atena: Analysis of Transposable Elements

#' atena: analysis of transposable elements in R and Bioconductor
#' 
#' The atena package provides a complete re-implementation in R of three
#' existing methods for the quantification of transposable element (TE)
#' expression in order to facilitate its integration into Bioconductor
#' workflows for the analysis of RNA-seq data. The three methods are
#' TEtranscripts
#' (\href{https://doi.org/10.1093/bioinformatics/btv422}{Jin et al. (2015)}),
#' ERVmap
#' (\href{https://doi.org/10.1073/pnas.1814589115}{Tokuyama et al. (2018)})
#' and Telescope
#' (\href{https://doi.org/10.1371/journal.pcbi.1006453}{Bendall et al.(2019)}).
#' 
#' 
#' The main functions are:
#'
#' \itemize{
#' \item \code{\link{TEtranscriptsParam}} - build parameter objects of the class \code{TEtranscriptsParam-class} for the TEtranscripts expression quantification method
#' \item \code{\link{ERVmapParam}} - build parameter objects of the class \code{ERVmapParam-class} for the ERVmap expression quantification method
#' \item \code{\link{TelescopeParam}} - build parameter objects of the class \code{TelescopeParam-class} for the Telescope expression quantification method
#' \item \code{\link{qtex}} - call the TE expression quantification method using a previously built parameter object
#' }
#' 
#' For detailed information on usage, see the package vignette, by typing
#' \code{vignette("atena")}.
#' 
#' All questions and bug reports should be posted to the Bioconductor Support 
#' Site:
#' 
#' \url{https://support.bioconductor.org}
#'
#' The code of the development version of the package is available at the
#' GitHub repository:
#'
#' \url{https://github.com/functionalgenomics/atena}
#' 
#' @references
#' 
#' Jin Y et al. TEtranscripts: a package for including transposable elements
#' in differential expression analysis of RNA-seq datasets.
#' Bioinformatics. 2015;31(22):3593-3599. DOI:
#' \url{https://doi.org/10.1093/bioinformatics/btv422}
#' 
#' Tokuyama M et al. ERVmap analysis reveals genome-wide transcription of
#' human endogenous retroviruses. PNAS. 2018;115(50):12565-12572. DOI:
#' \url{https://doi.org/10.1073/pnas.1814589115}
#' 
#' Bendall et al. Telescope: characterization of the retrotranscriptome by
#' accurate estimation of transposable element expression.
#' PLOS Comp. Biol. 2019;15(9):e1006453. DOI:
#' \url{https://doi.org/10.1371/journal.pcbi.1006453}
#' 
#' 
#' 
#' @name atena-package
#' @aliases atena-package
#' @aliases atena
#' @keywords package
"_PACKAGE"

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