Explore Workflows

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

Graph Name Retrieved From View
workflow graph chipseq-header.cwl

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

Path: metadata/chipseq-header.cwl

Branch/Commit ID: c9e7f3de7f6ba38ee663bd3f9649e8d7dbac0c86

workflow graph Read quality control, trimming and contamination filter.

Workflow for (paired) read quality control, trimming and contamination filtering. Will output a merged set of read pairs, when multiple datasets are used. Steps: - FastQC (read quality control) - fastp (read quality trimming) - bbduk used for rrna filtering - bbmap for contamination filter

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

Path: cwl/workflows/workflow_quality.cwl

Branch/Commit ID: d6893a25b58b9b25fb76c5e060974b54d9eabc41

workflow graph rnaseq-header.cwl

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

Path: metadata/rnaseq-header.cwl

Branch/Commit ID: 480e99a4bb3046e0565113d9dca294e0895d3b0c

workflow graph spurious_annot

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

Path: spurious_annot/wf_spurious_annot_pass1.cwl

Branch/Commit ID: a402541b8530f30eab726c160da90a23036847a1

workflow graph bam to trimmed fastqs

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

Path: definitions/subworkflows/bam_to_trimmed_fastq.cwl

Branch/Commit ID: 457e101e3fb87e7fd792357afce00ed8ccbfbcdb

workflow graph assemble.cwl

Assemble a set of reads using SKESA

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

Path: assemble.cwl

Branch/Commit ID: e2a6cbcc36212433d8fbc804919442787a5e2a49

workflow graph Cell Ranger Count Gene Expression

Cell Ranger Count Gene Expression =================================

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

Path: workflows/single-cell-preprocess-cellranger.cwl

Branch/Commit ID: 480e99a4bb3046e0565113d9dca294e0895d3b0c

workflow graph THOR - differential peak calling of ChIP-seq signals with replicates

What is THOR? -------------- THOR is an HMM-based approach to detect and analyze differential peaks in two sets of ChIP-seq data from distinct biological conditions with replicates. THOR performs genomic signal processing, peak calling and p-value calculation in an integrated framework. For more information please refer to: ------------------------------------- Allhoff, M., Sere K., Freitas, J., Zenke, M., Costa, I.G. (2016), Differential Peak Calling of ChIP-seq Signals with Replicates with THOR, Nucleic Acids Research, epub gkw680.

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

Path: workflows/rgt-thor.cwl

Branch/Commit ID: 09267e79fd867aa68a219c69e6db7d8e2e877be2

workflow graph workflow1.cwl

https://github.com/petehague/stoa.git

Path: actions/workflow1.cwl

Branch/Commit ID: ad2f292d7586aba6b1c4f229ab041404c4dc0413

workflow graph Instac stage-in

Stage-in using Instac

https://github.com/EOEPCA/app-vegetation-index.git

Path: instac.cwl

Branch/Commit ID: f346f1024f124ebb9e193e3bd49559a3e5334f8b

Packed ID: main