http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Knowledge 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 book covers key application areas in genomics, mass spectrometry and proteomics, and protein crystallization. It provides systematic management tools and state-of-the-art data generation and computational analysis approaches.
Book Cover; Half-Title; Series Title; Title; Copyright; Contents; List of Tables; List of Figures; Symbol Description; Preface; Acknowledgments; Contributing Authors; 1. Introduction; 2. Knowledge Management; 3. Current Status and Future Perspectives of Mass Spectrometry; 4. Graph Theory Analysis of Protein-Protein Interactions; 5. HTP Protein Crystallization Approaches; 6. Integration of Diverse Data, Algorithms, and Domains; 7. From High-Throughput to Systems Biology; References; Index.
Includes bibliographical references (pages 259-307) and index.
Boca Raton, FL : Chapman & Hall/CRC Press, 2006
Chapman & Hall/CRC mathematical biology and medicine series