Mercurial > repos > lecorguille > xcms_xcmsset
annotate lib.r @ 29:5dba1c94fb94 draft
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit bff1445c9b00ccdbe05ee3dc6ed24221033384b9
author | lecorguille |
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date | Tue, 24 Oct 2017 11:46:21 -0400 |
parents | 8e46e9bd7c50 |
children | e93153c07be0 |
rev | line source |
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1 #Authors ABiMS TEAM |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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2 #Lib.r for Galaxy Workflow4Metabolomics xcms tools |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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3 # |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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4 #version 2.4: lecorguille |
f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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5 # add getPeaklistW4M |
f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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6 #version 2.3: yguitton |
f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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7 # correction for empty PDF when only 1 class |
f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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8 #version 2.2 |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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9 # correct bug in Base Peak Chromatogram (BPC) option, not only TIC when scanrange used in xcmsSet |
f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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10 # Note if scanrange is used a warning is prompted in R console but do not stop PDF generation |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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11 #version 2.1: yguitton |
f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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12 # Modifications made by Guitton Yann |
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13 |
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14 |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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15 #@author G. Le Corguille |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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16 #This function convert if it is required the Retention Time in minutes |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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17 RTSecondToMinute <- function(variableMetadata, convertRTMinute) { |
f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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18 if (convertRTMinute){ |
f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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19 #converting the retention times (seconds) into minutes |
f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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20 print("converting the retention times into minutes in the variableMetadata") |
f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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21 variableMetadata[,"rt"]=variableMetadata[,"rt"]/60 |
f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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22 variableMetadata[,"rtmin"]=variableMetadata[,"rtmin"]/60 |
f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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23 variableMetadata[,"rtmax"]=variableMetadata[,"rtmax"]/60 |
f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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24 } |
f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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25 return (variableMetadata) |
f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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26 } |
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27 |
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f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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28 #@author G. Le Corguille |
f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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29 #This function format ions identifiers |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 481448087f0e09c131b24f7d552db69f3552d371-dirty
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30 formatIonIdentifiers <- function(variableMetadata, numDigitsRT=0, numDigitsMZ=0) { |
ab238b104c3f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 481448087f0e09c131b24f7d552db69f3552d371-dirty
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31 splitDeco = strsplit(as.character(variableMetadata$name),"_") |
ab238b104c3f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 481448087f0e09c131b24f7d552db69f3552d371-dirty
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32 idsDeco = sapply(splitDeco, function(x) { deco=unlist(x)[2]; if (is.na(deco)) return ("") else return(paste0("_",deco)) }) |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 481448087f0e09c131b24f7d552db69f3552d371-dirty
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33 namecustom = make.unique(paste0("M",round(variableMetadata[,"mz"],numDigitsMZ),"T",round(variableMetadata[,"rt"],numDigitsRT),idsDeco)) |
ab238b104c3f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 481448087f0e09c131b24f7d552db69f3552d371-dirty
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34 variableMetadata=cbind(name=variableMetadata$name, namecustom=namecustom, variableMetadata[,!(colnames(variableMetadata) %in% c("name"))]) |
ab238b104c3f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 481448087f0e09c131b24f7d552db69f3552d371-dirty
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35 return(variableMetadata) |
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f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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36 } |
f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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37 |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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38 #@author G. Le Corguille |
f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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39 # value: intensity values to be used into, maxo or intb |
f28041d2180a
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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40 getPeaklistW4M <- function(xset, intval="into",convertRTMinute=F,numDigitsMZ=4,numDigitsRT=0,variableMetadataOutput,dataMatrixOutput) { |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 481448087f0e09c131b24f7d552db69f3552d371-dirty
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41 variableMetadata_dataMatrix = peakTable(xset, method="medret", value=intval) |
ab238b104c3f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 481448087f0e09c131b24f7d552db69f3552d371-dirty
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42 variableMetadata_dataMatrix = cbind(name=groupnames(xset),variableMetadata_dataMatrix) |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 22c4e92909198328fc7439ff47e4546a273eb907
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43 |
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44 dataMatrix = variableMetadata_dataMatrix[,(make.names(colnames(variableMetadata_dataMatrix)) %in% c("name", make.names(sampnames(xset))))] |
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45 |
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46 variableMetadata = variableMetadata_dataMatrix[,!(make.names(colnames(variableMetadata_dataMatrix)) %in% c(make.names(sampnames(xset))))] |
ab238b104c3f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 481448087f0e09c131b24f7d552db69f3552d371-dirty
