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Birkhäuser

Introduction to Computational Biology

An Evolutionary Approach

  • Textbook
  • © 2006

Overview

  • 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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Table of contents (12 chapters)

Keywords

About this book

Analysis of molecular sequence data is the main subject of this introduction to computational biology. 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.

This textbook is intended for students enrolled in courses in computational biology or bioinformatics as well as for molecular biologists, mathematicians, and computer scientists.

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

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