Comparative study between molecular and genetic evolutionary analysis tools using African SARS-CoV-2 variants

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dc.contributor.author Awe, Olaitan I.
dc.contributor.author En najih, Nouhaila
dc.contributor.author Nyamari, Marion N.
dc.contributor.author Mukanga, Latifah B.
dc.date.accessioned 2026-03-10T07:58:11Z
dc.date.available 2026-03-10T07:58:11Z
dc.date.issued 2023
dc.identifier.citation Informatics in medicine unlocked, volume 36, 101143, 2023 en_US
dc.identifier.issn 2352-9148
dc.identifier.uri https://www.sciencedirect.com/science/article/pii/S2352914822002805
dc.identifier.uri https://repository.seku.ac.ke/handle/123456789/8285
dc.description https://doi.org/10.1016/j.imu.2022.101143 en_US
dc.description.abstract Phylogenetic analysis is one of the most reliable and important analyses in bioinformatics. Currently, many phylogenetic analysis tools can be used for the visualization and interpretation of biological data. However, a lot of technical expertise is required in order to use these tools. It is challenging for biologists to have to deal with this issue. This study therefore compared three multipurpose phylogenetic analysis tools and informed on their features so as to help the user choose the appropriate tool for their research and resources, especially those who want to do research in bioinformatics in Africa. Phylogenetic analysis was done on whole genome sequences obtained from NCBI repositories using MEGA, SeaView and Geneious separately. Subsequently, a detailed comparison table based on features for each tool was generated. What makes our study unique is that we used the African SARS-CoV-2 genomes which have rarely been used for studies describing the evolution of coronaviruses. After the benchmarking, we recommend tools based on the user’s resources and objectives. MEGA and SeaView would be the best option for a researcher with no technical bioinformatics knowledge and looking for a free tool. Geneious is as easy to use as MEGA and SeaView, and it additionally gives more options and information. On the other hand, it requires a lot of time and it is not free to use. We have highlighted the relevant molecular and genetic evolutionary analysis tool based on the user’s resources. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject SARS-CoV-2 en_US
dc.subject phylogenetic analysis en_US
dc.subject MEGA en_US
dc.subject seaview en_US
dc.subject geneious en_US
dc.title Comparative study between molecular and genetic evolutionary analysis tools using African SARS-CoV-2 variants en_US
dc.type Article en_US


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