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

Integration of the Dataverse with Galaxy

Galaxy users can now connect to a Dataverse as a repository source, browse and search datasets directly from the Upload dialog, import files into histories and utilize them for scientific analyses.

Secure Your Tools with Galaxy's New Credentials System

Galaxy 25.1 introduces a powerful new credentials system that lets tools securely access external APIs and services with encrypted secret storage and a streamlined user experience.

GPU-accelerated genome mapper Parabricks FQ2BAM is now in Galaxy

NVIDIA Parabricks GPU-accelerated FQ2BAM is now available in Galaxy, bringing FASTQ-to-BAM alignment runtime to just a few minutes for 2.5 GB paired-end human whole-genome datasets. Its runtime is benchmarked against BWA-MEM2 and BWA across five runs and shows that mapping and QC metrics remain essentially identical to CPU-based alignment—while delivering a major speedup for Galaxy workflows.

Integration of the Hugging Face Hub with Galaxy

Galaxy users can now browse the Hugging Face Hub as a repository source, import models straight into their histories, and feed them into tools. A step-by-step example shows how to pull models from the Hugging Face Hub into Galaxy and then using the existing DocLayout-YOLO tool for document layout segmentation.

Galaxy 2025 Year in Review

650K+ users, 186M+ jobs, ~15K commits across the ecosystem

Events

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

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.