#' Import Proteome Discoverer files
#'
#' @inheritParams .sharedParametersAmongConverters
#' @param input PD report or a path to it.
#' @param annotation name of 'annotation.txt' or 'annotation.csv' data which includes Condition, BioReplicate,
#' Run information. 'Run' will be matched with 'Spectrum.File'.
#' @param useNumProteinsColumn TRUE removes peptides which have more than 1 in # Proteins column of PD output.
#' @param which.quantification Use 'Precursor.Area'(default) column for quantified intensities. 'Intensity' or 'Area' can be used instead.
#' @param which.proteinid Use 'Protein.Accessions'(default) column for protein name. 'Master.Protein.Accessions' can be used instead.
#' @param which.sequence Use 'Sequence'(default) column for peptide sequence. 'Annotated.Sequence' can be used instead.
#' @param ... additional parameters to `data.table::fread`.
#'
#' @return data.frame in the MSstats required format.
#'
#' @author Meena Choi, Olga Vitek
#'
#' @export
#'
#' @examples
#'
#' pd_raw = system.file("tinytest/raw_data/PD/pd_input.csv",
#' package = "MSstatsConvert")
#' annot = system.file("tinytest/raw_data/PD/annot_pd.csv",
#' package = "MSstatsConvert")
#' pd_raw = data.table::fread(pd_raw)
#' annot = data.table::fread(annot)
#'
#' pd_imported = PDtoMSstatsFormat(pd_raw, annot, use_log_file = FALSE)
#' head(pd_imported)
#'
PDtoMSstatsFormat = function(
input, annotation, useNumProteinsColumn = FALSE, useUniquePeptide = TRUE,
summaryforMultipleRows = max, removeFewMeasurements = TRUE,
removeOxidationMpeptides = FALSE, removeProtein_with1Peptide = FALSE,
which.quantification = 'Precursor.Area',
which.proteinid = 'Protein.Group.Accessions', which.sequence = 'Sequence',
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(input = input),
"MSstats", "ProteomeDiscoverer", ...)
input = MSstatsConvert::MSstatsClean(
input,
quantification_column = which.quantification,
protein_id_column = which.proteinid,
sequence_column = which.sequence,
remove_shared = useNumProteinsColumn)
annotation = MSstatsConvert::MSstatsMakeAnnotation(input, annotation)
oxidation_filter = list(col_name = "PeptideSequence",
pattern = "Oxidation",
filter = removeOxidationMpeptides,
drop_column = FALSE)
feature_columns = c("PeptideSequence", "PrecursorCharge")
input = MSstatsConvert::MSstatsPreprocess(
input,
annotation,
feature_columns,
remove_shared_peptides = useUniquePeptide,
remove_single_feature_proteins = removeProtein_with1Peptide,
feature_cleaning = list(
remove_features_with_few_measurements = removeFewMeasurements,
summarize_multiple_psms = summaryforMultipleRows),
pattern_filtering = list(oxidation = oxidation_filter),
columns_to_fill = list("FragmentIon" = NA,
"ProductCharge" = NA,
"IsotopeLabelType" = "L"))
input = MSstatsConvert::MSstatsBalancedDesign(input, feature_columns,
remove_few = removeFewMeasurements)
data.table::setnames(input, "PeptideSequence", "PeptideModifiedSequence",
skip_absent = TRUE)
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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