2004 IntroductionToMathMethInBioinf

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Subject Headings: Bioinformatics, Lebesgue Measurable, Markov Chain, Probability Space, Substitution Matrix, Protein Folding, Phylogenetic Reconstruction, Sequence Alignment.



Book Overview

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.

Table of Contents

Biological Sequences p.3
Sequence Alignment p.?
Markov Chains and Hidden Markov Models p.25
Protein Folding p.75
Phylogenetic Reconstruction p.89
Elements of Probability Theory p.145
Significance of Sequence Alignment Scores p.209
Elements of Statistics p.231
Substitution Matrices p.271,

 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2004 IntroductionToMathMethInBioinfAlexander IsaevIntroduction to Mathematical Methods in Bioinformaticshttp://books.google.com/books?id=Q3FxavlbKoQC