Mercurial > repos > workflow4metabolomics > camera_combinexsannos
annotate lib.r @ 3:3bf04fc404d9 draft
"planemo upload commit e363c270e2f9d72cb0ede1a7f3bc61418b72c4c4"
author | workflow4metabolomics |
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date | Mon, 30 Mar 2020 10:21:30 -0400 |
parents | c4c13745e797 |
children | 4c4945bce185 |
rev | line source |
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1 # lib.r |
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2 |
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3 #@author G. Le Corguille |
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4 # solve an issue with batch if arguments are logical TRUE/FALSE |
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5 parseCommandArgs <- function(...) { |
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6 args <- batch::parseCommandArgs(...) |
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7 for (key in names(args)) { |
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8 if (args[key] %in% c("TRUE","FALSE")) |
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9 args[key] = as.logical(args[key]) |
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10 } |
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11 return(args) |
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12 } |
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13 |
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14 #@author G. Le Corguille |
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15 # This function will |
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16 # - load the packages |
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17 # - display the sessionInfo |
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18 loadAndDisplayPackages <- function(pkgs) { |
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19 for(pkg in pkgs) suppressPackageStartupMessages( stopifnot( library(pkg, quietly=TRUE, logical.return=TRUE, character.only=TRUE))) |
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20 |
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21 sessioninfo = sessionInfo() |
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22 cat(sessioninfo$R.version$version.string,"\n") |
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23 cat("Main packages:\n") |
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24 for (pkg in names(sessioninfo$otherPkgs)) { cat(paste(pkg,packageVersion(pkg)),"\t") }; cat("\n") |
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25 cat("Other loaded packages:\n") |
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26 for (pkg in names(sessioninfo$loadedOnly)) { cat(paste(pkg,packageVersion(pkg)),"\t") }; cat("\n") |
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27 } |
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28 |
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29 # This function retrieve a xset like object |
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30 #@author Gildas Le Corguille lecorguille@sb-roscoff.fr |
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31 getxcmsSetObject <- function(xobject) { |
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32 # XCMS 1.x |
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33 if (class(xobject) == "xcmsSet") |
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34 return (xobject) |
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35 # XCMS 3.x |
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36 if (class(xobject) == "XCMSnExp") { |
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37 # Get the legacy xcmsSet object |
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38 suppressWarnings(xset <- as(xobject, 'xcmsSet')) |
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39 if (is.null(xset@phenoData$sample_group)) |
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40 sampclass(xset) = "." |
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41 else |
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42 sampclass(xset) <- xset@phenoData$sample_group |
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43 if (!is.null(xset@phenoData$sample_name)) |
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44 rownames(xset@phenoData) = xset@phenoData$sample_name |
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45 return (xset) |
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46 } |
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47 } |
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48 |
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49 #@author G. Le Corguille |
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50 #The function create a pdf from the different png generated by diffreport |
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51 diffreport_png2pdf <- function(filebase) { |
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52 dir.create("pdf") |
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53 |
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54 pdfEicOutput = paste0("pdf/",filebase,"-eic_pdf.pdf") |
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55 pdfBoxOutput = paste0("pdf/",filebase,"-box_pdf.pdf") |
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56 |
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57 system(paste0("gm convert ",filebase,"_eic/*.png ",pdfEicOutput)) |
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58 system(paste0("gm convert ",filebase,"_box/*.png ",pdfBoxOutput)) |
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59 |
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60 } |
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61 |
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62 #@author G. Le Corguille |
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63 #The function create a zip archive from the different png generated by diffreport |
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64 diffreport_png2zip <- function() { |
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65 zip("eic.zip", dir(pattern="_eic"), zip=Sys.which("zip")) |
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66 zip("box.zip", dir(pattern="_box"), zip=Sys.which("zip")) |
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67 } |
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68 |
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69 #The function create a zip archive from the different tabular generated by diffreport |
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70 diffreport_tabular2zip <- function() { |
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71 zip("tabular.zip", dir(pattern="tabular/*"), zip=Sys.which("zip")) |
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72 } |
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73 |
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74 #@author G. Le Corguille |
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75 #This function convert if it is required the Retention Time in minutes |
