High-Performance Open-Source Archive
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.
# install vDiveR:
install.packages("vDiveR")
# Or the development version from GitHub:
# install.packages("devtools")
devtools::install_github("pendy05/vDiveR")
Figure 1: vDiveR functions. In the image above, purpose of each function together with its main arguments is shown. The dataframe returned from the respective functions are colored in orange.
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