VEP (Variant Effect Predictor) predicts the functional effects of genomic variants. The annotated VCF will be converted into MAF based on vcf2maf.
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  1. import "./tasks/vcf2maf.wdl" as vcf2maf
  2. workflow {{ project_name }} {
  3. File vcf
  4. String sample_id
  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 vep_docker
  16. String cluster_config
  17. String disk_size
  18. call vcf2maf.vcf2maf as vcf2maf {
  19. input:
  20. vcf=vcf,
  21. sample_id=sample_id,
  22. tumor_id=tumor_id,
  23. normal_id=normal_id,
  24. ref_dir=ref_dir,
  25. fasta=fasta,
  26. vep_path=vep_path,
  27. cache=cache,
  28. ncbi_build=ncbi_build,
  29. species=species,
  30. only_pass=only_pass,
  31. vcf2maf_path=vcf2maf_path,
  32. docker=vep_docker,
  33. cluster_config=cluster_config,
  34. disk_size=disk_size
  35. }
  36. }