Explore Workflows

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

Path: tests/pass-unconnected.cwl

Branch/Commit ID: master

https://github.com/hpobio-lab/viral-analysis.git

Path: cwl/fastq2fasta/fastq2fasta-create-bwaindex.cwl

Branch/Commit ID: master

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

Path: workflows/waltz/waltz-workflow.cwl

Branch/Commit ID: master

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

Path: workflows/marianas/collapsed_fastq_to_bam.cwl

Branch/Commit ID: 0.0.33_dmp

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

Path: tools/SSU-from-tablehits.cwl

Branch/Commit ID: 8515542

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

Derive parameters relevant for shadowing components of the telescopes.

https://github.com/gammasim/workflows.git

Path: workflows/SetTelescopeShadowingParameters.cwl

Branch/Commit ID: main

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

Path: workflows/subworkflows/msi.cwl

Branch/Commit ID: master

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

Path: workflows/trim_and_reformat_reads.cwl

Branch/Commit ID: master

DNase-seq - map - Filter PCR Artifacts

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

Path: v1.0/map/filter-pcr-artifacts.cwl

Branch/Commit ID: master