Explore Workflows

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

Graph	Name	Retrieved From	View
	workflow_input_sf_expr_array.cwl	https://github.com/common-workflow-language/cwl-utils.git Path: testdata/workflow_input_sf_expr_array.cwl Branch/Commit ID: c1875d54dedc41b1d2fa08634dcf1caa8f1bc631
	Bacterial Annotation, pass 1, genemark training, by HMMs (first pass)	https://github.com/ncbi/pgap.git Path: bacterial_annot/wf_ab_initio_training.cwl Branch/Commit ID: 8ea3637b0f11eac1ea5599c41d74e00d85fb778d
	vecscreen.cwl	https://github.com/ncbi/pgap.git Path: vecscreen/vecscreen.cwl Branch/Commit ID: 8ea3637b0f11eac1ea5599c41d74e00d85fb778d
	scatter-wf1.cwl	https://github.com/common-workflow-language/cwl-v1.2.git Path: tests/scatter-wf1.cwl Branch/Commit ID: 57baec040c99d7edef8242ef51b5470b1c82d733
	Motif Finding with HOMER with target and background regions from peaks Motif Finding with HOMER with target and background regions from peaks --------------------------------------------------- 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-peak.cwl Branch/Commit ID: 7eef0294395d83ff0765fce61726a59d71126422
	count-lines9-wf.cwl	https://github.com/common-workflow-language/cwltool.git Path: cwltool/schemas/v1.0/v1.0/count-lines9-wf.cwl Branch/Commit ID: b82ce7ae901a54c7a062fd5eefd8d5ceb5a4d684
	Bacterial Annotation, ab initio (first pass) searched against AntiFam	https://github.com/ncbi/pgap.git Path: bacterial_annot/wf_ab_initio_antifam.cwl Branch/Commit ID: 8ea3637b0f11eac1ea5599c41d74e00d85fb778d
	Bacterial Annotation, pass 1, genemark training, by HMMs (first pass)	https://github.com/ncbi/pgap.git Path: bacterial_annot/wf_orf_hmms.cwl Branch/Commit ID: 8ea3637b0f11eac1ea5599c41d74e00d85fb778d
	search.cwl#main	https://github.com/common-workflow-language/cwltool.git Path: cwltool/schemas/v1.0/v1.0/search.cwl Branch/Commit ID: 75271e2a0887d47cca4077b60dd51ac763c09b63 Packed ID: main
	kfdrc_flagstat_qc.cwl	https://github.com/kids-first/kf-rnaseq-workflow.git Path: workflow/kfdrc_flagstat_qc.cwl Branch/Commit ID: 3fd55a819cda2a1fc48957b5daa2bebdaee843fb