Generating a VAF file from one FASTQ file parallelly. And then parallelized read the set of VAF files by vaf_ncm.py.
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  1. import "./tasks/ngscheckmate_fastq.wdl" as ngscheckmate_fastq
  2. workflow {{ project_name }} {
  3. String sample_id
  4. File fastq1
  5. File fastq2
  6. String subsampling_rate
  7. String docker
  8. String cluster_config
  9. String disk_size
  10. Array[File] fastq1_arr = fastq1
  11. Array[File] fastq2_arr = fastq2
  12. scatter (idx in range(length(fastq1_arr))) {
  13. call ngscheckmate_fastq.ngscheckmate_fastq as ngscheckmate_fastq {
  14. input:
  15. sample_id=sample_id,
  16. fastq1=fastq1_arr[idx],
  17. fastq2=fastq2_arr[idx],
  18. subsampling_rate=subsampling_rate,
  19. docker=docker,
  20. disk_size=disk_size,
  21. cluster_config=cluster_config
  22. }
  23. }
  24. }