2013 GMOD Summer School

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2013 GMOD Summer School

Dates: Friday July 19th - Tuesday July 23rd

Venue: NESCent, North Carolina

The GMOD Summer School is a five day course that covers the use of several widely used GMOD components in the context of a organism or clade database. The course is taught by members of the projects' development teams. Applications are competitive, since we generally receive many more applications that we have slots.

If you have any questions, please contact the GMOD help desk.


Online application form


The Course

The summer school comprises five days of hands-on courses on GMOD component installation, configuration, and usage. Most sessions are four hours (a half day), and the evenings feature work sessions where the instructors are available to answer questions and help participants use the tools with their data. The instructors on the course are experienced component developers and GMOD project staff.

The course covers the following topics in detail:

Topic Instructor Affiliation; GMOD role
GMOD in the Cloud Scott Cain Ontario Institute for Cancer Research
GMOD Project Coordinator; Chado, GBrowse
Chado Scott Cain Ontario Institute for Cancer Research
GMOD Project Coordinator; Chado, GBrowse
Galaxy Dave Clements Galaxy Project, Emory University
Galaxy
GBrowse Scott Cain Ontario Institute for Cancer Research
GMOD Project Coordinator; Chado, GBrowse
GBrowse syn Sheldon McKay iPlant Collaborative, CSHL
GBrowse_syn, GBrowse
GFF3 Scott Cain Ontario Institute for Cancer Research
GMOD Project Coordinator; Chado, GBrowse
JBrowse Robert Buels University of California, Berkeley
JBrowse
MAKER Barry Moore (to be confirmed) University of Utah
MAKER
SOBA Barry Moore (to be confirmed) University of Utah
MAKER
Tripal Stephen Ficklin Washington State University
Tripal
WebApollo Ed Lee (to be confirmed) Berkeley Bioinformatics Open-source Projects (BBOP)
Apollo, WebApollo


Depending on the availability of an instructor, we may also have an Intermine tutorial.


Course Work

The 2013 Summer School will use Amazon Web Services to host virtual GMOD instances containing the software and demo data used during the course. See GMOD in the Cloud for more information on the GMOD Amazon Machine Images available to the public. The tutorials used on the course will be available on this wiki for interested persons to work through.