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Using temporally spaced sequences to simultaneously estimate migration rates, mutation rate and population sizes in measurably evolving populations.

Abstract:

We present a Bayesian statistical inference approach for simultaneously estimating mutation rate, population sizes, and migration rates in an island-structured population, using temporal and spatial sequence data. Markov chain Monte Carlo is used to collect samples from the posterior probability distribution. We demonstrate that this chain implementation successfully reaches equilibrium and recovers truth for simulated data. A real HIV DNA sequence data set with two demes, semen and blood, is...

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Publisher copy:
10.1534/genetics.104.030411

Authors


Nicholls, G More by this author
Rodrigo, A More by this author
Journal:
Genetics
Volume:
168
Issue:
4
Pages:
2407-2420
Publication date:
2004-12-05
DOI:
EISSN:
1943-2631
ISSN:
0016-6731
URN:
uuid:d1b37be7-bb45-461a-9727-050eed2ec467
Source identifiers:
103176
Local pid:
pubs:103176
Language:
English
Keywords:

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