Team:Calgary/Modelling/MC/Results

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Figure: CAPTION HERE
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Distribution of AI-2 Molecules between newborn cells from parent cells. On X-axis, time steps are aligned, and on Y-axis number of AI-2 molecules are placed. This graph shows that the simulation is ran for 3000 time steps and started with one cell (blue line) and other cells are generated over time by divisions (red, green, and yellow lines). This graph demonstrates that number of AI-2 molecules changes logarithmically between divisions, and suddenly drops at each division.
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Revision as of 22:00, 21 October 2009

University of Calgary

UNIVERSITY OF CALGARY



MODELLING INDEX
Overview

Membrane Computing Modelling
Differential Equation Modelling

A TOUR OF THE UNIVERSITY OF CALGARY iGEM TEAM


We've reached modelling, the fifth stop on our tour! We've looked in to two different methods of modelling our system: Differential Equation Based Modelling and Membrane Computing. Here, you can explore the similarities and differences, as well as the functions of each method. As well, you can find the results of our characterization of the signalling pathway. Once you're done, we'll move on to the Second Life component of the project HERE.


MEMBRANE COMPUTING MODELLING RESULTS
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Figure: CAPTION HERE



Distribution of AI-2 Molecules between newborn cells from parent cells. On X-axis, time steps are aligned, and on Y-axis number of AI-2 molecules are placed. This graph shows that the simulation is ran for 3000 time steps and started with one cell (blue line) and other cells are generated over time by divisions (red, green, and yellow lines). This graph demonstrates that number of AI-2 molecules changes logarithmically between divisions, and suddenly drops at each division.


Figure: CAPTION HERE


Figure: CAPTION HERE


Figure: CAPTION HERE


Figure: CAPTION HERE

The Effect of Variation of AI-2 on the Production of GFP
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