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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Detalles bibliogr�ficos

T�tulo: Grid Computing for Bioinformatics and Computational Biology
Editor: John Wiley and Sons Inc, US
Fecha de publicaci�n: 2008
Idioma: Ingl�s
ISBN 10: 0471784095
ISBN 13: 9780471784098
Encuadernaci�n: Hardback
Estado: New

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Sinopsis

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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El-Ghazali Talbi, PhD, is a Full Professor in the Computer Science Laboratory at the Universit� de Lille, Centre National de la Recherche Scientifique, and Institut National de Recherche en Informatique et en Automatique in France. Dr. Talbi has contributed to numerous publications in international journals and conferences and has organized many workshops and sessions discussing parallel and distributed computing for bioinformatics.

Albert Y. Zomaya, PhD, is the CISCO Systems Chair Professor of Internet-working in the School of Information Technologies at the University of Sydney. He also serves as Deputy Director for the Sydney University Biological Informatics and Technology Center and is the author or coauthor of several books and publications.

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