Parallel Computing for Bioinformatics and Computational Biology - Models. Enabling Technologies, and Case Studies

Szerző: Albert Y. Zomaya

Nyelv:

Kötés: Kemény kötésű

Kiadó: John Wiley & Sons Inc

Elérhetőség: Beszállítói készleten

Küldés 14-20 napon belül

70 373 Ft

Discover how to streamline complex bioinformatics applications with parallel computing This publicat...

Információk a könyvről

Szerző

Albert Y. Zomaya

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2006

oldal

816

EAN

9780471718482

ISBN

0471718483

Enbook ID

04893335

Kiadó

John Wiley & Sons Inc

Súly

1288

Méretek

163 x 242 x 43

Teljes leírás

Discover how to streamline complex bioinformatics applications with parallel computing This publication enables readers to handle more complex bioinformatics applications and larger 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.

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Parallel Computing for Bioinformatics and Computational Biology - Models. Enabling Technologies, and Case Studies

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