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47 variableMetadata = RTSecondToMinute(variableMetadata, convertRTMinute) |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 481448087f0e09c131b24f7d552db69f3552d371-dirty
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48 variableMetadata = formatIonIdentifiers(variableMetadata, numDigitsRT=numDigitsRT, numDigitsMZ=numDigitsMZ) |
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49 |
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50 write.table(variableMetadata, file=variableMetadataOutput,sep="\t",quote=F,row.names=F) |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 481448087f0e09c131b24f7d552db69f3552d371-dirty
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51 write.table(dataMatrix, file=dataMatrixOutput,sep="\t",quote=F,row.names=F) |
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52 } |
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53 |
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5dba1c94fb94
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit bff1445c9b00ccdbe05ee3dc6ed24221033384b9
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54 #@author G. Le Corguille |
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55 exportTicBpcTabular <- function(dataset, filenameBase, ticORbpc, rt='raw') { |
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56 |
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57 rawORcorrected = '' |
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58 title = '' |
5dba1c94fb94
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit bff1445c9b00ccdbe05ee3dc6ed24221033384b9
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59 if (rt=='corrected') { |
5dba1c94fb94
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit bff1445c9b00ccdbe05ee3dc6ed24221033384b9
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60 rawORcorrected = '_corrected' |
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61 title = ' corrected by retcor' |
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62 } |
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63 |
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64 if (ticORbpc == "TIC") { |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit bff1445c9b00ccdbe05ee3dc6ed24221033384b9
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65 section_name = paste0('TIC',rawORcorrected) |
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66 title = paste0('Total Ion Current (TIC) chromatogram',title) |
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67 description = 'Sum of intensity (Y) of all ions detected at each retention time(X)' |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit bff1445c9b00ccdbe05ee3dc6ed24221033384b9
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68 } else if (ticORbpc == "BPC") { |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit bff1445c9b00ccdbe05ee3dc6ed24221033384b9
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69 section_name = paste0('BPC',rawORcorrected) |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit bff1445c9b00ccdbe05ee3dc6ed24221033384b9
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70 title = paste0('Base Peak Chromatogram (BPC)',title) |
5dba1c94fb94
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit bff1445c9b00ccdbe05ee3dc6ed24221033384b9
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71 description = 'Sum of intensity (Y) of the most intense peaks at each retention time(X)' |
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72 } |
5dba1c94fb94
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73 |
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74 filename=paste0(basename(file_path_sans_ext(filenameBase)),"-",ticORbpc,rawORcorrected,"_mqc.out") |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit bff1445c9b00ccdbe05ee3dc6ed24221033384b9
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75 |
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76 # Headers for MultiQC |
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77 cat("# file_format: 'tsv'\n", sep="", file = filename) |
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78 cat("# section_name: '",section_name,"'\n", sep="", file = filename, append = T) |
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79 cat("# title: '",title,"'\n", sep="", file = filename, append = T) |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit bff1445c9b00ccdbe05ee3dc6ed24221033384b9
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80 cat("# description: '",description,"'\n", sep="", file = filename, append = T) |
5dba1c94fb94
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit bff1445c9b00ccdbe05ee3dc6ed24221033384b9
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81 cat("# plot_type: 'linegraph'\n", sep="", file = filename, append = T) |
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82 cat("# pconfig:\n", sep="", file = filename, append = T) |
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83 cat("# id: '",ticORbpc,rawORcorrected,"_lineplot'\n", sep="", file = filename, append = T) |
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84 cat("# ylab: 'Base Peak Intensity'\n", sep="", file = filename, append = T) |
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85 cat("# xlab: 'Retention Time'\n", sep="", file = filename, append = T) |
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86 cat("Intensity\tRT\n", file = filename, append = T) |
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87 write.table(dataset, filename ,row.names = F, col.names = F, sep = "\t", append = T, quote = F) |
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88 } |
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89 |
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90 #@author Y. Guitton |
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91 getBPC <- function(file,rtcor=NULL, ...) { |
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92 object <- xcmsRaw(file) |
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93 sel <- profRange(object, ...) |
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94 cbind(if (is.null(rtcor)) object@scantime[sel$scanidx] else rtcor ,xcms:::colMax(object@env$profile[sel$massidx,sel$scanidx,drop=FALSE])) |
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95 #plotChrom(xcmsRaw(file), base=T) |
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96 } |
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97 |
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98 #@author Y. Guitton |
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99 getBPCs <- function (xcmsSet=NULL, pdfname="BPCs.pdf",rt=c("raw","corrected"), scanrange=NULL) { |
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100 cat("Creating BIC pdf...\n") |
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101 |
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102 if (is.null(xcmsSet)) { |
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103 cat("Enter an xcmsSet \n") |
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104 stop() |
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105 } else { |
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106 files <- filepaths(xcmsSet) |
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107 } |
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108 |
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109 phenoDataClass<-as.vector(levels(xcmsSet@phenoData[,1])) #sometime phenoData have more than 1 column use first as class |
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110 |
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111 classnames<-vector("list",length(phenoDataClass)) |
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112 for (i in 1:length(phenoDataClass)){ |
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113 classnames[[i]]<-which( xcmsSet@phenoData[,1]==phenoDataClass[i]) |
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114 } |
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115 |
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116 N <- dim(phenoData(xcmsSet))[1] |
