Explore Workflows

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

Graph Name Retrieved From View
workflow graph ST610106.cwl

https://github.com/Marco-Salvi/dtc61.git

Path: ST610106.cwl

Branch/Commit ID: manuela
workflow graph Filter single sample sv vcf from depth callers(cnvkit/cnvnator)

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

Path: definitions/subworkflows/sv_depth_caller_filter.cwl

Branch/Commit ID: downsample_and_recall
workflow graph CRAM_md5sum.cwl

https://github.com/DataBiosphere/topmed-workflows.git

Path: CRAM-no-header-md5sum/md5sum/CRAM_md5sum.cwl

Branch/Commit ID: 1.19.0
workflow graph EMG QC workflow, (paired end version). Benchmarking with MG-RAST expt.

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

Path: workflows/emg-qc-paired.cwl

Branch/Commit ID: 56dafa4
workflow graph bgzip and index VCF

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

Path: definitions/subworkflows/bgzip_and_index.cwl

Branch/Commit ID: master
workflow graph Apply filters to VCF file

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

Path: definitions/subworkflows/filter_vcf_nonhuman.cwl

Branch/Commit ID: master
workflow graph Single-cell Multiome ATAC and RNA-Seq Analyze

Single-cell Multiome ATAC and RNA-Seq Analyze Runs filtering, normalization, scaling, integration (optionally) and clustering for a single or aggregated single-cell Multiome ATAC and RNA-Seq datasets.

 https://github.com/Barski-lab/sc-seq-analysis.git

Path: workflows/sc-multiome-analyze-wf.cwl

Branch/Commit ID: main
workflow graph wf_get_peaks_trim_partial_se.cwl

https://github.com/YeoLab/eclip.git

Path: cwl/wf_get_peaks_trim_partial_se.cwl

Branch/Commit ID: master
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 dynresreq-workflow-inputdefault.cwl

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

Path: tests/dynresreq-workflow-inputdefault.cwl

Branch/Commit ID: main