Workflow Constructed From History 'Heinz Workflow Trial Sep 11' 3.0
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Run on GalaxyNetwork analysis with Heinz
Associated Tutorial
This workflows is part of the tutorial Network analysis with Heinz, available in the GTN
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Tutorial Author(s): Chao Zhang
Steps
| ID | Name | Description |
|---|---|---|
| 3 | DESeq2 | toolshed.g2.bx.psu.edu/repos/iuc/deseq2/deseq2/2.11.40.2 |
| 4 | Cut | Cut1 |
| 5 | Cut | Cut1 |
| 6 | Fit a BUM model | toolshed.g2.bx.psu.edu/repos/iuc/heinz/heinz_bum/1.0 |
| 7 | Calculate a Heinz score | toolshed.g2.bx.psu.edu/repos/iuc/heinz/heinz_scoring/1.0 |
| 8 | Identify optimal scoring subnetwork | toolshed.g2.bx.psu.edu/repos/iuc/heinz/heinz/1.0 |
| 9 | Visualize | toolshed.g2.bx.psu.edu/repos/iuc/heinz/heinz_visualization/0.1.0 |
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Views: 1282 Downloads: 182 Runs: 0
Created: 2nd Jun 2025 at 11:03
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Teams: Galaxy Training Network
Organizations: Galaxy
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Galaxy is an open, web-based platform for accessible, reproducible, and transparent computational biological research.
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The Galaxy Training Network (GTN) is a collection of hands-on tutorials that are designed to be interactive and are built around Galaxy.
These tutorials can be used for learning and teaching how to use Galaxy for general data analysis, as well as a wide array of hands-on tutorials covering specific domains such as assembly, RNA-Seq analysis, deep learning, climate analysis, and more!
