Explore Workflows

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

Graph Name Retrieved From View
workflow graph word-mapping-test-files-wf.cwl#main

https://github.com/KBNLresearch/ochre.git

Path: ochre/cwl/word-mapping-test-files-wf.cwl

Branch/Commit ID: bfd504ae910fbf7a3492f53430a1c9f3c3c97470

Packed ID: main

workflow graph kmer_cache_store

https://github.com/ncbi/pgap.git

Path: task_types/tt_kmer_cache_store.cwl

Branch/Commit ID: 72804b6506c9f54ec75627f82aafe6a28d7a49fa

workflow graph Detect Variants workflow

https://github.com/genome/analysis-workflows.git

Path: definitions/pipelines/detect_variants.cwl

Branch/Commit ID: 39ac49f5d080bbb6bfa97246f46a5b621254f622

workflow graph 5S-from-tablehits.cwl

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

Path: tools/5S-from-tablehits.cwl

Branch/Commit ID: b6d3aaf3fa6695061208c6cdca3d7881cc45400d

workflow graph FastQC - a quality control tool for high throughput sequence data

FastQC - a quality control tool for high throughput sequence data ===================================== FastQC aims to provide a simple way to do some quality control checks on raw sequence data coming from high throughput sequencing pipelines. It provides a modular set of analyses which you can use to give a quick impression of whether your data has any problems of which you should be aware before doing any further analysis. The main functions of FastQC are: - Import of data from FastQ files (any variant) - Providing a quick overview to tell you in which areas there may be problems - Summary graphs and tables to quickly assess your data - Export of results to an HTML based permanent report - Offline operation to allow automated generation of reports without running the interactive application

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

Path: workflows/fastqc.cwl

Branch/Commit ID: 2f0db4b3c515f91c5cfda19c78cf90d339390986

workflow graph Cut-n-Run pipeline paired-end

Experimental pipeline for Cut-n-Run analysis. Uses mapping results from the following experiment types: - `chipseq-pe.cwl` - `trim-chipseq-pe.cwl` - `trim-atacseq-pe.cwl` Note, the upstream analyses should not have duplicates removed

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

Path: workflows/trim-chipseq-pe-cut-n-run.cwl

Branch/Commit ID: 1131f82a53315cca217a6c84b3bd272aa62e4bca

workflow graph js-expr-req-wf.cwl#wf

https://github.com/common-workflow-language/cwltool.git

Path: cwltool/schemas/v1.0/v1.0/js-expr-req-wf.cwl

Branch/Commit ID: 814bd0405a7701efc7d63e8f0179df394c7766f7

Packed ID: wf

workflow graph workflow.cwl

https://github.com/nal-i5k/organism_onboarding.git

Path: flow_dispatch/2working_files/workflow.cwl

Branch/Commit ID: 7198756b4b1519d102178042924671bd677e9b17

workflow graph 3stepWorkflow.cwl

https://github.com/giannisdoukas/CWLJNIKernel.git

Path: tests/cwl/3stepWorkflow.cwl

Branch/Commit ID: e07959c147a9a4f5470f5ed3c22e37356ec92197

workflow graph CODEX analysis pipeline using Cytokit

https://github.com/hubmapconsortium/codex-pipeline.git

Path: steps/ometiff_second_stitching.cwl

Branch/Commit ID: b23af942f4a1169fc3d331272fd56ae878af6c1d