Paper cuts are annoying but easy to fix bugs
Galaxy is an open, web-based platform for accessible, reproducible, and transparent computational research.
- Accessible: programming experience is not required to easily upload data, run complex tools and workflows, and visualize results.
- Reproducible: Galaxy captures information so that you don't have to; any user can repeat and understand a complete computational analysis, from tool parameters to the dependency tree.
- Transparent: Users share and publish their histories, workflows, and visualisations via the web.
- Community centered: Our inclusive and diverse users (developers, educators, researchers, clinicians, etc.) are empowered to share their findings.
Welcome to the Galaxy Community Hub, where you'll find community curated documentation of all things Galaxy.
NanoGalaxy: Nanopore long-read sequencing data analysis in Galaxy – New paper in GigaScience
JXTX Foundation Awards First Ten Scholarships – Awardees will be attending Biological Data Science 2020
EOSC-Life October News – Galaxy training, CellProfiler, and more
Teaching Advanced Microbiology with Galaxy and TIaaS – Addressing challenges the global coronavirus pandemic
Remote training using Galaxy – Lessons learned from our ELIXIR Galaxy Machine Learning Workshop
Functionally Assembled Terrestrial Ecosystem Simulator (FATES) – Learn to compose and execute repeatable and reproducible modelling workflow with FATES for improving climate models.
Next Generation Sequencing (NGS) Introduction – 3 day training workshop from BioTrac
Diving into the Galaxy: an accessible and reproducible workbench with an European-wide distributed compute network – Best-practices, tools, workflow development, transparent and reproducible research