News (8)
GCC2026 Fishbowl Discussion: AI, Galaxy, and Trustworthy Scientific Software
At GCC2026, the Galaxy community came together to ask how AI can support scientific discovery while preserving the trust, transparency, reproducibility, and human-centered values that define Galaxy.
A repository for both humans and AI agents
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.
Eight LLMs, one RNA-seq dataset: what we learned controlling Galaxy from Orbit
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.
Announcing a shared Hugging Face data table for Galaxy
Galaxy is standardising a shared data table for pre-downloaded Hugging Face models so tool authors and admins can coordinate without duplicated effort.
AI for wildlife study, when Ecology and Imaging are benefiting from Galaxy ecosystem
Galaxy for Ecology, mixing Ecology research, Citizen Science and AI
Using Claude AI for Literature Searches
LLMs for literature search produce 'interesting' results: It is almost useful
LLM Hub: Large Language Models Made Easy in Galaxy
Access powerful Large Language Models in Galaxy easily
Using Large Language Models in complex workflows
Use ChatGPT in your analysis on the Galaxy Server to leverage the Large Language Model in your automated workflows