VEP (Variant Effect Predictor) predicts the functional effects of genomic variants. The annotated VCF will be converted into MAF based on vcf2maf.
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
|
- task vcf2maf {
-
- File vcf
- String basename = basename(vcf,".vcf")
- String tumor_id
- String normal_id
- File ref_dir
- String fasta
- String vep_path
- File cache
- String ncbi_build
- String species
- Boolean only_pass
- String docker
- String cluster_config
- String disk_size
-
-
- command <<<
- set -o pipefail
- set -e
- nt=$(nproc)
-
- if [ only_pass ]; then
- awk -F'\t' '{if(($1~"^#")||($1!~"^#" && $7=="PASS")){print $0}}' ${vcf} > input_vcf
- else
- cat ${vcf} > input_vcf
- fi
-
- perl /opt/mskcc-vcf2maf/vcf2maf.pl \
- --input-vcf ${input_vcf} --output-maf ${basename}.maf \
- --tumor-id ${tumor_id} --normal-id ${normal_id} \
- --ref-fasta ${ref_dir}/${fasta} \
- --vep-path ${vep_path} \
- --vep-data ${cache} \
- --ncbi-build ${ncbi_build} \
- --species ${species} \
- --vep-fork $nt
- >>>
-
- runtime {
- docker: docker
- cluster: cluster_config
- systemDisk: "cloud_ssd 40"
- dataDisk: "cloud_ssd " + disk_size + " /cromwell_root/"
- }
-
- output {
- File maf = "${basename}.maf"
- }
- }
|