From a7968a7eb170d0de015c0d53489fd802eef1f079 Mon Sep 17 00:00:00 2001 From: Luca Cozzuto Date: Fri, 29 Nov 2024 16:41:10 +0100 Subject: [PATCH] adding seqtagger --- docs/mop_preprocess.rst | 11 +++++-- img/flow_preproc.png | Bin 445473 -> 849721 bytes mop_preprocess/mop_preprocess.nf | 13 +++++--- .../seqtagger_models/b04_RNA002/barcodes.fa | 8 +++++ .../b04_RNA002/barcodes.fa.fai | 4 +++ .../seqtagger_models/b04_RNA002/config.toml | 29 ++++++++++++++++++ .../b04_RNA002/weights_49.tar | Bin 0 -> 2085995 bytes .../seqtagger_models/b04_RNA004/barcodes.fa | 8 +++++ .../b04_RNA004/barcodes.fa.fai | 4 +++ .../seqtagger_models/b04_RNA004/config.toml | 29 ++++++++++++++++++ .../b04_RNA004/weights_39.tar | Bin 0 -> 2085995 bytes mop_preprocess/tool_opts/cdna_tool_opt.tsv | 1 + .../tool_opts/cdna_tool_readucks_opt.tsv | 1 + mop_preprocess/tool_opts/dna_tool_opt.tsv | 1 + .../tool_opts/drna_tool_m6A_splice_opt.tsv | 1 + ...pt_ozu.tsv => drna_tool_seqtagger_opt.tsv} | 4 ++- .../tool_opts/drna_tool_splice_opt.tsv | 1 + 17 files changed, 108 insertions(+), 7 deletions(-) create mode 100644 mop_preprocess/seqtagger_models/b04_RNA002/barcodes.fa create mode 100644 mop_preprocess/seqtagger_models/b04_RNA002/barcodes.fa.fai create mode 100644 mop_preprocess/seqtagger_models/b04_RNA002/config.toml create mode 100644 mop_preprocess/seqtagger_models/b04_RNA002/weights_49.tar create mode 100644 mop_preprocess/seqtagger_models/b04_RNA004/barcodes.fa create mode 100644 mop_preprocess/seqtagger_models/b04_RNA004/barcodes.fa.fai create mode 100644 mop_preprocess/seqtagger_models/b04_RNA004/config.toml create mode 100644 mop_preprocess/seqtagger_models/b04_RNA004/weights_39.tar rename mop_preprocess/tool_opts/{drna_tool_splice_opt_ozu.tsv => drna_tool_seqtagger_opt.tsv} (74%) diff --git a/docs/mop_preprocess.rst b/docs/mop_preprocess.rst index 2c6f51f..1dd2273 100644 --- a/docs/mop_preprocess.rst +++ b/docs/mop_preprocess.rst @@ -9,7 +9,7 @@ MOP_PREPROCESS This pipeline takes as input the raw fast5 reads - single or multi - and it produces several outputs (basecalled fast5, sequences in fastq format, aligned reads in BAM format etc). The pre-processing pipeline can perform base-calling, demultiplexing (optional), filtering, quality control, mapping to a reference (either a genome or a transcriptome), feature counting, discovery of novel transcripts, and it generates a final report with the performance and results of each of the steps performed. -It automatically detects the kind of input fast5 file (single or multi-sequence). It can also support the new pod5 format but it won't output basecalled fastq useful for the other pipelines. The basecalling can be performed with guppy or dorado and the demultiplexing with either guppy, or deeplexicon. Basecalled fastq and Fast5 files can be demultiplexed as well. You can restrict the number of barcodes by indicating a file with barcode list using the **barcodes** parameter. +It automatically detects the kind of input fast5 file (single or multi-sequence). It can also support the new pod5 format but it won't output basecalled fastq useful for the other pipelines. The basecalling can be performed with guppy or dorado and the demultiplexing with either guppy, seqtagger, or deeplexicon. Basecalled fastq and Fast5 files can be demultiplexed as well. You can restrict the number of barcodes by indicating a file with barcode list using the **barcodes** parameter. .. image:: ../img/flow_preproc.png @@ -133,6 +133,9 @@ The first column indicates the processing step as **basecalling** or **demultipl .. note:: Readucks is run after guppy demultiplexing. It refines the demultiplexing generating different fastqs +.. tip:: + You don't need to specify the whole path for the models of