Mercurial > repos > lecorguille > xcms_group
annotate lib.r @ 30:cc3a32791781 draft
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 7b226c3ba91a3cf654ec1c14b3ef85090968bb0f
author | lecorguille |
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date | Mon, 05 Mar 2018 04:16:52 -0500 |
parents | 020d065edd9e |
children | f248fd3b89d6 |
rev | line source |
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020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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1 #@authors ABiMS TEAM, Y. Guitton |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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2 # lib.r for Galaxy Workflow4Metabolomics xcms tools |
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planemo upload commit a3229faad6949bbca965d1d7e138cb3c0550780e
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3 |
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020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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4 #@author G. Le Corguille |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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5 # solve an issue with batch if arguments are logical TRUE/FALSE |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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6 parseCommandArgs <- function(...) { |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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7 args <- batch::parseCommandArgs(...) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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8 for (key in names(args)) { |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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9 if (args[key] %in% c("TRUE","FALSE")) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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10 args[key] = as.logical(args[key]) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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11 } |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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12 return(args) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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13 } |
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planemo upload commit a3229faad6949bbca965d1d7e138cb3c0550780e
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14 |
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206e5a968dc5
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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15 #@author G. Le Corguille |
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020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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16 # This function will |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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17 # - load the packages |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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18 # - display the sessionInfo |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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19 loadAndDisplayPackages <- function(pkgs) { |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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20 for(pkg in pkgs) suppressPackageStartupMessages( stopifnot( library(pkg, quietly=TRUE, logical.return=TRUE, character.only=TRUE))) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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21 |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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22 sessioninfo = sessionInfo() |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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23 cat(sessioninfo$R.version$version.string,"\n") |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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24 cat("Main packages:\n") |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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25 for (pkg in names(sessioninfo$otherPkgs)) { cat(paste(pkg,packageVersion(pkg)),"\t") }; cat("\n") |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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26 cat("Other loaded packages:\n") |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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27 for (pkg in names(sessioninfo$loadedOnly)) { cat(paste(pkg,packageVersion(pkg)),"\t") }; cat("\n") |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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28 } |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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29 |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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30 #@author G. Le Corguille |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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31 # This function convert if it is required the Retention Time in minutes |
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206e5a968dc5
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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32 RTSecondToMinute <- function(variableMetadata, convertRTMinute) { |
206e5a968dc5
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
lecorguille
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33 if (convertRTMinute){ |
206e5a968dc5
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
lecorguille
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34 #converting the retention times (seconds) into minutes |
206e5a968dc5
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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35 print("converting the retention times into minutes in the variableMetadata") |
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020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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36 variableMetadata[,"rt"] <- variableMetadata[,"rt"]/60 |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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37 variableMetadata[,"rtmin"] <- variableMetadata[,"rtmin"]/60 |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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38 variableMetadata[,"rtmax"] <- variableMetadata[,"rtmax"]/60 |
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206e5a968dc5
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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39 } |
206e5a968dc5
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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40 return (variableMetadata) |
206e5a968dc5
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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41 } |
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fef3d1b8e7f4
planemo upload commit a3229faad6949bbca965d1d7e138cb3c0550780e
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42 |
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206e5a968dc5
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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43 #@author G. Le Corguille |
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020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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44 # This function format ions identifiers |
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a28473761624
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 481448087f0e09c131b24f7d552db69f3552d371-dirty
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45 formatIonIdentifiers <- function(variableMetadata, numDigitsRT=0, numDigitsMZ=0) { |
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020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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46 splitDeco <- strsplit(as.character(variableMetadata$name),"_") |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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47 idsDeco <- sapply(splitDeco, function(x) { deco=unlist(x)[2]; if (is.na(deco)) return ("") else return(paste0("_",deco)) }) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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48 namecustom <- make.unique(paste0("M",round(variableMetadata[,"mz"],numDigitsMZ),"T",round(variableMetadata[,"rt"],numDigitsRT),idsDeco)) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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49 variableMetadata <- cbind(name=variableMetadata$name, namecustom=namecustom, variableMetadata[,!(colnames(variableMetadata) %in% c("name"))]) |
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a28473761624
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 481448087f0e09c131b24f7d552db69f3552d371-dirty
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50 return(variableMetadata) |
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206e5a968dc5
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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51 } |
206e5a968dc5
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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52 |
206e5a968dc5
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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53 #@author G. Le Corguille |
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020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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54 # Draw the plotChromPeakDensity 3 per page in a pdf file |
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cc3a32791781
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 7b226c3ba91a3cf654ec1c14b3ef85090968bb0f
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55 getPlotChromPeakDensity <- function(xdata, mzdigit=4) { |
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020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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56 pdf(file="plotChromPeakDensity.pdf", width=16, height=12) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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57 |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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58 par(mfrow = c(3, 1), mar = c(4, 4, 1, 0.5)) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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59 |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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60 group_colors <- brewer.pal(3, "Set1")[1:length(unique(xdata$sample_group))] |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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61 names(group_colors) <- unique(xdata$sample_group) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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62 |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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63 xlim <- c(min(featureDefinitions(xdata)$rtmin), max(featureDefinitions(xdata)$rtmax)) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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64 for (i in 1:nrow(featureDefinitions(xdata))) { |
