R/data.R

In mgerault/DIAgui: A shiny app for processing DIAnn output in proteomics

#' World Health Organization TB data
#'
#' A subset of data from the World Health Organization Global Tuberculosis
#' Report ...
#'
#' @format ## `small_report`
#' A data frame with 2992 rows and 40 columns:
#' \describe{
#'   \item{File.Name}{File.Name}
#'   \item{Protein.Group}{Protein.Group}
#'   \item{Protein.Ids}{Protein.Ids}
#'   \item{Protein.Names}{Protein.Names}
#'   \item{Genes}{Genes}
#'   \item{PG.Quantity}{PG.Quantity}
#'   \item{PG.Normalised}{PG.Normalised}
#'   \item{Genes.Quantity}{Genes.Quantity}
#'   \item{Genes.Normalised}{Genes.Normalised}
#'   \item{Genes.MaxLFQ}{Genes.MaxLFQ}
#'   \item{Genes.MaxLFQ.Unique}{Genes.MaxLFQ.Unique}
#'   \item{Modified.Sequence}{Modified.Sequence}
#'   \item{Stripped.Sequence}{Stripped.Sequence}
#'   \item{Precursor.Id}{Precursor.Id}
#'   \item{Precursor.Charge}{Precursor.Charge}
#'   \item{Q.Value}{Q.Value}
#'   \item{Protein.Q.Value}{Protein.Q.Value}
#'   \item{PG.Q.Value}{PG.Q.Value}
#'   \item{GG.Q.Value}{GG.Q.Value}
#'   \item{Proteotypic}{Proteotypic}
#'   \item{Precursor.Quantity}{Precursor.Quantity}
#'   \item{Precursor.Normalised}{Precursor.Normalised}
#'   \item{Label.Ratio}{Label.Ratio}
#'   \item{RT}{RT}
#'   \item{RT.Start}{RT.Start}
#'   \item{RT.Stop}{RT.Stop}
#'   \item{iRT}{iRT}
#'   \item{Predicted.RT}{Predicted.RT}
#'   \item{Predicted.iRT}{Predicted.iRT}
#'   \item{First.Protein.Description}{First.Protein.Description}
#'   \item{Lib.Q.Value}{Lib.Q.Value}
#'   \item{Ms1.Profile.Corr}{Ms1.Profile.Corr}
#'   \item{Ms1.Area}{Ms1.Area}
#'   \item{Evidence}{Evidence}
#'   \item{CScore}{CScore}
#'   \item{Decoy.Evidence}{Decoy.Evidence}
#'   \item{Decoy.CScore}{Decoy.CScore}
#'   \item{Fragment.Quant.Raw}{Fragment.Quant.Raw}
#'   \item{Fragment.Quant.Corrected}{Fragment.Quant.Corrected}
#'   \item{Fragment.Correlations}{Fragment.Correlations}
#' }
#' @source this data were obtained thanks to diann-rpackage from Vadim Demichev
"small_report"

#' World Health Organization TB data
#'
#' A subset of data from the World Health Organization Global Tuberculosis
#' Report ...
#'
#' @format ## `all_species`
#' A vector of strings
#' @source obtained from SwissProt
"all_species"