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A Poisson model of sequence comparison and its application to coronavirus phylogeny
Xiaoqi Zheng1, Yufang Qin, Jun Wang
1Department of Applied Mathematics, Dalian University of Technology, Dalian 116024, People's Republic of China.
Abstract:
In this paper, we propose two metrics to compare DNA and protein sequences based on a Poisson model of word occurrences. Instead of comparing the frequencies of all fixed-length words in two sequences, we consider (1) the probability of 'generating' one sequence under the Poisson model estimated from the other; (2) their different expression levels of words. Phylogenetic trees of 25 viruses including SARS-CoVs are constructed to illustrate our approach.
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