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Bioinformatics Approach for Molecular Evolution Research
分子系统发育分析的生物信息学方法

Keywords: Bioinformatics,Phylogcnctic analysis,Evolution of gene,Parsimony approach,Maximum likelihood approach,Neighbor joining approach
生物信息学
,系统发育分析,基因进化,最大简约法,最大似然法,邻接法

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Abstract:

The phylogeny inference among different species aims to reveal the evolutionary history of certain specics,as well as the evolutionary relationship among them,it is an essential branch in the today's research of science life. The progress in molecular biology supplies a large volume of data to the field of phylogeny inference, and the research of evolutionary relationship among different species at molecular level is receiving considerable attention. In the past decade,much progress in this area has been achieved by means of bioinformatics, and a variety of algorithms have been devised to reconstruct the phylogenetic tree of species. In this paper, the development of measuring the evolutionary distance and reconstructing algorithm for phylogeny were reviewed and commented, and the challenge of researchers in this field faced was then pointed out, in the end, perspectives in this realm were also proposed.

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