Features
- Cover Type: Hard Cover with 392 pages
- Published by: Wiley-Interscience December 17, 2007
- Written in: English
- ISBN 10 Number: 0471784095
- ISBN 13 Number: 978-0471784098
-
Book Dimensions:
9.2 x 6.1 x 0.9 inches
- Weighs: 1.5 pounds
Product Description
The only single, up-to-date source for Grid issues in bioinformatics and biology
Bioinformatics is fast emerging as an important discipline for academic research and industrial applications, creating a need for the use of Grid computing techniques for large-scale distributed applications. This book successfully presents Grid algorithms and their real-world applications, provides details on modern and ongoing research, and explores
software frameworks that integrate bioinformatics and computational biology.
Additional coverage includes:
*
Bio-ontology and data mining
*
Data visualization
*
DNA assembly, clustering, and mapping
*
Molecular evolution and phylogeny
*
Gene expression and micro-arrays
*
Molecular modeling and simulation
*
Sequence search and alignment
*
Protein structure prediction
*
Grid infrastructure, middleware, and tools for bio data
Grid Computing for Bioinformatics and Computational Biology is an indispensable resource for professionals in several research and development communities including bioinformatics, computational biology, Grid computing, data mining, and more. It also serves as an ideal textbook for undergraduate- and graduate-level courses in bioinformatics and Grid computing.
Back Cover Copy
The only single, up-to-date source for Grid issues in bioinformatics and biology
Bioinformatics is fast emerging as an important discipline for academic research and industrial applications, creating a need for the use of Grid computing techniques for large-scale distributed applications. This book successfully presents Grid algorithms and their real-world applications, provides details on modern and ongoing research, and explores
software frameworks that integrate bioinformatics and computational biology.
Additional coverage includes:
Bio-ontology and data mining
Data visualization
DNA assembly, clustering, and mapping
Molecular evolution and phylogeny
Gene expression and micro-arrays
Molecular modeling and simulation
Sequence search and alignment
Protein structure prediction
Grid infrastructure, middleware, and tools for bio data
Grid Computing for Bioinformatics and Computational Biology is an indispensable resource for professionals in several research and development communities including bioinformatics, computational biology, Grid computing, data mining, and more. It also serves as an ideal textbook for undergraduate- and graduate-level courses in bioinformatics and Grid computing.
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