Biological database modeling
著者
書誌事項
Biological database modeling
（Artec House series bioinformatics and biomedial imaging / Stephen T. C. Wong [and] Guang-Zhong Yang, series editors）
Artech House, c2008
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注記
Includes bibliographical references and index
HTTP:URL=http://www.loc.gov/catdir/toc/fy0803/2008296005.html Information=Table of contents
内容説明・目次
内容説明
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.
目次
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. Model Driven Drug Discovery: Principles and Practices. Information Management and Interaction in High-Throughput Screening for Drug Discovery.
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