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. echo ${bam} > bam.txt
  15. sed ':a ; N;s/\n/,/ ; t a ; ' bam.txt > alignment.txt
  16. for i in ${sep=" " pickle}
  17. do
  18. ln -s $i ${sample_id}/spladder_out/$i
  19. echo ${sample_id}/spladder_out/$i
  20. echo ${sample_id}/spladder_out/$i >> pickle.txt
  21. done
  22. find . -depth > fileList.txt
  23. >>>
  24. runtime {
  25. docker: docker
  26. cluster: cluster
  27. systemDisk: "cloud_ssd 40"
  28. dataDisk: "cloud_ssd " + disk_size + " /cromwell_root/"
  29. }
  30. output {
  31. File fileList = "fileList.txt"
  32. File alignment = "alignment.txt"
  33. File pickle_txt = "pickle.txt"
  34. }
  35. }