Galaxy Community Hub

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.

News 12,000 users - 6,900,000 jobs - 13,300,000 datasets – 8300 jobs per day, 350 jobs per hour, 6 per minute: every 11 seconds finishes one job in Galaxy

Get Access to Laniakea@ReCaS – ELIXIR-ITALY Laniakea@ReCaS offers access to Cloud resources to be used for on-demand Galaxy instances, ready for production, with reference data and tools already pre-configured

Exciting progress in the ELIXIR Galaxy community – Towards a European network of Galaxy resources


With Love: The All-new GVL 5.0 (beta) – Now more reliable, with better security, and with new features.

Crowdsourcing citizen science data on – Galaxy for Ecology, mixing Ecology research, Citizen Science and Massively Multi Online Science


9th Galaxy workshop on HTS data analysis – 1-week full-day hands-on workshop on analysis of RNA-seq, ChIP-seq, Exome-seq, MethylC-seq data

Galaxy @ ABRF 2020 – Single Cell, and Functional Characteristics of Microbiomes

Traitement de données de séquences par Galaxy – La formation se veut équilibrée entre théorie et démonstrations pratiques.

2020 Galaxy Admin Training – The ins and outs of setting up your own production quality Galaxy server. Plus, Barcelona!

Bulk RNASeq in Galaxy: from reads to counts – Familiarize yourself with the Galaxy user interface & execute a complete analysis of RNA-seq data