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  • Textbook
  • © 2006

Introduction to Computational Biology

An Evolutionary Approach

Birkhäuser
  • Based on the lectures by Prof. Wiehe, University of Cologne, Germany, and Prof. Haubold, University of Applied Sciences Weihenstephan, Freising, Germany

  • Contains exercises, questions and answers to selected problems

  • Includes supplementary material: sn.pub/extras

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  • ISBN: 978-3-7643-7387-0
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Table of contents (12 chapters)

  1. Front Matter

    Pages I-XIV
  2. Introduction

    1. Introduction

      Pages 1-8
  3. Sequences in Time

    1. Front Matter

      Pages 141-141
    2. Phylogeny

      Pages 143-168
  4. Back Matter

    Pages 259-328

About this book

Molecular biology has changed dramatically over the past two decades. Until the early 1990s genes were studied one at a time by small teams of researchers; today entire genomes are sequenced by internationally collaborating laboratories. In the bygone gene-centered era the accumulation of data was the rate-limiting step in research. Now that step is often data interpretation. This is increasingly dependent on computational methods and as a consequence, computational biology has emerged in the past decade as a new subdiscipline of biology.

This introduction to computational biology is centered on the analysis of molecular sequence data. There are two closely connected aspects to biological sequences: (i) their relative position in the space of all other sequences, and (ii) their movement through this sequence space in evolutionary time. Accordingly, the first part of the book deals with classical methods of sequence analysis: pairwise alignment, exact string matching, multiple alignment, and hidden Markov models. In the second part evolutionary time takes center stage and phylogenetic reconstruction, the analysis of sequence variation, and the dynamics of genes in populations are explained in detail. In addition, the book contains a computer program with a graphical user interface that allows the reader to experiment with a number of key concepts developed by the authors.

Introduction to Computational Biology is intended for students enrolled in courses in computational biology or bioinformatics as well as for molecular biologists, mathematicians, and computer scientists.

Bernhard Haubold is associate professor at the University of Applied Sciences, Weihenstephan, Germany. Thomas Wiehe is associate professor at the University of Cologne, Germany.

Keywords

  • Alignment
  • Analysis
  • SNP
  • Single Nucleotide Polymorphism
  • bioinformatics
  • computer
  • database
  • evolution
  • genes
  • hidden markov model
  • molecular biology
  • molecular evolution
  • phylogeny
  • sequence analysis
  • statistics

Reviews

From the reviews: “Haubold and Weihe is precisely addressed to this increasingly large circle of people using sequences … an introduction to the computational aspects of genomics and the interpretation of sequence biological data. … Each chapter ends with a small section of interesting exercises and accompanying answers … . These make the book very useful for students in bioinformatics but also for researchers and students in molecular biology, genetics, medicine or at the other end students in computer sciences or mathematics interested in molecular biology.” (Andrei Petrescu, Romanian Journal of Biochemistry, Vol. 47 (1), 2010)

Authors and Affiliations

  • Department of Biotechnology and Informatics, University of Applied Sciences, Freising, Germany

    Bernhard Haubold

  • Institut für Genetik, Universität zu Köln, Köln, Germany

    Thomas Wiehe

Bibliographic Information

Buying options

eBook USD 44.99
Price excludes VAT (USA)
  • ISBN: 978-3-7643-7387-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout