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Sponsors/MathWorks
From 2013.igem.org
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| - | <li> <span style="color: | + | <li> <span style="color:#FA5882"> Team UCL </span> built <a href="https://2012.igem.org/Team:University_College_London/Modelling" style="Font-Weight:bold" > multiple models </a>to validate, predict and optimize various aspects of their project, Plastic Republic. |
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| - | <li> <span style="color: | + | <li> <span style="color:#FA5882"> Team Calgary </span> created an <a href = "https://2012.igem.org/Team:Calgary/Project/FRED/Modelling" style="Font-Weight:bold"> deterministic model </a> to predict the time course and response time their electrochemical sensor, FRED. |
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| - | <li> <span style="color: | + | <li> <span style="color:#FA5882"> Team Carnegie Mellon </span> derived an <a href = "https://2012.igem.org/Team:Carnegie_Mellon/Mod-Overview" style="Font-Weight:bold"> ODE model </a> and used it with experimental time-course data to estimate key parameters like transcriptional and translational efficiency. |
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| - | <li> <span style="color: | + | <li> <span style="color:#FA5882"> Team Slovenia </span>performed <a href = "https://2012.igem.org/Team:Slovenia/ModelingPositiveFeedbackLoopSwitch" style="Font-Weight:bold"> parameter scans </a> to better characterize the effects of the parameters space on the behavior their bistable system, Switch IT. |
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Revision as of 21:38, 27 March 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.
The complementary software kit includes the following tools:
- MATLAB
- Simulink
- Statistics Toolbox
- SimBiology
- Bioinformatics Toolbox
- Optimization Toolbox
- Global Optimization Toolbox
- Curve Fitting Toolbox
- Symbolic Math Toolbox
Please complete the Software Request Form ( must be completed by faculty advisor) to request the complementary software kit.
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 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.
