GROMACS Training Workflow 7.0
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Run on GalaxyRunning molecular dynamics simulations using GROMACS
Associated Tutorial
This workflows is part of the tutorial Running molecular dynamics simulations using GROMACS, available in the GTN
Features
- Includes Galaxy Workflow Tests
Thanks to...
Tutorial Author(s): Simon Bray
Steps
| ID | Name | Description |
|---|---|---|
| 0 | Get PDB file | toolshed.g2.bx.psu.edu/repos/bgruening/get_pdb/get_pdb/0.1.0 |
| 1 | Search in textfiles | toolshed.g2.bx.psu.edu/repos/bgruening/text_processing/tp_grep_tool/1.1.1 |
| 2 | GROMACS initial setup | toolshed.g2.bx.psu.edu/repos/chemteam/gmx_setup/gmx_setup/2020.2+galaxy0 |
| 3 | GROMACS structure configuration | toolshed.g2.bx.psu.edu/repos/chemteam/gmx_editconf/gmx_editconf/2020.2+galaxy0 |
| 4 | GROMACS solvation and adding ions | toolshed.g2.bx.psu.edu/repos/chemteam/gmx_solvate/gmx_solvate/2020.2+galaxy0 |
| 5 | GROMACS energy minimization | toolshed.g2.bx.psu.edu/repos/chemteam/gmx_em/gmx_em/2020.2+galaxy0 |
| 6 | NVT equilibration | toolshed.g2.bx.psu.edu/repos/chemteam/gmx_sim/gmx_sim/2020.2+galaxy0 |
| 7 | NPT equilibration | toolshed.g2.bx.psu.edu/repos/chemteam/gmx_sim/gmx_sim/2020.2+galaxy0 |
| 8 | MD simulation | toolshed.g2.bx.psu.edu/repos/chemteam/gmx_sim/gmx_sim/2020.2+galaxy0 |
Outputs
| ID | Name | Description | Type |
|---|---|---|---|
| _anonymous_output_1 | #main/_anonymous_output_1 | n/a |
|
| _anonymous_output_2 | #main/_anonymous_output_2 | n/a |
|
| _anonymous_output_3 | #main/_anonymous_output_3 | n/a |
|
| gro_output | #main/gro_output | n/a |
|
| xtc_output | #main/xtc_output | n/a |
|
Version History
master
Creators and Submitter
Views: 1233 Downloads: 183 Runs: 0
Created: 2nd Jun 2025 at 11:02
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!
