annotate lib.r @ 2:fa17ee3bc9ce draft

planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 5e066c50d2e4ac6d5796b53331cbd3198ab8c4f9-dirty
author lecorguille
date Thu, 05 Apr 2018 18:04:47 -0400
parents 24f7d4e5c186
children 9581705d6578
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1 #@authors ABiMS TEAM, Y. Guitton
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2 # lib.r for Galaxy Workflow4Metabolomics xcms tools
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3
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4 #@author G. Le Corguille
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5 # solve an issue with batch if arguments are logical TRUE/FALSE
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6 parseCommandArgs <- function(...) {
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7 args <- batch::parseCommandArgs(...)
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8 for (key in names(args)) {
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9 if (args[key] %in% c("TRUE","FALSE"))
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10 args[key] = as.logical(args[key])
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11 }
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12 return(args)
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13 }
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15 #@author G. Le Corguille
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16 # This function will
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17 # - load the packages
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18 # - display the sessionInfo
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19 loadAndDisplayPackages <- function(pkgs) {
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20 for(pkg in pkgs) suppressPackageStartupMessages( stopifnot( library(pkg, quietly=TRUE, logical.return=TRUE, character.only=TRUE)))
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22 sessioninfo = sessionInfo()
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23 cat(sessioninfo$R.version$version.string,"\n")
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24 cat("Main packages:\n")
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25 for (pkg in names(sessioninfo$otherPkgs)) { cat(paste(pkg,packageVersion(pkg)),"\t") }; cat("\n")
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26 cat("Other loaded packages:\n")
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27 for (pkg in names(sessioninfo$loadedOnly)) { cat(paste(pkg,packageVersion(pkg)),"\t") }; cat("\n")
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28 }
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30 #@author G. Le Corguille
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31 # This function merge several chromBPI or chromTIC into one.
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32 mergeChrom <- function(chromTIC_merged, chromTIC, xdata_merged) {
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33 if (is.null(chromTIC_merged)) return(NULL)
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34 chromTIC_merged@.Data <- cbind(chromTIC_merged@.Data, chromTIC@.Data)
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35 chromTIC_merged@phenoData <- xdata_merged@phenoData
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36 return(chromTIC_merged)
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37 }
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38
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39 #@author G. Le Corguille
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40 # This function merge several xdata into one.
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41 mergeXData <- function(args) {
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42 chromTIC <- NULL; chromBPI <- NULL
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43 for(image in args$images) {
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44 load(image)
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45 # Handle infiles
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46 if (!exists("singlefile")) singlefile <- NULL
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47 if (!exists("zipfile")) zipfile <- NULL
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48 rawFilePath <- getRawfilePathFromArguments(singlefile, zipfile, args)
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49 zipfile <- rawFilePath$zipfile
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50 singlefile <- rawFilePath$singlefile
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51 retrieveRawfileInTheWorkingDirectory(singlefile, zipfile)
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52 if (exists("raw_data")) xdata <- raw_data
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53 if (!exists("xdata")) stop("\n\nERROR: The RData doesn't contain any object called 'xdata'. This RData should have been created by an old version of XMCS 2.*")
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54 cat(sampleNamesList$sampleNamesOrigin,"\n")
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55 if (!exists("xdata_merged")) {
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56 xdata_merged <- xdata
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57 singlefile_merged <- singlefile
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58 md5sumList_merged <- md5sumList
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59 sampleNamesList_merged <- sampleNamesList
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60 chromTIC_merged <- chromTIC
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61 chromBPI_merged <- chromBPI
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62 } else {
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63 if (is(xdata, "XCMSnExp")) xdata_merged <- c(xdata_merged,xdata)
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64 else if (is(xdata, "OnDiskMSnExp")) xdata_merged <- .concatenate_OnDiskMSnExp(xdata_merged,xdata)
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65 else stop("\n\nERROR: The RData either a OnDiskMSnExp object called raw_data or a XCMSnExp object called xdata")
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66 singlefile_merged <- c(singlefile_merged,singlefile)
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67 md5sumList_merged$origin <- rbind(md5sumList_merged$origin,md5sumList$origin)
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68 sampleNamesList_merged$sampleNamesOrigin <- c(sampleNamesList_merged$sampleNamesOrigin,sampleNamesList$sampleNamesOrigin)
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69 sampleNamesList_merged$sampleNamesMakeNames <- c(sampleNamesList_merged$sampleNamesMakeNames,sampleNamesList$sampleNamesMakeNames)
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70 chromTIC_merged <- mergeChrom(chromTIC_merged, chromTIC, xdata_merged)
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71 chromBPI_merged <- mergeChrom(chromBPI_merged, chromBPI, xdata_merged)
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72 }
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73 }
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74 rm(image)
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75 xdata <- xdata_merged; rm(xdata_merged)
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76 singlefile <- singlefile_merged; rm(singlefile_merged)
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77 md5sumList <- md5sumList_merged; rm(md5sumList_merged)
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78 sampleNamesList <- sampleNamesList_merged; rm(sampleNamesList_merged)
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79 chromTIC <- chromTIC_merged; rm(chromTIC_merged)
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80 chromBPI <- chromBPI_merged; rm(chromBPI_merged)
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81
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82 if (!is.null(args$sampleMetadata)) {
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83 cat("\tXSET PHENODATA SETTING...\n")
