Tuesday April 30, 2013
Caroline Building, Room 204**
Registration is free, and open to anyone, but advanced registration is required.
Are you a biomedical researcher who needs to do complex analysis on large datasets?
Galaxy is an open, web-based platform for data intensive biomedical research that enables non-bioinformaticians to create, run, tune, and share their own bioinfor-matic analyses.
These hands-on workshops 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.
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
|10:30|| 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
|11:30||Lunch (on your own)|
|1:00|| RNA-Seq Example Part II
Mapping and Splice Junction Calling with Tophat
|1:30|| Galaxy Project Overview
Introduction to Galaxy and the Galaxy community
|2:00|| RNA-Seq Example Part III
Cufflinks, Visualization, and Visual Analytics
|2:30|| Sharing, Publishing, and Reproducibility with Galaxy
Share and publish analysis, datasets, and workflows with Galaxy
|3:10|| ChIP-Seq Example
A second NGS example, this time with ChIP-Seq data
This workshop is generously supported by an AWS in Education grant award, and Saint Louis University Department of Biochemistry and Molecular Biology.
This workshop is part of the 2013 Missouri Galaxy Workshop Tour.