Mercurial > repos > mmonsoor > camera_combinexsannos
annotate lib.r @ 10:479a83f62863 draft
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author | lecorguille |
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date | Thu, 01 Mar 2018 08:29:55 -0500 |
parents | 198b035d4848 |
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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 #The function create a pdf from the different png generated by diffreport |
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5 diffreport_png2pdf <- function(filebase) { |
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6 dir.create("pdf") |
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7 |
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8 pdfEicOutput = paste0("pdf/",filebase,"-eic_pdf.pdf") |
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9 pdfBoxOutput = paste0("pdf/",filebase,"-box_pdf.pdf") |
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10 |
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11 system(paste0("gm convert ",filebase,"_eic/*.png ",pdfEicOutput)) |
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12 system(paste0("gm convert ",filebase,"_box/*.png ",pdfBoxOutput)) |
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13 |
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14 } |
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15 |
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16 #@author G. Le Corguille |
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17 #This function convert if it is required the Retention Time in minutes |
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18 RTSecondToMinute <- function(variableMetadata, convertRTMinute) { |
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19 if (convertRTMinute){ |
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20 #converting the retention times (seconds) into minutes |
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21 print("converting the retention times into minutes in the variableMetadata") |
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22 variableMetadata[,"rt"]=variableMetadata[,"rt"]/60 |
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23 variableMetadata[,"rtmin"]=variableMetadata[,"rtmin"]/60 |
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24 variableMetadata[,"rtmax"]=variableMetadata[,"rtmax"]/60 |
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25 } |
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26 return (variableMetadata) |
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27 } |
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28 |
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29 #@author G. Le Corguille |
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30 #This function format ions identifiers |
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31 formatIonIdentifiers <- function(variableMetadata, numDigitsRT=0, numDigitsMZ=0) { |
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32 splitDeco = strsplit(as.character(variableMetadata$name),"_") |
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33 idsDeco = sapply(splitDeco, function(x) { deco=unlist(x)[2]; if (is.na(deco)) return ("") else return(paste0("_",deco)) }) |
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34 namecustom = make.unique(paste0("M",round(variableMetadata[,"mz"],numDigitsMZ),"T",round(variableMetadata[,"rt"],numDigitsRT),idsDeco)) |
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35 variableMetadata=cbind(name=variableMetadata$name, namecustom=namecustom, variableMetadata[,!(colnames(variableMetadata) %in% c("name"))]) |
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36 return(variableMetadata) |
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37 } |
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38 |
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39 #The function annotateDiffreport without the corr function which bugs |
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40 annotatediff <- function(xset=xset, listArguments=listArguments, variableMetadataOutput="variableMetadata.tsv", dataMatrixOutput="dataMatrix.tsv") { |
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41 # Resolve the bug with x11, with the function png |
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42 options(bitmapType='cairo') |
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43 |
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44 #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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45 res=try(is.null(xset@filled)) |
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46 |
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47 # ------ annot ------- |
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48 listArguments[["calcCiS"]]=as.logical(listArguments[["calcCiS"]]) |
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49 listArguments[["calcIso"]]=as.logical(listArguments[["calcIso"]]) |
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50 listArguments[["calcCaS"]]=as.logical(listArguments[["calcCaS"]]) |
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51 |
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52 # common parameters |
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53 listArguments4annotate = list(object=xset, |
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54 nSlaves=listArguments[["nSlaves"]],sigma=listArguments[["sigma"]],perfwhm=listArguments[["perfwhm"]], |
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55 maxcharge=listArguments[["maxcharge"]],maxiso=listArguments[["maxiso"]],minfrac=listArguments[["minfrac"]], |
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56 ppm=listArguments[["ppm"]],mzabs=listArguments[["mzabs"]],quick=listArguments[["quick"]], |
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57 polarity=listArguments[["polarity"]],max_peaks=listArguments[["max_peaks"]],intval=listArguments[["intval"]]) |
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58 |
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59 # quick == FALSE |
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60 if(listArguments[["quick"]]==FALSE) { |
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61 listArguments4annotate = append(listArguments4annotate, |
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62 list(graphMethod=listArguments[["graphMethod"]],cor_eic_th=listArguments[["cor_eic_th"]],pval=listArguments[["pval"]], |
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63 calcCiS=listArguments[["calcCiS"]],calcIso=listArguments[["calcIso"]],calcCaS=listArguments[["calcCaS"]])) |
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64 # no ruleset |
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65 if (!is.null(listArguments[["multiplier"]])) { |
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66 listArguments4annotate = append(listArguments4annotate, |
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67 list(multiplier=listArguments[["multiplier"]])) |
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68 } |
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69 # ruleset |
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70 else { |
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71 rulset=read.table(listArguments[["rules"]], h=T, sep=";") |
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72 if (ncol(rulset) < 4) rulset=read.table(listArguments[["rules"]], h=T, sep="\t") |