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84 sampleMetadataFile <- args$sampleMetadata
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85 sampleMetadata <- getDataFrameFromFile(sampleMetadataFile, header=F)
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86 xdata@phenoData@data$sample_group=sampleMetadata$V2[match(xdata@phenoData@data$sample_name,sampleMetadata$V1)]
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87
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88 if (any(is.na(pData(xdata)$sample_group))) {
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89 sample_missing <- pData(xdata)$sample_name[is.na(pData(xdata)$sample_group)]
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90 error_message <- paste("Those samples are missing in your sampleMetadata:", paste(sample_missing, collapse=" "))
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91 print(error_message)
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92 stop(error_message)
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93 }
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94 }
2
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95 return(list("xdata"=xdata, "singlefile"=singlefile, "md5sumList"=md5sumList,"sampleNamesList"=sampleNamesList, "chromTIC"=chromTIC, "chromBPI"=chromBPI))
0
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96 }
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97
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98 #@author G. Le Corguille
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99 # This function convert if it is required the Retention Time in minutes
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100 RTSecondToMinute <- function(variableMetadata, convertRTMinute) {
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101 if (convertRTMinute){
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102 #converting the retention times (seconds) into minutes
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103 print("converting the retention times into minutes in the variableMetadata")
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104 variableMetadata[,"rt"] <- variableMetadata[,"rt"]/60
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105 variableMetadata[,"rtmin"] <- variableMetadata[,"rtmin"]/60
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106 variableMetadata[,"rtmax"] <- variableMetadata[,"rtmax"]/60
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107 }
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108 return (variableMetadata)
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109 }
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110
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111 #@author G. Le Corguille
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112 # This function format ions identifiers
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113 formatIonIdentifiers <- function(variableMetadata, numDigitsRT=0, numDigitsMZ=0) {
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114 splitDeco <- strsplit(as.character(variableMetadata$name),"_")
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115 idsDeco <- sapply(splitDeco, function(x) { deco=unlist(x)[2]; if (is.na(deco)) return ("") else return(paste0("_",deco)) })
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116 namecustom <- make.unique(paste0("M",round(variableMetadata[,"mz"],numDigitsMZ),"T",round(variableMetadata[,"rt"],numDigitsRT),idsDeco))
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117 variableMetadata <- cbind(name=variableMetadata$name, namecustom=namecustom, variableMetadata[,!(colnames(variableMetadata) %in% c("name"))])
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118 return(variableMetadata)
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119 }
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120
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121 #@author G. Le Corguille
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122 # Draw the plotChromPeakDensity 3 per page in a pdf file
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123 getPlotChromPeakDensity <- function(xdata, mzdigit=4) {
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124 pdf(file="plotChromPeakDensity.pdf", width=16, height=12)
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125
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126 par(mfrow = c(3, 1), mar = c(4, 4, 1, 0.5))
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127
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128 group_colors <- brewer.pal(3, "Set1")[1:length(unique(xdata$sample_group))]
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129 names(group_colors) <- unique(xdata$sample_group)
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130
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131 xlim <- c(min(featureDefinitions(xdata)$rtmin), max(featureDefinitions(xdata)$rtmax))
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132 for (i in 1:nrow(featureDefinitions(xdata))) {
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133 mzmin = featureDefinitions(xdata)[i,]$mzmin
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134 mzmax = featureDefinitions(xdata)[i,]$mzmax
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135 plotChromPeakDensity(xdata, mz=c(mzmin,mzmax), col=group_colors, pch=16, xlim=xlim, main=paste(round(mzmin,mzdigit),round(mzmax,mzdigit)))
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136 legend("topright", legend=names(group_colors), col=group_colors, cex=0.8, lty=1)
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137 }
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138
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139 dev.off()
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140 }
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141
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142 #@author G. Le Corguille
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143 # Draw the plotChromPeakDensity 3 per page in a pdf file
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144 getPlotAdjustedRtime <- function(xdata) {
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145
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146 pdf(file="raw_vs_adjusted_rt.pdf", width=16, height=12)
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147
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148 # Color by group
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149 group_colors <- brewer.pal(3, "Set1")[1:length(unique(xdata$sample_group))]
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150 if (length(group_colors) > 1) {
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151 names(group_colors) <- unique(xdata$sample_group)
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152 plotAdjustedRtime(xdata, col = group_colors[xdata$sample_group])
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153 legend("topright", legend=names(group_colors), col=group_colors, cex=0.8, lty=1)
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154 }
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155
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156 # Color by sample
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157 plotAdjustedRtime(xdata, col = rainbow(length(xdata@phenoData@data$sample_name)))
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158 legend("topright", legend=xdata@phenoData@data$sample_name, col=rainbow(length(xdata@phenoData@data$sample_name)), cex=0.8, lty=1)
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159
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160 dev.off()
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161 }
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162
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163 #@author G. Le Corguille
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164 # value: intensity values to be used into, maxo or intb
