Explore Workflows

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

Graph Name Retrieved From View
workflow graph workflow.cwl

https://github.com/elixir-cloud-aai/demo-workflows.git

Path: cwl/rare_diseases_workflow/workflow.cwl

Branch/Commit ID: e2144852e854f6aefd382f65678c122d9c47d038
workflow graph germline.cwl

https://github.com/ddbj/human-reseq.git

Path: Workflows/germline.cwl

Branch/Commit ID: 4c49df49844f3e82b8fc4f30a3809ac6dc4f299a
workflow graph hmmsearch_wnode and gpx_qdump combined workflow to apply scatter/gather

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

Path: task_types/tt_hmmsearch_wnode_plus_qdump.cwl

Branch/Commit ID: 5ec226c941562124032ca6861bc8d1aeabf9d91a
workflow graph multi-psf.cwl

https://github.com/gijzelaerr/spiel.git

Path: multi-psf.cwl

Branch/Commit ID: c4a8e315ae65176dda4871fabd1c241904ef5232
workflow graph wf_get_reproducible_eclip_peaks.cwl

The main workflow that produces two reproducible peaks via IDR given two eCLIP samples (1 input, 1 IP each).

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

Path: cwl/wf_get_reproducible_eclip_peaks.cwl

Branch/Commit ID: 55f4f4f9c10a09ce03c5c531dd176e6080118977
workflow graph 02-trim-pe.cwl

STARR-seq 02 trimming - reads: PE

 https://github.com/alexbarrera/GGR-cwl.git

Path: v1.0/STARR-seq_pipeline/02-trim-pe.cwl

Branch/Commit ID: 6e008c1170ef818b6c4c63f0eec7baa4f7be7b3c
workflow graph 03-quantification.cwl

DNase-seq 03 quantification

 https://github.com/alexbarrera/GGR-cwl.git

Path: v1.0/DNase-seq_pipeline/03-quantification.cwl

Branch/Commit ID: 4636f2c1a8bcfceeb4b3596ee29e9c06311ed4a1
workflow graph Filter Protein Seeds; Find ProSplign Alignments

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

Path: protein_alignment/wf_compart_filter_prosplign.cwl

Branch/Commit ID: a34f47d1e37af51e387ecdfa5c3047f106c1146b
workflow graph Hello World

Puts a message into a file using echo

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

Path: src/test/resources/cwl/hello/hello-param.cwl

Branch/Commit ID: 244afa5f14a285c82e3732001526446b8a189948

Packed ID: main
workflow graph varscanW.cwl

Author: AMBARISH KUMAR er.ambarish@gmail.com; ambari73_sit@jnu.ac.in This is a proposed standard operating procedure for genomic variant detection using VARSCAN. It is hoped to be effective and useful for getting SARS-CoV-2 genome variants. It uses Illumina RNASEQ reads and genome sequence.

https://github.com/ambarishK/bio-cwl-tools.git

Path: varscanW.cwl

Branch/Commit ID: fcab170f3e8a4bc70601650401cce2a9df42f484