Explore Workflows

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

Graph	Name	Retrieved From	View
	ani_top_n	https://github.com/ncbi/pgap.git Path: task_types/tt_ani_top_n.cwl Branch/Commit ID: 546742b523ce12f6246a52c838a51920a08dad4b
	hmmsearch_wnode and gpx_qdump combined workflow to apply scatter/gather	https://github.com/ncbi/pgap.git Path: task_types/tt_hmmsearch_wnode_plus_qdump.cwl Branch/Commit ID: 369afa7090a7480e6a0b144eff967a4a52b6fde2
	Single-Cell Preprocessing Pipeline Devel version of Single-Cell Preprocessing Pipeline ===================================================	https://github.com/datirium/workflows.git Path: workflows/single-cell-preprocess.cwl Branch/Commit ID: 7fb8a1ebf8145791440bc2fed9c5f2d78a19d04c
	Cell Ranger Count Gene Expression Cell Ranger Count Gene Expression =================================	https://github.com/datirium/workflows.git Path: workflows/single-cell-preprocess-cellranger.cwl Branch/Commit ID: 581156366f91861bd4dbb5bcb59f67d468b32af3
	HS Metrics workflow	https://github.com/genome/analysis-workflows.git Path: definitions/subworkflows/hs_metrics.cwl Branch/Commit ID: 889a077a20c0fdb01f4ed97aa4bc40f920c37a1a
	kmer_ref_compare_wnode	https://github.com/ncbi/pgap.git Path: task_types/tt_kmer_ref_compare_wnode.cwl Branch/Commit ID: 1e7aa9f0c34987ddafa35f9b1d2c77d99fafbdab
	STAR-Alignment-PE This workflow aligns the fastq files using STAR for paired-end samples	https://github.com/ncbi/cwl-ngs-workflows-cbb.git Path: workflows/Alignments/star-alignment.cwl Branch/Commit ID: dde32ff6c8e653a4e6b93316f28737706d5ec367
	wffail.cwl	https://github.com/common-workflow-language/cwltool.git Path: tests/wf/wffail.cwl Branch/Commit ID: 1eb6bfe3c77aebaf69453a669d21ae7a5a78056f
	workflow.cwl	https://github.com/nal-i5k/organism_onboarding.git Path: flow_dispatch/2working_files/workflow.cwl Branch/Commit ID: b1e1b906fcfb2c0fad8811fb8ab03009282c1d19
	Varscan Workflow	https://github.com/genome/analysis-workflows.git Path: definitions/subworkflows/varscan_germline.cwl Branch/Commit ID: 1750cd5cc653f058f521b6195e3bec1e7df1a086