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9789812382573

Computational Biology and Genome Informatics

by ; ;
  • ISBN13:

    9789812382573

  • ISBN10:

    9812382577

  • Format: Hardcover
  • Copyright: 2003-05-01
  • Publisher: World Scientific Pub Co Inc
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Supplemental Materials

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Summary

This book contains articles written by experts on a wide range of topics that are associated with the analysis and management of biological information at the molecular level. It contains chapters on RNA and protein structure analysis, DNA computing, sequence mapping, genome comparison, gene expression data mining, metabolic network modeling, and phyloinformatics. The important work of some representative researchers in bioinformatics is brought together for the first time in one volume. The topic is treated in depth and is related to, where applicable, other emerging technologies such as data mining and visualization. The goal of the book is to introduce readers to the principle techniques of bioinformatics in the hope that they will build on them to make new discoveries of their own. Contents: Exploring RNA Intermediate Conformations with the Massively Parallel Genetic Algorithm; Introduction to Self-Assembling DNA Nanostructures for Computation and Nanofabrication; Mapping Sequence to Rice FPC; Graph Theoretic Sequence Clustering Algorithms and their Applications to Genome Comparison; The Protein Information Resource for Functional Genomics and Proteomics; High-Grade Ore for Data Mining in 3D Structures; Protein Classification: A Geometric Hashing Approach; Interrelated Clustering: An Approach for Gene Expression Data Analysis; Creating Metabolic Network Models Using Text Mining and Expert Knowledge; Phyloinformatics and Tree Networks. Readership: Molecular biologists who rely on computers and mathematical scientists with interests in biology.

Table of Contents

Prefacep. v
Exploring RNA Intermediate Conformations with the Massively Parallel Genetic Algorithmp. 1
Introduction to Self-Assembling DNA Nanostructures for Computation and Nanofabricationp. 35
Mapping Sequence to Rice FPCp. 59
Graph Theoretic Sequence Clustering Algorithms and Their Applications to Genome Comparisonp. 81
The Protein Information Resource for Functional Genomics and Proteomicsp. 117
High-Grade Ore for Data Mining in 3d Structuresp. 139
Protein Classification: A Geometric Hashing Approachp. 163
Interrelated Clustering: An Approach for Gene Expression Data Analysisp. 183
Creating Metabolic Network Models Using Text Mining and Expert Knowledgep. 207
Phyloinformatics and Tree Networksp. 239
Indexp. 253
Table of Contents provided by Rittenhouse. All Rights Reserved.

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