Explore Workflows

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

Graph Name Retrieved From View
workflow graph cgpRna_with_infuse.cwl

https://github.com/cancerit/cgpRna.git

Path: cwls/cgpRna_with_infuse.cwl

Branch/Commit ID: feature/test_for_cwlviewer
workflow graph Quality assessment, amplicon classification and functional prediction

Workflow for quality assessment of paired reads and classification using NGTax 2.0 and functional annotation using picrust2. In addition files are exported to their respective subfolders for easier data management in a later stage. Steps: - FastQC (read quality control) - NGTax 2.0 - Picrust 2 - Export module for ngtax

https://git.wur.nl/unlock/cwl.git

Path: cwl/workflows/workflow_ngtax_picrust2.cwl

Branch/Commit ID: master
workflow graph tRNA_selection.cwl

https://github.com/EBI-Metagenomics/ebi-metagenomics-cwl.git

Path: tools/tRNA_selection.cwl

Branch/Commit ID: 3f85843
workflow graph chksum_for_corrupted_fastq_files.cwl

https://github.com/cancerit/workflow-seq-import.git

Path: cwls/chksum_for_corrupted_fastq_files.cwl

Branch/Commit ID: develop
workflow graph wf-loadContents4.cwl

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

Path: tests/wf-loadContents4.cwl

Branch/Commit ID: main
workflow graph wgs alignment with qc

https://github.com/fgomez02/analysis-workflows.git

Path: definitions/pipelines/wgs_alignment.cwl

Branch/Commit ID: No_filters_detect_variants
workflow graph download_gtf.cwl

https://github.com/yyoshiaki/VIRTUS2.git

Path: workflow/download_gtf.cwl

Branch/Commit ID: master
workflow graph main.cwl

https://github.com/kyusque/abmp_log_dump2pieda.git

Path: main.cwl

Branch/Commit ID: master
workflow graph chksum_xam_to_interleaved_fq.cwl

https://github.com/cancerit/workflow-seq-import.git

Path: cwls/chksum_xam_to_interleaved_fq.cwl

Branch/Commit ID: 0.5.0_test
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