step = -1 #If PAM beginning, go right to left - sum_for_mms = len_pam -# outFileSampleAll.write(header + '\n') -summary_samples = True - -header_list = header.strip().split('\t') -#Variables for summary samples code -''' -{ - GUIDE1 -> { - SAMPLE/POP/SUPERPOP1 ->{ - targets -> [0 0 0 0 0 0 0 0 0], - ann1 -> [0 0 0 0 0 0 0 0 0], - ann2 -> [0 0 0 0 0 0 0 0 0], - }, - SAMPLE/POP/SUPERPOP2 ->{ - targets -> [0 0 0 0 0 0 0 0 0], - ann1 -> [0 0 0 0 0 0 0 0 0], - ann2 -> [0 0 0 0 0 0 0 0 0], - } - } - GUIDE2 -> { - SAMPLE/POP/SUPERPOP1 ->{ - targets -> [0 0 0 0 0 0 0 0 0], - ann1 -> [0 0 0 0 0 0 0 0 0], - ann2 -> [0 0 0 0 0 0 0 0 0], - }, - SAMPLE/POP/SUPERPOP2 ->{ - targets -> [0 0 0 0 0 0 0 0 0], - ann1 -> [0 0 0 0 0 0 0 0 0], - ann2 -> [0 0 0 0 0 0 0 0 0], - } - } -} - -Per pop e superpop, se ho due sample stessa famiglia stesso target, conto solo una volta (visited_pop and visited_superpop array) -''' -count_sample = dict() #NOTE cout_sample -> GUIDE -> SAMPLE -> has targets + ann1 + ann2 ... + refposition - #refposition is a key unrelated to the other keys (targets ann1 ann2 ...) and it's used to classify the sample (0 0+ 1 1+). - #it's put in here just to avoid to duplicate the entire guide -> sample -> structure - # refposition -> [class , number of specific VAR on target to add/remove] #Save class (0 at start) and number of ontarget var specific - #for that sample. -ontarget_reference_count = dict() #Count number of REF target and REF part of semicommon -count_pop = dict() -count_superpop = dict() #NOTE added key 'distributions' for population distribution images - #count_superpop-> GUIDE -> SUPERPOP -> targets ann1 ann2 ... distributions - # distributions is an array of len mms+bulge, each position contains an array [0,0,0] of len bulge+1 (indicating no bulge, 1 bulge, 2bulge ...) - -#Create -Summary_total for a file ref.Annotation.summary.txt from the y and n values of Var_uniq column -summary_barplot_from_total = False -if 'Var_uniq' in header: - summary_barplot_from_total = True - vu_pos = header_list.index('Var_uniq') -count_unique = dict() -count_unique['targets'] = [0]*10 -count_unique_for_guide = dict() -for item in annotationsSet: - count_unique[item] = [0]*10 - -#Variables for samples calculation -total_error = 0 - - -current_chr = 'none' -chr_name = 'none' - -def rev_comp(a): - if a == 'A' or a == 'a': - return 'T' - if a == 'T' or a == 't': - return 'A' - if a == 'C' or a == 'c': - return 'G' - return 'C' - -iupac_code = { - "R":("A", "G"), - "Y":("C", "T"), - "S":("G", "C"), - "W":("A", "T"), - "K":("G", "T"), - "M":("A", "C"), - "B":("C", "G", "T"), - "D":("A", "G", "T"), - "H":("A", "C", "T"), - "V":("A", "C", "G"), - "r":("A", "G"), - "y":("C", "T"), - "s":("G", "C"), - "w":("A", "T"), - "k":("G", "T"), - "m":("A", "C"), - "b":("C", "G", "T"), - "d":("A", "G", "T"), - "h":("A", "C", "T"), - "v":("A", "C", "G"), - 'N':('A', 'T', 'C', 'G') - } - -#For scoring of CFD And Doench -tab = str.maketrans("ACTGRYSWMKHDBVactgryswmkhdbv", "TGACYRSWKMDHVBtgacyrswkmdhvb") - -def reverse_complement_table(seq): - return seq.translate(tab)[::-1] - -mm_scores, pam_scores = get_mm_pam_scores() -guides_dict = dict() #For CFD score -guides_dict_doench = dict() -targets_for_doench = dict() - -N_THR = multiprocessing.cpu_count() // 2 -refgenomedir = sys.argv[7] - -with open( os.path.dirname(os.path.realpath(__file__)) + "/azimuth/saved_models/V3_model_nopos.pickle", 'rb') as f: - model = pickle.load(f) -max_doench = 0 -sum_cfd = 0 -cfd_scores = [] - - -start_time_total = time.time() -lines_processed = 0 -allowed_mms = int(sys.argv[6]) -current_guide_chr_pos_direction = 'no' -cfd_best = open(outputFile + '.bestCFD.txt', 'w+') -cfd_best.write(header + '\tCFD\n') #Write header - -cfd_alt = open(outputFile + '.altCFD.txt', 'w+') -cfd_alt.write(header + '\tCFD\n') #Write header - -mmblg_best = open(outputFile + '.bestmmblg.txt', 'w+') -mmblg_best.write(header + '\tCFD\n') #Write header - -mmblg_alt = open(outputFile + '.altmmblg.txt', 'w+') -mmblg_alt.write(header + '\tCFD\n') #Write header - -save_cluster_targets = True -remove_iupac = False -save_total_general_table = False -add_to_general_table = dict() #chiave ['add'] = target semicommon da aggiungere alla tab generale delle guide, metto i valori di total presi dal primo target REF nel cluster di un semicommon che esiste - #chiave ['distribution'] = array len total, ogni cella divisa per mm,1B,2B..., per populationDistribution -last_annotation = '' #in un cluster, l'annotazione è la stessa, quindi la calcolo solo una volta e poi la riscrivo per gli altri target del cluster -last_samples = [] #se due target hanno la stessa scomposizione, hanno gli stessi samples, quindi non li ricalcolo -next(inResult) #Skip header -cluster_to_save = [] #contains all targets for each cluster, it's then sorted by CFD. Only the target with highest CFD is saved -cfd_for_graph = {'ref':[0]*101, 'var':[0]*101} #sum number times a cfd value appears, TODO aggiungere anche il conteggio per ogni sample - -dictionary_entries = ['X0'] #Categorie per la scomposizione, chiavi: 'BulgeType' + 'BulgeSize' -for i in range(int(max_dna_bulges)): - dictionary_entries.append('DNA' + str(i+1)) -for i in range(int(max_rna_bulges)): - dictionary_entries.append('RNA' + str(i+1)) - - - - - - - - -global_start = time.time() - -for line in inResult: - line = line.strip().split('\t') - # print(line) - guide_no_bulge = line[1].replace('-','') - activate_cluster_scomposition = False #se ho iupac in posizioni che non c'erano nel top1, fai la scomposizione completa - if (guide_no_bulge + line[3] + line[5] + line[6]) == current_guide_chr_pos_direction: #In current cluster - for pos_c, c in enumerate(line[2]): - if c in iupac_code: - if cluster_class[line[0] + line[8]] is None: - activate_cluster_scomposition = True #Non ho le info per questa catergoria di target nel cluster corrente - break - break - else: #no break triggered -> Nessun IUPAC - line[13] = last_annotation - - mm_new_t = 0 - guide_no_pam = line[1][pos_beg:pos_end] - list_t = list(line[2]) - tmp_pos_mms = None #lista posizione dei mms - for position_t, char_t in enumerate(line[2][pos_beg:pos_end]): - if char_t.upper() != guide_no_pam[position_t]: - mm_new_t += 1 - tmp_pos_mms = position_t - if guide_no_pam[position_t] != '-': - list_t[sum_for_mms + position_t] = char_t.lower() - if tmp_pos_mms: - line.append(int(tmp_pos_mms)) - else: #NO mms found - line.append(-1) - - - cluster_to_save.append(line) #CHECK MMS BEFORE - continue - if activate_cluster_scomposition: - #Calculate samples and all possible true scompositions - pos_snp = [] - tuple_var_ref = [] - target_combination = [] - pos_snp_chr = [] - set_list = [] - last_samples = [] - last_IDs = [] - last_AF = [] - last_SNPpos = [] - #last_haplotype = [] - pos_char_for_cluster = [] - substitute_ref = [] - target_string = line[2] - if line[6] == '-': - target_string = target_string[::-1] - bulge_found = 0 - for pos, char in