Parallel Computing for Bioinformatics and Computational Biology:...

Features

• Cover Type: Hard Cover with 816 pages
• Published by: Wiley-Interscience April 21, 2006
• Written in: English
• ISBN 10 Number: 0471718483
• ISBN 13 Number: 978-0471718482
• Book Dimensions: 9.3 x 6.2 x 1.7 inches
• Weighs: 2.8 pounds

Product Review
"…clearly written and understandable…researchers and students in the related areas will find the style and format familiar and the content valuable." (E-STREAMS, September 2007)

"…a building block on computational biology concepts to help researchers and students work on more innovative ideas." (IEEE Distributed Systems Online, March 2007)

"…a good overview of the current state of computing in these areas." (CHOICE, November 2006)

"…this book presents researchers in computational biology, bioinformatics, mathematics, statistics, and computer science with the opportunity to explore this interdisciplinary research area…" (Computing Reviews.com, September 27, 2006)

Product Description
Discover how to streamline complex bioinformatics applications with parallel computing


This publication enables readers to handle more complex bioinformatics applications and greater and richer data sets. As the editor clearly shows, using powerful parallel computing tools can lead to significant breakthroughs in deciphering genomes, understanding genetic disease, designing customized drug therapies, and understanding evolution.

A broad range of bioinformatics applications is covered with demonstrations on how each one can be parallelized to improve performance and gain faster rates of computation. Current parallel computing techniques and technologies are examined, including distributed computing and grid computing. Readers are provided with a mixture of algorithms, experiments, and simulations that provide not only qualitative but also quantitative insights into the dynamic field of bioinformatics.

Parallel Computing for Bioinformatics and Computational Biology is a contributed work that serves as a repository of case studies, collectively demonstrating how parallel computing streamlines difficult problems in bioinformatics and produces better results. Each of the chapters is authored by an established expert in the field and carefully edited to ensure a consistent approach and high standard throughout the publication.

The work is organized into five parts:
* Algorithms and models
* Sequence analysis and microarrays
* Phylogenetics
* Protein folding
* Platforms and enabling technologies

Researchers, educators, and students in the field of bioinformatics will discover how high-performance computing can enable them to handle more complex data sets, gain deeper insights, and make new discoveries.