An Introduction

  • Jeremy Ramsden

Part of the Computational Biology book series (COBO, volume 21)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Jeremy Ramsden
    Pages 1-6
  3. Information

    1. Front Matter
      Pages 7-7
    2. Jeremy Ramsden
      Pages 9-31
    3. Jeremy Ramsden
      Pages 33-48
    4. Jeremy Ramsden
      Pages 49-53
    5. Jeremy Ramsden
      Pages 55-69
    6. Jeremy Ramsden
      Pages 71-84
    7. Jeremy Ramsden
      Pages 85-99
    8. Jeremy Ramsden
      Pages 101-113
  4. Biology

    1. Front Matter
      Pages 115-115
    2. Jeremy Ramsden
      Pages 117-128
    3. Jeremy Ramsden
      Pages 129-174
    4. Jeremy Ramsden
      Pages 175-194
  5. Applications

    1. Front Matter
      Pages 195-195
    2. Jeremy Ramsden
      Pages 197-201
    3. Jeremy Ramsden
      Pages 203-221
    4. Jeremy Ramsden
      Pages 223-239
    5. Jeremy Ramsden
      Pages 241-242
    6. Jeremy Ramsden
      Pages 261-264
    7. Jeremy Ramsden
      Pages 265-270
    8. Jeremy Ramsden
      Pages 271-274
    9. Jeremy Ramsden
      Pages 275-286
    10. Jeremy Ramsden
      Pages 287-289
    11. Jeremy Ramsden
      Pages 291-298
  6. Back Matter
    Pages 299-308

About this book


This comprehensive textbook/reference presents a self-contained guide to bioinformatics, defined in its broadest sense as the application of information science to biology.

Thoroughly updated and considerably expanded, this third edition now includes material on the growing array of “-omics”; covering metagenomics, toxicogenomics, glycomics, lipidomics, microbiomics, and phenomics. New chapters have also been added on ecosystems management and the nervous system. Emphasis is placed on providing both a firm grounding in the core concepts, and a clear overview of the complete field of bioinformatics.

Topics and features:

  • Explains the fundamentals of information science relevant to biology, discussing set theory, combinatorics, probability, likelihood, clustering, pattern recognition, randomness, complexity, systems, and networks
  • Covers both organismal (ontogeny and phylogeny, as well as genome structure) and molecular aspects
  • Critically examines the most important practical applications of bioinformatics, providing detailed descriptions of both the experimental process and the analysis of the data
  • Provides a varied selection of problems throughout the book, to stimulate further thinking
  • Contains an extensive bibliography offering a guide to further reading and to the latest reported research

Combining the successful formula of the previous editions with significantly enhanced new content, this textbook serves as a complete study companion for undergraduates and the beginning graduate student. With its invaluable insights into the state-of-the-art of bioinformatics, the book is also ideal for physical scientists seeking a succinct guide to biology, and for biological scientists wishing to better understand the physicochemical and mathematical aspects underpinning the applications.


Algorithms Bioinformatics Biology Complexity Genome Knowledge Representation Sequence Analysis

Authors and affiliations

  • Jeremy Ramsden
    • 1
  1. 1.The University of BuckinghamUnited Kingdom

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag London 2015
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-4471-6701-3
  • Online ISBN 978-1-4471-6702-0
  • Series Print ISSN 1568-2684
  • Buy this book on publisher's site
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