Adaptation
Codon Usage Bias
Evolution
Natural selection
R
RStudio
Viruses
Journal
F1000Research
ISSN: 2046-1402
Titre abrégé: F1000Res
Pays: England
ID NLM: 101594320
Informations de publication
Date de publication:
2019
2019
Historique:
accepted:
18
12
2019
entrez:
11
4
2020
pubmed:
11
4
2020
medline:
2
6
2020
Statut:
epublish
Résumé
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
Identifiants
pubmed: 32274012
doi: 10.12688/f1000research.21763.1
pmc: PMC7104870
doi:
Substances chimiques
Codon
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2137Informations de copyright
Copyright: © 2019 Anwar AM et al.
Déclaration de conflit d'intérêts
No competing interests were disclosed.
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