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165 getPeaklistW4M <- function(xdata, intval="into", convertRTMinute=F, numDigitsMZ=4, numDigitsRT=0, variableMetadataOutput, dataMatrixOutput) {
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166 dataMatrix <- featureValues(xdata, method="medret", value=intval)
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167 colnames(dataMatrix) <- tools::file_path_sans_ext(colnames(dataMatrix))
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168 dataMatrix = cbind(name=groupnamesW4M(xdata), dataMatrix)
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169 variableMetadata <- featureDefinitions(xdata)
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170 colnames(variableMetadata)[1] = "mz"; colnames(variableMetadata)[4] = "rt"
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171 variableMetadata = data.frame(name=groupnamesW4M(xdata), variableMetadata)
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172
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173 variableMetadata <- RTSecondToMinute(variableMetadata, convertRTMinute)
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174 variableMetadata <- formatIonIdentifiers(variableMetadata, numDigitsRT=numDigitsRT, numDigitsMZ=numDigitsMZ)
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175
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176 write.table(variableMetadata, file=variableMetadataOutput,sep="\t",quote=F,row.names=F)
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177 write.table(dataMatrix, file=dataMatrixOutput,sep="\t",quote=F,row.names=F)
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178
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179 }
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180
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181 #@author G. Le Corguille
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182 # It allow different of field separators
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183 getDataFrameFromFile <- function(filename, header=T) {
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184 myDataFrame <- read.table(filename, header=header, sep=";", stringsAsFactors=F)
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185 if (ncol(myDataFrame) < 2) myDataFrame <- read.table(filename, header=header, sep="\t", stringsAsFactors=F)
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186 if (ncol(myDataFrame) < 2) myDataFrame <- read.table(filename, header=header, sep=",", stringsAsFactors=F)
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187 if (ncol(myDataFrame) < 2) {
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188 error_message="Your tabular file seems not well formatted. The column separators accepted are ; , and tabulation"
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189 print(error_message)
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190 stop(error_message)
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191 }
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192 return(myDataFrame)
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193 }
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194
2
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195 getPlotChromatogram <- function(chrom, xdata, pdfname="Chromatogram.pdf", aggregationFun = "max") {
0
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196
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197 if (aggregationFun == "sum")
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198 type="Total Ion Chromatograms"
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199 else
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200 type="Base Peak Intensity Chromatograms"
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201
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202 adjusted="Raw"
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203 if (hasAdjustedRtime(xdata))
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204 adjusted="Adjusted"
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205
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206 main <- paste(type,":",adjusted,"data")
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207
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208 pdf(pdfname, width=16, height=10)
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209
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210 # Color by group
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211 group_colors <- brewer.pal(3, "Set1")[1:length(unique(xdata$sample_group))]
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212 if (length(group_colors) > 1) {
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213 names(group_colors) <- unique(xdata$sample_group)
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214 plot(chrom, col = group_colors[chrom$sample_group], main=main)
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215 legend("topright", legend=names(group_colors), col=group_colors, cex=0.8, lty=1)
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216 }
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217
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218 # Color by sample
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219 plot(chrom, col = rainbow(length(xdata@phenoData@data$sample_name)), main=main)
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220 legend("topright", legend=xdata@phenoData@data$sample_name, col=rainbow(length(xdata@phenoData@data$sample_name)), cex=0.8, lty=1)
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221
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222 dev.off()
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223 }
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224
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225
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226 # Get the polarities from all the samples of a condition
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227 #@author Misharl Monsoor misharl.monsoor@sb-roscoff.fr ABiMS TEAM
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228 #@author Gildas Le Corguille lecorguille@sb-roscoff.fr ABiMS TEAM
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229 getSampleMetadata <- function(xdata=NULL, sampleMetadataOutput="sampleMetadata.tsv") {
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230 cat("Creating the sampleMetadata file...\n")
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231
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232 #Create the sampleMetada dataframe
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233 sampleMetadata <- xdata@phenoData@data
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234 rownames(sampleMetadata) <- NULL
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235 colnames(sampleMetadata) <- c("sampleMetadata", "class")
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236
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237 sampleNamesOrigin <- sampleMetadata$sampleMetadata
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238 sampleNamesMakeNames <- make.names(sampleNamesOrigin)
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239
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240 if (any(duplicated(sampleNamesMakeNames))) {
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241 write("\n\nERROR: Usually, R has trouble to deal with special characters in its column names, so it rename them using make.names().\nIn your case, at least two columns after the renaming obtain the same name, thus XCMS will collapse those columns per name.", stderr())
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242 for (sampleName in sampleNamesOrigin) {
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243 write(paste(sampleName,"\t->\t",make.names(sampleName)),stderr())
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244 }
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245 stop("\n\nERROR: One or more of your files will not be import by xcmsSet. It may due to bad characters in their filenames.")
