Explore Workflows

View already parsed workflows here or click here to add your own

Graph	Name	Retrieved From	View
	Bisulfite alignment and QC	https://github.com/genome/analysis-workflows.git Path: definitions/pipelines/bisulfite.cwl Branch/Commit ID: 4bc0a4577d626b65a4b44683e5a1ab2f7d7faf4c
	count-lines6-wf.cwl	https://github.com/common-workflow-language/cwltool.git Path: cwltool/schemas/v1.0/v1.0/count-lines6-wf.cwl Branch/Commit ID: e8b3565a008d95859fc44227987a54e6a53a8c29
	Whole genome alignment and somatic variant detection	https://github.com/genome/analysis-workflows.git Path: definitions/pipelines/somatic_wgs.cwl Branch/Commit ID: 42c66dd24ce5026d3f717214ddb18b7b4fae93cf
	trnascan_wnode and gpx_qdump combined	https://github.com/ncbi/pgap.git Path: bacterial_trna/wf_scan_and_dump.cwl Branch/Commit ID: 8af4e2aabf43d5e3c7162efae4ad4649df5601e2
	scatter-valuefrom-wf5.cwl	https://github.com/common-workflow-language/cwltool.git Path: cwltool/schemas/v1.0/v1.0/scatter-valuefrom-wf5.cwl Branch/Commit ID: f207d168f4e7eb4dd2279840d4062ba75d9c79c3
	schemadef-wf.cwl	https://github.com/common-workflow-language/cwltool.git Path: cwltool/schemas/v1.0/v1.0/schemadef-wf.cwl Branch/Commit ID: 7c7615c44b80f8e76e659433f8c7875603ae0b25
	exome alignment and tumor-only variant detection	https://github.com/genome/analysis-workflows.git Path: definitions/pipelines/exome.cwl Branch/Commit ID: 4bc0a4577d626b65a4b44683e5a1ab2f7d7faf4c
	conflict-wf.cwl#collision	https://github.com/common-workflow-language/common-workflow-language.git Path: v1.0/v1.0/conflict-wf.cwl Branch/Commit ID: 4fd45edb9531a03223c18a586e32d0baf0d5acb2 Packed ID: collision
	scatter-wf3_v1_2.cwl#main	https://github.com/common-workflow-language/cwl-utils.git Path: testdata/scatter-wf3_v1_2.cwl Branch/Commit ID: c1875d54dedc41b1d2fa08634dcf1caa8f1bc631 Packed ID: main
	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/)	https://github.com/datirium/workflows.git Path: workflows/homer-motif-analysis-bg.cwl Branch/Commit ID: 7030da528559c7106d156284e50ff0ecedab0c4e