期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2011
卷号：2
期号：3
页码：1031-1035
出版社：TechScience Publications
摘要：Hidden markov models is a statistical tool largely used to study protein alignments and profile analysis of a set of proteins. Finite state machines like HMM move through a series of states and produce output either when the machine has reached a particular state or when it is moving from state to another. It generates a protein sequence by emitting amino acids as it progresses through a series of states. Multiple sequence alignment is a powerful technique that is used by modern bioinformatics systems almost in all their applications. The biomedical methods and algorithms used in MSA have vast importance in solving a series of related biological problems. The well-known and widely used statistical method of characterizing the spectral properties of the residues of a genomic or proteomic pattern is the HMM approach. Profile HMMs have proved to offer a robust solution for MSAX-?