seqtagger, just the name of the model will be enough + Model libraries for specific tools ==================== @@ -144,6 +147,9 @@ The following folders are available for the respective tools. Some models are al * pAmps-rep2-4-train1_newdata_nanopore_UResNet20v2_model.039.h5 * dorado_models * rna002_70bps_hac@v3 +* seqtagger_models + * b04_RNA002 + * b04_RNA004 .. note:: You need to download the models you want to use in case they are not already available. For instance, if you need another model for dorado you need to do: @@ -158,6 +164,7 @@ You also need to add the dedicated parameter within the tool_opts file for the s .. code-block:: console basecalling dorado "rna002_70bps_hac@v3" + demultiplexing seqtagger "-k b100" demultiplexing deeplexicon "-f multi -m resnet20-final.h5" .. note:: @@ -182,7 +189,7 @@ The sample id is given by either the folder containing the fast5 files or the ba .. note:: - The naming convention of the different barcodes is decided by each tool, so guppy will produce **barcode01**, **barcode02**, etc. + The naming convention of the different barcodes is decided by each tool, so guppy will produce **barcode01**, **barcode02**, while seqtagger will produce bc_1, bc_2, etc. Basecalling with the m6A-aware model diff --git a/img/flow_preproc.png b/img/flow_preproc.png index 5825e61631a883d2beea43a42a88f94c703586f0..ae9ec09cd100edcca15da4814216d7383be2ad07 100644 GIT binary patch literal 849721 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a/mop_preprocess/mop_preprocess.nf b/mop_preprocess/mop_preprocess.nf index 87c951c..4673e10 100644 --- a/mop_preprocess/mop_preprocess.nf +++ b/mop_preprocess/mop_preprocess.nf @@ -32,8 +32,8 @@ reference : ${params.reference} annotation : ${params.annotation} granularity : ${params.granularity} - ref_type : ${params.ref_type} + pars_tools : ${params.pars_tools} barcodes : ${params.barcodes} @@ -99,6 +99,9 @@ switch(params.demultiplexing) { case "deeplexicon": demux_models = "${projectDir}/deeplexicon_models/" break; + case "seqtagger": + demux_models = "${projectDir}/seqtagger_models/" + break; } dorado_models = "${projectDir}/dorado_models/" @@ -127,6 +130,7 @@ def demulti_fast5_opt = homogenizeVals(params.demulti_fast5) def basecall_label = (params.GPU != 'OFF' ? 'basecall_gpus' : 'big_cpus') def deeplexi_basecall_label = (params.GPU != 'OFF' ? 'demulti_gpus' : '') + def output_bc = (demulti_fast5_opt == 'ON' ? '' : outputFast5) //def outputMinionQC = (demulti_fast5_opt == 'ON' ? '': outputQual) @@ -160,7 +164,7 @@ barcodes_to_include = get_barcode_list(params.barcodes) def guppy_basecall_pars = guppypars + " " + progPars["basecalling--guppy"] def basecaller_pars = ["guppy" : guppy_basecall_pars, "dorado" : progPars["basecalling--dorado"] ] -def demux_pars = ["guppy" : progPars["demultiplexing--guppy"] + " " + guppy_basecall_pars, "deeplexicon": progPars["demultiplexing--deeplexicon"] ] +def demux_pars = ["guppy" : progPars["demultiplexing--guppy"] + " " + guppy_basecall_pars, "seqtagger": progPars["demultiplexing--seqtagger"], "deeplexicon": progPars["demultiplexing--deeplexicon"] ] // INCLUDE WORKFLOWS @@ -186,7 +190,7 @@ include { GET_VERSION as FASTQC_VER} from "${subworkflowsDir}/qc/fastqc" include { SORT as SAMTOOLS_SORT } from "${subworkflowsDir}/misc/samtools" addParams(LABEL: 'big_cpus', OUTPUT:outputMapping) include { INDEX as SAMTOOLS_INDEX } from "${subworkflowsDir}/misc/samtools" addParams(OUTPUT:outputMapping) include { GET_VERSION as SAMTOOLS_VERSION; CAT as SAMTOOLS_CAT } from "${subworkflowsDir}/misc/samtools" -include { MOP_QC as NANOPLOT_QC } from "${subworkflowsDir}/qc/nanoplot" addParams(LABEL: 'big_cpus_ignore') +include { MOP_QC as NANOPLOT_QC } from "${subworkflowsDir}/qc/nanoplot" addParams(LABEL: 