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Investigating selection on viruses: a statistical alignment approach.

Abstract:

BACKGROUND: Two problems complicate the study of selection in viral genomes: Firstly, the presence of genes in overlapping reading frames implies that selection in one reading frame can bias our estimates of neutral mutation rates in another reading frame. Secondly, the high mutation rates we are likely to encounter complicate the inference of a reliable alignment of genomes. To address these issues, we develop a model that explicitly models selection in overlapping reading frames. We then in...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1186/1471-2105-9-304

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Institution:
University of Oxford
Role:
Author
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Institution:
University of Oxford
Role:
Author
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Name:
Biotechnology and Biological Sciences Research Council
Publisher:
BioMed Central
Journal:
BMC bioinformatics More from this journal
Volume:
9
Issue:
1
Pages:
304
Publication date:
2008-01-01
DOI:
EISSN:
1471-2105
ISSN:
1471-2105
Language:
English
Keywords:
UUID:
uuid:1f694301-53d3-4bc3-b865-d8cf2d058d5e
Local pid:
pubs:68411
Source identifiers:
68411
Deposit date:
2012-12-19

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