Comprehensive, practical guide, covering key advances in computer visualization, large database design, advanced pattern matching, machine learning, statistical methods, and distributed computing. Demonstrates exactly how these advances can be used to advance research into biological systems. Identifies technologies and approaches on the near horizon that will have a significant impact on bioinformatics, and introduces the key global and societal issues most likely to shape bioinformatics in the coming years.
Preface. Acknowledgments. 1. The Central Dogma. The Killer Application. Parallel Universes. Watson's Definition. Top-Down Versus Bottom-Up. Information Flow. Convergence. Endnote. 2. Databases. Definitions. Data Management. Data Life Cycle. Database Technology. Interfaces. Implementation. Endnote. 3. Networks. Geographical Scope. Communications Models. Transmissions Technology. Protocols. Bandwidth. Topology. Hardware. Contents. Security. Ownership. Implementation. Management. On the Horizon. Endnote. 4. Search Engines. The Search Process. Search Engine Technology. Searching and Information Theory. Computational Methods. Search Engines and Knowledge Management. On the Horizon. Endnote. 5. Data Visualization. Sequence Visualization. Structure Visualization. User Interface. Animation Versus Simulation. General-Purpose Technologies. One the Horizon. Endnote. 6. Statistics. Statistical Concepts. Microarrays. Imperfect Data. Basics. Quantifying Randomness. Data Analysis. Tool Selection. Statistics of Alignment. Clustering and Classification. On the Horizon. Endnote. 7. Data Mining. Methods. Technology Overview. Infrastructure. Pattern Recognition and Discovery. Machine Learning. Text Mining. Tools. On the Horizon. Endnote. 8. Pattern Matching. Fundamentals. Dot Matrix Analysis. Substitution Matrices. Dynamic Programming. Word Methods. Multiple Sequence Alignment. Tools. On the Horizon. Endnote. 9. Modeling and Simulation. Drug Discovery. Fundamentals. Protein Structure. Systems Biology. Tools. On the Horizon. Endnote. 10. Collaboration. Collaboration and Communications. Standards. Issues. On the Horizon. Endnote. Bibliography. Index.
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BRYAN BERGERON is a faculty member at both Harvard Medical School and MIT, Editor-in-Chief of e.MD, editorial board member of Healthcare Informatics, and Fellow of the American College of Medical Informatics. He has authored more than 300 publications on topics ranging from AI to computers in medicine.