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cc3a32791781
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 7b226c3ba91a3cf654ec1c14b3ef85090968bb0f
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65 mzmin = featureDefinitions(xdata)[i,]$mzmin |
cc3a32791781
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 7b226c3ba91a3cf654ec1c14b3ef85090968bb0f
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66 mzmax = featureDefinitions(xdata)[i,]$mzmax |
cc3a32791781
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 7b226c3ba91a3cf654ec1c14b3ef85090968bb0f
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67 plotChromPeakDensity(xdata, mz=c(mzmin,mzmax), col=group_colors, pch=16, xlim=xlim, main=paste(round(mzmin,mzdigit),round(mzmax,mzdigit))) |
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020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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68 legend("topright", legend=names(group_colors), col=group_colors, cex=0.8, lty=1) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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69 } |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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70 |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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71 dev.off() |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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72 } |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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73 |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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74 #@author G. Le Corguille |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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75 # Draw the plotChromPeakDensity 3 per page in a pdf file |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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76 getPlotAdjustedRtime <- function(xdata) { |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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77 pdf(file="raw_vs_adjusted_rt.pdf", width=16, height=12) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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78 # Color by group |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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79 group_colors <- brewer.pal(3, "Set1")[1:length(unique(xdata$sample_group))] |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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80 names(group_colors) <- unique(xdata$sample_group) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
lecorguille
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81 plotAdjustedRtime(xdata, col = group_colors[xdata$sample_group]) |
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82 legend("topright", legend=names(group_colors), col=group_colors, cex=0.8, lty=1) |
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83 # Color by sample |
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84 plotAdjustedRtime(xdata, col = rainbow(length(xdata@phenoData@data$sample_name))) |
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85 legend("topright", legend=xdata@phenoData@data$sample_name, col=rainbow(length(xdata@phenoData@data$sample_name)), cex=0.8, lty=1) |
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86 dev.off() |
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87 } |
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88 |
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89 #@author G. Le Corguille |
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90 # value: intensity values to be used into, maxo or intb |
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91 getPeaklistW4M <- function(xdata, intval="into", convertRTMinute=F, numDigitsMZ=4, numDigitsRT=0, variableMetadataOutput, dataMatrixOutput) { |
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92 dataMatrix <- featureValues(xdata, method="medret", value=intval) |
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93 colnames(dataMatrix) <- tools::file_path_sans_ext(colnames(dataMatrix)) |
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94 dataMatrix = cbind(name=groupnamesW4M(xdata), dataMatrix) |
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95 variableMetadata <- featureDefinitions(xdata) |
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96 colnames(variableMetadata)[1] = "mz"; colnames(variableMetadata)[4] = "rt" |
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97 variableMetadata = data.frame(name=groupnamesW4M(xdata), variableMetadata) |
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98 |
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99 variableMetadata <- RTSecondToMinute(variableMetadata, convertRTMinute) |
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100 variableMetadata <- formatIonIdentifiers(variableMetadata, numDigitsRT=numDigitsRT, numDigitsMZ=numDigitsMZ) |
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101 |
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102 write.table(variableMetadata, file=variableMetadataOutput,sep="\t",quote=F,row.names=F) |
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103 write.table(dataMatrix, file=dataMatrixOutput,sep="\t",quote=F,row.names=F) |
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104 |
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105 } |
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106 |
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107 #@author Y. Guitton |
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108 getBPC <- function(file,rtcor=NULL, ...) { |
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109 object <- xcmsRaw(file) |
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110 sel <- profRange(object, ...) |
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111 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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112 #plotChrom(xcmsRaw(file), base=T) |
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113 } |
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114 |
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115 #@author Y. Guitton |
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116 getBPCs <- function (xcmsSet=NULL, pdfname="BPCs.pdf",rt=c("raw","corrected"), scanrange=NULL) { |
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117 cat("Creating BIC pdf...\n") |
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118 |
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119 if (is.null(xcmsSet)) { |
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120 cat("Enter an xcmsSet \n") |
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121 stop() |
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122 } else { |
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123 files <- filepaths(xcmsSet) |
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124 } |
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125 |
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126 phenoDataClass <- as.vector(levels(xcmsSet@phenoData[,"class"])) #sometime phenoData have more than 1 column use first as class |
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127 |
29
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128 classnames <- vector("list",length(phenoDataClass)) |
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129 for (i in 1:length(phenoDataClass)){ |
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130 classnames[[i]] <- which( xcmsSet@phenoData[,"class"]==phenoDataClass[i]) |
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131 } |
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132 |
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133 N <- dim(phenoData(xcmsSet))[1] |
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134 |
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135 TIC <- vector("list",N) |
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136 |
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137 |
14
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138 for (j in 1:N) { |
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139 |
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140 TIC[[j]] <- getBPC(files[j]) |
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141 #good for raw |
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142 # seems strange for corrected |
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143 #errors if scanrange used in xcmsSetgeneration |
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144 if (!is.null(xcmsSet) && rt == "corrected") |
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145 rtcor <- xcmsSet@rt$corrected[[j]] |
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146 else |
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147 rtcor <- NULL |
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148 |
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149 TIC[[j]] <- getBPC(files[j],rtcor=rtcor) |
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150 # TIC[[j]][,1]<-rtcor |
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151 } |
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152 |
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153 |
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154 |
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155 pdf(pdfname,w=16,h=10) |
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156 cols <- rainbow(N) |
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157 lty <- 1:N |
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158 pch <- 1:N |
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159 #search for max x and max y in BPCs |
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160 xlim <- range(sapply(TIC, function(x) range(x[,1]))) |
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161 ylim <- range(sapply(TIC, function(x) range(x[,2]))) |
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162 ylim <- c(-ylim[2], ylim[2]) |
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163 |
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164 |
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165 ##plot start |
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166 |
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167 if (length(phenoDataClass)>2){ |
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168 for (k in 1:(length(phenoDataClass)-1)){ |
