October 22, 2012
**Instructor: Dave Clements
Room: MRGN 129 (new location)
1201 W. State Street
West Lafayette, IN 47907**
The workshop is free and anyone in the Purdue Community can apply to attend. However, space is limited and admission is competitive and based on the strength of the applications received. The workshop application deadline was October 14. If you applied, you will be notified of your application status within a few days.
Are you a biological researcher who needs to do complex analysis on large datasets?
Galaxy is an open, web-based platform for data intensive biological research that enables non-bioinformaticians to create, run, tune, and share their own bioinformatic analyses.
This hands-on workshop will teach participants how to integrate data, and perform simple and complex analysis within Galaxy. They will also cover data visualization and visual analytics, and how to share and reuse your bioinformatic analyses, all from within Galaxy.
Introductions and logistics
|9:20|| Basic Analysis with Galaxy
Walk through a worked, hands-on example demonstrating basic analysis with Galaxy
|10:20|| Basic Analysis into Reusable Workflows
Genericize our analysis into something we can use again.
|11:00|| RNA-Seq Example Part I
Review NGS data quality issues and some quality control options in Galaxy; Mapping and Splice Junction Calling with Tophat
|12:00|| Galaxy Project Overview
Introduction to Galaxy and the Galaxy community
|1:40|| RNA-Seq Example Part II
Cufflinks, Visualization, and Visual Analytics
|2:30|| Manage, Reuse and Share your Analyses with Galaxy
Share and oublish analysis, datasets, and workflows with Galaxy
|3:10|| Setting up your own Galaxy Cluster on the Amazon Cloud
Every participant will set up their own functional and populated (but short-lived) Galaxy server on the cloud
No programming or Linux command line experience is required.
All work will be done in a web browser and we will use the computer workstations in the room. You do not need to bring a laptop.
Contact Galaxy Outreach @ email@example.com.