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76 RTSecondToMinute <- function(variableMetadata, convertRTMinute) { |
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77 if (convertRTMinute){ |
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78 #converting the retention times (seconds) into minutes |
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79 print("converting the retention times into minutes in the variableMetadata") |
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80 variableMetadata[,"rt"]=variableMetadata[,"rt"]/60 |
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81 variableMetadata[,"rtmin"]=variableMetadata[,"rtmin"]/60 |
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82 variableMetadata[,"rtmax"]=variableMetadata[,"rtmax"]/60 |
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83 } |
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84 return (variableMetadata) |
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85 } |
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86 |
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87 #@author G. Le Corguille |
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88 #This function format ions identifiers |
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89 formatIonIdentifiers <- function(variableMetadata, numDigitsRT=0, numDigitsMZ=0) { |
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90 splitDeco = strsplit(as.character(variableMetadata$name),"_") |
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91 idsDeco = sapply(splitDeco, function(x) { deco=unlist(x)[2]; if (is.na(deco)) return ("") else return(paste0("_",deco)) }) |
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92 namecustom = make.unique(paste0("M",round(variableMetadata[,"mz"],numDigitsMZ),"T",round(variableMetadata[,"rt"],numDigitsRT),idsDeco)) |
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93 variableMetadata=cbind(name=variableMetadata$name, namecustom=namecustom, variableMetadata[,!(colnames(variableMetadata) %in% c("name"))]) |
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94 return(variableMetadata) |
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95 } |
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96 |
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97 #The function annotateDiffreport without the corr function which bugs |
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98 annotatediff <- function(xset=xset, args=args, variableMetadataOutput="variableMetadata.tsv") { |
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99 # Resolve the bug with x11, with the function png |
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100 options(bitmapType='cairo') |
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101 |
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102 #Check if the fillpeaks step has been done previously, if it hasn't, there is an error message and the execution is stopped. |
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103 res=try(is.null(xset@filled)) |
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104 |
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105 # ------ annot ------- |
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106 args$calcCiS=as.logical(args$calcCiS) |
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107 args$calcIso=as.logical(args$calcIso) |
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108 args$calcCaS=as.logical(args$calcCaS) |
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109 |
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110 # common parameters |
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111 args4annotate = list(object=xset, |
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112 nSlaves=args$nSlaves,sigma=args$sigma,perfwhm=args$perfwhm, |
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113 maxcharge=args$maxcharge,maxiso=args$maxiso,minfrac=args$minfrac, |
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114 ppm=args$ppm,mzabs=args$mzabs,quick=args$quick, |
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115 polarity=args$polarity,max_peaks=args$max_peaks,intval=args$intval) |
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116 |
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117 # quick == FALSE |
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118 if(args$quick==FALSE) { |
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119 args4annotate = append(args4annotate, |
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120 list(graphMethod=args$graphMethod,cor_eic_th=args$cor_eic_th,pval=args$pval, |
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121 calcCiS=args$calcCiS,calcIso=args$calcIso,calcCaS=args$calcCaS)) |
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122 # no ruleset |
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123 if (!is.null(args$multiplier)) { |
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124 args4annotate = append(args4annotate, |
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125 list(multiplier=args$multiplier)) |
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126 } |
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127 # ruleset |
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128 else { |
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129 rulset=read.table(args$rules, h=T, sep=";") |
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130 if (ncol(rulset) < 4) rulset=read.table(args$rules, h=T, sep="\t") |
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131 if (ncol(rulset) < 4) rulset=read.table(args$rules, h=T, sep=",") |
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132 if (ncol(rulset) < 4) { |
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133 error_message="Your ruleset file seems not well formatted. The column separators accepted are ; , and tabulation" |
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134 print(error_message) |
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135 stop(error_message) |
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136 } |
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137 |
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138 args4annotate = append(args4annotate, |
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139 list(rules=rulset)) |
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140 } |
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141 } |
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142 |
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143 |
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144 # launch annotate |
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145 xa = do.call("annotate", args4annotate) |
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146 peakList=getPeaklist(xa,intval=args$intval) |
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147 peakList=cbind(groupnames(xa@xcmsSet),peakList); colnames(peakList)[1] = c("name"); |
