Data Driven Reseach 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.
Nov 7, 2018
Upcoming Server Migration
Nov 5, 2018
New Paper on "Uncontrolled Diabetes Mellitus Has No Major Influence on the Platelet Transcriptome"
Nov 2, 2018
New Paper on "The Transcription Factor ETV1 Induces Atrial Remodeling and Arrhythmia."
Oct 31, 2018
Training Infrastructure Feedback from Maria Doyle
Oct 30, 2018
New article 'Selbst ist der Forscher: Big-Data-Analysen leicht gemacht'
Oct 17, 2018
Heinz tools for network analysis over transcriptomics datasets
Feb 25, 2019 - Mar 1, 2019
Galaxy workshop on HTS data analysis
Jan 28, 2019 - Feb 1, 2019
2019 Galaxy Admin Training
Dec 6, 2018 - Dec 7, 2018
Galaxy RNA-seq data analysis workshop in Freiburg
Nov 19, 2018 - Nov 20, 2018
European Galaxy Days
Nov 15, 2018
GTN CoFest on Training Material
Sep 17, 2018 - Sep 21, 2018