Explore Workflows
View already parsed workflows here or click here to add your own
| Graph | Name | Retrieved From | View |
|---|---|---|---|
|
|
alignment_bwa_mem_prod.cwl
|
https://github.com/uc-cdis/genomel_pipelines.git
Path: genomel/cwl/workflows/harmonization/alignment_bwa_mem_prod.cwl Branch/Commit ID: master |
|
|
|
preprocess.cwl
|
https://github.com/epigenomics-screw/screw.git
Path: cwl/preprocess.cwl Branch/Commit ID: scatter |
|
|
|
ST520103.cwl
|
https://github.com/Marco-Salvi/cwl-test.git
Path: wf5201/ST520103.cwl Branch/Commit ID: main |
|
|
|
ST520101.cwl
|
https://github.com/Marco-Salvi/dtc51.git
Path: ST520101.cwl Branch/Commit ID: main |
|
|
|
bam_filtering
BAM filtering |
https://gitlab.bsc.es/lrodrig1/structuralvariants_poc.git
Path: structuralvariants/cwl/subworkflows/bam_filtering.cwl Branch/Commit ID: 1.0.7 |
|
|
|
EMG QC workflow, (paired end version). Benchmarking with MG-RAST expt.
|
https://github.com/ProteinsWebTeam/ebi-metagenomics-cwl.git
Path: workflows/emg-qc-paired.cwl Branch/Commit ID: 0cd2d70 |
|
|
|
unzipBAMs.cwl
|
https://github.com/Kevin-Fang/recall-veritas-pgp.git
Path: unzip/unzipBAMs.cwl Branch/Commit ID: master |
|
|
|
somatic_exome: exome alignment and somatic variant detection
somatic_exome is designed to perform processing of mutant/wildtype H.sapiens exome sequencing data. It features BQSR corrected alignments, 4 caller variant detection, and vep style annotations. Structural variants are detected via manta and cnvkit. In addition QC metrics are run, including somalier concordance metrics. example input file = analysis_workflows/example_data/somatic_exome.yaml |
https://github.com/apaul7/cancer-genomics-workflow.git
Path: definitions/pipelines/somatic_exome.cwl Branch/Commit ID: low-vaf |
|
|
|
chipseq_tf_align.cwl
|
https://github.com/bxlab/vision-workflows.git
Path: chipseq_tf_align.cwl Branch/Commit ID: master |
|
|
|
workflow.cwl
|
https://github.com/nal-i5k/organism_onboarding.git
Path: flow_download/workflow.cwl Branch/Commit ID: master |
