Explore Workflows

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

Graph Name Retrieved From View
workflow graph mixed_library_metrics.cwl

https://github.com/NCI-GDC/gdc-dnaseq-cwl.git

Path: workflows/dnaseq/mixed_library_metrics.cwl

Branch/Commit ID: 469bbb5e318146b3096f307f5d8e9f72cbd6bc06
workflow graph HS Metrics workflow

https://github.com/genome/analysis-workflows.git

Path: definitions/subworkflows/hs_metrics.cwl

Branch/Commit ID: 0c4f4e59c265eb22aed3d2d37b173cb5430773d2
workflow graph kfdrc_bwamem_subwf.cwl

https://github.com/kids-first/kf-alignment-workflow.git

Path: dev/ultra-opt/kfdrc_bwamem_subwf.cwl

Branch/Commit ID: 0e35fb09e15a7a6af52d9906111136a961b2c488
workflow graph 1st-workflow.cwl

https://github.com/common-workflow-language/cwltool.git

Path: tests/wf/1st-workflow.cwl

Branch/Commit ID: 6e9f82a6d2195d4f16f28fd6e1485138372fb430
workflow graph default-dir5.cwl

https://github.com/common-workflow-language/cwltool.git

Path: tests/wf/default-dir5.cwl

Branch/Commit ID: e4d42b85d24cd5088e14cc31d67c2dee0c6fc40a
workflow graph default-dir5.cwl

https://github.com/common-workflow-language/cwltool.git

Path: tests/wf/default-dir5.cwl

Branch/Commit ID: 7bfe73a708dbf31d037303bb5a8fed1a79984b0f
workflow graph directory.cwl

Inspect provided directory and return filenames. Generate a new directory and return it (including content).

https://github.com/common-workflow-language/cwltool.git

Path: tests/wf/directory.cwl

Branch/Commit ID: 691dea280b40ac177b4a38b33375139ca0ce7e81
workflow graph ani_top_n

https://github.com/ncbi/pgap.git

Path: task_types/tt_ani_top_n.cwl

Branch/Commit ID: 424a01693259a75641dc249d553235aa38a6ce23
workflow graph tt_blastn_wnode

https://github.com/ncbi/pgap.git

Path: task_types/tt_blastn_wnode.cwl

Branch/Commit ID: 424a01693259a75641dc249d553235aa38a6ce23
workflow graph 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: 93b844a80f4008cc973ea9b5efedaff32a343895