Mutation Model

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(Difference between revisions)
(New page: =ParI Mutation Model= ==Hypothesis== #The mutation efficiency should remain a continuous curve along reproduction, or along time. Here we discrete the mutation rate to be linear function a...)
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=ParI Mutation Model=
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=Part I Mutation Model=
==Hypothesis==
==Hypothesis==
#The mutation efficiency should remain a continuous curve along reproduction, or along time. Here we discrete the mutation rate to be linear function according to the replication time (), which in fact create several discontiguous point.
#The mutation efficiency should remain a continuous curve along reproduction, or along time. Here we discrete the mutation rate to be linear function according to the replication time (), which in fact create several discontiguous point.
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#The whole yeast is large enough to obey the statistics rules
#The whole yeast is large enough to obey the statistics rules
==Model Construction==
==Model Construction==
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#Probability Model <br>For each DNA sequence status, we take down a probability matrix for the coding sequence, which gives out each base appearance possibility on every site. The structure on each site is 5*1 matrix,(P<sub>a</sub>,P<sub>t</sub>,P<sub>c</sub>,P<sub>g</sub>,P<sub>u</sub>), and ΣP=1. Therefore, the whole sequence status is recorded as 5*length matrix.E.g. For the Gal4 DNA, with a length of 2646, one status is a 5*2646 matrix.
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#Scanning Model<br>The hotbox appearance rate on a specific site i is calculated as below.

Revision as of 15:39, 29 October 2008

Part I Mutation Model

Hypothesis

  1. The mutation efficiency should remain a continuous curve along reproduction, or along time. Here we discrete the mutation rate to be linear function according to the replication time (), which in fact create several discontiguous point.
  2. DNA lesion repair rate appears high enough in replication than other cell activities, so that the DNA lesion repair rate can be conformed to background mutations except in replication process.
  3. The whole yeast is large enough to obey the statistics rules

Model Construction

  1. Probability Model
    For each DNA sequence status, we take down a probability matrix for the coding sequence, which gives out each base appearance possibility on every site. The structure on each site is 5*1 matrix,(Pa,Pt,Pc,Pg,Pu), and ΣP=1. Therefore, the whole sequence status is recorded as 5*length matrix.E.g. For the Gal4 DNA, with a length of 2646, one status is a 5*2646 matrix.
  2. Scanning Model
    The hotbox appearance rate on a specific site i is calculated as below.