Bioinformatics for Evolutionary Biologists

A Problems Approach

  • Bernhard Haubold
  • Angelika Börsch-Haubold

Table of contents

  1. Front Matter
    Pages i-x
  2. Bernhard Haubold, Angelika Börsch-Haubold
    Pages 1-21
  3. Bernhard Haubold, Angelika Börsch-Haubold
    Pages 23-45
  4. Bernhard Haubold, Angelika Börsch-Haubold
    Pages 47-67
  5. Bernhard Haubold, Angelika Börsch-Haubold
    Pages 69-99
  6. Bernhard Haubold, Angelika Börsch-Haubold
    Pages 101-111
  7. Bernhard Haubold, Angelika Börsch-Haubold
    Pages 113-126
  8. Bernhard Haubold, Angelika Börsch-Haubold
    Pages 127-138
  9. Back Matter
    Pages 139-318

About this book

Introduction

This self-contained textbook covers fundamental aspects of sequence analysis in evolutionary biology, including sequence alignment, phylogeny reconstruction, and coalescent simulation. It addresses these aspects through a series of over 400 computer problems, ranging from elementary to research level to enable learning by doing. Students solve the problems in the same computational environment used for decades in science – the UNIX command line. This is available on all three major operating systems for PCs: Microsoft Windows, Mac-OSX, and Linux. To learn using this powerful system, students analyze sample sequence data by applying generic tools, bioinformatics software, and over 40 programs specifically written for this course. The solutions for all problems are included, making the book ideal for self-study. Problems are grouped into sections headed by an introduction and a list of new concepts and programs. By using practical computing to explore evolutionary concepts and sequence data, the book enables readers to tackle their own computational problems.

Keywords

molecular bioinformatics evolutionary biology Problem solving sequence analysis UNIX command line Phylogeny reconstruction

Authors and affiliations

  • Bernhard Haubold
    • 1
  • Angelika Börsch-Haubold
    • 2
  1. 1.Department of Evolutionary GeneticsMax-Planck-Institute for Evolutionary BiologyPlönGermany
  2. 2.PlönGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-67395-0
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-3-319-67394-3
  • Online ISBN 978-3-319-67395-0
  • About this book
Industry Sectors
Biotechnology
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