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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2019
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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/. |
format | Online Article Text |
id | pubmed-7104870 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT anwaralimostafa vhcubvirushostcodonusagecoadaptationanalysis AT soudymohamed vhcubvirushostcodonusagecoadaptationanalysis AT mohamedradwa vhcubvirushostcodonusagecoadaptationanalysis |