عنوان

Evolutionary computation in bioinformatics /

(Number (ISBN

0080506089

(Number (ISBN

1281078107

(Number (ISBN

661107810X

(Number (ISBN

9780080506081

(Number (ISBN

9781281078100

(Number (ISBN

9786611078102

Erroneous ISBN

1558607978

Erroneous ISBN

9781558607972

Number

b749880

Title Proper

Evolutionary computation in bioinformatics /

General Material Designation

[Book]

First Statement of Responsibility

edited by Gary B. Fogel, David W. Corne.

Place of Publication, Distribution, etc.

Boston :

Name of Publisher, Distributor, etc.

Morgan Kaufmann Publishers,

Date of Publication, Distribution, etc.

©2003.

Specific Material Designation and Extent of Item

1 online resource (xxi, 393 pages) :

Other Physical Details

illustrations (some color)

Series Title

The Morgan Kaufmann Series in Artificial Intelligence

Text of Note

Includes bibliographical references.

Text of Note

An introduction to bioinformatics for computer scientists / David W. Corne and Gary B. Fogel -- An introduction to evolutionary computation for biologists / Gary B. Fogel and David W. Corne -- Determining genome sequences from experimental data using evolutionary computation / Jacek Blazewicz and Marta Kasprzak -- Protein structure alignment using evolutionary computation / Joseph D. Szustakowski and Zhiping Weng -- Using genetic algorithms for pairwise and multiple sequence alignments / Cédric Notredame -- On the evolutionary search for solutions to the protein folding problem / Garrison W. Greenwood and Jae-Min Shin -- Toward effective polypeptide structure prediction with parallel fast messy genetic algorithms / Gary B. Lamont and Laurence D. Merkle -- Application of evolutionary computation to protein folding with specialized operators / Steffen Schulze-Kremer -- Identification of coding regions in DNA sequences using evolved neural networks / Gary B. Fogel, Kumar Chellapilla and David B. Fogel -- Clustering microarray data with evolutionary algorithms / Emanuel Falkenauer and Arnaud Marchand -- Evolutionary computation and fractal visualization of sequence data / Dan Ashlock and Jim Golden -- Identifying metabolic pathways and gene regulation networks with evolutionary algorithms / Junji Kitagawa and Hitoshi Iba --Evolutionary computational support for the characterization of biological systems / Bogdan Filipič and Janez Štrancar -- Discovery of genetic and environmental interactions in disease data using evolutionary computation / Laetitia Jourdan, Clarisse Dhaenens-Flipo and El-Ghazali Talbi -- Feature selection methods based on genetic algorithms for in silico drug design / Mark J. Embrechts, Muhsin Ozdemir, Larry Lockwood, Curt Breneman, Kristin Bennett, Dirk Devogelaere and Marcel Rijckaert --Interpreting analytical spectra with evolutionary computation / Jem J. Rowland.

0

Text of Note

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.

Text of Note

Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.

Source for Acquisition/Subscription Address

Elsevier Science & Technology

Stock Number

97148:97148

Title

Evolutionary computation in bioinformatics.

Bioinformatics.

Evolutionary computation.

Bioinformática.

Bioinformatics.

Evolutionary computation.

NATURE-- Reference.

SCIENCE-- Life Sciences-- Biology.

SCIENCE-- Life Sciences-- General.

NAT-- 027000

SCI-- 008000

SCI-- 086000

Number

576.113:519.68 P3

Number

Edition

Class number

Book number

Corne, David.

Fogel, Gary,1968-

Date of Transaction

20201204094423.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y