CFP last date
20 December 2024
Reseach Article

A Study on Applications of Grid Computing in Bioinformatics

Published on None 2010 by Manjula.K.A, Dr.G.Raju
Computer Aided Soft Computing Techniques for Imaging and Biomedical Applications
Foundation of Computer Science USA
CASCT - Number 2
None 2010
Authors: Manjula.K.A, Dr.G.Raju
c718b5d9-e3a6-4ed1-95f3-d59e9d03a27b

Manjula.K.A, Dr.G.Raju . A Study on Applications of Grid Computing in Bioinformatics. Computer Aided Soft Computing Techniques for Imaging and Biomedical Applications. CASCT, 2 (None 2010), 69-72.

@article{
author = { Manjula.K.A, Dr.G.Raju },
title = { A Study on Applications of Grid Computing in Bioinformatics },
journal = { Computer Aided Soft Computing Techniques for Imaging and Biomedical Applications },
issue_date = { None 2010 },
volume = { CASCT },
number = { 2 },
month = { None },
year = { 2010 },
issn = 0975-8887,
pages = { 69-72 },
numpages = 4,
url = { /specialissues/casct/number2/1004-39/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Computer Aided Soft Computing Techniques for Imaging and Biomedical Applications
%A Manjula.K.A
%A Dr.G.Raju
%T A Study on Applications of Grid Computing in Bioinformatics
%J Computer Aided Soft Computing Techniques for Imaging and Biomedical Applications
%@ 0975-8887
%V CASCT
%N 2
%P 69-72
%D 2010
%I International Journal of Computer Applications
Abstract

Huge volume of biological data, which is heterogeneous, autonomous and dynamic in nature, is being produced at a rapid pace throughout the community. Along with the increase in biological data, many tools are being designed to analyze them by different research groups. Integration of these biological data and tools is becoming one of the major topics in the bioinformatics community. Grid computing is emerging as a key infrastructure for a wide range of disciplines for resource sharing and collaboration over wide and open networks. Provided with fundamental mechanisms of access to distributed databases and tools, the grid is an ideal candidate for the integration of bioinformatics applications.

References
  1. C. T. Yang, T. F. Han and H. C. Kan, “G-BLAST: a Grid-based solution for mpiBLAST on computational Grids”, Concurrency and Computation: Practice and Experience, vol. 21, no. 2, pp. 225-255, 2009.
  2. I. Foster, “What is the Grid? A Three Point Checklist”, July 20, 2002. Available: http://www.mcs.anl.gov/~itf/Articles/ WhatIsTheGrid.pdf.
  3. M. Rabb and C. Doninger, “Grid computing and SAS”, SAS Institute Inc.US, 2004, Avaliable: http://support.sas.com/rnd/ scalability/papers/101948_1204.pdf.
  4. P. Asadzadeh, R. Buyya1, C. L. Kei, D. Nayar, and S. Venugopal, “Global Grids and Software Toolkits: A Study of Four Grid Middleware Technologies”, Available: http://www.buyya.com/ papers/gmchapter.pdf.
  5. B. Fran, F. Geoffrey and H. Anthony, “Grid Computing : Making the Global Infrastructure a Reality”, Chichester : Wiley, 2003.
  6. J. H. Kaufman, T. J. Lehman, and J. Thomas, “Grid computing made simple”, The Industrial Physicist, pp 32-33, Aug- Sept 2003.
  7. R. Gupta, “Bio-Informatics,Bonding genes with IT”, in INDIACOM 2010, Jaipur, Feb 2010.
  8. BLAST, Available: http://blast.ncbi.nlm.nih.gov.
  9. J. Fox, “What is bioinformatics?”, The Science Creative Quarterly, Issue4, 2009.
  10. C.Blanchet, R. Mollon, D. Thain and G. Deleage, “Grid Deployment of Legacy Bioinformatics Applications with Transparent Data Access”, in 7th IEEE/ACM International Conference, Barcelona, pp 120-127, 28-29 Sept. 2006.
  11. Y. Sun, S. Zhao, H. Yu, G. Gao, and J. Luo, “ABCGrid: Application for Bioinformatics Computing Grid”, Bioinformatics, 23(9), pp 1175-1177, 2007.
  12. X. Gong, K. Nakamura, K. Yura and N. Go, “Toward Building Grid Applications in Bioinformatics”, in Fourth Australasian Symposium on Grid Computing and e-Research (AusGrid 2006), Hobart, Australia, 2006.
  13. J. Andrade, M. Andersen, A. Sillén, C.Graff and J.Odeberg, “The use of grid computing to drive data-intensive genetic research”, European Journal of Human Genetics, 15, 694–702, March 2007.
  14. Eurogrid, www.eurogrid.org
  15. APBiogrid, http:// www.apbionet.org/apbiogrid
  16. Mygrid, www.MyGrid.org.uk
  17. Ncbiogrid, www.ncbiogrid.org
  18. Singapore BioGrid, www.bic.nus.edu.sg/biogrid
Index Terms

Computer Science
Information Sciences

Keywords

Bioinformatics Grid Computing BioGrid