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148 |
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149 # --- Multi condition : diffreport --- |
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150 diffrepOri=NULL |
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151 if (!is.null(args$runDiffreport) & nlevels(sampclass(xset))>=2) { |
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152 #Check if the fillpeaks step has been done previously, if it hasn't, there is an error message and the execution is stopped. |
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153 res=try(is.null(xset@filled)) |
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154 classes=levels(sampclass(xset)) |
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155 x=1:(length(classes)-1) |
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156 for (i in seq(along=x) ) { |
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157 y=1:(length(classes)) |
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158 for (n in seq(along=y)){ |
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159 if(i+n <= length(classes)){ |
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160 filebase=paste(classes[i],class2=classes[i+n],sep="-vs-") |
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161 |
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162 diffrep=diffreport( |
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163 object=xset,class1=classes[i],class2=classes[i+n], |
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164 filebase=filebase,eicmax=args$eicmax,eicwidth=args$eicwidth, |
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165 sortpval=TRUE,value=args$value,h=args$h,w=args$w,mzdec=args$mzdec,missing=0) |
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166 |
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167 diffrepOri = diffrep |
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168 |
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169 # renamming of the column rtmed to rt to fit with camera peaklist function output |
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170 colnames(diffrep)[colnames(diffrep)=="rtmed"] <- "rt" |
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171 colnames(diffrep)[colnames(diffrep)=="mzmed"] <- "mz" |
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172 |
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173 # combines results and reorder columns |
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174 diffrep = merge(peakList, diffrep[,c("name","fold","tstat","pvalue")], by.x="name", by.y="name", sort=F) |
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175 diffrep = cbind(diffrep[,!(colnames(diffrep) %in% c(sampnames(xa@xcmsSet)))],diffrep[,(colnames(diffrep) %in% c(sampnames(xa@xcmsSet)))]) |
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176 |
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177 diffrep = RTSecondToMinute(diffrep, args$convertRTMinute) |
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178 diffrep = formatIonIdentifiers(diffrep, numDigitsRT=args$numDigitsRT, numDigitsMZ=args$numDigitsMZ) |
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179 |
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180 if(args$sortpval){ |
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181 diffrep=diffrep[order(diffrep$pvalue), ] |
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182 } |
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183 |
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184 dir.create("tabular", showWarnings = FALSE) |
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185 write.table(diffrep, sep="\t", quote=FALSE, row.names=FALSE, file=paste("tabular/",filebase,"_tsv.tabular",sep="")) |
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186 |
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187 if (args$eicmax != 0) { |
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188 if (args$png2 == "pdf") |
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189 diffreport_png2pdf(filebase) |
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190 if (args$png2 == "zip") |
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191 diffreport_png2zip() |
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192 } |
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193 } |
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194 } |
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195 } |
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196 if (args$tabular2 == "zip") |
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197 diffreport_tabular2zip() |
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198 } |
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199 |
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200 # --- variableMetadata --- |
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201 variableMetadata=peakList[,!(make.names(colnames(peakList)) %in% c(make.names(sampnames(xa@xcmsSet))))] |
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202 variableMetadata = RTSecondToMinute(variableMetadata, args$convertRTMinute) |
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203 variableMetadata = formatIonIdentifiers(variableMetadata, numDigitsRT=args$numDigitsRT, numDigitsMZ=args$numDigitsMZ) |
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204 # if we have 2 conditions, we keep stat of diffrep |
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205 if (!is.null(args$runDiffreport) & nlevels(sampclass(xset))==2) { |
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206 variableMetadata = merge(variableMetadata, diffrep[,c("name","fold","tstat","pvalue")],by.x="name", by.y="name", sort=F) |
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207 if(exists("args[[\"sortpval\"]]")){ |
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208 variableMetadata=variableMetadata[order(variableMetadata$pvalue), ] |
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209 } |
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210 } |
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211 |
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212 variableMetadataOri=variableMetadata |
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213 write.table(variableMetadata, sep="\t", quote=FALSE, row.names=FALSE, file=variableMetadataOutput) |
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214 |
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215 return(list("xa"=xa,"diffrep"=diffrepOri,"variableMetadata"=variableMetadataOri)); |
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216 |
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217 } |
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218 |
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219 |
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220 combinexsAnnos_function <- function(xaP, xaN, diffrepP=NULL,diffrepN=NULL, |
