Explore Workflows

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

Graph Name Retrieved From View
workflow graph exome alignment with qc, no bqsr, no verify_bam_id

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

Path: definitions/pipelines/alignment_exome_mouse.cwl

Branch/Commit ID: 8438316338e66823e1c9aca9f675b2bf33f2aa59

workflow graph umi duplex alignment workflow

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

Path: definitions/subworkflows/duplex_alignment.cwl

Branch/Commit ID: 9c0b1497c467393e1a54735575043dced73e95c4

workflow graph revsort.cwl

Reverse the lines in a document, then sort those lines.

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

Path: tests/wf/revsort.cwl

Branch/Commit ID: d6000d32f6c8fbd26421a2d30d79b28901d58fb0

workflow graph io-union-input-default-wf.cwl

https://github.com/common-workflow-language/cwl-v1.2.git

Path: tests/io-union-input-default-wf.cwl

Branch/Commit ID: ea9f8634e41824ac3f81c3dde698d5f0eef54f1b

workflow graph mut3.cwl

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

Path: tests/wf/mut3.cwl

Branch/Commit ID: 8ef515037de411abd2f84b569ad4d4a4f7a2c7a0

workflow graph PCA - Principal Component Analysis

Principal Component Analysis --------------- Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables (entities each of which takes on various numerical values) into a set of values of linearly uncorrelated variables called principal components. The calculation is done by a singular value decomposition of the (centered and possibly scaled) data matrix, not by using eigen on the covariance matrix. This is generally the preferred method for numerical accuracy.

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

Path: workflows/pca.cwl

Branch/Commit ID: a68821bf3a9ceadc3b2ffbb535d601d9a645b377

workflow graph Generate genome indices for STAR & bowtie

Creates indices for: * [STAR](https://github.com/alexdobin/STAR) v2.5.3a (03/17/2017) PMID: [23104886](https://www.ncbi.nlm.nih.gov/pubmed/23104886) * [bowtie](http://bowtie-bio.sourceforge.net/tutorial.shtml) v1.2.0 (12/30/2016) It performs the following steps: 1. `STAR --runMode genomeGenerate` to generate indices, based on [FASTA](http://zhanglab.ccmb.med.umich.edu/FASTA/) and [GTF](http://mblab.wustl.edu/GTF2.html) input files, returns results as an array of files 2. Outputs indices as [Direcotry](http://www.commonwl.org/v1.0/CommandLineTool.html#Directory) data type 3. Separates *chrNameLength.txt* file from Directory output 4. `bowtie-build` to generate indices requires genome [FASTA](http://zhanglab.ccmb.med.umich.edu/FASTA/) file as input, returns results as a group of main and secondary files

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

Path: workflows/genome-indices.cwl

Branch/Commit ID: c5bae2ca862c764911b83d1f15ff6af4e2a0db28

workflow graph basename-fields-test.cwl

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

Path: cwltool/schemas/v1.0/v1.0/basename-fields-test.cwl

Branch/Commit ID: 7c7615c44b80f8e76e659433f8c7875603ae0b25

workflow graph xenbase-chipseq-se.cwl

XenBase workflow for analysing ChIP-Seq single-end data

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

Path: workflows/xenbase-chipseq-se.cwl

Branch/Commit ID: 4b8bb1a1ec39056253ca8eee976078e51f4a954e

workflow graph rnaseq-se.cwl

RNA-Seq basic analysis workflow for single-read experiment.

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

Path: workflows/rnaseq-se.cwl

Branch/Commit ID: 4b8bb1a1ec39056253ca8eee976078e51f4a954e