'big_cpus_retry') include { GET_VERSION as NANOPLOT_VER } from "${subworkflowsDir}/qc/nanoplot" include { GET_VERSION as NANOCOUNT_VER } from "${subworkflowsDir}/read_count/nanocount" include { COUNT as NANOCOUNT } from "${subworkflowsDir}/read_count/nanocount" addParams(LABEL: 'big_mem', EXTRAPARS: progPars["counting--nanocount"], OUTPUT:outputCounts) @@ -407,6 +411,7 @@ workflow { else { // BASECALL AND DEMULTIPLEX switch(params.demultiplexing) { case "deeplexicon": + case "seqtagger": outbc = BASECALL(fast5_4_analysis) demux = DEMULTIPLEX(fast5_4_analysis, outbc.basecalled_fastq) demufq = demux.demultiplexed_fastq @@ -507,7 +512,7 @@ workflow { // Perform fastqc QC on fastq fastqc_files = FASTQC(fastq_files) - multiqc_data = multiqc_data.mix(stats_aln).mix(fastqc_files.map{it[1]}) + multiqc_data = multiqc_data.mix(fastqc_files.map{it[1]}) stats_counts = COUNTING(sorted_alns, aln_indexes).stats_counts diff --git a/mop_preprocess/seqtagger_models/b04_RNA002/barcodes.fa b/mop_preprocess/seqtagger_models/b04_RNA002/barcodes.fa new file mode 100644 index 0000000..dcf8189 --- /dev/null +++ b/mop_preprocess/seqtagger_models/b04_RNA002/barcodes.fa @@ -0,0 +1,8 @@ +>Barcode_1 +GGCTTCTTCTTGCTCTTAGG +>Barcode_2 +GTGATTCTCGTCTTTCTGCG +>Barcode_3 +GTACTTTTCTCTTTGCGCGG +>Barcode_4 +GGTCTTCGCTCGGTCTTATT diff --git a/mop_preprocess/seqtagger_models/b04_RNA002/barcodes.fa.fai b/mop_preprocess/seqtagger_models/b04_RNA002/barcodes.fa.fai new file mode 100644 index 0000000..73e6046 --- /dev/null +++ b/mop_preprocess/seqtagger_models/b04_RNA002/barcodes.fa.fai @@ -0,0 +1,4 @@ +Barcode_1 20 11 20 21 +Barcode_2 20 43 20 21 +Barcode_3 20 75 20 21 +Barcode_4 20 107 20 21 diff --git a/mop_preprocess/seqtagger_models/b04_RNA002/config.toml b/mop_preprocess/seqtagger_models/b04_RNA002/config.toml new file mode 100644 index 0000000..9449fd0 --- /dev/null +++ b/mop_preprocess/seqtagger_models/b04_RNA002/config.toml @@ -0,0 +1,29 @@ +[model] +package = "bonito.crf" + +[labels] +labels = [ "N", "A", "C", "G", "T",] + +[input] +features = 1 + +[qscore] +scale = 0.0 +bias = 1.0 + +[encoder] +winlen = 31 +stride = 10 +scale = 5.0 +features = 96 +rnn_type = "lstm" +activation = "swish" +blank_score = 2.0 + +[global_norm] +state_len = 4 + +[basecaller] +batchsize = 256 +chunksize = 3000 +overlap = 500 diff --git a/mop_preprocess/seqtagger_models/b04_RNA002/weights_49.tar b/mop_preprocess/seqtagger_models/b04_RNA002/weights_49.tar new file mode 100644 index 0000000000000000000000000000000000000000..46f27bf5f7e714319bb02dcd4de3bc11c457f3f2 GIT binary patch literal 2085995 zcmb5V2{=~W7xzzQA`~h^p$wTN;XZpwN`{nZkOotRO6oS0LS&A}P)Q0=q=^a@XD>-5 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b/mop_preprocess/seqtagger_models/b04_RNA004/barcodes.fa.fai new file mode 100644 index 0000000..73e6046 --- /dev/null +++ b/mop_preprocess/seqtagger_models/b04_RNA004/barcodes.fa.fai @@ -0,0 +1,4 @@ +Barcode_1 20 11 20 21 +Barcode_2 20 43 20 21 +Barcode_3 20 75 20 21 +Barcode_4 20 107 20 21 diff --git a/mop_preprocess/seqtagger_models/b04_RNA004/config.toml b/mop_preprocess/seqtagger_models/b04_RNA004/config.toml new file mode 100644 index 0000000..57f00b6 --- /dev/null +++ b/mop_preprocess/seqtagger_models/b04_RNA004/config.toml @@ -0,0 +1,29 @@ +[model] +package = "bonito.crf" + +[labels] +labels = [ "N", "A", "C", "G", "T",] + +[input] +features = 1 + +[qscore] +scale = 0.0 +bias = 1.0 + +[encoder] +winlen = 31 +stride = 10 +scale = 5.0 +features = 96 +rnn_type = "lstm" +activation = "swish" +blank_score = 2.0 + +[global_norm] +state_len = 4 + +[basecaller] +batchsize = 256 +chunksize = 2000 +overlap = 500 diff --git a/mop_preprocess/seqtagger_models/b04_RNA004/weights_39.tar 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