While most GTN tutorials include their associated workflow directly in the GTN, some may wish to write a tutorial about running workflows from WorkflowHub, e.g. leveraging the IWC workflow collection.
We’ve added two snippets which make that easier than ever:
Hands On: Importing and Launching a WorkflowHub.eu Workflow
Click on galaxy-workflows-activityWorkflows in the Galaxy activity bar (on the left side of the screen, or in the top menu bar of older Galaxy instances). You will see a list of all your workflows
Click on galaxy-uploadImport at the top-right of the screen
On the new page, select the GA4GH servers tab, and configure the GA4GH Tool Registry Server (TRS) Workflow Search interface as follows:
“TRS Server”: workflowhub.eu
“search query”: name:"gromacs-mmgbsa/main"
Expand the correct workflow by clicking on it
Select the version you would like to galaxy-upload import
The workflow will be imported to your list of workflows. Note that it will also carry a little blue-white shield icon next to its name, which indicates that this is an original workflow version imported from a TRS server. If you ever modify the workflow with Galaxy’s workflow editor, it will lose this indicator.
Below is a short video showing the entire uncomplicated procedure:
Video: Importing via search from WorkflowHub
And one for Dockstore:
Hands On: Importing and Launching a Dockstore Workflow
Click on galaxy-workflows-activityWorkflows in the Galaxy activity bar (on the left side of the screen, or in the top menu bar of older Galaxy instances). You will see a list of all your workflows
Click on galaxy-uploadImport at the top-right of the screen
Paste the following URL into the box labelled “Archived Workflow URL”: https://training.galaxyproject.org/training-material/topics/assembly/tutorials/largegenome/workflows/Galaxy-Workflow-Data_QC.ga
Click the Import workflow button
Below is a short video demonstrating how to import a workflow from GitHub using this procedure:
Back in September 2024, we ran the Open University Bioinformatics Bootcamp—a free, five-day online course introducing students to the core tools and techniques used in single-cell biology. We were genuinely delighted by the level of interest: 120 students signed up, 100 showed up, and around 80 worked through the hands-on tutorials during the week. That’s a fantastic level of engagement, especially for a course that’s entirely optional and doesn’t count towards their degree.
In the rapidly evolving landscape of data science, continuous learning and skill development are crucial. The Galaxy Training Network (GTN) plays a pivotal role in this educational ecosystem, particularly within the ELIXIR Training Life-Cycle. This blog post explores how the GTN contributes to each phase of the life-cycle and aligns with the SPLASH recommendations, ensuring high-quality training for researchers worldwide.
This is my ode to the Galaxy Community to say how grateful I have been for your welcome, your energy, and your support. I have learned so very, very much, about bioinformatics; about software development; and most of all, about open-source communities in this complex scientific world.
Join us for a week of Training about Metagenomics and RNA-Seq in Freiburg. 🦠🧬
From June 30th to July 4th, we will offer a week-long, free on-site workshop to set you off with your analysis on NGS with Galaxy, the free open-source platform.
Helena Rasche