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169 for (l in (k+1):length(phenoDataClass)){ |
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170 #print(paste(phenoDataClass[k],"vs",phenoDataClass[l],sep=" ")) |
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171 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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172 colvect <- NULL |
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173 for (j in 1:length(classnames[[k]])) { |
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174 tic <- TIC[[classnames[[k]][j]]] |
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175 # points(tic[,1]/60, tic[,2], col=cols[i], pch=pch[i], type="l") |
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176 points(tic[,1]/60, tic[,2], col=cols[classnames[[k]][j]], pch=pch[classnames[[k]][j]], type="l") |
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177 colvect <- append(colvect,cols[classnames[[k]][j]]) |
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178 } |
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179 for (j in 1:length(classnames[[l]])) { |
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180 # i <- class2names[j] |
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181 tic <- TIC[[classnames[[l]][j]]] |
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182 points(tic[,1]/60, -tic[,2], col=cols[classnames[[l]][j]], pch=pch[classnames[[l]][j]], type="l") |
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183 colvect <- append(colvect,cols[classnames[[l]][j]]) |
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184 } |
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185 legend("topright",paste(basename(files[c(classnames[[k]],classnames[[l]])])), col=colvect, lty=lty, pch=pch) |
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186 } |
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187 } |
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188 }#end if length >2 |
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189 |
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190 if (length(phenoDataClass)==2){ |
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191 k <- 1 |
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192 l <- 2 |
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193 colvect <- NULL |
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194 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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195 |
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196 for (j in 1:length(classnames[[k]])) { |
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197 |
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198 tic <- TIC[[classnames[[k]][j]]] |
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199 # points(tic[,1]/60, tic[,2], col=cols[i], pch=pch[i], type="l") |
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200 points(tic[,1]/60, tic[,2], col=cols[classnames[[k]][j]], pch=pch[classnames[[k]][j]], type="l") |
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201 colvect<-append(colvect,cols[classnames[[k]][j]]) |
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202 } |
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203 for (j in 1:length(classnames[[l]])) { |
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204 # i <- class2names[j] |
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205 tic <- TIC[[classnames[[l]][j]]] |
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206 points(tic[,1]/60, -tic[,2], col=cols[classnames[[l]][j]], pch=pch[classnames[[l]][j]], type="l") |
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207 colvect <- append(colvect,cols[classnames[[l]][j]]) |
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208 } |
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209 legend("topright",paste(basename(files[c(classnames[[k]],classnames[[l]])])), col=colvect, lty=lty, pch=pch) |
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210 |
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211 }#end length ==2 |
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212 |
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213 #case where only one class |
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214 if (length(phenoDataClass)==1){ |
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215 k <- 1 |
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216 ylim <- range(sapply(TIC, function(x) range(x[,2]))) |
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217 colvect <- NULL |
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218 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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219 |
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220 for (j in 1:length(classnames[[k]])) { |
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221 tic <- TIC[[classnames[[k]][j]]] |
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222 # points(tic[,1]/60, tic[,2], col=cols[i], pch=pch[i], type="l") |
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223 points(tic[,1]/60, tic[,2], col=cols[classnames[[k]][j]], pch=pch[classnames[[k]][j]], type="l") |
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224 colvect <- append(colvect,cols[classnames[[k]][j]]) |
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225 } |
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226 |
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227 legend("topright",paste(basename(files[c(classnames[[k]])])), col=colvect, lty=lty, pch=pch) |
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228 |
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229 }#end length ==1 |
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230 |
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231 dev.off() #pdf(pdfname,w=16,h=10) |
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232 |
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233 invisible(TIC) |
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234 } |
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235 |
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236 |
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237 |
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238 #@author Y. Guitton |
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239 getTIC <- function(file, rtcor=NULL) { |
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240 object <- xcmsRaw(file) |
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241 cbind(if (is.null(rtcor)) object@scantime else rtcor, rawEIC(object, mzrange=range(object@env$mz))$intensity) |
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242 } |
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243 |
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244 #overlay TIC from all files in current folder or from xcmsSet, create pdf |
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245 #@author Y. Guitton |
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246 getTICs <- function(xcmsSet=NULL,files=NULL, pdfname="TICs.pdf", rt=c("raw","corrected")) { |
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247 cat("Creating TIC pdf...\n") |
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248 |
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249 if (is.null(xcmsSet)) { |
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250 filepattern <- c("[Cc][Dd][Ff]", "[Nn][Cc]", "([Mm][Zz])?[Xx][Mm][Ll]", "[Mm][Zz][Dd][Aa][Tt][Aa]", "[Mm][Zz][Mm][Ll]") |
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251 filepattern <- paste(paste("\\.", filepattern, "$", sep=""), collapse="|") |
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252 if (is.null(files)) |
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253 files <- getwd() |
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254 info <- file.info(files) |
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255 listed <- list.files(files[info$isdir], pattern=filepattern, recursive=TRUE, full.names=TRUE) |
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256 files <- c(files[!info$isdir], listed) |
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257 } else { |
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258 files <- filepaths(xcmsSet) |
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259 } |
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260 |
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261 phenoDataClass <- as.vector(levels(xcmsSet@phenoData[,"class"])) #sometime phenoData have more than 1 column use first as class |
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262 classnames <- vector("list",length(phenoDataClass)) |
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263 for (i in 1:length(phenoDataClass)){ |
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264 classnames[[i]] <- which( xcmsSet@phenoData[,"class"]==phenoDataClass[i]) |
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265 } |
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266 |
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267 N <- length(files) |
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268 TIC <- vector("list",N) |
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269 |
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270 for (i in 1:N) { |
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271 if (!is.null(xcmsSet) && rt == "corrected") |
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272 rtcor <- xcmsSet@rt$corrected[[i]] else |
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273 rtcor <- NULL |
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274 TIC[[i]] <- getTIC(files[i], rtcor=rtcor) |
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275 } |
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276 |
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277 pdf(pdfname, w=16, h=10) |
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278 cols <- rainbow(N) |
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279 lty <- 1:N |
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280 pch <- 1:N |
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281 #search for max x and max y in TICs |
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282 xlim <- range(sapply(TIC, function(x) range(x[,1]))) |
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283 ylim <- range(sapply(TIC, function(x) range(x[,2]))) |
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284 ylim <- c(-ylim[2], ylim[2]) |
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285 |
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286 |
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287 ##plot start |
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288 if (length(phenoDataClass)>2){ |
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289 for (k in 1:(length(phenoDataClass)-1)){ |
