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

Our services

The Freiburg Galaxy Team is offering several services to enable reproducible and accessible research for everyone:

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

Acknowledgements

We are aiming to maintain high competency and provide high-quality data analysis services to all our Galaxy users.

Therefore, we request that you acknowledge this service by including the members of the Freiburg Galaxy Team as co-authors if they have made a significant intellectual and/or organizational contribution to the work described (conceptualization, design, data analysis, data interpretation and/or input into drafting, revising or writing any portion of the manuscript).

Individuals who have contributed to the project, but whose contributions do not rise to the level justifying authorship, can be recognized in the acknowledgements section of the manuscript as follows:

The authors acknowledge the support of the Freiburg Galaxy Team: Person X and Prof. Rolf Backofen, Bioinformatics, University of Freiburg, Germany funded by Collaborative Research Centre 992 Medical Epigenetics (DFG grant SFB 992/1 2012) and the German Federal Ministry of Education and Research (BMBF grant 031 A538A de.NBI-RBC).

Additional funding of projects and/or provision of material expenses are welcome as well, to help support our growing Galaxy community in Freiburg.