Pattern discovery in biomolecular data : tools, techniques, and applications

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書誌事項

Pattern discovery in biomolecular data : tools, techniques, and applications

edited by Jason T.L. Wang, Bruce A. Shapiro, and Dennis Shasha

Oxford University, 1999

大学図書館所蔵 件 / 全14件

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注記

Includes bibliographical references (p. 226-247) and index

内容説明・目次

内容説明

This book presents, in one convenient volume, the work of researchers in the field of pattern discovery, a fundamental operation used in the process of extracting knowledge from biomolecular data. The significant growth of the size of biomolecular data has lead scientists to place increasing importance on developing novel techniques for this knowledge extraction. With this fact in mind, the editors have compiled this clear, up-to-date summary of the principle techniques of pattern discovery in molecular biology, in the hope that readers will build on these techniques and make discoveries of their own. The techniques are drawn from many fields of mathematical science, including graph theory, information theory, statistics, and computer vision. Because there are a variety of equally valid methods of finding patterns, the book presents methods in their purest form so that readers can choose the method or combination that best fits their applications. The contributions are organized into three parts: Finding Patterns in DNA and Protein Sequences; Finding Patterns in 3D Structures, and System Components for Discovery. This resource is essential to anyone who conducts research in biocomputing, and can serve as an excellent supplementary text for biocomputing courses.

目次

Contributors Introduction Part I. Finding Patterns in Sequences 1: Aleksandar Milosavljevi'c: Discovering Patterns in DNA Sequences by the Algorithmic Significance Method 2: Jorja G. Henikoff: Assembling Blocks 3: Timothy L. Bailey et al.: MEME, MAST, and Meta-MEME: New Tools for Motif Discovery in Protein Sequences 4: Jason T. L. Wang et al.: Pattern Discovery and Classification in Biosequences Part II. Finding Patterns in 3D Structures 5: Janice Glasgow, Evan Steeg, and Suzanne Fortier: Motif Discovery in Protein Structure Databases 6: Kentaro Tomii and Minoru Kanehisa: Systematic Detection of Protein Structural Motifs 7: Isidore Rigoutsos et al.: Representation and Matching of Small Flexible Molecules in Large Databases of 3D Molecular Information Part III. System Components for Discovery 8: Bin Li, Dennis Shasha, and Jason T. L. Wang: A Framework for Biological Pattern Discovery on Networks of Workstations 9: Diane J. Cook, Lawrence B. Holder, and Gehad Galal: Discovering Concepts in Structural Data 10: David P. Yee et al.: Overview: A System for Tracking and Managing the Results from Sequence Comparison Programs 11: Bruce A. Shapiro et al.: RNA Structure Analysis: A Multifaceted Approach Glossary References Index

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