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Team:HZAU-China/Modeling
From 2014.igem.org
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<li class="dropdown"><a href="https://2014.igem.org/Team:HZAU-China/Achievements">Achievements</a> | <li class="dropdown"><a href="https://2014.igem.org/Team:HZAU-China/Achievements">Achievements</a> | ||
<ul> | <ul> | ||
| - | <li><a href="https://2014.igem.org/Team:HZAU-China/Achievements"><span>-</span> | + | <li><a href="https://2014.igem.org/Team:HZAU-China/Achievements"><span>-</span>Judgement</a></li> |
<li><a href="https://2014.igem.org/Team:HZAU-China/Parts"><span>-</span>Parts</a></li> | <li><a href="https://2014.igem.org/Team:HZAU-China/Parts"><span>-</span>Parts</a></li> | ||
</ul> | </ul> | ||
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<li><a href="https://2014.igem.org/Team:HZAU-China/Humanities"><span>-</span>Humanities and Aesthetics</a></li> | <li><a href="https://2014.igem.org/Team:HZAU-China/Humanities"><span>-</span>Humanities and Aesthetics</a></li> | ||
<li><a href="https://2014.igem.org/Team:HZAU-China/Economics"><span>-</span>Economics and Law</a></li> | <li><a href="https://2014.igem.org/Team:HZAU-China/Economics"><span>-</span>Economics and Law</a></li> | ||
| - | <li><a href="https://2014.igem.org/Team:HZAU-China/Pubic outreach"><span>-</span> | + | <li><a href="https://2014.igem.org/Team:HZAU-China/Pubic outreach"><span>-</span>Public outreach</a></li> |
<li><a href="https://2014.igem.org/Team:HZAU-China/Safety"><span>-</span>Safety</a></li> | <li><a href="https://2014.igem.org/Team:HZAU-China/Safety"><span>-</span>Safety</a></li> | ||
<li><a href="https://2014.igem.org/Team:HZAU-China/Social media"><span>-</span>Social media</a></li> | <li><a href="https://2014.igem.org/Team:HZAU-China/Social media"><span>-</span>Social media</a></li> | ||
Revision as of 11:15, 16 October 2014
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Overview
Our project aims to engineer cells that can process information to adapt to the environment as we expected, so we need to yield quantitative predictions of gene behaviors. Mathematic model becomes a powerful tool here. It not only helps us analyze the phenomena, but also contributes to the design of genetic circuits. Our models can be divided into several parts. Firstly, we will introduce the biological processes in our design and translate them into mathematic language. Then we will make some comparisons to explain why we designed circuits this way. Next, we will present the simulation of deterministic model and stochastic model. Parameter sensitivity analysis will also be made here. Finally, we will talk about the design principle of the rewirable circuit using ODE sets with matrices. We hope that any other researches can get insight from the mathematic model and make the rewirable circuit widely used.
