Bioinformatics Computing

The complete, practical guide to bioinformatics for molecular biologists and life scientists

• Gives an overview of bioinformatics from a computer science perspective
• Makes the computer science aspects of bioinformatics more understandable for life scientists.
• Presents a ready reference for current and future online and standalone tools

In Bioinformatics Computing, Harvard Medical School and MIT faculty member Bryan Bergeron presents a comprehensive and practical guide to bioinformatics for life scientists at every level of training and practice. After an up-to-the-minute overview of the entire field, he illuminates every key bioinformatics technology, offering practical insights into the full range of bioinformatics applications-both new and emerging. Coverage includes:

• Technologies that enable researchers to collaborate more effectively
• Fundamental concepts, state-of-the-art tools, and "on the horizon" advances
• Bioinformatics information infrastructure, including GENBANK and other Web-based resources
• Very large biological databases: object-oriented database methods, data mining/warehousing, knowledge management, and more
• 3D visualization: exploring the inner workings of complex biological structures
• Advanced pattern matching techniques, including microarray research and gene prediction
• Event-driven, time-driven, and hybrid simulation techniques

Bioinformatics Computing combines practical insight for assessing bioinformatics technologies, practical guidance for using them effectively, and intelligent context for understanding their rapidly evolving roles.

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Table of Contents

Preface.


Acknowledgments.


1. The Central Dogma.