Bioinformatics Computing

Preface

Acknowledgments

1. The Central Dogma

2. Databases

3. Networks

4. Search Engines

5. Data Visualization

6. Statistics

7. Data Mining

8. Pattern Matching

9. Modeling and Simulation

10.Collaboration

Bibliography

Index

 

This text is a comprehensive practical guide to computing in the burgeoning field of bioinformatics. It is intended for students and professionals pursuing careers in the fields of bioengineering, molecular biology, and biotechnology, at all levels of their training and practice. Its goal is to provide readers with a roadmap to the diverse field of bioinformatics computing as well as in-depth information to serve as a valuable reference for readers already active in the bioinformatics field. After an up-to-the-minute overview of the entire field, the book identifies and describes specific information technologies in enough detail, offering practical insight into the full range of bioinformatics applications-both new and emerging. The most relevant areas covered-the ones that have direct bearing on research-include:

• 3D visualization: for exploring the inner workings of complex biological structures
• Very large biological databases; object-oriented database methods, data mining/warehousing, knowledge management, and more
• Advanced pattern matching techniques, including microarray research and gene prediction
• Statistical methods, and distributed computing techniques
• Event-driven, time-driven, and hybrid simulation techniques.

In the larger context, bioinformatics being an empowering technology, this book is designed to bring molecular biologists and bio-technologists up to speed in computational techniques that apply directly to their work.