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.
Read about Galaxy's participation at PAG31.
Workflow comments, InvenioRDM integration, improved search, admin and config updates and more!
Effective March 31st, 2024, Galaxy will be leaving Twitter/X.
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.