Explore Workflows
View already parsed workflows here or click here to add your own
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facets-workflow.cwl
Workflow for running Facets-suite on a set of tumor normal pairs This workflow scatters over all the pairs in the input JSON to run all samples in parallel Input JSON format ----------------- { \"pairs\": [ { \"tumor_bam\": { \"class\": \"File\", \"path\": \"/test_data/bam/Tumor1.rg.md.abra.printreads.bam\" }, \"normal_bam\": { \"class\": \"File\", \"path\": \"/test_data/bam/Normal1.rg.md.abra.printreads.bam\" }, \"pair_maf\": { \"class\": \"File\", \"path\": \"/test_data/bam/Tumor1.Normal1.maf\" }, \"pair_id\": \"Tumor1.Normal1\" }, { \"tumor_bam\": { \"class\": \"File\", \"path\": \"/test_data/bam/Tumor2.rg.md.abra.printreads.bam\" }, \"normal_bam\": { \"class\": \"File\", \"path\": \"/test_data/bam/Normal2.rg.md.abra.printreads.bam\" }, \"pair_maf\": { \"class\": \"File\", \"path\": \"/test_data/bam/Tumor2.Normal2.maf\" }, \"pair_id\": \"Tumor2.Normal2\" } ] } Output format ------------- output └── facets-suite ├── Tumor1.Normal1.arm_level.txt ├── Tumor1.Normal1.gene_level.txt ├── Tumor1.Normal1_hisens.ccf.maf ├── Tumor1.Normal1_hisens.rds ├── Tumor1.Normal1_hisens.seg ├── Tumor1.Normal1_purity.rds ├── Tumor1.Normal1_purity.seg ├── Tumor1.Normal1.qc.txt ├── Tumor1.Normal1.snp_pileup.gz ├── Tumor1.Normal1.txt ├── Tumor2.Normal2.arm_level.txt ├── Tumor2.Normal2.gene_level.txt ├── Tumor2.Normal2_hisens.ccf.maf ├── Tumor2.Normal2_hisens.rds ├── Tumor2.Normal2_hisens.seg ├── Tumor2.Normal2_purity.rds ├── Tumor2.Normal2_purity.seg ├── Tumor2.Normal2.qc.txt ├── Tumor2.Normal2.snp_pileup.gz ├── Tumor2.Normal2.txt └── logs ├── success └── failed |
Path: cwl/facets-workflow.cwl Branch/Commit ID: master |
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somatic_exome: exome alignment and somatic variant detection
somatic_exome is designed to perform processing of mutant/wildtype H.sapiens exome sequencing data. It features BQSR corrected alignments, 4 caller variant detection, and vep style annotations. Structural variants are detected via manta and cnvkit. In addition QC metrics are run, including somalier concordance metrics. example input file = analysis_workflows/example_data/somatic_exome.yaml |
Path: definitions/pipelines/somatic_exome.cwl Branch/Commit ID: master |
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oxog_sub_wf.cwl
This is a subworkflow of the main oxog_varbam_annotat_wf workflow - this is not meant to be run as a stand-alone workflow! |
Path: oxog_sub_wf.cwl Branch/Commit ID: master |
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md5sum-workflow.cwl
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Path: md5sum/md5sum-workflow.cwl Branch/Commit ID: master |
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validate_interleaved_fq.cwl
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Path: cwls/validate_interleaved_fq.cwl Branch/Commit ID: 0.5.0 |
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tRNA_selection.cwl
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Path: tools/tRNA_selection.cwl Branch/Commit ID: 9c57dba |
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emblem_textures.cwl
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Path: textures/emblem_textures.cwl Branch/Commit ID: cwl |
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pindel parallel workflow
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Path: definitions/subworkflows/pindel.cwl Branch/Commit ID: No_filters_detect_variants |
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Nested workflow example
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Path: tests/wf/double-nested.cwl Branch/Commit ID: main |
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extract_gencoll_ids
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Path: task_types/tt_extract_gencoll_ids.cwl Branch/Commit ID: dev |
