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Detecting natural selection in RNA virus populations using sequence summary statistics

Abstract:

At present, most analyses that aim to detect the action of natural selection upon viral gene sequences use phylogenetic estimates of the ratio of silent to replacement mutations. Such methods, however, are impractical to compute on large data sets comprising hundreds of viral genomes, which are becoming increasingly common due to advances in genomes sequencing technology. Here we investigate the statistical performance of computationally efficient tests that are based on sequence summary stat...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Department:
Mathematical,Physical & Life Sciences Division - Zoology
Role:
Author
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Institution:
University of Oxford
Department:
Institute for Emergent Infections,The James Martin 21st Century School
Role:
Author
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Institution:
University of Oxford
Department:
Mathematical,Physical & Life Sciences Division - Zoology
Role:
Author
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Funding agency for:
Oliver G. Pybus
Publisher:
Elsevier Publisher's website
Journal:
Infection, Genetics and Evolution Journal website
Volume:
10
Issue:
3
Pages:
421-430
Publication date:
2010-04-05
DOI:
ISSN:
1567-1348
URN:
uuid:bcd73413-e3e5-4812-9c00-53339e2b4b3c
Local pid:
ora:3607

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