Explore Workflows
View already parsed workflows here or click here to add your own
Graph | Name | Retrieved From | View |
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strelka workflow
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![]() Path: definitions/subworkflows/strelka_and_post_processing.cwl Branch/Commit ID: 040a3d1a719736d7fce6db83702d3fb7f9d69eac |
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Apply filters to VCF file
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![]() Path: definitions/subworkflows/filter_vcf.cwl Branch/Commit ID: 040a3d1a719736d7fce6db83702d3fb7f9d69eac |
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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: 8c4e7372247a7f4ed9ed478ef8ea1d239bc88af0 |
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Run pindel on provided region
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![]() Path: definitions/subworkflows/pindel_region.cwl Branch/Commit ID: 31a179d7a2f2ac86bfd7fcc4dc79832c3739ae76 |
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exome alignment and germline variant detection, with optitype for HLA typing
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![]() Path: definitions/pipelines/germline_exome_hla_typing.cwl Branch/Commit ID: 8c4e7372247a7f4ed9ed478ef8ea1d239bc88af0 |
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exome alignment with qc, no bqsr, no verify_bam_id
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![]() Path: definitions/pipelines/alignment_exome_mouse.cwl Branch/Commit ID: 457e101e3fb87e7fd792357afce00ed8ccbfbcdb |
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exome alignment and somatic variant detection
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![]() Path: definitions/pipelines/somatic_exome.cwl Branch/Commit ID: 195b4ab487c939eb32a55d9f78bc1befd100caae |
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1st-workflow.cwl
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![]() Path: tests/wf/1st-workflow.cwl Branch/Commit ID: 5ef2516220cd2ed327ba7966e7d812de969f4eea |
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Subworkflow to allow calling cnvkit with cram instead of bam files
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![]() Path: definitions/subworkflows/cram_to_cnvkit.cwl Branch/Commit ID: f21b6c6f70f01d0fe08193684060161107f0bf59 |
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process VCF workflow
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![]() Path: definitions/subworkflows/strelka_process_vcf.cwl Branch/Commit ID: e7e888df9e7d44f036c4c7985e474016ee9e6525 |