Authors@R: c(KS=person("Klaus", "Schliep", email="klaus.schliep@umb.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-2941-0161")),
TJ=person("Thibaut", "Jombart", , "t.jombart@imperial.ac.uk", role = c("aut")),
Description: Toolkit for the analysis of multiple gene data (Jombart et al. 2017) <doi:10.1111/1755-0998.12567>.
Apex implements the new S4 classes 'multidna', 'multiphyDat' and associated methods to handle aligned DNA sequences from multiple genes.
Imports: utils, graphics, stats, adegenet
Author: Klaus Schliep [aut, cre] (<https://orcid.org/0000-0003-2941-0161>),

Title: Create Interactive Chart with the JavaScript 'ApexCharts'
Description: Provides an 'htmlwidgets' interface to 'apexcharts.js'.
'Apexcharts' is a modern JavaScript charting library to build interactive charts and visualizations with simple API.
'Apexcharts' examples and documentation are available here: <https://apexcharts.com/>.
person("Victor", "Perrier", email = "victor.perrier@dreamrs.fr", role = c("aut", "cre")),
person("Fanny", "Meyer", email = "fanny.meyer@dreamrs.fr", role = "aut"),
person("Juned", "Chhipa", role = "cph", comment = "apexcharts.js library"))
Imports: htmlwidgets, magrittr, rlang, ggplot2, scales
Suggests: testthat, dplyr, knitr, rmarkdown, shiny
Juned Chhipa [cph] (apexcharts.js library)

person("Juned", "Chhipa", role = "cph", comment = "apexcharts.js library"),
person("Mike", "Bostock", role = "cph", comment = "d3.format library"))
Imports: htmlwidgets, magrittr, rlang, ggplot2, scales, jsonlite
Suggests: testthat, dplyr, knitr, rmarkdown, shiny, gapminder,
Juned Chhipa [cph] (apexcharts.js library),

Imports: htmlwidgets, magrittr, rlang, ggplot2, jsonlite, shiny (>=
Suggests: testthat, dplyr, knitr, scales, rmarkdown, gapminder,

Suggests: testthat, dplyr, knitr, scales, rmarkdown

Imports: htmltools, htmlwidgets, magrittr, rlang, ggplot2, jsonlite,
Suggests: testthat, knitr, scales, rmarkdown, covr

Imports: htmltools, htmlwidgets (>= 1.5.3), magrittr, rlang, ggplot2,

Title: Analysis with Profile Hidden Markov Models
Authors@R: person("Shaun", "Wilkinson", email = "shaunpwilkinson@gmail.com",
Description: Designed for the development and application of
hidden Markov models and profile HMMs for biological sequence analysis.
Contains functions for multiple and pairwise sequence alignment,
model construction and parameter optimization, file import/export,
implementation of the forward, backward and Viterbi algorithms for
conditional sequence probabilities, tree-based sequence weighting,
Features a wide variety of potential applications including
database searching, gene-finding and annotation, phylogenetic
Imports: graphics, openssl, phylogram (>= 1.0.0), Rcpp (>= 0.12.5),
Suggests: ape (>= 3.0), knitr, rmarkdown, testthat