Bioinformatics computing

Chapter 1. The Central Dogma The Killer Application Parallel Universes Watson's Definition Top-Down Versus Bottom-Up Information Flow Convergence Endnote Chapter 2. Databases Definitions Data Management Data Life Cycle Database Technology Interfaces Implementation Endnote Chapter 3. Networks Geographical Scope Communications Models Transmissions Technology Protocols Bandwidth Topology Hardware Contents Security Ownership Implementation Management On the Horizon Endnote Chapter 4. Search Engines The Search Process Search Engine Technology Searching and Information Theory Computational Methods Search Engines and Knowledge Management On the Horizon Endnote Chapter 5. Data Visualization Sequence Visualization Structure Visualization User Interface Animation Versus Simulation General-Purpose Technologies On the Horizon Endnote Chapter 6. Statistics Statistical Concepts Microarrays Imperfect Data Basics Quantifying Randomness Data Analysis Tool Selection Statistics of Alignment Clustering and Classification On the Horizon Endnote Chapter 7. Data Mining Methods Technology Overview Infrastructure Pattern Recognition and Discovery Machine Learning Text Mining Tools On the Horizon Endnote Chapter 8. Pattern Matching Fundamentals Dot Matrix Analysis Substitution Matrices Dynamic Programming Word Methods Bayesian Methods Multiple Sequence Alignment Tools On the Horizon Endnote Chapter 9. Modeling and Simulation Drug Discovery Fundamentals Protein Structure Systems Biology Tools On the Horizon Endnote Chapter 10. Collaboration Collaboration and Communications Standards Issues On the Horizon Endnote Bibliography Chapter One—The Central Dogma Chapter Two—Databases Chapter Three—Networks Chapter Four—Search Engines Chapter Five—Data Visualization Chapter Six—Statistics Chapter Seven—Data Mining Chapter Eight—Pattern Matching Chapter Nine—Modeling and Simulation Chapter Ten—Collaboration Index