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73 if (ncol(rulset) < 4) rulset=read.table(listArguments[["rules"]], h=T, sep=",") |
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74 if (ncol(rulset) < 4) { |
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75 error_message="Your ruleset file seems not well formatted. The column separators accepted are ; , and tabulation" |
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76 print(error_message) |
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77 stop(error_message) |
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78 } |
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79 |
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80 listArguments4annotate = append(listArguments4annotate, |
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81 list(rules=rulset)) |
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82 } |
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83 } |
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84 |
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85 |
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86 # launch annotate |
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87 xa = do.call("annotate", listArguments4annotate) |
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88 peakList=getPeaklist(xa,intval=listArguments[["intval"]]) |
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89 peakList=cbind(groupnames(xa@xcmsSet),peakList); colnames(peakList)[1] = c("name"); |
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90 |
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91 # --- dataMatrix --- |
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92 dataMatrix = peakList[,(make.names(colnames(peakList)) %in% c("name", make.names(sampnames(xa@xcmsSet))))] |
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93 write.table(dataMatrix, sep="\t", quote=FALSE, row.names=FALSE, file=dataMatrixOutput) |
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94 |
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95 |
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96 # --- Multi condition : diffreport --- |
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97 diffrepOri=NULL |
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98 if (!is.null(listArguments[["runDiffreport"]]) & nlevels(sampclass(xset))>=2) { |
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99 #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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100 res=try(is.null(xset@filled)) |
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101 classes=levels(sampclass(xset)) |
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102 x=1:(length(classes)-1) |
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103 for (i in seq(along=x) ) { |
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104 y=1:(length(classes)) |
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105 for (n in seq(along=y)){ |
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106 if(i+n <= length(classes)){ |
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107 filebase=paste(classes[i],class2=classes[i+n],sep="-vs-") |
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108 |
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109 diffrep=diffreport(object=xset,class1=classes[i],class2=classes[i+n],filebase=filebase,eicmax=listArguments[["eicmax"]],eicwidth=listArguments[["eicwidth"]],sortpval=TRUE,value=listArguments[["value"]],h=listArguments[["h"]],w=listArguments[["w"]],mzdec=listArguments[["mzdec"]]) |
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110 |
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111 diffrepOri = diffrep |
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112 |
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113 # renamming of the column rtmed to rt to fit with camera peaklist function output |
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114 colnames(diffrep)[colnames(diffrep)=="rtmed"] <- "rt" |
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115 colnames(diffrep)[colnames(diffrep)=="mzmed"] <- "mz" |
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116 |
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117 # combines results and reorder columns |
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118 diffrep = merge(peakList, diffrep[,c("name","fold","tstat","pvalue")], by.x="name", by.y="name", sort=F) |
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119 diffrep = cbind(diffrep[,!(colnames(diffrep) %in% c(sampnames(xa@xcmsSet)))],diffrep[,(colnames(diffrep) %in% c(sampnames(xa@xcmsSet)))]) |
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120 |
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121 diffrep = RTSecondToMinute(diffrep, listArguments[["convertRTMinute"]]) |
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122 diffrep = formatIonIdentifiers(diffrep, numDigitsRT=listArguments[["numDigitsRT"]], numDigitsMZ=listArguments[["numDigitsMZ"]]) |
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123 |
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124 if(listArguments[["sortpval"]]){ |
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125 diffrep=diffrep[order(diffrep$pvalue), ] |
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126 } |
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127 |
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128 dir.create("tabular") |
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129 write.table(diffrep, sep="\t", quote=FALSE, row.names=FALSE, file=paste("tabular/",filebase,"_tsv.tabular",sep="")) |
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130 |
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131 if (listArguments[["eicmax"]] != 0) { |
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132 diffreport_png2pdf(filebase) |
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133 } |
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134 } |
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135 } |
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136 } |
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137 } |
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138 |
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139 |
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140 # --- variableMetadata --- |
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141 variableMetadata=peakList[,!(make.names(colnames(peakList)) %in% c(make.names(sampnames(xa@xcmsSet))))] |
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142 variableMetadata = RTSecondToMinute(variableMetadata, listArguments[["convertRTMinute"]]) |
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143 variableMetadata = formatIonIdentifiers(variableMetadata, numDigitsRT=listArguments[["numDigitsRT"]], numDigitsMZ=listArguments[["numDigitsMZ"]]) |
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144 # if we have 2 conditions, we keep stat of diffrep |
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145 if (!is.null(listArguments[["runDiffreport"]]) & nlevels(sampclass(xset))==2) { |
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146 variableMetadata = merge(variableMetadata, diffrep[,c("name","fold","tstat","pvalue")],by.x="name", by.y="name", sort=F) |
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147 if(exists("listArguments[[\"sortpval\"]]")){ |
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148 variableMetadata=variableMetadata[order(variableMetadata$pvalue), ] |
