Incorporating population genetics simulators in scientific platform for cloud

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

Research output: Contribution to journalArticlepeer-review

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 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.

Original languageEnglish
Pages (from-to)1868-1880
Number of pages13
JournalJournal of Animal and Plant Sciences
Volume28
Issue number6
StatePublished - Dec 1 2018
Externally publishedYes

Keywords

  • Arboviral diseases
  • Cloud computing
  • Mendel’s accountant
  • Nemo
  • Population genetics
  • Wolbachia

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