Data Driven Research for Everyone
Galaxy is an open, web-based platform for accessible, reproducible, and transparent computational biological research.
- Accessible: Users can easily run tools without writing code or using the CLI; all via a user-friendly web interface.
- Reproducible: Galaxy captures all the metadata from an analysis, making it completely reproducible.
- Transparent: Users share and publish analyses via interactive pages that can enhance analyses with user annotations.
- Scalable: Galaxy can run on anything, from a laptop, to large clusters, to the cloud
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 an 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 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.
Jul 18, 2020 - Jul 19, 2020
Introduction to Machine Learning at BCC2020
Jun 22, 2020 - Jun 26, 2020
Galaxy-ELIXIR Webinar/Workshop: Machine Learning using Galaxy
May 28, 2020
Galaxy-ELIXIR Webinar 5: Behind the scenes - Global Open Infrastructures at work
May 20, 2020
Galaxy-ELIXIR Webinar 4: Evolution of the Virus
May 19, 2020
Online Galaxy Introduction Workshop
May 14, 2020