• Date: September 22nd 2017

Introduction to Galaxy
April 20
Iowa State University

**Instructor: Dave Clements

9am-5pm
MBB 1340 (Computer Lab)

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

Registration was free, and open to anyone in the Iowa State community. However, space was limited.

Audience

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.

Agenda

The draft agenda is:

Time Topic
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
10:20 Break
10:45 NGS Analysis I
Use Galaxy to integrate and analyze your high throughput sequencing data.
Noon Lunch
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.
3:00 Break
3:30 Do your own analysis!
5:00 Done

Slides

Support

Amazon Web Services

This workshop is generously supported by an AWS in Education grant award, and the ISU Bioinformatics and Computational Biology program / NSF-IGERT.

Questions?

Contact Galaxy Outreach @ outreach@galaxyproject.org.