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By Andrzej Polanski , Marek Kimmel

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This textbook presents mathematical models in bioinformatics and describes biological problems that inspire the computing tools used to manage the enormous data sets involved. The first part of the book covers mathematical and computational methods, with practical applications presented in the second.

Full Description

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  • ISBN13: 978-3-5402-4166-9
  • 394 Pages
  • User Level: Students
  • Publication Date: May 11, 2007
  • Available eBook Formats: PDF
Full Description
Bioinformatics as a discipline arose out of the need to introduce order into the massive data sets produced by the new technologies of molecular biology: large-scale DNA sequencing, measurements of RNA concentrations in multiple gene expression arrays, and new profiling techniques in proteomics. As such, bioinformatics integrates a number of traditional quantitative sciences such as mathematics, statistics, computer science and cybernetics with biological sciences such as genetics, genomics, proteomics and molecular evolution. In this comprehensive textbook, Polanski and Kimmel present mathematical models in bioinformatics and they describe the biological problems that inspire the computer science tools used to handle the enormous data sets involved. The first part of the book covers the mathematical and computational methods, while the practical applications are presented in the second part. The mathematical presentation is descriptive and avoids unnecessary formalism, and yet remains clear and precise. Emphasis is laid on motivation through biological problems and cross applications. Each of the four chapters in the first part is accompanied by exercises and problems to support an understanding of the techniques presented. Each of the six chapters of the second part is devoted to some specific application domain: sequence alignment, molecular phylogenetics and coalescence theory, genomics, proteomics, RNA, and DNA microarrays. Each chapter concludes with a problems and projects section, to deepen the reader's understanding and to allow for the design of derived methods. Many of the projects involve publicly available software and/or Web-based bioinformatics depositories. Finally, the book closes with a thorough bibliography, reaching from classic research results to very recent findings, providing many pointers for future research.Overall, this volume is ideally suited for a senior undergraduate or graduate course on bioinformatics, with a strong focuson its mathematical and computer science background.
Table of Contents

Table of Contents

  1. Introduction.
  2. Part I
  3. Mathematical and Computational Methods: Probability and Statistics
  4. Computer Sciences Algorithms
  5. Pattern Analysis
  6. Optimization. Part II
  7. Applications: Sequence Alignment
  8. Molecular Phylogenetics
  9. Genomics
  10. Proteomics
  11. RNA
  12. DNA Microarrays
  13. Bioinformatic Databases and Bionformatic Internet Resources
  14. References
  15. Index.

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