Galaxy is an open-source platform for FAIR data analysis that enables users to:

  • use tools from various domains (that can be plugged into workflows) through its graphical web interface.
  • run code in interactive environments (RStudio, Jupyter...) along with other tools or workflows.
  • manage data by sharing and publishing results, workflows, and visualizations.
  • ensure reproducibility by capturing the necessary information to repeat and understand data analyses.

The Galaxy Community is actively involved in helping the ecosystem improve and sharing scientific discoveries.

News

Massive open online education party: The Galaxy Training Academy

In October 2024, the Galaxy Training Network (GTN) was running a global Galaxy online course

Galaxy Docker Image Update: Version 24.1 Released!

Discover Galaxy Docker 24.1 with updated services, streamlined architecture, and new features.

MGnify amplicon pipeline v5.0 on Galaxy

Porting the MGnify Amplicon Pipeline v5.0 to Galaxy: A Collaborative Effort with EBI

Training Infrastructure Feedback from Hans-Rudolf Hotz and Lucille Delisle

We were super happy to stand in front of a group of highly motivated people to teach them galaxy and workflows.

Report from the Helmholtz Metadata Collaboration Conference (HMC) 2024

Galaxy imaging and RDM workflows were presented at the HMC 2024

Events

Nov 21microGalaxy Meets IWC - A Hackathon for microbial data analysis workflow FAIRification

One-day hackathon focused on integrating, refining, and FAIRifying microbial data analysis Galaxy workflows within the Intergalactic Workflow Commission (IWC), enhancing their accessibility, reusability for the microbiology community

Mar 10 - Mar 14Workshop on high-throughput sequencing data analysis with Galaxy

This course introduces scientists to the data analysis platform Galaxy. The course is a beginner course; there is no requirement of any programming skills.

Apr 27 - May 1European Geosciences Union (EGU) 2025

A FAIR-EASE session to the European Geoscience Union

FTP Upload

For large files, FTP upload is also available on this server. Connect to port 23 with the same credentials you use to log into Galaxy. Once uploaded, open the Galaxy file upload menu, and click on the Choose FTP file button to import the files into your history.

As an example, a screenshot of the configuration settings for FileZilla can be found here.

Training

We regularly provide workshops.

But we cannot always meet capacity, so we've put all of our training materials online. This has become a community project with people from all over the world contributing training materials.

Topics include: variant analysis, transcriptomics, metagenomics, epigenetics, and many more!

Visit the Training Material View Publication

Galaxy training materials page

Our team

This Galaxy is maintained by the Bioinformatics group of the department of Pathology.

For any questions regarding this Galaxy server, please contact us.

Visit the team page