July 18, 2013
**Instructor: Dave Clements
NIEHS Rall Room 101/A262
Research Triangle Park, NC**
Registration is free, first come first served, and open to anyone at NIEHS. Registration will be done internally at NIEHS. See the announcement email.
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.
The agenda below is tentative and should be considered a work in progress.
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.
|11:20|| RNA-Seq Example Part I
Review NGS data quality issues and some quality control options in Galaxy; Mapping and Splice Junction Calling with Tophat
|12:20||Lunch (on your own)|
|1:35|| Galaxy Project Overview
Introduction to Galaxy and the Galaxy community
|1:55|| RNA-Seq Example Part II
Cufflinks, Visualization, and Visual Analytics
|3:05|| Sharing, Publishing, and Reproducibility with Galaxy
Share and publish analysis, datasets, and workflows with Galaxy
|3:25|| 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
This workshop is generously supported by an AWS in Education grant award, and the National Institute of Environmental Health Sciences.
- Slides (will be posted before the workshop)