Mercurial > repos > lecorguille > xcms_retcor
view xcms_retcor.r @ 50:0bc08f128b42 draft default tip
planemo upload for repository https://github.com/workflow4metabolomics/tools-metabolomics/ commit 95721ced8347c09e79340e6d67ecb41c5cc64163
author | workflow4metabolomics |
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date | Mon, 03 Feb 2025 14:41:19 +0000 |
parents | 177b5847a211 |
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#!/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", "RColorBrewer") 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 specific parameters method <- args$method cat("\n\n") # ----- ARGUMENTS PROCESSING ----- cat("\tINFILE PROCESSING INFO\n") # image is an .RData file necessary to use xset variable given by previous tools load(args$image) args$image <- NULL if (!exists("xdata")) stop("\n\nERROR: The RData doesn't contain any object called 'xdata'. This RData should have been created by an old version of XMCS 2.*") # Handle infiles if (!exists("singlefile")) singlefile <- NULL if (!exists("zipfile")) zipfile <- NULL rawFilePath <- retrieveRawfileInTheWorkingDir(singlefile, zipfile, args) zipfile <- rawFilePath$zipfile singlefile <- rawFilePath$singlefile cat("\n\n") # ----- MAIN PROCESSING INFO ----- cat("\tMAIN PROCESSING INFO\n") cat("\t\tCOMPUTE\n") cat("\t\t\tAlignment/Retention Time correction\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()))] adjustRtimeParam <- do.call(paste0(method, "Param"), args) print(adjustRtimeParam) if (hasAdjustedRtime(xdata)) { cat("WARNING: a retention time ajustment had already been applied to your data.\nThe function applyAdjustedRtime was processed to cumulate the ajustment") cat("Replace raw retention times with adjusted retention times.\n") xdata <- applyAdjustedRtime(xdata) } xdata <- adjustRtime(xdata, param = adjustRtimeParam) cat("\n\n") # -- TIC -- cat("\t\tDRAW GRAPHICS\n") getPlotAdjustedRtime(xdata) 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 = "retcor.RData") cat("\n\n") cat("\tDONE\n")