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Similarity Studies of Corona Viruses through Chaos Game Representation 被引量:1

Similarity Studies of Corona Viruses through Chaos Game Representation
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摘要 The novel coronavirus (SARS-COV-2) is generally referred to as Covid-19 virus has spread to 213 countries with nearly 7 million confirmed cases and nearly 400,000 deaths. Such major outbreaks demand classification and origin of the virus genomic sequence, for planning, containment, and treatment. Motivated by the above need, we report two alignment-free methods combing with CGR to perform clustering analysis and create a phylogenetic tree based on it. To each DNA sequence we associate a matrix then define distance between two DNA sequences to be the distance between their associated matrix. These methods are being used for phylogenetic analysis of coronavirus sequences. Our approach provides a powerful tool for analyzing and annotating genomes and their phylogenetic relationships. We also compare our tool to ClustalX algorithm which is one of the most popular alignment methods. Our alignment-free methods are shown to be capable of finding closest genetic relatives of coronaviruses. The novel coronavirus (SARS-COV-2) is generally referred to as Covid-19 virus has spread to 213 countries with nearly 7 million confirmed cases and nearly 400,000 deaths. Such major outbreaks demand classification and origin of the virus genomic sequence, for planning, containment, and treatment. Motivated by the above need, we report two alignment-free methods combing with CGR to perform clustering analysis and create a phylogenetic tree based on it. To each DNA sequence we associate a matrix then define distance between two DNA sequences to be the distance between their associated matrix. These methods are being used for phylogenetic analysis of coronavirus sequences. Our approach provides a powerful tool for analyzing and annotating genomes and their phylogenetic relationships. We also compare our tool to ClustalX algorithm which is one of the most popular alignment methods. Our alignment-free methods are shown to be capable of finding closest genetic relatives of coronaviruses.
作者 Dipendra C. Sengupta Matthew D. Hill Kevin R. Benton Hirendra N. Banerjee Dipendra C. Sengupta;Matthew D. Hill;Kevin R. Benton;Hirendra N. Banerjee(Department of Mathematics, Computer Science & Engineering Technology, Elizabeth City State University, Elizabeth City, North Carolina, USA;Department Natural Sciences, Elizabeth City State University, Elizabeth City, North Carolina, USA)
出处 《Computational Molecular Bioscience》 2020年第3期61-72,共12页 计算分子生物学(英文)
关键词 Covid-19 Chaos Game Representation Deoxyribonucleic Acid Phylogenetic Analysis Shannon Entropy Covid-19 Chaos Game Representation Deoxyribonucleic Acid Phylogenetic Analysis Shannon Entropy
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