Stian Soiland-Reyes edited this page Feb 29, 2016 · 1 revision

Galaxy is an open, web-based platform for data intensive biomedical research. Galaxy can be accessed on a free public server, or installed locally in the lab.

Rather than building a workflow up-front, Galaxy uses a data playground approach, effectively building a workflow implicitly by applying a series of operations on the data items, keeping a History of all intermediate data items that are produced (and how they were made), making it easy to rerun parts of the workflow and share the results with others.

Galaxy has tight integration with a large collection of tools for genomics and sequence analysis, and is therefore popular for Next-Gen Sequencing data analysis. Adding a new tool is done by making a little Python wrapper and a description.

Maintaining a Galaxy instance can be a challenge, as it means also keeping track of all the installed tools and reference datasets. Recently Galaxy is also available as a Docker image, which simplifies the installation.

Galaxy is working on [Common Workflow Language](Common Workflow Language) support.

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