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290 for (l in (k+1):length(phenoDataClass)){ |
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291 #print(paste(phenoDataClass[k],"vs",phenoDataClass[l],sep=" ")) |
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292 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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293 colvect <- NULL |
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294 for (j in 1:length(classnames[[k]])) { |
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295 tic <- TIC[[classnames[[k]][j]]] |
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296 # points(tic[,1]/60, tic[,2], col=cols[i], pch=pch[i], type="l") |
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297 points(tic[,1]/60, tic[,2], col=cols[classnames[[k]][j]], pch=pch[classnames[[k]][j]], type="l") |
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298 colvect <- append(colvect,cols[classnames[[k]][j]]) |
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299 } |
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300 for (j in 1:length(classnames[[l]])) { |
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301 # i=class2names[j] |
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302 tic <- TIC[[classnames[[l]][j]]] |
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303 points(tic[,1]/60, -tic[,2], col=cols[classnames[[l]][j]], pch=pch[classnames[[l]][j]], type="l") |
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304 colvect <- append(colvect,cols[classnames[[l]][j]]) |
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305 } |
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306 legend("topright",paste(basename(files[c(classnames[[k]],classnames[[l]])])), col=colvect, lty=lty, pch=pch) |
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307 } |
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308 } |
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309 }#end if length >2 |
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310 if (length(phenoDataClass)==2){ |
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311 k <- 1 |
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312 l <- 2 |
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313 |
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314 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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315 colvect <- NULL |
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316 for (j in 1:length(classnames[[k]])) { |
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317 tic <- TIC[[classnames[[k]][j]]] |
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318 # points(tic[,1]/60, tic[,2], col=cols[i], pch=pch[i], type="l") |
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319 points(tic[,1]/60, tic[,2], col=cols[classnames[[k]][j]], pch=pch[classnames[[k]][j]], type="l") |
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320 colvect <- append(colvect,cols[classnames[[k]][j]]) |
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321 } |
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322 for (j in 1:length(classnames[[l]])) { |
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323 # i <- class2names[j] |
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324 tic <- TIC[[classnames[[l]][j]]] |
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325 points(tic[,1]/60, -tic[,2], col=cols[classnames[[l]][j]], pch=pch[classnames[[l]][j]], type="l") |
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326 colvect <- append(colvect,cols[classnames[[l]][j]]) |
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327 } |
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328 legend("topright",paste(basename(files[c(classnames[[k]],classnames[[l]])])), col=colvect, lty=lty, pch=pch) |
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329 |
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330 }#end length ==2 |
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331 |
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332 #case where only one class |
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333 if (length(phenoDataClass)==1){ |
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334 k <- 1 |
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335 ylim <- range(sapply(TIC, function(x) range(x[,2]))) |
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336 |
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337 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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338 colvect <- NULL |
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339 for (j in 1:length(classnames[[k]])) { |
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340 tic <- TIC[[classnames[[k]][j]]] |
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341 # points(tic[,1]/60, tic[,2], col=cols[i], pch=pch[i], type="l") |
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342 points(tic[,1]/60, tic[,2], col=cols[classnames[[k]][j]], pch=pch[classnames[[k]][j]], type="l") |
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343 colvect <- append(colvect,cols[classnames[[k]][j]]) |
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344 } |
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345 |
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346 legend("topright",paste(basename(files[c(classnames[[k]])])), col=colvect, lty=lty, pch=pch) |
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347 |
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348 }#end length ==1 |
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349 |
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350 dev.off() #pdf(pdfname,w=16,h=10) |
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351 |
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352 invisible(TIC) |
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353 } |
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354 |
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355 |
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356 |
29
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357 # Get the polarities from all the samples of a condition |
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358 #@author Misharl Monsoor misharl.monsoor@sb-roscoff.fr ABiMS TEAM |
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359 #@author Gildas Le Corguille lecorguille@sb-roscoff.fr ABiMS TEAM |
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360 getSampleMetadata <- function(xdata=NULL, sampleMetadataOutput="sampleMetadata.tsv") { |
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361 cat("Creating the sampleMetadata file...\n") |
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362 |
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363 #Create the sampleMetada dataframe |
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364 sampleMetadata <- xdata@phenoData@data |
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365 rownames(sampleMetadata) <- NULL |
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366 colnames(sampleMetadata) <- c("sampleMetadata", "class") |
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367 |
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368 sampleNamesOrigin <- sampleMetadata$sampleMetadata |
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369 sampleNamesMakeNames <- make.names(sampleNamesOrigin) |
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370 |
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371 if (any(duplicated(sampleNamesMakeNames))) { |
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372 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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373 for (sampleName in sampleNamesOrigin) { |
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374 write(paste(sampleName,"\t->\t",make.names(sampleName)),stderr()) |
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375 } |
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376 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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377 } |
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378 |
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379 if (!all(sampleNamesOrigin == sampleNamesMakeNames)) { |
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380 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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381 for (sampleName in sampleNamesOrigin) { |
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382 cat(paste(sampleName,"\t->\t",make.names(sampleName),"\n")) |
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383 } |
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384 } |
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385 |
29
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386 sampleMetadata$sampleMetadata <- sampleNamesMakeNames |
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387 |
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388 |
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389 #For each sample file, the following actions are done |
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390 for (fileIdx in 1:length(fileNames(xdata))) { |
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391 #Check if the file is in the CDF format |
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392 if (!mzR:::netCDFIsFile(fileNames(xdata))) { |
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393 |
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394 # If the column isn't exist, with add one filled with NA |
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395 if (is.null(sampleMetadata$polarity)) sampleMetadata$polarity <- NA |
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396 |
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397 #Extract the polarity (a list of polarities) |
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398 polarity <- fData(xdata)[fData(xdata)$fileIdx == fileIdx,"polarity"] |
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399 #Verify if all the scans have the same polarity |
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400 uniq_list <- unique(polarity) |
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401 if (length(uniq_list)>1){ |
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402 polarity <- "mixed" |
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403 } else { |
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404 polarity <- as.character(uniq_list) |
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405 } |
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406 |
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407 #Set the polarity attribute |
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408 sampleMetadata$polarity[fileIdx] <- polarity |
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409 } |
