#' Imports GPS 5.0 results file
#'
#' @param file path to GPS 5.0 results file
#' @param name (optional) identifier for imported data
#'
#' @return
#' @export
#'
#'
import_GPS_results <- function(file, name = "table") {
# Choose file path of not given
if (!hasArg(file)) file <- file.choose()
# Read file
GPS_results <- read.delim(file)
# Find locations of protein breaks
loc <- c(grep(">", GPS_results$Position), nrow(GPS_results) + 1)
# vector to constrct protein column for table
proteins <- c()
# Add each proteins times number of pSites
for (i in 1:(length(loc) - 1)) {
proteins <- c(proteins,
rep(substring(GPS_results$Position[[loc[i]]], 2),
loc[i + 1] - loc[i]))
}
# Prepare dataframe and add pSite column
GPS_results <- GPS_results %>%
dplyr::mutate(Protein = proteins, .before = 1) %>%
dplyr::filter(!grepl(">", Position)) %>%
dplyr::arrange(Protein, Code, Position, -Score) %>%
data2tibble() %>%
dplyr::mutate(pSite = paste(Protein, Code, Position, sep = "_"),
.before = 1)
# Save results
add_database(GPS_results, id = name, type = "GPS_results")
}
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