• Date: September 19th 2017

Boyce Thompson Institute    Cornell University
Introduction to Galaxy
July 21, 2016

**Instructor: Dave Clements

9:00-5:00

Location
Room B30A, Mann library
Cornell University **

Registration

This workshop is now full. However, you can still get on the waiting list.

Registration is free and open to any member of the Boyce Thompson Institute and the Cornell research community. Space is available on a first-come, first served basis. ## Audience Are you a life scientist who needs to do complex analysis on large datasets? Galaxy is an open, web-based platform for data intensive life science research that enables non-bioinformaticians to create, run, tune, and share their own bioinformatic analyses. Most of the workshop will be hands-on and teach participants how to integrate data, and perform simple and complex analysis within Galaxy. It will also cover data visualization and visual analytics, and how to share and reuse your bioinformatic analyses, all from within Galaxy. No programming or Linux command line experience is required. ## Agenda The agenda below is tentative and should be considered a work in progress.
Time Topic
9:00 Welcome
Introductions and logistics
9:20 Basic Analysis with Galaxy
Walk through a worked, hands-on example demonstrating basic analysis with Galaxy
10:45 Break
11:00 Basic Analysis into Reusable Workflows
Genericize our analysis into something we can use again.
12:20 Lunch (on your own)
1:20 RNA-Seq Example Part I
Review 1) NGS data quality issues and some quality control options in Galaxy; and 2) Mapping and Splice Junction Calling
2:50 Break
3:05 RNA-Seq Example Part II
Differential expression
4:30 Launch your own Galaxy instance on Amazon Web Services
5:00 Done

National Institutes of Health (NIH)

Amazon Web Services

Support

This workshop is generously supported by an AWS in Education research grant award, the Boyce Thompson Institute, Cornell University, and the National Institutes of Health (NIH).

Slides

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Questions?

Contact Galaxy Outreach.