Difference between revisions of "Team:Aix-Marseille/Model"

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We made a program to simulate the model corresponding to these equations, using a bayesian algorithm.
 
We made a program to simulate the model corresponding to these equations, using a bayesian algorithm.
  
For speed of execution, is programmed in C, using the GNU scientific library.  
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It is programmed in C to maximize performance, using the GNU scientific library.  
  
 
Plots were made using R with ggplot2.
 
Plots were made using R with ggplot2.
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[[File:T--Aix-Marseille--model-plot-d20-70.png|300px|350px|left|thumb]]
 
[[File:T--Aix-Marseille--model-plot-d20-70.png|300px|350px|left|thumb]]
  
We can see that with D growing, corresponding to more bacterias growing, more bacterias tend to lose their plasmids.
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We can see that with D increasing, corresponding to more bacteria growing, more bacteria tend to lose their plasmids and to have various numbers of plasmid.
  
Plasmids do not have enough time to be replicated
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These results can be interpreted by the fact that if D is increasing, thus $µ$ also increases, then bacteria grow faster, and divide faster.
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With small values of D, bacteria grow slowly and all plasmids have time to be replicated between each cell division.
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That is why for these values, most bacteria still have maximum values of plasmids and are all in the same situation hence the focusing of the plot for small values of D.
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If D is higher time for each bacteria to replicate their plasmids between each division is reduced, and the situation of each individual bacteria becomes different, explaining the scattering on the plot.
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This show that one of the main factor influencing the loss of plasmid is the growth of bacteria. Of course other factor have shown impact as replication rate of plasmids and the relative toxicity of each toxin.
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<div style="clear:both"></div>
  
 
==Bibliography==
 
==Bibliography==

Latest revision as of 01:19, 20 October 2016