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#' Create generic template
#'
#' Generation of a template.csv file for generic input data. The template is provided in long-format.
#'
#' The generated template.csv file can be used to create a software-independent input file for mpwR. Example entries are provided. The template file - filename_Report.csv - is generated. The appendix "_Report" is required for importing with mpwR. Note that the template is in long-format, so each ProteinGroup.ID has possible multiple entries depending on the number of Precursor.IDs.
#'
#' @param path_filename Path to folder where template is generated and user-defined filename
#' @author Oliver Kardell
#'
#' @return This function returns a csv-file with the following columns:
#' \itemize{
#' \item Run_mpwR - name of file(s).
#' \item ProteinGroup.IDs_mpwR - ProteinGroup with identifier(s) of protein(s) contained in the protein group.
#' \item Protein.IDs_mpwR - Protein identifier(s).
#' \item Peptide.IDs_mpwR - Sequence representation plus possible post-translational modifications.
#' \item Precursor.IDs_mpwR - Sequence representation plus possible post-translational modifications including charge state.
#' \item Stripped.Sequence_mpwR - The amino acid sequence of the identified peptide without modifications.
#' \item Precursor.Charge_mpwR - Charge state of the precursor.
#' \item Missed.Cleavage_mpwR - Number of missed enzymatic cleavages.
#' \item Retention.time_mpwR - Retention time in minutes in the elution profile of the precursor ion.
#' \item ProteinGroup_LFQ_mpwR - LFQ intensity column on proteingroup-level
#' \item Peptide_LFQ_mpwR - LFQ intensity column on petide-level
#' }
#'
#' @export
#'
#' @examples
#' \dontrun{
#' write_generic_template(path = "DIRECTORY_WHERE_FILE_IS_GENERATED/filename")
#' }
write_generic_template <- function(path_filename) {
template <- tibble::tibble(
Run_mpwR = rep(c("R01", "R02"), each = 5),
ProteinGroup.IDs_mpwR = c("A0A075B6I9;P04211", "A0A075B6H9", "A0A075B6K4;P01717", "A0A075B6K5", "A0A075B6K5", "A0A075B6I9;P04211", "A0A075B6H9", "A0A075B6K4;P01717", "A0A075B6K5", "A0A075B6K5"),
Protein.IDs_mpwR = c("A0A075B6I9;P04211", "A0A075B6H9", "A0A075B6K4;P01717", "A0A075B6K5", "A0A075B6K5", "A0A075B6I9;P04211", "A0A075B6H9", "A0A075B6K4;P01717", "A0A075B6K5", "A0A075B6K5"),
Peptide.IDs_mpwR = c("FSGSLLGGK", "FSGSRSSGAER", "ITC(UniMod:4)SGDALPK", "NVHWYQQK", "PGQAPVLVIYR", "FSGSLLGGK", "FSGSRSSGAER", "ITC(UniMod:4)SGDALPK", "NVHWYQQK", "PGQAPVLVIYR"),
Precursor.IDs_mpwR = c("FSGSLLGGK2", "FSGSRSSGAER2", "ITC(UniMod:4)SGDALPK2", "NVHWYQQK2", "PGQAPVLVIYR2", "FSGSLLGGK2", "FSGSRSSGAER2", "ITC(UniMod:4)SGDALPK2", "NVHWYQQK2", "PGQAPVLVIYR2"),
Stripped.Sequence_mpwR = c("FSGSLLGGK", "FSGSRSSGAER", "ITCSGDALPK", "NVHWYQQK", "PGQAPVLVIYR", "FSGSLLGGK", "FSGSRSSGAER", "ITCSGDALPK", "NVHWYQQK", "PGQAPVLVIYR"),
Precursor.Charge_mpwR = rep(2, each = 10),
Missed.Cleavage_mpwR = c(0, 1, 0, 0, 0, 0, 1, 0, 0, 0),
Retention.time_mpwR = c(50.1869, 16.8094, 32.4896, 30.1251, 71.7974, 50.2519, 16.8899, 32.393, 30.0295, 71.763),
ProteinGroup_LFQ_mpwR = c(701407, 144256, 235109, 203237, 203237, 876683, 162304, 241585, 242318, 242318),
Peptide_LFQ_mpwR = c(150000, 130000, 160000, 120000, 110000, 140000, 133000, 165000, 1220000, 111000)
)
utils::write.csv(template, file = paste0(path_filename, "_Report.csv"), row.names = FALSE)
}
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