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Galaxy is an open, web-based platform for accessible, reproducible, and transparent computational biomedical research.
  • Accessible: Users without programming experience can easily specify parameters and run tools and workflows.

  • Reproducible: Galaxy captures information so that any user can repeat and understand a complete computational analysis.

  • Transparent: Users share and publish analyses via the web and create Pages, interactive, web-based documents that describe a complete analysis.

This is the Galaxy Community Wiki. It describes all things Galaxy.

Use Galaxy

Galaxy's public web server usegalaxy.org makes analysis tools, genomic data, tutorial demonstrations, persistent workspaces, and publication services available to any scientist. Extensive user documentation applicable to any public or local Galaxy instance is available.


Deploy Galaxy

Galaxy is a free and open source project available to all. Local Galaxy servers can be set up by downloading the Galaxy application.


Community & Project

Galaxy has a large and active user community and many ways to get involved.


  • Users: Share your histories, workflows, visualizations, data libraries, and Galaxy Pages, enabling others to use and learn from them.

  • Developers: Contribute tool definitions to the Galaxy Tool Shed (making it easy for others to use those tools on their installations), and code to the codebase.

  • Everyone: Get Involved!

  • Galaxy "evolves thanks to a collaborative community of users & developers as a shared effort" http://t.co/bTXhtW5DbS Amen! #usegalaxy 2015-02-27 03:40:59
  • Selected Approaches & Frameworks to Carry out Genomic Data Analysis on the Cloud, by Church & Goscinski http://t.co/ajLJxtMofL #usegalaxy 2015-02-27 03:40:59
  • RT @seppinho: great talk by @EnisAfgan about Galaxy,CloudMan & the Genomics Virtual Lab @projectnectar Very Impresssive #usegalaxy http://t… 2015-02-27 03:40:59
  • RT @jgoecks: @GenomeAnalysis @galaxyproject Thanks TGAC for hosting me! Fantastic place, great research, awesome people! 2015-02-27 03:40:59
  • RT @GenomeAnalysis: Great talk on @galaxyproject from @jgoecks - scalability, large data sets, plug-ins, visualisations, integration #bioin… 2015-02-27 03:40:59
  • RT @cshlmeetings: Last call! Applications are due March 1st for a new bioinformatics course on High-Throughput Biology (April... http://t.c… 2015-02-27 03:40:59