enumerate(target_string): - if char == '-': - bulge_found = bulge_found + 1 - if char in iupac_code: - iupac_pos = str(int(line[4]) + pos + 1 - bulge_found) - try: - a = (datastore[chr_name + ',' + iupac_pos]) #NOTE se non ha samples, ritorna ;ref,var - except Exception as e: #NOTE this error can occure if i have an IUPAC in a target that has no vcf file - print(e) - print('Error at ' + ' '.join(line).rstrip() + ', with char ' + char + ', at pos ', iupac_pos, '. No corresponding SNP position was found in the vcf file') - samples_this_position = [] - total_error = total_error + 1 - else: - a = a.split('/') - samples_this_position = [] #Set of samples in this position (even if they have different var character) - character_list = [] #List of var characters, later add the reference character - for samples_chars in a: #samples_char can be 'sample1,sample2;A,T' or ';A,T' - samples_chars = samples_chars.split(';') - ref_char = samples_chars[1].split(',')[0] - var_char = samples_chars[1].split(',')[1] - if line[6] == '-': - ref_char = rev_comp(ref_char) - var_char = rev_comp(var_char) - character_list.append(var_char) - if samples_chars[0]: - samples_this_position.extend(samples_chars[0].split(',')) - character_list.append(ref_char) - pos_snp.append(pos) - pos_snp_chr.append(iupac_pos) - tuple_var_ref.append(tuple(character_list)) - substitute_ref.append(ref_char) - - if samples_this_position: - set_list.append(set(samples_this_position)) - else: - set_list.append(set()) - - #Get all combinations to remove targets that have no haplotype - #Create all combinations - for i in itertools.product(*tuple_var_ref): - t = list(target_string) - for p, el in enumerate(pos_snp): - t[el] = i[p] - target_combination.append(''.join(t)) - - target_scomposti_salvare = [] - target_scomposti_non_validi = [] - - samples_already_assigned = set() - false_targets = 0 - - if not tuple_var_ref: - print('Should never activate because i have at least one IUPAC') - target_scomposti_salvare.append(line) - #Get PAM of reference - if line[6] == '-': - tmp_t = target_combination[-1][::-1] - reference_pam = tmp_t[pam_begin:pam_end] - else: - reference_pam = target_combination[-1][pam_begin:pam_end] - found_creation = False - for pos_pam_ref, pam_char_ref in enumerate(reference_pam): - if not iupac_code_set[pam[pos_pam_ref]] & iupac_code_set[pam_char_ref]: #ref char not in set of general pam char - found_creation = True - - for t in target_combination: - set_list2 = [] - list_rsID = [] - list_af = [] - list_snp = [] - #list_haplotype = [] - final_result = line.copy() - for ele_pos,p in enumerate(pos_snp_chr): - try: - a = (datastore[chr_name + ',' + p]) - except: - set_list2.append(set()) - else: - a = a.split('/') - for samples_chars in a: #samples_char can be 'sample1,sample2;A,T' or ';A,T' - samples_chars = samples_chars.split(';') - ref_char = samples_chars[1].split(',')[0] - var_char = samples_chars[1].split(',')[1] - if line[6] == '-': - var_char = rev_comp(var_char) - - if t[pos_snp[ele_pos]].upper() == var_char: - if samples_chars[0]: - set_list2.append(set(samples_chars[0].split(','))) - list_rsID.append(samples_chars[2]) - list_af.append(samples_chars[3]) - list_snp.append(chr_name + '_' + p + '_' + ref_char + '_' + samples_chars[1].split(',')[1]) - #list_haplotype.append(var_char) - #forse append ID e AF - else: - set_list2.append(set()) - break - - if set_list2: - common_samples = set.intersection(*set_list2) - common_samples = common_samples - samples_already_assigned - samples_already_assigned = samples_already_assigned.union(common_samples) - if common_samples: - final_result[12] = ','.join(common_samples) - final_result[15] = ','.join(list_rsID) - final_result[16] = ','.join(list_af) - final_result[17] = ','.join(list_snp) - #final_result[18] = ','.join(list_haplotype) - #final_result.append(','.join(list_rsID)) - #final_result.append(','.join(list_af)) - #final_result.append(pos_snp_chr) - #se ho sample in comune allora mi salvo gli ID delle varianti della stessa posizione - else: - # final_result.append('No common samples') - final_result = [] #DO not save results without samples - false_targets += 1 - else: - # final_result.append('No samples') #DO not save results without samples - final_result = [] - if set_list: #Increase false_targets on targets that have at least 1 IUPAC - false_targets += 1 - if line[6] == '-': - t = t[::-1] - mm_new_t = 0 - tmp_pos_mms = None #lista posizione dei mms - if final_result: - guide_no_pam = final_result[1][pos_beg:pos_end] - list_t = list(t) - for position_t, char_t in enumerate(t[pos_beg:pos_end]): - if char_t.upper() != guide_no_pam[position_t]: - mm_new_t += 1 - tmp_pos_mms = position_t - if guide_no_pam[position_t] != '-': - list_t[sum_for_mms + position_t] = char_t.lower() - final_result[2] = ''.join(list_t)#t - if tmp_pos_mms: - final_result.append(int(tmp_pos_mms)) - else: #NO mms found - final_result.append(-1) - # print('f_r', final_result) - #Check for pam status - pam_ok = True - for pam_chr_pos, pam_chr in enumerate(t[pam_begin:pam_end]): - if pam_chr.upper() not in iupac_code_set[pam[pam_chr_pos]]: - pam_ok = False - - - if allowed_mms < (mm_new_t - int(final_result[8])) and pam_ok: - target_scomposti_non_validi.append(final_result) - if not pam_ok or allowed_mms < (mm_new_t - int(final_result[8])): - false_targets += 1 - continue #Remove target since id does not respect PAM or mms constrains - - final_result[7] = str(mm_new_t - int(final_result[8])) - final_result[9] = str(mm_new_t) #total differences between targets and guide (mismatches + bulges) - if found_creation: - final_result[10] = t[pam_begin:pam_end] - final_result[13] = last_annotation - target_scomposti_salvare.append(final_result) - - adjust_ref_position = True #almeno una volta nell'iterazione t in tartarget_scomposti_salvare o target_scomposti_non_validi, - #aggiorno la variabile ref_pos_alignement con la posizione corretta e il char ref da sostituire - ref_pos_alignement = [] - for t in target_scomposti_salvare: - last_samples.append(set(t[12].split(','))) - last_IDs.append(t[15]) - last_AF.append(t[16]) - last_SNPpos.append(t[17]) - #last_haplotype.append(t[18]) - pos_char_for_cluster.append([]) - original_targ_len = len(t[2]) - if t[0] == 'RNA': - gap_position = [g.start() for g in re.finditer('-', t[2])] #list of indices where '-' is located - idx_for_ref = 0 - for index_pos_snp, elem in enumerate(pos_snp): - add_to_count = 0 - add_blank = int(t[bulge_pos]) - if t[0] == 'RNA': - add_blank = 0 - for i in gap_position: - if not pam_at_beginning: #TODO try to remove the pam_at_beginning check to improve performances (it's done only on top1 so maybe it's ok) - if t[6]=='-': - if (original_targ_len - elem - 1) < i: - add_to_count += 1 - else: - if elem < i: - add_to_count += 1 - else: - if t[6]=='-': - if (original_targ_len - elem - 1) > i: - add_to_count -= 1 - else: - if elem > i: - add_to_count -= 1 - - if t[6]=='-': - pos_char_for_cluster[-1].append(((len(t[2]) - elem - 1) + add_to_count + (max_dna_bulges - int(add_blank) ) * pam_multiplier, t[2][(len(t[2]) - elem - 1)].upper())) - if adjust_ref_position: - ref_pos_alignement.append(((len(t[2]) - elem - 1) + add_to_count + (max_dna_bulges - int(add_blank) ) * pam_multiplier, substitute_ref[idx_for_ref] )) - else: - pos_char_for_cluster[-1].append((elem + add_to_count + (max_dna_bulges - int(add_blank) ) * pam_multiplier, t[2][elem].upper())) #save (position, character) of best scomposition - if adjust_ref_position: - ref_pos_alignement.append((elem + add_to_count + (max_dna_bulges - int(add_blank) ) * pam_multiplier, substitute_ref[idx_for_ref])) - idx_for_ref += 1 - adjust_ref_position = False - t[13] = last_annotation - - cluster_to_save.append(t) - for index_pos_snp, t in enumerate(target_scomposti_non_validi): - # sample_each_targ_combination.append(set_list2_for_targetscompostinonvalidi[pos]) - last_samples.append(set(t[12].split(','))) - last_IDs.append(t[15]) - last_AF.append(t[16]) - last_SNPpos.append(t[17]) - #last_haplotype.append(t[18]) - pos_char_for_cluster.append([]) - original_targ_len = len(t[2]) - if t[0] == 'RNA': - gap_position = [g.start() for g in re.finditer('-', t[2])] #list of indices where '-' is located - idx_for_ref = 0 - for elem in pos_snp: - add_to_count = 0 - add_blank = int(t[bulge_pos]) - if t[0] == 'RNA': - add_blank = 0 - for i in gap_position: - if not pam_at_beginning: #TODO try to remove the pam_at_beginning check to improve performances (it's done only on top1 so maybe it's ok) - if t[6]=='-': - if (original_targ_len - elem - 1) < i: - add_to_count += 1 - else: - if elem < i: - add_to_count += 1 - else: - if t[6]=='-': - if (original_targ_len - elem - 1) > i: - add_to_count -= 1 - else: - if elem > i: - add_to_count -= 1 - - if t[6]=='-': - pos_char_for_cluster[-1].append(((len(t[2]) - elem - 1) + add_to_count + (max_dna_bulges - int(add_blank) ) * pam_multiplier, t[2][(len(t[2]) - elem - 1)].upper())) - if adjust_ref_position: - ref_pos_alignement.append(((len(t[2]) - elem - 1) + add_to_count + (max_dna_bulges - int(add_blank) ) * pam_multiplier, substitute_ref[idx_for_ref] )) - else: - pos_char_for_cluster[-1].append((elem + add_to_count + (max_dna_bulges - int(add_blank) ) * pam_multiplier, t[2][elem].upper())) #save (position, character) of best scomposition - if adjust_ref_position: - ref_pos_alignement.append((elem + add_to_count + (max_dna_bulges - int(add_blank) ) * pam_multiplier, substitute_ref[idx_for_ref])) - idx_for_ref += 1 - adjust_ref_position = False - - clusterkey = line[0] + line[8] - cluster_class[clusterkey] = dict() - cluster_class[clusterkey]['poscharforcluster'] = pos_char_for_cluster - cluster_class[clusterkey]['lastsamples'] = last_samples - cluster_class[clusterkey]['lastID'] = last_IDs #ID - cluster_class[clusterkey]['lastAF'] = last_AF #AF (come last_samples) - cluster_class[clusterkey]['lastSNPpos'] = last_SNPpos - cluster_class[clusterkey]['ref_pos_alignement'] = ref_pos_alignement - #cluster_class[clusterkey]['lastHaplotype'] = last_haplotype - - else: - #Use previous scompositions to create possible scomposition in cluster - clusterkey = line[0] + line[8] - pos_char_for_cluster = cluster_class[clusterkey]['poscharforcluster'] - last_samples = cluster_class[clusterkey]['lastsamples'] - last_IDs = cluster_class[clusterkey]['lastID'] - last_AF = cluster_class[clusterkey]['lastAF'] - last_SNPpos = cluster_class[clusterkey]['lastSNPpos'] - #last_haplotype = cluster_class[clusterkey]['lastHaplotype'] - tmp_gap_position = [] - if line[0] == 'X': - target_to_modify = list(blank_add_begin * max_dna_bulges + line[2] + blank_add_end * max_dna_bulges) #Eg if max bulge dna is 1: pam end -> [' ', 'A','C','G',...,'A','G','G']; pam begin -> ['T','G','T','C','A','G',...,'A','T',' '] - elif line[0] == 'DNA': - target_to_modify = list(blank_add_begin * (max_dna_bulges - int(line[bulge_pos])) + line[2] + blank_add_end * (max_dna_bulges - int(line[bulge_pos]))) - else: - tmp_gap_position = [g.start() for g in re.finditer('-', line[2])] - target_to_modify = list(blank_add_begin * (max_dna_bulges + int(line[bulge_pos])) + line[2].replace('-','') + blank_add_end * (max_dna_bulges + int(line[bulge_pos]))) - - for scom_position, pcfc in enumerate(pos_char_for_cluster): - target_to_modify_scomposition = target_to_modify.copy() #Copy the datastructure of the target to substitute the iupac for each valid scomposition - - for elem in pcfc: #elem is tuple (position in target, character that was substituted in top1scomposed) - if target_to_modify_scomposition[elem[0]] == ' ': #if target to modify is ' ' - continue - if target_to_modify_scomposition[elem[0]] not in iupac_code: #Non IUPAC char should not be targeted - print('Error: Substituting into a NON IUPAC character:', line, str(elem[0]) , pos_char_for_cluster) - target_to_modify_scomposition[elem[0]] = elem[1] - - #Fix the removed '-' in RNA targets - for tmp_g_p in tmp_gap_position: - target_to_modify_scomposition.insert(tmp_g_p + (max_dna_bulges * pam_multiplier) + int(line[bulge_pos]) * pam_multiplier, '-') - - line[2] = ''.join(target_to_modify_scomposition).strip() - - mm_new_t = 0 - tmp_pos_mms = None #lista posizione dei mms - guide_no_pam = line[1][pos_beg:pos_end] - list_t = list(line[2]) - for position_t, char_t in enumerate(line[2][pos_beg:pos_end]): - if char_t.upper() != guide_no_pam[position_t]: - mm_new_t += 1 - tmp_pos_mms = position_t - if guide_no_pam[position_t] != '-': - list_t[sum_for_mms + position_t] = char_t.lower() - - if allowed_mms < (mm_new_t - int(line[bulge_pos])): - continue #Remove target since id does not respect mms constrains - #TODO add pam creation check - line[2] = ''.join(list_t) - - line[mm_pos] = str(mm_new_t - int(line[bulge_pos])) - line[bulge_pos + 1] = str(mm_new_t) #total differences between targets and guide (mismatches + bulges) - # if do_print: - # print('last samples', last_samples[scom_position]) - # print('sample remove', samples_to_remove) - - - line[12] = ','.join(last_samples[scom_position]) - line[13] = last_annotation - line[15] = last_IDs[scom_position] - line[16] = last_AF[scom_position] - line[17] = last_SNPpos[scom_position] - #line[18] = last_haplotype[scom_position] - # line = '\t'.join(line) - # cluster_update.write('\t'.join(line) + '\n') - final_result = line.copy() - if tmp_pos_mms: - final_result.append(int(tmp_pos_mms)) - else: #NO mms found - final_result.append(-1) - - cluster_to_save.append(final_result) - - else: #New cluster - #New cluster, order previous by CFD, and save the highest CFD - - # check_position = 0 - - #Calcolo lo score per ogni target nel cluster - for t in cluster_to_save: - - if t[0] == 'DNA': - cfd_score = calc_cfd(t[1][int(t[bulge_pos]):], t[2].upper()[int(t[bulge_pos]):-3], t[2].upper()[-2:], mm_scores, pam_scores) - t.append(str(cfd_score)) - else: - cfd_score = calc_cfd(t[1], t[2].upper()[:-3], t[2].upper()[-2:], mm_scores, pam_scores) - t.append(str(cfd_score)) - - - cluster_to_save.sort(key = lambda x : (float(x[-1]), reversor(int(x[9])), reversor(int(x[-2]))), reverse = True) - - cluster_to_save_mmbl = cluster_to_save.copy() - cluster_to_save_mmbl.sort(key = lambda x : (int(x[8]), int(x[7]))) - - keys_seen = [] - saved = False - """ - ref_this_clus = 'n' - cfd_ref = None - for c in cluster_to_save: - if c[12] != 'n': - ref_generated = alignRefFromVar(c, cluster_class[c[0] + c[8]]['ref_pos_alignement']) - ref_this_clus = ref_generated[2] - cfd_ref = ref_generated[-1] - break - """ - if cluster_to_save: - c = cluster_to_save[0] - - - #if c[12] != 'n': #Calcola ref nello stesso allineamento del var - # ref_best_var = alignRefFromVar(c, cluster_class[c[0] + c[8]]['ref_pos_alignement']) #TODO salvare questa line sul file - - c.pop(-2) - best_seq = c[12] - cfd_clus_key = c[3] + " " + c[5] + " " + c[6] + " " + c[-2] - - if c[12] == 'n': - cfd_for_graph['ref'][round(float(c[-1]) * 100)] += 1 - cfd_best.write('\t'.join(c)+'\tn\t'+str(c[-1])) - else: - cfd_for_graph['var'][round(float(c[-1]) * 100)] += 1 - ref_generated = alignRefFromVar(c, cluster_class[c[0] + c[8]]['ref_pos_alignement']) - ref_this_clus = ref_generated[2] - cfd_ref = ref_generated[-1] - cfd_best.write('\t'.join(c)+'\t'+ref_this_clus+'\t'+str(cfd_ref)) - cluster_to_save.pop(0) - keys_seen.append(cfd_clus_key) - saved = True - - list_for_alt = [] - for c in cluster_to_save: - c.pop(-2) - new_cfd_clus_key = c[3] + " " + c[5] + " " + c[6] + " " + c[-2] - if new_cfd_clus_key not in keys_seen: - keys_seen.append(new_cfd_clus_key) - if c[12] == 'n': - cfd_for_graph['ref'][round(float(c[-1]) * 100)] += 1 - #cfd_alt.write('\t'.join(c)+'\tn\n') - list_for_alt.append('\t'.join(c)+'\tn\t'+str(c[-1])) - else: - cfd_for_graph['var'][round(float(c[-1]) * 100)] += 1 - #cfd_alt.write('\t'.join(c)+'\t'+ref_this_clus+'\n') - ref_generated = alignRefFromVar(c, cluster_class[c[0] + c[8]]['ref_pos_alignement']) - ref_this_clus = ref_generated[2] - cfd_ref = ref_generated[-1] - list_for_alt.append('\t'.join(c)+'\t'+ref_this_clus+'\t'+str(cfd_ref)) - if saved: - cfd_best.write('\t' + str(len(list_for_alt))+ '\n') - for ele in list_for_alt: - cfd_alt.write(ele+'\t'+str(len(list_for_alt))+ '\n') - - keys_seen = [] - saved = False - if cluster_to_save_mmbl: - c = cluster_to_save_mmbl[0] - - - #if c[12] != 'n': #Calcola ref nello stesso allineamento del var - # ref_best_var = alignRefFromVar(c, cluster_class[c[0] + c[8]]['ref_pos_alignement']) #TODO salvare questa line sul file - - #c.pop(-2) - best_seq = c[12] - cfd_clus_key = c[3] + " " + c[5] + " " + c[6] + " " + c[-2] - - if c[12] == 'n': - #cfd_for_graph['ref'][round(float(c[-1]) * 100)] += 1 - mmblg_best.write('\t'.join(c)+'\tn\t'+str(c[-1])) - else: - #cfd_for_graph['var'][round(float(c[-1]) * 100)] += 1 - ref_generated = alignRefFromVar(c, cluster_class[c[0] + c[8]]['ref_pos_alignement']) - ref_this_clus = ref_generated[2] - cfd_ref = ref_generated[-1] - mmblg_best.write('\t'.join(c)+'\t'+ref_this_clus+'\t'+str(cfd_ref)) - cluster_to_save_mmbl.pop(0) - keys_seen.append(cfd_clus_key) - saved = True - - list_for_alt = [] - for c in cluster_to_save_mmbl: - #c.pop(-2) - new_cfd_clus_key = c[3] + " " + c[5] + " " + c[6] + " " + c[-2] - if new_cfd_clus_key not in keys_seen: - keys_seen.append(new_cfd_clus_key) - if c[12] == 'n': - #cfd_for_graph['ref'][round(float(c[-1]) * 100)] += 1 - #cfd_alt.write('\t'.join(c)+'\tn\n') - list_for_alt.append('\t'.join(c)+'\tn\t'+str(c[-1])) - else: - #cfd_for_graph['var'][round(float(c[-1]) * 100)] += 1 - #cfd_alt.write('\t'.join(c)+'\t'+ref_this_clus+'\n') - ref_generated = alignRefFromVar(c, cluster_class[c[0] + c[8]]['ref_pos_alignement']) - ref_this_clus = ref_generated[2] - cfd_ref = ref_generated[-1] - list_for_alt.append('\t'.join(c)+'\t'+ref_this_clus+'\t'+str(cfd_ref)) - if saved: - mmblg_best.write('\t' + str(len(list_for_alt))+ '\n') - for ele in list_for_alt: - mmblg_alt.write(ele+'\t'+str(len(list_for_alt))+ '\n') - - - cluster_to_save = [] - cluster_class = dict.fromkeys(dictionary_entries) #Dizionario dove salvare le variabile per ogni tipo di scomposizione (X,DNA1,DNA2,RNA1 etc...) - #Viene re-inizializzato per ogni cluster - current_guide_chr_pos_direction = guide_no_bulge + line[3] + line[5] + line[6] - if line[3] != current_chr: #New chr section, load a new dictionary - if not os.path.exists(os.path.realpath(sys.argv[4]) + '/my_dict_' + line[3] + '.json'): - #raise Exception("Dictionary not found"+line[3]) - current_chr = line[3] - chr_name = line[3] - pass - else: - if current_chr != 'none': - print('Done', current_chr, time.time() - start_time) - current_chr = line[3] - chr_name = line[3] - with open(os.path.realpath(sys.argv[4]) + '/my_dict_' + current_chr + '.json', 'r') as f: - datastore = json.load(f) - print ('Analysis of ' + current_chr) - start_time = time.time() - - #Calculate samples and all possible true scompositions - pos_snp = [] # lista delle posizioni degli iupac nel target - tuple_var_ref = [] #array che contiene le tuple composte da (var1,var2..., ref) (al momento abbiamo solo var1 nei dizionari) per ogni iupac nel target - # top1_ref = False - target_combination = [] #lista di tutte le possibili combinazioni di scomposizione di IUPAC - pos_snp_chr = [] # lista delle posizioni degli iupac nel target riferite alla posizione nel cromosoma - set_list_top1 = [] # lista di set di samples associati ad ogni posizione IUPAC - last_samples = [] - last_IDs = [] - last_AF = [] - last_SNPpos = [] - substitute_ref = [] #List of ref_char used to create the aligned ref target from a var - #last_haplotype = [] - pos_char_for_cluster = [] # lista di liste. Ogni lista corrisponde ad una scomposizione. Per ogni scomposizione mi salvo la posizione nel target e il carattere che ho trovato nella scomposizione - # andrò poi a sostituire questi caratteri negli altri target del cluster che sono nella stessa categoria - target_string = line[2] - if line[6] == '-': - target_string = target_string[::-1] - bulge_found = 0 - - #Prendi i sample associati ad ogni posizione iupac, insieme ai caratteri scomposti - for pos, char in enumerate(target_string): - if char == '-': - bulge_found = bulge_found + 1 - if char in iupac_code: - iupac_pos = str(int(line[4]) + pos + 1 - bulge_found) - try: - a = (datastore[chr_name + ',' + iupac_pos]) #NOTE se non ha samples, ritorna ;ref,var - except Exception as e: #NOTE this error can occure if i have an IUPAC in a target that has no vcf file - print(e) - print('Error at ' + ' '.join(line).rstrip() + ', with char ' + char + ', at pos ', iupac_pos, '. No corresponding SNP position was found in the vcf file') - samples_this_position = [] - total_error = total_error + 1 - else: - a = a.split('/') - samples_this_position = [] #Set of samples in this position (even if they have different var character) - character_list = [] #List of var characters, later add the reference character - for samples_chars in a: #samples_char can be 