Integrate the graphs across samples, to form one merged splicing graph (per gene).
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  1. task spladder {
  2. String sample_id
  3. Array[File] bam
  4. Array[File] bai
  5. Array[File] pickle
  6. File reference_gtf_file
  7. String docker
  8. String cluster
  9. String disk_size
  10. command <<<
  11. set -o pipefail
  12. set -e
  13. mkdir -p ${sample_id}/spladder_out
  14. sed ':a ; N;s/\n/,/ ; t a ; ' bam > alignment.txt
  15. for i in ${sep=" " pickle}
  16. do
  17. ln -s $i ${sample_id}/spladder_out/$i
  18. echo ${sample_id}/spladder_out/$i
  19. echo ${sample_id}/spladder_out/$i >> pickle.txt
  20. done
  21. find . -depth > fileList.txt
  22. >>>
  23. runtime {
  24. docker: docker
  25. cluster: cluster
  26. systemDisk: "cloud_ssd 40"
  27. dataDisk: "cloud_ssd " + disk_size + " /cromwell_root/"
  28. }
  29. output {
  30. File fileList = "fileList.txt"
  31. File alignment = "alignment.txt"
  32. File pickle_txt = "pickle.txt"
  33. }
  34. }