**Instructor: Dave Clements
A workshop for the Iowa State community supported by
ISU Bioinformatics and Computational Biology program / NSF-IGERT**
and an AWS in Education grant award
Registration was free, and open to anyone in the Iowa State community. However, space was limited.
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 bioinformatic 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.
The draft agenda is:
|9:00|| Welcome, Intro
Introduction to Galaxy and the Galaxy community
|9:20|| Basic Analysis with Galaxy
Walk through a worked, hands-on example demonstrating basic analysis with Galaxy
|10:45|| NGS Analysis I
Use Galaxy to integrate and analyze your high throughput sequencing data.
|1:15|| NGS Analysis II
More high-throughput analysis with Galaxy
|2:15|| Visualization & Visual Analytics in Galaxy
Learn to use Galaxy's built-in visualization capabilities. We'll also demonstrate Galaxy's visual analytics support, using the tight coupling of visualization and analyses to iteratively guide analysis.
|2:35|| Manage, Reuse and Share your Analyses with Galaxy
Use Galaxy to record every step, parameter setting, and dataset used in an analysis; share/publish analysis and resulting datasets; and to create generic workflows that can be run on different sets of input data.
|3:30||Do your own analysis!|
This workshop is generously supported by an AWS in Education grant award, and the ISU Bioinformatics and Computational Biology program / NSF-IGERT.
Contact Galaxy Outreach @ firstname.lastname@example.org.