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Graph Name Retrieved From View
workflow graph functional analysis prediction with InterProScan

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

Path: workflows/functional_analysis.cwl

Branch/Commit ID: c1f8b22
workflow graph fail-unconnected.cwl

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

Path: tests/fail-unconnected.cwl

Branch/Commit ID: main
workflow graph chksum_seqval_wf_paired_fq.cwl

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

Path: cwls/chksum_seqval_wf_paired_fq.cwl

Branch/Commit ID: v0.1.0
workflow graph SSU-from-tablehits.cwl

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

Path: tools/SSU-from-tablehits.cwl

Branch/Commit ID: ef3c7b2
workflow graph scatter-wf3.cwl#main

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

Path: tests/scatter-wf3.cwl

Branch/Commit ID: main

Packed ID: main
workflow graph qiime2 diversity analyses

Alpha and beta diversity analysis from https://docs.qiime2.org/2018.4/tutorials/moving-pictures/

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

Path: packed/qiime2-step3-alpha-analysis.cwl

Branch/Commit ID: qiime2-workflow-paired

Packed ID: qiime2-06-alpha-beta-diversity.cwl
workflow graph PrediXcan

Predict.py has been wrapped in cwl, getting the information from: https://github.com/hakyimlab/MetaXcan/wiki/Individual-level-PrediXcan:-introduction,-tutorials-and-manual Here is a snippet from: https://github.com/hakyimlab/MetaXcan/wiki/Individual-level-PrediXcan:-introduction,-tutorials-and-manual In the following, we focus on the individual-level implementation of PrediXcan. The method was originally implemented in this repository. PrediXcan consists of two steps: Predict gene expression (or whatever biology the models predict) in a cohort with available genotypes Run associations to a trait measured in the cohort The first step is implemented in Predict.py. The prediction models are trained and pre-compiled on specific data sets with their own human genome releases and variant definitions. We implemented a few rules to support variant matching from genotypes based on different variant definitions. In the following, mapping refers to the process of assigning a model variant to a genotype variant. Originally, PrediXcan was applied to genes so we say \"gene expression\" a lot as it was the mechanism we initially studied. But conceptually, everything said here applies to any intermediate/molecular mechanism such as splicing or brain morphology. Whenever we say \"gene\", it generally could mean a splicing intron event, etc.

 https://github.com/cwl-apps/predixcan_tools.git

Path: predixcan/predixcan_unpack.cwl

Branch/Commit ID: main
workflow graph Per-region pindel

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

Path: definitions/subworkflows/pindel_cat.cwl

Branch/Commit ID: downsample_and_recall
workflow graph exome alignment and germline variant detection

https://github.com/apaul7/cancer-genomics-workflow.git

Path: definitions/subworkflows/germline_detect_variants.cwl

Branch/Commit ID: low-vaf
workflow graph tRNA_selection.cwl

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

Path: tools/tRNA_selection.cwl

Branch/Commit ID: master