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Gibbs sampler for statistical multiple alignment

Abstract:
For a set of sequences, related by a binary tree, that have evolved according to the Thorne-Kishino-Felsenstein model, a Gibbs sampler is presented for simulating the ancestral sequences and their alignments. The updating step consists in updating the ancestral sequence and its three alignments within a 3-star tree. We compare the Gibbs sampler with the algorithm suggested recently by Holmes and Bruno.
Publication status:
Published

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Journal:
STATISTICA SINICA
Volume:
15
Issue:
4
Pages:
889-907
Publication date:
2005-10-05
ISSN:
1017-0405
URN:
uuid:26e81e59-4cd6-459d-9e4e-f9abe04d136b
Source identifiers:
102906
Local pid:
pubs:102906

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