Bioinformatics

An Introduction

  • Jeremy Ramsden

Part of the Computational Biology book series (COBO, volume 10)

Table of contents

  1. Front Matter
    Pages 1-15
  2. Jeremy J. Ramsden
    Pages 1-5
  3. Information

    1. Front Matter
      Pages 1-1
    2. Jeremy J. Ramsden
      Pages 1-22
    3. Jeremy J. Ramsden
      Pages 1-16
    4. Jeremy J. Ramsden
      Pages 1-5
    5. Jeremy J. Ramsden
      Pages 1-16
    6. Jeremy J. Ramsden
      Pages 1-14
    7. Jeremy J. Ramsden
      Pages 1-15
    8. Jeremy J. Ramsden
      Pages 1-13
  4. Biology

    1. Front Matter
      Pages 1-1
    2. Jeremy J. Ramsden
      Pages 1-8
    3. Jeremy J. Ramsden
      Pages 1-39
    4. Jeremy J. Ramsden
      Pages 1-19
  5. Applications

    1. Front Matter
      Pages 1-1
    2. Jeremy J. Ramsden
      Pages 1-3
    3. Jeremy J. Ramsden
      Pages 1-16
    4. Jeremy J. Ramsden
      Pages 1-15
    5. Jeremy J. Ramsden
      Pages 1-6

About this book

Introduction

Bioinformatics is interpreted as the application of information science to biology, in which it plays a fundamental and all-pervasive role. The field continues to develop intensively in both academia and commercially, and is highly interdisciplinary. This broad-ranging and thoroughly updated second edition covers new findings while retaining the successful formula of the original text.

Bioinformatics: An Introduction (2nd Edition) is structured into three parts devoted to Information, Biology, and Applications. Every section of the book has been completely revised for currency, and expanded where relevant, to take account of significant new discoveries and realizations of the importance of key concepts. Furthermore, two new chapters provide instruction about algorithms and knowledge representation. Emphases are placed on the underlying fundamentals and on acquisition of a broad and comprehensive grasp of the field as a whole.

Features:

• Provides a solid foundation in, and self-contained introduction to, the field of bioinformatics and its state-of-the-art as it relates to computational biology research

• Offers additional chapters on algorithms and knowledge representation, including text mining [NEW]

• Imparts a thorough grounding of core concepts, enabling the reader to understand contemporary work within an optimal context

• Contains a greatly expanded chapter on interactions and regulatory networks [NEW]

• Includes examples, definitions, problems and a comprehensive and useful bibliography

• Presents new experimental methods, and serves as a springboard for new research [NEW]

• Incorporates discussion of the method of drawing inferences from abstract sequence analysis based on frequency dictionaries

• Contains an extensively revised chapter on medical applications [NEW]

• Emphasizes the underlying fundamentals and acquisition of a broad and comprehensive grasp of the field as a whole

This significantly improved second edition of a successful textbook is intended to be a complete study companion for the advanced undergraduate or graduate student. It is self-contained, bringing together the multiple disciplines necessary for a profound grasp of the field into a coherent whole, thereby allowing the reader to gain much insight into the state-of-the-art of bioinformatics.

Keywords

algorithms bioinformatics biology complexity genome knowledge representation sequence analysis

Authors and affiliations

  • Jeremy Ramsden

There are no affiliations available

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84800-257-9
  • Copyright Information Springer-Verlag London 2009
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84800-256-2
  • Online ISBN 978-1-84800-257-9
  • Series Print ISSN 1568-2684
  • About this book
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