Explore Workflows
View already parsed workflows here or click here to add your own
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diadem_workflow_test1.cwl
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Path: diadem_workflow_test1.cwl Branch/Commit ID: main |
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revcomp.cwl
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Path: workflows/sanbi_cwltutorial/revcomp/revcomp.cwl Branch/Commit ID: master |
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exome alignment and somatic variant detection for cle purpose
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Path: definitions/pipelines/somatic_exome_cle.cwl Branch/Commit ID: downsample_and_recall |
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revcomp_with_rename.cwl
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Path: workflows/sanbi_cwltutorial/revcomp/revcomp_with_rename.cwl Branch/Commit ID: master |
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Illumina read quality control, trimming and contamination filter.
**Workflow for Illumina paired read quality control, trimming and filtering.**<br /> Multiple paired datasets will be merged into single paired dataset.<br /> Summary: - FastQC on raw data files<br /> - fastp for read quality trimming<br /> - BBduk for phiX and (optional) rRNA filtering<br /> - Kraken2 for taxonomic classification of reads (optional)<br /> - BBmap for (contamination) filtering using given references (optional)<br /> - FastQC on filtered (merged) data<br /> **All tool CWL files and other workflows can be found here:**<br> Tools: https://git.wur.nl/unlock/cwl/-/tree/master/cwl<br> Workflows: https://git.wur.nl/unlock/cwl/-/tree/master/cwl/workflows<br> WorkflowHub: https://workflowhub.eu/projects/16/workflows?view=default |
Path: cwl/workflows/workflow_illumina_quality.cwl Branch/Commit ID: master |
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dropEst pipeline
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Path: dropest.cwl Branch/Commit ID: master |
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abc_step01
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Path: abc_enhancer_gene_prediction/abc-enchancer-gene-prediction-wf.cwl.steps/abc_step01.cwl Branch/Commit ID: main |
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scatter-valuefrom-wf6.cwl
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Path: tests/scatter-valuefrom-wf6.cwl Branch/Commit ID: master |
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module-1.cwl
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Path: workflows/module-1.cwl Branch/Commit ID: master |
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align-test-files-pack.cwl#align-texts-wf.cwl
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Path: ochre/cwl/align-test-files-pack.cwl Branch/Commit ID: master Packed ID: align-texts-wf.cwl |
