MEGA: A Bio Computational Software for Sequence and Phylogenetic Analysis

Abstract—In the last five years, Biocomputing has moved into central position in molecular biology research. Enormous improvements in genetic mapping and sequencing technology have led to the accumulation of vast amount of biological information in the database. 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. At the remarkable rate of progress that is being made in sequencing and phylogenetic organisms, wet research techniques alone cannot keep up with the influx of genomic information. Molecular Evolutionary Genetic Analysis (MEGA) is user friendly bio-computational software for sequence analysis and phylogenetic analysis. MEGA developed with the aim to bridge the gap between wet lab result and significance that can characterize by nucleotide and amino acid to produce scoring and evolutionary relationship. In this paper an attempt had been made to analysis the growth and evolution of MEGA software from MEGA1 to MEGA 4 and its advantages over other bioinformatics tool box.