User:Hussein Alasadi/Notebook/stephens/2013/10/16: Difference between revisions

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(2) <math> f_i </math> (frequency of the ith SNP) ~ <math> B(n, f_i^{true}) </math>
(2) <math> f_i </math> (frequency of the ith SNP) ~ <math> B(n, f_i^{true}) </math>




Revision as of 08:57, 17 October 2013

Analyzing pooled sequenced data with selection <html><img src="/images/9/94/Report.png" border="0" /></html> Main project page
<html><img src="/images/c/c3/Resultset_previous.png" border="0" /></html>Previous entry<html>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</html>

Simulating evolution and then pooled sequencing

  • We start with a population of N individuals with a certain SNP distribution [math]\displaystyle{ P(M) }[/math] ~ [math]\displaystyle{ N(\mu, \Sigma) }[/math].

To do this we can use Dick Hudson's MS to lay down neutral variants (but the distribution really does not matter).

  • We then evolve the populations for g generations with recombination

To do this we can use Kessner's Forqs. Forqs allows the user to specify the recombination rate file which might be useful in the future.

  • Simulate pooled sequencing

(1) draw a coverage (n) from [math]\displaystyle{ Pois(\lambda) }[/math] where [math]\displaystyle{ \lambda \approx 40-50 }[/math]

(2) [math]\displaystyle{ f_i }[/math] (frequency of the ith SNP) ~ [math]\displaystyle{ B(n, f_i^{true}) }[/math]




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