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vhcub: Virus-host codon usage co-adaptation analysis.

Ali Mostafa Anwar1, Mohamed Soudy2, Radwa Mohamed1

  • 1Department of Genetics, Faculty of Agriculture, Cairo University, Cairo, 12613, Egypt.

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|April 11, 2020
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Summary

This study introduces the vhcub R package to analyze virus-host codon usage co-adaptation. This tool helps understand viral evolution and host adaptation by examining codon patterns.

Keywords:
AdaptationCodon Usage BiasEvolutionNatural selectionRRStudioViruses

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Area of Science:

  • Virology
  • Computational Biology
  • Evolutionary Biology

Background:

  • Viruses evolve to optimize reproduction within hosts.
  • Codon usage patterns reflect viral adaptation and host-virus interactions.
  • Existing tools lack focus on virus-host codon usage co-adaptation.

Purpose of the Study:

  • To introduce the vhcub R package for analyzing virus-host codon usage co-adaptation.
  • To provide a tool for understanding evolutionary pressures on viral genomes.
  • To facilitate research on the intricate relationship between viral and host codon usage.

Main Methods:

  • Development of the vhcub R package.
  • Implementation of various indices and plotting functions for co-adaptation analysis.
  • Utilizing R for bioinformatics and statistical analysis of genomic data.

Main Results:

  • The vhcub package offers a specialized approach to codon usage analysis.
  • It enables detailed examination of co-adaptation patterns between viral and host genomes.
  • Provides novel visualizations and metrics for evolutionary insights.

Conclusions:

  • The vhcub R package is a valuable tool for studying virus-host co-evolution.
  • It addresses limitations in existing software for codon usage analysis.
  • Facilitates deeper understanding of viral adaptation strategies through codon usage.