Explore Workflows

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

Graph Name Retrieved From View
workflow graph EMG assembly for paired end Illumina

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

Path: workflows/emg-assembly.cwl

Branch/Commit ID: 3f85843
workflow graph EMG assembly for paired end Illumina

https://github.com/EBI-Metagenomics/ebi-metagenomics-cwl.git

Path: workflows/emg-assembly.cwl

Branch/Commit ID: ca6ca613
workflow graph Genome conversion and annotation

Workflow for genome annotation from EMBL format

 https://git.wur.nl/unlock/cwl.git

Path: cwl/workflows/workflow_sapp_others.cwl

Branch/Commit ID: master
workflow graph hello_world.cwl

https://github.com/dockstore/hello_world.git

Path: hello_world.cwl

Branch/Commit ID: 1.03
workflow graph Find reads with predicted coding sequences above 60 AA in length

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

Path: workflows/orf_prediction.cwl

Branch/Commit ID: c1f8b22
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 cmsearch-multimodel.cwl

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

Path: workflows/cmsearch-multimodel.cwl

Branch/Commit ID: c211071
workflow graph run-openfoam.cwl

https://github.com/chgarth/cwl-openfoam.git

Path: cwl/run-openfoam.cwl

Branch/Commit ID: main
workflow graph annotator_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/pcawg-snv-indel-annotation.git

Path: annotator_sub_wf.cwl

Branch/Commit ID: develop
workflow graph Transcriptome assembly workflow (single-end version)

https://github.com/mscheremetjew/workflow-is-cwl.git

Path: workflows/TranscriptomeAssembly-wf.single-end.cwl

Branch/Commit ID: assembly