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Survey on Various Applications of Hadoop in Bioinformatics

by Minerva Laishram
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 129 - Number 6
Year of Publication: 2015
Authors: Minerva Laishram
10.5120/ijca2015906929

Minerva Laishram . Survey on Various Applications of Hadoop in Bioinformatics. International Journal of Computer Applications. 129, 6 ( November 2015), 20-22. DOI=10.5120/ijca2015906929

@article{ 10.5120/ijca2015906929,
author = { Minerva Laishram },
title = { Survey on Various Applications of Hadoop in Bioinformatics },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 129 },
number = { 6 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 20-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume129/number6/23077-2015906929/ },
doi = { 10.5120/ijca2015906929 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:22:42.120837+05:30
%A Minerva Laishram
%T Survey on Various Applications of Hadoop in Bioinformatics
%J International Journal of Computer Applications
%@ 0975-8887
%V 129
%N 6
%P 20-22
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Apache Hadoop is an emerging technology that is widely used in the data intensive applications like Big Data Analysis. This technology is currently used in the searching applications of Google, Yahoo, and Amazon. But recently it is found that Hadoop is widely being used in the data analysis of genome sequences of Biosciences. Bioinformatics is the new field of science where the computer technology is used in studying the molecular biology. For example, Hadoop technology can be used in finding a particular genome sequence from a huge datasets of Genes in Genetics.

References
  1. “Exploiting High Performance on Bioinformatics Applications in a Cloud System”, Taylor N. Job and Jin H. Park, Proceedings of the World Congress on Engineering and Computer Science 2014 Vol II WCECS 2014, 22-24 October, 2014, San Francisco, USA.
  2. “CloudBLAST: Combining MapReduce and Virtualization on Distributed Resources for Bioinformatics Applications”, Andréa Matsunaga, Maurício Tsugawa and José Fortes Advanced Computing and Information Systems Laboratory Department of Electrical and Computer Engineering, University of Florida PO Box 116200, Gainesville, FL, 32611-6200, USA{ammatsun, tsugawa, fortes}@ufl.edu. Fourth IEEE International Conference on eScience.
  3. “CloudBurst: highly sensitive read mapping with MapReduce”, Michael C. Schatz∗ Center for Bioinformatics and Computational Biology, University of Maryland, College Park MD 20742, USA.
  4. “DRAW: A New Data-gRouping-AWare Data Placement Scheme for Data Intensive Applications With Interest Locality” Jun Wang, Qiangju Xiao, Jiangling Yin, and Pengju Shang. Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32826 USA, IEEE TRANSACTIONS ON MAGNETICS, VOL. 49, NO. 6, JUNE 2013.
  5. https://Hadoop.apache.org/
Index Terms

Computer Science
Information Sciences

Keywords

Interest Locality Data Groupings CloudBLAST Cloudburst

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