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.
Storage bottleneck on usegalaxy.eu results in slow queueing times
WP1 is covering all aspects of project administration and project management
WP5 - use-cases from 3 early adopters to embrace Open Science best practices
The EuroScienceGateway project started officially with a 2 days kickoff meeting with all 17 partners
EuroScienceGateway will deliver a robust, scalable, seamlessly integrated open infrastructure for data-driven research
Oct 31 - Dec 19Analysis of biological data with Galaxy
Learn how to use Galaxy in YOUR research
Feb 6 - Feb 10Single-cell RNA-seq analysis using Galaxy
Participants will be guided through the droplet-based scRNA-seq analysis pipelines from raw reads to trajectories.
Apr 25 - Apr 26Galaxy Introduction for Life Scientists
This 1.5-day course will give a general introduction on the galaxy web-page structure, how to import data, run tools, share analyses and build workflows. Participants will run a whole NGS analysis using an RNA-seq dataset as an example.
The Freiburg Galaxy Team is offering several services to enable reproducible and accessible research for everyone:
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!
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.