Biological database modeling

Biological database modeling.

Ed. by Jake Chen and Amandeep S. Sidhu.

Artech House

2008

224 pages

$115.00

Hardcover

Artech House bioinformatics & biomedical imaging

QH324

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Chen (informatics, Indiana University) and Sidhu (Curtin University of Technology, Australia) help professionals and researchers master the next generation of biological database modeling techniques, a fast-growing area at the intersection of life sciences and scientific database management systems (DBMS). They present innovative biological database modeling concepts, methods, and software tools, integrated with case studies in genomics, functional genomics, proteomics, and drug discovery projects. They show how to model the structure and semantics of biological data from public literature databases, high-throughput genomics, gene expression profiling, proteomics, and chemical compound screening projects. The first five chapters introduce basic biological database concepts and general data representation practices essential to post-genome biology. The next three chapters use case studies to explain how to develop data management techniques to process and analyze high-throughput biological data. Two final chapters demonstrate how to apply biological data management for drug discoveries.

([c]20082005 Book News, Inc., Portland, OR)

COPYRIGHT 2008 Book News, Inc.
COPYRIGHT 2008 Gale, Cengage Learning

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