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117 |
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118 TIC <- vector("list",N) |
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119 |
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120 |
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121 for (j in 1:N) { |
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122 |
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123 TIC[[j]] <- getBPC(files[j]) |
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124 #good for raw |
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125 # seems strange for corrected |
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126 #errors if scanrange used in xcmsSetgeneration |
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127 if (!is.null(xcmsSet) && rt == "corrected") |
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128 rtcor <- xcmsSet@rt$corrected[[j]] |
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129 else |
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130 rtcor <- NULL |
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131 |
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132 TIC[[j]] <- getBPC(files[j],rtcor=rtcor) |
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133 |
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134 exportTicBpcTabular(TIC[[j]], files[j], "BPC", rt=rt) |
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135 |
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136 # TIC[[j]][,1]<-rtcor |
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137 } |
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138 |
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139 |
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140 |
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141 pdf(pdfname,w=16,h=10) |
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142 cols <- rainbow(N) |
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143 lty = 1:N |
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144 pch = 1:N |
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145 #search for max x and max y in BPCs |
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146 xlim = range(sapply(TIC, function(x) range(x[,1]))) |
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147 ylim = range(sapply(TIC, function(x) range(x[,2]))) |
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148 ylim = c(-ylim[2], ylim[2]) |
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149 |
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150 |
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151 ##plot start |
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152 |
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153 if (length(phenoDataClass)>2){ |
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154 for (k in 1:(length(phenoDataClass)-1)){ |
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155 for (l in (k+1):length(phenoDataClass)){ |
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156 #print(paste(phenoDataClass[k],"vs",phenoDataClass[l],sep=" ")) |
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157 plot(0, 0, type="n", xlim = xlim/60, ylim = ylim, main = paste("Base Peak Chromatograms \n","BPCs_",phenoDataClass[k]," vs ",phenoDataClass[l], sep=""), xlab = "Retention Time (min)", ylab = "BPC") |
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158 colvect<-NULL |
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159 for (j in 1:length(classnames[[k]])) { |
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160 tic <- TIC[[classnames[[k]][j]]] |
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161 # points(tic[,1]/60, tic[,2], col = cols[i], pch = pch[i], type="l") |
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162 points(tic[,1]/60, tic[,2], col = cols[classnames[[k]][j]], pch = pch[classnames[[k]][j]], type="l") |
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163 colvect<-append(colvect,cols[classnames[[k]][j]]) |
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164 } |
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165 for (j in 1:length(classnames[[l]])) { |
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166 # i=class2names[j] |
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167 tic <- TIC[[classnames[[l]][j]]] |
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168 points(tic[,1]/60, -tic[,2], col = cols[classnames[[l]][j]], pch = pch[classnames[[l]][j]], type="l") |
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169 colvect<-append(colvect,cols[classnames[[l]][j]]) |
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170 } |
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171 legend("topright",paste(basename(files[c(classnames[[k]],classnames[[l]])])), col = colvect, lty = lty, pch = pch) |
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172 } |
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173 } |
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174 }#end if length >2 |
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175 |
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176 if (length(phenoDataClass)==2){ |
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177 k=1 |
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178 l=2 |
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179 colvect<-NULL |
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180 plot(0, 0, type="n", xlim = xlim/60, ylim = ylim, main = paste("Base Peak Chromatograms \n","BPCs_",phenoDataClass[k],"vs",phenoDataClass[l], sep=""), xlab = "Retention Time (min)", ylab = "BPC") |
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181 |
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182 for (j in 1:length(classnames[[k]])) { |
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183 |
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184 tic <- TIC[[classnames[[k]][j]]] |
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185 # points(tic[,1]/60, tic[,2], col = cols[i], pch = pch[i], type="l") |
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186 points(tic[,1]/60, tic[,2], col = cols[classnames[[k]][j]], pch = pch[classnames[[k]][j]], type="l") |
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187 colvect<-append(colvect,cols[classnames[[k]][j]]) |
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188 } |
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189 for (j in 1:length(classnames[[l]])) { |
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190 # i=class2names[j] |
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191 tic <- TIC[[classnames[[l]][j]]] |
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192 points(tic[,1]/60, -tic[,2], col = cols[classnames[[l]][j]], pch = pch[classnames[[l]][j]], type="l") |
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193 colvect<-append(colvect,cols[classnames[[l]][j]]) |
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194 } |
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195 legend("topright",paste(basename(files[c(classnames[[k]],classnames[[l]])])), col = colvect, lty = lty, pch = pch) |
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196 |
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197 }#end length ==2 |
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198 |
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199 #case where only one class |
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200 if (length(phenoDataClass)==1){ |
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201 k=1 |
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202 ylim = range(sapply(TIC, function(x) range(x[,2]))) |
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203 colvect<-NULL |
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204 plot(0, 0, type="n", xlim = xlim/60, ylim = ylim, main = paste("Base Peak Chromatograms \n","BPCs_",phenoDataClass[k], sep=""), xlab = "Retention Time (min)", ylab = "BPC") |
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205 |
