For RNA-seq data, from bam/fastq to AS sites files.
Nevar pievienot vairāk kā 25 tēmas Tēmai ir jāsākas ar burtu vai ciparu, tā var saturēt domu zīmes ('-') un var būt līdz 35 simboliem gara.

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  1. task rmats {
  2. String sample_id
  3. File b1_txt_file ## 阿里云不能直接读取txt内容,要建立阿里云和服务器的联系(read_csv)
  4. Array[Array[File]] b1_txt = read_csv(b1_txt_file)
  5. File b2_txt_file
  6. Array[Array[File]] b2_txt = read_csv(b2_txt_file)
  7. File reference_gtf_file
  8. String docker
  9. String cluster
  10. String disk_size
  11. command <<<
  12. set -o pipefail
  13. set -e
  14. mkdir -p ${sample_id}/output
  15. mkdir -p ${sample_id}/tmp_output
  16. ### 命令行无需修改
  17. python /usr/local/bin/rmats.py --b1 ${b1_txt} \
  18. --b2 ${b2_txt} \
  19. --gtf ${reference_gtf_file} \
  20. -t paired \
  21. --readLength 150 \
  22. --nthread 4 \
  23. --od ${sample_id}/output \
  24. --tmp ${sample_id}/tmp_output
  25. find . -depth > fileList.txt
  26. >>>
  27. runtime {
  28. docker: docker
  29. cluster: cluster
  30. systemDisk: "cloud_ssd 40"
  31. dataDisk: "cloud_ssd " + disk_size + " /cromwell_root/"
  32. }
  33. output {
  34. File fileList = "fileList.txt"
  35. Array[File] AS_txt = glob("${sample_id}/output/*.txt")
  36. Array[File] tmp = glob("${sample_id}/output/tmp/*")
  37. }
  38. }