Explore Workflows

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

Path: tools/tRNA_selection.cwl

Branch/Commit ID: 1b0851e

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

https://doi.org/10.1007/s12275-011-1213-z

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

Path: workflows/rna-selector.cwl

Branch/Commit ID: master

https://github.com/common-workflow-language/common-workflow-language.git

Path: v1.0/v1.0/count-lines17-wf.cwl

Branch/Commit ID: master

https://github.com/NCATS-Tangerine/ros.git

Path: ros/wf5/wf52.cwl

Branch/Commit ID: master

run 2-pass dedup: algo LocusCollector + algo Dedup sequentially in distributed mode

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

Path: stage/dedup-2-pass-distr.cwl

Branch/Commit ID: master

Annotate variants provided in a gziped VCF using SnpEff

https://github.com/andrewjesaitis/cwl-tutorial.git

Path: snpeff-workflow.cwl

Branch/Commit ID: master

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

Path: definitions/subworkflows/strelka_and_post_processing.cwl

Branch/Commit ID: No_filters_detect_variants

This is a very simple workflow of two steps. It will zip an input VCF file and then index it. The zipped file and the index file will be in the workflow output.

https://github.com/svonworl/OxoG-Dockstore-Tools.git

Path: zip_and_index_vcf.cwl

Branch/Commit ID: master

https://github.com/hubmapconsortium/sc-atac-seq-pipeline.git

Path: bulk-atac-seq-pipeline.cwl

Branch/Commit ID: 5465f66