← Back to events

Introduction to Galaxy

University of Utah

**Instructor: Dave Clements

November 16, 2016

BMI classroom, 421 Wakara Way
Suite 140, Research Park
University of Utah, Salt Lake City **

**[Register Now](https://docs.google.com/forms/d/e/1FAIpQLScidSa-MfpkOqzeaJbUqshhDoHTtzgeh82zxNOoh8SYNTkjvw/viewform)**

Registration is free and open to any member of the University of Utah community. Space is limited and available on a first-come, first served basis.


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.


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
5:00 Done

National Institutes of Health (NIH)

Amazon Web Services


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



Contact [Galaxy Outreach](mailto:outreach AT galaxyproject DOT org) or Karen Eilbeck.