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Team:Paris/Modeling/Roadmap
From 2008.igem.org
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==Calendar== | ==Calendar== | ||
| + | ===July=== | ||
| + | *[[Team:Paris/July 7|07/31]] - Have a full bibliography | ||
===August=== | ===August=== | ||
| + | *[[Team:Paris/August 7|08/07]] - First model of the FIFO temporal order, of the backward control inducing the oscillations and of the synchronization between cells, using Biocham (or eventually Dizzy) | ||
*[[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 19:33, 22 July 2008
Contents |
Calendar
July
- 07/31 - Have a full bibliography
August
- 08/07 - First model of the FIFO temporal order, of the backward control inducing the oscillations and of the synchronization between cells, using Biocham (or eventually Dizzy)
- 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.
