NLU Meghalaya Library

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Parallel computing for bioinformatics and computational biology : models, enabling technologies, and case studies /

Parallel computing for bioinformatics and computational biology : models, enabling technologies, and case studies / edited by Albert Y. Zomaya. - Hoboken, N.J. : Wiley-Interscience, �2006. - 1 online resource (xxix, 782 pages) : illustrations

Includes bibliographical references and index.

Parallel and evolutionary approaches to computational biology / Parallel Monte Carlo simulation of HIV molecular evolution in response to immune surveillance / Differential evolutionary algorithms for in vivo dynamic analysis of glycolysis and pentose phosphate pathway in Escherichia coli / Compute-intensive simulations for cellular models / Parallel computation in simulating diffusion and deformation in human brain / Computational molecular biology / Special-purpose computing for biological sequence analysis / Multiple sequence alignment in parallel on a cluster of workstations / Searching sequence databases using high performance BLASTs / Parallel implementations of local sequence alignment: hardware and software / Parallel computing in the analysis of gene expression relationships / Parallel algorithms for solving the fragment assembly problem in DNA strands / A cooperative genetic algorithm for knowledge discovery in microarray experiments / Parallel and distributed computation of large phylogenetic trees / Phylogenetic parameter estimation on COWs / High-performance phylogeny reconstruction under maximum parsimony / Protein folding with the parallel replica exchange molecular dynamics method / High performance alignment methods for protein threading / Parallel evolutionary computations in discerning protein structures / A brief Overview of Grid activities for bioinformatics and health applications / Parallel algorithms for bioinformatics / Cluster and grid infrastructure for computational chemistry and biochemistry / Distributed workflows in bioinformatics / Molecular structure determination on a computational and data grid / GIPSY : a problem solving environment for bioinformatics applications / TaskSpaces : a software framework for parallel bioinformatics on computational grids / The organic grid : self-organizing computation on desktop grids / FPGA Computing in modern bioinformatics / Virtual microscopy : distributed image storage, retrieval, analysis, and visualization / Nouhad Rizk -- Jack da Silva -- Andrei Doncescu -- Kevin Burrage -- Jun Zhang -- Azzedine Boukerche -- Bertil Schmidt -- Amitava Datta -- Xue Wu -- Vipin Chaudhary -- Robert Martino -- Enrique Alba -- Mohammad Khabzaoui -- Alexandros P. Stamatakis -- Ekkehard Petzold -- Tiffani Williams -- Ruhong Zhou -- R. Andonov -- Richard O. Day -- Ali Al Mazari -- Shahid H. Bokhari -- Kim K. Baldridge -- Arun Krishnan -- Russ Miller -- Rajendra R. Joshi -- Hans De Sterck -- Arjav J. Chakrvarti -- H. Simmler -- T. Pan.

Parallel Computing for Bioinformatics is the first book to deal with the topic of parallel computing and bioinformatics. Written by renowned experts and well-reputed researchers in this emerging field, it provides an opportunity for researchers to explore the rich and complex subject of?Bioinformatics?

0471756490 9780471756491 1280462701 9781280462702

10.1002/0471756504 doi

110527839 Wiley InterScience http://www3.interscience.wiley.com 0B654273-3492-4158-A7F0-3474811B76F7 OverDrive, Inc. http://www.overdrive.com


Bioinformatics.
Computational biology.
Parallel processing (Electronic computers)
Computational Biology
Computing Methodologies
Bio-informatique.
Parall�elisme (Informatique)
COMPUTERS--Bioinformatics.
Bioinformatics
Computational biology
Parallel processing (Electronic computers)

QH324.2 / .P37 2006eb

572.8/0285

2006 H-883 QU 26.5 / P229 2006