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206 for (j in 1:length(classnames[[k]])) { |
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207 tic <- TIC[[classnames[[k]][j]]] |
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208 # points(tic[,1]/60, tic[,2], col = cols[i], pch = pch[i], type="l") |
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209 points(tic[,1]/60, tic[,2], col = cols[classnames[[k]][j]], pch = pch[classnames[[k]][j]], type="l") |
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210 colvect<-append(colvect,cols[classnames[[k]][j]]) |
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211 } |
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212 |
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213 legend("topright",paste(basename(files[c(classnames[[k]])])), col = colvect, lty = lty, pch = pch) |
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214 |
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215 }#end length ==1 |
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216 |
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217 dev.off() #pdf(pdfname,w=16,h=10) |
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218 |
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219 invisible(TIC) |
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220 } |
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221 |
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222 |
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223 |
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224 #@author Y. Guitton |
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225 getTIC <- function(file,rtcor=NULL) { |
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226 object <- xcmsRaw(file) |
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227 cbind(if (is.null(rtcor)) object@scantime else rtcor, rawEIC(object,mzrange=range(object@env$mz))$intensity) |
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228 } |
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229 |
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230 ## |
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231 ## overlay TIC from all files in current folder or from xcmsSet, create pdf |
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232 ## |
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233 #@author Y. Guitton |
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234 getTICs <- function(xcmsSet=NULL,files=NULL, pdfname="TICs.pdf",rt=c("raw","corrected")) { |
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235 cat("Creating TIC pdf...\n") |
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236 |
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237 if (is.null(xcmsSet)) { |
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238 filepattern <- c("[Cc][Dd][Ff]", "[Nn][Cc]", "([Mm][Zz])?[Xx][Mm][Ll]", "[Mm][Zz][Dd][Aa][Tt][Aa]", "[Mm][Zz][Mm][Ll]") |
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239 filepattern <- paste(paste("\\.", filepattern, "$", sep = ""), collapse = "|") |
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240 if (is.null(files)) |
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241 files <- getwd() |
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242 info <- file.info(files) |
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243 listed <- list.files(files[info$isdir], pattern = filepattern, recursive = TRUE, full.names = TRUE) |
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244 files <- c(files[!info$isdir], listed) |
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245 } else { |
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246 files <- filepaths(xcmsSet) |
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247 } |
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248 |
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249 phenoDataClass<-as.vector(levels(xcmsSet@phenoData[,1])) #sometime phenoData have more than 1 column use first as class |
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250 classnames<-vector("list",length(phenoDataClass)) |
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251 for (i in 1:length(phenoDataClass)){ |
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252 classnames[[i]]<-which( xcmsSet@phenoData[,1]==phenoDataClass[i]) |
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253 } |
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254 |
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255 N <- length(files) |
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256 TIC <- vector("list",N) |
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257 |
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258 for (i in 1:N) { |
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259 if (!is.null(xcmsSet) && rt == "corrected") |
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260 rtcor <- xcmsSet@rt$corrected[[i]] else |
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261 rtcor <- NULL |
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262 TIC[[i]] <- getTIC(files[i],rtcor=rtcor) |
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263 |
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264 exportTicBpcTabular(TIC[[i]], files[i], "TIC", rt=rt) |
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265 } |
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266 |
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267 pdf(pdfname,w=16,h=10) |
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268 cols <- rainbow(N) |
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269 lty = 1:N |
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270 pch = 1:N |
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271 #search for max x and max y in TICs |
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272 xlim = range(sapply(TIC, function(x) range(x[,1]))) |
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273 ylim = range(sapply(TIC, function(x) range(x[,2]))) |
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274 ylim = c(-ylim[2], ylim[2]) |
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275 |
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276 |
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277 ##plot start |
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278 if (length(phenoDataClass)>2){ |
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279 for (k in 1:(length(phenoDataClass)-1)){ |
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280 for (l in (k+1):length(phenoDataClass)){ |
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281 #print(paste(phenoDataClass[k],"vs",phenoDataClass[l],sep=" ")) |
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282 plot(0, 0, type="n", xlim = xlim/60, ylim = ylim, main = paste("Total Ion Chromatograms \n","TICs_",phenoDataClass[k]," vs ",phenoDataClass[l], sep=""), xlab = "Retention Time (min)", ylab = "TIC") |
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283 colvect<-NULL |
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284 for (j in 1:length(classnames[[k]])) { |
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285 tic <- TIC[[classnames[[k]][j]]] |
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286 # points(tic[,1]/60, tic[,2], col = cols[i], pch = pch[i], type="l") |
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287 points(tic[,1]/60, tic[,2], col = cols[classnames[[k]][j]], pch = pch[classnames[[k]][j]], type="l") |
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288 colvect<-append(colvect,cols[classnames[[k]][j]]) |
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289 } |
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290 for (j in 1:length(classnames[[l]])) { |
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291 # i=class2names[j] |
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292 tic <- TIC[[classnames[[l]][j]]] |
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293 points(tic[,1]/60, -tic[,2], col = cols[classnames[[l]][j]], pch = pch[classnames[[l]][j]], type="l") |
