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

Galaxy Newsletter December 2025

From celebrating 20 years of Galaxy to highlighting this year’s releases, training milestones, and research breakthroughs, this final newsletter of 2025 reflects on how far the community has come and looks ahead to what’s next.

The Galaxy 25.1 Release is Live!

Galaxy 25.1 brings a modern card-based history interface with advanced keyboard navigation, powerful Sample Sheets for complex workflow inputs, an enhanced Tool Discovery view with EDAM ontology integration, the new Galaxy Charts visualization framework featuring IGV.js genome browser, a dedicated Recent Exports & Downloads page, visual indicators for short-term storage expiration, secure tool credentials and authentication management, workflow editor search capabilities, a redesigned User Preferences interface, and much more!

Using Claude AI for Literature Searches

LLMs for literature search produce 'interesting' results: It is almost useful

DataPLANT Presented Cloud Architecture and ARC RO-Crates at the 1st Open Access Workshop held in Göttingen

Freiburg Galaxy team recently joined experts in Göttingen for the 1st Open Architecture Workshop to help shape the future technical foundations of the National Research Data Infrastructure (NFDI). The team presented their cloud-oriented architecture and shared critical insights from the PLANT DataHUB regarding scalable storage and the "Software as a Service" approach. Read the full report to discover how collaborative efforts and common building blocks, such as ARC RO-crates, are driving the development of a robust and interoperable data ecosystem.

Events

Jan 9 - Jan 14PAG 33 Plant and Animal Genome Conference

Join PAG 33 to explore breakthroughs in plant and animal genomics and bioinformatics.

Mar 9 - Mar 13Workshop on high-throughput sequencing data analysis with Galaxy

This course introduces scientists to the data analysis platform Galaxy

May 4 - May 8European Geosciences Union (EGU) 2026

A Data Terra session to the European Geoscience Union

Jun 22 - Jun 272026 Galaxy Community Conference (GCC2026)

The annual gathering of the Galaxy Community with opportunities to hear latest developments, get training, and meet everyone involved.

Jul 12 - Jul 16Intelligent Systems for Molecular Biology (ISMB) 2026

Join ISMB 2026 in Washington, DC, and celebrate over 30 years of advancing computational biology!

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.