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Computational Biology and Genome Informatics

Edited by

Jason T. L. Wang
Cathy H. Wu
Paul P. Wang

World Scientific Publishing Company, 2003, ISBN 981-238-257-7

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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.

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Table of Contents at World Scientific Publishing Company

  • Chapter 1. Exploring RNA Intermediate Conformations with the Massively Parallel Genetic Algorithm; Bruce A. Shapiro, David Bengali, Wojciech Kasprzak, Jin Chu Wu (National Cancer Institute), 1 - 33.
  • Chapter 2. Introduction to Self-Assembling DNA Nanostructures for Computation and Nanofabrication; Thomas H. LaBean (Duke University), 35 - 58.
  • Chapter 3. Mapping Sequence to Rice FPC; Carol Soderlund, Fred Engler, James Hatfield, Steven Blundy, et al. (University of Arizona, Clemson University Genomic Institute), 59 - 79.
  • Chapter 4. Graph Theoretic Sequence Clustering Algorithms and Their Applications to Genome Comparison; Sun Kim (Indiana University School of Informatics and Center for Genomics and Bioinformatics), 81 - 116.
  • Chapter 5. The Protein Information Resource for Functional Genomics and Proteomics; Cathy H. Wu (Georgetown University Medical Center), 117 - 137.
  • Chapter 6. High-Grade Ore for Data Mining in 3D Structures; Jane S. Richardson, David C. Richardson (Duke University), 139 - 161.
  • Chapter 7. Protein Classification: A Geometric Hashing Approach; Xiong Wang, Jason T. L. Wang (California State University at Fullerton, New Jersey Institute of Technology), 163 - 181.
  • Chapter 8. Interrelated Clustering: An Approach for Gene Expression Data Analysis; Chun Tang, Li Zhang, Aidong Zhang, Murali Ramanathan (State University of New York at Buffalo), 183 - 206.
  • Chapter 9. Creating Metabolic Network Models using Text Mining and Expert Knowledge; J. A. Dickerson, D. Berleant, Z. Cox, W. Qi, et al. (Iowa State University), 207 - 238.
  • Chapter 10. Phyloinformatics and Tree Networks; William H. Piel (State University of New York at Buffalo), 239 - 252.

Index, 253 - 257.

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If you have questions, have found bugs or typos, or want to comment on the presentation or content of the book, please send email to wangj@njit.edu.