'sample1,sample2;A,T' or ';A,T' - samples_chars = samples_chars.split(';') - ref_char = samples_chars[1].split(',')[0] - var_char = samples_chars[1].split(',')[1] - if line[6] == '-': - ref_char = rev_comp(ref_char) - var_char = rev_comp(var_char) - character_list.append(var_char) - if samples_chars[0]: - samples_this_position.extend(samples_chars[0].split(',')) - character_list.append(ref_char) - pos_snp.append(pos) - pos_snp_chr.append(iupac_pos) - tuple_var_ref.append(tuple(character_list)) - substitute_ref.append(ref_char) # when i found a iupac, save the position and the reference char - if samples_this_position: - set_list_top1.append(set(samples_this_position)) #posso usarla per prendere i sample che sono associati ad una determinata posizione iupac, se questo iupac non c'è in un target del - # cluster, da last_sample tolgo i sample di quella posizione - #var char da sostituire con elenco di var char se sample hanno var diversi - else: - set_list_top1.append(set()) - # print('samples this pos', samples_this_position) - - #Get all combinations to remove targets that have no haplotype - #Create all combinations - for i in itertools.product(*tuple_var_ref): - t = list(target_string) - for p, el in enumerate(pos_snp): - t[el] = i[p] - target_combination.append(''.join(t)) - - target_scomposti_salvare = [] #lista di target che esistono realmente - target_scomposti_non_validi = [] #target che non esistono per colpa del mms threshold, ma la scomposizione potrebbe essere ok per un altro traget nel cluster - samples_already_assigned = set() - false_targets = 0 - - - #Get PAM of reference per vedere se ho una PAM creation. Nota che per come è stato costruito, il target reference è sempre l'ultimo di target combination - if line[6] == '-': - tmp_t = target_combination[-1][::-1] - reference_pam = tmp_t[pam_begin:pam_end] - else: - reference_pam = target_combination[-1][pam_begin:pam_end] - found_creation = False - for pos_pam_ref, pam_char_ref in enumerate(reference_pam): - if not iupac_code_set[pam[pos_pam_ref]] & iupac_code_set[pam_char_ref]: #ref char not in set of general pam char - found_creation = True - - # sample_each_targ_combination = [] #lista di liste, una lista per ogni target combination valida. Dentro ogni lista c'è una lista di set - #di sample per ogni posizione iupac - #EG [[{s1,s2}, {s3},{s1,s4}], [...]] la prima combinazione ha 3 iupac, e quelli sono i sample associati - # set_list2_for_targetscompostinonvalidi = [] #come sample_each_targ_comb, ma per le scomposizioni che non rispettano il mms threshold - - for t in target_combination: #Per ogni possibile scomposizione, salva solo quelle che esistono (ovvero hanno sample associati e rispettano il mms threshold e la pam) - # print(t) - set_list2 = [] - list_rsID = [] - list_af = [] - list_snp = [] - #list_haplotype = [] - final_result = line.copy() - for ele_pos,p in enumerate(pos_snp_chr): - try: - a = (datastore[chr_name + ',' + p]) - except: - set_list2.append(set()) - else: - a = a.split('/') - for samples_chars in a: #samples_char can be 'sample1,sample2;A,T' or ';A,T' - samples_chars = samples_chars.split(';') - ref_char = samples_chars[1].split(',')[0] - var_char = samples_chars[1].split(',')[1] - if line[6] == '-': - var_char = rev_comp(var_char) - - if t[pos_snp[ele_pos]].upper() == var_char: - if samples_chars[0]: - set_list2.append(set(samples_chars[0].split(','))) - list_rsID.append(samples_chars[2]) - list_af.append(samples_chars[3]) - list_snp.append(chr_name + '_' + p + '_' + ref_char + '_' + samples_chars[1].split(',')[1]) - #list_haplotype.append(var_char) - else: - set_list2.append(set()) - break - - if set_list2: - common_samples = set.intersection(*set_list2) - common_samples = common_samples - samples_already_assigned - samples_already_assigned = samples_already_assigned.union(common_samples) - if common_samples: - final_result[12] = ','.join(common_samples) - final_result[15] = ','.join(list_rsID) - final_result[16] = ','.join(list_af) - final_result[17] = ','.join(list_snp) - #final_result[18] = ','.join(list_haplotype) - #final_result.append(','.join(list_rsID)) - #final_result.append(','.join(list_af)) - #final_result.append(pos_snp_chr) - else: - # final_result.append('No common samples') - final_result = [] #DO not save results without common samples - false_targets += 1 - # print('no common samples') - else: - # final_result.append('No samples') #DO not save results without samples - final_result = [] - # print('no samples') - if set_list_top1: #Increase false_targets on targets that have at least 1 IUPAC - false_targets += 1 - if line[6] == '-': - t = t[::-1] - mm_new_t = 0 - tmp_pos_mms = None #lista posizione dei mms - - if final_result: #Se ho samples associati - #Calcola nuovo valori di mms - guide_no_pam = final_result[1][pos_beg:pos_end] - list_t = list(t) - #print("target",t, line[5]) - #print("guide",guide_no_pam) - for position_t, char_t in enumerate(t[pos_beg:pos_end]): - if char_t.upper() != guide_no_pam[position_t]: - mm_new_t += 1 - tmp_pos_mms = position_t - if guide_no_pam[position_t] != '-': - list_t[sum_for_mms + position_t] = char_t.lower() - final_result[2] = ''.join(list_t)#t - if tmp_pos_mms: - final_result.append(int(tmp_pos_mms)) - else: #NO mms found - final_result.append(-1) - - #Check for pam status - pam_ok = True - for pam_chr_pos, pam_chr in enumerate(t[pam_begin:pam_end]): - if pam_chr.upper() not in iupac_code_set[pam[pam_chr_pos]]: - pam_ok = False - #Se la scomposizione non rispetta il mms threshold, ma la pam è ok, magari può esistere un target nel cluster a cui questa scomposizione può andare bene - if allowed_mms < (mm_new_t - int(final_result[8])) and pam_ok: - # set_list2_for_targetscompostinonvalidi.append(set_list2) - target_scomposti_non_validi.append(final_result) - if not pam_ok or allowed_mms < (mm_new_t - int(final_result[8])): - false_targets += 1 - continue #Remove target since id does not respect PAM or mms constrains - - final_result[7] = str(mm_new_t - int(final_result[8])) - final_result[9] = str(mm_new_t) #total differences between targets and guide (mismatches + bulges) - if found_creation: - final_result[10] = t[pam_begin:pam_end] - target_scomposti_salvare.append(final_result) - - #Calcolo annotazioni - foundAnnotations = sorted(annotationsTree[int(line[4]):(int(line[4])+int(len(guide_no_bulge))+1)]) - string_annotation = [] - found_bool = False - for found in range(0, len(foundAnnotations)): - guide = foundAnnotations[found].data - guideSplit = guide.split('\t') - if(str(guideSplit[0]) == str(line[3])): - found_bool = True - string_annotation.append(str(guideSplit[1])) - if not found_bool: - last_annotation = 'n' - else: - last_annotation = ','.join(string_annotation) - - adjust_ref_position = True #almeno una volta nell'iterazione t in tartarget_scomposti_salvare o target_scomposti_non_validi, - #aggiorno la variabile ref_pos_alignement con la posizione corretta e il char ref da sostituire - ref_pos_alignement = [] #list of (pos, ref) for this cluster class - #analisi dei target esistenti per evitare poi fare tutte le scomposizioni se un target nel cluster è in questa stessa categoria - for t in target_scomposti_salvare: - last_samples.append(set(t[12].split(','))) - last_IDs.append(t[15]) - last_AF.append(t[16]) - last_SNPpos.append(t[17]) - #last_haplotype.append(t[18]) - pos_char_for_cluster.append([]) - original_targ_len = len(t[2]) - if t[0] == 'RNA': - gap_position = [g.start() for g in re.finditer('-', t[2])] #list of indices where '-' is located - idx_for_ref = 0 - for index_pos_snp, elem in enumerate(pos_snp): - add_to_count = 0 - add_blank = int(t[bulge_pos]) - if t[0] == 'RNA': - add_blank = 0 - for i in gap_position: - if not pam_at_beginning: #TODO try to remove the pam_at_beginning check to improve performances (it's done only on top1 so maybe it's ok) - if t[6]=='-': - if (original_targ_len - elem - 1) < i: - add_to_count += 1 - else: - if elem < i: - add_to_count += 1 - else: - if t[6]=='-': - if (original_targ_len - elem - 1) > i: - add_to_count -= 1 - else: - if elem > i: - add_to_count -= 1 - - if t[6]=='-': - pos_char_for_cluster[-1].append(((len(t[2]) - elem - 1) + add_to_count + (max_dna_bulges - int(add_blank) ) * pam_multiplier, t[2][(len(t[2]) - elem - 1)].upper())) - if adjust_ref_position: - ref_pos_alignement.append(((len(t[2]) - elem - 1) + add_to_count + (max_dna_bulges - int(add_blank) ) * pam_multiplier, substitute_ref[index_pos_snp] )) - else: - pos_char_for_cluster[-1].append((elem + add_to_count + (max_dna_bulges - int(add_blank) ) * pam_multiplier, t[2][elem].upper())) #save (position, character) of best scomposition - if adjust_ref_position: - ref_pos_alignement.append((elem + add_to_count + (max_dna_bulges - int(add_blank) ) * pam_multiplier, substitute_ref[idx_for_ref])) - idx_for_ref += 1 - adjust_ref_position = False - t[13] = last_annotation - cluster_to_save.append(t) - #Stessa cosa ma per i target che non hanno rispettato il mms threshold - for index_pos_snp, t in enumerate(target_scomposti_non_validi): - # sample_each_targ_combination.append(set_list2_for_targetscompostinonvalidi[pos]) - last_samples.append(set(t[12].split(','))) - last_IDs.append(t[15]) - last_AF.append(t[16]) - last_SNPpos.append(t[17]) - #last_haplotype.append(t[18]) - pos_char_for_cluster.append([]) - original_targ_len = len(t[2]) - if t[0] == 'RNA': - gap_position = [g.start() for g in re.finditer('-', t[2])] #list of indices where '-' is located - idx_for_ref = 0 - for elem in pos_snp: - add_to_count = 0 - add_blank = int(t[bulge_pos]) - if t[0] == 'RNA': - add_blank = 0 - for i in gap_position: - if not pam_at_beginning: #TODO try to remove the pam_at_beginning check to improve performances (it's done only on top1 so maybe it's ok) - if t[6]=='-': - if (original_targ_len - elem - 1) < i: - add_to_count += 1 - else: - if elem < i: - add_to_count += 1 - else: - if t[6]=='-': - if (original_targ_len - elem - 1) > i: - add_to_count -= 1 - else: - if elem > i: - add_to_count -= 1 - - if t[6]=='-': - pos_char_for_cluster[-1].append(((len(t[2]) - elem - 1) + add_to_count + (max_dna_bulges - int(add_blank) ) * pam_multiplier, t[2][(len(t[2]) - elem - 1)].upper())) - if adjust_ref_position: - ref_pos_alignement.append(((len(t[2]) - elem - 1) + add_to_count + (max_dna_bulges - int(add_blank) ) * pam_multiplier, substitute_ref[idx_for_ref] )) - else: - pos_char_for_cluster[-1].append((elem + add_to_count + (max_dna_bulges - int(add_blank) ) * pam_multiplier, t[2][elem].upper())) #save (position, character) of scomposition - if adjust_ref_position: - ref_pos_alignement.append((elem + add_to_count + (max_dna_bulges - int(add_blank) ) * pam_multiplier, substitute_ref[idx_for_ref])) - idx_for_ref += 1 - adjust_ref_position = False - if not tuple_var_ref: #Se il target è un reference, tutta l'analisi di prima non si fa - # target_scomposti_salvare.append(line) - line[13] = last_annotation - - - - mm_new_t = 0 - tmp_pos_mms = None #lista posizione dei mm - guide_no_pam = line[1][pos_beg:pos_end] - - for position_t, char_t in enumerate(t[pos_beg:pos_end]): - if char_t.upper() != guide_no_pam[position_t]: - mm_new_t += 1 - tmp_pos_mms = position_t - ##############pos mm da salvare - - if tmp_pos_mms: - line.append(int(tmp_pos_mms)) - else: #NO mms found - line.append(-1) - cluster_to_save.append(line) - # top1_ref = True - else: # at least one iupac - clusterkey = line[0] + line[8] - cluster_class[clusterkey] = dict() - cluster_class[clusterkey]['poscharforcluster'] = pos_char_for_cluster #aggiorno la categoria del target per i prossimi target - cluster_class[clusterkey]['lastsamples'] = last_samples - cluster_class[clusterkey]['lastID'] = last_IDs #ID - cluster_class[clusterkey]['lastAF'] = last_AF #AF (come last_samples) - cluster_class[clusterkey]['lastSNPpos'] = last_SNPpos - cluster_class[clusterkey]['ref_pos_alignement'] = ref_pos_alignement - #print(ref_pos_alignement) - #cluster_class[clusterkey]['lastHaplotype'] = last_haplotype - -#LAST CLUSTER -for t in cluster_to_save: - if t[0] == 'DNA': - cfd_score = calc_cfd(t[1][int(t[bulge_pos]):], t[2].upper()[int(t[bulge_pos]):-3], t[2].upper()[-2:], mm_scores, pam_scores) - t.append(str(cfd_score)) - else: - cfd_score = calc_cfd(t[1], t[2].upper()[:-3], t[2].upper()[-2:], mm_scores, pam_scores) - t.append(str(cfd_score)) - - -cluster_to_save.sort(key = lambda x : (float(x[-1]), reversor(int(x[9])), reversor(int(x[-2]))), reverse = True) - -cluster_to_save_mmbl = cluster_to_save.copy() -cluster_to_save_mmbl.sort(key = lambda x : (int(x[8]), int(x[7]))) - -keys_seen = [] -saved = False -""" -ref_this_clus = 'n' -for c in cluster_to_save: - if c[12] != 'n': - ref_generated = alignRefFromVar(c, cluster_class[c[0] + c[8]]['ref_pos_alignement']) - ref_this_clus = ref_generated[2] - cfd_ref = ref_generated[-1] - list_for_alt.append('\t'.join(c)+'\t'+ref_this_clus+'\t'+str(cfd_ref)) - break -""" -if cluster_to_save: - c = cluster_to_save[0] - - #if c[12] != 'n': #Calcola ref nello stesso allineamento del var - # ref_best_var = alignRefFromVar(c, cluster_class[c[0] + c[8]]['ref_pos_alignement']) #TODO salvare questa line sul file - - c.pop(-2) - cfd_clus_key = c[3] + " " + c[5] + " " + c[6] + " " + c[-2] - if c[12] == 'n': - cfd_for_graph['ref'][round(float(c[-1]) * 100)] += 1 - cfd_best.write('\t'.join(c)+'\tn\t'+str(c[-1])) - else: - cfd_for_graph['var'][round(float(c[-1]) * 100)] += 1 - ref_generated = alignRefFromVar(c, cluster_class[c[0] + c[8]]['ref_pos_alignement']) - ref_this_clus = ref_generated[2] - cfd_ref = ref_generated[-1] - cfd_best.write('\t'.join(c)+'\t'+ref_this_clus+'\t'+str(cfd_ref)) - cluster_to_save.pop(0) - keys_seen.append(cfd_clus_key) - saved = True - -list_for_alt = [] -for c in cluster_to_save: - c.pop(-2) - new_cfd_clus_key = c[3] + " " + c[5] + " " + c[6] + " " + c[-2] - if new_cfd_clus_key not in keys_seen: - keys_seen.append(new_cfd_clus_key) - if c[12] == 