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294 colvect<-append(colvect,cols[classnames[[l]][j]]) |
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295 } |
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296 legend("topright",paste(basename(files[c(classnames[[k]],classnames[[l]])])), col = colvect, lty = lty, pch = pch) |
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297 } |
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298 } |
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299 }#end if length >2 |
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300 if (length(phenoDataClass)==2){ |
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301 k=1 |
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302 l=2 |
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303 |
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304 plot(0, 0, type="n", xlim = xlim/60, ylim = ylim, main = paste("Total Ion Chromatograms \n","TICs_",phenoDataClass[k],"vs",phenoDataClass[l], sep=""), xlab = "Retention Time (min)", ylab = "TIC") |
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305 colvect<-NULL |
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306 for (j in 1:length(classnames[[k]])) { |
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307 tic <- TIC[[classnames[[k]][j]]] |
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308 # points(tic[,1]/60, tic[,2], col = cols[i], pch = pch[i], type="l") |
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309 points(tic[,1]/60, tic[,2], col = cols[classnames[[k]][j]], pch = pch[classnames[[k]][j]], type="l") |
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310 colvect<-append(colvect,cols[classnames[[k]][j]]) |
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311 } |
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312 for (j in 1:length(classnames[[l]])) { |
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313 # i=class2names[j] |
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314 tic <- TIC[[classnames[[l]][j]]] |
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315 points(tic[,1]/60, -tic[,2], col = cols[classnames[[l]][j]], pch = pch[classnames[[l]][j]], type="l") |
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316 colvect<-append(colvect,cols[classnames[[l]][j]]) |
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317 } |
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318 legend("topright",paste(basename(files[c(classnames[[k]],classnames[[l]])])), col = colvect, lty = lty, pch = pch) |
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319 |
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320 }#end length ==2 |
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321 |
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322 #case where only one class |
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323 if (length(phenoDataClass)==1){ |
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324 k=1 |
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325 ylim = range(sapply(TIC, function(x) range(x[,2]))) |
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326 |
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327 plot(0, 0, type="n", xlim = xlim/60, ylim = ylim, main = paste("Total Ion Chromatograms \n","TICs_",phenoDataClass[k], sep=""), xlab = "Retention Time (min)", ylab = "TIC") |
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328 colvect<-NULL |
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329 for (j in 1:length(classnames[[k]])) { |
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330 tic <- TIC[[classnames[[k]][j]]] |
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331 # points(tic[,1]/60, tic[,2], col = cols[i], pch = pch[i], type="l") |
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332 points(tic[,1]/60, tic[,2], col = cols[classnames[[k]][j]], pch = pch[classnames[[k]][j]], type="l") |
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333 colvect<-append(colvect,cols[classnames[[k]][j]]) |
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334 } |
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335 |
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336 legend("topright",paste(basename(files[c(classnames[[k]])])), col = colvect, lty = lty, pch = pch) |
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337 |
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338 }#end length ==1 |
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339 |
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340 dev.off() #pdf(pdfname,w=16,h=10) |
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341 |
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342 invisible(TIC) |
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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 ## Get the polarities from all the samples of a condition |
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349 #@author Misharl Monsoor misharl.monsoor@sb-roscoff.fr ABiMS TEAM |
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350 #@author Gildas Le Corguille lecorguille@sb-roscoff.fr ABiMS TEAM |
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351 getSampleMetadata <- function(xcmsSet=NULL, sampleMetadataOutput="sampleMetadata.tsv") { |
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352 cat("Creating the sampleMetadata file...\n") |
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353 |
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354 #Create the sampleMetada dataframe |
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355 sampleMetadata=xset@phenoData |
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356 sampleNamesOrigin=rownames(sampleMetadata) |
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357 sampleNamesMakeNames=make.names(sampleNamesOrigin) |
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358 |
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359 if (any(duplicated(sampleNamesMakeNames))) { |
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360 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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361 for (sampleName in sampleNamesOrigin) { |
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362 write(paste(sampleName,"\t->\t",make.names(sampleName)),stderr()) |
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363 } |
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364 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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365 } |
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366 |
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367 if (!all(sampleNamesOrigin == sampleNamesMakeNames)) { |
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368 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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369 for (sampleName in sampleNamesOrigin) { |
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370 cat(paste(sampleName,"\t->\t",make.names(sampleName),"\n")) |
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371 } |
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372 } |
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373 |
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374 sampleMetadata$sampleMetadata=sampleNamesMakeNames |
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375 sampleMetadata=cbind(sampleMetadata["sampleMetadata"],sampleMetadata["class"]) #Reorder columns |
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376 rownames(sampleMetadata)=NULL |
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377 |
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378 #Create a list of files name in the current directory |
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379 list_files=xset@filepaths |
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380 #For each sample file, the following actions are done |
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381 for (file in list_files){ |
