Franklin: Record - Mathematics of bioinformatics : theory, practice, and applications / Matthew He, Sergey Petoukhov.

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Mathematics of bioinformatics : theory, practice, and applications / Matthew He, Sergey Petoukhov.

He, Matthew.
Hoboken, N.J. : Wiley, c2011.
Wiley series on bioinformatics.
Wiley series in bioinformatics: computational techniques and engineering
xvi, 298 p. : ill. ; 25 cm.
Computational biology.
"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"-- Provided by publisher.
Machine generated contents note: 1. Bioinformatics and Mathematics
1.1. Introduction
1.2. Genetic Code and Mathematics
1.3. Mathematical Background
1.4. Converting Data to Knowledge
1.5. The Big Picture: Informatics
1.6. Challenges and Perspectives
2. Genetic Codes, Matrices, and Symmetrical Techniques
2.1. Introduction
2.2. Matrix Theory and Symmetry Preliminaries
2.3. Genetic Codes and Matrices
2.4. Genetic Matrices, Hydrogen Bonds, and the Golden Section
2.5. Symmetrical Patterns, Molecular Genetics, and Bioinformatics
2.6. Challenges and Perspectives
3. Biological Sequences, Sequence Alignment, and Statistics
3.1. Introduction
3.2. Mathematical Sequences
3.3. Sequence Alignment
3.4. Sequence Analysis and Further Discussion
3.5. Challenges and Perspectives
4. Structures of DNA and Knot Theory
4.1. Introduction
4.2. Knot Theory Preliminaries
4.3. DNA Knots and Links
4.4. Challenges and Perspectives
5. Protein Structures, Geometry, and Topology
5.1. Introduction
5.2. Computational Geometry and Topology Preliminaries
5.3. Protein Structures and Prediction
5.4. Statistical Approach and Discussion
5.5. Challenges and Perspectives
6. Biological Networks and Graph Theory
6.1. Introduction
6.2. Graph Theory Preliminaries and Network Topology
6.3. Models of Biological Networks
6.4. Challenges and Perspectives
7. Biological Systems, Fractals, and Systems Biology
7.1. Introduction
7.2. Fractal Geometry Preliminaries
7.3. Fractal Geometry in Biological Systems
7.4. Systems Biology
7.5. Challenges and Perspectives
8. Matrix Genetics, Hadamard Matrices, and Algebraic Biology
8.1. Introduction
8.2. Genetic Matrices and the Degeneracy of the Genetic Code
8.3. The Genetic Code and Hadamard Matrices
8.4. Genetic Matrices and Matrix Algebras of Hypercomplex Numbers
8.5. Some Rules of Evolution of Variants of the Genetic Code
8.6. Challenges and Perspectives
9. Bioinformatics, Denotational Mathematics, and Cognitive Informatics
9.1. Introduction
9.2. Emerging Pattern, Dissipative Structure, and Evolving Cognition
9.3. Denotational Mathematics and Cognitive Computing
9.4. Challenges and Perspectives
10. Evolutionary Trends and Central Dogma of Informatics
10.1. Introduction
10.2. Evolutionary Trends of Information Sciences
10.3. Central Dogma of Informatics
10.4. Challenges and Perspectives
Includes bibliographical references and index.
Local notes:
Acquired for the Penn Libraries with assistance from the Class of 1953 Fund.
Petukhov, S. V. (Sergeĭ Valentinovich)
Class of 1953 Fund.
9780470404430 (hardback)
Publisher no.:
Web link:
The Class of 1953 Fund Home Page
The Class of 1953 Fund Home Page  Bookplate