Sponsors/MathWorks

From 2013.igem.org

(Difference between revisions)
Line 19: Line 19:
.left-menu ul {background-color:white; margin:0; padding:0;}
.left-menu ul {background-color:white; margin:0; padding:0;}
.right-menu ul li a {background-color:white;}
.right-menu ul li a {background-color:white;}
-
 
-
 
/*actual content styles*/
/*actual content styles*/
Line 29: Line 27:
font-family: Lucida Grande, Verdana, Arial, sans-serif;
font-family: Lucida Grande, Verdana, Arial, sans-serif;
font-size: 125% ;
font-size: 125% ;
-
margin-bottom: 50px;
+
margin-bottom: 10px;
}
}
Line 39: Line 37:
font-family: Lucida Grande, Verdana, Arial, sans-serif;
font-family: Lucida Grande, Verdana, Arial, sans-serif;
text-shadow: #dadada 1px 1px 1px;
text-shadow: #dadada 1px 1px 1px;
-
padding-bottom: 50px;
+
padding-bottom: 10px;
}
}
Line 100: Line 98:
<li> Team Calgary created an <a href = "http://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.  
<li> Team Calgary created an <a href = "http://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.  
-
 
<br><br>
<br><br>
<li> Team Carnegie Mellon derived an <a href =  "http://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.
<li> Team Carnegie Mellon derived an <a href =  "http://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.
-
 
<br><br>
<br><br>
-
<li> Team Slovenia performed <a href =  "http://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
+
<li> Team Slovenia performed <a href =  "http://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.
-
 
+
<br><br>
<br><br>

Revision as of 21:19, 27 March 2013


Accelerating the pace of engineering and science



Software Offer

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)


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 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.