Explore Workflows

View already parsed workflows here or click here to add your own

Graph Name Retrieved From View
workflow graph Find reads with predicted coding sequences above 60 AA in length

https://github.com/proteinswebteam/ebi-metagenomics-cwl.git

Path: workflows/orf_prediction.cwl

Branch/Commit ID: master
workflow graph 01-qc-pe.cwl

STARR-seq 01 QC - reads: PE

 https://github.com/Duke-GCB/GGR-cwl.git

Path: v1.0/STARR-seq_pipeline/01-qc-pe.cwl

Branch/Commit ID: master
workflow graph textures.cwl

Create emblem textures

 https://github.com/undu/stellaris-emblem-lab.git

Path: textures/textures.cwl

Branch/Commit ID: master
workflow graph cnv_codex

CNV CODEX calling

https://gitlab.bsc.es/lrodrig1/structuralvariants_poc.git

Path: structuralvariants/cwl/subworkflows/cnv_codex.cwl

Branch/Commit ID: 1.0.5
workflow graph Salmon quantification, FASTQ -> H5AD count matrix

https://github.com/hubmapconsortium/multiome-rna-atac-pipeline.git

Path: salmon-rnaseq/steps/salmon-quantification.cwl

Branch/Commit ID: 999afe5
workflow graph 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>

https://github.com/arvados/arvados-tutorial.git

Path: WGS-processing/cwl/wgs-processing-wf.cwl

Branch/Commit ID: main
workflow graph ConcordanceCheckerWorkflow.cwl

https://github.com/DataBiosphere/topmed-workflows.git

Path: vcf-comparator/ConcordanceCheckerWorkflow.cwl

Branch/Commit ID: 1.16.0
workflow graph zip_and_index_vcf.cwl

This is a very simple workflow of two steps. It will zip an input VCF file and then index it. The zipped file and the index file will be in the workflow output.

https://github.com/ICGC-TCGA-PanCancer/OxoG-Dockstore-Tools.git

Path: zip_and_index_vcf.cwl

Branch/Commit ID: master
workflow graph varscan somatic workflow

https://github.com/apaul7/cancer-genomics-workflow.git

Path: definitions/subworkflows/varscan.cwl

Branch/Commit ID: low-vaf
workflow graph Transcriptome assembly workflow (paired-end version)

https://github.com/EBI-Metagenomics/workflow-is-cwl.git

Path: workflows/TranscriptomeAssembly-wf.paired-end.cwl

Branch/Commit ID: assembly