PostGenome Bio Data Management: Modeling and Applications
by Jake Chen
Morden biological resereach 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 collectionof next-generation biodata modeling techiques combines innovative concepts, methods, and applications with case studies in genome, microarry, proteomics, adn drug
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Morden biological resereach 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 collectionof next-generation biodata modeling techiques combines innovative concepts, methods, and applications with case studies in genome, microarry, proteomics, adn 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, adn ontology concepts. It explains the latest envelope-pushing methods and software applications for processing, integrating, and managing biodata.
Product Details
- ISBN-13:
- 9781596932586
- Publisher:
- Artech House, Incorporated
- Publication date:
- 10/31/2007
- Edition description:
- New Edition
- Pages:
- 224
- Product dimensions:
- 7.10(w) x 10.20(h) x 0.70(d)
Table of Contents
Introduction. Public Biological Databases For Omics Studies in Medicine. Fundamentals of Gene Ontology. Protein Ontology. Information Quality Management Challenges for High-Throughput Data. Data Management for Fungal Genomics: An Experience Report. Microarray Data Management. Data Management in Expression-Based Proteomics. Model Driven Drug Discovery: Principles and Practices. Information Management and Interaction in High-Throughput Screening for Drug Discovery. Modeling Concepts and Database Implementation Techniques for Complex Biological Data.
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