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246 }
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247
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248 if (!all(sampleNamesOrigin == sampleNamesMakeNames)) {
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249 cat("\n\nWARNING: Usually, R has trouble to deal with special characters in its column names, so it rename them using make.names()\nIn your case, one or more sample names will be renamed in the sampleMetadata and dataMatrix files:\n")
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250 for (sampleName in sampleNamesOrigin) {
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251 cat(paste(sampleName,"\t->\t",make.names(sampleName),"\n"))
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252 }
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253 }
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254
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255 sampleMetadata$sampleMetadata <- sampleNamesMakeNames
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256
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257
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258 #For each sample file, the following actions are done
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259 for (fileIdx in 1:length(fileNames(xdata))) {
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260 #Check if the file is in the CDF format
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261 if (!mzR:::netCDFIsFile(fileNames(xdata))) {
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262
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263 # If the column isn't exist, with add one filled with NA
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264 if (is.null(sampleMetadata$polarity)) sampleMetadata$polarity <- NA
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265
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266 #Extract the polarity (a list of polarities)
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267 polarity <- fData(xdata)[fData(xdata)$fileIdx == fileIdx,"polarity"]
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268 #Verify if all the scans have the same polarity
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269 uniq_list <- unique(polarity)
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270 if (length(uniq_list)>1){
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271 polarity <- "mixed"
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272 } else {
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273 polarity <- as.character(uniq_list)
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274 }
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275
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276 #Set the polarity attribute
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277 sampleMetadata$polarity[fileIdx] <- polarity
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278 }
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279
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280 }
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281
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282 write.table(sampleMetadata, sep="\t", quote=FALSE, row.names=FALSE, file=sampleMetadataOutput)
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283
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284 return(list("sampleNamesOrigin"=sampleNamesOrigin, "sampleNamesMakeNames"=sampleNamesMakeNames))
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285
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286 }
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287
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288
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289 # This function check if xcms will found all the files
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290 #@author Gildas Le Corguille lecorguille@sb-roscoff.fr ABiMS TEAM
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291 checkFilesCompatibilityWithXcms <- function(directory) {
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292 cat("Checking files filenames compatibilities with xmcs...\n")
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293 # WHAT XCMS WILL FIND
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294 filepattern <- c("[Cc][Dd][Ff]", "[Nn][Cc]", "([Mm][Zz])?[Xx][Mm][Ll]","[Mm][Zz][Dd][Aa][Tt][Aa]", "[Mm][Zz][Mm][Ll]")
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295 filepattern <- paste(paste("\\.", filepattern, "$", sep=""),collapse="|")
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296 info <- file.info(directory)
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297 listed <- list.files(directory[info$isdir], pattern=filepattern, recursive=TRUE, full.names=TRUE)
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298 files <- c(directory[!info$isdir], listed)
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299 files_abs <- file.path(getwd(), files)
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300 exists <- file.exists(files_abs)
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301 files[exists] <- files_abs[exists]
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302 files[exists] <- sub("//","/",files[exists])
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303
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304 # WHAT IS ON THE FILESYSTEM
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305 filesystem_filepaths <- system(paste0("find \"$PWD/",directory,"\" -not -name '\\.*' -not -path '*conda-env*' -type f -name \"*\""), intern=T)
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306 filesystem_filepaths <- filesystem_filepaths[grep(filepattern, filesystem_filepaths, perl=T)]
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307
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308 # COMPARISON
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309 if (!is.na(table(filesystem_filepaths %in% files)["FALSE"])) {
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310 write("\n\nERROR: List of the files which will not be imported by xcmsSet",stderr())
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311 write(filesystem_filepaths[!(filesystem_filepaths %in% files)],stderr())
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312 stop("\n\nERROR: One or more of your files will not be import by xcmsSet. It may due to bad characters in their filenames.")