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410 |
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411 } |
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412 |
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413 write.table(sampleMetadata, sep="\t", quote=FALSE, row.names=FALSE, file=sampleMetadataOutput) |
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414 |
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415 return(list("sampleNamesOrigin"=sampleNamesOrigin, "sampleNamesMakeNames"=sampleNamesMakeNames)) |
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416 |
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417 } |
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418 |
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419 |
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420 # This function check if xcms will found all the files |
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421 #@author Gildas Le Corguille lecorguille@sb-roscoff.fr ABiMS TEAM |
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422 checkFilesCompatibilityWithXcms <- function(directory) { |
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423 cat("Checking files filenames compatibilities with xmcs...\n") |
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424 # WHAT XCMS WILL FIND |
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425 filepattern <- c("[Cc][Dd][Ff]", "[Nn][Cc]", "([Mm][Zz])?[Xx][Mm][Ll]","[Mm][Zz][Dd][Aa][Tt][Aa]", "[Mm][Zz][Mm][Ll]") |
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426 filepattern <- paste(paste("\\.", filepattern, "$", sep=""),collapse="|") |
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427 info <- file.info(directory) |
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428 listed <- list.files(directory[info$isdir], pattern=filepattern, recursive=TRUE, full.names=TRUE) |
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429 files <- c(directory[!info$isdir], listed) |
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430 files_abs <- file.path(getwd(), files) |
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431 exists <- file.exists(files_abs) |
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432 files[exists] <- files_abs[exists] |
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433 files[exists] <- sub("//","/",files[exists]) |
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434 |
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435 # WHAT IS ON THE FILESYSTEM |
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436 filesystem_filepaths <- system(paste0("find \"$PWD/",directory,"\" -not -name '\\.*' -not -path '*conda-env*' -type f -name \"*\""), intern=T) |
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437 filesystem_filepaths <- filesystem_filepaths[grep(filepattern, filesystem_filepaths, perl=T)] |
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438 |
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439 # COMPARISON |
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440 if (!is.na(table(filesystem_filepaths %in% files)["FALSE"])) { |
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441 write("\n\nERROR: List of the files which will not be imported by xcmsSet",stderr()) |
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442 write(filesystem_filepaths[!(filesystem_filepaths %in% files)],stderr()) |
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443 stop("\n\nERROR: One or more of your files will not be import by xcmsSet. It may due to bad characters in their filenames.") |
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444 } |
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445 } |
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446 |
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447 |
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448 #This function list the compatible files within the directory as xcms did |
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449 #@author Gildas Le Corguille lecorguille@sb-roscoff.fr ABiMS TEAM |
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450 getMSFiles <- function (directory) { |
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451 filepattern <- c("[Cc][Dd][Ff]", "[Nn][Cc]", "([Mm][Zz])?[Xx][Mm][Ll]","[Mm][Zz][Dd][Aa][Tt][Aa]", "[Mm][Zz][Mm][Ll]") |
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452 filepattern <- paste(paste("\\.", filepattern, "$", sep=""),collapse="|") |
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453 info <- file.info(directory) |
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454 listed <- list.files(directory[info$isdir], pattern=filepattern,recursive=TRUE, full.names=TRUE) |
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455 files <- c(directory[!info$isdir], listed) |
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456 exists <- file.exists(files) |
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457 files <- files[exists] |
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458 return(files) |
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459 } |
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460 |
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461 # This function check if XML contains special caracters. It also checks integrity and completness. |
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462 #@author Misharl Monsoor misharl.monsoor@sb-roscoff.fr ABiMS TEAM |
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463 checkXmlStructure <- function (directory) { |
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464 cat("Checking XML structure...\n") |
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465 |
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466 cmd <- paste0("IFS=$'\n'; for xml in $(find '",directory,"' -not -name '\\.*' -not -path '*conda-env*' -type f -iname '*.*ml*'); do if [ $(xmllint --nonet --noout \"$xml\" 2> /dev/null; echo $?) -gt 0 ]; then echo $xml;fi; done;") |
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467 capture <- system(cmd, intern=TRUE) |
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468 |
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469 if (length(capture)>0){ |
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470 #message=paste("The following mzXML or mzML file is incorrect, please check these files first:",capture) |
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471 write("\n\nERROR: The following mzXML or mzML file(s) are incorrect, please check these files first:", stderr()) |
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472 write(capture, stderr()) |
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473 stop("ERROR: xcmsSet cannot continue with incorrect mzXML or mzML files") |
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474 } |
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475 |
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476 } |
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477 |
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478 |
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479 # This function check if XML contain special characters |
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480 #@author Misharl Monsoor misharl.monsoor@sb-roscoff.fr ABiMS TEAM |
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481 deleteXmlBadCharacters<- function (directory) { |
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482 cat("Checking Non ASCII characters in the XML...\n") |
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483 |
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484 processed <- F |
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485 l <- system( paste0("find '",directory, "' -not -name '\\.*' -not -path '*conda-env*' -type f -iname '*.*ml*'"), intern=TRUE) |
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486 for (i in l){ |
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487 cmd <- paste("LC_ALL=C grep '[^ -~]' \"", i, "\"", sep="") |
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488 capture <- suppressWarnings(system(cmd, intern=TRUE)) |
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489 if (length(capture)>0){ |
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490 cmd <- paste("perl -i -pe 's/[^[:ascii:]]//g;'",i) |
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491 print( paste("WARNING: Non ASCII characters have been removed from the ",i,"file") ) |
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492 c <- system(cmd, intern=TRUE) |
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493 capture <- "" |
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494 processed <- T |
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495 } |
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496 } |
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497 if (processed) cat("\n\n") |
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498 return(processed) |
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499 } |
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500 |
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501 |
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502 # This function will compute MD5 checksum to check the data integrity |
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503 #@author Gildas Le Corguille lecorguille@sb-roscoff.fr |
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504 getMd5sum <- function (directory) { |
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505 cat("Compute md5 checksum...\n") |
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506 # WHAT XCMS WILL FIND |
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507 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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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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508 filepattern <- paste(paste("\\.", filepattern, "$", sep=""),collapse="|") |
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f4dc089f9d19
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 22c4e92909198328fc7439ff47e4546a273eb907
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changeset
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509 info <- file.info(directory) |
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020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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changeset
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510 listed <- list.files(directory[info$isdir], pattern=filepattern, recursive=TRUE, full.names=TRUE) |
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f4dc089f9d19
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 22c4e92909198328fc7439ff47e4546a273eb907
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changeset
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511 files <- c(directory[!info$isdir], listed) |
f4dc089f9d19
