Article Abstract

Volume 28, No. (6), 2018 (December)
INCORPORATING POPULATION GENETICS SIMULATORS IN SCIENTIFIC PLATFORM FOR CLOUD
Rabia Shahid , Muhammad Kashif Hanif , Wesley Brewer , Ramzan Talib , Omar Hayat
1* 2 1 1 Rabia Shahid, Muhammad Kashif Hanif, Wesley Brewer, Ramzan Talib, Omar Hayat
1 Department of Computer Science, Government College University, Faisalabad, Pakistan
2 Department of Computer Science, Pyongyang University of Science and Technology, Korea
Corresponding Author: mkashifhanif@gcuf.edu.pk
DOI: NA
Page Number(s): 1868-1880
Published Online First: December 01, 2018
Publication Date: December 01, 2018
ABSTRACT
Geneticists employ wide range of simulation programs for the analysis of genomic dataset. Main difficulties are to deal which include complex user interface, limited hardware capacity, complex software design, and analyzing diverse genomes. Forward time population genetics is powerful technique to identify gene underlying traits or mutations of interest. In this work, population genetics simulators Mendels Accountant and Nemo are integrated in a cloud computing environment. Wolbachia was used for platform testing. Computational analysis of Wolbachia was performed to highlight the factors that associated with prevention of arboviral diseases. Cloud computing paradigm increasingly
Keywords: Cloud computing, Population genetics, Mendels Accountant, Nemo, Wolbaciah, Arboviral diseases.
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Journal Impact Factor: 0.5

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Print ISSN: 1018-7081

Electronic ISSN: 2309-8694

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