Sohpal Vipan Kumar, Dey Apurba, Singh Amarpal
Department of Chemical and Biotechnology, Beant College of Engineering and Technology, Gurdaspur, Punjab 143521, India.
Int J Bioinform Res Appl. 2010;6(3):230-40. doi: 10.1504/IJBRA.2010.034072.
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.
生物计算已在分子生物学研究中占据核心地位。基因工程的巨大进步导致了大量生物信息的积累。随着如此大量原始序列信息库的出现,现代研究人员面临的下一个重大挑战是解读这些生物信息。分子进化遗传分析软件(MEGA)是一款生物计算软件,旨在填补数据开发与分析之间的空白。本文试图对MEGA软件的演变、工作原理及应用进行综述。此外,还系统地讨论了数据分析、该软件的应用以及与其他生物信息学软件相比的优势。