Explore Workflows

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

Graph Name Retrieved From View
workflow graph gdc_dnaseq_ar_workflow.cwl

https://github.com/NCI-GDC/gdc-dnaseq-cwl.git

Path: subworkflows/main/gdc_dnaseq_ar_workflow.cwl

Branch/Commit ID: master

workflow graph gdc_dnaseq_main_workflow.cwl

https://github.com/NCI-GDC/gdc-dnaseq-cwl.git

Path: subworkflows/main/gdc_dnaseq_main_workflow.cwl

Branch/Commit ID: master

workflow graph count-lines15-wf.cwl

https://github.com/common-workflow-language/cwl-v1.1.git

Path: tests/count-lines15-wf.cwl

Branch/Commit ID: main

workflow graph md5-validate.cwl

https://github.com/mr-c/4dn-dcic-pipelines-cwl.git

Path: cwl_awsem_v1/md5-validate.cwl

Branch/Commit ID: dev2

workflow graph scRNA-seq pipeline using Salmon and Alevin

https://github.com/hubmapconsortium/salmon-rnaseq.git

Path: pipeline.cwl

Branch/Commit ID: 72cf42a

workflow graph Exome QC workflow

https://github.com/markrobbo/workflows.git

Path: workflows/hello/exome_alignment_packed.cwl

Branch/Commit ID: master

Packed ID: workflow_exome.cwl

workflow graph presto_nosort.cwl

https://github.com/eosc-lofar/presto-cwl.git

Path: presto_nosort.cwl

Branch/Commit ID: visualise

workflow graph qiime2 identify differentially abundant features

Differential abundance testing with ANCOM from https://docs.qiime2.org/2018.4/tutorials/moving-pictures/

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

Path: packed/qiime2-step2-dada2.cwl

Branch/Commit ID: qiime2-workflow-paired

Packed ID: qiime2-09-ancom.cwl

workflow graph rRNA_selection.cwl

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

Path: tools/rRNA_selection.cwl

Branch/Commit ID: 3168316

workflow graph biowardrobe_chipseq_se.cwl

The workflow is used to run CHIP-Seq basic analysis with single-end input FASTQ file. In outputs it returns coordinate sorted BAM file alongside with index BAI file, quality statistics of the input FASTQ file, reads coverage in a form of bigWig file, peaks calling data in a form of narrowPeak or broadPeak files.

https://github.com/Barski-lab/ga4gh_challenge.git

Path: biowardrobe_chipseq_se.cwl

Branch/Commit ID: v0.0.3