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 22c4e92909198328fc7439ff47e4546a273eb907
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512 exists <- file.exists(files) |
f4dc089f9d19
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 22c4e92909198328fc7439ff47e4546a273eb907
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513 files <- files[exists] |
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planemo upload commit a3229faad6949bbca965d1d7e138cb3c0550780e
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changeset
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514 |
14
f4dc089f9d19
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 22c4e92909198328fc7439ff47e4546a273eb907
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|
515 library(tools) |
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planemo upload commit a3229faad6949bbca965d1d7e138cb3c0550780e
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changeset
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516 |
14
f4dc089f9d19
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 22c4e92909198328fc7439ff47e4546a273eb907
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changeset
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517 #cat("\n\n") |
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planemo upload commit a3229faad6949bbca965d1d7e138cb3c0550780e
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changeset
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518 |
14
f4dc089f9d19
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 22c4e92909198328fc7439ff47e4546a273eb907
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519 return(as.matrix(md5sum(files))) |
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planemo upload commit a3229faad6949bbca965d1d7e138cb3c0550780e
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changeset
|
520 } |
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a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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changeset
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521 |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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changeset
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522 |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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changeset
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523 # This function get the raw file path from the arguments |
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020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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changeset
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524 #@author Gildas Le Corguille lecorguille@sb-roscoff.fr |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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525 getRawfilePathFromArguments <- function(singlefile, zipfile, args) { |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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changeset
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526 if (!is.null(args$zipfile)) zipfile <- args$zipfile |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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changeset
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527 if (!is.null(args$zipfilePositive)) zipfile <- args$zipfilePositive |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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changeset
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528 if (!is.null(args$zipfileNegative)) zipfile <- args$zipfileNegative |
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a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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529 |
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020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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changeset
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530 if (!is.null(args$singlefile_galaxyPath)) { |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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531 singlefile_galaxyPaths <- args$singlefile_galaxyPath; |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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532 singlefile_sampleNames <- args$singlefile_sampleName |
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a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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533 } |
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020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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changeset
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534 if (!is.null(args$singlefile_galaxyPathPositive)) { |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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changeset
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535 singlefile_galaxyPaths <- args$singlefile_galaxyPathPositive; |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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536 singlefile_sampleNames <- args$singlefile_sampleNamePositive |
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a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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changeset
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537 } |
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020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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changeset
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538 if (!is.null(args$singlefile_galaxyPathNegative)) { |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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changeset
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539 singlefile_galaxyPaths <- args$singlefile_galaxyPathNegative; |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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540 singlefile_sampleNames <- args$singlefile_sampleNameNegative |
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a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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changeset
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541 } |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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542 if (exists("singlefile_galaxyPaths")){ |
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cc3a32791781
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 7b226c3ba91a3cf654ec1c14b3ef85090968bb0f
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changeset
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543 singlefile_galaxyPaths <- unlist(strsplit(singlefile_galaxyPaths,"\\|")) |
cc3a32791781
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 7b226c3ba91a3cf654ec1c14b3ef85090968bb0f
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changeset
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544 singlefile_sampleNames <- unlist(strsplit(singlefile_sampleNames,"\\|")) |
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a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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545 |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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546 singlefile <- NULL |
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a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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547 for (singlefile_galaxyPath_i in seq(1:length(singlefile_galaxyPaths))) { |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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changeset
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548 singlefile_galaxyPath <- singlefile_galaxyPaths[singlefile_galaxyPath_i] |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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549 singlefile_sampleName <- singlefile_sampleNames[singlefile_galaxyPath_i] |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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550 singlefile[[singlefile_sampleName]] <- singlefile_galaxyPath |
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a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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551 } |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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552 } |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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553 for (argument in c("zipfile","zipfilePositive","zipfileNegative","singlefile_galaxyPath","singlefile_sampleName","singlefile_galaxyPathPositive","singlefile_sampleNamePositive","singlefile_galaxyPathNegative","singlefile_sampleNameNegative")) { |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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554 args[[argument]] <- NULL |
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a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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changeset
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555 } |
29
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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556 return(list(zipfile=zipfile, singlefile=singlefile, args=args)) |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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557 } |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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558 |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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559 |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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560 # This function retrieve the raw file in the working directory |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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561 # - if zipfile: unzip the file with its directory tree |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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562 # - if singlefiles: set symlink with the good filename |
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020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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563 #@author Gildas Le Corguille lecorguille@sb-roscoff.fr |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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564 retrieveRawfileInTheWorkingDirectory <- function(singlefile, zipfile) { |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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565 if(!is.null(singlefile) && (length("singlefile")>0)) { |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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566 for (singlefile_sampleName in names(singlefile)) { |
