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Inference from samples of DNA sequences using a two-locus model.

Abstract:

Performing inference on contemporary samples of DNA sequence data is an important and challenging task. Computationally intensive methods such as importance sampling (IS) are attractive because they make full use of the available data, but in the presence of recombination the large state space of genealogies can be prohibitive. In this article, we make progress by developing an efficient IS proposal distribution for a two-locus model of sequence data. We show that the proposal developed here ...

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Publication status:
Published

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Publisher copy:
10.1089/cmb.2009.0231

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
Journal:
Journal of computational biology : a journal of computational molecular cell biology More from this journal
Volume:
18
Issue:
1
Pages:
109-127
Publication date:
2011-01-01
DOI:
EISSN:
1557-8666
ISSN:
1066-5277
Language:
English
Keywords:
Pubs id:
pubs:112491
UUID:
uuid:09a641b9-3840-4858-b448-1404792ebeb7
Local pid:
pubs:112491
Source identifiers:
112491
Deposit date:
2012-12-19

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