For RNA-seq data, from bam/fastq to AS sites files.
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- task rmats {
- String sample_id
- File b1_txt_file
- Array[Array[File]] b1_txt = read_csv(b1_txt_file)
- File b2_txt_file
- Array[Array[File]] b2_txt = read_csv(b2_txt_file)
- File reference_gtf_file
-
-
- String docker
- String cluster
- String disk_size
-
-
-
- command <<<
- set -o pipefail
- set -e
-
- mkdir -p ${sample_id}/output
- mkdir -p ${sample_id}/tmp_output
- python /usr/local/bin/rmats.py --b1 ${b1_txt} \
- --b2 ${b2_txt} \
- --gtf ${reference_gtf_file} \
- -t paired \
- --readLength 150 \
- --nthread 4 \
- --od ${sample_id}/output \
- --tmp ${sample_id}/tmp_output
-
- find . -depth > fileList.txt
- >>>
-
- runtime {
- docker: docker
- cluster: cluster
- systemDisk: "cloud_ssd 40"
- dataDisk: "cloud_ssd " + disk_size + " /cromwell_root/"
- }
-
- output {
- File fileList = "fileList.txt"
- Array[File] AS_txt = glob("${sample_id}/output/*.txt")
- Array[File] tmp = glob("${sample_id}/output/tmp/*")
- }
- }
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