Explore Workflows

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

Graph	Name	Retrieved From	View
	Replace legacy AML Trio Assay	https://github.com/genome/analysis-workflows.git Path: definitions/pipelines/aml_trio_cle.cwl Branch/Commit ID: 43c790e2ee6a0f3f42e40fb4d9a9005eb8de747a
	kmer_top_n_extract	https://github.com/ncbi/pgap.git Path: task_types/tt_kmer_top_n_extract.cwl Branch/Commit ID: e2a6cbcc36212433d8fbc804919442787a5e2a49
	Whole genome alignment and somatic variant detection	https://github.com/genome/analysis-workflows.git Path: definitions/pipelines/somatic_wgs.cwl Branch/Commit ID: 35e6b3ef71b4a2a9caba1dbd5dc424a8809bcc0a
	workflow.cwl	https://github.com/NAL-i5K/Organism_Onboarding.git Path: flow_md5checksums/workflow.cwl Branch/Commit ID: 0b58c250e8ab7c5efae29443f08ea74316127041
	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: b1a5dabeeeb9079b30b2871edd9c9034a1e00c1c
	exome alignment and tumor-only variant detection	https://github.com/litd/analysis-workflows.git Path: definitions/pipelines/tumor_only_exome.cwl Branch/Commit ID: 336f7d1af649f42543baa6be2594cd872919b5b5
	wgs alignment and tumor-only variant detection	https://github.com/genome/analysis-workflows.git Path: definitions/pipelines/tumor_only_wgs.cwl Branch/Commit ID: 35e6b3ef71b4a2a9caba1dbd5dc424a8809bcc0a
	Detect DoCM variants	https://github.com/litd/analysis-workflows.git Path: definitions/subworkflows/docm_germline.cwl Branch/Commit ID: 336f7d1af649f42543baa6be2594cd872919b5b5
	genomics-workspace.cwl	https://github.com/nal-i5k/organism_onboarding.git Path: flow_genomicsWorkspace/genomics-workspace.cwl Branch/Commit ID: 0b58c250e8ab7c5efae29443f08ea74316127041
	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: 09267e79fd867aa68a219c69e6db7d8e2e877be2