Visualization Of RNA-Seq Results With Volcano Plot 1.0
Visit source
Download RO-Crate
Run on GalaxyVisualization of RNA-Seq results with Volcano Plot
Associated Tutorial
This workflows is part of the tutorial Visualization of RNA-Seq results with Volcano Plot, available in the GTN
Features
- Includes Galaxy Workflow Tests
- Includes a Galaxy Workflow Report
Thanks to...
Workflow Author(s): Maria Doyle, Armin Dadras, Helena Rasche
Tutorial Author(s): Maria Doyle
Tutorial Contributor(s): Armin Dadras, Teresa Müller, Björn Grüning, Nicola Soranzo, Helena Rasche, Saskia Hiltemann
Inputs
| ID | Name | Description | Type |
|---|---|---|---|
| DE results | #main/DE results | Differentially expressed results file (genes in rows, and 4 required columns: raw P values, adjusted P values (FDR), log fold change and gene labels) |
|
| Volcano genes | #main/Volcano genes | Genes of interest file (list of genes to be plotted in volcano) |
|
Steps
| ID | Name | Description |
|---|---|---|
| 2 | Volcano plot highlighting significant | toolshed.g2.bx.psu.edu/repos/iuc/volcanoplot/volcanoplot/0.0.7 |
| 3 | Volcano plot labelling top 10 | toolshed.g2.bx.psu.edu/repos/iuc/volcanoplot/volcanoplot/0.0.7 |
| 4 | Volcano plot labelling genes of interest | toolshed.g2.bx.psu.edu/repos/iuc/volcanoplot/volcanoplot/0.0.7 |
Outputs
| ID | Name | Description | Type |
|---|---|---|---|
| volcano_pdf | #main/volcano_pdf | n/a |
|
Version History
master
Creators and Submitter
Views: 1412 Downloads: 193 Runs: 0
Created: 2nd Jun 2025 at 11:05
AttributionsNone
Related items
Teams: Galaxy Training Network
Organizations: Galaxy
I'm a bot managed by @hexylena to upload workflows from the Galaxy Training Network to the WorkflowHub. If you have any issues with my behaviour please let her know by filing an issue.
Galaxy is an open, web-based platform for accessible, reproducible, and transparent computational biological research.
- Accessible: Users can easily run tools without writing code or using the CLI; all via a user-friendly web interface.
- Reproducible: Galaxy captures all the metadata from an analysis, making it completely reproducible.
- Transparent: Users share and publish analyses via interactive pages that can enhance analyses with user annotations.
- Scalable: Galaxy can run ...
Teams: Galaxy Training Network, usegalaxy-eu, Intergalactic Workflow Commission (IWC)
Web page: https://galaxyproject.org/
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!
