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.
Use Napari in the European Galaxy Server as an interactive tool
Poster Presentation entitled MAdLand Tools & Resources
Seminar talk entitled MAdLand Resources & Tools presented by Deepti Varshney and Saskia Hiltemann
Read about Galaxy's participation at PAG31.
Workflow comments, InvenioRDM integration, improved search, admin and config updates and more!
Feb 26 - Mar 1Hackathon Image Analysis in Galaxy
This hackathon addresses the improvement of Galaxy for image analysis
Galaxy is participating in the Computational Applications in Secondary Metabolite Discovery (CAiSMD) online workshop. Paul will give an oral presentation about the potential of Galaxy for novel secondary metabolite discovery, especially in the context of metagenomics research. There will also be a hands-on session demonstrating a simple use case.
This course introduces scientists to the data analysis platform Galaxy. The course is a beginner course; there is no requirement of any programming skills.
Join us at BioNT, for a 2-day online workshop. Everyone manages their data, but the question is, how well? In this two-day workshop, you will learn how to manage your data properly to make it reusable in the long term, to make your analyses reproducible, and to make your processes transparent. You will learn the basic concepts of research data management, including the FAIR Data Principles. You will also learn about relevant policies, draft a data management plan and learn about the use and benefits of electronic lab notebooks. By the end of this workshop, you will also be able to make your computational results trustworthy and reproducible. Registarion deadline is extended until the 25.02.2024.
This hackathon aims to improve the annotation of Galaxy resources for microbial data analysis and beyond
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.