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020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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567 singlefile_galaxyPath <- singlefile[[singlefile_sampleName]] |
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a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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diff
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|
568 if(!file.exists(singlefile_galaxyPath)){ |
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020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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569 error_message <- paste("Cannot access the sample:",singlefile_sampleName,"located:",singlefile_galaxyPath,". Please, contact your administrator ... if you have one!") |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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570 print(error_message); stop(error_message) |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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571 } |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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572 |
29
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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573 if (!suppressWarnings( try (file.link(singlefile_galaxyPath, singlefile_sampleName), silent=T))) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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574 file.copy(singlefile_galaxyPath, singlefile_sampleName) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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575 |
20
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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576 } |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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577 directory <- "." |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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578 |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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579 } |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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580 if(!is.null(zipfile) && (zipfile != "")) { |
20
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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581 if(!file.exists(zipfile)){ |
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020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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582 error_message <- paste("Cannot access the Zip file:",zipfile,". Please, contact your administrator ... if you have one!") |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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583 print(error_message) |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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584 stop(error_message) |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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585 } |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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586 |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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587 #list all file in the zip file |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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588 #zip_files <- unzip(zipfile,list=T)[,"Name"] |
20
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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589 |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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590 #unzip |
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591 suppressWarnings(unzip(zipfile, unzip="unzip")) |
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592 |
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593 #get the directory name |
29
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594 suppressWarnings(filesInZip <- unzip(zipfile, list=T)) |
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595 directories <- unique(unlist(lapply(strsplit(filesInZip$Name,"/"), function(x) x[1]))) |
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596 directories <- directories[!(directories %in% c("__MACOSX")) & file.info(directories)$isdir] |
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597 directory <- "." |
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598 if (length(directories) == 1) directory <- directories |
20
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599 |
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600 cat("files_root_directory\t",directory,"\n") |
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601 |
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602 } |
a79d839d625f
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 87dc789d7cd70a3733a1ad0b5a427f4d5905795d
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603 return (directory) |
a79d839d625f
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604 } |
29
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605 |
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606 |
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607 # This function retrieve a xset like object |
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608 #@author Gildas Le Corguille lecorguille@sb-roscoff.fr |
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609 getxcmsSetObject <- function(xobject) { |
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610 # XCMS 1.x |
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611 if (class(xobject) == "xcmsSet") |
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612 return (xobject) |
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613 # XCMS 3.x |
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614 if (class(xobject) == "XCMSnExp") { |
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615 # Get the legacy xcmsSet object |
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616 suppressWarnings(xset <- as(xobject, 'xcmsSet')) |
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617 sampclass(xset) <- xset@phenoData$sample_group |
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618 return (xset) |
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619 } |
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620 } |
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621 |
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622 |
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623 #@TODO: remove this function as soon as we can use xcms 3.x.x from Bioconductor 3.7 |
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624 # https://github.com/sneumann/xcms/issues/250 |
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625 groupnamesW4M <- function(xdata, mzdec = 0, rtdec = 0) { |
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626 mzfmt <- paste("%.", mzdec, "f", sep = "") |
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627 rtfmt <- paste("%.", rtdec, "f", sep = "") |
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628 |
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629 gnames <- paste("M", sprintf(mzfmt, featureDefinitions(xdata)[,"mzmed"]), "T", |
020d065edd9e
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630 sprintf(rtfmt, featureDefinitions(xdata)[,"rtmed"]), sep = "") |
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631 |
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632 if (any(dup <- duplicated(gnames))) |
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633 for (dupname in unique(gnames[dup])) { |
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634 dupidx <- which(gnames == dupname) |
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635 gnames[dupidx] <- paste(gnames[dupidx], seq(along = dupidx), sep = "_") |
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636 } |
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637 |
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638 return (gnames) |
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639 } |
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640 |
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641 #@TODO: remove this function as soon as we can use xcms 3.x.x from Bioconductor 3.7 |
020d065edd9e
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642 # https://github.com/sneumann/xcms/issues/247 |
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643 .concatenate_XCMSnExp <- function(...) { |
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644 x <- list(...) |
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645 if (length(x) == 0) |
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646 return(NULL) |
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647 if (length(x) == 1) |
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648 return(x[[1]]) |
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649 ## Check that all are XCMSnExp objects. |
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650 if (!all(unlist(lapply(x, function(z) is(z, "XCMSnExp"))))) |
020d065edd9e
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651 stop("All passed objects should be 'XCMSnExp' objects") |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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652 new_x <- as(.concatenate_OnDiskMSnExp(...), "XCMSnExp") |
020d065edd9e
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653 ## If any of the XCMSnExp has alignment results or detected features drop |
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654 ## them! |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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655 x <- lapply(x, function(z) { |
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656 if (hasAdjustedRtime(z)) { |
020d065edd9e
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657 z <- dropAdjustedRtime(z) |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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658 warning("Adjusted retention times found, had to drop them.") |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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659 } |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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660 if (hasFeatures(z)) { |
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661 z <- dropFeatureDefinitions(z) |
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662 warning("Feature definitions found, had to drop them.") |
020d065edd9e
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663 } |
020d065edd9e
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664 z |
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665 }) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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666 ## Combine peaks |
