Explore Workflows

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

Graph Name Retrieved From View
workflow graph Apply filters to VCF file

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

Path: definitions/subworkflows/filter_vcf_nonhuman.cwl

Branch/Commit ID: 8c4e7372247a7f4ed9ed478ef8ea1d239bc88af0
workflow graph contamination_cleanup

This workflow detect and remove contamination from a DNA fasta file

 https://github.com/ncbi/cwl-ngs-workflows-cbb.git

Path: workflows/Contamination/contamination-cleanup.cwl

Branch/Commit ID: 8306c36a60062bc47a6c5fbd5135e4f290b62b3d
workflow graph exome alignment and germline variant detection

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

Path: definitions/pipelines/germline_exome.cwl

Branch/Commit ID: 97572e3a088d79f6a4166385f79e79ea77b11470
workflow graph bam_collapsing.cwl

https://github.com/msk-access/bam_collapsing.git

Path: bam_collapsing.cwl

Branch/Commit ID: 17a4a92df61a82b4a2bb61a908c377cb8d64b78c
workflow graph bact_get_kmer_reference

https://github.com/ncbi/pgap.git

Path: task_types/tt_bact_get_kmer_reference.cwl

Branch/Commit ID: f18c1dce463509170ee3bf2844d5a3637ff706f5
workflow graph conflict-wf.cwl#collision

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

Path: cwltool/schemas/v1.0/v1.0/conflict-wf.cwl

Branch/Commit ID: 9a8e654a91ea5d26e8452dd1cecf3faf22b7a12e

Packed ID: collision
workflow graph Subworkflow to allow calling cnvkit with cram instead of bam files

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

Path: definitions/subworkflows/cram_to_cnvkit.cwl

Branch/Commit ID: 233f026ffce240071edda526391be0c03186fce8
workflow graph kmer_cache_store

https://github.com/ncbi/pgap.git

Path: task_types/tt_kmer_cache_store.cwl

Branch/Commit ID: f18c1dce463509170ee3bf2844d5a3637ff706f5
workflow graph Chunked version of phmmer-v3.2.cwl

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

Path: workflows/phmmer-v3.2-chunked-wf.cwl

Branch/Commit ID: 72f702591368397f56d455128f60916902104dd2
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: 5b49ef07b994963d190f4f508bc08e4bec8b8a0b