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

Autor: Albert Y. Zomaya

Język:

Oprawa: Twarda

Wydawca: John Wiley & Sons Inc

Dostępność: Dostępna u dostawcy

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

Informacje o książce

Autor

Albert Y. Zomaya

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2006

strony

816

EAN

9780471718482

ISBN

0471718483

Enbook ID

04893335

Wydawca

John Wiley & Sons Inc

Waga

1288

Wymiary

163 x 242 x 43

Pełny opis

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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