Team:Tsinghua-A/Modeling/GILLESPIE/part3

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     <h2  style="margin-top:135px; font-size:38px;">A more accurate model using Gillespie algorithm</h2>
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     <h2  style="margin-top:135px; font-size:38px;">A better model by simulating every single trajectory:</h2>
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              <p>1000 genes which are in state ‘A’ are seen as a whole in the above model. To make the simulation more convincing, we then simulate the trajectory of every single molecule. After that we synthesize all trajectories to get the final result.</p>
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                <h2>Result</h2>
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                <p>The concentration of Cre-Loxp :</p>
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                <img src="https://static.igem.org/mediawiki/2012/4/44/THU-AMGP31.png"/>
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<p>Then we use green line to denote the number of genes which are in the original state and red line to denote the number of genes which are in the state after inversion.</br></br>
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1 trajectory:
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<img src="https://static.igem.org/mediawiki/2012/9/91/THU-AMGP32.png"/>
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</br>
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10 trajectories:</br>
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<img src="https://static.igem.org/mediawiki/2012/9/91/THU-AMGP32.png"/>
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100 trajectories: </br>
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<img src="https://static.igem.org/mediawiki/2012/c/cb/THU-AMGP33.png"/>
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1000 trajectories:</br>
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<img src="https://static.igem.org/mediawiki/2012/7/73/THU-AMGP34.png"/>
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</p>
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<a href="https://2012.igem.org/Team:Tsinghua-A/Modeling/GILLESPIE" style="margin-left:40px;font-size:20px;">Return</a>
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Revision as of 05:18, 26 September 2012

Tsinghua-A::Modeling

A better model by simulating every single trajectory:

1000 genes which are in state ‘A’ are seen as a whole in the above model. To make the simulation more convincing, we then simulate the trajectory of every single molecule. After that we synthesize all trajectories to get the final result.

Result

The concentration of Cre-Loxp :

Then we use green line to denote the number of genes which are in the original state and red line to denote the number of genes which are in the state after inversion.

1 trajectory:

10 trajectories:
100 trajectories:
1000 trajectories:

Return