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Team:UIUC Illinois/Software/Evolvalvability
From 2014.igem.org
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<p><b>2. Rate of experiencing error of single base:</b></p> | <p><b>2. Rate of experiencing error of single base:</b></p> | ||
<p> Find the transition & transversion matrix parameter for K12 strain. </p> | <p> Find the transition & transversion matrix parameter for K12 strain. </p> | ||
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Revision as of 04:47, 17 October 2014
Do you fear that your plasmid will be lost by mutation?
Here is our EvoAnalyzer software that will predict mutational tolerance of plasmid
in K12 E.Coli strain!!
Description:
The basis is how evolution depends on both mutational rate on a single organism and the selection of organisms within a group in terms of who receives certain mutations. There are many steps that must be accounted in order to proximate more accurately. This is why we must be modular in our approach. As a preliminary step, and due to the specificity of the data we will be using, we specifically choose a common strain of E. coli which is K12.
Overall Plan:
The first thing that must be done is to account for the probability of mutational change on one organism.
1. Single base pair mutation:
Find polymerase error rate for our organisms. (1/6000 per generation) Using the length of nucelotide sequence, we can find the probability of a nucleotide experiencing an error.
Pr(Mutation at Nucleotide at location N) = f(error rate and size)
2. Rate of experiencing error of single base:
Find the transition & transversion matrix parameter for K12 strain.
illinoisigem@gmail.com 
