Current topics in computational molecular biology / edited by Tao Jiang, Ying Xu, Michael Q. Zhang.
Contributor(s): Zhang, Michael Q
| Jiang, Tao | Xu, Ying | IEEE Xplore (Online Service) [distributor.] | MIT Press [publisher.].
Material type: 
BookSeries: Computational molecular biology: Publisher: Cambridge, Massachusetts : MIT Press, c2002Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [2002]Description: 1 PDF (xiii, 542 pages) : illustrations.Content type: text Media type: electronic Carrier type: online resourceISBN: 9780262276306.Subject(s): Molecular biology -- Data processing | Molecular biology -- MathematicsGenre/Form: Electronic books.Additional physical formats: Print version: No titleOnline resources: Abstract with links to resource Also available in print.Summary: 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.
"A Bradford book."
Includes bibliographical references and index.
Restricted to subscribers or individual electronic text purchasers.
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.
Also available in print.
Mode of access: World Wide Web
Description based on PDF viewed 12/23/2015.
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