INCORPORATING POPULATION GENETICS SIMULATORS IN SCIENTIFIC PLATFORM FOR CLOUD

Authors: Rabia Shahid, Muhammad Kashif Hanif, Wesley Brewer, Ramzan Talib, Omar Hayat
Journal: Journal of Animal and Plant Sciences (JAPS)
ISSN: 1018-7081 (Print), 2309-8694 (Online)
Volume: 28  Issue: 6  Pages: 1868-1880
Year: 2018
DOI: NA
URL: https://doi.org/NA
Publisher: Pakistan Agricultural Scientists Forum

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.