$130.02 – $480

2019 Galaxy Administration Training

Event Information

Location

Location

Millennium Science Complex

Penn State University

State College, PA 16802

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Refund Policy

Refund Policy

Refunds up to 30 days before event

Event description

Description

The 2019 Galaxy Admin Training workshop will be offered January 28 through February 1 at Penn State University, where the Galaxy Project got started over ten years ago. The workshop is split into a 2 day introductory session and a 3 day advanced topics session. Participants can register for one or both sessions.

This workshop will cover basic and advanced topics you need to know to set up your own production, high-performance and multi-user Galaxy instance. Sessions will be intensive and hands-on, and taught by experienced instructors from the Galaxy Community. Participants will learn how to install, configure, customize, and extend their own Galaxy servers. Topics include tool configuration, authentication and user management, using heterogeneous storage and compute services, and many other topics that will enable you to get your own Galaxy server up and running, performing well, and used by your community.

Galaxy is an open web based platform for biomedical data integration and analysis. It is deployed at large and small organizations around the world and used in a broad range of biomedical research domains, and across the tree of life.

Prerequisites and Laptop Requirements

There are both knowledge and laptop requirements. Please read and confirm that you meet them, before registering for any sessions

Registration

Registration is available on a first come, first served basis. Rates depend on your organization's non-profit status and when you register. Early registration starts at $40/day for non-profits and academics. Early registration closes October 31.

Questions? Ask outreach@galaxyproject.org.

See you in Januaary

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Location

Millennium Science Complex

Penn State University

State College, PA 16802

View Map

Refund Policy

Refunds up to 30 days before event

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