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Sponsors/MathWorks
From 2013.igem.org
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| - | <p> MathWorks is pleased to sponsor the 2013 iGEM competition. As an iGEM partner, MathWorks will provide software and technical support to all iGEM teams that request it. | + | <p> MathWorks is pleased to sponsor the 2013 iGEM competition. As an iGEM partner, MathWorks will provide software and technical support to all iGEM teams that request it. Please complete the |
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<a href="http://www.mathworks.com/academia/student-competitions/software-request-registration-igem.html" | <a href="http://www.mathworks.com/academia/student-competitions/software-request-registration-igem.html" | ||
style="color:#CC0000"> <b>Software Request Form</b></a> (must be completed by faculty advisor) to request the complementary software kit. </p> | style="color:#CC0000"> <b>Software Request Form</b></a> (must be completed by faculty advisor) to request the complementary software kit. </p> | ||
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<p> The complementary software kit includes the following 9 products:</p> | <p> The complementary software kit includes the following 9 products:</p> | ||
<table style="color:#C0C0C0; padding:0px ; border-bottom:solid;border-top:solid;width:100%"> | <table style="color:#C0C0C0; padding:0px ; border-bottom:solid;border-top:solid;width:100%"> | ||
Revision as of 15:06, 3 April 2013
Accelerating the pace of engineering and science
MathWorks is pleased to sponsor the 2013 iGEM competition. As an iGEM partner, MathWorks will provide software and technical support to all iGEM teams that request it. Please complete the Software Request Form (must be completed by faculty advisor) to request the complementary software kit.
The complementary software kit includes the following 9 products:
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** See details of Offer of Complementary Software License(s)
See how former iGEMers used MathWorks tools, such as MATLAB and SimBiology, for a variety of modeling and simulation projects. A few examples from last year!
- Team UCL built multiple models to validate, predict and optimize various aspects of their project, Plastic Republic.
- Team Calgary created an deterministic model to predict the time course and response time of their electrochemical sensor, FRED.
- Team Carnegie Mellon derived an ODE model and used it with experimental time-course data to estimate key parameters like transcriptional and translational efficiency.
- Team Slovenia performed parameter scans to better characterize the effects of the parameters space on the behavior their bistable system, Switch IT.
Interested in using MATLAB for your in silico projects? We put together a few video tutorials to help you get started.
- Getting started with MATLAB
- Drag-and-drop model-building in SimBiology
- Solving nonlinear differential equations in MATLAB
For more resources, check out the product pages, webinars, and additional tutorials.
Technical Mentoring
Can't find what you are looking for? Have a specific question about using MATLAB tools for your iGEM work? We are here to help. Feel free to contact Asawari Samant via email at asamant AT mathworks.com to request assistance.
Good luck with your projects!
