#' rRMSAnalyzer package dedicated to analysis of RiboMethSeq data
#' 
#' The rRMSAnalyzer package is designed to give easy-to-use functions
#' dedicated to RiboMethSeq (RMS) analyses. All functions revolve
#' around the RiboClass, a S3 class containing both RMS data and samples 
#' metadata.
#'
#' The main functions are (in a standard workflow chronological order):
#'
#' \itemize{
#' \item \code{\link{load_ribodata}} - import data and create a RiboClass. Objects of this class are used by all other functions
#' \item \code{\link{compute_cscore}} - compute C-score for all genomic positions in each sample
#' \item \code{\link{adjust_bias}} - adjust technical biases of your RiboMethSeq data with ComBat-seq
#' \item \code{\link{extract_data}} - get a dataframe of C-score for all samples and all positions in the RiboClass
#' \item Plots, e.g.: \code{\link{plot_pca}}; \code{\link{plot_coa}} or \code{\link{plot_heatmap}}.
#' }
#' 
#' To know how to start using this package, have a look at the vignette at 
#' \code{vignette("rRMSAnalyzer")}. It will give an example for most commands
#' and a workflow.
#' 
#'
#' The code can be viewed at the GitHub repository :
#' 
#' \url{https://github.com/RibosomeCRCL/rRMSAnalyzer}
#' 
#'
#'
#' @author Th√©o COMBE, Hermes PARAQINDES, Janice KIELBASSA
#' 
#' @docType package
#' @name rRMSAnalyzer-package
#' @aliases rRMSAnalyzer-package
#' @keywords package
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