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313 }
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314 }
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315
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316
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317 #This function list the compatible files within the directory as xcms did
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318 #@author Gildas Le Corguille lecorguille@sb-roscoff.fr ABiMS TEAM
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319 getMSFiles <- function (directory) {
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320 filepattern <- c("[Cc][Dd][Ff]", "[Nn][Cc]", "([Mm][Zz])?[Xx][Mm][Ll]","[Mm][Zz][Dd][Aa][Tt][Aa]", "[Mm][Zz][Mm][Ll]")
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321 filepattern <- paste(paste("\\.", filepattern, "$", sep=""),collapse="|")
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322 info <- file.info(directory)
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323 listed <- list.files(directory[info$isdir], pattern=filepattern,recursive=TRUE, full.names=TRUE)
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324 files <- c(directory[!info$isdir], listed)
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325 exists <- file.exists(files)
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326 files <- files[exists]
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327 return(files)
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328 }
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329
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330 # This function check if XML contains special caracters. It also checks integrity and completness.
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331 #@author Misharl Monsoor misharl.monsoor@sb-roscoff.fr ABiMS TEAM
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332 checkXmlStructure <- function (directory) {
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333 cat("Checking XML structure...\n")
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334
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335 cmd <- paste0("IFS=$'\n'; for xml in $(find '",directory,"' -not -name '\\.*' -not -path '*conda-env*' -type f -iname '*.*ml*'); do if [ $(xmllint --nonet --noout \"$xml\" 2> /dev/null; echo $?) -gt 0 ]; then echo $xml;fi; done;")
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336 capture <- system(cmd, intern=TRUE)
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337
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338 if (length(capture)>0){
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339 #message=paste("The following mzXML or mzML file is incorrect, please check these files first:",capture)
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340 write("\n\nERROR: The following mzXML or mzML file(s) are incorrect, please check these files first:", stderr())
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341 write(capture, stderr())
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342 stop("ERROR: xcmsSet cannot continue with incorrect mzXML or mzML files")
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343 }
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344
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345 }
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346
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347
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348 # This function check if XML contain special characters
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349 #@author Misharl Monsoor misharl.monsoor@sb-roscoff.fr ABiMS TEAM
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350 deleteXmlBadCharacters<- function (directory) {
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351 cat("Checking Non ASCII characters in the XML...\n")
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352
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353 processed <- F
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354 l <- system( paste0("find '",directory, "' -not -name '\\.*' -not -path '*conda-env*' -type f -iname '*.*ml*'"), intern=TRUE)
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355 for (i in l){
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356 cmd <- paste("LC_ALL=C grep '[^ -~]' \"", i, "\"", sep="")
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357 capture <- suppressWarnings(system(cmd, intern=TRUE))
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358 if (length(capture)>0){
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359 cmd <- paste("perl -i -pe 's/[^[:ascii:]]//g;'",i)
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360 print( paste("WARNING: Non ASCII characters have been removed from the ",i,"file") )
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361 c <- system(cmd, intern=TRUE)
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362 capture <- ""
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363 processed <- T
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364 }
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365 }
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366 if (processed) cat("\n\n")
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367 return(processed)
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368 }
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369
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370
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371 # This function will compute MD5 checksum to check the data integrity
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372 #@author Gildas Le Corguille lecorguille@sb-roscoff.fr
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373 getMd5sum <- function (directory) {
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374 cat("Compute md5 checksum...\n")
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375 # WHAT XCMS WILL FIND
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376 filepattern <- c("[Cc][Dd][Ff]", "[Nn][Cc]", "([Mm][Zz])?[Xx][Mm][Ll]","[Mm][Zz][Dd][Aa][Tt][Aa]", "[Mm][Zz][Mm][Ll]")
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377 filepattern <- paste(paste("\\.", filepattern, "$", sep=""),collapse="|")
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378 info <- file.info(directory)
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379 listed <- list.files(directory[info$isdir], pattern=filepattern, recursive=TRUE, full.names=TRUE)
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380 files <- c(directory[!info$isdir], listed)
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381 exists <- file.exists(files)
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382 files <- files[exists]
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383
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384 library(tools)
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385
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386 #cat("\n\n")
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387
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388 return(as.matrix(md5sum(files)))
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389 }
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390
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391
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392 # This function get the raw file path from the arguments
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393 #@author Gildas Le Corguille lecorguille@sb-roscoff.fr
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394 getRawfilePathFromArguments <- function(singlefile, zipfile, args) {
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395 if (!is.null(args$zipfile)) zipfile <- args$zipfile
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396 if (!is.null(args$zipfilePositive)) zipfile <- args$zipfilePositive
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397 if (!is.null(args$zipfileNegative)) zipfile <- args$zipfileNegative
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398
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399 if (!is.null(args$singlefile_galaxyPath)) {
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400 singlefile_galaxyPaths <- args$singlefile_galaxyPath;
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401 singlefile_sampleNames <- args$singlefile_sampleName
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402 }
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403 if (!is.null(args$singlefile_galaxyPathPositive)) {
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404 singlefile_galaxyPaths <- args$singlefile_galaxyPathPositive;
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405 singlefile_sampleNames <- args$singlefile_sampleNamePositive
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406 }
