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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!

  • RT @OBF_BOSC: Call for Abstracts for Late-Breaking Lightning Talks and Posters (due June 5): http://t.co/Q6Ru4ZKZbg #BOSC2015 2015-05-28 13:38:23
  • Building & provisioning comp cluster environments on academic & commercial clouds, MIPRO 2015 TODAY 11:45 http://t.co/Z1vXycId3z #usegalaxy 2015-05-28 13:38:23
  • Cloudflow: Framework for MapReduce Pipeline Development in Biomedical Research, MIPRO 2015 9:00 TODAY http://t.co/Z1vXycId3z #usegalaxy 2015-05-28 13:38:23
  • RT @pjacock: GCC2015 (Norwich) & #BOSC2015 (Dublin) flights booked, but only 10kg luggage - hope get new @galaxyproject #usegalaxy #tshirt … 2015-05-28 13:38:23
  • Design and bioinformatics analysis of genome-wide CLIP experiments by Wang et al. @NAR_Open http://t.co/P08RAKo4Pf #usegalaxy 2015-05-28 13:38:23
  • RT @bobbledavidson: Excited to be nearing #MetSoc2015, for my session on 'Setting sail in the sea of #BigData", with @dbkell http://t.co/tQ… 2015-05-28 13:38:23