Incorporating Population Genetics Simulators in Scientific Platform for Cloud.

Rabia Shahid; Muhammad Kashif Hanif; Wesley Brewer; Ramzan Talib; Omar Hayat

Author(s)

Rabia Shahid Department of Computer Science, Government College University, Faisalabad, Pakistan

Muhammad Kashif Hanif Department of Computer Science, Government College University, Faisalabad, Pakistan

Wesley Brewer Department of Computer Science, Pyongyang University of Science and Technology, Korea

Ramzan Talib Department of Computer Science, Government College University, Faisalabad, Pakistan

Omar Hayat Department of Computer Science, Government College University, Faisalabad, Pakistan

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 analyzin g diverse genomes. Forward time population genetics is powerful technique to identify gene underlying traits or mutations of interest. In this work, population genetics simulators Mendel s 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.

Publication Details

Page(s) 1868-1880

DOI DOI not available

Published Journal: Journal of Animal and Plant sciences, Volume: 28, Issue: 6, Year: 2018

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