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更新 'workflow.wdl'

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df4171ae7d
1 mainītis faili ar 80 papildinājumiem un 3 dzēšanām
  1. +80
    -3
      workflow.wdl

workflow_raw.wdl → workflow.wdl Parādīt failu

@@ -5,7 +5,9 @@ import "./tasks/manta.wdl" as manta_calling
import "./tasks/strelka.wdl" as strelka_calling
import "./tasks/bcftools.wdl" as bcftools
import "./tasks/bcftools_concat.wdl" as bcftools_concat
import "./tasks/annovar.wdl" as annovar
import "./tasks/Haplotyper.wdl" as Haplotyper
import "./tasks/MSIsensor.wdl" as MSIsensor
import "./tasks/tmb.wdl" as TMB


workflow {{ project_name }} {
@@ -27,6 +29,11 @@ workflow {{ project_name }} {
File germline_resource
File germline_resource_tbi
File annovar_database
File? regions
File baseline
File hg38_CDS



#docker
String docker_fastp
@@ -37,6 +44,8 @@ workflow {{ project_name }} {
String docker_strelka
String docker_bcftools
String docker_annovar
String docker_tmb
String docker_tmb_MSIsensor

#config
String cluster_config
@@ -44,6 +53,7 @@ workflow {{ project_name }} {
Boolean? fastqc
Boolean bamqc
Boolean Annovar
Boolean AF_filter


if (normal_deduped_bam != ""){
@@ -88,6 +98,48 @@ if (tumor_deduped_bam != ""){

}

call MSIsensor.MSIsensor as MSIsensor {
input:
sample=sample_id,
fasta=ref_fasta,
ref_dir=ref_fasta_dir,
normal_bam=Sentieon_BQSR_normal.recaled_bam,
normal_bam_index=Sentieon_BQSR_normal.recaled_bam_index,
tumor_bam=Sentieon_BQSR_tumor.recaled_bam,
tumor_bam_index=Sentieon_BQSR_tumor.recaled_bam_index,
baseline=baseline,
docker=docker_msisensor,
cluster_config=cluster_config,
disk_size=disk_size
}


call Haplotyper.Haplotyper as Haplotyper {
input:
SENTIEON_LICENSE=SENTIEON_LICENSE,
sample=sample_id + '.N',
fasta=ref_fasta,
ref_dir=ref_fasta_dir,
recaled_bam=Sentieon_BQSR_normal.recaled_bam,
recaled_bam_index=Sentieon_BQSR_normal.recaled_bam_index,
dbsnp=dbsnp,
dbsnp_dir=dbsnp_dir,
regions=regions,
docker=docker_sentieon,
disk_size=disk_size,
cluster_config=cluster_config
}

call bcftools.bcftools as Haplotyper_bcftools {
input:
vcf=Haplotyper.vcf,
fasta=ref_fasta,
ref_dir=ref_fasta_dir,
docker=docker_bcftools,
cluster_config=cluster_config,
disk_size=disk_size
}

call TNseq.sentieon_TNseq as sentieon_TNseq{
input:
sample_id = sample_id,
@@ -109,6 +161,8 @@ call TNseq.sentieon_TNseq as sentieon_TNseq{
SENTIEON_LICENSE = SENTIEON_LICENSE
}



call bcftools.bcftools as TNseq_bcftools {
input:
vcf=sentieon_TNseq.vcf,
@@ -217,6 +271,18 @@ if (Annovar){
disk_size=disk_size
}

call tmb.TMB as TMB{
input:
sample=sample_id,
hg38_CDS=hg38_CDS,
regions=regions,
snpindel_txt=TNseq_ANNOVAR.multianno_txt,
docker=docker_tmb,
cluster_config=cluster_config,
disk_size=disk_size,
AF_filter=AF_filter
}

call annovar.ANNOVAR as TNscope_ANNOVAR {
input:
vcf=TNscope_bcftools.norm_vcf,
@@ -226,14 +292,25 @@ if (Annovar){
disk_size=disk_size
}

call annovar.ANNOVAR as strelka_ANNOVAR {
call annovar.ANNOVAR as Haplotyper_ANNOVAR {
input:
vcf=strelka_bcftools.norm_vcf,
vcf=Haplotyper_bcftools.norm_vcf,
annovar_database=annovar_database,
docker=docker_annovar,
cluster_config=cluster_config,
disk_size=disk_size
}



# call annovar.ANNOVAR as strelka_ANNOVAR {
# input:
# vcf=strelka_bcftools.norm_vcf,
# annovar_database=annovar_database,
# docker=docker_annovar,
# cluster_config=cluster_config,
# disk_size=disk_size
# }
}

}

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