Infer and visualize copy number from high-throughput DNA sequencing data.
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- task batch {
- String sample_id
- Array[File] tumor_bam
- Array[File] tumor_bai
- Array[File] normal_bam
- Array[File] normal_bai
- String bed
- File ref_dir
- String fasta
- File access_bed
- String docker
- String cluster_config
- String disk_size
-
- command <<<
- set -o pipefail
- set -e
- mkdir -p /cromwell_root/tmp/cnvkit
- cp ${sep=' ' normal_bai} /cromwell_root/tmp/cnvkit
- cp ${sep=' ' tumor_bai} /cromwell_root/tmp/cnvkit
- cd /cromwell_root/tmp/cnvkit
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- cnvkit.py batch ${sep=' ' tumor_bam} --normal ${sep=' ' normal_bam} \
- --targets ${bed} \
- --fasta ${ref_dir}/${fasta} --access ${access_bed} \
- --output-reference my_reference.cnn --output-dir ./results/ \
- --diagram --scatter
- >>>
-
- runtime {
- docker: docker
- cluster: cluster_config
- systemDisk: "cloud_ssd 40"
- dataDisk: "cloud_ssd " + disk_size + " /cromwell_root/"
- }
-
- output {
- File reference_cnn = "my_reference.cnn"
- Array[File] result = glob("result/*")
- }
- }
-
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