Introduction to Galaxy
    April 20
    Iowa State University

    **Instructor: Dave Clements

    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 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:

    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



    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.


    Contact Galaxy Outreach @