Parallel Computing for Bioinformatics and Computational Biology 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Parallel Computing for Bioinformatics and Computational Biology

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Zomaya, Albert Y. 編 作者
Wiley-Interscience
譯者
2006-04-21 出版日期
816 頁數
USD 125.00 價格
Hardcover
叢書系列
9780471718482 圖書編碼

Parallel Computing for Bioinformatics and Computational Biology 在線電子書 圖書標籤: 計算機  計算  for  and  Parallel  Computing  Computational  Biology   


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Parallel Computing for Bioinformatics and Computational Biology 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Parallel Computing for Bioinformatics and Computational Biology 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Parallel Computing for Bioinformatics and Computational Biology 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Parallel Computing for Bioinformatics and Computational Biology 在線電子書 著者簡介


Parallel Computing for Bioinformatics and Computational Biology 在線電子書 著者簡介


Parallel Computing for Bioinformatics and Computational Biology 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Parallel Computing for Bioinformatics and Computational Biology 在線電子書 圖書描述

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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