摘要
目前已获得了大量的生物序列和结构数据 ,传统研究生物序列的方法已面临挑战 ,生物学家已经转向能够处理大量数据的统计方法来研究。隐马尔可夫模型 (HMM )是一个能够通过可观察的数据很好地捕捉真实空间统计性质的随机模型 ,该模型用于生物序列分析是生物信息学 (Bioinformat ics)研究的新领域。序列的多重比对是生物序列分析研究中的一个重要方法。文章首先介绍了HMM的基本结构 ,然后着重讨论了HMM在DNA序列之间的多重比对中的应用。
Nowadays large amount of data about biological sequence and structures have been obtained.Traditional methods of biological sequence analysis has not the ability analysis large amount of data.Biologists have updated their research methods with computer technology and statistics ,which could deal with large amount of data.Hidden Markov Models (HMM) is a stochastic model that accurately captures the statistical properties of observed data. The utilization of HMM is a new field of Bioinformatics in the research of biological sequence analysis. A Multiple sequence alignment is an importment problem in biological sequence analysis. The theory of HMM is reviewed, and the applications of HMM is introduced in biological sequence analysis, with a focus on the multiple alignment of DNA sequence in this paper.
出处
《四川教育学院学报》
2004年第9期90-92,共3页
Journal of Sichuan College of Education
