Explore Workflows
View already parsed workflows here or click here to add your own
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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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hello-workflow.cwl
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Path: cwl/hello-workflow.cwl Branch/Commit ID: main |
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01-qc-pe.cwl
ChIP-seq 01 QC - reads: PE |
Path: v1.0/ChIP-seq_pipeline/01-qc-pe.cwl Branch/Commit ID: master |
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chksum_seqval_wf_interleaved_fq.cwl
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Path: cwls/chksum_seqval_wf_interleaved_fq.cwl Branch/Commit ID: 0.2.1 |
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5S-from-tablehits.cwl
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Path: tools/5S-from-tablehits.cwl Branch/Commit ID: master |
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wf_trim_and_map_se.cwl
This workflow takes in appropriate trimming params and demultiplexed reads, and performs the following steps in order: trimx1, trimx2, fastq-sort, filter repeat elements, fastq-sort, genomic mapping, sort alignment, index alignment, namesort, PCR dedup, sort alignment, index alignment |
Path: cwl/wf_trim_and_map_se.cwl Branch/Commit ID: master |
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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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calculate_contamination_workflow.cwl
GATK4.1.2 Calculate tumor-normal contamination workflow |
Path: subworkflows/calculate_contamination_workflow.cwl Branch/Commit ID: master |
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workflow_select_shape.cwl
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Path: cwl/workflow_select_shape.cwl Branch/Commit ID: master |
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canine_annotation_module.cwl
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Path: subworkflows/canine_annotation_module.cwl Branch/Commit ID: master |
