From ffc6ba3fff3da8717d5f95bf86d71fc61405110e Mon Sep 17 00:00:00 2001 From: HUANG Weitai Date: Tue, 25 Jul 2017 14:54:53 +0800 Subject: [PATCH] SMuRFv1.1 --- Readme.Rmd | 54 +- smurf/NAMESPACE | 6 + smurf/R/indelRFparse.R | 39 +- smurf/R/indelRFparseall.R | 224 - smurf/R/parsevcf.R | 8 +- smurf/R/parsevcfall.R | 57 - smurf/R/smurf.R | 34 +- smurf/R/snvRFparse.R | 53 +- smurf/R/snvRFparseall.R | 218 - smurf/data/indel-model-combined-grid | Bin 197632 -> 171845 bytes smurf/data/snv-model-combined-grid | Bin 423025 -> 306938 bytes smurf/man/parsevcf.Rd | 2 +- smurf/man/smurf.Rd | 2 +- smurf/smurf.Rproj | 16 - test/results/indel-parse.txt | 1577 ++-- test/results/indel-predicted.txt | 4 +- test/results/indel-stats.txt | 8 +- test/results/snv-parse.txt | 11386 +++++++++++++------------ test/results/snv-predicted.txt | 413 +- test/results/snv-stats.txt | 12 +- 20 files changed, 7040 insertions(+), 7073 deletions(-) delete mode 100644 smurf/R/indelRFparseall.R delete mode 100644 smurf/R/parsevcfall.R delete mode 100644 smurf/R/snvRFparseall.R delete mode 100644 smurf/smurf.Rproj diff --git a/Readme.Rmd b/Readme.Rmd index 066a948..e01b35f 100644 --- a/Readme.Rmd +++ b/Readme.Rmd @@ -63,9 +63,9 @@ myresults$smurf_indel$stats_indel #Mutect2 383 #FreeBayes 85 #VarDict 166 -#VarScan 158 -#Atleast1 765 -#Atleast2 25 +#VarScan 208 +#Atleast1 810 +#Atleast2 30 #Atleast3 2 #All4 0 #SMuRF_INDEL 1 @@ -73,36 +73,30 @@ myresults$smurf_indel$stats_indel myresults$smurf_indel$predicted_indel #Chr START_POS_REF END_POS_REF REF_MFVdVs ALT_MFVdVs SMuRF_score -#1 "1" "17820432" "17820433" "AT/AT/AT/AT" "A/A/A/A" "0.571875" +#1 "1" "17820432" "17820433" "AT/AT/AT/AT" "A/A/A/A" "0.6210418" myresults$smurf_snv$stats_snv -# Passed_Calls -#Mutect2 5004 -#FreeBayes 115 -#VarDict 124 -#VarScan 501 -#Atleast1 5684 -#Atleast2 42 -#Atleast3 16 -#All4 2 -#SMuRF_SNV 12 - -myresults$smurf_snv$predicted_snv - -#Chr START_POS_REF END_POS_REF REF_MFVdVs ALT_MFVdVs TRUTH_confidence -#1 "1" "12207135" "12207135" "G/G/G/G" "A/A/A/A" "0.9941938" -#2 "1" "14955425" "14955425" "C/C/C/C" "A/A/A/A" "0.9025974" -#3 "1" "18525077" "18525077" "G/G/G/G" "A/A/A/A" "0.9972492" -#4 "1" "21459584" "21459584" "T/T/T/T" "A/A/A/A" "0.9919866" -#5 "1" " 2180985" " 2180985" "A/A/A/A" "G/G/G/G" "0.9992510" -#6 "1" "22385823" "22385823" "A/A/A/A" "G/G/G/G" "0.6207352" -#7 "1" "25322776" "25322776" "C/C/NA/C" "T/T/NA/T" "0.8995001" -#8 "1" "28317030" "28317030" "G/NA/G/G" "T/NA/T/T" "0.8962453" -#9 "1" " 5035185" " 5035185" "C/C/C/C" "T/T/T/T" "0.9321060" -#10 "1" " 8881322" " 8881322" "G/G/G/G" "A/A/A/A" "0.9116895" -#11 "1" " 8929624" " 8929624" "A/A/A/A" "G/G/G/G" "0.8765643" -#12 "1" " 9478609" " 9478609" "A/A/A/A" "G/G/G/G" "0.5984848" +# Passed_Calls +#Mutect2 5004 +#FreeBayes 115 +#VarDict 124 +#VarScan 535 +#Atleast1 5700 +#Atleast2 49 +#Atleast3 19 +#All4 10 +#SMuRF_SNV 399 + +head(myresults$smurf_snv$predicted_snv) + +#Chr START_POS_REF END_POS_REF REF_MFVdVs ALT_MFVdVs SMuRF_score +#1 "1" "100080141" "100080141" "T/NA/NA/NA" "A/NA/NA/NA" "0.5449806" +#2 "1" "100418794" "100418794" "G/NA/NA/NA" "T/NA/NA/NA" "0.4698960" +#3 "1" "100444255" "100444255" "A/NA/NA/NA" "T/NA/NA/NA" "0.4725965" +#4 "1" "100470006" "100470006" "C/NA/NA/NA" "A/NA/NA/NA" "0.4074448" +#5 "1" "100494646" "100494646" "G/NA/NA/NA" "T/NA/NA/NA" "0.3901333" +#6 "1" "100997475" "100997475" "C/NA/NA/NA" "A/NA/NA/NA" "0.4804897" ``` diff --git a/smurf/NAMESPACE b/smurf/NAMESPACE index c42da3b..5e42a5a 100644 --- a/smurf/NAMESPACE +++ b/smurf/NAMESPACE @@ -1,6 +1,12 @@ # Generated by roxygen2: do not edit by hand export(indelRFparse) +export(indelRFparseall) +export(indelRFparsefeatures) export(parsevcf) +export(parsevcfall) +export(parsevcffeatures) export(smurf) export(snvRFparse) +export(snvRFparseall) +export(snvRFparsefeatures) diff --git a/smurf/R/indelRFparse.R b/smurf/R/indelRFparse.R index 0199025..c7d163e 100644 --- a/smurf/R/indelRFparse.R +++ b/smurf/R/indelRFparse.R @@ -42,9 +42,9 @@ indelRFparse = function(a){ colnames(varscan)<-c("X.CHROM", "POS", "END_POS_Varscan", "REF_Varscan", "ALT_Varscan", "vs_SSC","vs_SPV") vardict<-as.data.frame(a[[7]][!isSNV(a[[7]], singleAltOnly=FALSE)],row.names=NULL) - vardict<-vardict[,c("seqnames","start","end", "ref", "alt", "SSF","MSI")] + vardict<-vardict[,c("seqnames","start","end", "ref", "alt", "SSF","MSI","SOR")] vardict<-vardict[grep("GL*", vardict$seqnames, invert=TRUE),] - colnames(vardict)<-c("X.CHROM", "POS", "END_POS_Vardict", "REF_Vardict", "ALT_Vardict", "vd_SSF","vd_MSI") + colnames(vardict)<-c("X.CHROM", "POS", "END_POS_Vardict", "REF_Vardict", "ALT_Vardict", "vd_SSF","vd_MSI","vd_SOR") #Filtering Indels from collapsed vcf mutect_Indel<-a[[2]][!isSNV(a[[2]], singleAltOnly=FALSE)] @@ -67,7 +67,9 @@ indelRFparse = function(a){ colnames(freebayes_coordinates)[1:2]<-c("X.CHROM", "POS") freebayes_coordinates<-freebayes_coordinates[grep("GL*", freebayes_coordinates$X.CHROM, invert = TRUE),] - varscan_clean_Indel<-rowRanges(varscan_Indel[varscan_Indel@fixed$FILTER=="PASS",])[,1] + #we are including the SpvFreq as PASSED calls + varscan_clean_Indel<-rowRanges(varscan_Indel[varscan_Indel@fixed$FILTER=="PASS" | varscan_Indel@fixed$FILTER=="SpvFreq",])[,1] + #varscan_clean_Indel<-rowRanges(varscan_Indel[varscan_Indel@fixed$FILTER=="PASS",])[,1] varscan_coordinates<-as.data.frame(unlist(varscan_clean_Indel),row.names=NULL) varscan_coordinates<-varscan_coordinates[1:2] varscan_coordinates$FILTER_Varscan<-"PASS" @@ -88,9 +90,15 @@ indelRFparse = function(a){ coordinates<-unique(coordinates) #Pulling out calls from VRanges object for each caller using coordinates + m2<-dim(mutect)[2] mutect<-merge(mutect, coordinates, by=c("X.CHROM", "POS"), all.y=TRUE, sort=TRUE) mutect<-unique(mutect) - mutect<-mutect[,1:(dim(mutect)[2]-3)] + M_2<-which( colnames(mutect)=="FILTER_Mutect2" ) + mutect<-mutect[,c(1:m2,M_2)] + + # mutect<-merge(mutect, coordinates, by=c("X.CHROM", "POS"), all.y=TRUE, sort=TRUE) + # mutect<-unique(mutect) + # mutect<-mutect[,1:(dim(mutect)[2]-3)] fb<-dim(freebayes)[2] freebayes<-merge(freebayes, coordinates, by=c("X.CHROM", "POS"), all.y=TRUE, sort=TRUE) @@ -128,16 +136,16 @@ indelRFparse = function(a){ final<-final[,c("X.CHROM", "POS", "END_POS", "REF", "ALT", "FILTER_Mutect2", "FILTER_Freebayes", "FILTER_Vardict", "FILTER_Varscan", "m2_MQ","m2_MQRankSum","m2_NLOD","m2_TLOD", "f_LEN", - "vs_SSC","vs_SPV","vd_SSF","vd_MSI")] + "vs_SSC","vs_SPV","vd_SSF","vd_MSI","vd_SOR")] colnames(final)<-c("X.CHROM", "START_POS_REF", "END_POS_REF", "REF_MFVdVs", "ALT_MFVdVs", "FILTER_Mutect2", "FILTER_Freebayes", "FILTER_Vardict", "FILTER_Varscan", "m2_MQ","m2_MQRankSum","m2_NLOD","m2_TLOD", "f_LEN", - "vs_SSC","vs_SPV","vd_SSF","vd_MSI") + "vs_SSC","vs_SPV","vd_SSF","vd_MSI","vd_SOR") #Removing Duplicates for(i in c("m2_MQ","m2_MQRankSum","m2_NLOD","m2_TLOD", "f_LEN", - "vs_SSC","vs_SPV","vd_SSF","vd_MSI")) + "vs_SSC","vs_SPV","vd_SSF","vd_MSI", "vd_SOR")) { final[,i]<-as.numeric(final[,i]) } @@ -153,14 +161,18 @@ indelRFparse = function(a){ final[,i] <- as.logical(final[,i]) } + final$vd_SOR[which(is.infinite(final$vd_SOR)==TRUE)] <- 0 + indel_parse <- final print("Predicting INDELs") df <- final[,c("X.CHROM","START_POS_REF","FILTER_Mutect2","FILTER_Freebayes","FILTER_Vardict","FILTER_Varscan", - "m2_MQ","m2_MQRankSum","m2_NLOD","m2_TLOD","f_LEN","vs_SSC","vs_SPV","vd_SSF","vd_MSI")] - write.csv(df, 'indel_parse.csv',row.names = F) - df <- h2o.importFile(path = normalizePath("indel_parse.csv"),header=T) + "m2_MQ","m2_MQRankSum","m2_NLOD","m2_TLOD","f_LEN","vs_SSC","vs_SPV","vd_SSF","vd_MSI","vd_SOR")] + df <- as.h2o(df) + + # write.csv(df, 'indel_parse.csv',row.names = F) + # df <- h2o.importFile(path = normalizePath("indel_parse.csv"),header=T) smurfdir <- find.package("smurf") smurfmodeldir <- paste0(smurfdir, "/data/indel-model-combined-grid") @@ -168,11 +180,10 @@ indelRFparse = function(a){ #indel_model <- h2o.loadModel(path = "/home/huangwt/R/x86_64-pc-linux-gnu-library/3.3/smbio/data/indel_model-combined-0205") #indel_model <- h2o.loadModel(path = "D:/Users/Tyler/Dropbox/Scripts/Real-v3/Results-Indels-v3/indel_model-combined-0205") - #indel_model <- h2o.loadModel(path = "C:/Users/Tyler/Dropbox/Scripts/smurf/smurf1.0/data/indel-model-combined-grid") + #indel_model <- h2o.loadModel(path = "D:/Users/Tyler/Dropbox/SMuRFv1.1/smurf/data/indel-model-combined-grid") predicted <- h2o.predict(object = indel_model, newdata = df) - - suppressMessages(file.remove("indel_parse.csv")) + #suppressMessages(file.remove("indel_parse.csv")) p <- as.data.frame(predicted) table <- final @@ -198,7 +209,7 @@ indelRFparse = function(a){ colnames(stats) <- c("Passed_Calls") rownames(stats) <- c("Mutect2", "FreeBayes", "VarDict", "VarScan", "Atleast1", "Atleast2", "Atleast3", "All4", "SMuRF_INDEL") - counts <- apply(table[, c(6,7,8,9)], 1, function(x) length(which(x=="TRUE"))) + counts <- apply(table[, c("FILTER_Mutect2","FILTER_Freebayes","FILTER_Vardict","FILTER_Varscan")], 1, function(x) length(which(x=="TRUE"))) stats$Passed_Calls[1] <- length(which((table$FILTER_Mutect2==TRUE))) stats$Passed_Calls[2] <- length(which((table$FILTER_Freebayes==TRUE))) diff --git a/smurf/R/indelRFparseall.R b/smurf/R/indelRFparseall.R deleted file mode 100644 index 6309497..0000000 --- a/smurf/R/indelRFparseall.R +++ /dev/null @@ -1,224 +0,0 @@ -#' indelRF-Parse -#' -#' Indel prediction model -#' Step 1 Parse -#' -#' -#' @examples -#' -#' -#' @export -indelRFparseall = function(a){ - - print("indelRF Parsing") - - #Filtering Indels from VRanges object - mutect<-as.data.frame(a[[1]][!isSNV(a[[1]], singleAltOnly=FALSE)],row.names=NULL) - #mutect<-mutect[mutect$sampleNames == samples(header(a[[2]]))[1],] - mutect<-mutect[,c("seqnames","start","end", "ref", "alt", "BaseQRankSum","ClippingRankSum","FS","HCNT","MQ","MQRankSum","NLOD","ReadPosRankSum","TLOD")] - mutect<-mutect[grep("GL*", mutect$seqnames, invert=TRUE),] - colnames(mutect)<-c("X.CHROM", "POS", "END_POS_Mutect2", "REF_Mutect2", "ALT_Mutect2", "m2_BaseQRankSum","m2_ClippingRankSum","m2_FS","m2_HCNT","m2_MQ","m2_MQRankSum","m2_NLOD","m2_ReadPosRankSum","m2_TLOD") - - freebayes<-as.data.frame(a[[3]][!isSNV(a[[3]], singleAltOnly=FALSE)],row.names=NULL) - freebayes<-freebayes[,c("seqnames","start","end", "ref", "alt", "AB","ABP","EPP","EPPR","GTI","LEN","MQM","MQMR","NS","NUMALT","ODDS","PAIRED","PAIREDR","RPP","SAP","SRP")] - freebayes<-freebayes[grep("GL*", freebayes$seqnames, invert=TRUE),] - #freebayes_GQT<-freebayes[freebayes$sampleNames == samples(header(a[[2]]))[1],] #[1] for tumor - #freebayes_GQT<-freebayes_GQT[,c("seqnames","start","end", "ref", "alt","QUAL","GQ")] - #colnames(freebayes_GQT)<-c("X.CHROM", "POS", "END_POS_Freebayes", "REF_Freebayes", "ALT_Freebayes","QUAL","GQ-T") - #freebayes_GQN<-freebayes[freebayes$sampleNames == samples(header(a[[2]]))[2],] - #freebayes_GQN<-freebayes_GQN[,c("sampleNames","GQ")] - #colnames(freebayes_GQN)<-c("sampleNames","GQ-N") - #freebayes<-cbind(freebayes_GQT, freebayes_GQN) - #freebayes_GQN<-freebayes[freebayes$sampleNames == samples(header(a[[2]]))[2],] #[2] for normal - #freebayes_GQN<-freebayes_GQN[,c("seqnames","start","end", "ref", "alt","QUAL","GQ")] - #colnames(freebayes_GQN)<-c("X.CHROM", "POS", "END_POS_Freebayes", "REF_Freebayes", "ALT_Freebayes","GQ-N") - #freebayes <- freebayes_GQN - #freebayes<-freebayes[,c("X.CHROM", "POS", "END_POS_Freebayes", "REF_Freebayes", "ALT_Freebayes")] - colnames(freebayes)<-c("X.CHROM", "POS", "END_POS_Freebayes", "REF_Freebayes", "ALT_Freebayes","f_AB","f_ABP","f_EPP","f_EPPR","f_GTI","f_LEN","f_MQM","f_MQMR","f_NS","f_NUMALT","f_ODDS","f_PAIRED","f_PAIREDR","f_RPP","f_SAP","f_SRP") - - varscan<-as.data.frame(a[[5]][!isSNV(a[[5]], singleAltOnly=FALSE)],row.names=NULL) - varscan<-varscan[,c("seqnames","start","end", "ref", "alt", "SSC","GPV","SS","SPV")] - varscan<-varscan[grep("GL*", varscan$seqnames, invert=TRUE),] - colnames(varscan)<-c("X.CHROM", "POS", "END_POS_Varscan", "REF_Varscan", "ALT_Varscan", "vs_SSC","vs_GPV","vs_SS","vs_SPV") - - vardict<-as.data.frame(a[[7]][!isSNV(a[[7]], singleAltOnly=FALSE)],row.names=NULL) - vardict<-vardict[,c("seqnames","start","end", "ref", "alt", "SSF","MSI","SOR")] - vardict<-vardict[grep("GL*", vardict$seqnames, invert=TRUE),] - colnames(vardict)<-c("X.CHROM", "POS", "END_POS_Vardict", "REF_Vardict", "ALT_Vardict", "vd_SSF","vd_MSI","vd_SOR") - - - #### Coding annotation #### - - #Filtering Indels from VRanges object - mutect_cds<-as.data.frame(a[[9]][!isSNV(a[[9]], singleAltOnly=FALSE)],row.names=NULL) - mutect_cds<-mutect_cds[,c("seqnames","start","end", "ref", "alt", "BaseQRankSum","ClippingRankSum","FS","HCNT","MQ","MQRankSum","NLOD","ReadPosRankSum","TLOD")] - mutect_cds<-mutect_cds[grep("GL*", mutect_cds$seqnames, invert=TRUE),] - colnames(mutect_cds)<-c("X.CHROM", "POS", "END_POS_Mutect2", "REF_Mutect2", "ALT_Mutect2", "m2_BaseQRankSum","m2_ClippingRankSum","m2_FS","m2_HCNT","m2_MQ","m2_MQRankSum","m2_NLOD","m2_ReadPosRankSum","m2_TLOD") - - freebayes_cds<-as.data.frame(a[[11]][!isSNV(a[[11]], singleAltOnly=FALSE)],row.names=NULL) - freebayes_cds<-freebayes_cds[,c("seqnames","start","end", "ref", "alt", "AB","ABP","EPP","EPPR","GTI","LEN","MQM","MQMR","NS","NUMALT","ODDS","PAIRED","PAIREDR","RPP","SAP","SRP")] - freebayes_cds<-freebayes_cds[grep("GL*", freebayes_cds$seqnames, invert=TRUE),] - colnames(freebayes_cds)<-c("X.CHROM", "POS", "END_POS_Freebayes", "REF_Freebayes", "ALT_Freebayes","f_AB","f_ABP","f_EPP","f_EPPR","f_GTI","f_LEN","f_MQM","f_MQMR","f_NS","f_NUMALT","f_ODDS","f_PAIRED","f_PAIREDR","f_RPP","f_SAP","f_SRP") - - varscan_cds<-as.data.frame(a[[13]][!isSNV(a[[13]], singleAltOnly=FALSE)],row.names=NULL) - varscan_cds<-varscan_cds[,c("seqnames","start","end", "ref", "alt", "SSC","GPV","SS","SPV")] - varscan_cds<-varscan_cds[grep("GL*", varscan_cds$seqnames, invert=TRUE),] - colnames(varscan_cds)<-c("X.CHROM", "POS", "END_POS_Varscan", "REF_Varscan", "ALT_Varscan", "vs_SSC","vs_GPV","vs_SS","vs_SPV") - - vardict_cds<-as.data.frame(a[[15]][!isSNV(a[[15]], singleAltOnly=FALSE)],row.names=NULL) - vardict_cds<-vardict_cds[,c("seqnames","start","end", "ref", "alt", "SSF","MSI","SOR")] - vardict_cds<-vardict_cds[grep("GL*", vardict_cds$seqnames, invert=TRUE),] - colnames(vardict_cds)<-c("X.CHROM", "POS", "END_POS_Vardict", "REF_Vardict", "ALT_Vardict", "vd_SSF","vd_MSI","vd_SOR") - - #assign column and then merge with original - mutect_cds$Region <- "CDS" - mutect_cds <- mutect_cds[,c(1,2,dim(mutect_cds)[2])] - mutect_cds <- unique(mutect_cds) - mutect<-merge(mutect, mutect_cds, by=c("X.CHROM", "POS"), all.x=TRUE, sort=TRUE) - #mutect[which(is.na(mutect[,dim(mutect)[2]])), dim(mutect)[2]] <- "Non-coding" - - freebayes_cds$Region <- "CDS" - freebayes_cds <- freebayes_cds[,c(1,2,dim(freebayes_cds)[2])] - freebayes_cds <- unique(freebayes_cds) - freebayes<-merge(freebayes, freebayes_cds, by=c("X.CHROM", "POS"), all.x=TRUE, sort=TRUE) - #freebayes[which(is.na(freebayes[,dim(freebayes)[2]])), dim(freebayes)[2]] <- "Non-coding" - - varscan_cds$Region <- "CDS" - varscan_cds <- varscan_cds[,c(1,2,dim(varscan_cds)[2])] - varscan_cds <- unique(varscan_cds) - varscan<-merge(varscan, varscan_cds, by=c("X.CHROM", "POS"), all.x=TRUE, sort=TRUE) - #varscan[which(is.na(varscan[,dim(varscan)[2]])), dim(varscan)[2]] <- "Non-coding" - - vardict_cds$Region <- "CDS" - vardict_cds <- vardict_cds[,c(1,2,dim(vardict_cds)[2])] - vardict_cds <- unique(vardict_cds) - vardict<-merge(vardict, vardict_cds, by=c("X.CHROM", "POS"), all.x=TRUE, sort=TRUE) - #vardict[which(is.na(vardict[,dim(vardict)[2]])), dim(vardict)[2]] <- "Non-coding" - - - #### Coordinates filtering #### - - - #Filtering Indels from collapsed vcf - mutect_Indel<-a[[2]][!isSNV(a[[2]], singleAltOnly=FALSE)] - freebayes_Indel<-a[[4]][!isSNV(a[[4]], singleAltOnly=FALSE)] - varscan_Indel<-a[[6]][!isSNV(a[[6]], singleAltOnly=FALSE)] - vardict_Indel<-a[[8]][!isSNV(a[[8]], singleAltOnly=FALSE)] - - ## Filtering Passed calls from raw file - mutect_clean_Indel<-rowRanges(mutect_Indel[mutect_Indel@fixed$FILTER=="PASS",])[,1] - mutect_coordinates<-as.data.frame(unlist(mutect_clean_Indel),row.names=NULL) - mutect_coordinates<-mutect_coordinates[1:2] - mutect_coordinates$FILTER_Mutect2<-"PASS" - colnames(mutect_coordinates)[1:2]<-c("X.CHROM", "POS") - mutect_coordinates<-mutect_coordinates[grep("GL*", mutect_coordinates$X.CHROM, invert = TRUE),] - - freebayes_clean_Indel<-rowRanges(freebayes_Indel[freebayes_Indel@fixed$FILTER=="PASS",])[,1] - freebayes_coordinates<-as.data.frame(unlist(freebayes_clean_Indel),row.names=NULL) - freebayes_coordinates<-freebayes_coordinates[1:2] - freebayes_coordinates$FILTER_Freebayes<-"PASS" - colnames(freebayes_coordinates)[1:2]<-c("X.CHROM", "POS") - freebayes_coordinates<-freebayes_coordinates[grep("GL*", freebayes_coordinates$X.CHROM, invert = TRUE),] - - #we are including the SpvFreq as PASSED calls - varscan_clean_Indel<-rowRanges(varscan_Indel[varscan_Indel@fixed$FILTER=="PASS" | varscan_Indel@fixed$FILTER=="SpvFreq",])[,1] - varscan_coordinates<-as.data.frame(unlist(varscan_clean_Indel),row.names=NULL) - varscan_coordinates<-varscan_coordinates[1:2] - varscan_coordinates$FILTER_Varscan<-"PASS" - colnames(varscan_coordinates)[1:2]<-c("X.CHROM", "POS") - varscan_coordinates<-varscan_coordinates[grep("GL*", varscan_coordinates$X.CHROM, invert = TRUE),] - - vardict_clean_Indel<-rowRanges(vardict_Indel[vardict_Indel@fixed$FILTER=="PASS",])[,1] - vardict_coordinates<-as.data.frame(unlist(vardict_clean_Indel),row.names=NULL) - vardict_coordinates<-vardict_coordinates[1:2] - vardict_coordinates$FILTER_Vardict<-"PASS" - colnames(vardict_coordinates)[1:2]<-c("X.CHROM", "POS") - vardict_coordinates<-vardict_coordinates[grep("GL*", vardict_coordinates$X.CHROM, invert = TRUE),] - - #All Pass coordinates(i.e., coordinates passed by at least one caller) - f1<-merge(mutect_coordinates, freebayes_coordinates, by=c("X.CHROM", "POS"), all=TRUE, sort=TRUE) - f2<-merge(varscan_coordinates, vardict_coordinates, by=c("X.CHROM", "POS"), all=TRUE, sort=TRUE) - coordinates<-merge(f1, f2, by=c("X.CHROM", "POS"), all=TRUE, sort=TRUE) - coordinates<-unique(coordinates) - - #Pulling out calls from VRanges object for each caller using coordinates - m2<-dim(mutect)[2] - mutect<-merge(mutect, coordinates, by=c("X.CHROM", "POS"), all.y=TRUE, sort=TRUE) - mutect<-unique(mutect) - M_2<-which( colnames(mutect)=="FILTER_Mutect2" ) - mutect<-mutect[,c(1:m2,M_2)] - - fb<-dim(freebayes)[2] - freebayes<-merge(freebayes, coordinates, by=c("X.CHROM", "POS"), all.y=TRUE, sort=TRUE) - freebayes<-unique(freebayes) - F_B<-which( colnames(freebayes)=="FILTER_Freebayes" ) - freebayes<-freebayes[,c(1:fb,F_B)] - - vs<-dim(varscan)[2] - varscan<-merge(varscan, coordinates, by=c("X.CHROM", "POS"), all.y=TRUE, sort=TRUE) - varscan<-unique(varscan) - V_S<-which( colnames(varscan)=="FILTER_Varscan" ) - varscan<-varscan[,c(1:vs,V_S)] - - vd<-dim(vardict)[2] - vardict<-merge(vardict, coordinates, by=c("X.CHROM", "POS"), all.y=TRUE, sort=TRUE) - vardict<-unique(vardict) - V_D<-which( colnames(vardict)=="FILTER_Vardict" ) - vardict<-vardict[,c(1:vd,V_D)] - - #Merging all calls from each caller - f1<-merge(mutect, freebayes, by = c("X.CHROM", "POS", "Region"), all=TRUE, sort=TRUE) - f2<-merge(varscan, vardict, by = c("X.CHROM", "POS", "Region"), all=TRUE, sort=TRUE) - - final<-merge(f1,f2, by = c("X.CHROM", "POS", "Region"), all=TRUE, sort=TRUE) - final[which(is.na(final[,c("Region")])), c("Region")] <- "Non-coding" - - raw <- final - - - - #Formatting - final$REF<-paste(final$REF_Mutect2,final$REF_Freebayes,final$REF_Vardict,final$REF_Varscan, sep ="/") - final$ALT<-paste(final$ALT_Mutect2,final$ALT_Freebayes,final$ALT_Vardict,final$ALT_Varscan, sep ="/") - f<-subset(final,select=c("END_POS_Mutect2", "END_POS_Freebayes", "END_POS_Vardict", "END_POS_Varscan")) - final$END_POS<-apply(f, MARGIN=1, function(x) max(x,na.rm=TRUE)) - final<-final[,c("X.CHROM", "POS", "END_POS", "REF", "ALT", "Region", "FILTER_Mutect2", "FILTER_Freebayes", "FILTER_Vardict", "FILTER_Varscan", - "m2_BaseQRankSum","m2_ClippingRankSum","m2_FS","m2_HCNT","m2_MQ","m2_MQRankSum","m2_NLOD","m2_ReadPosRankSum","m2_TLOD", - "f_AB","f_ABP","f_EPP","f_EPPR","f_GTI","f_LEN","f_MQM","f_MQMR","f_NS","f_NUMALT","f_ODDS","f_PAIRED","f_PAIREDR","f_RPP","f_SAP","f_SRP", - "vs_SSC","vs_GPV","vs_SS","vs_SPV","vd_SSF","vd_MSI","vd_SOR")] - colnames(final)<-c("X.CHROM", "START_POS_REF", "END_POS_REF", "REF_MFVdVs", "ALT_MFVdVs", "REGION", "FILTER_Mutect2", "FILTER_Freebayes", "FILTER_Vardict", "FILTER_Varscan", - "m2_BaseQRankSum","m2_ClippingRankSum","m2_FS","m2_HCNT","m2_MQ","m2_MQRankSum","m2_NLOD","m2_ReadPosRankSum","m2_TLOD", - "f_AB","f_ABP","f_EPP","f_EPPR","f_GTI","f_LEN","f_MQM","f_MQMR","f_NS","f_NUMALT","f_ODDS","f_PAIRED","f_PAIREDR","f_RPP","f_SAP","f_SRP", - "vs_SSC","vs_GPV","vs_SS","vs_SPV","vd_SSF","vd_MSI","vd_SOR") - - - for(i in 11:dim(final)[2]) - { - final[,i]<-as.numeric(final[,i]) - } - - #Removing Duplicates - final<-unique(final) - - for(i in c("FILTER_Mutect2", "FILTER_Freebayes", "FILTER_Vardict", "FILTER_Varscan")) - { - final[which(is.na(final[,i])), i] <- FALSE - final[which(final[,i]!="PASS"), i] <- "FALSE" - final[which(final[,i]=="PASS"), i] <- "TRUE" - final[,i] <- as.logical(final[,i]) - } - - final$vd_SOR[which(is.infinite(final$vd_SOR)==TRUE)] <- 0 - - - final<-as.matrix(final) - z <- list(final) - names(z)<- c("allfeatures_indel") - return(z) - - #write.table(final , file = "indel-parse-allfeatures.txt", sep = "\t", quote = FALSE, row.names = FALSE) - #x = read.table('indel-parse-allfeatures.txt',header=T,sep = "\t") - #write.csv(x, 'indel-parse-allfeatures.csv',row.names = F) - - -} diff --git a/smurf/R/parsevcf.R b/smurf/R/parsevcf.R index 9ceb8c6..8eb8624 100644 --- a/smurf/R/parsevcf.R +++ b/smurf/R/parsevcf.R @@ -1,4 +1,4 @@ -#' parse +#' parsevcf #' #' Initial file parse and preparation before filtering #' @@ -14,7 +14,7 @@ parsevcf = function(x){ #ScanVCF with required parameters svp_m<-ScanVcfParam(info=c("MQ","MQRankSum","TLOD","NLOD"),geno=NA) - svp_f<-ScanVcfParam(info=c("MQM","MQMR","ODDS","LEN"),geno=NA) + svp_f<-ScanVcfParam(info=c("MQM","MQMR","LEN"),geno=NA) svp_vs<-ScanVcfParam(info=c("SSC","SPV"), geno=NA) svp_vd<-ScanVcfParam(info=c("SSF","SOR","MSI"), geno=NA) @@ -28,7 +28,9 @@ parsevcf = function(x){ obj7<- suppressWarnings(readVcf(x[[4]], "hg19", svp_vd)) obj8<-suppressWarnings(as(obj7, "VRanges")) - a<-list("mutect_raw"=obj2, "mutect_vcf"=obj1, "freebayes_raw"=obj4, "freebayes_vcf"=obj3, "varscan_raw"=obj6, "varscan_vcf"=obj5, "vardict_raw"=obj8, "vardict_vcf"=obj7) + a<-list("mutect_raw"=obj2, "mutect_vcf"=obj1, "freebayes_raw"=obj4, "freebayes_vcf"=obj3, + "varscan_raw"=obj6, "varscan_vcf"=obj5, "vardict_raw"=obj8, "vardict_vcf"=obj7) return(a) } + diff --git a/smurf/R/parsevcfall.R b/smurf/R/parsevcfall.R deleted file mode 100644 index f155dc0..0000000 --- a/smurf/R/parsevcfall.R +++ /dev/null @@ -1,57 +0,0 @@ -#' parse -#' -#' Initial file parse and preparation before filtering -#' -#' @param filedir Sets the working directory containing the vcf.gz files from -#' callers MuTect2, Freebayes, VarDict and VarScan. -#' -#' -#' @examples -#' -#' -#' @export -parsevcfall = function(x){ - - - #ScanVCF with required parameters - svp_m<-ScanVcfParam(info=c("BaseQRankSum","ClippingRankSum","FS","HCNT","MQ","MQRankSum","NLOD","ReadPosRankSum","TLOD"),geno=NA) - svp_f<-ScanVcfParam(info=c("AB","ABP","EPP","EPPR","GTI","LEN","MQM","MQMR","NS","NUMALT","ODDS","PAIRED","PAIREDR","RPP","SAP","SRP"),geno=NA) - svp_vs<-ScanVcfParam(info=c("SSC","GPV","SS","SPV"), geno=NA) - svp_vd<-ScanVcfParam(info=c("SSF","MSI","SOR"), geno=NA) - - #Read Vcf of each caller and Convert collapsed vcf to VRanges object - obj1<- readVcf(x[[1]], "hg19", svp_m) - obj2<-as(obj1, "VRanges") - obj3<- readVcf(x[[2]], "hg19",svp_f) - obj4<-as(obj3, "VRanges") - obj5<- readVcf(x[[3]], "hg19", svp_vs) - obj6<-as(obj5, "VRanges") - obj7<- readVcf(x[[4]], "hg19", svp_vd) - obj8<-as(obj7, "VRanges") - - - - obj1cds<- readVcf(x[[5]], "hg19", svp_m) - obj2cds<-as(obj1cds, "VRanges") - obj3cds<- readVcf(x[[6]], "hg19",svp_f) - obj4cds<-as(obj3cds, "VRanges") - obj5cds<- readVcf(x[[7]], "hg19", svp_vs) - obj6cds<-as(obj5cds, "VRanges") - obj7cds<- readVcf(x[[8]], "hg19", svp_vd) - obj8cds<-as(obj7cds, "VRanges") - - # a<-list("mutect_raw"=obj2, "mutect_vcf"=obj1, "freebayes_raw"=obj4, "freebayes_vcf"=obj3, - # "varscan_raw"=obj6, "varscan_vcf"=obj5, "vardict_raw"=obj8, "vardict_vcf"=obj7 - # ) - - a<-list("mutect_raw"=obj2, "mutect_vcf"=obj1, "freebayes_raw"=obj4, "freebayes_vcf"=obj3, - "varscan_raw"=obj6, "varscan_vcf"=obj5, "vardict_raw"=obj8, "vardict_vcf"=obj7, - "mutect_raw_cds"=obj2cds, "mutect_vcf_cds"=obj1cds, "freebayes_raw_cds"=obj4cds, "freebayes_vcf_cds"=obj3cds, - "varscan_raw_cds"=obj6cds, "varscan_vcf_cds"=obj5cds, "vardict_raw_cds"=obj8cds, "vardict_vcf_cds"=obj7cds - ) - - return(a) - - -} - diff --git a/smurf/R/smurf.R b/smurf/R/smurf.R index e52adb1..53c2d95 100644 --- a/smurf/R/smurf.R +++ b/smurf/R/smurf.R @@ -1,4 +1,4 @@ -#' SMuRF +#' SMuRF v1.1 #' #' Somatic mutation consensus calling based on four callers: #' MuTect2, Freebayes, VarDict, VarScan @@ -159,16 +159,28 @@ smurf = function(directory, model){ return(list("smurf_snv"=y,"smurf_indel"=z,"time.taken"=time.taken)) } - # - # if (model == "features") { #new model with REGION column - # start.time <- Sys.time() - # a<-parsevcffeatures(x) - # y<-snvRFparsefeatures(a) - # z<-indelRFparsefeatures(a) - # smbio_sm<<-list("smbio_snv"=y,"smbio_indel"=z) - # end.time <- Sys.time() - # time.taken <<- end.time - start.time - # } + + if (model == "features") { #new model with REGION column + print("Initializing CDS and feature extraction.") + start.time <- Sys.time() + + #to include CDS calls + m2 <- paste(directory,list.files(directory,pattern="CDS_mutect2.vcf", full.names=F), sep = "") + fb <- paste(directory,list.files(directory,pattern="CDS_freebayes.vcf", full.names=F), sep = "") + vs <- paste(directory,list.files(directory,pattern="CDS_varscan.vcf", full.names=F), sep = "") + vd <- paste(directory,list.files(directory,pattern="CDS_vardict.vcf", full.names=F), sep = "") + + x<-list(mutect2,freebayes,varscan,vardict,m2,fb,vs,vd) + + a<-parsevcffeatures(x) + y<-snvRFparsefeatures(a) + z<-indelRFparsefeatures(a) + end.time <- Sys.time() + time.taken <<- end.time - start.time + #smbio_sm<<-list("smbio_snv"=y,"smbio_indel"=z) + return(list("smurf_snv"=y,"smurf_indel"=z,"time.taken"=time.taken)) + + } } else { print("Error: Input file check failed. One or more files may be missing or duplicated.") diff --git a/smurf/R/snvRFparse.R b/smurf/R/snvRFparse.R index 18eabae..147d8f2 100644 --- a/smurf/R/snvRFparse.R +++ b/smurf/R/snvRFparse.R @@ -16,14 +16,14 @@ snvRFparse = function(a){ #Filtering SNVs from VRanges object along with features mutect<-as.data.frame(a[[1]][isSNV(a[[1]], singleAltOnly=FALSE)],row.names=NULL) #mutect<-mutect[mutect$sampleNames == samples(header(a[[2]]))[1],] - mutect<-mutect[,c("seqnames","start","end", "ref", "alt", "MQ","MQRankSum","TLOD")] + mutect<-mutect[,c("seqnames","start","end", "ref", "alt", "MQ","MQRankSum","TLOD","NLOD")] mutect<-mutect[grep("GL*", mutect$seqnames, invert=TRUE),] - colnames(mutect)<-c("X.CHROM", "POS", "END_POS_Mutect2", "REF_Mutect2", "ALT_Mutect2", "m2_MQ","m2_MQRankSum","m2_TLOD") + colnames(mutect)<-c("X.CHROM", "POS", "END_POS_Mutect2", "REF_Mutect2", "ALT_Mutect2", "m2_MQ","m2_MQRankSum","m2_TLOD","m2_NLOD") freebayes<-as.data.frame(a[[3]][isSNV(a[[3]], singleAltOnly=FALSE)],row.names=NULL) - freebayes<-freebayes[,c("seqnames","start","end", "ref", "alt","MQM","MQMR","ODDS")] + freebayes<-freebayes[,c("seqnames","start","end", "ref", "alt","MQM","MQMR")] freebayes<-freebayes[grep("GL*", freebayes$seqnames, invert=TRUE),] - colnames(freebayes)<-c("X.CHROM", "POS", "END_POS_Freebayes", "REF_Freebayes", "ALT_Freebayes","f_MQM","f_MQMR","f_ODDS") + colnames(freebayes)<-c("X.CHROM", "POS", "END_POS_Freebayes", "REF_Freebayes", "ALT_Freebayes","f_MQM","f_MQMR") varscan<-as.data.frame(a[[5]][isSNV(a[[5]], singleAltOnly=FALSE)],row.names=NULL) varscan<-varscan[,c("seqnames","start","end", "ref", "alt", "SSC","SPV")] @@ -32,9 +32,9 @@ snvRFparse = function(a){ vardict<-as.data.frame(a[[7]][isSNV(a[[7]], singleAltOnly=FALSE)],row.names=NULL) #vardict<-vardict[vardict$sampleNames == samples(header(a[[2]]))[1],] #choose only the tumor sample values (1 or 2) eg.icgc_cll-T - vardict<-vardict[,c("seqnames","start","end", "ref", "alt", "SSF","SOR")] + vardict<-vardict[,c("seqnames","start","end", "ref", "alt", "SSF")] vardict<-vardict[grep("GL*", vardict$seqnames, invert=TRUE),] - colnames(vardict)<-c("X.CHROM", "POS", "END_POS_Vardict", "REF_Vardict", "ALT_Vardict", "vd_SSF","vd_SOR") + colnames(vardict)<-c("X.CHROM", "POS", "END_POS_Vardict", "REF_Vardict", "ALT_Vardict", "vd_SSF") #Filtering SNV's from collapsed vcf mutect_SNV<-a[[2]][isSNV(a[[2]], singleAltOnly=FALSE)] @@ -57,7 +57,9 @@ snvRFparse = function(a){ colnames(freebayes_coordinates)[1:2]<-c("X.CHROM", "POS") freebayes_coordinates<-freebayes_coordinates[grep("GL*", freebayes_coordinates$X.CHROM, invert = TRUE),] - varscan_clean_SNV<-rowRanges(varscan_SNV[varscan_SNV@fixed$FILTER=="PASS",])[,1] + #we are including the SpvFreq as PASSED calls + varscan_clean_SNV<-rowRanges(varscan_SNV[varscan_SNV@fixed$FILTER=="PASS" | varscan_SNV@fixed$FILTER=="SpvFreq",])[,1] + #varscan_clean_SNV<-rowRanges(varscan_SNV[varscan_SNV@fixed$FILTER=="PASS",])[,1] varscan_coordinates<-as.data.frame(unlist(varscan_clean_SNV),row.names=NULL) varscan_coordinates<-varscan_coordinates[1:2] varscan_coordinates$FILTER_Varscan<-"PASS" @@ -78,10 +80,16 @@ snvRFparse = function(a){ coordinates<-unique(coordinates) #Pulling out calls from VRanges object for each caller using coordinates + m2<-dim(mutect)[2] mutect<-merge(mutect, coordinates, by=c("X.CHROM", "POS"), all.y=TRUE, sort=TRUE) mutect<-unique(mutect) - mutect<-mutect[,1:(dim(mutect)[2]-3)] - + M_2<-which( colnames(mutect)=="FILTER_Mutect2" ) + mutect<-mutect[,c(1:m2,M_2)] + + # mutect<-merge(mutect, coordinates, by=c("X.CHROM", "POS"), all.y=TRUE, sort=TRUE) + # mutect<-unique(mutect) + # mutect<-mutect[,1:(dim(mutect)[2]-3)] + # fb<-dim(freebayes)[2] freebayes<-merge(freebayes, coordinates, by=c("X.CHROM", "POS"), all.y=TRUE, sort=TRUE) freebayes<-unique(freebayes) @@ -114,15 +122,15 @@ snvRFparse = function(a){ f<-subset(final,select=c("END_POS_Mutect2", "END_POS_Freebayes", "END_POS_Vardict", "END_POS_Varscan")) final$END_POS<-apply(f, MARGIN=1, function(x) max(x,na.rm=TRUE)) final<-final[,c("X.CHROM", "POS", "END_POS", "REF", "ALT", "FILTER_Mutect2", "FILTER_Freebayes", "FILTER_Vardict", "FILTER_Varscan", - "m2_MQ","m2_MQRankSum","m2_TLOD", - "f_MQM","f_MQMR","f_ODDS", - "vs_SSC","vs_SPV","vd_SSF","vd_SOR")] + "m2_MQ","m2_MQRankSum","m2_TLOD","m2_NLOD", + "f_MQM","f_MQMR", + "vs_SSC","vs_SPV","vd_SSF")] colnames(final)<-c("X.CHROM", "START_POS_REF", "END_POS_REF", "REF_MFVdVs", "ALT_MFVdVs", "FILTER_Mutect2", "FILTER_Freebayes", "FILTER_Vardict", "FILTER_Varscan", - "m2_MQ","m2_MQRankSum","m2_TLOD", - "f_MQM","f_MQMR","f_ODDS", - "vs_SSC","vs_SPV","vd_SSF","vd_SOR") + "m2_MQ","m2_MQRankSum","m2_TLOD","m2_NLOD", + "f_MQM","f_MQMR", + "vs_SSC","vs_SPV","vd_SSF") - for(i in c("m2_MQ","m2_MQRankSum","m2_TLOD","f_MQM","f_MQMR","f_ODDS","vs_SSC","vs_SPV","vd_SSF","vd_SOR")) + for(i in c("m2_MQ","m2_MQRankSum","m2_TLOD","m2_NLOD","f_MQM","f_MQMR","vs_SSC","vs_SPV","vd_SSF")) { final[,i]<-as.numeric(final[,i]) } @@ -139,7 +147,7 @@ snvRFparse = function(a){ final[,i] <- as.logical(final[,i]) } - final$vd_SOR[which(is.infinite(final$vd_SOR)==TRUE)] <- 0 + #final$vd_SOR[which(is.infinite(final$vd_SOR)==TRUE)] <- 0 #summary(final) #snv_parse1<-final @@ -155,9 +163,10 @@ snvRFparse = function(a){ print("Predicting SNVs") df <- final[,c("X.CHROM","START_POS_REF","FILTER_Mutect2","FILTER_Freebayes","FILTER_Vardict","FILTER_Varscan", - "m2_MQ","m2_MQRankSum","m2_TLOD","f_MQM","f_MQMR","f_ODDS","vs_SSC","vs_SPV","vd_SSF","vd_SOR")] - write.csv(df, 'snv_parse.csv',row.names = F) - df <- h2o.importFile(path = normalizePath("snv_parse.csv"),header=T) + "m2_MQ","m2_MQRankSum","m2_TLOD","m2_NLOD","f_MQM","f_MQMR","vs_SSC","vs_SPV","vd_SSF")] + df <- as.h2o(df) + # write.csv(df, 'snv_parse.csv',row.names = F) + # df <- h2o.importFile(path = normalizePath("snv_parse.csv"),header=T) smurfdir <- find.package("smurf") smurfmodeldir <- paste0(smurfdir, "/data/snv-model-combined-grid") @@ -165,10 +174,10 @@ snvRFparse = function(a){ #snv_model <- h2o.loadModel(path = "/home/huangwt/R/x86_64-pc-linux-gnu-library/3.3/smbio/data/snv_model-combined-0221") #snv_model <- h2o.loadModel(path = "D:/Users/Tyler/Dropbox/Scripts/Real-v3/Results-snv-v3/snv_model-combined-0310") - #snv_model <- h2o.loadModel(path = "C:/Users/Tyler/Dropbox/SMuRF/smurf/data/snv-model-combined-grid") + #snv_model <- h2o.loadModel(path = "D:/Users/Tyler/Dropbox/SMuRFv1.1/smurf/data/snv-model-combined-grid") predicted <- h2o.predict(object = snv_model, newdata = df) - suppressMessages(file.remove("snv_parse.csv")) + #suppressMessages(file.remove("snv_parse.csv")) p <- as.data.frame(predicted) table <- final diff --git a/smurf/R/snvRFparseall.R b/smurf/R/snvRFparseall.R deleted file mode 100644 index b4820ae..0000000 --- a/smurf/R/snvRFparseall.R +++ /dev/null @@ -1,218 +0,0 @@ -#' snvRF-Parse -#' -#' snv prediction model -#' Step 1 Parse -#' -#' -#' @examples -#' -#' -#' @export -snvRFparseall = function(a){ - - #a<-x - print("snvRF Parsing") - - #Filtering SNVs from VRanges object along with features - mutect<-as.data.frame(a[[1]][isSNV(a[[1]], singleAltOnly=FALSE)],row.names=NULL) - #mutect<-mutect[mutect$sampleNames == samples(header(a[[2]]))[1],] - mutect<-mutect[,c("seqnames","start","end", "ref", "alt", "BaseQRankSum","ClippingRankSum","FS","HCNT","MQ","MQRankSum","NLOD","ReadPosRankSum","TLOD")] - mutect<-mutect[grep("GL*", mutect$seqnames, invert=TRUE),] - colnames(mutect)<-c("X.CHROM", "POS", "END_POS_Mutect2", "REF_Mutect2", "ALT_Mutect2", "m2_BaseQRankSum","m2_ClippingRankSum","m2_FS","m2_HCNT","m2_MQ","m2_MQRankSum","m2_NLOD","m2_ReadPosRankSum","m2_TLOD") - - freebayes<-as.data.frame(a[[3]][isSNV(a[[3]], singleAltOnly=FALSE)],row.names=NULL) - freebayes<-freebayes[,c("seqnames","start","end", "ref", "alt","AB","ABP","EPP","EPPR","GTI","LEN","MQM","MQMR","NS","NUMALT","ODDS","PAIRED","PAIREDR","RPP","SAP","SRP")] - freebayes<-freebayes[grep("GL*", freebayes$seqnames, invert=TRUE),] - colnames(freebayes)<-c("X.CHROM", "POS", "END_POS_Freebayes", "REF_Freebayes", "ALT_Freebayes","f_AB","f_ABP","f_EPP","f_EPPR","f_GTI","f_LEN","f_MQM","f_MQMR","f_NS","f_NUMALT","f_ODDS","f_PAIRED","f_PAIREDR","f_RPP","f_SAP","f_SRP") - - varscan<-as.data.frame(a[[5]][isSNV(a[[5]], singleAltOnly=FALSE)],row.names=NULL) - varscan<-varscan[,c("seqnames","start","end", "ref", "alt", "SSC","GPV","SS","SPV")] - varscan<-varscan[grep("GL*", varscan$seqnames, invert=TRUE),] - colnames(varscan)<-c("X.CHROM", "POS", "END_POS_Varscan", "REF_Varscan", "ALT_Varscan", "vs_SSC","vs_GPV","vs_SS","vs_SPV") - - vardict<-as.data.frame(a[[7]][isSNV(a[[7]], singleAltOnly=FALSE)],row.names=NULL) - #vardict<-vardict[vardict$sampleNames == samples(header(a[[2]]))[1],] #choose only the tumor sample values (1 or 2) eg.icgc_cll-T - vardict<-vardict[,c("seqnames","start","end", "ref", "alt", "SSF","MSI","SOR")] - vardict<-vardict[grep("GL*", vardict$seqnames, invert=TRUE),] - colnames(vardict)<-c("X.CHROM", "POS", "END_POS_Vardict", "REF_Vardict", "ALT_Vardict", "vd_SSF","vd_MSI","vd_SOR") - - #### Coding annotation #### - - #Filtering SNVs from VRanges object along with features - mutect_cds<-as.data.frame(a[[9]][isSNV(a[[9]], singleAltOnly=FALSE)],row.names=NULL) - #mutect_cds<-mutect_cds[mutect_cds$sampleNames == samples(header(a[[2]]))[1],] - mutect_cds<-mutect_cds[,c("seqnames","start","end", "ref", "alt", "BaseQRankSum","ClippingRankSum","FS","HCNT","MQ","MQRankSum","NLOD","ReadPosRankSum","TLOD")] - mutect_cds<-mutect_cds[grep("GL*", mutect_cds$seqnames, invert=TRUE),] - colnames(mutect_cds)<-c("X.CHROM", "POS", "END_POS_Mutect2", "REF_Mutect2", "ALT_Mutect2", "m2_BaseQRankSum","m2_ClippingRankSum","m2_FS","m2_HCNT","m2_MQ","m2_MQRankSum","m2_NLOD","m2_ReadPosRankSum","m2_TLOD") - - freebayes_cds<-as.data.frame(a[[11]][isSNV(a[[11]], singleAltOnly=FALSE)],row.names=NULL) - freebayes_cds<-freebayes_cds[,c("seqnames","start","end", "ref", "alt","AB","ABP","EPP","EPPR","GTI","LEN","MQM","MQMR","NS","NUMALT","ODDS","PAIRED","PAIREDR","RPP","SAP","SRP")] - freebayes_cds<-freebayes_cds[grep("GL*", freebayes_cds$seqnames, invert=TRUE),] - colnames(freebayes_cds)<-c("X.CHROM", "POS", "END_POS_Freebayes", "REF_Freebayes", "ALT_Freebayes","f_AB","f_ABP","f_EPP","f_EPPR","f_GTI","f_LEN","f_MQM","f_MQMR","f_NS","f_NUMALT","f_ODDS","f_PAIRED","f_PAIREDR","f_RPP","f_SAP","f_SRP") - - varscan_cds<-as.data.frame(a[[13]][isSNV(a[[13]], singleAltOnly=FALSE)],row.names=NULL) - varscan_cds<-varscan_cds[,c("seqnames","start","end", "ref", "alt", "SSC","GPV","SS","SPV")] - varscan_cds<-varscan_cds[grep("GL*", varscan_cds$seqnames, invert=TRUE),] - colnames(varscan_cds)<-c("X.CHROM", "POS", "END_POS_Varscan", "REF_Varscan", "ALT_Varscan", "vs_SSC","vs_GPV","vs_SS","vs_SPV") - - vardict_cds<-as.data.frame(a[[15]][isSNV(a[[15]], singleAltOnly=FALSE)],row.names=NULL) - #vardict_cds<-vardict_cds[vardict_cds$sampleNames == samples(header(a[[2]]))[1],] #choose only the tumor sample values (1 or 2) eg.icgc_cll-T - vardict_cds<-vardict_cds[,c("seqnames","start","end", "ref", "alt", "SSF","MSI","SOR")] - vardict_cds<-vardict_cds[grep("GL*", vardict_cds$seqnames, invert=TRUE),] - colnames(vardict_cds)<-c("X.CHROM", "POS", "END_POS_Vardict", "REF_Vardict", "ALT_Vardict", "vd_SSF","vd_MSI","vd_SOR") - - #assign column and then merge with original - mutect_cds$Region <- "CDS" - mutect_cds <- mutect_cds[,c(1,2,dim(mutect_cds)[2])] - mutect_cds <- unique(mutect_cds) - mutect<-merge(mutect, mutect_cds, by=c("X.CHROM", "POS"), all.x=TRUE, sort=TRUE) - #mutect[which(is.na(mutect[,dim(mutect)[2]])), dim(mutect)[2]] <- "Non-coding" - - freebayes_cds$Region <- "CDS" - freebayes_cds <- freebayes_cds[,c(1,2,dim(freebayes_cds)[2])] - freebayes_cds <- unique(freebayes_cds) - freebayes<-merge(freebayes, freebayes_cds, by=c("X.CHROM", "POS"), all.x=TRUE, sort=TRUE) - #freebayes[which(is.na(freebayes[,dim(freebayes)[2]])), dim(freebayes)[2]] <- "Non-coding" - - varscan_cds$Region <- "CDS" - varscan_cds <- varscan_cds[,c(1,2,dim(varscan_cds)[2])] - varscan_cds <- unique(varscan_cds) - varscan<-merge(varscan, varscan_cds, by=c("X.CHROM", "POS"), all.x=TRUE, sort=TRUE) - #varscan[which(is.na(varscan[,dim(varscan)[2]])), dim(varscan)[2]] <- "Non-coding" - - vardict_cds$Region <- "CDS" - vardict_cds <- vardict_cds[,c(1,2,dim(vardict_cds)[2])] - vardict_cds <- unique(vardict_cds) - vardict<-merge(vardict, vardict_cds, by=c("X.CHROM", "POS"), all.x=TRUE, sort=TRUE) - #vardict[which(is.na(vardict[,dim(vardict)[2]])), dim(vardict)[2]] <- "Non-coding" - - - #### Coordinates filtering #### - - #Filtering SNV's from collapsed vcf - mutect_SNV<-a[[2]][isSNV(a[[2]], singleAltOnly=FALSE)] - freebayes_SNV<-a[[4]][isSNV(a[[4]], singleAltOnly=FALSE)] - varscan_SNV<-a[[6]][isSNV(a[[6]], singleAltOnly=FALSE)] - vardict_SNV<-a[[8]][isSNV(a[[8]], singleAltOnly=FALSE)] - - ## Filtering Passed calls from raw file - mutect_clean_SNV<-rowRanges(mutect_SNV[mutect_SNV@fixed$FILTER=="PASS",])[,1] - mutect_coordinates<-as.data.frame(unlist(mutect_clean_SNV),row.names=NULL) - mutect_coordinates<-mutect_coordinates[1:2] - mutect_coordinates$FILTER_Mutect2<-"PASS" - colnames(mutect_coordinates)[1:2]<-c("X.CHROM", "POS") - mutect_coordinates<-mutect_coordinates[grep("GL*", mutect_coordinates$X.CHROM, invert = TRUE),] - - freebayes_clean_SNV<-rowRanges(freebayes_SNV[freebayes_SNV@fixed$FILTER=="PASS",])[,1] - freebayes_coordinates<-as.data.frame(unlist(freebayes_clean_SNV),row.names=NULL) - freebayes_coordinates<-freebayes_coordinates[1:2] - freebayes_coordinates$FILTER_Freebayes<-"PASS" - colnames(freebayes_coordinates)[1:2]<-c("X.CHROM", "POS") - freebayes_coordinates<-freebayes_coordinates[grep("GL*", freebayes_coordinates$X.CHROM, invert = TRUE),] - - #we are including the SpvFreq as PASSED calls - varscan_clean_SNV<-rowRanges(varscan_SNV[varscan_SNV@fixed$FILTER=="PASS" | varscan_SNV@fixed$FILTER=="SpvFreq",])[,1] - varscan_coordinates<-as.data.frame(unlist(varscan_clean_SNV),row.names=NULL) - varscan_coordinates<-varscan_coordinates[1:2] - varscan_coordinates$FILTER_Varscan<-"PASS" - colnames(varscan_coordinates)[1:2]<-c("X.CHROM", "POS") - varscan_coordinates<-varscan_coordinates[grep("GL*", varscan_coordinates$X.CHROM, invert = TRUE),] - - vardict_clean_SNV<-rowRanges(vardict_SNV[vardict_SNV@fixed$FILTER=="PASS",])[,1] - vardict_coordinates<-as.data.frame(unlist(vardict_clean_SNV),row.names=NULL) - vardict_coordinates<-vardict_coordinates[1:2] - vardict_coordinates$FILTER_Vardict<-"PASS" - colnames(vardict_coordinates)[1:2]<-c("X.CHROM", "POS") - vardict_coordinates<-vardict_coordinates[grep("GL*", vardict_coordinates$X.CHROM, invert = TRUE),] - - #All Pass coordinates(i.e., coordinates passed by at least one caller) - f1<-merge(mutect_coordinates, freebayes_coordinates, by=c("X.CHROM", "POS"), all=TRUE, sort=TRUE) - f2<-merge(varscan_coordinates, vardict_coordinates, by=c("X.CHROM", "POS"), all=TRUE, sort=TRUE) - coordinates<-merge(f1, f2, by=c("X.CHROM", "POS"), all=TRUE, sort=TRUE) - coordinates<-unique(coordinates) - - #### Merge 4 callers with proper coordinates #### - - #Pulling out calls from VRanges object for each caller using coordinates - m2<-dim(mutect)[2] - mutect<-merge(mutect, coordinates, by=c("X.CHROM", "POS"), all.y=TRUE, sort=TRUE) - mutect<-unique(mutect) - M_2<-which( colnames(mutect)=="FILTER_Mutect2" ) - mutect<-mutect[,c(1:m2,M_2)] - - fb<-dim(freebayes)[2] - freebayes<-merge(freebayes, coordinates, by=c("X.CHROM", "POS"), all.y=TRUE, sort=TRUE) - freebayes<-unique(freebayes) - F_B<-which( colnames(freebayes)=="FILTER_Freebayes" ) - freebayes<-freebayes[,c(1:fb,F_B)] - - vs<-dim(varscan)[2] - varscan<-merge(varscan, coordinates, by=c("X.CHROM", "POS"), all.y=TRUE, sort=TRUE) - varscan<-unique(varscan) - V_S<-which( colnames(varscan)=="FILTER_Varscan" ) - varscan<-varscan[,c(1:vs,V_S)] - - vd<-dim(vardict)[2] - vardict<-merge(vardict, coordinates, by=c("X.CHROM", "POS"), all.y=TRUE, sort=TRUE) - vardict<-unique(vardict) - V_D<-which( colnames(vardict)=="FILTER_Vardict" ) - vardict<-vardict[,c(1:vd,V_D)] - - #Merging all calls from each caller - f1<-merge(mutect, freebayes, by = c("X.CHROM", "POS", "Region"), all=TRUE, sort=TRUE) - f2<-merge(varscan, vardict, by = c("X.CHROM", "POS", "Region"), all=TRUE, sort=TRUE) - - final<-merge(f1,f2, by = c("X.CHROM", "POS", "Region"), all=TRUE, sort=TRUE) - final[which(is.na(final[,c("Region")])), c("Region")] <- "Non-coding" - - raw <- final - - #Formatting - final$REF<-paste(final$REF_Mutect2,final$REF_Freebayes,final$REF_Vardict,final$REF_Varscan, sep ="/") - final$ALT<-paste(final$ALT_Mutect2,final$ALT_Freebayes,final$ALT_Vardict,final$ALT_Varscan, sep ="/") - f<-subset(final,select=c("END_POS_Mutect2", "END_POS_Freebayes", "END_POS_Vardict", "END_POS_Varscan")) - final$END_POS<-apply(f, MARGIN=1, function(x) max(x,na.rm=TRUE)) - final<-final[,c("X.CHROM", "POS", "END_POS", "REF", "ALT", "Region", "FILTER_Mutect2", "FILTER_Freebayes", "FILTER_Vardict", "FILTER_Varscan", - "m2_BaseQRankSum","m2_ClippingRankSum","m2_FS","m2_HCNT","m2_MQ","m2_MQRankSum","m2_NLOD","m2_ReadPosRankSum","m2_TLOD", - "f_AB","f_ABP","f_EPP","f_EPPR","f_GTI","f_LEN","f_MQM","f_MQMR","f_NS","f_NUMALT","f_ODDS","f_PAIRED","f_PAIREDR","f_RPP","f_SAP","f_SRP", - "vs_SSC","vs_GPV","vs_SS","vs_SPV","vd_SSF","vd_MSI","vd_SOR")] - colnames(final)<-c("X.CHROM", "START_POS_REF", "END_POS_REF", "REF_MFVdVs", "ALT_MFVdVs", "REGION", "FILTER_Mutect2", "FILTER_Freebayes", "FILTER_Vardict", "FILTER_Varscan", - "m2_BaseQRankSum","m2_ClippingRankSum","m2_FS","m2_HCNT","m2_MQ","m2_MQRankSum","m2_NLOD","m2_ReadPosRankSum","m2_TLOD", - "f_AB","f_ABP","f_EPP","f_EPPR","f_GTI","f_LEN","f_MQM","f_MQMR","f_NS","f_NUMALT","f_ODDS","f_PAIRED","f_PAIREDR","f_RPP","f_SAP","f_SRP", - "vs_SSC","vs_GPV","vs_SS","vs_SPV","vd_SSF","vd_MSI","vd_SOR") - - for(i in 11:dim(final)[2]) - { - final[,i]<-as.numeric(final[,i]) - } - - - #Removing Duplicates - final<-unique(final) - - for(i in c("FILTER_Mutect2", "FILTER_Freebayes", "FILTER_Vardict", "FILTER_Varscan")) - { - final[which(is.na(final[,i])), i] <- FALSE - final[which(final[,i]!="PASS"), i] <- "FALSE" - final[which(final[,i]=="PASS"), i] <- "TRUE" - final[,i] <- as.logical(final[,i]) - } - - final$vd_SOR[which(is.infinite(final$vd_SOR)==TRUE)] <- 0 - - #df <- final[,c(1:2,6:dim(final)[2])] - #write.csv(df, 'snv_parse.csv',row.names = F) - #df <- h2o.importFile(path = normalizePath("snv_parse.csv"),header=T) - - final<-as.matrix(final) - y <- list(final) - names(y)<- c("allfeatures_snv") - return(y) - - - #write.table(final , file = "snv-parse-allfeatures.txt", sep = "\t", 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