Explore Workflows

SplitAndSubsample splits, subsamples and formats read files to be deposited in QualityFilter.

https://github.com/longbow0/cwl.git

Path: v1.8/rhapsody_targeted_1.8.cwl

Branch/Commit ID: master

Packed ID: SplitAndSubsample.cwl

Annotate variants provided in a VCF using SnpEff

https://github.com/cr-ste-justine/chujs-alignment-workflow.git

Path: tools/snpeff-workflow.cwl

Branch/Commit ID: dev

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

Path: definitions/subworkflows/mutect.cwl

Branch/Commit ID: downsample_and_recall

https://gitlab.bsc.es/lrodrig1/structuralvariants_poc.git

Path: structuralvariants/cwl/subworkflows/bwa_mem.cwl

Branch/Commit ID: master

https://github.com/golharam/cwl-graph-generate.git

Path: test/1st-workflow.cwl

Branch/Commit ID: master

https://github.com/KBNLresearch/ochre.git

Path: ochre/cwl/kb-tss-preprocess-all.cwl

Branch/Commit ID: master

Packed ID: align-texts-wf.cwl

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

Some workflow engines won't stage files in our nested structure, so parse it out here

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

Path: definitions/subworkflows/sequence_align_and_tag_adapter.cwl

Branch/Commit ID: low-vaf

Workflow for Spliced RNAseq data Steps: - workflow_illumina_quality: - FastQC (Read Quality Control) - fastp (Read Trimming) - STAR (Read mapping) - featurecounts (transcript read counts) - kallisto (transcript [pseudo]counts)

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

Path: cwl/workflows/workflow_RNAseq_Spliced.cwl

Branch/Commit ID: master

https://github.com/bcbio/bcbio_validation_workflows.git

Path: wes-agha-test/wes_chr21_test-workflow-arvados/main-wes_chr21_test.cwl

Branch/Commit ID: master