title: Hidden Markov models in biology.
abstract: Markov and Hidden Markov models (HMMs) are introduced using examples from linkage mapping and sequence analysis. In the course, the forward-backward, the Viterbi, the Baum-Welch (EM) algorithm, and a Metropolis sampling scheme are presented.
authors.affiliation: Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna, Austria.
authors.forename: Claus
authors.initials: C
authors.lastname: Vogl
authors.forename: Andreas
authors.initials: A
authors.lastname: Futschik
mesh_terms: D000465:Algorithms; D000818:Animals; D001185:Artificial Intelligence; D002874:Chromosome Mapping; D019295:Computational Biology; D057225:Data Mining; D030541:Databases, Genetic; D008040:Genetic Linkage; D006801:Humans; D016013:Likelihood Functions; D008390:Markov Chains; D015233:Models, Statistical; D017422:Sequence Analysis, DNA