Explore Workflows

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

Graph Name Retrieved From View
workflow graph pindel parallel workflow

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

Path: definitions/subworkflows/pindel.cwl

Branch/Commit ID: 93656ed6582073e434eab168c610625a835dce37

workflow graph Detect Docm variants

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

Path: definitions/subworkflows/docm_cle.cwl

Branch/Commit ID: 93656ed6582073e434eab168c610625a835dce37

workflow graph strelka workflow

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

Path: definitions/subworkflows/strelka_and_post_processing.cwl

Branch/Commit ID: 93656ed6582073e434eab168c610625a835dce37

workflow graph umi per-lane alignment subworkflow

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

Path: definitions/subworkflows/umi_alignment.cwl

Branch/Commit ID: ffd73951157c61c1581d346628d75b61cdd04141

workflow graph Run pindel on provided region

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

Path: definitions/subworkflows/pindel_region.cwl

Branch/Commit ID: 2decd55996b912feb48be5db1b052aa3274ee405

workflow graph WGS and MT analysis for fastq files

rna / protein - qc, preprocess, filter, annotation, index, abundance

https://github.com/MG-RAST/pipeline.git

Path: CWL/Workflows/wgs-noscreen-fastq.workflow.cwl

Branch/Commit ID: 9aba38fd1569287b7256ace7163ac84320909f8a

workflow graph scatter-valuefrom-wf3.cwl#main

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

Path: v1.0/v1.0/scatter-valuefrom-wf3.cwl

Branch/Commit ID: 4d06b9efd26c5813c13684ebcc95547bb75ddfcc

Packed ID: main

workflow graph WGS QC workflow mouse

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

Path: definitions/subworkflows/qc_wgs_mouse.cwl

Branch/Commit ID: 3034168d652bfa930ba09af20e473a4564a8010d

workflow graph WGS QC workflow nonhuman

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

Path: definitions/subworkflows/qc_wgs_nonhuman.cwl

Branch/Commit ID: 2decd55996b912feb48be5db1b052aa3274ee405

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: 17a4a68b20e0af656e09714c1f39fe761b518686