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 CellProfiler as if you were working in your local workstation
Workflows covering astronomy, biodiversity, earth science and genomics published in WorkflowHub together with onboarding guide
Galaxy Europe at the Free and Open Source Developers’ European Meeting in Brussels 🍟
Poster Presentation entitled MAdLand Tools & Resources
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
May 7 - May 11Biology of Genomes
The 2024 meeting will address DNA sequence variation and its role in molecular evolution, population genetics, complex diseases, comparative genomics, large-scale studies of gene and protein expression, and genomic approaches to ecological systems.
For large files, FTP upload is also available on this server. Connect to port 23 with the same credentials you use to log into Galaxy. Once uploaded, open the Galaxy file upload menu, and click on the Choose FTP file button to import the files into your history.
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!
This Galaxy is maintained by the Bioinformatics group of the department of Pathology.
For any questions regarding this Galaxy server, please contact us.