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().
- Version1.0.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release11/15/2019
Team
Ali Mostafa Anwar
Mohamed Soudy
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 119 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,471 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 23, 2024 with 22 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports3 packages
- Suggests1 package