Team:LCG-UNAM-Mexico:CA
From 2009.igem.org
(Difference between revisions)
Line 11: | Line 11: | ||
*[[Team:LCG-UNAM-Mexico:CA#Design | Design]] | *[[Team:LCG-UNAM-Mexico:CA#Design | Design]] | ||
*[[Team:LCG-UNAM-Mexico:CA#The Algorithm | The Algorithm]] | *[[Team:LCG-UNAM-Mexico:CA#The Algorithm | The Algorithm]] | ||
- | |||
- | |||
- | |||
*[[Team:LCG-UNAM-Mexico:CA#Refereces | References]] | *[[Team:LCG-UNAM-Mexico:CA#Refereces | References]] | ||
Line 35: | Line 32: | ||
With this ouput we can see the evolution of the system (see video). | With this ouput we can see the evolution of the system (see video). | ||
<br><br> | <br><br> | ||
- | The main goal of the Cellular Automata was to assemble the information contained in the Molecular Distributions (particularly the [[Team:LCG-UNAM-Mexico:BSD | BSD]] with a population simulation in order to observe the behaviour of the system under different conditions. The | + | The main goal of the Cellular Automata was to assemble the information contained in the Molecular Distributions (particularly the [[Team:LCG-UNAM-Mexico:BSD | BSD]] with a population simulation in order to observe the behaviour of the whole system under different conditions. The [[Team:LCG-UNAM-Mexico:Laura | experimental work with T7]] and the CA show the same overall behaviour.<br><br> By changing the initial conditions and parameters on our CA it's possible to simulate a wide range of bacteriophage infection processes. The CA was designed to work along with the molecular simulations in a single Matlab script, but it's alwats possible to use the CA as a stand alone application to simulate infection dynamics. |
<br><br> | <br><br> | ||
Line 53: | Line 50: | ||
===Infection With Our system=== | ===Infection With Our system=== | ||
<br><br> | <br><br> | ||
- | + | [[Team:LCG-UNAM-Mexico:Molecular model | Molecuar Simulations using the kamikaze system]] showed that our construction works as expected. We made a sensitivity analysis | |
Revision as of 10:47, 21 October 2009