Evolutionary Computation in Bioinformatics (Hardcover)
內容描述
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.
Contents
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
Systems
PART 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
