Washington University in St. Louis        Washington University’s Becker Medical Library
    Introduction to Galaxy
    April 29, 2013 and May 1 2013

    **Workshops for the Washington University community

    Instructor: Dave Clements, Galaxy Project, Emory University

    9:00am-5:00pm (both days)**

    Monday, April 29 Wednesday, May 1

    Farrell Learning and Teaching Center
    Training Room 602, 520 S. Euclid Ave.
    Washington University in St. Louis

    Registration

    Registration is free, and open to anyone in the Washington University community. Both days are now full.

    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 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.

    Agenda

    The agenda is the same for both days.

    Time Topic
    9:00 Welcome
    Introductions and logistics
    9:20 Basic Analysis with Galaxy
    Walk through a worked, hands-on example demonstrating basic analysis with Galaxy
    10:40 Break
    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, quality control options in Galaxy, and Mapping and Splice Junction Calling; Transcript assembly with Cufflinks
    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
    Discuss and run differential gene expression analysis, and merging multiple experiments into a single picture; Visualization and Visual Analytics
    2:45 Break
    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
    5:00 Done

    Washington University’s Becker Medical Library

    Amazon Web Services

    Support

    2013 Missouri Galaxy Workshop Tour

    This workshop is generously supported by Washington University’s Becker Medical Library and an AWS in Education grant award.

    This workshop is part of the 2013 Missouri Galaxy Workshop Tour.

    Slides

    Flyer

    Please distribute to groups in Washington University that might be interested. You are also encouraged to print a post a copy of the workshop flyer.

    Questions?

    Contact Kristi Holmes or Galaxy Outreach.