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149 } |
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150 } |
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151 |
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152 variableMetadataOri=variableMetadata |
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153 write.table(variableMetadata, sep="\t", quote=FALSE, row.names=FALSE, file=variableMetadataOutput) |
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154 |
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155 return(list("xa"=xa,"diffrep"=diffrepOri,"variableMetadata"=variableMetadataOri)); |
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156 |
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157 } |
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158 |
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159 |
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160 combinexsAnnos_function <- function(xaP, xaN, listOFlistArgumentsP,listOFlistArgumentsN, diffrepP=NULL,diffrepN=NULL,pos=TRUE,tol=2,ruleset=NULL,keep_meta=TRUE, convertRTMinute=F, numDigitsMZ=0, numDigitsRT=0, variableMetadataOutput="variableMetadata.tsv"){ |
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161 |
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162 #Load the two Rdata to extract the xset objects from positive and negative mode |
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163 cat("\tObject xset from positive mode\n") |
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164 print(xaP) |
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165 cat("\n") |
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166 |
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167 cat("\tObject xset from negative mode\n") |
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168 print(xaN) |
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169 cat("\n") |
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170 |
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171 cat("\n") |
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172 cat("\tCombining...\n") |
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173 #Convert the string to numeric for creating matrix |
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174 row=as.numeric(strsplit(ruleset,",")[[1]][1]) |
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175 column=as.numeric(strsplit(ruleset,",")[[1]][2]) |
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176 ruleset=cbind(row,column) |
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177 #Test if the file comes from an older version tool |
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178 if ((!is.null(xaP)) & (!is.null(xaN))) { |
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179 #Launch the combinexsannos function from CAMERA |
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180 cAnnot=combinexsAnnos(xaP, xaN,pos=pos,tol=tol,ruleset=ruleset) |
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181 } else { |
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182 stop("You must relauch the CAMERA.annotate step with the lastest version.") |
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183 } |
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184 |
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185 if(pos){ |
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186 xa=xaP |
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187 listOFlistArgumentsP=listOFlistArguments |
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188 mode="neg. Mode" |
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189 } else { |
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190 xa=xaN |
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191 listOFlistArgumentsN=listOFlistArguments |
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192 mode="pos. Mode" |
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193 } |
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194 |
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195 peakList=getPeaklist(xa) |
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196 peakList=cbind(groupnames(xa@xcmsSet),peakList); colnames(peakList)[1] = c("name"); |
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197 variableMetadata=cbind(peakList, cAnnot[, c("isotopes", "adduct", "pcgroup",mode)]); |
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198 variableMetadata=variableMetadata[,!(colnames(variableMetadata) %in% c(sampnames(xa@xcmsSet)))] |
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199 |
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200 #Test if there are more than two classes (conditions) |
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201 if ( nlevels(sampclass(xaP@xcmsSet))==2 & (!is.null(diffrepN)) & (!is.null(diffrepP))) { |
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202 diffrepP = diffrepP[,c("name","fold","tstat","pvalue")]; colnames(diffrepP) = paste("P.",colnames(diffrepP),sep="") |
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203 diffrepN = diffrepN[,c("name","fold","tstat","pvalue")]; colnames(diffrepN) = paste("N.",colnames(diffrepN),sep="") |
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204 |
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205 variableMetadata = merge(variableMetadata, diffrepP, by.x="name", by.y="P.name") |
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206 variableMetadata = merge(variableMetadata, diffrepN, by.x="name", by.y="N.name") |
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207 } |
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208 |
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209 rownames(variableMetadata) = NULL |
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210 #TODO: checker |
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211 #colnames(variableMetadata)[1:2] = c("name","mz/rt"); |
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212 |
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213 variableMetadata = RTSecondToMinute(variableMetadata, convertRTMinute) |
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214 variableMetadata = formatIonIdentifiers(variableMetadata, numDigitsRT=numDigitsRT, numDigitsMZ=numDigitsMZ) |
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215 |
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216 #If the user want to keep only the metabolites which match a difference |
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217 if(keep_meta){ |
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218 variableMetadata=variableMetadata[variableMetadata[,c(mode)]!="",] |
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219 } |
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220 |
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221 #Write the output into a tsv file |
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222 write.table(variableMetadata, sep="\t", quote=FALSE, row.names=FALSE, file=variableMetadataOutput) |
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223 return(variableMetadata); |
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224 |
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225 } |
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226 |
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227 # This function get the raw file path from the arguments |
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228 getRawfilePathFromArguments <- function(singlefile, zipfile, listArguments) { |
