Explore Workflows
View already parsed workflows here or click here to add your own
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Varscan Workflow
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![]() Path: definitions/subworkflows/varscan_pre_and_post_processing.cwl Branch/Commit ID: master |
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Whole Genome Sequence processing workflow scattered over samples
<p>This is a “real-world” workflow example for processing Next Generation Sequencing (NGS) Whole Genome Sequence (WGS) data.</p> <p>You can learn more and run this workflow yourself by going through the <a href=\"https://doc.arvados.org/main/user/tutorials/wgs-tutorial.html\">Processing Whole Genome Sequences</a> walkthrough in the Arvados user guide.</p> <p>The steps of this workflow include:</p> <ol> <li>Check of fastq quality using FastQC</li> <li>Local alignment using BWA-MEM</li> <li>Variant calling in parallel using GATK Haplotype Caller</li> <li>Generation of an HTML report comparing variants against ClinVar archive</li> </ol> <p>The primary input parameter is the <b>Directory of paired FASTQ files</b>, which should contain paired FASTQ files (suffixed with _1 and _2) to be processed. The workflow scatters over the samples to process them in parallel.</p> <p>The remaining parameters are reference data used by various tools in the pipeline.</p> |
![]() Path: WGS-processing/cwl/wgs-processing-wf.cwl Branch/Commit ID: main |
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count-lines11-null-step-wf.cwl
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![]() Path: tests/count-lines11-null-step-wf.cwl Branch/Commit ID: main |
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bacterial_screening.cwl
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![]() Path: vecscreen/bacterial_screening.cwl Branch/Commit ID: master |
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FragPipe: ProteinProphet
This workflow step takes the PeptideProphet output files from the first step containing the peptide validation and calculates the protein inference using ProteinProphet. |
![]() Path: FragPipe-ProteinProphet/fragpipe-proteinprophet.cwl Branch/Commit ID: main |
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heatmap-prepare.cwl
Workflow runs homer-make-tag-directory.cwl tool using scatter for the following inputs - bam_file - fragment_size - total_reads `dotproduct` is used as a `scatterMethod`, so one element will be taken from each array to construct each job: 1) bam_file[0] fragment_size[0] total_reads[0] 2) bam_file[1] fragment_size[1] total_reads[1] ... N) bam_file[N] fragment_size[N] total_reads[N] `bam_file`, `fragment_size` and `total_reads` arrays should have the identical order. |
![]() Path: tools/heatmap-prepare.cwl Branch/Commit ID: master |
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collate_unique_SSU_headers.cwl
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![]() Path: tools/collate_unique_SSU_headers.cwl Branch/Commit ID: 3168316 |
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inpdir_update_wf.cwl
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![]() Path: tests/inpdir_update_wf.cwl Branch/Commit ID: main |
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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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workflow_inputs.cwl
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![]() Path: wdl2cwl/tests/cwl_files/workflow_inputs.cwl Branch/Commit ID: main |