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vhcub: Virus-host codon usage co-adaptation analysis

Viruses show noticeable evolution to adapt and reproduce within their hosts. Theoretically, patterns and factors that affect the codon usage of viruses should reflect evolutionary changes that allow them to optimize their codon usage to their hosts. Some software tools can analyze the codon usage of...

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Detalles Bibliográficos
Autores principales: Anwar, Ali Mostafa, Soudy, Mohamed, Mohamed, Radwa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7104870/
https://www.ncbi.nlm.nih.gov/pubmed/32274012
http://dx.doi.org/10.12688/f1000research.21763.1
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author Anwar, Ali Mostafa
Soudy, Mohamed
Mohamed, Radwa
author_facet Anwar, Ali Mostafa
Soudy, Mohamed
Mohamed, Radwa
author_sort Anwar, Ali Mostafa
collection PubMed
description Viruses show noticeable evolution to adapt and reproduce within their hosts. Theoretically, patterns and factors that affect the codon usage of viruses should reflect evolutionary changes that allow them to optimize their codon usage to their hosts. Some software tools can analyze the codon usage of organisms; however, their performance has room for improvement, as these tools do not focus on examining the codon usage co-adaptation between viruses and their hosts. This paper describes the vhcub R package, which is a crucial tool used to analyze the co-adaptation of codon usage between a virus and its host, with several implementations of indices and plots. The tool is available from: https://cran.r-project.org/web/packages/vhcub/.
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spelling pubmed-71048702020-04-08 vhcub: Virus-host codon usage co-adaptation analysis Anwar, Ali Mostafa Soudy, Mohamed Mohamed, Radwa F1000Res Software Tool Article Viruses show noticeable evolution to adapt and reproduce within their hosts. Theoretically, patterns and factors that affect the codon usage of viruses should reflect evolutionary changes that allow them to optimize their codon usage to their hosts. Some software tools can analyze the codon usage of organisms; however, their performance has room for improvement, as these tools do not focus on examining the codon usage co-adaptation between viruses and their hosts. This paper describes the vhcub R package, which is a crucial tool used to analyze the co-adaptation of codon usage between a virus and its host, with several implementations of indices and plots. The tool is available from: https://cran.r-project.org/web/packages/vhcub/. F1000 Research Limited 2019-12-23 /pmc/articles/PMC7104870/ /pubmed/32274012 http://dx.doi.org/10.12688/f1000research.21763.1 Text en Copyright: © 2019 Anwar AM et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software Tool Article
Anwar, Ali Mostafa
Soudy, Mohamed
Mohamed, Radwa
vhcub: Virus-host codon usage co-adaptation analysis
title vhcub: Virus-host codon usage co-adaptation analysis
title_full vhcub: Virus-host codon usage co-adaptation analysis
title_fullStr vhcub: Virus-host codon usage co-adaptation analysis
title_full_unstemmed vhcub: Virus-host codon usage co-adaptation analysis
title_short vhcub: Virus-host codon usage co-adaptation analysis
title_sort vhcub: virus-host codon usage co-adaptation analysis
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7104870/
https://www.ncbi.nlm.nih.gov/pubmed/32274012
http://dx.doi.org/10.12688/f1000research.21763.1
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