Team:Paris/Modeling/Roadmap

From 2008.igem.org

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===August===
===August===
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*[[Team:Paris/August 6|08/07]] - First model of the FIFO temporal order, of the backward control inducing the oscillations ⇒ '''DONE'''
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*[[Team:Paris/August 6|06/07]] - First model of the FIFO temporal order, of the backward control inducing the oscillations ⇒ '''DONE'''
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*[[Team:Paris/August 6|08/07]] - Model the synchronization between cells, using Biocham  
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*[[Team:Paris/August 8|08/07]] - Model the synchronization between cells, using Biocham  
*[[Team:Paris/August 15|08/15]] - Summary about the ODE method, Space introduction into models (AC, Delaunay)
*[[Team:Paris/August 15|08/15]] - Summary about the ODE method, Space introduction into models (AC, Delaunay)
*[[Team:Paris/August 22|08/22]] - Feedback: list missing things (parameters), Optimization, Robustness analysis
*[[Team:Paris/August 22|08/22]] - Feedback: list missing things (parameters), Optimization, Robustness analysis

Revision as of 13:29, 6 August 2008

Contents

Calendar

July

  • 07/31 - Have a full bibliography ⇒ DONE

August

  • 06/07 - First model of the FIFO temporal order, of the backward control inducing the oscillations ⇒ DONE
  • 08/07 - Model the synchronization between cells, using Biocham
  • 08/15 - Summary about the ODE method, Space introduction into models (AC, Delaunay)
  • 08/22 - Feedback: list missing things (parameters), Optimization, Robustness analysis

September

  • 09/22- Checkpoint meeting

October

  • 10/15 - Scheduled wiki ending (2 weeks before the real ending to finish details)
  • 10/31 - Official wiki ending (date to be checked)

Todo

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.
  • 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.