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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 complete viral genomes, which are becoming increasingly common due to advances in genome sequencing technology. Here we investigate the statistical performance of computationally efficient tests that are based on sequence summ...

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Publication status:
Published

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Institution:
University of Oxford
Department:
Oxford, MPLS, Zoology
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Zoology
Journal:
Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
Volume:
10
Issue:
3
Pages:
421-430
Publication date:
2010-04-05
DOI:
EISSN:
1567-7257
ISSN:
1567-1348
URN:
uuid:e88e13b3-b196-48de-8937-76f2617f1dcf
Source identifiers:
209653
Local pid:
pubs:209653

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