Explore Workflows

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

Graph	Name	Retrieved From	View
	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
	kmer_top_n_extract	https://github.com/ncbi/pgap.git Path: task_types/tt_kmer_top_n_extract.cwl Branch/Commit ID: 1e7aa9f0c34987ddafa35f9b1d2c77d99fafbdab
	Exome QC workflow	https://github.com/genome/analysis-workflows.git Path: definitions/subworkflows/qc_exome_no_verify_bam.cwl Branch/Commit ID: 18600518ce6539a2e29c1707392a4c5da5687fa3
	FastQC - a quality control tool for high throughput sequence data FastQC - a quality control tool for high throughput sequence data ===================================== FastQC aims to provide a simple way to do some quality control checks on raw sequence data coming from high throughput sequencing pipelines. It provides a modular set of analyses which you can use to give a quick impression of whether your data has any problems of which you should be aware before doing any further analysis. The main functions of FastQC are: - Import of data from FastQ files (any variant) - Providing a quick overview to tell you in which areas there may be problems - Summary graphs and tables to quickly assess your data - Export of results to an HTML based permanent report - Offline operation to allow automated generation of reports without running the interactive application	https://github.com/datirium/workflows.git Path: workflows/fastqc.cwl Branch/Commit ID: 581156366f91861bd4dbb5bcb59f67d468b32af3