vhcub: Virus-Host Codon Usage Co-Adaptation Analysis

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) <doi:10.1093/oxfordjournals.molbev.a004201>, codon adaptation index (CAI) Sharp and Li (1987) <doi:10.1093/nar/15.3.1281>, relative codon deoptimization index (RCDI) Puigbò et al (2010) <doi:10.1186/1756-0500-3-87>, similarity index (SiD) Zhou et al (2013) <doi:10.1371/journal.pone.0077239>, synonymous codon usage orderliness (SCUO) Wan et al (2004) <doi:10.1186/1471-2148-4-19> and, relative synonymous codon usage (RSCU) Sharp et al (1986) <doi:10.1093/nar/14.13.5125>. 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().

Version: 1.0.0
Imports: Biostrings, coRdon , ggplot2, seqinr, stringr
Suggests: testthat
Published: 2019-11-15
Author: Ali Mostafa Anwar [aut, cre], Mohamed Soudy [aut]
Maintainer: Ali Mostafa Anwar <ali.mo.anwar at std.agr.cu.edu.eg>
License: GPL-3
NeedsCompilation: no
CRAN checks: vhcub results

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Reference manual: vhcub.pdf
Package source: vhcub_1.0.0.tar.gz
Windows binaries: r-devel: vhcub_1.0.0.zip, r-release: vhcub_1.0.0.zip, r-oldrel: vhcub_1.0.0.zip
macOS binaries: r-release: not available, r-oldrel: not available

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