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added cram_bam conversion & tumor_only check
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parent
9f8d6cbdd5
commit
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1 changed files with 28 additions and 5 deletions
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@ -5,7 +5,7 @@ process CNVKIT_BATCH {
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conda (params.enable_conda ? 'bioconda::cnvkit=0.9.9' : null)
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conda (params.enable_conda ? 'bioconda::cnvkit=0.9.9' : null)
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container "${ workflow.containerEngine == 'singularity' && !task.ext.singularity_pull_docker_container ?
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container "${ workflow.containerEngine == 'singularity' && !task.ext.singularity_pull_docker_container ?
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'https://depot.galaxyproject.org/singularity/cnvkit:0.9.9--pyhdfd78af_0' :
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'https://depot.galaxyproject.org/singularity/cnvkit:0.9.9--pyhdfd78af_0' :
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'quay.io/biocontainers/cnvkit:0.9.9--pyhdfd78af_0' }"
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'quay.io/biocontainers/mulled-v2-780d630a9bb6a0ff2e7b6f730906fd703e40e98f:304d1c5ab610f216e77c61420ebe85f1e7c5968a-0' }"
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input:
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input:
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tuple val(meta), path(tumor), path(normal)
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tuple val(meta), path(tumor), path(normal)
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@ -18,6 +18,8 @@ process CNVKIT_BATCH {
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tuple val(meta), path("*.cnn"), emit: cnn, optional: true
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tuple val(meta), path("*.cnn"), emit: cnn, optional: true
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tuple val(meta), path("*.cnr"), emit: cnr, optional: true
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tuple val(meta), path("*.cnr"), emit: cnr, optional: true
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tuple val(meta), path("*.cns"), emit: cns, optional: true
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tuple val(meta), path("*.cns"), emit: cns, optional: true
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tuple val(meta), path("*.pdf"), emit: pdf, optional: true
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tuple val(meta), path("*.png"), emit: png, optional: true
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path "versions.yml" , emit: versions
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path "versions.yml" , emit: versions
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when:
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when:
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@ -25,21 +27,42 @@ process CNVKIT_BATCH {
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script:
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script:
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def args = task.ext.args ?: ''
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def args = task.ext.args ?: ''
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def normal_args = normal ? "--normal $normal" : ""
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// execute samtools only when cram files are input
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def fasta_args = fasta ? "--fasta $fasta" : ""
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// input pair is assumed to have same extension if both exist
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def is_cram = tumor.Extension == "cram" ? true : false
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def tumor_out = is_cram ? tumor.BaseName + ".bam" : "${tumor}"
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// do not run samtools on normal samples in tumor_only
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def normal_exists = normal ? true: false
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// tumor_only mode does not need fasta & target
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// instead it requires a pre-computed reference which is built from fasta & target
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def (normal_out, normal_args, fasta_args, target_args) = ["", "", "", ""]
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def reference_args = reference ? "--reference $reference" : ""
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def reference_args = reference ? "--reference $reference" : ""
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def target_args = ""
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if (normal_exists){
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def normal_prefix = normal.BaseName
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normal_out = is_cram ? "${normal_prefix}" + ".bam" : "${normal}"
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normal_args = normal_prefix ? "--normal $normal_out" : ""
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fasta_args = fasta ? "--fasta $fasta" : ""
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}
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if (args.contains("--method wgs") || args.contains("-m wgs")) {
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if (args.contains("--method wgs") || args.contains("-m wgs")) {
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target_args = targets ? "--targets $targets" : ""
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target_args = targets ? "--targets $targets" : ""
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}
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}
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else {
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else {
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target_args = "--targets $targets"
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target_args = "--targets $targets"
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}
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}
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"""
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"""
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if $is_cram; then
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samtools view -T $fasta $tumor -@ $task.cpus -o $tumor_out
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if $normal_exists; then
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samtools view -T $fasta $normal -@ $task.cpus -o $normal_out
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fi
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fi
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cnvkit.py \\
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cnvkit.py \\
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batch \\
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batch \\
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$tumor \\
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$tumor_out \\
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$normal_args \\
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$normal_args \\
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$fasta_args \\
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$fasta_args \\
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$reference_args \\
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$reference_args \\
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