Galaxy Freiburg
The homepage of the Freiburg Galaxy community
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
RSpace is now integrated with Galaxy
Analyze data with Galaxy, keep it under control on RSpace
Unraveling the Mystery of GRB 221009A: Secondary Gamma Rays and Cosmic Magnetic Field
The possibility of multi-TeV secondary gamma rays from GRB221009A
New Galaxy Tool: Identify Label Issues in Machine Learning Datasets Using Cleanlab
Identify Label Issues in Machine Learning Datasets Using Cleanlab
RO-Crate specification 1.2 released
Specification for RO-Crate 1.2 released
Exploring data from BERD Data Portal with Galaxy
Find out how to explore your Data from the NFDI BERD Data Portal directly in Galaxy
Events
Jun 23 - Jun 26Galaxy and Bioconductor Community Conference
Get ready for the first-ever Galaxy and Bioconductor Community Conference (GBCC 2025)! Join us in New York for an unforgettable event packed with cutting-edge bioinformatics workshops, inspiring keynotes, and amazing networking opportunities.
Jun 30 - Jul 4From Data to Discovery: Metagenomics, RNA-Seq - NGS Bioinformatics with Galaxy
This course introduces scientists to the data analysis platform 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!
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.