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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Virus-Host Codon Usage Co-Adaptation Analysis</dc:title>
  <dc:title>R package vhcub version 1.0.0</dc:title>
  <dc: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) &lt;doi:10.1093/oxfordjournals.molbev.a004201&gt;, codon adaptation index (CAI) Sharp  and  Li (1987) &lt;doi:10.1093/nar/15.3.1281&gt;, relative  codon deoptimization index (RCDI) Puigbò et al (2010) &lt;doi:10.1186/1756-0500-3-87&gt;, similarity index (SiD) Zhou et al (2013) &lt;doi:10.1371/journal.pone.0077239&gt;,  synonymous codon usage orderliness (SCUO) Wan et al (2004) &lt;doi:10.1186/1471-2148-4-19&gt; and, relative synonymous    codon usage (RSCU) Sharp et al (1986) &lt;doi:10.1093/nar/14.13.5125&gt;. 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().</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: Biostrings, coRdon , ggplot2, seqinr, stringr</dc:relation>
  <dc:relation>Suggests: testthat</dc:relation>
  <dc:creator>Ali Mostafa Anwar &lt;ali.mo.anwar@std.agr.cu.edu.eg&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Ali Mostafa Anwar [aut, cre],
  Mohamed Soudy [aut]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2019-11-15</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=vhcub</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.vhcub</dc:identifier>
</oai_dc:dc>
