Mathematics Of Bioinformatics


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Mathematics of Bioinformatics


Mathematics of Bioinformatics

Author: Matthew He

language: en

Publisher: John Wiley & Sons

Release Date: 2011-03-16


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Mathematics of Bioinformatics: Theory, Methods, and Applications provides a comprehensive format for connecting and integrating information derived from mathematical methods and applying it to the understanding of biological sequences, structures, and networks. Each chapter is divided into a number of sections based on the bioinformatics topics and related mathematical theory and methods. Each topic of the section is comprised of the following three parts: an introduction to the biological problems in bioinformatics; a presentation of relevant topics of mathematical theory and methods to the bioinformatics problems introduced in the first part; an integrative overview that draws the connections and interfaces between bioinformatics problems/issues and mathematical theory/methods/applications.

Introduction to Mathematical Methods in Bioinformatics


Introduction to Mathematical Methods in Bioinformatics

Author: Alexander Isaev

language: en

Publisher: Springer Science & Business Media

Release Date: 2006-09-19


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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.

Pattern Discovery in Bioinformatics


Pattern Discovery in Bioinformatics

Author: Laxmi Parida

language: en

Publisher: CRC Press

Release Date: 2007-07-04


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The computational methods of bioinformatics are being used more and more to process the large volume of current biological data. Promoting an understanding of the underlying biology that produces this data, Pattern Discovery in Bioinformatics: Theory and Algorithms provides the tools to study regularities in biological data. Taking a systema