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229 if (!is.null(listArguments[["zipfile"]])) zipfile = listArguments[["zipfile"]] |
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230 if (!is.null(listArguments[["zipfilePositive"]])) zipfile = listArguments[["zipfilePositive"]] |
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231 if (!is.null(listArguments[["zipfileNegative"]])) zipfile = listArguments[["zipfileNegative"]] |
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232 |
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233 if (!is.null(listArguments[["singlefile_galaxyPath"]])) { |
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234 singlefile_galaxyPaths = listArguments[["singlefile_galaxyPath"]]; |
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235 singlefile_sampleNames = listArguments[["singlefile_sampleName"]] |
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236 } |
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237 if (!is.null(listArguments[["singlefile_galaxyPathPositive"]])) { |
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238 singlefile_galaxyPaths = listArguments[["singlefile_galaxyPathPositive"]]; |
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239 singlefile_sampleNames = listArguments[["singlefile_sampleNamePositive"]] |
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240 } |
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241 if (!is.null(listArguments[["singlefile_galaxyPathNegative"]])) { |
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242 singlefile_galaxyPaths = listArguments[["singlefile_galaxyPathNegative"]]; |
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243 singlefile_sampleNames = listArguments[["singlefile_sampleNameNegative"]] |
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244 } |
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245 if (exists("singlefile_galaxyPaths")){ |
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246 singlefile_galaxyPaths = unlist(strsplit(singlefile_galaxyPaths,",")) |
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247 singlefile_sampleNames = unlist(strsplit(singlefile_sampleNames,",")) |
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248 |
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249 singlefile=NULL |
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250 for (singlefile_galaxyPath_i in seq(1:length(singlefile_galaxyPaths))) { |
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251 singlefile_galaxyPath=singlefile_galaxyPaths[singlefile_galaxyPath_i] |
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252 singlefile_sampleName=singlefile_sampleNames[singlefile_galaxyPath_i] |
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253 singlefile[[singlefile_sampleName]] = singlefile_galaxyPath |
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254 } |
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255 } |
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256 for (argument in c("zipfile","zipfilePositive","zipfileNegative","singlefile_galaxyPath","singlefile_sampleName","singlefile_galaxyPathPositive","singlefile_sampleNamePositive","singlefile_galaxyPathNegative","singlefile_sampleNameNegative")) { |
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257 listArguments[[argument]]=NULL |
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258 } |
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259 return(list(zipfile=zipfile, singlefile=singlefile, listArguments=listArguments)) |
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260 } |
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261 |
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262 |
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263 # This function retrieve the raw file in the working directory |
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264 # - if zipfile: unzip the file with its directory tree |
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265 # - if singlefiles: set symlink with the good filename |
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266 retrieveRawfileInTheWorkingDirectory <- function(singlefile, zipfile) { |
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267 if(!is.null(singlefile) && (length("singlefile")>0)) { |
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268 for (singlefile_sampleName in names(singlefile)) { |
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269 singlefile_galaxyPath = singlefile[[singlefile_sampleName]] |
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270 if(!file.exists(singlefile_galaxyPath)){ |
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271 error_message=paste("Cannot access the sample:",singlefile_sampleName,"located:",singlefile_galaxyPath,". Please, contact your administrator ... if you have one!") |
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272 print(error_message); stop(error_message) |
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273 } |
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274 |
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275 file.symlink(singlefile_galaxyPath,singlefile_sampleName) |
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276 } |
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277 directory = "." |
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278 |
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279 } |
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280 if(!is.null(zipfile) && (zipfile!="")) { |
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281 if(!file.exists(zipfile)){ |
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282 error_message=paste("Cannot access the Zip file:",zipfile,". Please, contact your administrator ... if you have one!") |
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283 print(error_message) |
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284 stop(error_message) |
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285 } |
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286 |
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287 #list all file in the zip file |
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288 #zip_files=unzip(zipfile,list=T)[,"Name"] |
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289 |
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290 #unzip |
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291 suppressWarnings(unzip(zipfile, unzip="unzip")) |
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292 |
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293 #get the directory name |
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294 filesInZip=unzip(zipfile, list=T); |
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295 directories=unique(unlist(lapply(strsplit(filesInZip$Name,"/"), function(x) x[1]))); |
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296 directories=directories[!(directories %in% c("__MACOSX")) & file.info(directories)$isdir] |
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297 directory = "." |
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298 if (length(directories) == 1) directory = directories |
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299 |
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300 cat("files_root_directory\t",directory,"\n") |
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301 |
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302 } |
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303 return (directory) |
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304 } |