020d065edd9e
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667 fls <- lapply(x, fileNames) |
020d065edd9e
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668 startidx <- cumsum(lengths(fls)) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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669 pks <- lapply(x, chromPeaks) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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670 procH <- lapply(x, processHistory) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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671 for (i in 2:length(fls)) { |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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672 pks[[i]][, "sample"] <- pks[[i]][, "sample"] + startidx[i - 1] |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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673 procH[[i]] <- lapply(procH[[i]], function(z) { |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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674 z@fileIndex <- as.integer(z@fileIndex + startidx[i - 1]) |
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675 z |
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676 }) |
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677 } |
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678 pks <- do.call(rbind, pks) |
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679 new_x@.processHistory <- unlist(procH) |
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680 chromPeaks(new_x) <- pks |
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681 if (validObject(new_x)) |
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682 new_x |
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683 } |
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684 |
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685 #@TODO: remove this function as soon as we can use xcms 3.x.x from Bioconductor 3.7 |
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686 # https://github.com/sneumann/xcms/issues/247 |
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687 .concatenate_OnDiskMSnExp <- function(...) { |
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688 x <- list(...) |
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689 if (length(x) == 0) |
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690 return(NULL) |
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691 if (length(x) == 1) |
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692 return(x[[1]]) |
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693 ## Check that all are XCMSnExp objects. |
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694 if (!all(unlist(lapply(x, function(z) is(z, "OnDiskMSnExp"))))) |
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695 stop("All passed objects should be 'OnDiskMSnExp' objects") |
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696 ## Check processingQueue |
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697 procQ <- lapply(x, function(z) z@spectraProcessingQueue) |
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698 new_procQ <- procQ[[1]] |
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699 is_ok <- unlist(lapply(procQ, function(z) |
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700 !is.character(all.equal(new_procQ, z)) |
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701 )) |
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702 if (any(!is_ok)) { |
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703 warning("Processing queues from the submitted objects differ! ", |
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704 "Dropping the processing queue.") |
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705 new_procQ <- list() |
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706 } |
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707 ## processingData |
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708 fls <- lapply(x, function(z) z@processingData@files) |
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709 startidx <- cumsum(lengths(fls)) |
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710 ## featureData |
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711 featd <- lapply(x, fData) |
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712 ## Have to update the file index and the spectrum names. |
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713 for (i in 2:length(featd)) { |
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714 featd[[i]]$fileIdx <- featd[[i]]$fileIdx + startidx[i - 1] |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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715 rownames(featd[[i]]) <- MSnbase:::formatFileSpectrumNames( |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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716 fileIds = featd[[i]]$fileIdx, |
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717 spectrumIds = featd[[i]]$spIdx, |
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718 nSpectra = nrow(featd[[i]]), |
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719 nFiles = length(unlist(fls)) |
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720 ) |
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721 } |
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722 featd <- do.call(rbind, featd) |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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723 featd$spectrum <- 1:nrow(featd) |
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724 ## experimentData |
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725 expdata <- lapply(x, function(z) { |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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726 ed <- z@experimentData |
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727 data.frame(instrumentManufacturer = ed@instrumentManufacturer, |
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728 instrumentModel = ed@instrumentModel, |
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729 ionSource = ed@ionSource, |
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730 analyser = ed@analyser, |
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731 detectorType = ed@detectorType, |
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732 stringsAsFactors = FALSE) |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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733 }) |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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734 expdata <- do.call(rbind, expdata) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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735 expdata <- new("MIAPE", |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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736 instrumentManufacturer = expdata$instrumentManufacturer, |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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737 instrumentModel = expdata$instrumentModel, |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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738 ionSource = expdata$ionSource, |
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739 analyser = expdata$analyser, |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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740 detectorType = expdata$detectorType) |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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741 |
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742 ## protocolData |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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743 protodata <- lapply(x, function(z) z@protocolData) |
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744 if (any(unlist(lapply(protodata, nrow)) > 0)) |
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745 warning("Found non-empty protocol data, but merging protocol data is", |
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746 " currently not supported. Skipped.") |
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747 ## phenoData |
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748 pdata <- do.call(rbind, lapply(x, pData)) |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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749 res <- new( |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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|
750 "OnDiskMSnExp", |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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751 phenoData = new("NAnnotatedDataFrame", data = pdata), |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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752 featureData = new("AnnotatedDataFrame", featd), |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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753 processingData = new("MSnProcess", |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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754 processing = paste0("Concatenated [", date(), "]"), |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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755 files = unlist(fls), smoothed = NA), |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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|
756 experimentData = expdata, |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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|
757 spectraProcessingQueue = new_procQ) |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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|
758 if (validObject(res)) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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759 res |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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760 } |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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761 |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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762 #@TODO: remove this function as soon as we can use xcms 3.x.x from Bioconductor 3.7 |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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763 # https://github.com/sneumann/xcms/issues/247 |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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764 c.XCMSnExp <- function(...) { |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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765 .concatenate_XCMSnExp(...) |
020d065edd9e
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit e384d6dd5f410799ec211f73bca0b5d5d7bc651e
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766 } |