Motif discovery and phylogenetic analysis of hepatitis B virus sequences
Date
2013
Authors
Zhang, Q.
Zhang, J.
Gao, J.
He, J.
Yan, X.
Ma, L.
Li, J.
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Conference paper
Citation
IFMBE proceedings, 2013, vol.39, pp.1268-1271
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World Congress on Medical Physics and Biomedical Engineering (26 May 2013 - 31 May 2013 : Beijing, China)
Abstract
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
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Copyright 2013 Springer