Explore Workflows

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

Path: definitions/subworkflows/bgzip_and_index.cwl

Branch/Commit ID: downsample_and_recall

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

Path: task_types/tt_gcaccess_from_list.cwl

Branch/Commit ID: dev

https://github.com/common-workflow-language/cwl-v1.2.git

Path: tests/scatter-valuefrom-wf2.cwl

Branch/Commit ID: main

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

Path: definitions/pipelines/panel_of_normals.cwl

Branch/Commit ID: downsample_and_recall

https://github.com/ddbj/human-reseq.git

Path: Workflows/bams2gvcf.woBQSR_female.cwl

Branch/Commit ID: master

Remove sequences which align against a reference set using bowtie2. The references are preformatted (index files)

https://github.com/MG-RAST/pipeline.git

Path: CWL/Workflows/organism-screening.workflow.cwl

Branch/Commit ID: master

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

ChIP-seq - map - PCR Bottleneck Coefficients

https://github.com/alexbarrera/GGR-cwl.git

Path: v1.0/map/pcr-bottleneck-coef.cwl

Branch/Commit ID: master

https://github.com/common-workflow-language/cwl-v1.2.git

Path: tests/count-lines4-wf.cwl

Branch/Commit ID: main

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

Path: vecscreen/bacterial_screening.cwl

Branch/Commit ID: master