Multiple Sequence Alignment Methods

  • David J Russell

Part of the Methods in Molecular Biology book series (MIMB, volume 1079)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Theory

    1. Front Matter
      Pages 1-1
    2. Ö. Ufuk Nalbantoğlu
      Pages 3-27
    3. Osamu Gotoh
      Pages 29-43
    4. Haluk Doğan, Hasan H. Otu
      Pages 45-58
    5. Stefano Iantorno, Kevin Gori, Nick Goldman, Manuel Gil, Christophe Dessimoz
      Pages 59-73
  3. Alignment Techniques

    1. Front Matter
      Pages 103-103
    2. Fabian Sievers, Desmond G. Higgins
      Pages 105-116
    3. Cedrik Magis, Jean-François Taly, Giovanni Bussotti, Jia-Ming Chang, Paolo Di Tommaso, Ionas Erb et al.
      Pages 117-129
    4. Kazutaka Katoh, Daron M. Standley
      Pages 131-146
    5. Ari Löytynoja
      Pages 155-170
    6. Burkhard Morgenstern
      Pages 191-202
    7. Yongchao Liu, Bertil Schmidt
      Pages 211-218
    8. Punto Bawono, Jaap Heringa
      Pages 245-262
  4. Back Matter
    Pages 285-287

About this book


From basic performing of sequence alignment through a proficiency at understanding how most industry-standard alignment algorithms achieve their results, Multiple Sequence Alignment Methods describes numerous algorithms and their nuances in chapters written by the experts who developed these algorithms.  The various multiple sequence alignment algorithms presented in this handbook give a flavor of the broad range of choices available for multiple sequence alignment generation, and their diversity is a clear reflection of the complexity of the multiple sequence alignment problem and the amount of information that can be obtained from multiple sequence alignments.  Each of these chapters not only describes the algorithm it covers but also presents instructions and tips on using their implementation, as is fitting with its inclusion in the highly successful Methods in Molecular Biology series.


Authoritative and practical, Multiple Sequence Alignment Methods provides a readily available resource which will allow practitioners to experiment with different algorithms and find the particular algorithm that is of most use in their application.


Alignment algorithms Bioinformatics Biological sequences Computational biology

Editors and affiliations

  • David J Russell
    • 1
  1. 1.Dept. of Electrical EngineeringUniversity of Nebraska-LincolnLincolnUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media, LLC 2014
  • Publisher Name Humana Press, Totowa, NJ
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-62703-645-0
  • Online ISBN 978-1-62703-646-7
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site