A Survey on Syntactic Pattern Recognition Methods in Bioinformatics

M. Flasiński
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Abstract

Formal tools and models of syntactic pattern recognition which are used in bioinformatics are introduced and characterized in the paper. They include, among others: stochastic (string) grammars and automata, hidden Markov models, programmed grammars, attributed grammars, stochastic tree grammars, Tree Adjoining Grammars (TAGs), algebraic dynamic programming, NLC- and NCE-type graph grammars, and algebraic graph transformation systems. The survey of applications of these formal tools and models in bioinformatics is presented.
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生物信息学句法模式识别方法概览
本文介绍了生物信息学中使用的句法模式识别的形式工具和模型,并对其进行了描述。其中包括:随机(字符串)语法和自动机、隐马尔可夫模型、编程语法、归因语法、随机树语法、树邻接语法(TAG)、代数动态编程、NLC 和 NCE 型图语法以及代数图转换系统。本文介绍了这些形式化工具和模型在生物信息学中的应用。
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