User:Hussein Alasadi/Notebook/stephens/2013/10/16: Difference between revisions
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(1) draw a coverage (n) from <math> Pois(\lambda) </math> where <math> \lambda \approx 40-50 </math> | (1) draw a coverage (n) from <math> Pois(\lambda) </math> where <math> \lambda \approx 40-50 </math> | ||
(2) <math> f_i </math> (frequency of the ith SNP) <math> | (2) <math> f_i </math> (frequency of the ith SNP) ~ <math> B(n, f_i^{true}) </math> | ||
Revision as of 08:52, 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> </html> |
Simulating evolution and then pooled sequencing
To do this we can use Dick Hudson's MS to lay down neutral variants (but the distribution really does not matter).
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.
(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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