Revision as of 17:02, 20 September 2011

Grenoble 2011, Mercuro-Coli iGEM

Modelling

Table of content

In the particular case of our circuit and final use of the bacteria, the modelling team had to check the effectiveness of our circuit of course, but also had to give the specificities (size, number of bacteria, IPTG gradient specificities) of the measuring device we intend to produce.

In the next pages we first expose technically which algorithms we used for both deterministic modelling and stochastic modelling and explain our MATLAB scripts (available here) in the hope it could help future modelling teams.
We exposed the results in the last section, for anyone who is interested in the results only

Deterministic Modelling :
Our equations and how we obtained them : Toggle switch Quorum sensing
Our algorithms
Isoclines and Hysteresis

Stochastic Modelling :
Geoffrey
Gillespie algorithm
Mean, standard deviation and statistical properties

Parameters

Results :
Validation of our genetical network
Device

@@ Line 14: / Line 14: @@
 		   <h2>Table of content</h2>
 		    <p>
-			  Our synthetic biology constructions feature tens of parameters and at this scale human brains can only guess how the whole system would work. We of course needed mathematical modelling in order to check the effectiveness of the genetic circuit.<br/><br/>
-			  In the particular case of our circuit and final use of the bacteria, the modelling team also had to give the specificities (size, number of bacteria, IPTG gradient specificities) of the measuring device we intend to produce.<br/><br/>
-			  In the next pages we expose which algorithms we used for both deterministic modelling and stochastic modelling, explain our MATLAB scripts (available <a href="http://igemgrenoble-files.perso.sfr.fr/2011/MATLAB_Archives/">here</a>) and finally give the results of our simulations.<br/><br/>
+			  In the particular case of our circuit and final use of the bacteria, the modelling team had to check the effectiveness of our circuit of course, but also had to give the specificities (size, number of bacteria, IPTG gradient specificities) of the measuring device we intend to produce.<br/><br/>
+			  In the next pages we first expose technically which algorithms we used for both deterministic modelling and stochastic modelling and explain our MATLAB scripts (available <a href="http://igemgrenoble-files.perso.sfr.fr/2011/MATLAB_Archives/">here</a>) in the
+			  hope it could help future modelling teams. <br/>We exposed the results in the last section, for anyone who is interested in the results only<br/><br/>
 			  <a href="https://2011.igem.org/Team:Grenoble/Projet/Modelling/Deterministic" ><img class="icon" src="https://static.igem.org/mediawiki/2011/b/b4/Icon_deterministic.png"/></a>