Applied Medical Informatics 2002;11(3-4): 54-58.
Hidden Markov Models
Iancu Mihaela
Dept. of Medical Informatics and Biostatistics, University of Medicine and Pharmacy „Iuliu Haţieganu” Cluj-Napoca
Abstract
Hidden Markov models (HMMs) are a highly effective means of modeling a family of unaligned sequences or a common motif within a set of unaligned sequences. The trained HMM can then be used for discrimination or multiple alignment.
Keywords: Hidden Markov models; Forward and backward algorithms; Viterbi algorithm; Multiple sequence alignment; Protein modeling.