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382 #Check if the file is in the CDF format |
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383 if (!mzR:::netCDFIsFile(file)){ |
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384 |
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385 # If the column isn't exist, with add one filled with NA |
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386 if (is.null(sampleMetadata$polarity)) sampleMetadata$polarity=NA |
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387 |
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388 #Create a simple xcmsRaw object for each sample |
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389 xcmsRaw=xcmsRaw(file) |
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390 #Extract the polarity (a list of polarities) |
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391 polarity=xcmsRaw@polarity |
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392 #Verify if all the scans have the same polarity |
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393 uniq_list=unique(polarity) |
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394 if (length(uniq_list)>1){ |
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395 polarity="mixed" |
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396 } else { |
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397 polarity=as.character(uniq_list) |
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398 } |
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399 #Transforms the character to obtain only the sample name |
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400 filename=basename(file) |
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401 library(tools) |
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402 samplename=file_path_sans_ext(filename) |
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403 |
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404 #Set the polarity attribute |
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405 sampleMetadata$polarity[sampleMetadata$sampleMetadata==samplename]=polarity |
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406 |
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407 #Delete xcmsRaw object because it creates a bug for the fillpeaks step |
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408 rm(xcmsRaw) |
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409 } |
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410 |
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411 } |
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412 |
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413 write.table(sampleMetadata, sep="\t", quote=FALSE, row.names=FALSE, file=sampleMetadataOutput) |
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414 |
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415 return(list("sampleNamesOrigin"=sampleNamesOrigin,"sampleNamesMakeNames"=sampleNamesMakeNames)) |
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416 |
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417 } |
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418 |
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419 |
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420 ## |
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421 ## This function check if xcms will found all the files |
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422 ## |
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423 #@author Gildas Le Corguille lecorguille@sb-roscoff.fr ABiMS TEAM |
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424 checkFilesCompatibilityWithXcms <- function(directory) { |
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425 cat("Checking files filenames compatibilities with xmcs...\n") |
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426 # WHAT XCMS WILL FIND |
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427 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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428 filepattern <- paste(paste("\\.", filepattern, "$", sep = ""),collapse = "|") |
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429 info <- file.info(directory) |
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430 listed <- list.files(directory[info$isdir], pattern = filepattern,recursive = TRUE, full.names = TRUE) |
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431 files <- c(directory[!info$isdir], listed) |
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432 files_abs <- file.path(getwd(), files) |
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433 exists <- file.exists(files_abs) |
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434 files[exists] <- files_abs[exists] |
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435 files[exists] <- sub("//","/",files[exists]) |
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436 |
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437 # WHAT IS ON THE FILESYSTEM |
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438 filesystem_filepaths=system(paste("find $PWD/",directory," -not -name '\\.*' -not -path '*conda-env*' -type f -name \"*\"", sep=""), intern=T) |
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439 filesystem_filepaths=filesystem_filepaths[grep(filepattern, filesystem_filepaths, perl=T)] |
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440 |
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441 # COMPARISON |
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442 if (!is.na(table(filesystem_filepaths %in% files)["FALSE"])) { |
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443 write("\n\nERROR: List of the files which will not be imported by xcmsSet",stderr()) |
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444 write(filesystem_filepaths[!(filesystem_filepaths %in% files)],stderr()) |
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445 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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446 } |
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447 } |
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448 |
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449 |
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450 |
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451 ## |
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452 ## This function check if XML contains special caracters. It also checks integrity and completness. |
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453 ## |
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454 #@author Misharl Monsoor misharl.monsoor@sb-roscoff.fr ABiMS TEAM |
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455 checkXmlStructure <- function (directory) { |
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456 cat("Checking XML structure...\n") |
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457 |
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458 cmd=paste("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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459 capture=system(cmd,intern=TRUE) |
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460 |
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461 if (length(capture)>0){ |
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462 #message=paste("The following mzXML or mzML file is incorrect, please check these files first:",capture) |
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463 write("\n\nERROR: The following mzXML or mzML file(s) are incorrect, please check these files first:", stderr()) |
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464 write(capture, stderr()) |
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465 stop("ERROR: xcmsSet cannot continue with incorrect mzXML or mzML files") |
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466 } |
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467 |
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468 } |
