Explore Workflows

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

Graph	Name	Retrieved From	View
	kmer_seq_entry_extract_wnode	https://github.com/ncbi/pgap.git Path: task_types/tt_kmer_seq_entry_extract_wnode.cwl Branch/Commit ID: 609aead9804a8f31fa9b3dbc7e52105aec487f31
	kmer_cache_store	https://github.com/ncbi/pgap.git Path: task_types/tt_kmer_cache_store.cwl Branch/Commit ID: add6b7724698694e0e72d972e2e85e1ae4e67902
	samtools_view_sam2bam	https://gitlab.bsc.es/lrodrig1/structuralvariants_poc.git Path: structuralvariants/cwl/subworkflows/samtools_view_sam2bam.cwl Branch/Commit ID: 32a040f94e9798bf91858da51598f0d68c35797d
	Functional analyis of sequences that match the 16S SSU	https://github.com/EBI-Metagenomics/ebi-metagenomics-cwl.git Path: workflows/16S_taxonomic_analysis.cwl Branch/Commit ID: cac44f2cf14110fde9951161c663c4525772f616
	Seurat Differential Expression Seurat Differential Expression ============================== Runs differential expression analysis between two biological conditions for a group of cells.	https://github.com/datirium/workflows.git Path: workflows/sc_diff_expr.cwl Branch/Commit ID: b1a5dabeeeb9079b30b2871edd9c9034a1e00c1c
	umi duplex alignment workflow	https://github.com/genome/analysis-workflows.git Path: definitions/subworkflows/duplex_alignment.cwl Branch/Commit ID: 18600518ce6539a2e29c1707392a4c5da5687fa3
	cache_test_workflow.cwl	https://github.com/common-workflow-language/cwltool.git Path: tests/wf/cache_test_workflow.cwl Branch/Commit ID: aec33fcfa3459a90cbba8c88ebb991be94d21429
	kmer_cache_retrieve	https://github.com/ncbi/pgap.git Path: task_types/tt_kmer_cache_retrieve.cwl Branch/Commit ID: 90a321ecf2d049330bcf0657cc4d764d2c3f42dd
	exome alignment and somatic variant detection	https://github.com/genome/analysis-workflows.git Path: definitions/pipelines/somatic_exome_nonhuman.cwl Branch/Commit ID: 97572e3a088d79f6a4166385f79e79ea77b11470
	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: 09267e79fd867aa68a219c69e6db7d8e2e877be2