Team:BCCS-Bristol/Modeling

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(Models)
(Models)
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*[[Team:BCCS-Bristol/Modeling-GRN|'''Gene Regulatory Networks (GRNs)''']] - To understand the dynamics of genetic networks that we design differental equations are used to model the changes in concentrations of mRNA and proteins.
*[[Team:BCCS-Bristol/Modeling-GRN|'''Gene Regulatory Networks (GRNs)''']] - To understand the dynamics of genetic networks that we design differental equations are used to model the changes in concentrations of mRNA and proteins.
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*[[Team:BCCS-Bristol/Modeling-Agent_Based|'''Stochastic Agent Based Simulation''']] - With the project requiring global behaviour to emerge via en masse movement of bacteria stochastic agent based simulations are used to investigate the viability and limits of possible methods.
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*[[Team:BCCS-Bristol/Modeling-Agent_Based|'''Stochastic Agent Based Simulation''']] - With the project requiring global behaviour to emerge via en masse movement of bacteria, stochastic agent based simulations are used to investigate the viability and limits of different approaches.
*[[Team:BCCS-Bristol/Modeling-Hybrid|'''Hybrid Model''']] - With the aim of improving simulation accuracy this model integrates the intercellular GRN dynamics with the extra-cellular interactions of the stochastic agent based simulation.
*[[Team:BCCS-Bristol/Modeling-Hybrid|'''Hybrid Model''']] - With the aim of improving simulation accuracy this model integrates the intercellular GRN dynamics with the extra-cellular interactions of the stochastic agent based simulation.

Revision as of 20:40, 12 August 2008

BCCS-Modelling-Header 01.jpg BCCS-Modelling-Header 02.jpg BCCS-Modelling-Header 03.jpg

Contents

Approach

Modelling Notebook

  • Progress Report - To track our progress see our weekly reports which let you know what we have been up to with comments on the reasons behind any important decisions.
  • Modelling Parameters - Full listings of all parameters investigated for the modelling part of the project, with values that have been chosen, reasons for their selection and references to the original sources.

Models

  • Gene Regulatory Networks (GRNs) - To understand the dynamics of genetic networks that we design differental equations are used to model the changes in concentrations of mRNA and proteins.
  • Stochastic Agent Based Simulation - With the project requiring global behaviour to emerge via en masse movement of bacteria, stochastic agent based simulations are used to investigate the viability and limits of different approaches.
  • Hybrid Model - With the aim of improving simulation accuracy this model integrates the intercellular GRN dynamics with the extra-cellular interactions of the stochastic agent based simulation.

Results

Modelling Photo Album