Difference between revisions of "2013 GMOD Summer School"
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− | | Day 1, AM || [[Cloud|GMOD in the Cloud]] || [[User:Scott|Scott Cain]] || [http://oicr.on.ca/ Ontario Institute for Cancer Research]<br>GMOD Project Coordinator; [[Chado]], [[GBrowse]] | + | | Day 1, AM || [[Cloud|GMOD in the Cloud]], [[AWS walkthrough]] || [[User:Scott|Scott Cain]] || [http://oicr.on.ca/ Ontario Institute for Cancer Research]<br>GMOD Project Coordinator; [[Chado]], [[GBrowse]] |
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| Day 2, AM || [[Chado Tutorial]] || [[User:Scott|Scott Cain]] || [http://oicr.on.ca/ Ontario Institute for Cancer Research]<br>GMOD Project Coordinator; [[Chado]], [[GBrowse]] | | Day 2, AM || [[Chado Tutorial]] || [[User:Scott|Scott Cain]] || [http://oicr.on.ca/ Ontario Institute for Cancer Research]<br>GMOD Project Coordinator; [[Chado]], [[GBrowse]] |
Revision as of 16:01, 17 July 2013
Dates: Friday July 19th - Tuesday July 23rd 2013
Venue: NESCent, North Carolina
The GMOD Summer School is a five-day course that covers the installation, configuration, and use of a number of widely-used GMOD components, including GBrowse, Galaxy, JBrowse, MAKER, Tripal, WebApollo, and the Chado database schema. The sessions are taught by developers of the tools, so they can give expert insight into any problems encountered. 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.
Applications have now closed for the GMOD Summer School.
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:
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.