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407 if (!is.null(args$singlefile_galaxyPathNegative)) {
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408 singlefile_galaxyPaths <- args$singlefile_galaxyPathNegative;
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409 singlefile_sampleNames <- args$singlefile_sampleNameNegative
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410 }
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411 if (exists("singlefile_galaxyPaths")){
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412 singlefile_galaxyPaths <- unlist(strsplit(singlefile_galaxyPaths,"\\|"))
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413 singlefile_sampleNames <- unlist(strsplit(singlefile_sampleNames,"\\|"))
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414
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415 singlefile <- NULL
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416 for (singlefile_galaxyPath_i in seq(1:length(singlefile_galaxyPaths))) {
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417 singlefile_galaxyPath <- singlefile_galaxyPaths[singlefile_galaxyPath_i]
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418 singlefile_sampleName <- singlefile_sampleNames[singlefile_galaxyPath_i]
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419 singlefile[[singlefile_sampleName]] <- singlefile_galaxyPath
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420 }
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421 }
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422 return(list(zipfile=zipfile, singlefile=singlefile))
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423 }
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424
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425
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426 # This function retrieve the raw file in the working directory
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427 # - if zipfile: unzip the file with its directory tree
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428 # - if singlefiles: set symlink with the good filename
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429 #@author Gildas Le Corguille lecorguille@sb-roscoff.fr
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430 retrieveRawfileInTheWorkingDirectory <- function(singlefile, zipfile) {
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431 if(!is.null(singlefile) && (length("singlefile")>0)) {
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432 for (singlefile_sampleName in names(singlefile)) {
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433 singlefile_galaxyPath <- singlefile[[singlefile_sampleName]]
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434 if(!file.exists(singlefile_galaxyPath)){
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435 error_message <- paste("Cannot access the sample:",singlefile_sampleName,"located:",singlefile_galaxyPath,". Please, contact your administrator ... if you have one!")
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436 print(error_message); stop(error_message)
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437 }
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438
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439 if (!suppressWarnings( try (file.link(singlefile_galaxyPath, singlefile_sampleName), silent=T)))
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440 file.copy(singlefile_galaxyPath, singlefile_sampleName)
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441
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442 }
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443 directory <- "."
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444
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445 }
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446 if(!is.null(zipfile) && (zipfile != "")) {
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447 if(!file.exists(zipfile)){
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448 error_message <- paste("Cannot access the Zip file:",zipfile,". Please, contact your administrator ... if you have one!")
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449 print(error_message)
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450 stop(error_message)
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451 }
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452
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453 #list all file in the zip file
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454 #zip_files <- unzip(zipfile,list=T)[,"Name"]
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455
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456 #unzip
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457 suppressWarnings(unzip(zipfile, unzip="unzip"))
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458
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459 #get the directory name
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460 suppressWarnings(filesInZip <- unzip(zipfile, list=T))
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461 directories <- unique(unlist(lapply(strsplit(filesInZip$Name,"/"), function(x) x[1])))
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462 directories <- directories[!(directories %in% c("__MACOSX")) & file.info(directories)$isdir]
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463 directory <- "."
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464 if (length(directories) == 1) directory <- directories
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465
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466 cat("files_root_directory\t",directory,"\n")
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lecorguille
parents:
diff changeset
467
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lecorguille
parents:
diff changeset
468 }
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lecorguille
parents:
diff changeset
469 return (directory)
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lecorguille
parents:
diff changeset
470 }
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lecorguille
parents:
diff changeset
471
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lecorguille
parents:
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472
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lecorguille
parents:
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473 # This function retrieve a xset like object
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lecorguille
parents:
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474 #@author Gildas Le Corguille lecorguille@sb-roscoff.fr
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lecorguille
parents:
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475 getxcmsSetObject <- function(xobject) {
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lecorguille
parents:
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476 # XCMS 1.x
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lecorguille
parents:
diff changeset
477 if (class(xobject) == "xcmsSet")
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lecorguille
parents:
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478 return (xobject)
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lecorguille
parents:
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479 # XCMS 3.x
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lecorguille
parents:
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480 if (class(xobject) == "XCMSnExp") {
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lecorguille
parents:
diff changeset
481 # Get the legacy xcmsSet object
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lecorguille
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482 suppressWarnings(xset <- as(xobject, 'xcmsSet'))
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lecorguille
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483 sampclass(xset) <- xset@phenoData$sample_group
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lecorguille
parents:
diff changeset
484 return (xset)
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lecorguille
parents:
diff changeset
485 }
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lecorguille
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486 }
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lecorguille
parents:
diff changeset
487
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lecorguille
parents:
diff changeset
488
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lecorguille
parents:
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489 #@TODO: remove this function as soon as we can use xcms 3.x.x from Bioconductor 3.7
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lecorguille
parents:
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490 # https://github.com/sneumann/xcms/issues/250
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lecorguille
