SnIPRE: Selection Inference Using a Poisson Random Effects Model

Kirsten E. Eilertson; James G. Booth; Carlos D. Bustamante

doi:10.1371/journal.pcbi.1002806

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Open Access

Peer-reviewed

Research Article

SnIPRE: Selection Inference Using a Poisson Random Effects Model

Kirsten E. Eilertson ,

* E-mail: cdbustam@stanford.edu

Affiliation Bioinformatics Core, J David Gladstone Institutes, San Francisco, California, United States of America
⨯
James G. Booth,

Affiliation Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, United States of America
⨯
Carlos D. Bustamante

Affiliation Department of Genetics, Stanford University, Stanford, California, United States of America
⨯

SnIPRE: Selection Inference Using a Poisson Random Effects Model

Kirsten E. Eilertson,
James G. Booth,
Carlos D. Bustamante

Published: December 6, 2012
https://doi.org/10.1371/journal.pcbi.1002806

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A very valuable addition to population genomics tools

Posted by clementkent on 19 Dec 2012 at 23:41 GMT

This article and method deserves careful study by everyone working in population genomics. It represents a real advance.

One quibble: I am not clear what happens with genes where there are 0 cells in the M-K table. Are these genes not used or is there a substitute value such as .5 used?zeros?

No competing interests declared.

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SnIPRE: Selection Inference Using a Poisson Random Effects Model

SnIPRE: Selection Inference Using a Poisson Random Effects Model

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A very valuable addition to population genomics tools

Posted by clementkent on 19 Dec 2012 at 23:41 GMT