Phylogenetic Analysis of HIV-1 Genomes Based on the Position-Weighted K-mers Method.

Entropy (Basel)

Hunan Key Laboratory for Computation and Simulation in Science and Engineering and Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan 411105, China.

Published: February 2020

HIV-1 viruses, which are predominant in the family of HIV viruses, have strong pathogenicity and infectivity. They can evolve into many different variants in a very short time. In this study, we propose a new and effective alignment-free method for the phylogenetic analysis of HIV-1 viruses using complete genome sequences. Our method combines the position distribution information and the counts of the -mers together. We also propose a metric to determine the optimal value. We name our method the () method. Validation and comparison with the Robinson-Foulds distance method and the modified bootstrap method on a benchmark dataset show that our method is reliable for the phylogenetic analysis of HIV-1 viruses. can resolve within-group variations for different known subtypes of Group M of HIV-1 viruses. This method is simple and computationally fast for whole genome phylogenetic analysis.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516702PMC
http://dx.doi.org/10.3390/e22020255DOI Listing

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