Explore Workflows

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

Graph Name Retrieved From View
workflow graph vcf_concat.cwl

https://github.com/mskcc/ACCESS-Pipeline.git

Path: workflows/subworkflows/vcf_concat.cwl

Branch/Commit ID: master
workflow graph tRNA_selection.cwl

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

Path: tools/tRNA_selection.cwl

Branch/Commit ID: master
workflow graph inpdir_update_wf.cwl

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

Path: tests/inpdir_update_wf.cwl

Branch/Commit ID: main
workflow graph EMG pipeline v3.0 (paired end version)

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

Path: workflows/emg-pipeline-v3-paired.cwl

Branch/Commit ID: master
workflow graph 01-qc-se.cwl

ATAC-seq 01 QC - reads: SE

 https://github.com/Duke-GCB/GGR-cwl.git

Path: v1.0/ATAC-seq_pipeline/01-qc-se.cwl

Branch/Commit ID: v1.0.0
workflow graph minibam_sub_wf.cwl

This is a subworkflow of the main oxog_varbam_annotat_wf workflow - this is not meant to be run as a stand-alone workflow!

https://github.com/ICGC-TCGA-PanCancer/OxoG-Dockstore-Tools.git

Path: minibam_sub_wf.cwl

Branch/Commit ID: master
workflow graph CRAM_md5sum_checker_wrapper.cwl

This wraps the md5sum tool with a checker workflow that runs both the tool and a tool that performs verification of results

https://github.com/DataBiosphere/toolbox.git

Path: CRAM-no-header-md5sum/CRAM_md5sum_checker_wrapper.cwl

Branch/Commit ID: 1.30.0
workflow graph Perform camera calibration

Camera calibration data (from telescope-level calibration events) will be recorded alongside science data during and around each observation night by ACADA. Different calibration event types will be recorded to the different streams at this stage. Interleaved flat-field and sky pedestal events are tagged at the telescope level, allowing the data to directly align with the functional decomposition of the CalibPipe and avoid the need of additional event-type filtering. Following this, pixel- and channel-wise camera calibration coefficients are calculated as a function of time. This process includes the computation of aggregated time-series statistics for the calibration events, as well as the detection of non-nominal pixels and time periods (UC-120-2.21). The aggregated statistics are further processed to derive the sky pedestal offsets per waveform sample, flat-fielding coefficients, and pixel timing corrections. Additionally, the CalibPipe calculates the absolute gain for each pixel and gain channel as a function of time. This process will ultimately yield a multiplicative coefficient for the absolute calibration of extracted charge into photoelectrons. To achieve accurate absolute gain and charge calibration, CalibPipe derives telescope-specific systematic corrections (UC-120-2.22) and the conversion factors from digital counts to single photoelectrons (UC-120-2.23).

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

Path: workflows/telescope/camera/uc-120-2.20-perform-camera-calibration.cwl

Branch/Commit ID: rc-1.0
workflow graph bqsr-distr.cwl

https://github.com/Sentieon/Sentieon-cwl.git

Path: stage/bqsr-distr.cwl

Branch/Commit ID: master
workflow graph exomeseq.cwl#exomeseq-01-preprocessing.cwl

https://github.com/Duke-GCB/bespin-cwl.git

Path: packed/exomeseq.cwl

Branch/Commit ID: qiime2-workflow-paired

Packed ID: exomeseq-01-preprocessing.cwl