Team:Paris/Modeling

From 2008.igem.org

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{{Paris/Menu}}
{{Paris/Menu}}
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==Roadmap==
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|You can write a background of your team here.  Give us a background of your team, the members, etc.  Or tell us more about something of your choosing.
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|[[Image:Example_logo.png|200px|right|frame]]
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''Tell us more about your project.  Give us background.  Use this is the abstract of your project.  Be descriptive but concise (1-2 paragraphs)''
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|[[Image:Team.png|right|frame|Your team picture]]
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|align="center"|[[Team:Paris | Team Example 2]]
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<!--- The Mission, Experiments --->
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===Design a modular Matlab modelisation of our system===
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Using the following approach:
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* 3 modules corresponding to the FIFO Temporal Order function, the Oscillation's one and the Sync function.
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* Gather the 3 modules using a blackbox approach: each function is a box having its own inputs and outputs and does not interact with the others except if one box.
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* Divide each box in smaller parts that we can quickly try in the wet lab to figure out precisely some missing parameters.
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===Note===
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===Implement the same models in BIOCHAM===
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It will allow easier:
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* Exploration of the paramaters space
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* Evalution of the robustness
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* Changes (to a stochastic model for example)
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If you choose to include a '''Modeling''' page, please write about your modeling adventures here.  This is not necessary but it may be a nice list to include.
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===MGS===
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* Understand the syntax!
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* Develop a 3D model to simulate diffusion even if the medium will in fact be shook.

Revision as of 17:10, 21 July 2008

Contents

Roadmap

Design a modular Matlab modelisation of our system

Using the following approach:

  • 3 modules corresponding to the FIFO Temporal Order function, the Oscillation's one and the Sync function.
  • Gather the 3 modules using a blackbox approach: each function is a box having its own inputs and outputs and does not interact with the others except if one box.
  • Divide each box in smaller parts that we can quickly try in the wet lab to figure out precisely some missing parameters.

Implement the same models in BIOCHAM

It will allow easier:

  • Exploration of the paramaters space
  • Evalution of the robustness
  • Changes (to a stochastic model for example)

MGS

  • Understand the syntax!
  • Develop a 3D model to simulate diffusion even if the medium will in fact be shook.
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