Explore Workflows
View already parsed workflows here or click here to add your own
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tRNA_selection.cwl
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Path: tools/tRNA_selection.cwl Branch/Commit ID: master |
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beagle-imputation-per-region.cwl
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Path: Workflows/beagle-imputation-per-region.cwl Branch/Commit ID: main |
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cnv.cwl
Copynumber variation workflow, runs ADTEx and Varscan |
Path: cnv.cwl Branch/Commit ID: v1.0.0 |
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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). |
Path: cwl/wf_get_reproducible_eclip_peaks.cwl Branch/Commit ID: master |
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exome alignment and somatic variant detection
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Path: definitions/pipelines/somatic_exome_mouse.cwl Branch/Commit ID: downsample_and_recall |
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alignment for nonhuman with qc
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Path: definitions/pipelines/alignment_wgs_nonhuman.cwl Branch/Commit ID: master |
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sc_atac_seq_initial_analysis.cwl
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Path: sc-atac-seq-pipeline/steps/sc_atac_seq_initial_analysis.cwl Branch/Commit ID: 999afe5 |
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ST520110.cwl
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Path: wf5201/ST520110.cwl Branch/Commit ID: main |
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FragPipe: Filter - Quant - Report
This workflow takes the PeptideProphet, and the ProteinProphet output files, and applies a stringent False Discovery Rate (FDR) filtering. Peptide and proteins are filtered individually at 1% FDR. The high-quality PSMs, peptides, and proteins are then quantified using a label-free algorithm that uses the apex peak intensity as a measurement. Finally, the isobaric tags are quantified and annotated with the correct sample labels. |
Path: FragPipe-Filter-Quant-Report/fragpipe-filter-quant-report.cwl Branch/Commit ID: main |
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gatk4.2.4.1_mutect2_workflow.cwl
GATK4.2.4.1 Mutect2 workflow |
Path: subworkflows/gatk4.2.4.1_mutect2_workflow.cwl Branch/Commit ID: master |
