IGEM:IMPERIAL/2006/project/Oscillator/Theoretical Analyses/Approach: Difference between revisions

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<font size="4"> Principle 1: Study of Ever More Complex Models</font size>
<font size="4"> Principle 1: Study of Ever More Complex Models</font size>


*We took an incremental approach to the study of the 3D model. Under a reasonable set of assumptions the 3D model can be turned into a 2D system. We used this property fully as we built up our analysis  towards that of the full 3D model:  
*We took an incremental approach to the study of the 3D model.  
*Under a reasonable set of assumptions the 3D model can be turned into a 2D system.  
*We used this property fully as we built up our analysis  towards that of the full 3D model:  
** First we studied 2D models
** First we studied 2D models
*** We started with Lotka-Volterra  
*** We started with Lotka-Volterra  
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**By modifying the various terms of the model we got a better understanding on how they interact with each other.  
**By modifying the various terms of the model we got a better understanding on how they interact with each other.  
**It allowed us to learn from the previous calculations and thus to push them further in an effective manner.
**It allowed us to learn from the previous calculations and thus to push them further in an effective manner.


<font size="4"> Principle 2: Normalisation Effort for a System Analysis </font size>
<font size="4"> Principle 2: Normalisation Effort for a System Analysis </font size>

Revision as of 02:20, 30 October 2006

Analysis of the Model of the Molecular Predation Oscillator


Overview of Our Approach

Principle 1: Study of Ever More Complex Models

  • We took an incremental approach to the study of the 3D model.
  • Under a reasonable set of assumptions the 3D model can be turned into a 2D system.
  • We used this property fully as we built up our analysis towards that of the full 3D model:
    • First we studied 2D models
      • We started with Lotka-Volterra
      • We increased the complexity of the model each time until we obtained the 2D model which equivalent to the 3D model (under the set of assumptions)
      • See Result section for list of models
    • If time permitting: the whole 3D Model
  • Breaking up the complexity of the 3D system in the way we did it had several notable advantages.
    • It allowed us to learn the basics of Dynamical Systems Analysis and practice them on simple models.
    • By modifying the various terms of the model we got a better understanding on how they interact with each other.
    • It allowed us to learn from the previous calculations and thus to push them further in an effective manner.


Principle 2: Normalisation Effort for a System Analysis

In order to make our results easy to read and comprehend, we normalised the various steps of our analyses and the presentation of our results.

  • First page of the analysis: most important results
See the following template for the way we normalised
  • Following Pages: Display of important simulations (and comments)
see the following tutorial for a possible way to present simulation results
  • More detailed analyses are made available for downloading
Detailed analysis = proofs of results, full sets of simulations...
pdf and Doc suggested formats for attachments