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

New Paper "Guidance framework to apply best practices in ecological data analysis: lessons learned from building Galaxy-Ecology"

We are excited to share our recent publication in GigaScience. This paper presents a practical framework aimed at improving transparency, reproducibility, and efficiency in ecological research by leveraging the Galaxy-Ecology platform.​

Galaxy’s contributions to Genome Assembly and Annotation: Advancing Genomic Science

Know how Galaxy is contributing towards Genome Assembly and Annotation with cutting-edge tools, global biodiversity projects, and training initiatives

Galaxy meets Onedata — distributed storage for science

Galaxy now features comprehensive integration with Onedata — a distributed data management platform. Users gain more options regarding their data sources (Bring Your Own Data) and storage locations (Bring Your Own Storage).

New Paper "Clouds influence the functioning of airborne microorganisms"

Péguilhan et al. have collaborated with Dr. Bérénice Batut and Engy Nasr and used Galaxy for Cloud and Clear skys data analysis in their newly published paper

Events

Mar 26BRC Analytics Webinar

Please join Anton Nekrutenko and Scott Cain for a look at BRC Analytics and new features in Galaxy!

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.