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Introduction to Mathematical Methods in Bioinformatics [electronic resource] /by Alexander Isaev.

by Isaev, Alexander [author.]; SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.Description: XIII, 294 p. 77 illus. online resource.ISBN: 9783540484264.Subject(s): Life sciences | Bioinformatics | Mathematics | Life Sciences | Bioinformatics | Applications of MathematicsDDC classification: 570.285 Online resources: Click here to access online
Contents:
Sequence Analysis -- Introduction: Biological Sequences -- Sequence Alignment -- Markov Chains and Hidden Markov Models -- Protein Folding -- Phylogenetic Reconstruction -- Mathematical Background for Sequence Analysis -- Elements of Probability Theory -- Significance of Sequence Alignment Scores -- Elements of Statistics -- Substitution Matrices.
In: Springer eBooksSummary: This book looks at the mathematical foundations of the models currently in use. This is crucial for the correct interpretation of the outputs of the models. A bioinformatician should be able not only to use software packages, but also to know the mathematics behind these packages. From this point of view, mathematics departments throughout the world have a major role to play in bioinformatics education by teaching courses on the mathematical foundations of the subject. Based on the courses taught by the author the book combines several topics in biological sequence analysis with mathematical and statistical material required for such analysis.
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Sequence Analysis -- Introduction: Biological Sequences -- Sequence Alignment -- Markov Chains and Hidden Markov Models -- Protein Folding -- Phylogenetic Reconstruction -- Mathematical Background for Sequence Analysis -- Elements of Probability Theory -- Significance of Sequence Alignment Scores -- Elements of Statistics -- Substitution Matrices.

This book looks at the mathematical foundations of the models currently in use. This is crucial for the correct interpretation of the outputs of the models. A bioinformatician should be able not only to use software packages, but also to know the mathematics behind these packages. From this point of view, mathematics departments throughout the world have a major role to play in bioinformatics education by teaching courses on the mathematical foundations of the subject. Based on the courses taught by the author the book combines several topics in biological sequence analysis with mathematical and statistical material required for such analysis.

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