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vhcub (version 1.0.0)

Virus-Host Codon Usage Co-Adaptation Analysis

Description

Analyze the co-adaptation of codon usage between a virus and its host, calculate various codon usage bias measurements as: effective number of codons (ENc) Novembre (2002) , codon adaptation index (CAI) Sharp and Li (1987) , relative codon deoptimization index (RCDI) Puigb et al (2010) , similarity index (SiD) Zhou et al (2013) , synonymous codon usage orderliness (SCUO) Wan et al (2004) and, relative synonymous codon usage (RSCU) Sharp et al (1986) . Also, it provides a statistical dinucleotide over- and underrepresentation with three different models. Implement several methods for visualization of codon usage as ENc.GC3plot() and PR2.plot().

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Version

Install

install.packages('vhcub')

Monthly Downloads

144

Version

1.0.0

License

GPL-3

Maintainer

Ali Mostafa

Last Published

November 15th, 2019

Functions in vhcub (1.0.0)

fasta.read

Read fasta formate and convert it to data frame
dinuc.codon

Statistical dinucleotide over- and underrepresentation (codon model).
dinuc.syncodon

Statistical dinucleotide over- and underrepresentation (syncodon model).
dinuc.base

Statistical dinucleotide over- and underrepresentation (base model).
vhcub

vhcub: A package to analysis the co-adaptation of codon usage between a virus and its host.
RCDI.values

Relative Codon Deoptimization Index (RCDI)
PR2.plot

Parity rule 2 (PR2) plot
SiD.value

Similarity Index (SiD)
GC.content

GC content
ENc.values

Effective Number of Codons (ENc).
RSCU.values

Relative Synonymous Codon Usage (RSCU)
CAI.values

Codon Adaptation Index (CAI)
ENc.GC3plot

ENc-GC3 scatterplot.
SCUO.values

Synonymous codon usage eorderliness (SCUO)