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Summer Course on Computational Modeling with Simmune
United States - MD - Bethesda

Hosted by: National Institutes of Health (NIH)
Venue: National Institutes of Health (NIH), main campus
Dates: Jun 04, 2012 through Jun 08, 2012

Travel Fund Apps: 2012-03-12 through 2012-04-02
Event Registration: 2012-03-12 through 2012-04-15
 
Description
 
Part 1 (June 4-6)
* Creating quantitative models of cellular signaling using visual tools
* Performing spatially resolved simulations of cellular biochemistry
* Combining biochemical and morphological dynamics

Part 2 (June 6-8)
* Using the Simmune software API to develop custom simulations

Part 1 of the course is for experimental biologists who want to learn how to develop and use quantitative computational models of cellular signaling processes. Prior modeling experience is not required due to the unique visual interface of Simmune. Participants should, however, have an active interest in quantitative aspects of cell biological phenomena. The course will provide hands-on guidance using examples such as G-protein coupled receptor signaling, growth factor signaling networks, chemokine sensing, and cellular adhesion.

Part 2 is aimed at computational modelers who want to use the capabilities of the Simmune API in their projects. Programming experience is required. Typically, people participating in the second part may want to join the first part as well.

Participants should ideally bring their own laptop but computers will also be provided on site.
A limited number of scholarships (travel & lodging) is available.
To apply please send an email with subject ‘course’ to: simmune@niaid.nih.gov
Please include a brief statement of your research interests and specify which part(s) of the course you are interested in.
There is no fee for the course.
 
Additional Information
 
Event URL: http://go.usa.gov/URm
ISCB Member Discount: None
Contact Person: Dr. Bastian Angermann ([javascript protected email address])

While ISCB provides for conference and event listings that may be of interest to members and bioinformaticians at large, ISCB is not responsible for the content provided by outside sources. Such listings are not meant as an endorsement by ISCB.



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