'n': - cfd_for_graph['ref'][round(float(c[-1]) * 100)] += 1 - #cfd_alt.write('\t'.join(c)+'\tn\n') - list_for_alt.append('\t'.join(c)+'\tn\t'+str(c[-1])) - else: - cfd_for_graph['var'][round(float(c[-1]) * 100)] += 1 - ref_generated = alignRefFromVar(c, cluster_class[c[0] + c[8]]['ref_pos_alignement']) - ref_this_clus = ref_generated[2] - cfd_ref = ref_generated[-1] - list_for_alt.append('\t'.join(c)+'\t'+ref_this_clus+'\t'+str(cfd_ref)) -if saved: - cfd_best.write('\t' + str(len(list_for_alt))+ '\n') - -for ele in list_for_alt: - cfd_alt.write(ele+'\t'+str(len(list_for_alt))+'\n') - -keys_seen = [] -saved = False -if cluster_to_save_mmbl: - c = cluster_to_save_mmbl[0] - - - #if c[12] != 'n': #Calcola ref nello stesso allineamento del var - # ref_best_var = alignRefFromVar(c, cluster_class[c[0] + c[8]]['ref_pos_alignement']) #TODO salvare questa line sul file - - #c.pop(-2) - best_seq = c[12] - cfd_clus_key = c[3] + " " + c[5] + " " + c[6] + " " + c[-2] - - if c[12] == 'n': - #cfd_for_graph['ref'][round(float(c[-1]) * 100)] += 1 - mmblg_best.write('\t'.join(c)+'\tn\t'+str(c[-1])) - else: - #cfd_for_graph['var'][round(float(c[-1]) * 100)] += 1 - ref_generated = alignRefFromVar(c, cluster_class[c[0] + c[8]]['ref_pos_alignement']) - ref_this_clus = ref_generated[2] - cfd_ref = ref_generated[-1] - mmblg_best.write('\t'.join(c)+'\t'+ref_this_clus+'\t'+str(cfd_ref)) - cluster_to_save_mmbl.pop(0) - keys_seen.append(cfd_clus_key) - saved = True - -list_for_alt = [] -for c in cluster_to_save_mmbl: - #c.pop(-2) - new_cfd_clus_key = c[3] + " " + c[5] + " " + c[6] + " " + c[-2] - if new_cfd_clus_key not in keys_seen: - keys_seen.append(new_cfd_clus_key) - if c[12] == 'n': - #cfd_for_graph['ref'][round(float(c[-1]) * 100)] += 1 - #cfd_alt.write('\t'.join(c)+'\tn\n') - list_for_alt.append('\t'.join(c)+'\tn\t'+str(c[-1])) - else: - #cfd_for_graph['var'][round(float(c[-1]) * 100)] += 1 - #cfd_alt.write('\t'.join(c)+'\t'+ref_this_clus+'\n') - ref_generated = alignRefFromVar(c, cluster_class[c[0] + c[8]]['ref_pos_alignement']) - ref_this_clus = ref_generated[2] - cfd_ref = ref_generated[-1] - list_for_alt.append('\t'.join(c)+'\t'+ref_this_clus+'\t'+str(cfd_ref)) -if saved: - mmblg_best.write('\t' + str(len(list_for_alt))+ '\n') -for ele in list_for_alt: - mmblg_alt.write(ele+'\t'+str(len(list_for_alt))+ '\n') - - - -cfd_best.close() -cfd_alt.close() -mmblg_best.close() -mmblg_alt.close() - -os.system("sed -i '1s/.*/#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster_Position\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tVar_uniq\tSamples\tAnnotation_Type\tReal_Guide\trsID\tAF\tSNP\tCFD\tReference\tCFD_ref\t#Seq_in_cluster/' "+outputFile + '.bestCFD.txt') -os.system("sed -i '1s/.*/#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster_Position\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tVar_uniq\tSamples\tAnnotation_Type\tReal_Guide\trsID\tAF\tSNP\tCFD\tReference\tCFD_ref\t#Seq_in_cluster/' "+outputFile + '.altCFD.txt') - -os.system("sed -i '1s/.*/#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster_Position\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tVar_uniq\tSamples\tAnnotation_Type\tReal_Guide\trsID\tAF\tSNP\tCFD\tReference\tCFD_ref\t#Seq_in_cluster/' "+outputFile + '.bestmmblg.txt') -os.system("sed -i '1s/.*/#Bulge_type\tcrRNA\tDNA\tChromosome\tPosition\tCluster_Position\tDirection\tMismatches\tBulge_Size\tTotal\tPAM_gen\tVar_uniq\tSamples\tAnnotation_Type\tReal_Guide\trsID\tAF\tSNP\tCFD\tReference\tCFD_ref\t#Seq_in_cluster/' "+outputFile + '.altmmblg.txt') - - -#Save dataframe for graph -cfd_dataframe = pd.DataFrame.from_dict(cfd_for_graph) -cfd_dataframe.to_csv(outputFile + '.CFDGraph.txt', sep = '\t', index = False) -print('Done', current_chr, time.time() - start_time) - -print('ANALYSIS COMPLETE IN', time.time() - global_start) - - \ No newline at end of file diff --git a/auto_search_corrected/supportFunctions/__init__.py b/auto_search_corrected/supportFunctions/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/auto_search_corrected/supportFunctions/__pycache__/__init__.cpython-36.pyc b/auto_search_corrected/supportFunctions/__pycache__/__init__.cpython-36.pyc deleted file mode 100644 index d726959..0000000 Binary files a/auto_search_corrected/supportFunctions/__pycache__/__init__.cpython-36.pyc and /dev/null differ diff --git a/auto_search_corrected/supportFunctions/__pycache__/__init__.cpython-38.pyc b/auto_search_corrected/supportFunctions/__pycache__/__init__.cpython-38.pyc deleted file mode 100644 index 4bca306..0000000 Binary files a/auto_search_corrected/supportFunctions/__pycache__/__init__.cpython-38.pyc and /dev/null differ diff --git a/auto_search_corrected/supportFunctions/dictionaryIndel/dictionary_creation_indels.py b/auto_search_corrected/supportFunctions/dictionaryIndel/dictionary_creation_indels.py deleted file mode 100644 index da86fa8..0000000 --- a/auto_search_corrected/supportFunctions/dictionaryIndel/dictionary_creation_indels.py +++ /dev/null @@ -1,85 +0,0 @@ -''' -Creation of dictionaries for single sample indels. Takes in input a chromosome and a sample id, and selects the variants -only from that sample. The position written in the dictionary is adjusted accordingly to the addition or removal of nucleotides. -The name of the fasta file and the name in the #CHROM column MUST be the same. -Use http://ftp.1000genomes.ebi.ac.uk/vol1/ftp/data_collections/1000_genomes_project/release/20181203_biallelic_SNV/ as vcf reference -WARNING! About 20 minutes per vcf file, for a total of 80GB of disk space -''' -# argv 1 is All.chrX.gzip, the vcf file -# argv 2 is selected sample -# argv 3 is directory to save the dictionary - -import gzip -import sys -import json -import time - -vcf_file = sys.argv[1] -chr_name = vcf_file.split('.') -for i in chr_name: - if 'chr' in i: - chr_name = i - break -selected_sample = sys.argv[2] -save_directory = sys.argv[3] - -dictionary_dict = dict() -start_time = time.time() -add_to_name = '' #string to add to the chr number, eg in VCF hg38 -> is already chr1, so add_to_name is ''; - #VCF hg19 -> is 1, so add_to_name is 'chr' -offset = 0 #Sum this value to the position of the variant ad adjust this value for every indel found -with gzip.open(sys.argv[1], 'rb') as targets: - for line in targets: - line = line.decode('ascii') - if ('#CHROM') in line: - column_vcf = line.strip().split('\t') - sample_header_pos = column_vcf.index(selected_sample) - break - - first_line = next(targets).decode('ascii').strip().split('\t') - if 'chr' not in first_line[0]: - add_to_name = 'chr' - list_samples = [] - list_chars = [] - - hap = first_line[sample_header_pos].split('|') - for h in hap: #NOTE posso avere anche 2|1 #TODO da finire - if '0' == h: - continue - variant_of_sample = int(h) - 1 #If in VAR i have TT,TTA,TTT and in sample 0|2, the variant is TTA - list_samples.append(selected_sample) - offset = offset + len(line[3]) - len(line[4].split(',')[variant_of_sample]) - if