Explore Workflows

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

Graph Name Retrieved From View
workflow graph DiffBind - Differential Binding Analysis of ChIP-Seq Peak Data

Differential Binding Analysis of ChIP-Seq Peak Data --------------------------------------------------- DiffBind processes ChIP-Seq data enriched for genomic loci where specific protein/DNA binding occurs, including peak sets identified by ChIP-Seq peak callers and aligned sequence read datasets. It is designed to work with multiple peak sets simultaneously, representing different ChIP experiments (antibodies, transcription factor and/or histone marks, experimental conditions, replicates) as well as managing the results of multiple peak callers. For more information please refer to: ------------------------------------- Ross-Innes CS, Stark R, Teschendorff AE, Holmes KA, Ali HR, Dunning MJ, Brown GD, Gojis O, Ellis IO, Green AR, Ali S, Chin S, Palmieri C, Caldas C, Carroll JS (2012). “Differential oestrogen receptor binding is associated with clinical outcome in breast cancer.” Nature, 481, -4.

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

Path: workflows/diffbind.cwl

Branch/Commit ID: e45ab1b9ac5c9b99fdf7b3b1be396dc42c2c9620

workflow graph workflow.cwl

https://github.com/nal-i5k/organism_onboarding.git

Path: flow_apollo2_data_processing/processing/workflow.cwl

Branch/Commit ID: 89cff9f0d36a23bf57b3f4bdbd3ed57e3347c945

workflow graph ROSE: rank ordering of super-enhancers

Super-enhancers, consist of clusters of enhancers that are densely occupied by the master regulators and Mediator. Super-enhancers differ from typical enhancers in size, transcription factor density and content, ability to activate transcription, and sensitivity to perturbation. Use to create stitched enhancers, and to separate super-enhancers from typical enhancers using sequencing data (.bam) given a file of previously identified constituent enhancers (.gff)

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

Path: workflows/super-enhancer.cwl

Branch/Commit ID: 8049a781ac4aae579fbd3036fa0bf654532f15be

workflow graph SoupX Estimate

SoupX Estimate ==============

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

Path: workflows/soupx.cwl

Branch/Commit ID: 8049a781ac4aae579fbd3036fa0bf654532f15be

workflow graph picard_markduplicates

Mark duplicates

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

Path: structuralvariants/subworkflows/picard_markduplicates.cwl

Branch/Commit ID: 0864e19de6a1732a1376c6a64a93794d2fc45d23

workflow graph HBA_target.cwl

https://git.astron.nl/eosc/prefactor3-cwl.git

Path: workflows/HBA_target.cwl

Branch/Commit ID: f57bc19c900dc371dfcc89454cb2007ac90b3258

workflow graph wf_fastqc.cwl

This workflow takes in single-end reads, and performs the following steps in order: demux_se.cwl (does not actually demux for single end, but mirrors the paired-end processing protocol)

https://github.com/YeoLab/eclip.git

Path: cwl/wf_fastqc.cwl

Branch/Commit ID: 49a9bcda10de8f55fab2481f424eb9cdf2e5b256

workflow graph Filter Protein Alignments

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

Path: protein_alignment/wf_align_filter.cwl

Branch/Commit ID: 9362082213e20315f76f6f5c235cac3aae565747

workflow graph bwa_mem

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

Path: structuralvariants/subworkflows/bwa_mem.cwl

Branch/Commit ID: 0864e19de6a1732a1376c6a64a93794d2fc45d23

workflow graph Seurat Cluster

Seurat Cluster ============== Runs filtering, integration, and clustering analyses for Cell Ranger Count Gene Expression or Cell Ranger Aggregate experiments.

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

Path: workflows/seurat-cluster.cwl

Branch/Commit ID: 8049a781ac4aae579fbd3036fa0bf654532f15be