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221 pos=TRUE,tol=2,ruleset=NULL,keep_meta=TRUE, convertRTMinute=F, numDigitsMZ=0, |
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222 numDigitsRT=0, variableMetadataOutput="variableMetadata.tsv"){ |
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223 |
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224 #Load the two Rdata to extract the xset objects from positive and negative mode |
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225 cat("\tObject xset from positive mode\n") |
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226 print(xaP) |
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227 cat("\n") |
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228 |
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229 cat("\tObject xset from negative mode\n") |
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230 print(xaN) |
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231 cat("\n") |
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232 |
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233 cat("\n") |
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234 cat("\tCombining...\n") |
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235 #Convert the string to numeric for creating matrix |
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236 row=as.numeric(strsplit(ruleset,",")[[1]][1]) |
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237 column=as.numeric(strsplit(ruleset,",")[[1]][2]) |
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238 ruleset=cbind(row,column) |
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239 #Test if the file comes from an older version tool |
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240 if ((!is.null(xaP)) & (!is.null(xaN))) { |
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241 #Launch the combinexsannos function from CAMERA |
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242 cAnnot=combinexsAnnos(xaP, xaN,pos=pos,tol=tol,ruleset=ruleset) |
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243 } else { |
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244 stop("You must relauch the CAMERA.annotate step with the lastest version.") |
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245 } |
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246 |
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247 if(pos){ |
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248 xa=xaP |
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249 mode="neg. Mode" |
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250 } else { |
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251 xa=xaN |
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252 mode="pos. Mode" |
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253 } |
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254 |
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255 peakList=getPeaklist(xa) |
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256 peakList=cbind(groupnames(xa@xcmsSet),peakList); colnames(peakList)[1] = c("name"); |
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257 variableMetadata=cbind(peakList, cAnnot[, c("isotopes", "adduct", "pcgroup",mode)]); |
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258 variableMetadata=variableMetadata[,!(colnames(variableMetadata) %in% c(sampnames(xa@xcmsSet)))] |
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259 |
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260 #Test if there are more than two classes (conditions) |
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261 if ( nlevels(sampclass(xaP@xcmsSet))==2 & (!is.null(diffrepN)) & (!is.null(diffrepP))) { |
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262 diffrepP = diffrepP[,c("name","fold","tstat","pvalue")]; colnames(diffrepP) = paste("P.",colnames(diffrepP),sep="") |
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263 diffrepN = diffrepN[,c("name","fold","tstat","pvalue")]; colnames(diffrepN) = paste("N.",colnames(diffrepN),sep="") |
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264 |
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265 variableMetadata = merge(variableMetadata, diffrepP, by.x="name", by.y="P.name") |
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266 variableMetadata = merge(variableMetadata, diffrepN, by.x="name", by.y="N.name") |
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267 } |
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268 |
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269 rownames(variableMetadata) = NULL |
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270 #TODO: checker |
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271 #colnames(variableMetadata)[1:2] = c("name","mz/rt"); |
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272 |
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273 variableMetadata = RTSecondToMinute(variableMetadata, convertRTMinute) |
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274 variableMetadata = formatIonIdentifiers(variableMetadata, numDigitsRT=numDigitsRT, numDigitsMZ=numDigitsMZ) |
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275 |
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276 #If the user want to keep only the metabolites which match a difference |
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277 if(keep_meta){ |
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278 variableMetadata=variableMetadata[variableMetadata[,c(mode)]!="",] |
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279 } |
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280 |
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281 #Write the output into a tsv file |
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282 write.table(variableMetadata, sep="\t", quote=FALSE, row.names=FALSE, file=variableMetadataOutput) |
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283 return(variableMetadata); |
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284 |
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285 } |
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286 |
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287 # This function get the raw file path from the arguments |
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288 getRawfilePathFromArguments <- function(singlefile, zipfile, args) { |
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289 if (!is.null(args$zipfile)) zipfile = args$zipfile |
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290 if (!is.null(args$zipfilePositive)) zipfile = args$zipfilePositive |
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291 if (!is.null(args$zipfileNegative)) zipfile = args$zipfileNegative |
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292 |
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293 if (!is.null(args$singlefile_galaxyPath)) { |
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294 singlefile_galaxyPaths = args$singlefile_galaxyPath; |
