#' Import DIA-Umpire files
#'
#' @inheritParams .sharedParametersAmongConverters
#' @param raw.frag name of FragSummary_date.xls data, which includes feature-level data.
#' @param raw.pep name of PeptideSummary_date.xls data, which includes selected fragments information.
#' @param raw.pro name of ProteinSummary_date.xls data, which includes selected peptides information.
#' @param annotation name of annotation data which includes Condition, BioReplicate, Run information.
#' @param useSelectedFrag TRUE will use the selected fragment for each peptide. 'Selected_fragments' column is required.
#' @param useSelectedPep TRUE will use the selected peptide for each protein. 'Selected_peptides' column is required.
#' @param ... additional parameters to `data.table::fread`.
#'
#' @return data.frame in the MSstats required format.
#'
#' @author Meena Choi, Olga Vitek
#'
#' @export
#'
#' @examples
#' diau_frag = system.file("tinytest/raw_data/DIAUmpire/dia_frag.csv",
#' package = "MSstatsConvert")
#' diau_pept = system.file("tinytest/raw_data/DIAUmpire/dia_pept.csv",
#' package = "MSstatsConvert")
#' diau_prot = system.file("tinytest/raw_data/DIAUmpire/dia_prot.csv",
#' package = "MSstatsConvert")
#' annot = system.file("tinytest/raw_data/DIAUmpire/annot_diau.csv",
#' package = "MSstatsConvert")
#' diau_frag = data.table::fread(diau_frag)
#' diau_pept = data.table::fread(diau_pept)
#' diau_prot = data.table::fread(diau_prot)
#' annot = data.table::fread(annot)
#' diau_frag = diau_frag[, lapply(.SD, function(x) if (is.integer(x)) as.numeric(x) else x)]
#' # In case numeric columns are not interpreted correctly
#'
#' diau_imported = DIAUmpiretoMSstatsFormat(diau_frag, diau_pept, diau_prot,
#' annot, use_log_file = FALSE)
#' head(diau_imported)
#'
DIAUmpiretoMSstatsFormat = function(
raw.frag, raw.pep, raw.pro, annotation, useSelectedFrag = TRUE,
useSelectedPep = TRUE, removeFewMeasurements = TRUE,
removeProtein_with1Feature = FALSE, summaryforMultipleRows = max,
use_log_file = TRUE, append = FALSE, verbose = TRUE, log_file_path = NULL,
...
) {
MSstatsConvert::MSstatsLogsSettings(use_log_file, append, verbose,
log_file_path)
input = MSstatsConvert::MSstatsImport(list(Fragments = raw.frag,
Peptides = raw.pep,
Proteins = raw.pro),
type = "MSstats",
tool = "DIAUmpire", ...)
input = MSstatsConvert::MSstatsClean(input,
use_frag = useSelectedFrag,
use_pept = useSelectedPep)
annotation = MSstatsConvert::MSstatsMakeAnnotation(input, annotation)
feature_columns = c("PeptideSequence", "FragmentIon")
input = MSstatsConvert::MSstatsPreprocess(
input,
annotation,
feature_columns,
remove_shared_peptides = TRUE,
remove_single_feature_proteins = removeProtein_with1Feature,
feature_cleaning = list(
remove_features_with_few_measurements = removeFewMeasurements,
summarize_multiple_psms = summaryforMultipleRows),
columns_to_fill = list("PrecursorCharge" = NA,
"ProductCharge" = NA,
"IsotopeLabelType" = "L"))
input = MSstatsConvert::MSstatsBalancedDesign(input, feature_columns,
remove_few = removeFewMeasurements)
msg_final = paste("** Finished preprocessing. The dataset is ready",
"to be processed by the dataProcess function.")
getOption("MSstatsLog")("INFO", msg_final)
getOption("MSstatsMsg")("INFO", msg_final)
getOption("MSstatsLog")("INFO", "\n")
input
}
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