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Estimating mutation parameters, population history and genealogy simultaneously from temporally spaced sequence data.

Abstract:

Molecular sequences obtained at different sampling times from populations of rapidly evolving pathogens and from ancient subfossil and fossil sources are increasingly available with modern sequencing technology. Here, we present a Bayesian statistical inference approach to the joint estimation of mutation rate and population size that incorporates the uncertainty in the genealogy of such temporally spaced sequences by using Markov chain Monte Carlo (MCMC) integration. The Kingman coalescent m...

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Publication status:
Published

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Authors


Drummond, AJ More by this author
Nicholls, GK More by this author
Rodrigo, AG More by this author
Solomon, W More by this author
Journal:
Genetics
Volume:
161
Issue:
3
Pages:
1307-1320
Publication date:
2002-07-05
EISSN:
1943-2631
ISSN:
0016-6731
URN:
uuid:f0978203-7226-430b-afff-5f7d446183ec
Source identifiers:
97476
Local pid:
pubs:97476

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