Mercurial > repos > lecorguille > msnbase_readmsdata

annotate msnbase_readmsdata.r @ 13:cda005bc221c draft

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"planemo upload for repository https://github.com/workflow4metabolomics/xcms commit f1caf2a3bf23cf319a75dd12c86402555dd02617"
author workflow4metabolomics
date Wed, 12 Feb 2020 13:24:24 +0000
parents 144392dd4a31
children cdebdb178031
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1 #!/usr/bin/env Rscript
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3 # ----- LOG FILE -----
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4 log_file <- file("log.txt", open="wt")
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5 sink(log_file)
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6 sink(log_file, type = "output")
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9 # ----- PACKAGE -----
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10 cat("\tSESSION INFO\n")
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12 #Import the different functions
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13 source_local <- function(fname){ argv <- commandArgs(trailingOnly=FALSE); base_dir <- dirname(substring(argv[grep("--file=", argv)], 8)); source(paste(base_dir, fname, sep="/")) }
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14 source_local("lib.r")
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16 pkgs <- c("MSnbase","batch")
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17 loadAndDisplayPackages(pkgs)
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18 cat("\n\n");
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21 # ----- ARGUMENTS -----
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22 cat("\tARGUMENTS INFO\n")
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23 args <- parseCommandArgs(evaluate = FALSE) #interpretation of arguments given in command line as an R list of objects
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24 write.table(as.matrix(args), col.names=F, quote=F, sep='\t')
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26 cat("\n\n")
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29 # ----- PROCESSING INFILE -----
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30 cat("\tARGUMENTS PROCESSING INFO\n")
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33 cat("\n\n")
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35 # ----- INFILE PROCESSING -----
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36 cat("\tINFILE PROCESSING INFO\n")
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38 # Handle infiles
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39 if (!exists("singlefile")) singlefile <- NULL
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40 if (!exists("zipfile")) zipfile <- NULL
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41 rawFilePath <- retrieveRawfileInTheWorkingDirectory(singlefile, zipfile, args)
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42 zipfile <- rawFilePath$zipfile
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43 singlefile <- rawFilePath$singlefile
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44 files <- rawFilePath$files
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46 md5sumList <- list("origin" = getMd5sum(files))
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48 cat("\n\n")
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51 # ----- MAIN PROCESSING INFO -----
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52 cat("\tMAIN PROCESSING INFO\n")
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55 cat("\t\tCOMPUTE\n")
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57 cat("\t\t\tCreate a phenodata data.frame\n")
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58 s_groups <- sapply(files, function(x) tail(unlist(strsplit(dirname(x),"/")), n=1))
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59 s_name <- tools::file_path_sans_ext(basename(files))
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60 pd <- data.frame(sample_name=s_name, sample_group=s_groups, stringsAsFactors=FALSE)
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61 print(pd)
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63 cat("\t\t\tLoad Raw Data\n")
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64 raw_data <- readMSData(files=files, pdata = new("NAnnotatedDataFrame", pd), mode="onDisk")
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66 # Transform the files absolute pathways into relative pathways
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67 raw_data@processingData@files <- sub(paste(getwd(), "/", sep="") , "", raw_data@processingData@files)
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69 # Create a sampleMetada file
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70 sampleNamesList <- getSampleMetadata(xdata=raw_data, sampleMetadataOutput="sampleMetadata.tsv")
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72 #cat("\t\t\tCompute and Store TIC and BPI\n")
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73 #chromTIC <- chromatogram(raw_data, aggregationFun = "sum")
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74 #chromBPI <- chromatogram(raw_data, aggregationFun = "max")
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75
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76 cat("\n\n")
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78 # ----- EXPORT -----
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80 cat("\tMSnExp OBJECT INFO\n")
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81 print(raw_data)
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82 cat("\t\tphenoData\n")
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83 print(raw_data@phenoData@data)
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84 cat("\n\n")
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86 #saving R data in .Rdata file to save the variables used in the present tool
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87 objects2save <- c("raw_data", "zipfile", "singlefile", "md5sumList", "sampleNamesList") #, "chromTIC", "chromBPI")
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88 save(list=objects2save[objects2save %in% ls()], file="readmsdata.RData")
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91 cat("\tDONE\n")