News (2)
Ten Common Misconceptions About Galaxy (And Why They’re Wrong!)
We are thrilled to announce that 'Ten Common Misconceptions About Galaxy (And Why They Are Wrong!)' has just been published in PLOS Computational Biology! This paper is the result of passionate discussions, collaborative debates, and a shared commitment to clarifying what Galaxy truly is—and what it can do. Whether you are a longtime Galaxy user or new to the platform, this paper will challenge assumptions and highlight Galaxy's versatility, scalability, and impact across disciplines.
W4E2025 Workshop Review – Empowering Metabolomics Researchers with W4M
Bring your own data Metabolomics Training Recap.
Events (2)
Workflow4Experimenters 2027
Analyze your data with Galaxy and the Workflow4Metabolomics infrastructure! During this one-week-long on-site course (preceded by half-a-week of webinars), you will learn how to use the W4M-promoted Galaxy tools for metabolomics, and analyze your own LC-MS, GC-MS or NMR data through tutoring sessions.
Developing Modular Galaxy Workflows for High-Resolution Mass Spectrometry Exposomics Data Processing
An Exposome toolbox for Galaxy is being developed to ease analysis of high-resolution mass spectrometry (HRMS) datasets