Mercurial > repos > pieterlukasse > prims_metabolomics
annotate xcms_get_alignment_eic.r @ 58:a79599cd2a9c
fix for xcms support in msclust
author | pieter.lukasse@wur.nl |
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date | Fri, 12 Dec 2014 12:07:30 +0100 |
parents | f772a5caa86a |
children | 35f506f30ae4 |
rev | line source |
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49
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1 # shows all alignment results in a rt region |
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2 ## read args: |
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3 args <- commandArgs(TRUE) |
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4 # xset data: |
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5 args.xsetData <- args[1] |
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6 |
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7 args.rtStart <- strtoi(args[2]) |
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8 args.rtEnd <- strtoi(args[3]) |
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9 |
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10 # limit max diff to 600 and minNrSamples to at least 2 : |
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11 if (args.rtEnd - args.rtStart > 600) |
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12 stop("The RT window should be <= 600") |
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13 |
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14 args.minNrSamples <- strtoi(args[4]) #min nr samples |
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15 if (args.minNrSamples < 2) |
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16 stop("Set 'Minimum number of samples' to 2 or higher") |
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17 |
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18 |
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19 args.sampleNames <- strsplit(args[5], ",")[[1]] |
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20 # trim leading and trailing spaces: |
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21 args.sampleNames <- gsub("^\\s+|\\s+$", "", args.sampleNames) |
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22 |
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23 ## report files |
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24 args.htmlReportFile <- args[6] |
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25 args.htmlReportFile.files_path <- args[7] |
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26 |
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27 |
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28 if (length(args) == 8) |
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29 { |
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30 args.outLogFile <- args[8] |
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31 # suppress messages: |
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32 # Send all STDERR to STDOUT using sink() see http://mazamascience.com/WorkingWithData/?p=888 |
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33 msg <- file(args.outLogFile, open="wt") |
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34 sink(msg, type="message") |
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35 sink(msg, type="output") |
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36 } |
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37 |
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38 |
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39 |
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40 tryCatch( |
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41 { |
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42 library(metaMS) |
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43 |
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44 # load the xset data : |
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45 xsetData <- readRDS(args.xsetData) |
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46 # if here to support both scenarios: |
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47 if ("xcmsSet" %in% slotNames(xsetData) ) |
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48 { |
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49 xsetData <- xsetData@xcmsSet |
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50 } |
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51 |
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52 # report |
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53 dir.create(file.path(args.htmlReportFile.files_path), showWarnings = FALSE, recursive = TRUE) |
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54 message(paste("\nGenerating report.........in ", args.htmlReportFile.files_path)) |
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55 |
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56 write(paste("<html><body><h1>Extracted Ion Chromatograms (EIC) of alignments with peaks in ",args.minNrSamples, " or more samples</h1>"), |
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57 file=args.htmlReportFile) |
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58 |
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59 gt <- groups(xsetData) |
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60 message("\nParsed groups... ") |
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61 groupidx1 <- which(gt[,"rtmed"] > args.rtStart & gt[,"rtmed"] < args.rtEnd & gt[,"npeaks"] >= args.minNrSamples) # this should be only on samples selected |
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62 |
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63 if (length(groupidx1) > 0) |
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64 { |
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65 message("\nGetting EIC... ") |
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66 eiccor <- getEIC(xsetData, groupidx = c(groupidx1), sampleidx=args.sampleNames) |
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67 #eicraw <- getEIC(xsetData, groupidx = c(groupidx1), sampleidx=args.sampleNames, rt = "raw") |
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68 |
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69 #sampleNamesIdx <- which(sampnames(LC$xset@xcmsSet) %in% args.sampleNames, arr.ind = TRUE) |
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70 #or (from bioconductor code for getEIC): NB: this is assuming sample indexes used in data are ordered after the order of sample names!! |
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71 sampNames <- sampnames(xsetData) |
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72 sampleNamesIdx <- match( args.sampleNames, sampNames) |
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73 message(paste("Samples: ", sampleNamesIdx)) |
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74 |
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75 #TODO html <- paste(html, "<table><tbody>") |
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76 message(paste("\nPlotting figures... ")) |
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77 |
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78 #get the mz list (interestingly, this [,"mz"] is relatively slow): |
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79 peakMzList <- xsetData@peaks[,"mz"] |
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80 peakSampleList <- xsetData@peaks[,"sample"] |
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81 #signal to noise list: |
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82 peakSnList <- xsetData@peaks[,"sn"] |
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83 |
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84 message(paste("Total nr of peaks: ", length(peakMzList))) |
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85 |
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86 for (i in 1:length(groupidx1)) |
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87 { |
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88 groupMembers <- xsetData@groupidx[[groupidx1[i]]] |
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89 |
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90 groupMzList <- "" |
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91 groupSampleList <- "" |
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92 finalGroupSize <- 0 |
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93 |
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94 for (j in 1:length(groupMembers)) |
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95 { |
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96 #get only the peaks from the selected samples: |
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97 memberSample <- peakSampleList[groupMembers[j]] |
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98 memberSn <- peakSnList[groupMembers[j]] |
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99 if (!is.na(memberSn) && memberSample %in% sampleNamesIdx) |
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100 { |
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101 message(paste("Group: ", groupidx1[i], " / Member sample: ", memberSample)) |
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102 memberMz <- peakMzList[groupMembers[j]] |
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103 |
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104 |
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105 if (finalGroupSize == 0) |
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106 { |
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107 groupMzList <- memberMz |
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108 groupSampleList <- sampNames[memberSample] |
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109 } else { |
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110 groupMzList <- paste(groupMzList,",",memberMz, sep="") |
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111 groupSampleList <- paste(groupSampleList,",",sampNames[memberSample], sep="") |
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112 } |
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113 |
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114 finalGroupSize <- finalGroupSize +1 |
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115 } |
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116 } |
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117 # here we do the real check on group size and only the groups that have enough |
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118 # members with signal to noise > 0 will be plotted here: |
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119 if (finalGroupSize >= args.minNrSamples) |
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120 { |
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121 message(paste("Plotting figure ",i, " of max ", length(groupidx1)," figures... ")) |
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122 |
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123 figureName <- paste(args.htmlReportFile.files_path, "/figure", i,".png", sep="") |
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124 write(paste("<img src='", "figure", i,".png' />", sep="") , |
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125 file=args.htmlReportFile, append=TRUE) |
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126 |
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127 png( figureName, type="cairo" ) |
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128 plot(eiccor, xsetData, groupidx = i) |
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129 devname = dev.off() |
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130 |
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131 write(paste("<p>Alignment id: [", groupidx1[i], "]. m/z list of peaks in alignment with signal/noise <> NA:<br/>", groupMzList,"</p>", sep="") , |
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132 file=args.htmlReportFile, append=TRUE) |
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133 write(paste("<p>m/z values found in the following samples respectively: <br/>", groupSampleList,"</p>", sep="") , |
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134 file=args.htmlReportFile, append=TRUE) |
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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 write("</body><html>", |
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141 file=args.htmlReportFile, append=TRUE) |
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142 message("finished generating report") |
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143 # unlink(args.htmlReportFile) |
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144 cat("\nWarnings================:\n") |
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145 str( warnings() ) |
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146 }, |
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147 error=function(cond) { |
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148 sink(NULL, type="message") # default setting |
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149 sink(stderr(), type="output") |
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150 message("\nERROR: ===========\n") |
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151 print(cond) |
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152 } |
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153 ) |