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diff changeset
491 groupnamesW4M <- function(xdata, mzdec = 0, rtdec = 0) {
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lecorguille
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492 mzfmt <- paste("%.", mzdec, "f", sep = "")
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lecorguille
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diff changeset
493 rtfmt <- paste("%.", rtdec, "f", sep = "")
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lecorguille
parents:
diff changeset
494
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lecorguille
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diff changeset
495 gnames <- paste("M", sprintf(mzfmt, featureDefinitions(xdata)[,"mzmed"]), "T",
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lecorguille
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diff changeset
496 sprintf(rtfmt, featureDefinitions(xdata)[,"rtmed"]), sep = "")
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lecorguille
parents:
diff changeset
497
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lecorguille
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498 if (any(dup <- duplicated(gnames)))
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lecorguille
parents:
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499 for (dupname in unique(gnames[dup])) {
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lecorguille
parents:
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500 dupidx <- which(gnames == dupname)
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lecorguille
parents:
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501 gnames[dupidx] <- paste(gnames[dupidx], seq(along = dupidx), sep = "_")
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lecorguille
parents:
diff changeset
502 }
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lecorguille
parents:
diff changeset
503
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lecorguille
parents:
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504 return (gnames)
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lecorguille
parents:
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505 }
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lecorguille
parents:
diff changeset
506
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lecorguille
parents:
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507 #@TODO: remove this function as soon as we can use xcms 3.x.x from Bioconductor 3.7
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lecorguille
parents:
diff changeset
508 # https://github.com/sneumann/xcms/issues/247
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lecorguille
parents:
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509 .concatenate_XCMSnExp <- function(...) {
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lecorguille
parents:
diff changeset
510 x <- list(...)
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lecorguille
parents:
diff changeset
511 if (length(x) == 0)
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lecorguille
parents:
diff changeset
512 return(NULL)
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lecorguille
parents:
diff changeset
513 if (length(x) == 1)
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lecorguille
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diff changeset
514 return(x[[1]])
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lecorguille
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515 ## Check that all are XCMSnExp objects.
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lecorguille
parents:
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516 if (!all(unlist(lapply(x, function(z) is(z, "XCMSnExp")))))
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lecorguille
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517 stop("All passed objects should be 'XCMSnExp' objects")
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lecorguille
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518 new_x <- as(.concatenate_OnDiskMSnExp(...), "XCMSnExp")
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lecorguille
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519 ## If any of the XCMSnExp has alignment results or detected features drop
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lecorguille
parents:
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520 ## them!
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lecorguille
parents:
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521 x <- lapply(x, function(z) {
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lecorguille
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522 if (hasAdjustedRtime(z)) {
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lecorguille
parents:
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523 z <- dropAdjustedRtime(z)
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lecorguille
parents:
diff changeset
524 warning("Adjusted retention times found, had to drop them.")
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lecorguille
parents:
diff changeset
525 }
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lecorguille
parents:
diff changeset
526 if (hasFeatures(z)) {
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lecorguille
parents:
diff changeset
527 z <- dropFeatureDefinitions(z)
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lecorguille
parents:
diff changeset
528 warning("Feature definitions found, had to drop them.")
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lecorguille
parents:
diff changeset
529 }
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lecorguille
parents:
diff changeset
530 z
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lecorguille
parents:
diff changeset
531 })
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lecorguille
parents:
diff changeset
532 ## Combine peaks
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lecorguille
parents:
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533 fls <- lapply(x, fileNames)
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lecorguille
parents:
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534 startidx <- cumsum(lengths(fls))
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lecorguille
parents:
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535 pks <- lapply(x, chromPeaks)
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lecorguille
parents:
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536 procH <- lapply(x, processHistory)
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lecorguille
parents:
diff changeset
537 for (i in 2:length(fls)) {
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lecorguille
parents:
diff changeset
538 pks[[i]][, "sample"] <- pks[[i]][, "sample"] + startidx[i - 1]
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lecorguille
parents:
diff changeset
539 procH[[i]] <- lapply(procH[[i]], function(z) {
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lecorguille
parents:
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540 z@fileIndex <- as.integer(z@fileIndex + startidx[i - 1])
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lecorguille
parents:
diff changeset
541 z
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lecorguille
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diff changeset
542 })
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lecorguille
parents:
diff changeset
543 }
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lecorguille
parents:
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544 pks <- do.call(rbind, pks)
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lecorguille
parents:
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545 new_x@.processHistory <- unlist(procH)
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lecorguille
parents:
diff changeset
546 chromPeaks(new_x) <- pks
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lecorguille
parents:
diff changeset
547 if (validObject(new_x))
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lecorguille
parents:
diff changeset
548 new_x
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lecorguille
parents:
diff changeset
549 }
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lecorguille
parents:
diff changeset
550
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lecorguille
parents:
diff changeset
551 #@TODO: remove this function as soon as we can use xcms 3.x.x from Bioconductor 3.7
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lecorguille
parents:
diff changeset
552 # https://github.com/sneumann/xcms/issues/247
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lecorguille
parents:
diff changeset
553 .concatenate_OnDiskMSnExp <- function(...) {
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lecorguille
parents:
diff changeset
554 x <- list(...)
