Difference between revisions of "Sponsors/Special Offers/Mathworks"

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<center><h1>Partner Special Offers for iGEM Teams</h1></center>
 
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<h2>Complimentary software and technical support from MathWorks!</h2>
 
<h2>Complimentary software and technical support from MathWorks!</h2>
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<p>MathWorks is pleased to sponsor the 2017 iGEM competition. As an iGEM partner, MathWorks will provide complimentary software and technical support to all iGEM teams for use in the competition.​ ​
 
<p>MathWorks is pleased to sponsor the 2017 iGEM competition. As an iGEM partner, MathWorks will provide complimentary software and technical support to all iGEM teams for use in the competition.​ ​
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<h3><a href="https://www.mathworks.com/academia/student-competitions/igem.html">LEARN MORE!</a> </h3>
 
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<h3>Request Your Free Kit</h3><br>
 
<h3>Request Your Free Kit</h3><br>
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<h2> MATLAB and SimBiology in Past iGEMs </h2>
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<h3> MATLAB and SimBiology in Past iGEMs </h3>
  
 
See how former iGEMers used MathWorks tools, such as MATLAB and SimBiology, for a variety of modeling and simulation projects. A few examples from previous years!  
 
See how former iGEMers used MathWorks tools, such as MATLAB and SimBiology, for a variety of modeling and simulation projects. A few examples from previous years!  

Revision as of 16:02, 15 December 2016

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Partner Special Offers for iGEM Teams


          MATLAB and SimBiology in Past iGEMs

          See how former iGEMers used MathWorks tools, such as MATLAB and SimBiology, for a variety of modeling and simulation projects. A few examples from previous years!
            • Team TU Delft modeled 3D printing of their bacterial biofilm using MATLAB in order to determine the factors that have a strong influence on the biofilm strength.
            • Team Oxford built stochastic and deterministic models of genetic circuits in order to tackle environmental pollution by developing a device for the detection and degradation of the hazardous yet indispensable solvent dichloromethane (DCM).
            • Team KU Leuven modelled the pathway leading to Methyl Salicylate (MeS) production and performed sensitivity analysis, in order to predict MeS production and find the rate limiting steps.
            • 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.