Gibbs sampler for statistical multiple alignment

被引：0
|
作者：
Jensen, JL
Hein, J
机构：
[1] Univ Aarhus, Inst Math, Dept Theoret Stat, DK-8000 Aarhus C, Denmark
[2] Univ Oxford, Dept Stat, Oxford OX1 3SY, England
来源：
STATISTICA SINICA | 2005年 / 15卷 / 04期
关键词：
3-star tree; EM-algorithm; evolutionary model; hidden Markov model; Markov chain Monte carlo;
D O I：
暂无
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
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.
引用
收藏
页码：889 / 907
页数：19
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