Mercurial > repos > lecorguille > xcms_xcmsset
view xcms_xcmsSet.r @ 34:6550698fe60f draft default tip
planemo upload for repository https://github.com/workflow4metabolomics/tools-metabolomics/ commit eca29d4347fe2f4802091c4a06715232a6fd9253
author | workflow4metabolomics |
---|---|
date | Mon, 15 Jul 2024 16:02:04 +0000 |
parents | f5d51091cf84 |
children |
line wrap: on
line source
#!/usr/bin/env Rscript # ----- LOG FILE ----- log_file <- file("log.txt", open = "wt") sink(log_file) sink(log_file, type = "output") # ----- PACKAGE ----- cat("\tSESSION INFO\n") #Import the different functions source_local <- function(fname) { argv <- commandArgs(trailingOnly = FALSE) base_dir <- dirname(substring(argv[grep("--file=", argv)], 8)) source(paste(base_dir, fname, sep = "/")) } source_local("lib.r") pkgs <- c("xcms", "batch") loadAndDisplayPackages(pkgs) cat("\n\n") # ----- ARGUMENTS ----- cat("\tARGUMENTS INFO\n") args <- parseCommandArgs(evaluate = FALSE) #interpretation of arguments given in command line as an R list of objects write.table(as.matrix(args), col.names = FALSE, quote = FALSE, sep = "\t") cat("\n\n") # ----- PROCESSING INFILE ----- cat("\tARGUMENTS PROCESSING INFO\n") #saving the commun parameters BPPARAM <- MulticoreParam(1) if (!is.null(args$BPPARAM)) { BPPARAM <- MulticoreParam(args$BPPARAM) } register(BPPARAM) #saving the specific parameters if (!is.null(args$filterAcquisitionNum)) filterAcquisitionNumParam <- args$filterAcquisitionNum if (!is.null(args$filterRt)) filterRtParam <- args$filterRt if (!is.null(args$filterMz)) filterMzParam <- args$filterMz if (!is.null(args$peaklist)) peaklistParam <- args$peaklist method <- args$method if (!is.null(args$roiList)) { cat("\t\troiList provided\n") args$roiList <- list(getDataFrameFromFile(args$roiList)) print(args$roiList) } cat("\n\n") # ----- INFILE PROCESSING ----- cat("\tINFILE PROCESSING INFO\n") #image is an .RData file necessary to use xset variable given by previous tools load(args$image) if (!exists("raw_data")) stop("\n\nERROR: The RData doesn't contain any object called 'raw_data' which is provided by the tool: MSnbase readMSData") # Handle infiles rawFilePath <- retrieveRawfileInTheWorkingDir(singlefile, zipfile, args) zipfile <- rawFilePath$zipfile singlefile <- rawFilePath$singlefile cat("\n\n") # ----- MAIN PROCESSING INFO ----- cat("\tMAIN PROCESSING INFO\n") cat("\t\tCOMPUTE\n") cat("\t\t\tApply filter[s] (if asked)\n") if (exists("filterAcquisitionNumParam")) raw_data <- filterAcquisitionNum(raw_data, filterAcquisitionNumParam[1]:filterAcquisitionNumParam[2]) if (exists("filterRtParam")) raw_data <- filterRt(raw_data, filterRtParam) if (exists("filterMzParam")) raw_data <- filterMz(raw_data, filterMzParam) #Apply this filter only if file contain MS and MSn if (length(unique(msLevel(raw_data))) != 1) { raw_data <- filterMsLevel(raw_data, msLevel = 1) } cat("\t\t\tChromatographic peak detection\n") # clear the arguement list to remove unexpected key/value as singlefile_galaxyPath or method ... args <- args[names(args) %in% slotNames(do.call(paste0(method, "Param"), list()))] findChromPeaksParam <- do.call(paste0(method, "Param"), args) print(findChromPeaksParam) xdata <- findChromPeaks(raw_data, param = findChromPeaksParam) # Check if there are no peaks if (nrow(chromPeaks(xdata)) == 0) stop("No peaks were detected. You should review your settings") # Create a sampleMetada file sampleNamesList <- getSampleMetadata(xdata = xdata, sampleMetadataOutput = "sampleMetadata.tsv") # Create a chromPeaks table if required if (exists("peaklistParam")) { if (peaklistParam) { cat("\nCreating the chromatographic peaks' table...\n") write.table(chromPeaks(xdata), file = "chromPeak_table.tsv", sep = "\t", quote = FALSE, row.names = FALSE) } } cat("\n\n") # ----- EXPORT ----- cat("\tXCMSnExp OBJECT INFO\n") print(xdata) cat("\n\n") cat("\txcmsSet OBJECT INFO\n") # Get the legacy xcmsSet object xset <- getxcmsSetObject(xdata) print(xset) cat("\n\n") #saving R data in .Rdata file to save the variables used in the present tool objects2save <- c("xdata", "zipfile", "singlefile", "md5sumList", "sampleNamesList") save(list = objects2save[objects2save %in% ls()], file = "xcmsSet.RData") cat("\tDONE\n")