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lecorguille
parents:
diff changeset
555 if (length(x) == 0)
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lecorguille
parents:
diff changeset
556 return(NULL)
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lecorguille
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557 if (length(x) == 1)
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lecorguille
parents:
diff changeset
558 return(x[[1]])
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lecorguille
parents:
diff changeset
559 ## Check that all are XCMSnExp objects.
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lecorguille
parents:
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560 if (!all(unlist(lapply(x, function(z) is(z, "OnDiskMSnExp")))))
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lecorguille
parents:
diff changeset
561 stop("All passed objects should be 'OnDiskMSnExp' objects")
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lecorguille
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diff changeset
562 ## Check processingQueue
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563 procQ <- lapply(x, function(z) z@spectraProcessingQueue)
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564 new_procQ <- procQ[[1]]
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565 is_ok <- unlist(lapply(procQ, function(z)
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diff changeset
566 !is.character(all.equal(new_procQ, z))
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567 ))
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568 if (any(!is_ok)) {
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diff changeset
569 warning("Processing queues from the submitted objects differ! ",
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570 "Dropping the processing queue.")
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571 new_procQ <- list()
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572 }
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573 ## processingData
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574 fls <- lapply(x, function(z) z@processingData@files)
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575 startidx <- cumsum(lengths(fls))
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576 ## featureData
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lecorguille
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577 featd <- lapply(x, fData)
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578 ## Have to update the file index and the spectrum names.
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579 for (i in 2:length(featd)) {
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580 featd[[i]]$fileIdx <- featd[[i]]$fileIdx + startidx[i - 1]
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581 rownames(featd[[i]]) <- MSnbase:::formatFileSpectrumNames(
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582 fileIds = featd[[i]]$fileIdx,
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583 spectrumIds = featd[[i]]$spIdx,
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584 nSpectra = nrow(featd[[i]]),
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585 nFiles = length(unlist(fls))
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586 )
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587 }
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lecorguille
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588 featd <- do.call(rbind, featd)
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589 featd$spectrum <- 1:nrow(featd)
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590 ## experimentData
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591 expdata <- lapply(x, function(z) {
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592 ed <- z@experimentData
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593 data.frame(instrumentManufacturer = ed@instrumentManufacturer,
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594 instrumentModel = ed@instrumentModel,
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595 ionSource = ed@ionSource,
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596 analyser = ed@analyser,
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597 detectorType = ed@detectorType,
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598 stringsAsFactors = FALSE)
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diff changeset
599 })
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diff changeset
600 expdata <- do.call(rbind, expdata)
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diff changeset
601 expdata <- new("MIAPE",
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602 instrumentManufacturer = expdata$instrumentManufacturer,
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603 instrumentModel = expdata$instrumentModel,
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604 ionSource = expdata$ionSource,
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605 analyser = expdata$analyser,
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606 detectorType = expdata$detectorType)
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607
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608 ## protocolData
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609 protodata <- lapply(x, function(z) z@protocolData)
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610 if (any(unlist(lapply(protodata, nrow)) > 0))
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611 warning("Found non-empty protocol data, but merging protocol data is",
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612 " currently not supported. Skipped.")
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613 ## phenoData
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614 pdata <- do.call(rbind, lapply(x, pData))
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615 res <- new(
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616 "OnDiskMSnExp",
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617 phenoData = new("NAnnotatedDataFrame", data = pdata),
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618 featureData = new("AnnotatedDataFrame", featd),
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619 processingData = new("MSnProcess",
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620 processing = paste0("Concatenated [", date(), "]"),
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621 files = unlist(fls), smoothed = NA),
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622 experimentData = expdata,
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623 spectraProcessingQueue = new_procQ)
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624 if (validObject(res))
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625 res
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626 }
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627
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628 #@TODO: remove this function as soon as we can use xcms 3.x.x from Bioconductor 3.7
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629 # https://github.com/sneumann/xcms/issues/247
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630 c.XCMSnExp <- function(...) {
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631 .concatenate_XCMSnExp(...)
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632 }
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633
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634 #@TODO: remove this function as soon as we can use xcms 3.x.x from Bioconductor 3.7
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635 # https://github.com/sneumann/xcms/issues/247
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636 c.MSnbase <- function(...) {
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637 .concatenate_OnDiskMSnExp(...)
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638 }