Profile hidden Markov models

被引:4050
作者
Eddy, SR [1 ]
机构
[1] Washington Univ, Sch Med, Dept Genet, St Louis, MO 63110 USA
关键词
D O I
10.1093/bioinformatics/14.9.755
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The recent literature on profile hidden Markov model (profile HMM) methods and software is reviewed. Profile HMMs turn a multiple sequence alignment into a position-specific scoring system suitable for searching databases for remotely homologous sequences. Profile HMM analyses complement standard pail-wise comparison methods for large-scale sequence analysis. Several software implementations and two large libraries of profile HMMs of common protein domains are available. HMM methods peformed comparably to threading methods in the CASP2 structure prediction exercise.
引用
收藏
页码:755 / 763
页数:9
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