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.
* 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.
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