July 19, 2013
**Instructor: Dave Clements
Health Sciences Library Biogen-Idec Classroom (#307)
University of North Carolina Chapel Hill**
Registration was free, first come first served, and open to anyone in the UNC-CH research community.
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.
This hands-on workshop will 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.
Introductions and logistics
|9:20|| Basic Analysis with Galaxy
Walk through a worked, hands-on example demonstrating basic analysis with Galaxy
|11:00|| Basic Analysis into Reusable Workflows
Genericize our analysis into something we can use again.
|11:30|| RNA-Seq Example Part I
Review NGS data quality issues and some quality control options in Galaxy; Mapping and Splice Junction Calling with Tophat
|12:30||Lunch (on your own)|
|1:30|| RNA-Seq Example Part II
Cufflinks, Visualization, and Visual Analytics
|2:20|| Galaxy Project Overview
Introduction to Galaxy and the Galaxy community
|3:00|| RNA-Seq Example Part III
Discuss and run differential gene expression analysis, and merging multiple experiments into a single picture
|3:40|| Sharing, Publishing, and Reproducibility with Galaxy
Using Galaxy for collaboration and reproducibility
|4:00|| Setting up a Galaxy Cluster on the Amazon Cloud
Introduce Amazon Web services and cloud concepts; demonstrate starting Galaxy on the cloud