Team:LCG-UNAM-Mexico:Population

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(New page: {{Template:LCG_top_Netscape}}<!--Do not remove the first and last lines in this page!--> {| |-valign="top" border="0" |width="900px" style="padding: 0 20px 0 0;"| <br> =='''INTRODUCTION ...)
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For this reason we decided to simulate, at population level, phage infection and the effectiveness of our genetic circuit.  
For this reason we decided to simulate, at population level, phage infection and the effectiveness of our genetic circuit.  
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For this purpose, we use different approaches:
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For this purpose, we use three different approaches:
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* [[https://2009.igem.org/Team:LCG-UNAM-Mexico/odes Modelling population dynamics with a system of differential equations. ]]
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* [https://2009.igem.org/Team:LCG-UNAM-Mexico:odes Modelling population dynamics with a system of differential equations. ]
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* [[https://2009.igem.org/Team:LCG-UNAM-Mexico:ABmodel Spatial agent-based model.]]
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* [https://2009.igem.org/Team:LCG-UNAM-Mexico:ABmodel Spatial agent-based model.]
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* [[https://2009.igem.org/Team:LCG-UNAM-Mexico:CA Modeling bacteria behaviour and Bacteriophage infection using Cellular Automata.]]
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* [https://2009.igem.org/Team:LCG-UNAM-Mexico:CA Modeling bacteria behaviour and Bacteriophage infection using Cellular Automata.]

Revision as of 23:31, 19 October 2009


INTRODUCTION TO POPULATION MODEL


Bacteria-phage interaction essentially is a fight between two POPULATIONS for survival. Although we modified E. coli at molecular level in order to defend itself against certain phages, our ultimate goal is that E. coli can contend against infection at population level. For this reason we decided to simulate, at population level, phage infection and the effectiveness of our genetic circuit.

For this purpose, we use three different approaches:


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