Contains an administrative-level-1 map of the world.
    Administrative-level-1 is the generic term for the largest sub-national
    subdivision of a country. This package was created for use with the
    choroplethr package.

Contains 3 maps. 1) US States 2) US Counties 3) Countries of the
    world.

An engine for stochastic cellular automata. It provides a high-level
  interface to declare a model, which can then be simulated by various backends
  (Genin et al. (2023) <doi:10.1101/2023.11.08.566206>).

Generation of different Christmas cards, most of them being
    animated. Most of the cards can be generated in three languages (English,
    Catalan and Spanish). The collection started in 2009.

Reads chromatograms from binary formats into R objects. Currently supports conversion of 'Agilent ChemStation', 'Agilent MassHunter', and 'ThermoRaw' files as well as various text-based formats. Utilizes file parsers from external libraries, such as 'Aston' <https://github.com/bovee/aston>, 'Entab' <https://github.com/bovee/entab>, and 'ThermoRawFileParser' <https://github.com/compomics/ThermoRawFileParser>.

A programmatic interface to the Chromosome Counts Database
    (<https://taux.evolseq.net/CCDB_web/>), Rice et al. (2014) <doi:10.1111/nph.13191>.
    This package is part of the 'ROpenSci' suite (<https://ropensci.org>).

Provides interactive, configurable and elegant graphics visualization of the chromosomes or chromosome regions
    of any living organism allowing users to map chromosome elements (like genes, SNPs etc.) on the chromosome plot. It introduces
    a special plot viz. the "chromosome heatmap" that, in addition to mapping elements, can visualize the data
    associated with chromosome elements (like gene expression) in the form of heat colors which can be highly
    advantageous in the scientific interpretations and research work. Because of the large size of the chromosomes,
    it is impractical to visualize each element on the same plot. However, the plot provides a magnified view for each
    of chromosome locus to render additional information and visualization specific for that location. You can map
    thousands of genes and can view all mappings easily. Users can investigate the detailed information about the mappings
    (like gene names or total genes mapped on a location) or can view the magnified single or double stranded view of the
    chromosome at a location showing each mapped element in sequential order. The package provide multiple features
    like visualizing multiple sets, chromosome heat-maps, group annotations, adding hyperlinks, and labelling.
    The plots can be saved as HTML documents that can be customized and shared easily. In addition, you can include them in R Markdown or in R 'Shiny' applications.