Computational molecular biology, or bioinformatics, draws on the disciplines of biology, mathematics, statistics, physics, chemistry, computer science, and engineering. It provides the computational support for functional genomics, which links the behavior of cells, organisms, and populations to the information encoded in the genomes, as well as for structural genomics. At the heart of all large-scale and high-throughput biotechnologies, it has a growing impact on health and medicine.This survey of computational molecular biology covers traditional topics such as protein structure modeling and sequence alignment, and more recent ones such as expression data analysis and comparative genomics. It combines algorithmic, statistical, database, and AI-based methods for studying biological problems. The book also contains an introductory chapter, as well as one on general statistical modeling and computational techniques in molecular biology. Each chapter presents a self-contained review of a specific subject.Not for sale in China, including Hong Kong
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About the Author
Ying Xu is a Senior Staff Scientist and Leader of the Computational Protein Structure Group at Oak Ridge National Laboratory.
Michael Q. Zhang is Associate Professor in Computational Biology and Bioinformatics at the Watson School of Biological Sciences, Cold Spring Harbor Laboratory.
Tao Jiang is Professor of Computer Science and Engineering at the University of California, Riverside.
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- Survey of Text Mining I: Clustering, Classification, and Retrieval (No. 1) by Michael W. Berry on page 100, and Back Matter
- Grouping Multidimensional Data: Recent Advances in Clustering by Jacob Kogan in Back Matter
- Algorithms in Bioinformatics: 4th International Workshop, WABI 2004, Bergen, Norway, September 17-21, 2004, Proceedings (Lecture Notes in Computer Science / Lecture Notes in Bioinformatics) by Inge Jonassen on page 49
- Combinatorial Pattern Matching: 14th Annual Symposium, CPM 2003, Morelia, Michoacán, Mexico, June 25-27, 2003, Proceedings (Lecture Notes in Computer Science) by Ricardo Baeza-Yates on page 169
- Energetics of Biological Macromolecules, Part E, Volume 380 (Methods in Enzymology) by Jo M. Holt on page 354
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