Bioinformatics Computing

• 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.

Chapters on computing visualization, large database designs, advanced pattern matching and other key bioinformatics techniques.

Bioinformatics Computing is a practical guide to computing in the growing field of Bioinformatics (the study of how information is represented and transmitted in biological systems, starting at the molecular level). This book brings molecular biologists at every level - from students to research directors - up to speed in computational techniques that apply directly to their work. The molecular biology community needs a practical guide that illustrates the computer science advances that have been made in the past several decades in areas of computer visualization, large database designs, machine learning and other forms of advanced pattern matching, statistical methods, and distributed computing techniques. In addition to exploring general information technology issues, each chapter identifies technologies and approaches on the near horizon that will have a significant impact on bioinformatics, and introduces some of the global, societal issues that will likely define bioinformatics developments in the future.