Package: vDiveR
Type: Package
Title: Visualization of Viral Protein Sequence Diversity Dynamics
Version: 2.2.1
Authors@R: c(
    person("Pendy", "Tok", email = "pendytok0518@gmail.com", role = c("aut", "cre")),
    person("Li Chuin", "Chong", role = "aut"),
    person("Evgenia", "Chikina", role = "aut"),
    person("Yin Cheng", "Chen", role = "aut"),
    person("Mohammad Asif", "Khan", role = "aut"))
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, ggplot2, ggpubr, grid, ggtext, magrittr, tidyr,
        stringr, rlang, rentrez, scales, utils, maps, cowplot,
        stringdist, patchwork
RoxygenNote: 7.3.3
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-07-23 16:03:48 UTC; root
Author: Pendy Tok [aut, cre], Li Chuin Chong [aut], Evgenia Chikina
        [aut], Yin Cheng Chen [aut], Mohammad Asif Khan [aut]
Maintainer: Pendy Tok <pendytok0518@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-23 12:40:02 UTC
RemoteUrl: https://github.com/cran/vDiveR
RemoteRef: HEAD
RemoteSha: 9194d9d2da801c8edc3952e0b18dcf2296e6d449