Explore Workflows
View already parsed workflows here or click here to add your own
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Motif Finding with HOMER with custom background regions
Motif Finding with HOMER with custom background regions --------------------------------------------------- HOMER contains a novel motif discovery algorithm that was designed for regulatory element analysis in genomics applications (DNA only, no protein). It is a differential motif discovery algorithm, which means that it takes two sets of sequences and tries to identify the regulatory elements that are specifically enriched in on set relative to the other. It uses ZOOPS scoring (zero or one occurrence per sequence) coupled with the hypergeometric enrichment calculations (or binomial) to determine motif enrichment. HOMER also tries its best to account for sequenced bias in the dataset. It was designed with ChIP-Seq and promoter analysis in mind, but can be applied to pretty much any nucleic acids motif finding problem. For more information please refer to: ------------------------------------- [Official documentation](http://homer.ucsd.edu/homer/motif/) |
Path: workflows/homer-motif-analysis-bg.cwl Branch/Commit ID: 93b844a80f4008cc973ea9b5efedaff32a343895 |
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step_valuefrom5_wf_v1_1.cwl
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Path: testdata/step_valuefrom5_wf_v1_1.cwl Branch/Commit ID: b76b039edb62dea76c43f173848cdc57e4b4aab7 |
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step-valuefrom3-wf_v1_0.cwl
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Path: testdata/step-valuefrom3-wf_v1_0.cwl Branch/Commit ID: b76b039edb62dea76c43f173848cdc57e4b4aab7 |
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Filter ChIP/ATAC/cut&run/diffbind peaks for Tag Density Profile or Motif Enrichment analyses
Filters ChIP/ATAC/cut&run/diffbind peaks with the neatest genes assigned for Tag Density Profile or Motif Enrichment analyses ============================================================================================================ Tool filters output from any ChIP/ATAC/cut&run/diffbind pipeline to create a file with regions of interest for Tag Density Profile or Motif Enrichment analyses. Peaks with duplicated coordinates are discarded. |
Path: workflows/filter-peaks-for-heatmap.cwl Branch/Commit ID: 93b844a80f4008cc973ea9b5efedaff32a343895 |
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QuantSeq 3' FWD, FWD-UMI or REV for single-read mRNA-Seq data
### QuantSeq 3' FWD, FWD-UMI or REV for single-read mRNA-Seq data |
Path: workflows/trim-quantseq-mrnaseq-se-strand-specific.cwl Branch/Commit ID: 93b844a80f4008cc973ea9b5efedaff32a343895 |
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Workflow to run pVACseq from detect_variants and rnaseq pipeline outputs
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Path: definitions/pipelines/pvacseq.cwl Branch/Commit ID: 44ada20f3eeb59005d5bd999d2435102e9bae991 |
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Workflow that executes the Sounder SIPS end-to-end L1a processing
Cognito credentials to access the U-DS services are retrieved from the AWS Parameter Store with the supplied keys. |
Path: sounder_sips/ssips_L1a_workflow.cwl Branch/Commit ID: 90ef1fab4fbfb6622407eaf6fe902aec5024c376 |
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Workflow that executes the Sounder SIPS end-to-end L1b processing
Requires valid AWS credentials as input arguments |
Path: sounder_sips/ssips_L1b_workflow.cwl Branch/Commit ID: 90ef1fab4fbfb6622407eaf6fe902aec5024c376 |
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scatter-wf2_v1_1.cwl
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Path: testdata/scatter-wf2_v1_1.cwl Branch/Commit ID: b76b039edb62dea76c43f173848cdc57e4b4aab7 |
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scatter-wf2_v1_0.cwl
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Path: testdata/scatter-wf2_v1_0.cwl Branch/Commit ID: b76b039edb62dea76c43f173848cdc57e4b4aab7 |
