Difference between revisions of "Sponsors/MathWorks"

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<hx1 style="font-size:120%; color:#000000"> MATLAB in Past iGEMs </hx1>
 
<hx1 style="font-size:120%; color:#000000"> MATLAB in Past iGEMs </hx1>
  
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<p style="padding-right:20px"> 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!  
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<p style="padding-right:20px"> 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!  
 
   
 
   
 
<ul style="padding-right:20px; padding-left:20px">
 
<ul style="padding-right:20px; padding-left:20px">
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<li> <span style="color:#0080FF "> Team Oxford </span> built
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<a href="https://2014.igem.org/Team:Oxford/Modelling" style="Font-Weight:" > stochastic and deterministic models</a>
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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).
  
 
<li> <span style="color:#0080FF "> Team KU Leuven </span>  
 
<li> <span style="color:#0080FF "> Team KU Leuven </span>  
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<a href="https://2013.igem.org/Team:KU_Leuven/Project/modeling" style="Font-Weight:" > modelled</a>
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<a href="https://2013.igem.org/Team:KU_Leuven/Project/modelling" style="Font-Weight:" > modelled</a>
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the pathway leading to MeS production, in order to get a good estimation of the average MeS production and find the rate limiting steps.  
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the pathway leading to Methyl Salicylate (MeS) production and performed sensitivity analysis, in order to predict MeS production and find the rate limiting steps.  
  
 
<li> <span style="color:#0080FF "> Team UCL </span> built  
 
<li> <span style="color:#0080FF "> Team UCL </span> built  
 
<a href="https://2012.igem.org/Team:University_College_London/Modelling" style="Font-Weight:" > multiple models</a>
 
<a href="https://2012.igem.org/Team:University_College_London/Modelling" style="Font-Weight:" > multiple models</a>
 
to validate, predict and optimize various aspects of their project, Plastic Republic.  
 
to validate, predict and optimize various aspects of their project, Plastic Republic.  
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<li> <span style="color:#0080FF"> Team Calgary </span> created an <a href = "https://2012.igem.org/Team:Calgary/Project/FRED/Modelling" style="Font-Weight:"> deterministic model</a> to predict the time course and response time of their electrochemical sensor, FRED.
 
  
 
<li> <span style="color:#0080FF"> Team Carnegie Mellon </span> derived an <a href =  "https://2012.igem.org/Team:Carnegie_Mellon/Mod-Overview" style="Font-Weight:"> ODE model</a> and used it with experimental time-course data to estimate key parameters like transcriptional and translational efficiency.
 
<li> <span style="color:#0080FF"> Team Carnegie Mellon </span> derived an <a href =  "https://2012.igem.org/Team:Carnegie_Mellon/Mod-Overview" style="Font-Weight:"> ODE model</a> and used it with experimental time-course data to estimate key parameters like transcriptional and translational efficiency.

Revision as of 16:05, 8 April 2015

Accelerating the pace of engineering and science



MathWorks is pleased to sponsor the 2015 iGEM competition. As an iGEM partner, MathWorks will provide complimentary software for use in the competition.​ ​Learn more about our sponsorship and request complimentary software for use in the competition here or visit us at http://www.mathworks.com/academia/student-competitions/igem/

The complementary software kit includes the following 9 products:

  • MATLAB
  • Simulink
  • SimBiology
  • Optimization Toolbox
  • Statistics Toolbox
  • Bioinformatics Toolbox
  • Global Optimization Toolbox
  • Curve Fitting Toolbox
  • Symbolic Math Toolbox

** See details of Offer of Complementary Software License(s)


MATLAB 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 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 UCL built multiple models to validate, predict and optimize various aspects of their project, Plastic Republic.
  • 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.

Getting Started!

Interested in using MATLAB for your in silico projects? We have put together a few video tutorials to help you get started.

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 Fulden Buyukozturk via email at fulden.buyukozturk AT mathworks.com to request assistance.


Good luck with your projects!