Hidden Markov models

被引：931
作者：
Eddy, SR
机构：
[1] Department of Genetics, Washington Univ. School of Medicine, Box 8232, St. Louis, MO 63110
来源：
CURRENT OPINION IN STRUCTURAL BIOLOGY | 1996年 / 6卷 / 03期
关键词：
D O I：
10.1016/S0959-440X(96)80056-X
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
'Profiles' of protein structures and sequence alignments can detect subtle homologies. Profile analysis has been put on firmer mathematical ground by the introduction of hidden Markov model (HMM) methods. During the past year, applications of these powerful new HMM-based profiles have begun to appear in the fields of protein-structure prediction and large-scale genome-sequence analysis.
引用
收藏
页码：361 / 365
页数：5
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