Grid Computing for Bioinformatics and Computational Biology
Aus der Reihe
Wiley Series in Bioinformatics
159,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
13.02.2008
Herausgeber
El-Ghazali Talbi + weitereVerlag
John Wiley & Sons IncSeitenzahl
400 (Printausgabe)
Dateigröße
11624 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9780470191620
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.
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.
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