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Motif discovery and phylogenetic analysis of hepatitis B virus sequences

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机构： [a]Kunming University of Science and Technology, Cheng Gong Da Xue Cheng, Kunming, China [b]Institute of Basic Medicine, First People's Hospital of Yunnan Province, Kunming Medical College, Kunming, China

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关键词： Conserved index evolutionary relationship HBV Motif discovery Phylogenetic tree

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HBV (Hepatitis B Virus) infection is a severe global health problem. In recent years, mutations as an essential element in the HBV evolution have been extensively studied, however, the study of the conserved sequence for the evolution of HBV is still in its infancy. In this paper, we applied MEME (Multiple EM for Motif Elicitation) algorithm for motif discovery and proposed a new metric CI (Conserved Index) to make phylogenetic analysis of HBV sequences. Our results indicate that MEME can efficiently discover multiple motifs from HBV sequences and the new measurement CI for the conservative of sequences can effectively help us to build the phylogenetic tree. Thus, we can get evolutionary relationship of HBV sequence through the phylogenetic tree. © 2013 Springer-Verlag.

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第一作者机构： [a]Kunming University of Science and Technology, Cheng Gong Da Xue Cheng, Kunming, China

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通讯机构： [a]Kunming University of Science and Technology, Cheng Gong Da Xue Cheng, Kunming, China [*1]Kunming University of Science and T echnology Cheng Gong Da Xue Cheng Kunming China

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