Evolutionary Computation in Bioinformatics
Résumé
This book offers a definitive resource that bridges two communities. Gary Fogel and David Corne, well-known representatives of these fields, have written an introduction to biology and bioinformatics for computer scientists and an introduction to evolutionary computation for biologists and for computer scientists unfamiliar with these techniques. The remaining eighteen chapters, written by leading computer scientists and biologists examine successful applications of evolutionary computation in areas such as: DNA sequencing, protein folding, DNA annotation, gene and protein classification, drug targeting, drug design, data mining of biological databases, and biodata visualisation. The appendix provides a full listing of biological data resources.
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.
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
L'auteur - David W Corne
David W. Corne lectures and consults in EC at the
University of Reading. His early research on evolutionary
timetabling (with Peter Ross) resulted in the first, freely
available and successful EC-based general timetabling
program for educational and other institutions. Later EC
work has been in protein folding, human genome research,
medicine, scheduling, layout design, telecommunications,
data mining, algorithm comparison issues, multiobjective
optimization, and others. He is an associate editor of the
IEEE Transactions on Evolutionary Computation, a founding
co-editor of the Journal of Scheduling, on the Review Board
of Applied Intelligence and appears on a host of
international conference program committees.
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Morgan Kaufmann |
| Auteur(s) | David W Corne, Gary B. Fogel |
| Parution | 12/03/2003 |
| Nb. de pages | 394 |
| Format | 19 x 24 |
| Couverture | Broché |
| Poids | 915g |
| Intérieur | Noir et Blanc |
| EAN13 | 9781558607972 |
| ISBN13 | 978-1-55860-797-2 |
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