Introduction to Mathematical Methods in Bioinformatics [Paperback]

This book looks at the mathematical foundations of the models currently in use. All existing books on bioinformatics are software-orientated and they concentrate on computer implementations of mathematical models of biology. This book is unique in the sense that it looks at the mathematical foundations of the models, which are crucial for correct interpretation of the outputs of the models.

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.

From the reviews:

The book has two parts corresponding to two courses. The first part is Sequence Analysis & . The second part is Mathematical Background for Sequence Analysis & . The book concentrates on the mathematical basics of bioinformatics & . It is a comprehensive guide to bioinformatics, which takes into account that a bioinformatician should be able not only to use software packages, but also to know the mathematics behind these packages. (T. Postelnicu, Zentralblatt MATH, Vol. 1053, 2005)

In Introduction to Mathematical Methods in Bioinformatics, Alexander Isaev describes the mathematical foundations of bioinformatics & . The book succeeds in describing the fundamental mathematics behind computational sequence analysis, and in giving a taste of typical applied bioinformatics. & The number of examples presented in the book is excellent & . is a strong description of the theory behind the standard methods of computational sequence analysis. The book serves as a springboard for considering current bioinformatics research problems & . (Michael W. Deem, Physics Today, October, 2005)

Introduction to Mathematical Methods in Bioinformatlól