Explore Workflows
View already parsed workflows here or click here to add your own
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5S-from-tablehits.cwl
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![]() Path: tools/5S-from-tablehits.cwl Branch/Commit ID: b6d3aaf3fa6695061208c6cdca3d7881cc45400d |
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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 |
![]() Path: workflows/fastqc.cwl Branch/Commit ID: 2f0db4b3c515f91c5cfda19c78cf90d339390986 |
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Cut-n-Run pipeline paired-end
Experimental pipeline for Cut-n-Run analysis. Uses mapping results from the following experiment types: - `chipseq-pe.cwl` - `trim-chipseq-pe.cwl` - `trim-atacseq-pe.cwl` Note, the upstream analyses should not have duplicates removed |
![]() Path: workflows/trim-chipseq-pe-cut-n-run.cwl Branch/Commit ID: 1131f82a53315cca217a6c84b3bd272aa62e4bca |
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js-expr-req-wf.cwl#wf
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![]() Path: cwltool/schemas/v1.0/v1.0/js-expr-req-wf.cwl Branch/Commit ID: 814bd0405a7701efc7d63e8f0179df394c7766f7 Packed ID: wf |
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workflow.cwl
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![]() Path: flow_dispatch/2working_files/workflow.cwl Branch/Commit ID: 7198756b4b1519d102178042924671bd677e9b17 |
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3stepWorkflow.cwl
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![]() Path: tests/cwl/3stepWorkflow.cwl Branch/Commit ID: e07959c147a9a4f5470f5ed3c22e37356ec92197 |
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CODEX analysis pipeline using Cytokit
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![]() Path: steps/ometiff_second_stitching.cwl Branch/Commit ID: b23af942f4a1169fc3d331272fd56ae878af6c1d |
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THOR - differential peak calling of ChIP-seq signals with replicates
What is THOR? -------------- THOR is an HMM-based approach to detect and analyze differential peaks in two sets of ChIP-seq data from distinct biological conditions with replicates. THOR performs genomic signal processing, peak calling and p-value calculation in an integrated framework. For more information please refer to: ------------------------------------- Allhoff, M., Sere K., Freitas, J., Zenke, M., Costa, I.G. (2016), Differential Peak Calling of ChIP-seq Signals with Replicates with THOR, Nucleic Acids Research, epub gkw680. |
![]() Path: workflows/rgt-thor.cwl Branch/Commit ID: 9850a859de1f42d3d252c50e15701928856fe774 |
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kmer_build_tree
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![]() Path: task_types/tt_kmer_build_tree.cwl Branch/Commit ID: 02816f0d66e36c8eeba02d211cc90e36bf1c9df5 |
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bam_readcount workflow
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![]() Path: definitions/subworkflows/bam_readcount.cwl Branch/Commit ID: 77ec4f26eb14ed82481828bd9f6ef659cfd8b40f |