MINIMUM MESSAGE LENGTH ENCODING AND THE COMPARISON OF MACROMOLECULES

被引:18
作者
ALLISON, L
YEE, CN
机构
[1] Department of Computer Science, Monash University
基金
澳大利亚研究理事会;
关键词
D O I
10.1007/BF02458580
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
A method of inductive inference known as minimum message length encoding is applied to string comparison in molecular biology. The question of whether or not two strings are related and, if so, of how they are related and the problem of finding a good theory of string mutation are treated as inductive inference problems. The method allows the posterior odds-ratio of two string alignments or of two models of string mutation to be computed. The connection between models of mutation and existing string alignment algorithms is made explicit. A fast minimum message length alignment algorithm is also described. © 1990 Society for Mathematical Biology.
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页码:431 / 453
页数:23
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