摘要
乙型肝炎病毒(HBV)感染是一种全球性的健康问题,并且每一种乙型肝炎病毒基因型都有各自的特点。选用10例感染者的乙型肝炎病毒序列来研究乙型肝炎病毒在序列层次下的进化关系和突变过程。首先使用分子进化遗传分析(MEGA)软件对乙型肝炎病毒序列进行多序列比对和系统进化分析,然后基于怀卡托智能分析环境(WEKA)软件对乙型肝炎病毒序列进行特征提取研究。结果表明:系统进化树可以准确预测7例乙型肝炎病毒患者的基因型,并且特征提取能够提高分类器的分类精度。
Hepatitis B Virus（HBV）infection is a global health problem and each HBV genotype has its unique feature. 10 patients HBV sequences are used to study the evolutionary relationship and the process of mutation base of HBV on the sequence level.Molecular Evolutionary Genetics Analysis（MEGA）software is firstly applied to make multiple sequence alignment and phylogenetic analysis for HBV sequences. Then, Waikato Environment for Knowledge Analysis（WEKA）software is applied to conduct feature selection for HBV sequence. The results show that the phylogenetic trees can accurately predict genotypes of 7 patients HBV sequences. Furthermore, feature selection can improve the accuracy of classifiers.
出处
《大理学院学报（综合版）》
CAS
2015年第12期43-46,共4页
Journal of Dali University
基金
云南省应用基础研究计划项目(2013FD038)
