VEP (Variant Effect Predictor) predicts the functional effects of genomic variants. The annotated VCF will be converted into MAF based on vcf2maf.
選択できるのは25トピックまでです。 トピックは、先頭が英数字で、英数字とダッシュ('-')を使用した35文字以内のものにしてください。

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  1. task VEP {
  2. File vcf
  3. String sample_id
  4. String basename = basename(vcf,".vcf")
  5. String tumor_id
  6. String normal_id
  7. File ref_dir
  8. String fasta
  9. String vep_path
  10. File cache
  11. String ncbi_build
  12. String species
  13. Boolean only_pass
  14. String vcf2maf_path
  15. String docker
  16. String cluster_config
  17. String disk_size
  18. command <<<
  19. set -o pipefail
  20. set -e
  21. nt=$(nproc)
  22. awk -F'\t' '{if(($1~"^#")||($1!~"^#" && $7=="PASS")){print $0}}' ${vcf} > ${sample_id}.PASS.vcf
  23. # Extract the BND variants from VCF
  24. # awk -F'\t' '{if(($1~"^#")||($8!~".*SVTYPE=BND.*")){print $0}}' ${sample_id}.PASS.vcf > ${sample_id}.PASS.vcf2maf.vcf
  25. # awk -F'\t' '{if(($1~"^#")||($8~".*SVTYPE=BND.*")){print $0}}' ${sample_id}.PASS.vcf > ${sample_id}.INPUT.VEP.vcf
  26. # vcf2maf
  27. # perl ${vcf2maf_path}/vcf2maf.pl \
  28. # --input-vcf ${sample_id}.PASS.vcf2maf.vcf --output-maf ${basename}.maf \
  29. # --tumor-id ${tumor_id} --normal-id ${normal_id} \
  30. # --ref-fasta ${ref_dir}/${fasta} \
  31. # --vep-path ${vep_path} \
  32. # --vep-data ${cache} \
  33. # --ncbi-build ${ncbi_build} \
  34. # --species ${species} \
  35. # --vep-fork $nt
  36. # vep
  37. perl ${vep_path}/vep \
  38. --input_file ${sample_id}.PASS.vcf --output_file ${basename}.vep.vcf \
  39. --fasta ${ref_dir}/${fasta} \
  40. --dir ${cache} \
  41. --assembly ${ncbi_build} \
  42. --species ${species} \
  43. --fork $nt \
  44. --format vcf --vcf \
  45. --no_progress --no_stats --buffer_size 5000 --sift b --ccds --uniprot --hgvs --symbol --numbers --domains --gene_phenotype --canonical --protein --biotype --uniprot --tsl --variant_class --shift_hgvs 1 --check_existing --total_length --allele_number --no_escape --xref_refseq --failed 1 --flag_pick_allele --pick_order canonical,tsl,biotype,rank,ccds,length --force_overwrite --offline --pubmed --regulatory
  46. # vcf2maf
  47. perl ${vcf2maf_path}/vcf2maf.pl \
  48. --inhibit-vep \
  49. --input-vcf ${basename}.vep.vcf --output-maf ${basename}.maf \
  50. --tumor-id ${tumor_id} --normal-id ${normal_id} \
  51. --ref-fasta ${ref_dir}/${fasta} \
  52. --vep-fork $nt
  53. >>>
  54. runtime {
  55. docker: docker
  56. cluster: cluster_config
  57. systemDisk: "cloud_ssd 40"
  58. dataDisk: "cloud_ssd " + disk_size + " /cromwell_root/"
  59. }
  60. output {
  61. File input_vcf = "${sample_id}.PASS.vcf"
  62. File vep_vcf = "${basename}.vep.vcf"
  63. File maf = "${basename}.maf"
  64. }
  65. }