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OverviewKnowledge Discovery in High-Throughput Biological Domains describes the challenges in high-throughput biology areas and emerging computational approaches for representation, integration and organization, analysis, and interpretation of this data with the overall goal of producing and managing new knowledge. The authors provide systematic management tools for high-dimensional data in high-throughput biology, discuss systems biology and integrative computation biology, and describe state-of-the-art data generation and computational analysis approaches. The book covers key application areas in genomics, mass spectrometry and proteomics, and protein crystallization. Full Product DetailsAuthor: Igor Jurisica , Dennis WiglePublisher: Taylor & Francis Inc Imprint: Chapman & Hall/CRC Dimensions: Width: 15.60cm , Height: 2.40cm , Length: 23.40cm Weight: 0.635kg ISBN: 9781584884392ISBN 10: 1584884398 Pages: 360 Publication Date: 02 September 2005 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsIntroduction. Knowledge Management. Current Status and Future Perspectives of Mass Spectrometry. Graph Theory Analysis of Protein--Protein Interactions. HTP Protein Crystallization Approaches. Integration of Diverse Data, Algorithms, and Domains. From High-Throughput to Systems Biology. References.ReviewsAuthor InformationJurisica, Igor; Wigle, Dennis Tab Content 6Author Website:Countries AvailableAll regions |