Albert Y. Zomaya 
Parallel Computing for Bioinformatics and Computational Biology [PDF ebook] 
Models, Enabling Technologies, and Case Studies

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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