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.