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Team:Grenoble/Projet/Modelling
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<div class="left"> | <div class="left"> | ||
| + | <div class="blocbackground" id="Modelling"> | ||
<h1>Modelling</h1> | <h1>Modelling</h1> | ||
| + | <p> | ||
| + | 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. | ||
| + | </p> | ||
| + | </div> | ||
<div class="blocbackground" id="Content"> | <div class="blocbackground" id="Content"> | ||
| - | + | <h2>Table of content</h2> | |
| - | + | <p> | |
| - | + | 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> | <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> | ||
| - | <big><big><a href="https://2011.igem.org/Team:Grenoble/Projet/Modelling/Deterministic" class="menu"> | + | <big><big><a href="https://2011.igem.org/Team:Grenoble/Projet/Modelling/Deterministic" class="menu">Construction of the model :</a></big></big><br/> |
| - | <a class="menu" href="https://2011.igem.org/Team:Grenoble/Projet/Modelling/Deterministic#Our_EquationsTS"> | + | <a class="menu" href="https://2011.igem.org/Team:Grenoble/Projet/Modelling/Deterministic#Our_EquationsTS">Establishment of the equation</a><a class="menu" href="https://2011.igem.org/Team:Grenoble/Projet/Modelling/Deterministic#Our_EquationsTS"> Toggle switch</a><a class="menu" href="https://2011.igem.org/Team:Grenoble/Projet/Modelling/Deterministic#Our_EquationsQS">Quorum sensing</a><br/> |
| - | <a class="menu" href="https://2011.igem.org/Team:Grenoble/Projet/Modelling/Deterministic#Our_algorithms">Our algorithms</a><br/ | + | <a class="menu" href="https://2011.igem.org/Team:Grenoble/Projet/Modelling/Deterministic#Our_algorithms">Our algorithms</a><br/><br/><br/> |
| - | + | ||
<a href="https://2011.igem.org/Team:Grenoble/Projet/Modelling/Stochastic"><img class="icon" src="https://static.igem.org/mediawiki/2011/6/67/Icon_stochastic.png"/></a> | <a href="https://2011.igem.org/Team:Grenoble/Projet/Modelling/Stochastic"><img class="icon" src="https://static.igem.org/mediawiki/2011/6/67/Icon_stochastic.png"/></a> | ||
| Line 33: | Line 37: | ||
<big><big><a class="menu" href="https://2011.igem.org/Team:Grenoble/Projet/Modelling/Stochastic">Stochastic Modelling :</a></big></big><br/> | <big><big><a class="menu" href="https://2011.igem.org/Team:Grenoble/Projet/Modelling/Stochastic">Stochastic Modelling :</a></big></big><br/> | ||
| - | <a class="menu" href="https://2011.igem.org/Team:Grenoble/Projet/Modelling/Stochastic#Geof"> | + | <a class="menu" href="https://2011.igem.org/Team:Grenoble/Projet/Modelling/Stochastic#Geof">Sensitivity to noise</a><br/> |
<a class="menu" href="https://2011.igem.org/Team:Grenoble/Projet/Modelling/Stochastic#Gillespie_algorithm">Gillespie algorithm</a><br/> | <a class="menu" href="https://2011.igem.org/Team:Grenoble/Projet/Modelling/Stochastic#Gillespie_algorithm">Gillespie algorithm</a><br/> | ||
<a class="menu" href="https://2011.igem.org/Team:Grenoble/Projet/Modelling/Stochastic#Stats">Mean, standard deviation and statistical properties</a><br/><br/> | <a class="menu" href="https://2011.igem.org/Team:Grenoble/Projet/Modelling/Stochastic#Stats">Mean, standard deviation and statistical properties</a><br/><br/> | ||
Revision as of 18:30, 23 October 2011
Modelling
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.
Table of content
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
Construction of the model :
Establishment of the equation Toggle switchQuorum sensing
Our algorithms
Stochastic Modelling :
Sensitivity to noise
Gillespie algorithm
Mean, standard deviation and statistical properties
Parameters
Results :
Validation of our genetical network
Device
