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Relation between weight matrix and substitution matrix: motif search by similarity
Author(s) -
WeiMou Zheng
Publication year - 2004
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bti090
Subject(s) - mathematics , matrix (chemical analysis) , maximization , similarity (geometry) , sequence (biology) , algorithm , greedy algorithm , substitution (logic) , combinatorics , computer science , mathematical optimization , artificial intelligence , genetics , materials science , programming language , composite material , image (mathematics) , biology
The discovery of patterns shared by several sequences that differ greatly is a basic task in sequence analysis, and still a challenge. Several methods have been developed for detecting patterns. Methods commonly used for motif search include the Gibbs sampler, Expectation-Maximization (EM) algorithm and some intuitive greedy approaches. One cannot guarantee the optimality of the result produced by the Gibbs sampler in a single run. The deterministic EM methods tend to get trapped by local optima. Solutions found by greedy approaches are rarely sufficiently good.

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