Explore Workflows

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

Graph Name Retrieved From View
workflow graph simple_magicblast.cwl

https://github.com/ncbi/cwl-demos.git

Path: blast-pipelines/simple_magicblast.cwl

Branch/Commit ID: 6e5f11a9e5a136deb39d4798da9c7cf28b912eae
workflow graph HBA_target_VLBI.cwl

https://git.astron.nl/RD/LINC.git

Path: workflows/HBA_target_VLBI.cwl

Branch/Commit ID: dc7a4f725f6e8dde49b0b1db2e3fbde7fb19990a
workflow graph count-lines10-wf.cwl

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

Path: tests/count-lines10-wf.cwl

Branch/Commit ID: eb3f25a9e9414a7dba394f7627e02e63d7f1418c
workflow graph HBA_calibrator.cwl

https://git.astron.nl/eosc/prefactor3-cwl.git

Path: workflows/HBA_calibrator.cwl

Branch/Commit ID: dc7a4f725f6e8dde49b0b1db2e3fbde7fb19990a
workflow graph Subsample BAM file creating a tagAlign and pseudoreplicates

This workflow creates a subsample from a BAM file creating a tagAlign and pseudoreplicates

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

Path: workflows/File-formats/subample-pseudoreplicates.cwl

Branch/Commit ID: 590ed6c9803ba670411c48650bc24deef7863925
workflow graph scatter-wf3_v1_1.cwl#main

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

Path: testdata/scatter-wf3_v1_1.cwl

Branch/Commit ID: b9de3783981045be450b58bd420fadda7d7c81a0

Packed ID: main
workflow graph 1st-workflow.cwl

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

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

Branch/Commit ID: 9b603df77aeb586d122daa2c6c6b1ae40cd54f21
workflow graph FASTQ Vector Removal

This workflow clean up vectros from fastq files

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

Path: workflows/File-formats/remove-fastq-reads-from-blast.cwl

Branch/Commit ID: 590ed6c9803ba670411c48650bc24deef7863925
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: rc-1.0
workflow graph gp_makeblastdb

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

Path: progs/gp_makeblastdb.cwl

Branch/Commit ID: 71e3a42eadc007b66ef4689086530dfc3123d32f