Computational Biology and Genome Informatics

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Overview

Written for researchers and graduate students, this collection surveys some of the mathematical and computer techniques being developed to organize the large amount of newly generated genetic data, identify biologically relevant features in genome sequences, and provide insight into their structure and function. Topics of the ten chapters include graph theoretic sequence clustering algorithms, self- assembling DNA nanostructures for nanofabrication, a geometric hashing approach to protein classification, and creating metabolic network models using text mining and expert knowledge. Annotation ©2003 Book News, Inc., Portland, OR
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Product Details

  • ISBN-13: 9789812382573
  • Publisher: World Scientific Publishing Company, Incorporated
  • Publication date: 2/28/2003
  • Pages: 268
  • Product dimensions: 6.20 (w) x 9.00 (h) x 0.70 (d)

Table of Contents

Preface
Ch. 1 Exploring RNA Intermediate Conformations with the Massively Parallel Genetic Algorithm 1
Ch. 2 Introduction to Self-Assembling DNA Nanostructures for Computation and Nanofabrication 35
Ch. 3 Mapping Sequence to Rice FPC 59
Ch. 4 Graph Theoretic Sequence Clustering Algorithms and Their Applications to Genome Comparison 81
Ch. 5 The Protein Information Resource for Functional Genomics and Proteomics 117
Ch. 6 High-Grade Ore for Data Mining in 3d Structures 139
Ch. 7 Protein Classification: A Geometric Hashing Approach 163
Ch. 8 Interrelated Clustering: An Approach for Gene Expression Data Analysis 183
Ch. 9 Creating Metabolic Network Models Using Text Mining and Expert Knowledge 207
Ch. 10 Phyloinformatics and Tree Networks 239
Index 253
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