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295 singlefile_sampleNames = args$singlefile_sampleName |
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296 } |
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297 if (!is.null(args$singlefile_galaxyPathPositive)) { |
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298 singlefile_galaxyPaths = args$singlefile_galaxyPathPositive; |
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299 singlefile_sampleNames = args$singlefile_sampleNamePositive |
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300 } |
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301 if (!is.null(args$singlefile_galaxyPathNegative)) { |
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302 singlefile_galaxyPaths = args$singlefile_galaxyPathNegative; |
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303 singlefile_sampleNames = args$singlefile_sampleNameNegative |
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304 } |
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305 if (exists("singlefile_galaxyPaths")){ |
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306 singlefile_galaxyPaths = unlist(strsplit(singlefile_galaxyPaths,",")) |
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307 singlefile_sampleNames = unlist(strsplit(singlefile_sampleNames,",")) |
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308 |
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309 singlefile=NULL |
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310 for (singlefile_galaxyPath_i in seq(1:length(singlefile_galaxyPaths))) { |
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311 singlefile_galaxyPath=singlefile_galaxyPaths[singlefile_galaxyPath_i] |
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312 singlefile_sampleName=singlefile_sampleNames[singlefile_galaxyPath_i] |
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313 singlefile[[singlefile_sampleName]] = singlefile_galaxyPath |
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314 } |
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315 } |
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316 for (argument in c("zipfile", "zipfilePositive", "zipfileNegative", |
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317 "singlefile_galaxyPath", "singlefile_sampleName", |
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318 "singlefile_galaxyPathPositive", "singlefile_sampleNamePositive", |
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319 "singlefile_galaxyPathNegative","singlefile_sampleNameNegative")) { |
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320 args[[argument]]=NULL |
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321 } |
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322 return(list(zipfile=zipfile, singlefile=singlefile, args=args)) |
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323 } |
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324 |
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325 |
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326 # This function retrieve the raw file in the working directory |
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327 # - if zipfile: unzip the file with its directory tree |
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328 # - if singlefiles: set symlink with the good filename |
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329 retrieveRawfileInTheWorkingDirectory <- function(singlefile, zipfile) { |
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330 if(!is.null(singlefile) && (length("singlefile")>0)) { |
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331 for (singlefile_sampleName in names(singlefile)) { |
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332 singlefile_galaxyPath = singlefile[[singlefile_sampleName]] |
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333 if(!file.exists(singlefile_galaxyPath)){ |
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334 error_message=paste("Cannot access the sample:",singlefile_sampleName,"located:",singlefile_galaxyPath,". Please, contact your administrator ... if you have one!") |
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335 print(error_message); stop(error_message) |
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336 } |
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337 |
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338 file.symlink(singlefile_galaxyPath,singlefile_sampleName) |
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339 } |
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340 directory = "." |
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341 |
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342 } |
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343 if(!is.null(zipfile) && (zipfile!="")) { |
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344 if(!file.exists(zipfile)){ |
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345 error_message=paste("Cannot access the Zip file:",zipfile,". Please, contact your administrator ... if you have one!") |
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346 print(error_message) |
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347 stop(error_message) |
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348 } |
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349 |
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350 #list all file in the zip file |
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351 #zip_files=unzip(zipfile,list=T)[,"Name"] |
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352 |
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353 #unzip |
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354 suppressWarnings(unzip(zipfile, unzip="unzip")) |
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355 |
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356 #get the directory name |
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357 filesInZip=unzip(zipfile, list=T); |
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358 directories=unique(unlist(lapply(strsplit(filesInZip$Name,"/"), function(x) x[1]))); |
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359 directories=directories[!(directories %in% c("__MACOSX")) & file.info(directories)$isdir] |
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360 directory = "." |
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361 if (length(directories) == 1) directory = directories |
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362 |
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363 cat("files_root_directory\t",directory,"\n") |
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364 |
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365 } |
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366 return (directory) |
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367 } |
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368 |