E-raamat: Grid Computing for Bioinformatics and Computational Biology [Wiley Online]

The purpose of this reference work is to offer up-to-date information on grid issues for the bioinformatics and computational biology communities. The book provides details on modern and ongoing research on grid applications and is organized in two categories: grid platforms and grid algorithms. It also offers software frameworks and libraries that incorporate bioinformatics and computational biology applications. The intended audience is primarily in research, development, and industrial fields such as pharmaceuticals and biotechnology. Editors Talbi (computer science, U. de Lille) and Zomaya (information technologies, U. of Sydney) also note that the book would be useful as a text for undergraduate and graduate level courses in bioinformatics and grid computing. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com)

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:
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Bio-ontology and data mining
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Data visualization
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DNA assembly, clustering, and mapping
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Molecular evolution and phylogeny
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Gene expression and micro-arrays
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Molecular modeling and simulation
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Sequence search and alignment
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Protein structure prediction
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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.