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Hidden Markov Models for Bioinformatics by T. Koski (Hardcover, 2001)

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Portions of the material have also been lectured at shorter graduate courses and seminars both in Finland and in Sweden. The opportunity to give this course is hereby gratefully ac knowledged.

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The purpose of this book is to give a thorough and systematic introduction to probabilistic modelling in bioinformatics. The book contains a mathematically strict and extensive presentation of the kind of probabilistic models that have turned out to be useful in genome analysis. Questions of parametric inference, selection between model families, and various architectures are treated. Several examples are given of known architectures (for example, profile HMM) used in genome analysis.