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469 |
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470 |
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471 ## |
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472 ## This function check if XML contain special characters |
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473 ## |
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474 #@author Misharl Monsoor misharl.monsoor@sb-roscoff.fr ABiMS TEAM |
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475 deleteXmlBadCharacters<- function (directory) { |
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476 cat("Checking Non ASCII characters in the XML...\n") |
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477 |
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478 processed=F |
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479 l=system( paste("find",directory, "-not -name '\\.*' -not -path '*conda-env*' -type f -iname '*.*ml*'"),intern=TRUE) |
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480 for (i in l){ |
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481 cmd=paste("LC_ALL=C grep '[^ -~]' \"",i,"\"",sep="") |
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482 capture=suppressWarnings(system(cmd,intern=TRUE)) |
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483 if (length(capture)>0){ |
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484 cmd=paste("perl -i -pe 's/[^[:ascii:]]//g;'",i) |
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485 print( paste("WARNING: Non ASCII characters have been removed from the ",i,"file") ) |
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486 c=system(cmd,intern=TRUE) |
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487 capture="" |
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488 processed=T |
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489 } |
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490 } |
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491 if (processed) cat("\n\n") |
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492 return(processed) |
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493 } |
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494 |
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495 |
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496 ## |
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497 ## This function will compute MD5 checksum to check the data integrity |
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498 ## |
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499 #@author Gildas Le Corguille lecorguille@sb-roscoff.fr |
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500 getMd5sum <- function (directory) { |
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501 cat("Compute md5 checksum...\n") |
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502 # WHAT XCMS WILL FIND |
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503 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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504 filepattern <- paste(paste("\\.", filepattern, "$", sep = ""),collapse = "|") |
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505 info <- file.info(directory) |
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506 listed <- list.files(directory[info$isdir], pattern = filepattern,recursive = TRUE, full.names = TRUE) |
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507 files <- c(directory[!info$isdir], listed) |
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508 exists <- file.exists(files) |
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509 files <- files[exists] |
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510 |
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511 library(tools) |
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512 |
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513 #cat("\n\n") |
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514 |
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515 return(as.matrix(md5sum(files))) |
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516 } |
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517 |
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518 |
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519 # This function get the raw file path from the arguments |
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520 getRawfilePathFromArguments <- function(singlefile, zipfile, listArguments) { |
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521 if (!is.null(listArguments[["zipfile"]])) zipfile = listArguments[["zipfile"]] |
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522 if (!is.null(listArguments[["zipfilePositive"]])) zipfile = listArguments[["zipfilePositive"]] |
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523 if (!is.null(listArguments[["zipfileNegative"]])) zipfile = listArguments[["zipfileNegative"]] |
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524 |
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525 if (!is.null(listArguments[["singlefile_galaxyPath"]])) { |
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526 singlefile_galaxyPaths = listArguments[["singlefile_galaxyPath"]]; |
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527 singlefile_sampleNames = listArguments[["singlefile_sampleName"]] |
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528 } |
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529 if (!is.null(listArguments[["singlefile_galaxyPathPositive"]])) { |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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530 singlefile_galaxyPaths = listArguments[["singlefile_galaxyPathPositive"]]; |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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531 singlefile_sampleNames = listArguments[["singlefile_sampleNamePositive"]] |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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532 } |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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533 if (!is.null(listArguments[["singlefile_galaxyPathNegative"]])) { |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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534 singlefile_galaxyPaths = listArguments[["singlefile_galaxyPathNegative"]]; |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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535 singlefile_sampleNames = listArguments[["singlefile_sampleNameNegative"]] |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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536 } |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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537 if (exists("singlefile_galaxyPaths")){ |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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538 singlefile_galaxyPaths = unlist(strsplit(singlefile_galaxyPaths,",")) |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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539 singlefile_sampleNames = unlist(strsplit(singlefile_sampleNames,",")) |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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540 |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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541 singlefile=NULL |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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542 for (singlefile_galaxyPath_i in seq(1:length(singlefile_galaxyPaths))) { |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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543 singlefile_galaxyPath=singlefile_galaxyPaths[singlefile_galaxyPath_i] |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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544 singlefile_sampleName=singlefile_sampleNames[singlefile_galaxyPath_i] |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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545 singlefile[[singlefile_sampleName]] = singlefile_galaxyPath |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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546 } |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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547 } |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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548 for (argument in c("zipfile","zipfilePositive","zipfileNegative","singlefile_galaxyPath","singlefile_sampleName","singlefile_galaxyPathPositive","singlefile_sampleNamePositive","singlefile_galaxyPathNegative","singlefile_sampleNameNegative")) { |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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549 listArguments[[argument]]=NULL |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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changeset
