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.

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