BiaPy 1.0
Visit source
Download RO-Crate
Run on GalaxyThis workflow is executing a BiaPy workflow using a YAML file where the model selection is predefined.
Associated Tutorial
This workflows is part of the tutorial Execute a BiaPy workflow in Galaxy, available in the GTN
Features
- Includes Galaxy Workflow Tests
- Includes a Galaxy Workflow Report
- Uses Galaxy Workflow Comments
Thanks to...
Workflow Author(s): Riccardo Massei
Tutorial Author(s): Riccardo Massei, Daniel Franco Barranco
Tutorial Contributor(s): Beatriz Serrano-Solano, Leonid Kostrykin, Saskia Hiltemann, Riccardo Massei, Daniel Franco Barranco
Inputs
| ID | Name | Description | Type |
|---|---|---|---|
| Input a BiaPy YAML configuration file | #main/Input a BiaPy YAML configuration file | A BiaPy YAML pre-configured file |
|
| Input the image ground truth | #main/Input the image ground truth | Ground truth for the input test data |
|
| Input the test data | #main/Input the test data | Dataset to test your model on |
|
Steps
| ID | Name | Description |
|---|---|---|
| 3 | Build a workflow with BiaPy | toolshed.g2.bx.psu.edu/repos/iuc/biapy/biapy/3.6.8+galaxy0 |
| 4 | Render 3-D image data | toolshed.g2.bx.psu.edu/repos/imgteam/libcarna_render/libcarna_render/0.2.0+galaxy2 |
Outputs
| ID | Name | Description | Type |
|---|---|---|---|
| html | #main/html | n/a |
|
| predictions_post_proc | #main/predictions_post_proc | n/a |
|
Version History
master
Creators and Submitter
Views: 479 Downloads: 85 Runs: 0
Created: 16th Feb 2026 at 13:26
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!
