Parallel Computing for Bioinformatics and Computational Biology
Models, Enabling Technologies, and Case Studies
By John Wiley & Sons | Publisher: Wiley
About the book
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.
Editions of Parallel Computing for Bioinformatics and Computational Biology
- Hardcover
- ISBN 9780471718482
- EBook
- ISBN 9780471756507
- EBook
- ISBN 9780471756491
Read an Excerpt
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.
Frequently Asked Questions
What is Parallel Computing for Bioinformatics and Computational Biology about?
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.
What core themes, tropes, or subjects are explored in Parallel Computing for Bioinformatics and Computational Biology?
Computing and Information Technology > Computer science
Where can I read a sample of Parallel Computing for Bioinformatics and Computational Biology?
You can read an official preview of the few pages here https://www.book2look.com/book/9780471718482
Is Parallel Computing for Bioinformatics and Computational Biology part of a series, and can it be read as a standalone?
Yes it is a part of series Wiley Series on Parallel and Distributed Computing
Who is/are the Author/s of the book Parallel Computing for Bioinformatics and Computational Biology?
John Wiley & Sons
Who is the Publisher of the book Parallel Computing for Bioinformatics and Computational Biology?
Wiley
What are the ISBN numbers for the physical and digital editions?
Parallel Computing for Bioinformatics and Computational Biology is available as hardcover(ISBN 9780471718482) and ebook(ISBN 9780471756507) and ebook(ISBN 9780471756491)
Where can I buy Parallel Computing for Bioinformatics and Computational Biology online or support local independent bookshops?
You can buy Parallel Computing for Bioinformatics and Computational Biology from below
Where can I buy Parallel Computing for Bioinformatics and Computational Biology?