| Description |
xxi, 393 pages : illustrations ; 24 cm |
| Series |
Morgan Kaufmann series in evolutionary computation |
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Morgan Kaufmann series in evolutionary computation.
|
| Contents |
Machine derived contents note: Table of contents for Evolutionary computation in bioinformatics / edited by Gary B. Fogel, David W. Corne. -- Bibliographic record and links to related information available from the Library of Congress catalog -- Information from electronic data provided by the publisher. May be incomplete or contain other coding. -- 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 Cďric 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. Identifying Metabolic Pathways and Gene Regulation Networks with Evolutionary Algorithms -- By Junji Kitagawa and Hitoshi Iba -- Chapter 13. Evolutionary Computational Support for the Characterization of Biological Systems -- By Bogdan Filipic and Janez Strancar -- PART V - Feature Selection -- Chapter 14. Discovery of Genetic and Environmental Interactions in Disease Data Using Evolutionary Computation -- By Laetitia Jourdan, Clarisse Dhaenens[AQ2], and El-Ghazali Talbi -- Chapter 15. Feature Selection Methods Based on Genetic Algorithms for in Silico Drug Design -- By Mark J. Embrechts, Muhsin Ozdemir, Larry Lockwood, Curt Breneman, Kristin Bennet, Dirk Devogelaere, and Marcel Rijkaert -- Chapter 16. Interpreting Analytical Spectra with Evolutionary Computation -- By Jem J. Rowland -- Appendix: Internet Resources for Bioinformatics Data and Tools -- Library of Congress subject headings for this publication: Bioinformatics, Evolutionary computation |
| Summary |
Publisher description: 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 |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Evolutionary computation.
|
|
Bioinformatics.
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| Author |
Corne, David.
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|
Fogel, Gary B
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| LC no. |
2002104302 |
| ISBN |
1558607978 |
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