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Bioinformatics Computing
Bryan Bergeron, M.D.

ISBN-10: 0131008250
ISBN-13:  9780131008250

Publisher:  Prentice Hall
Copyright:  2003
Format:  Paper; 439 pp
Published:  11/19/2002
Status: Out of Stock


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Description

Appropriate for all courses in bioinformatics, for molecular biology students at all levels.

The field of bioinformatics is growing at an unprecedented rate, as molecular biologists discover the extraordinary range of computational techniques and applications that apply directly to their work. Now, Harvard Medical School and MIT faculty member Bryan Bergeron has written a comprehensive, practical guide to bioinformatics for biology students at every level. Bergeron illuminates key advances in computer visualization, large database design, advanced pattern matching, machine learning, statistical methods, and distributed computing—and demonstrates exactly how these advances can be used to advance research into biological systems. Bergeron also identifies technologies and approaches on the near horizon that will have a significant impact on bioinformatics, and introduces the key global and societal issues most likely to shape bioinformatics in the coming years.


Features

A comprehensive introduction to computing techniques for Molecular Biologists

° Bioinformatics is an IT growth sector ($10.4 Billion in 2000, forecasted to $38 Billion

by 2006)

° Chapters on computing visualization, large database designs, advanced pattern

matching and other key bioinformatics techniques

° Bryan Bergeron is on the faculty at both Harvard Medical School and MIT


New To This Edition

  • Brings together all of the latest advances in computing for biological research—Including visualization, large database design, advanced pattern matching, statistical methods, distributed computing—and places these advances in context.

    • Provides a single source for students who want to understand the full field of bioinformatics, and choose the right tools and technologies for their own research.


Table of Contents



Preface.


Acknowledgments.


1. The Central Dogma.

The Killer Application. Parallel Universes. Watson's Definition. Top-Down Versus Bottom-Up. Information Flow. Convergence. Endnote.



2. Databases.

Definitions. Data Management. Data Life Cycle. Database Technology. Interfaces. Implementation. Endnote.



3. Networks.

Geographical Scope. Communications Models. Transmissions Technology. Protocols. Bandwidth. Topology. Hardware. Contents. Security. Ownership. Implementation. Management. On the Horizon. Endnote.



4. Search Engines.

The Search Process. Search Engine Technology. Searching and Information Theory. Computational Methods. Search Engines and Knowledge Management. On the Horizon. Endnote.



5. Data Visualization.

Sequence Visualization. Structure Visualization. User Interface. Animation Versus Simulation. General-Purpose Technologies. One the Horizon. Endnote.



6. Statistics.

Statistical Concepts. Microarrays. Imperfect Data. Basics. Quantifying Randomness. Data Analysis. Tool Selection. Statistics of Alignment. Clustering and Classification. On the Horizon. Endnote.



7. Data Mining.

Methods. Technology Overview. Infrastructure. Pattern Recognition and Discovery. Machine Learning. Text Mining. Tools. On the Horizon. Endnote.



8. Pattern Matching.

Fundamentals. Dot Matrix Analysis. Substitution Matrices. Dynamic Programming. Word Methods. Multiple Sequence Alignment. Tools. On the Horizon. Endnote.



9. Modeling and Simulation.

Drug Discovery. Fundamentals. Protein Structure. Systems Biology. Tools. On the Horizon. Endnote.



10. Collaboration.

Collaboration and Communications. Standards. Issues. On the Horizon. Endnote.



Bibliography.


Index.



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Author Bios

BRYAN BERGERON is a faculty member at both Harvard Medical School and MIT, Editor-in-Chief of e.MD, editorial board member of Healthcare Informatics, and Fellow of the American College of Medical Informatics. He has authored more than 300 publications on topics ranging from AI to computers in medicine.


Backcover Copy

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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For the Biology & Microbiology Discipline

Science, Evaluating Online Resources with Research Navigator
Payton, Stavney & Priest
©2004  |  Prentice Hall  |  Paper; 80 pp  |  Instock
ISBN-10: 0131136747  |  ISBN-13: 9780131136748
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