Издательство Prentice Hall, 2002, -395 pp.
Bioinformatics Computing is a practical guide to computing in the burgeoning field of bioinformatics—the study of how information is represented and transmitted in biological systems, starting at the molecular level. This book, which is intended for molecular biologists at all levels of training and practice, assumes the reader is computer literate with modest computer skills, but has little or no formal computer science training. For example, the reader may be familiar with downloading bioinformatics data from the Web, using spreadsheets and other popular office automation tools, and/or working with commercial database and statistical analysis programs. It is helpful, but not necessary, for the reader to have some programming experience in BASIC, HTML, or C++.
1. The Central Dogma
. The Killer Application
. Parallel Universes
. Watson's Definition
. Top-Down Versus Bottom-Up
. Information Flow
. Convergence
2. Databases
. Definitions
. Data Management
. Data Life Cycle
. Database Technology
. Interfaces
. Implementation
3. Networks
. Geographical Scope
. Communications Models
. Transmissions Technology
. Protocols
. Bandwidth
. Topology
. Hardware
. Contents
. Security
. Ownership
. Implementation
. Management
. On the Horizon
4. Search Engines
. The Search Process
. Search Engine Technology
. Searching and Information Theory
. Computational Methods
. Search Engines and Knowledge Management
. On the Horizon
5. Data Visualization
. Sequence Visualization
. Structure Visualization
. User Interface
. Animation Versus Simulation
. General-Purpose Technologies
. On the Horizon
6. Statistics
. Statistical Concepts
. Microarrays
. Imperfect Data
. Basics
. Quantifying Randomness
. Data Analysis
. Tool Selection
. Statistics of Alignment
. Clustering and Classification
. On the Horizon
7. Data Mining
. Methods
. Technology Overview
. Infrastructure
. Patte Recognition and Discovery
. Machine Leaing
. Text Mining
. Tools
. On the Horizon
8. Patte Matching
. Fundamentals
. Dot Matrix Analysis
. Substitution Matrices
. Dynamic Programming
. Word Methods
. Bayesian Methods
. Multiple Sequence Alignment
. Tools
. On the Horizon
9. Modeling and Simulation
. Drug Discovery
. Fundamentals
. Protein Structure
. Systems Biology
. Tools
. On the Horizon
10. Collaboration
. Collaboration and Communications
. Standards
. Issues
. On the Horizon
Bioinformatics Computing is a practical guide to computing in the burgeoning field of bioinformatics—the study of how information is represented and transmitted in biological systems, starting at the molecular level. This book, which is intended for molecular biologists at all levels of training and practice, assumes the reader is computer literate with modest computer skills, but has little or no formal computer science training. For example, the reader may be familiar with downloading bioinformatics data from the Web, using spreadsheets and other popular office automation tools, and/or working with commercial database and statistical analysis programs. It is helpful, but not necessary, for the reader to have some programming experience in BASIC, HTML, or C++.
1. The Central Dogma
. The Killer Application
. Parallel Universes
. Watson's Definition
. Top-Down Versus Bottom-Up
. Information Flow
. Convergence
2. Databases
. Definitions
. Data Management
. Data Life Cycle
. Database Technology
. Interfaces
. Implementation
3. Networks
. Geographical Scope
. Communications Models
. Transmissions Technology
. Protocols
. Bandwidth
. Topology
. Hardware
. Contents
. Security
. Ownership
. Implementation
. Management
. On the Horizon
4. Search Engines
. The Search Process
. Search Engine Technology
. Searching and Information Theory
. Computational Methods
. Search Engines and Knowledge Management
. On the Horizon
5. Data Visualization
. Sequence Visualization
. Structure Visualization
. User Interface
. Animation Versus Simulation
. General-Purpose Technologies
. On the Horizon
6. Statistics
. Statistical Concepts
. Microarrays
. Imperfect Data
. Basics
. Quantifying Randomness
. Data Analysis
. Tool Selection
. Statistics of Alignment
. Clustering and Classification
. On the Horizon
7. Data Mining
. Methods
. Technology Overview
. Infrastructure
. Patte Recognition and Discovery
. Machine Leaing
. Text Mining
. Tools
. On the Horizon
8. Patte Matching
. Fundamentals
. Dot Matrix Analysis
. Substitution Matrices
. Dynamic Programming
. Word Methods
. Bayesian Methods
. Multiple Sequence Alignment
. Tools
. On the Horizon
9. Modeling and Simulation
. Drug Discovery
. Fundamentals
. Protein Structure
. Systems Biology
. Tools
. On the Horizon
10. Collaboration
. Collaboration and Communications
. Standards
. Issues
. On the Horizon