• Andrzej Polanski
  • Marek Kimmel

Table of contents

  1. Front Matter
    Pages I-XVII
  2. Introduction

    1. Pages 1-9
  3. Mathematical and Computational Methods

    1. Front Matter
      Pages 11-11
    2. Pages 97-121
    3. Pages 123-152
  4. Applications

    1. Front Matter
      Pages 153-153
    2. Pages 155-185
    3. Pages 187-212
    4. Pages 213-260
    5. Pages 261-298
    6. RNA
      Pages 299-312
    7. Pages 313-348
  5. Back Matter
    Pages 355-376

About this book


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 focus on its mathematical and computer science background.


Alignment Analysis DNA sequencing Microarray algorithms bioinformatics computer computer science database databases genetics genome optimization statistics

Authors and affiliations

  • Andrzej Polanski
    • 1
    • 2
  • Marek Kimmel
    • 3
    • 4
  1. 1.Department of Computer SciencesSilesian University of TechnologyGliwicePoland
  2. 2.Institute of Information TechnologyPolish-JapaneseWarszawaPoland
  3. 3.Department of StatisticsRice UniversityHoustonUSA
  4. 4.System Engineering Group, Department of Automatic ControlSilesian University of TechnologyGliwicePoland

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-24166-9
  • Online ISBN 978-3-540-69022-1
  • Buy this book on publisher's site