Team:UCL/Modeling

From 2013.igem.org

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<p class="abstract_title">Model Overview</p>
<p class="abstract_title">Model Overview</p>
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Mathematical modelling provides a powerful tool for scientists of all disciplines, allowing inspection and manipulation of a system in ways which are unachievable in the lab. In the context of biology, we can use mathematical models to study the behaviour of a single cell or an entire ecosystem. In fact, inspecting a mathematical model is very much like a laboratory experiment – the main difference being that in modelling, the environment is artificial.  
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<a href="https://2013.igem.org/Team:UCL/Modeling/One">
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<a href="https://2013.igem.org/Team:UCL/Modeling/Two">
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<p class="abstract_title">Level 1 Specifics</p>
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<p class="abstract_title">Simulation Results</p>
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For all the complex calculations and mechanisms behind a model, it is without much worth if it cannot produce useful results. In general, 'useful results' are defined as successful predictions about the effects of modifying some parameter - if we can use a model to determine the effect of each variable upon the outcome, we can better design our system in the real world.  
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<a href="https://2013.igem.org/Team:UCL/Modeling/Westminster">
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<p class="abstract_title">Level 2 Specifics</p>
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<p class="abstract_title">Westminster collaboration</p>
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Since Westminster's iGEM team had not produced a model of their own, and their project has several similarities to ours, we have constructed an additional model, also in C#, and sent this to Westminster's team for them to use. The model simulates bed bugs moving randomly in a cubic room. One of their proposed "blood traps" is integrated into the simulation, which visually demonstrates bed bugs being attracted and then subsequently killed by the device.  
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Revision as of 03:52, 5 October 2013

DRY LAB

Modelling The Treatment And Finding New Parts

Awaiting Input.

Click the abstracts below to read more.