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vDiveR: Visualization of Viral Protein Sequence Diversity Dynamics

To ease the visualization of outputs from Diversity Motif Analyser ('DiMA'; <https://github.com/BVU-BILSAB/DiMA>). 'vDiveR' allows visualization of the diversity motifs (index and its variants – major, minor and unique) for elucidation of the underlying inherent dynamics. Please refer <https://vdiver-manual.readthedocs.io/en/latest/> for more information.

Version: 2.0.1
Depends: R (≥ 2.10)
Imports: dplyr, gghalves, ggplot2, ggpubr, grid, ggtext, magrittr, tidyr, stringr, rlang, rentrez, scales, utils, maps, cowplot, stringdist
Suggests: testthat (≥ 3.0.0)
Published: 2024-11-22
DOI: 10.32614/CRAN.package.vDiveR
Author: Pendy Tok [aut, cre], Li Chuin Chong [aut], Evgenia Chikina [aut], Yin Cheng Chen [aut], Mohammad Asif Khan [aut]
Maintainer: Pendy Tok <pendytok0518 at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: vDiveR results

Documentation:

Reference manual: vDiveR.pdf

Downloads:

Package source: vDiveR_2.0.1.tar.gz
Windows binaries: r-devel: vDiveR_2.0.1.zip, r-release: vDiveR_2.0.1.zip, r-oldrel: vDiveR_2.0.1.zip
macOS binaries: r-release (arm64): vDiveR_2.0.1.tgz, r-oldrel (arm64): vDiveR_2.0.1.tgz, r-release (x86_64): vDiveR_2.0.1.tgz, r-oldrel (x86_64): vDiveR_2.0.1.tgz
Old sources: vDiveR archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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