Explore Workflows

https://github.com/azzaea/tsts.git

Path: cwl/host.sort.workflow.cwl

Branch/Commit ID: master

This demonstrates how to wrap a \"real\" workflow with a checker workflow that runs both the tool and a tool that performs verification of results

https://github.com/dockstore-testing/dockstore-workflow-md5sum-unified.git

Path: checker_workflow_wrapping_workflow.cwl

Branch/Commit ID: 1.3.0

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

Path: tools/rRNA_selection.cwl

Branch/Commit ID: 0cd2d70

This workflow takes the PeptideProphet, and the ProteinProphet output files, and applies a stringent False Discovery Rate (FDR) filtering. Peptide and proteins are filtered individually at 1% FDR. The high-quality PSMs, peptides, and proteins are then quantified using a label-free algorithm that uses the apex peak intensity as a measurement. Finally, the isobaric tags are quantified and annotated with the correct sample labels.

https://github.com/cwl-apps/fragpipe-proteomics-pipeline-tutorial.git

Path: FragPipe-Filter-Quant-Report/fragpipe-filter-quant-report.cwl

Branch/Commit ID: main

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

Path: structuralvariants/cwl/subworkflows/samtools_sort.cwl

Branch/Commit ID: 1.0.6

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

Path: workflows/orf_prediction.cwl

Branch/Commit ID: 71d9c83

https://github.com/uniqueg/RD_pipeline.git

Path: workflow.cwl

Branch/Commit ID: master

https://github.com/hubmapconsortium/sc-atac-seq-pipeline.git

Path: steps/sc_atac_seq_process_and_analyze.cwl

Branch/Commit ID: d0e845d

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

Path: workflows/orf_prediction.cwl

Branch/Commit ID: f914942

https://doi.org/10.1007/s12275-011-1213-z

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

Path: workflows/rna-selector.cwl

Branch/Commit ID: 9c57dba