Evolutionary Computation in Bioinformatics (Hardcover)
Gary B. Fogel, David W. Corne
- 出版商: Morgan Kaufmann
- 出版日期: 2002-09-16
- 售價: $3,770
- 貴賓價: 9.5 折 $3,582
- 語言: 英文
- 頁數: 393
- 裝訂: Hardcover
- ISBN: 1558607978
- ISBN-13: 9781558607972
-
相關分類:
生物資訊 Bioinformatics
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商品描述
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.
PART I - Introduction to the Concepts of Bioinformatics and Evolutionary Computation
Chapter 1. An Introduction to Bioinformatics for Computer Scientists
Chapter 2. An Introduction to Evolutionary Computation for Biologists
PART II - Sequence and Structure Alignment
Chapter 3. Determining Genome Sequences from Experimental Data Using Evolutionary Computation
Chapter 4. Protein Structure Alignment Using Evolutionary Computation
Chapter 5. Using Genetic Algorithms for Pairwise and Multiple Sequence Alignments
PART III - Protein Folding
Chapter 6. On the Evolutionary Search for Solutions to the Protein Folding Problem
Chapter 7. Toward Effective Polypeptide Structure Prediction with Parallel Fast Messy Genetic Algorithms
Chapter 8. Application of Evolutionary Computation to Protein Folding with Specialized Operators
PART IV - Machine Learning and Inference
Chapter 9. Identification of Coding Regions in DNA Sequences Using Evolved Neural Networks
Chapter 10. Clustering Microarray Data with Evolutionary Algorithms
Chapter 11. Evolutionary Computation and Fractal Visualization of Sequence Data
Chapter 12. Identifying Metabolic Pathways and Gene Regulation Networks with Evolutionary Algorithms
Chapter 13. Evolutionary Computational Support for the Characterization of Biological SystemsPART V - Feature Selection
Chapter 14. Discovery of Genetic and Environmental Interactions in Disease Data Using Evolutionary Computation
Chapter 15. Feature Selection Methods Based on Genetic Algorithms for in Silico Drug Design
Chapter 16. Interpreting Analytical Spectra with Evolutionary Computation
Appendix: Internet Resources for Bioinformatics Data and Tools