9:00-5:00, July 19-20, 2016
Instructor: Dave Clements **
Registration is free and open to any member of the University of Rochester community. Space is 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.
Tuesday, July 19
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.
|1:20|| RNA-Seq Example Part I
NGS data quality issues and quality control options in Galaxy
|3:05|| RNA-Seq Example Part II
Wednesday, July 20
Question and Answer from the first day
|9:20|| RNA-Seq Example Part III
|11:00|| RNA-Seq Example Part IV
Enrichment analysis, and using Galaxy to compare tools
|1:20|| RNA-Seq Example Part V
Splice Junction Identification
This workshop is generously supported by **
- Center for Integrated Research Computing (CIRC)
- UR Genomics Research Center (GRC)
- Edward G. Miner Library
- UR Research Data Integration and Analytics (RDIA)
- University of Rochester
- National Institutes of Health (NIH)
Please post / distribute the workshop flier to anyone who might be interested.
We will ask for it!