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.


Hidden Markov models, Forward and backward algorithms, Viterbi algorithm, Multiple sequence alignment, Protein modeling.