GTN Training: Workflow Reports 1.0
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Associated Tutorial
This workflows is part of the tutorial Workflow Reports, available in the GTN
Features
- Includes a Galaxy Workflow Report
Thanks to...
Tutorial Author(s): Saskia Hiltemann
Tutorial Contributor(s): Helena Rasche, John Chilton, Aysam Guerler, Marius van den Beek, Saskia Hiltemann
Grants(s): Gallantries: Bridging Training Communities in Life Science, Environment and Health
Inputs
| ID | Name | Description | Type |
|---|---|---|---|
| Iris Dataset | #main/Iris Dataset | n/a |
|
Steps
| ID | Name | Description |
|---|---|---|
| 1 | Convert CSV to tabular | csv_to_tabular |
| 2 | Datamash | toolshed.g2.bx.psu.edu/repos/iuc/datamash_ops/datamash_ops/1.1.0 |
| 3 | Remove beginning | Remove beginning1 |
| 4 | Cut | Cut1 |
| 5 | Group | Grouping1 |
| 6 | Group | Grouping1 |
| 7 | Scatterplot with ggplot2 | toolshed.g2.bx.psu.edu/repos/iuc/ggplot2_point/ggplot2_point/3.3.5+galaxy0 |
| 8 | Scatterplot with ggplot2 | toolshed.g2.bx.psu.edu/repos/iuc/ggplot2_point/ggplot2_point/3.3.5+galaxy0 |
| 9 | Unique | toolshed.g2.bx.psu.edu/repos/bgruening/text_processing/tp_sorted_uniq/1.1.0 |
Outputs
| ID | Name | Description | Type |
|---|---|---|---|
| Iris Species | #main/Iris Species | n/a |
|
| Petal Plot (PNG) | #main/Petal Plot (PNG) | n/a |
|
| Sepal Plot (PNG) | #main/Sepal Plot (PNG) | n/a |
|
| _anonymous_output_1 | #main/_anonymous_output_1 | n/a |
|
| _anonymous_output_2 | #main/_anonymous_output_2 | n/a |
|
| datamash_output | #main/datamash_output | n/a |
|
| group1 | #main/group1 | n/a |
|
| group2 | #main/group2 | n/a |
|
Version History
master
Creators and Submitter
Views: 1279 Downloads: 196 Runs: 0
Created: 2nd Jun 2025 at 10:51
Tags 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!