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550 } |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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551 return(list(zipfile=zipfile, singlefile=singlefile, listArguments=listArguments)) |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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552 } |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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553 |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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changeset
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554 |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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555 # This function retrieve the raw file in the working directory |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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556 # - if zipfile: unzip the file with its directory tree |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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557 # - if singlefiles: set symlink with the good filename |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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558 retrieveRawfileInTheWorkingDirectory <- function(singlefile, zipfile) { |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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559 if(!is.null(singlefile) && (length("singlefile")>0)) { |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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560 for (singlefile_sampleName in names(singlefile)) { |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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561 singlefile_galaxyPath = singlefile[[singlefile_sampleName]] |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
parents:
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diff
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562 if(!file.exists(singlefile_galaxyPath)){ |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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563 error_message=paste("Cannot access the sample:",singlefile_sampleName,"located:",singlefile_galaxyPath,". Please, contact your administrator ... if you have one!") |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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564 print(error_message); stop(error_message) |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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565 } |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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diff
changeset
|
566 |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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567 file.symlink(singlefile_galaxyPath,singlefile_sampleName) |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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diff
changeset
|
568 } |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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569 directory = "." |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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diff
changeset
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570 |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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571 } |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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572 if(!is.null(zipfile) && (zipfile!="")) { |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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573 if(!file.exists(zipfile)){ |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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574 error_message=paste("Cannot access the Zip file:",zipfile,". Please, contact your administrator ... if you have one!") |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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575 print(error_message) |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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576 stop(error_message) |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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577 } |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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578 |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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579 #list all file in the zip file |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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580 #zip_files=unzip(zipfile,list=T)[,"Name"] |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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581 |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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|
582 #unzip |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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583 suppressWarnings(unzip(zipfile, unzip="unzip")) |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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584 |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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585 #get the directory name |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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changeset
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586 filesInZip=unzip(zipfile, list=T); |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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587 directories=unique(unlist(lapply(strsplit(filesInZip$Name,"/"), function(x) x[1]))); |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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588 directories=directories[!(directories %in% c("__MACOSX")) & file.info(directories)$isdir] |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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589 directory = "." |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
parents:
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diff
changeset
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590 if (length(directories) == 1) directory = directories |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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diff
changeset
|
591 |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
parents:
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diff
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592 cat("files_root_directory\t",directory,"\n") |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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changeset
|
593 |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
parents:
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|
594 } |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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|
595 return (directory) |
d8915395681f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
lecorguille
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596 } |