Evolutionary Computation in Bioinformatics

1st Edition

Print ISBN: 9781558607972
eBook ISBN: 9780080506081
Imprint: Morgan Kaufmann
Published Date: 16th September 2002
Page Count: 393
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Bioinformatics has never been as popular as it is today. The genomics revolution is generating so much data in such rapid succession that it has become difficult for biologists to decipher. In particular, there are many problems in biology that are too large to solve with standard methods. Researchers in evolutionary computation (EC) have turned their attention to these problems. They understand the power of EC to rapidly search very large and complex spaces and return reasonable solutions. While these researchers are increasingly interested in problems from the biological sciences, EC and its problem-solving capabilities are generally not yet understood or applied in the biology community.

This book offers a definitive resource to bridge the computer science and biology communities. Gary Fogel and David Corne, well-known representatives of these fields, introduce biology and bioinformatics to computer scientists, and evolutionary computation to biologists and computer scientists unfamiliar with these techniques. The fourteen chapters that follow are written by leading computer scientists and biologists who examine successful applications of evolutionary computation to various problems in the biological sciences.

Key Features

  • Describes applications of EC to bioinformatics in a wide variety of areas including DNA sequencing, protein folding, gene and protein classification, drug targeting, drug design, data mining of biological databases, and biodata visualization.
  • Offers industrial and academic researchers in computer science, biology, and bioinformatics an important resource for applying evolutionary computation.
  • Includes a detailed appendix of biological data resources.


Researchers and graduate students in computer science and biology

Table of Contents

PART I - Introduction to the Concepts of Bioinformatics and Evolutionary Computation

Chapter 1. An Introduction to Bioinformatics for Computer Scientists By David W. Corne and Gary B. Fogel Chapter 2. An Introduction to Evolutionary Computation for Biologists By Gary B. Fogel and David W. Corne

PART II - Sequence and Structure Alignment Chapter 3. Determining Genome Sequences from Experimental Data Using Evolutionary Computation By Jacek Blazewic and Marta Kasprzak Chapter 4. Protein Structure Alignment Using Evolutionary Computation By Joseph D. Szustakowski and Zhipeng Weng

Chapter 5. Using Genetic Algorithms for Pairwise and Multiple Sequence Alignments By Cédric Notredame

PART III - Protein Folding Chapter 6. On the Evolutionary Search for Solutions to the Protein Folding Problem By Garrison W. Greenwood and Jae-Min Shin Chapter 7. Toward Effective Polypeptide Structure Prediction with Parallel Fast Messy Genetic Algorithms By Gary B. Lamont and Laurence D. Merkle

Chapter 8. Application of Evolutionary Computation to Protein Folding with Specialized Operators By Steffen Schulze-Kremer

PART IV - Machine Learning and Inference Chapter 9. Identification of Coding Regions in DNA Sequences Using Evolved Neural Networks By Gary B. Fogel, Kumar Chellapilla, and David B. Fogel Chapter 10. Clustering Microarray Data with Evolutionary Algorithms By Emanuel Falkenauer and Arnaud Marchand

Chapter 11. Evolutionary Computation and Fractal Visualization of Sequence Data By Dan Ashlock and Jim Golden

Chapter 12. I


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© Morgan Kaufmann 2003
Morgan Kaufmann
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"This is a fine book that clearly discusses the applications of evolutionary computation techniques to a variety of different areas. It covers most topics a bioinformatician will find interesting." --Santosh Mishra, Eli Lilly