Parallel Computing for Bioinformatics and Computational Biology

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Release : 2006-04-21
Genre : Computers
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Book Rating : 483/5 ( reviews)

Parallel Computing for Bioinformatics and Computational Biology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Parallel Computing for Bioinformatics and Computational Biology write by Albert Y. Zomaya. This book was released on 2006-04-21. Parallel Computing for Bioinformatics and Computational Biology available in PDF, EPUB and Kindle. 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.

Parallel Computing for Bioinformatics and Computational Biology

Download Parallel Computing for Bioinformatics and Computational Biology PDF Online Free

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Release : 2006-04-14
Genre : Computers
Kind :
Book Rating : 490/5 ( reviews)

Parallel Computing for Bioinformatics and Computational Biology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Parallel Computing for Bioinformatics and Computational Biology write by Albert Y. Zomaya. This book was released on 2006-04-14. Parallel Computing for Bioinformatics and Computational Biology available in PDF, EPUB and Kindle. 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.

Bioinformatics

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Release : 2010-07-15
Genre : Computers
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Book Rating : 365/5 ( reviews)

Bioinformatics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bioinformatics write by Bertil Schmidt. This book was released on 2010-07-15. Bioinformatics available in PDF, EPUB and Kindle. New sequencing technologies have broken many experimental barriers to genome scale sequencing, leading to the extraction of huge quantities of sequence data. This expansion of biological databases established the need for new ways to harness and apply the astounding amount of available genomic information and convert it into substantive biological

Bioinformatics and Computational Biology Solutions Using R and Bioconductor

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Release : 2005-12-29
Genre : Computers
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Book Rating : 620/5 ( reviews)

Bioinformatics and Computational Biology Solutions Using R and Bioconductor - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bioinformatics and Computational Biology Solutions Using R and Bioconductor write by Robert Gentleman. This book was released on 2005-12-29. Bioinformatics and Computational Biology Solutions Using R and Bioconductor available in PDF, EPUB and Kindle. Full four-color book. Some of the editors created the Bioconductor project and Robert Gentleman is one of the two originators of R. All methods are illustrated with publicly available data, and a major section of the book is devoted to fully worked case studies. Code underlying all of the computations that are shown is made available on a companion website, and readers can reproduce every number, figure, and table on their own computers.

Grid Computing for Bioinformatics and Computational Biology

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Release : 2007-12-04
Genre : Computers
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Book Rating : 620/5 ( reviews)

Grid Computing for Bioinformatics and Computational Biology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Grid Computing for Bioinformatics and Computational Biology write by El-Ghazali Talbi. This book was released on 2007-12-04. Grid Computing for Bioinformatics and Computational Biology available in PDF, EPUB and Kindle. 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.