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Comparative Study between Molecular and Genetic Evolutionary Analysis Tools Using African SARS-CoV-2 Variants

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Comparative Study between Molecular and Genetic Evolutionary Analysis Tools Using African SARS-CoV-2 Variants

Our Team. Lead: Nouhaila En najih, Awe Olaitan, Marion Nyaboke Nyamari- Writers: Latifah Benta Mukanga

Abstract

Phylogenetic analysis is considered to be a highly reliable and important bioinformatics tool. Currently we have many phylogenetic tools that biologists can use to interpret and visualize biological data. However, most of these tools require a lot of expertise and technical know-how for one to be able to use them. In this study, African SARS-CoV-2 Variants are used to compare three phylogenetic tools (MEGA, SeaView and Geneious) in terms of their ease of use, output and accessibility.

Methods

Data Collection

The SARS CoV 2 complete genome sequences from different countries in the South African region were retrieved from the NCBI Virus repository (www.ncbi.nlm.nih.gov, n.d.) in fasta format.

Data Preprocessing

GeneralWorkflow

Phylogenetic Analysis

MEGA

MEGA11 is available for Microsoft Windows, Linux, and macOS in natively developed graphical user interface and command-line versions at www.megasoftware.net. Both 32- and 64-bit versions of MEGA are available for download.

MEGAWorkflow

SEAVIEW

SeaView workflow manager can be installed on Microsoft Windows,Mac OS X,Linux and Solaris through http://doua.prabi.fr/software/seaview.

SEAVIEWWorkflow

GENEIOUS

GENEIOUSWorkflow

Results

Results

Team

  • Olaitan I. Awe, African Society for Bioinformatics and Computational Biology, [email protected]
  • Nouhaila En najih, Systems and Data Engineering team, National School of Applied Sciences, Abdelmalek Essaadi University,Tangier, Morocco, [email protected]
  • Marion Nyaboke Nyamari, School of Pure and Applied Sciences, Pwani University, Kenya, [email protected]
  • Latifah Benta, Department of Life Sciences, South Eastern Kenya University, Kitui,Kenya, [email protected]

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Comparative Study between Molecular and Genetic Evolutionary Analysis Tools Using African SARS-CoV-2 Variants

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