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Members of the US Galaxy Project team attended the AWS Summit in Washington, D.C. to build relationships that can grow into scientific collaborations and more sustainable open-source infrastructure. A conference session on a third-party AI agent for Galaxy administration was a highlight.
Machine learning at Galaxy Community Conference 2026, Clermont-Ferrand, France
A GESS presented during the European Geoscience Union
GalaxyLabs is an international effort to make sustainable, researcher-focused and community-curated interfaces across Galaxy, from Genomics to Single-cell analyses.
Lessons from building galaxy-tool-refactor: keep one set of runnable scripts and let CI, git hooks, a Makefile, and AI-agent skills all call them, so people and agents share one workflow that can't drift apart.
How an ELIXIR Staff Exchange connected the mutational scanning community, Galaxy Australia, and Galaxy Europe through FAIR infrastructure, training, and collaboration.
We pointed eight frontier LLMs at the same Candida auris RNA-seq study and asked each to reanalyze it on Galaxy through Orbit. Six reproduced the headline result — and the failures taught us more than the successes.
The Galaxy Europe team has participated in the ELIXIR All Hands meeting 2026 in Lyon, France.
Insights from a workshop on workflow FAIRification
Explording Reproducible Workflows in the Arts and Humanities
My journey wrapping HAL, PAF, and TAF tools for the European Galaxy server.
Dr Gareth Price reflects on the Galaxy Labs Engine paper, recently published in GigaScience, and the GCC conversations and BioHackathons that grew it from an idea into a globally deployed tool.
New for Galaxy Training Academy 2026: Meet the Experts
This is a small tale about my 3 months stay in Freiburg joining Galaxy Project team.
Galaxy’s FAIR Pages: A New Resource for FAIR Research
Leverage next-generation TabPFN models on the European Galaxy server to classify complex biomedical datasets with high accuracy.
Why you should ask help from the Galaxy experts
Galaxy 26.0 brings major new capabilities to the Galaxy experience, from built-in AI assistance and interactive visualization to smarter workflow completion and easier troubleshooting. Explore the user release notes.
Galaxy is standardising a shared data table for pre-downloaded Hugging Face models so tool authors and admins can coordinate without duplicated effort.
We are thrilled to announce that the BioNT project (Bio Network for Training) has contributed a significant set of human-curated translated Galaxy training materials to the GTN, now live and available to learners worldwide!
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