Title: MEGA biocentric software for sequence and phylogenetic analysis: a review

Authors: Vipan Kumar Sohpal, Apurba Dey, Amarpal Singh

Addresses: Department of Chemical and Biotechnology, Beant College of Engineering and Technology, Gurdaspur, Punjab 143521, India. ' Department of Biotechnology, National Institute of Technology, Durgapur, West Bengal 713209, India. ' Department of Electronics and Communication Engineering, Beant College of Engineering and Technology, Gurdaspur, Punjab 143521, India

Abstract: Biocomputing has moved into central position in molecular biology research. Enormous improvements in genetic engineering have led to the accumulation of a vast amount of biological information. With the advent of this extensive repertoire of raw sequence information, the next major challenge for a modern researcher is to interpret this biological information. Molecular Evolutionary Genetic Analysis (MEGA) is bio-computational software to fill the vacuum between data development and analysis. In this paper, an attempt to review the evolution of MEGA software, working and application has been made. Moreover, data analysis, implementation and advantages over other bioinformatics software have been discussed systematically.

Keywords: biocomputing; molecular biology; bioinformatics software; alignment; MEGA; molecular evolutionary genetic analysis; sequence analysis; phylogenetic analysis.

DOI: 10.1504/IJBRA.2010.034072

International Journal of Bioinformatics Research and Applications, 2010 Vol.6 No.3, pp.230 - 240

Received: 03 Feb 2009
Accepted: 28 Sep 2009
Published online: 07 Jul 2010 *

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