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Genome Clustering

From Linguistic Models to Classification of Genetic Texts

  • Alexander Bolshoy
  • Zeev (Vladimir) Volkovich
  • Valery Kirzhner
  • Zeev Barzily

Part of the Studies in Computational Intelligence book series (SCI, volume 286)

Table of contents

  1. Front Matter
  2. Alexander Bolshoy, Zeev (Vladimir) Volkovich, Valery Kirzhner, Zeev Barzily
    Pages 1-16
  3. Alexander Bolshoy, Zeev (Vladimir) Volkovich, Valery Kirzhner, Zeev Barzily
    Pages 17-22
  4. Alexander Bolshoy, Zeev (Vladimir) Volkovich, Valery Kirzhner, Zeev Barzily
    Pages 23-42
  5. Alexander Bolshoy, Zeev (Vladimir) Volkovich, Valery Kirzhner, Zeev Barzily
    Pages 43-60
  6. Alexander Bolshoy, Zeev (Vladimir) Volkovich, Valery Kirzhner, Zeev Barzily
    Pages 61-85
  7. Alexander Bolshoy, Zeev (Vladimir) Volkovich, Valery Kirzhner, Zeev Barzily
    Pages 87-112
  8. Alexander Bolshoy, Zeev (Vladimir) Volkovich, Valery Kirzhner, Zeev Barzily
    Pages 113-145
  9. Alexander Bolshoy, Zeev (Vladimir) Volkovich, Valery Kirzhner, Zeev Barzily
    Pages 147-160
  10. Back Matter

About this book

Introduction

The study of language texts at the level of formal non-semantic models has a long history. Suffice it to say that the well-known Markov chains were first introduced as one of such models. The representation of biological data as text and, consequently, applications of text-analysis models in the field of comparative genomics are substantially newer; nevertheless the methods are well developed. In this book, we try to juxtapose linguistic and bioinformatics models of text analysis. So, it can be read, in a sense, “in two directions” – the book is written so as to appeal to the bioinformatician, who may be interested in finding techniques that had initially appeared in the natural language analysis, and to computational linguist, who may be surprised to discover familiar methods used in bioinformatics. In the presentation of the material, the authors, nevertheless, give preference their professional field - bioinformatics. Therefore, even a specialist in bioinformatics can find something new himself in this book. For example, this book includes a review of the main data mining models generating the text spectra. The chapters of the book assume neither advanced mathematical skills nor beginner knowledge of molecular biology. Relevant biological concepts are introduced in the beginning of the book. Several computer science issues relevant to the topics of the book are reviewed in the three appendices: clustering, sequence complexity, and DNA curvature modeling.

Keywords

Bioinformatics Computational Intelligence General Spectum Approach classification genetics genome

Authors and affiliations

  • Alexander Bolshoy
    • 1
  • Zeev (Vladimir) Volkovich
    • 2
  • Valery Kirzhner
    • 3
  • Zeev Barzily
    • 2
  1. 1.The Department of Evolutionary and Environmental Biology and the Institute of EvolutionUniversity of HaifaHaifaIsrael
  2. 2.Software Engineering DepartmentORT Braude CollegeKarmielIsrael
  3. 3.The Institute of EvolutionUniversity of HaifaHaifaIsrael

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-12952-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-12951-3
  • Online ISBN 978-3-642-12952-0
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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