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What is Galaxy?

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming or systems administration experience.

How do I access Galaxy?

Access to Beocat's local instance of Galaxy is easy. Simply navigate to https://galaxy.beocat.ksu.edu/ and sign in if prompted using the Keycloak login. This will use your Beocat EID and Password to login, you will also be prompted to authenticate against DUO.

Tool Requests

If you are missing a specific tool and would like to have it added to Galaxy, please contact beocat@cs.ksu.edu with a link to the tool. Additionally, you can browse through Galaxy's own toolshed to make a recommendation.

Data Management

Galaxy follows the typical costs for bulk data storage, as Galaxy utilizes /bulk/galaxy for storage. Bulk data storage may be provided at a cost of $45/TB/year billed monthly. Billing starting at 1TB of usage. Users can easily see how much data they are utilizing in galaxy by checking the top right corner of the 'home' page of galaxy. This will say "Using ####MB/GB/TB", above your histories. Clicking on this usage will bring you to a storage dashboard where you can easily manage your files and derelict dataset histories. Examples of these options are show below:

Data Usage:

Galaxy Data usage example.png

Storage Dashboard:

Storage dashboard.png

Requesting Help

To request help with https://galaxy.beocat.ksu.edu/, please contact beocat@cs.ksu.edu.
When requesting help, it is best to give as much information as possible so that we may solve your issue in a timely manner.

Acknowledgements

Beocat's installation of UseGalaxy is funded through K-INBRE with an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under grant number P20GM103418.

This initiative was started through the Data Science Core group to bring easy to use GUI-based computational biology research to students and researchers at Kansas State University through Beocat.

Additional information on K-INBRE can be found here