Explore Workflows

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

Graph Name Retrieved From View
workflow graph scatter-wf3_v1_2.cwl#main

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

Path: testdata/scatter-wf3_v1_2.cwl

Branch/Commit ID: 139c64b55f7693d22e6646b8afe585f90da11dcb

Packed ID: main
workflow graph megahit_pipeline.cwl

https://github.com/EBI-Metagenomics/CWL-assembly.git

Path: cwl/megahit_pipeline.cwl

Branch/Commit ID: 7d4e5f321eef009419f8eb49661e21d432e82537
workflow graph calculate_contamination_workflow.cwl

GATK4.1.2 Calculate tumor-normal contamination workflow

https://github.com/nci-gdc/gatk4_mutect2_cwl.git

Path: subworkflows/calculate_contamination_workflow.cwl

Branch/Commit ID: 02129060b3a92f90daf1328f21b9db49da7a5aca
workflow graph taxonomy_check_16S

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

Path: task_types/tt_taxonomy_check_16S.cwl

Branch/Commit ID: a33936cca222084cf68e00076255359688b6708a
workflow graph RSeQC workflow or single-end samples

This workflow runs the RSeQC quality control workflow

 https://github.com/ncbi/cwl-ngs-workflows-cbb.git

Path: workflows/RSeQC/rseqc-bam-qc-SE.cwl

Branch/Commit ID: b5a440939ac6022ee81aeeb0dd7daf3983228a61
workflow graph helloworld-htcondorcern.cwl

https://github.com/reanahub/reana-demo-helloworld.git

Path: workflow/cwl/helloworld-htcondorcern.cwl

Branch/Commit ID: 0d0e82eb39500eee470b4985de913f8138e41045
workflow graph scatter-valuefrom-wf5.cwl

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

Path: tests/scatter-valuefrom-wf5.cwl

Branch/Commit ID: 5e3fac092a720c5670ae3e787eabe1aaade71d83
workflow graph 1st-workflow.cwl

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

Path: tests/wf/1st-workflow.cwl

Branch/Commit ID: a67c898958f6affc8cb9de05fe87c9228a4fc63e
workflow graph Assess the statistical description of calibration events

When DPPS receives a new DL0 data product, the CalibPipe is triggered to process the calibration events. The CalibPipe performs charge integration and peak time extraction for the entire set of calibration events, and computes aggregated time-series statistics, including the mean, median, and standard deviation. Using these aggregated statistics, the CalibPipe identifies faulty camera pixels, such as those affected by starlight, by applying various outlier detection criteria. Time periods with a significant number of faulty pixels, exceeding a predefined threshold, are flagged as invalid. A refined treatment can then be applied to these time periods to account for the issues.

https://gitlab.cta-observatory.org/cta-computing/dpps/calibrationpipeline/calibpipe.git

Path: workflows/telescope/camera/uc-120-2.21-assess-statistical-description.cwl

Branch/Commit ID: 0ef4c7080b3137b590a437b811fba3c6c2556494
workflow graph Salmon quantification, FASTQ -> H5AD count matrix

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

Path: steps/salmon-quantification.cwl

Branch/Commit ID: 41c6490b9249bb793428a62fcbfe6006f20e2c06