len(line[3]) != 1 or len(line[4].split(',')[variant_of_sample]) != 1: #Save only the SNP - break - chr_pos_key = add_to_name + line[0] + ',' + str(offset + int(line[1])) - #Add in last two position the ref and alt nucleotide, eg: chrX,100 -> sample1,sample5,sample10;A,T - #If no sample was found, the dict is chrX,100 -> ;A,T - list_chars.append(line[3]) #REF char - list_chars.append(line[4].split(',')[variant_of_sample]) #VAR char - try: - dictionary_dict[chr_pos_key] = ','.join(list_samples) + ';' + ','.join(list_chars) - except: - dictionary_dict[chr_pos_key] = ';' + ','.join(list_chars) #None - - for line in targets: #Save CHROM [0], POS[1], REF [3], ALT [4], List of Samples [9:] - line = line.decode('ascii').strip().split('\t') - list_samples = [] - list_chars = [] - if ('1' in first_line[sample_header_pos]): - list_samples.append(selected_sample) - else: #This variant is not found in the selected sample - continue - chr_pos_key = add_to_name + line[0] + ',' + line[1] - #Add in last two position the ref and alt nucleotide, eg: chrX,100 -> sample1,sample5,sample10;A,T - #If no sample was found, the dict is chrX,100 -> ;A,T - list_chars.append(line[3]) - list_chars.append(line[4]) - try: - dictionary_dict[chr_pos_key] = ','.join(list_samples) + ';' + ','.join(list_chars) - except: - dictionary_dict[chr_pos_key] = ';' + ','.join(list_chars) #None - #result.write(line[0] + '\t' + line[1] + '\t' + line[3] + '\t' + line[4] + '\t' + ','.join(list_samples) + '\n') - -with open(save_directory + '_' + selected_sample + '/my_dict_' + chr_name + '.json', 'w') as f: - json.dump(dictionary_dict, f) -print('Created ' + 'my_dict_' + chr_name + '.json for sample ' + selected_sample + ' in', time.time() - start_time) \ No newline at end of file diff --git a/auto_search_corrected/supportFunctions/loadSample/__init__.py b/auto_search_corrected/supportFunctions/loadSample/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/auto_search_corrected/supportFunctions/loadSample/__pycache__/__init__.cpython-36.pyc b/auto_search_corrected/supportFunctions/loadSample/__pycache__/__init__.cpython-36.pyc deleted file mode 100644 index bcc0292..0000000 Binary files a/auto_search_corrected/supportFunctions/loadSample/__pycache__/__init__.cpython-36.pyc and /dev/null differ diff --git a/auto_search_corrected/supportFunctions/loadSample/__pycache__/__init__.cpython-38.pyc b/auto_search_corrected/supportFunctions/loadSample/__pycache__/__init__.cpython-38.pyc deleted file mode 100644 index 6741b99..0000000 Binary files a/auto_search_corrected/supportFunctions/loadSample/__pycache__/__init__.cpython-38.pyc and /dev/null differ diff --git a/auto_search_corrected/supportFunctions/loadSample/__pycache__/associateSample.cpython-36.pyc b/auto_search_corrected/supportFunctions/loadSample/__pycache__/associateSample.cpython-36.pyc deleted file mode 100644 index 3f41453..0000000 Binary files a/auto_search_corrected/supportFunctions/loadSample/__pycache__/associateSample.cpython-36.pyc and /dev/null differ diff --git a/auto_search_corrected/supportFunctions/loadSample/__pycache__/associateSample.cpython-38.pyc b/auto_search_corrected/supportFunctions/loadSample/__pycache__/associateSample.cpython-38.pyc deleted file mode 100644 index 1e3907c..0000000 Binary files a/auto_search_corrected/supportFunctions/loadSample/__pycache__/associateSample.cpython-38.pyc and /dev/null differ diff --git a/auto_search_corrected/supportFunctions/loadSample/associateSample.py b/auto_search_corrected/supportFunctions/loadSample/associateSample.py deleted file mode 100644 index a597237..0000000 --- a/auto_search_corrected/supportFunctions/loadSample/associateSample.py +++ /dev/null @@ -1,98 +0,0 @@ -''' -Script that loads the association -SAMPLE -> POPULATION -> SUPERPOPULATION -and -SUPERPOPULATION -> LIST OF POPULATION ; POPULATION -> LIST OF SAMPLE -Also return list of all samples, all population, all superpopulations -for the given input file. The input file is a txt file with four columns, separated by a tabulation, where the first column -represents the sample ID, the second column the associated Population ID, the third column the SUuperpopulation ID, and the last column the -sample Gender (if last column is not available, 'n/a' is written). -The script returns a dictionary sample_to_pop, pop_to_superpop, superpop_to_pop, pop_to_sample, and the lists -all_samples, all_pop, all_superpop and list_gender or -None * 8 if input file does not exists or is in incorrect format -''' -import sys -import os -from os.path import isfile, isdir,join - -#argv 1 is input .txt, consisting of 3 columns for sample, population and superpopulation - -def loadSampleAssociation(id_sample_file): - ''' - Given in input a file, it checks for structure correctness and returns 4 dictionaries, 4 lists, 1 dictionary: - - SAMPLE -> POPULATION - - POPULATION -> SUPERPOPULATION - - SUPERPOPULATION -> LIST OF POPULATIONS - - POPULATIONS -> LIST OF SAMPLES - - ALL SAMPLES - - ALL POPULATIONS - - ALL SUPERPOPULATIONS - - SAMPLE -> GENDER - ''' - if not isfile(id_sample_file): - print('Warning! Input file does not exists') - return None, None - - sample_to_pop = dict() - pop_to_superpop = dict() - superpop_to_pop = dict() #For each superpopulation returns list of population - pop_to_sample = dict() #For each population return list of sample - all_samples = set() - all_pop= set() - all_superpop = set() - gender_sample = dict() - with open (id_sample_file) as in_file: - #Check correct format of file - line = next(in_file) - if '#' in line: - line = next(in_file) #Skip header - - line = line.strip().split('\t') - - if len(line) < 3: - print('Warning! The input file is not correctly formatted. Please provide a .txt with a column with SAMPLE_ID, POPULATION_ID, SUPERPOPULATION_ID, GENDER (Optional)') - return None, None, None, None, None, None, None, None - #Add info of first line - sample_to_pop[line[0]] = line[1] - pop_to_superpop[line[1]] = line[2] - - superpop_to_pop[line[2]] = [line[1]] - pop_to_sample[line[1]] = line[0] - - all_samples.add(line[0]) - all_pop.add(line[1]) - all_superpop.add(line[2]) - - try: - gender_sample[line[0]] = line[3] - except: - gender_sample[line[0]] = 'n/a' - - for line in in_file: - line = line.strip().split('\t') - sample_to_pop[line[0]] = line[1] - pop_to_superpop[line[1]] = line[2] - - try: - superpop_to_pop[line[2]].add(line[1]) - except : - superpop_to_pop[line[2]] = set() - superpop_to_pop[line[2]].add(line[1]) - try: - pop_to_sample[line[1]].add(line[0]) - except: - pop_to_sample[line[1]] = set() - pop_to_sample[line[1]].add(line[0]) - - all_samples.add(line[0]) - all_pop.add(line[1]) - all_superpop.add(line[2]) - - try: - gender_sample[line[0]] = line[3] - except: - gender_sample[line[0]] = 'n/a' - return sample_to_pop, pop_to_superpop, superpop_to_pop, pop_to_sample, list(all_samples), list(all_pop), list(all_superpop), gender_sample - -if __name__ == '__main__': - loadSampleAssociation(sys.argv[1])