Pattern Discovery in Biomolecular Data: Tools, Techniques, and Applications

by Jason T. L. Wang (Editor), Bruce A. Shapiro (Editor), Dennis Shasha (Editor)

Overview

Finding patterns in biomolecular data, particularly in DNA and RNA, is at the center of modern biological research. These data are complex and growing rapidly, so the search for patterns requires increasingly sophisticated computer methods. Pattern Discovery in Biomolecular Data provides a clear, up-to-date summary of the principal techniques. Each chapter is self-contained, and the techniques are drawn from many fields, including graph theory, information theory, statistics, genetic algorithms, computer visualization, and vision. Since pattern searches often benefit from multiple approaches, the book presents methods in their purest form so that readers can best choose the method or combination that fits their needs. The chapters focus on finding patterns in DNA, RNA, and protein sequences, finding patterns in 2D and 3D structures, and choosing system components. This volume will be invaluable for all workers in genomics and genetic analysis, and others whose research requires biocomputing.

Product Details

ISBN-13:	9780190283728
Publisher:	Oxford University Press
Publication date:	10/28/1999
Sold by:	Barnes & Noble
Format:	eBook
File size:	8 MB

Table of Contents

ContributorsIntroductionPart I. Finding Patterns in Sequences1. Discovering Patterns in DNA Sequences by the Algorithmic Significance Method, Aleksandar Milosavljević2. Assembling Blocks, Jorja G. Henikoff3 MEME, MAST, and Meta-MEME: New Tools for Motif Discovery in Protein Sequences, Timothy L. Bailey et al.4 Pattern Discovery and Classification in Biosequences, Jason T. L. Wang et al.Part II. Finding Patterns in 3D Structures5. Motif Discovery in Protein Structure Databases, Janice Glasgow, Evan Steeg, and Suzanne Fortier6. Systematic Detection of Protein Structural Motifs, Kentaro Tomii and Minoru Kanehisa7 Representation and Matching of Small Flexible Molecules in Large Databases of 3D Molecular Information, Isidore Rigoutsos et al.Part III. System Components for Discovery8. A Framework for Biological Pattern Discovery on Networks of Workstations, Bin Li, Dennis Shasha, and Jason T. L. Wang9. Discovering Concepts in Structural Data, Diane J. Cook, Lawrence B. Holder, and Gehad Galal10 Overview: A System for Tracking and Managing the Results from Sequence Comparison Programs, David P. Yee et al.11 RNA Structure Analysis: A Multifaceted Approach, Bruce A. Shapiro et al.GlossaryReferencesIndex