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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 in Research: Uncovering the evolutionary secrets of wild loquats using comparative chloroplast genomics

A new study has sequenced and analyzed two wild loquat chloroplast genomes, revealing key insights into their evolutionary history and the genetic diversity of loquat species.

Using Large Language Models in complex workflows

Use ChatGPT in your analysis on the Galaxy Server to leverage the Large Language Model in your automated workflows

Hosting R/Shiny applications on Galaxy (and other frameworks)

Thanks to the outcome of a small Galaxy/Bioconductor hackathon earlier this year, it has become much easier to deploy Shiny applications as interactive tools (ITs) on usegalaxy.eu

Opinion: Conda, Anaconda and the much bigger problem behind it

Anaconda, DockerHub, Quay.io, GitHub ... we need to talk about the sustainability of our infrastructure.

Galaxy in Research: Advancing quantum materials research with Galaxy

At Oak Ridge National Laboratory, scientists have harnessed the power of Galaxy to bring together cutting-edge computing resources, paving the way for new discoveries in quantum materials through advanced neutron scattering data analysis.

Events

Sep 10 - Sep 13A practical introduction to bioinformatics and RNA-seq using Galaxy

Ready to explore the fascinating world of RNA-seq data analysis using Galaxy? Don't miss out on this incredible opportunity! Visit our event webpage now to discover the program details, meet the organising team, and submit your application.

Sep 10 - Sep 12sc-verse Conference 2024

Join us at the sc-verse Conference in Munich to explore the latest advancements in single-cell analysis with Galaxy. Discover the innovative features Galaxy offers in this cutting-edge field of single-cell research, and be sure to attend our poster session for an in-depth discussion and the opportunity to engage directly with our team.

Sep 11Webinar on data management with DataHub (Onedata)

At 14:00 CEST, join this Webinar if you are interested in the recent Galaxy & Onedata integration (remote data source and Object Store).

Oct 7 - Oct 11Galaxy Training Academy 2024

Are you ready to enhance your data analysis skills? The Galaxy Training Academy is a five-day global online event designed for beginners and those looking to enhance their Galaxy expertise.

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.