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Database Modeling in Computational Biology

Database Modeling in Computational Biology (Hardback)

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Modern biological research in areas like drug discovery produces a staggering volume of data, and the right modeling tools can help scientists apply it in ways never before imaginable. This collection of next-generation biodata modeling techniques combines innovative concepts, methods, and applications with case studies in genome, microarray, proteomics, and drug discovery projects to help bioinformatics professionals develop ever-more powerful data management systems in any domain. Breaking new ground at the intersection of life sciences and data management, the book introduces practitioners to core biodata modeling techniques, biological database resources, and ontology concepts. It explains the latest envelope-pushing methods and software applications for processing, integrating, and managing biodata.

Computing & ITDatabasesData capture & analysisComputing & ITDatabasesDatabase design & theoryRelational databasesComputing & ITDatabasesDistributed databasesComputing & ITDatabasesObject-oriented databasesScience & MathematicsBiology, life sciences Publisher: Artech House Publishers Publication Date: 01/11/2007 ISBN-13: 9781596932586  Details: Type: Hardback Format: Books
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Jake Chen is an assistant professor in the School of Informatics at Indiana University and an assistant professor of computer science at Purdue University. He received his Ph.D. in computer science from the University of Minnesota. Amandeep S. Sidhu is a senior researcher at the University of Technology in Sydney, Australia. He is a leading expert in the area of protein informatics.

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