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Reseach Article

Life Science Applications in Grid Environment

Published on February 2013 by C. Murugananthi, D. Ramyachitra
International Conference on Research Trends in Computer Technologies 2013
Foundation of Computer Science USA
ICRTCT - Number 3
February 2013
Authors: C. Murugananthi, D. Ramyachitra
cc302af5-9156-4956-87c9-b180efc969ce

C. Murugananthi, D. Ramyachitra . Life Science Applications in Grid Environment. International Conference on Research Trends in Computer Technologies 2013. ICRTCT, 3 (February 2013), 1-5.

@article{
author = { C. Murugananthi, D. Ramyachitra },
title = { Life Science Applications in Grid Environment },
journal = { International Conference on Research Trends in Computer Technologies 2013 },
issue_date = { February 2013 },
volume = { ICRTCT },
number = { 3 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 1-5 },
numpages = 5,
url = { /proceedings/icrtct/number3/10815-1028/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Research Trends in Computer Technologies 2013
%A C. Murugananthi
%A D. Ramyachitra
%T Life Science Applications in Grid Environment
%J International Conference on Research Trends in Computer Technologies 2013
%@ 0975-8887
%V ICRTCT
%N 3
%P 1-5
%D 2013
%I International Journal of Computer Applications
Abstract

Grid Computing is a high performance computing infrastructure with large-scale pooling of resources that may be processing cycles, data or storage that allows sharing of various distributed resources across many administrative domains and used to solve large scale computational problems. In the grid environment, users can access the resources without knowing where they are physically located. Grid Computing has its applications in various areas such as science, finance, business, health care, government etc. This study provides the various disciplines within the life science area that uses grid computing to solve complex problems.

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Index Terms

Computer Science
Information Sciences

Keywords

Grid Computing Life Science Bioinformatics Healthcare Proteomics Genomics