Galaxy is an open-source platform for FAIR data analysis that enables users to:

use tools from various domains (that can be plugged into workflows) through its graphical web interface.
run code in interactive environments (RStudio, Jupyter...) along with other tools or workflows.
manage data by sharing and publishing results, workflows, and visualizations.
ensure reproducibility by capturing the necessary information to repeat and understand data analyses.

The Galaxy Community is actively involved in helping the ecosystem improve and sharing scientific discoveries.

The French Galaxy server

The French Galaxy server UseGalaxy.fr is maintained by IFB NNCR Cluster Task force. Please check our Terms of Use and data retention policy before using the server. We offer thousands of tools, increased quota on temporary basis, and compute infrastructure for trainers through Training Infrastructure as a Service (TIaaS).

The following regional platforms, members of IFB, are involved in the maintenance and development of UseGalaxy.fr:

GenOuest, in Rennes
ABiMS, in Roscoff
AuBi, in Clermont-Ferrand

Contact

Ask for help, tools, or temporary increase of quota on our support forum

Contact support

Training

If you are organising a training session, you can book computing resources using the TIaaS system

TIaaS request

GalaxyCat

Can't find a tool on usegalaxy.fr? Why not search on the IFB Galaxy Catalog ?

Browse GalaxyCat

Citation

Have you used the French Galaxy server for your data analysis?

Cite the server

Team

The French Galaxy team is distributed across different cities in France.

Meet the team

Communities: domain-centric Galaxy subdomains

Microbiology

Whether you're working with microbiome samples or bacterial isolates, long or short reads, shotgun or 16S sequencing, genomics, transcriptomics, proteomics, metabolomics, or integrative multi-omics analysis—this is the place for you!

Microbiology

Single-cell

Access Single Cell Omics analysis tutorials, tools, and workflows that let you analyse data without programming experience or private infrastructure.

Single-cell

Workflow4Metabolomics

Data processing, analysis and annotation for the metabolomics community

Workflow4Metabolomics

Covid19

Variant analysis, consensus using community approved workflows and datasets

Covid19

Metabarcoding

With the following tools and pipelines: FROGS, QIIME, Mothur, Obitools, dada2, PICRUSt

Metabarcoding

Met4J

Open-source Java library dedicated to the structural analysis of metabolic networks

Met4j

MNHN

Tools from the French Muséum National d'Histoire Naturelle

MNHN

News

Galaxy Newsletter December 2025

From celebrating 20 years of Galaxy to highlighting this year’s releases, training milestones, and research breakthroughs, this final newsletter of 2025 reflects on how far the community has come and looks ahead to what’s next.

The Galaxy 25.1 Release is Live!

Galaxy 25.1 brings a modern card-based history interface with advanced keyboard navigation, powerful Sample Sheets for complex workflow inputs, an enhanced Tool Discovery view with EDAM ontology integration, the new Galaxy Charts visualization framework featuring IGV.js genome browser, a dedicated Recent Exports & Downloads page, visual indicators for short-term storage expiration, secure tool credentials and authentication management, workflow editor search capabilities, a redesigned User Preferences interface, and much more!

Using Claude AI for Literature Searches

LLMs for literature search produce 'interesting' results: It is almost useful

DataPLANT Presented Cloud Architecture and ARC RO-Crates at the 1st Open Access Workshop held in Göttingen

Freiburg Galaxy team recently joined experts in Göttingen for the 1st Open Architecture Workshop to help shape the future technical foundations of the National Research Data Infrastructure (NFDI). The team presented their cloud-oriented architecture and shared critical insights from the PLANT DataHUB regarding scalable storage and the "Software as a Service" approach. Read the full report to discover how collaborative efforts and common building blocks, such as ARC RO-crates, are driving the development of a robust and interoperable data ecosystem.

Training Infrastructure Feedback from Hans-Rudolf Hotz and Lucille Delisle

Teaching about galaxy and its workflow capabilities.