Team:BCCS-Bristol/Modeling

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Revision as of 20:40, 12 August 2008

Home	The Team	The Project	Submitted Parts	Modelling	Wet Lab	Calendar	Miscellaneous

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.

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.

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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-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.
+*[[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.