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ISSN: 2329-9002

Journal of Phylogenetics & Evolutionary Biology
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  • Review Article   
  • J Phylogenetics Evol Biol 2017, Vol 5(2): 183
  • DOI: 10.4172/2329-9002.1000183

MEGA - Core of Phylogenetic Analysis in Molecular Evolutionary Genetics

Nida Tabassum Khan*
Department of Biotechnology, Faculty of Life Sciences and Informatics, Balochistan University of Information Technology Engineering and Management Sciences (BUITEMS), Quetta, Pakistan
*Corresponding Author : Nida Tabassum Khan, Department of Biotechnology, Faculty of Life Sciences and Informatics, Balochistan University of Information Technology Engineering and Management Sciences (BUITEMS), Quetta, Pakistan, Tel: +923368164903, Email: [email protected]

Received Date: Jul 27, 2017 / Accepted Date: Sep 07, 2017 / Published Date: Sep 14, 2017

Abstract

Since due to tremendous advancement that is being made in sequencing and phylogenetic organisms, wet research techniques single-handedly cannot keep up with the influx of genomic information therefore need of bioinformatics tools such as MEGA is a need. It is user friendly bio-computational software for sequence analysis and phylogenetic tree construction for exploration evolutionary relationships among species or populations.

Keywords: Graphical user interface; Maximum parsimony; Character based methods

Citation: Khan NT (2017) MEGA - Core of Phylogenetic Analysis in Molecular Evolutionary Genetics. J Phylogenetics Evol Biol 5: 183. Doi: 10.4172/2329-9002.1000183

Copyright: © 2017 Khan NT. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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