Explore Workflows

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

Graph Name Retrieved From View
workflow graph WGS and MT analysis for fastq files

rna / protein - qc, preprocess, filter, annotation, index, abundance

https://github.com/MG-RAST/pipeline.git

Path: CWL/Workflows/wgs-noscreen-fasta.workflow.cwl

Branch/Commit ID: master

workflow graph ValidateCameraGeometry

Validate camera shape, orientation, and pixel positions

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

Path: workflows/ValidateCameraGeometry.cwl

Branch/Commit ID: main

workflow graph samtools_view_sam2bam

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

Path: structuralvariants/cwl/abstract_operations/subworkflows/samtools_view_sam2bam.cwl

Branch/Commit ID: master

workflow graph EMG core analysis

https://github.com/EBI-Metagenomics/ebi-metagenomics-cwl.git

Path: workflows/emg-core-analysis-v4.cwl

Branch/Commit ID: master

workflow graph TransDecoder 2 step workflow, running TransDecoder.LongOrfs (step 1) followed by TransDecoder.Predict (step2)

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

Path: workflows/TransDecoder-v5-wf-2steps.cwl

Branch/Commit ID: master

workflow graph bqsr-flow-distr.cwl

Run BQSR pre+post+plot flow with distribution

https://github.com/Sentieon/Sentieon-cwl.git

Path: stage/bqsr-flow-distr.cwl

Branch/Commit ID: master

workflow graph chksum_for_corrupted_fastq_files.cwl

https://github.com/cancerit/workflow-seq-import.git

Path: cwls/chksum_for_corrupted_fastq_files.cwl

Branch/Commit ID: master

workflow graph count-lines13-wf.cwl

https://github.com/common-workflow-language/cwl-v1.1.git

Path: tests/count-lines13-wf.cwl

Branch/Commit ID: master

workflow graph 02-trim-pe.cwl

ATAC-seq 02 trimming - reads: PE

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

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

Branch/Commit ID: v1.0

workflow graph exome alignment with qc

https://github.com/apaul7/cancer-genomics-workflow.git

Path: definitions/pipelines/alignment_exome.cwl

Branch/Commit ID: low-vaf