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

🚀 2024: A SPOC-tacular Year in Review 🌌

As we orbit the end of another stellar year, let’s engage warp drive and reflect on the out-of-this-world achievements of the Single-cell & sPatial Omics Community (SPOC 🖖). From launching new tools to charting new tutorials, SPOC’s journey through the Galaxy (platform) has been nothing short of cosmic! 🌠

Galaxy Newsletter: December 2024

From groundbreaking milestones to exciting new features, join us in celebrating Galaxy’s incredible journey through 2024! Plus, get a sneak peek at what Galaxy has in store for 2025.

Biological Data Science 2024

Galaxy had a strong presence at Biological Data Science 2024, featured in talks and posters that showcased its power and versatility in advancing biological research.

Text-to-Image Magic: FLUX Models Now in Galaxy!

Turn your text into stunning visuals with FLUX models, now integrated into Galaxy!

Events

Jan 10 - Jan 15Plant and Animal Genome Conference

Join us in San Diego to explore the latest in genomics, and don't miss the opportunity to attend a special workshop hosted by the Galaxy Project.

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.