annotate purityA.R @ 11:b563d5fe4fc0 draft default tip

planemo upload for repository https://github.com/computational-metabolomics/mspurity-galaxy commit 94f746247c464fb270358421399810d8a9fb9e8a
author computational-metabolomics
date Fri, 13 Sep 2024 13:38:46 +0000
parents 07282699b0ca
children
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e96082a25ff0 "planemo upload for repository https://github.com/computational-metabolomics/mspurity-galaxy commit cb903cd93f9378cfb5eeb68512a54178dcea7bbc-dirty"
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1 library(msPurity)
e96082a25ff0 "planemo upload for repository https://github.com/computational-metabolomics/mspurity-galaxy commit cb903cd93f9378cfb5eeb68512a54178dcea7bbc-dirty"
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2 library(optparse)
e96082a25ff0 "planemo upload for repository https://github.com/computational-metabolomics/mspurity-galaxy commit cb903cd93f9378cfb5eeb68512a54178dcea7bbc-dirty"
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3 print(sessionInfo())
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4
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5 option_list <- list(
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6 make_option(c("-o", "--out_dir"), type = "character"),
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7 make_option("--mzML_files", type = "character"),
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8 make_option("--galaxy_names", type = "character"),
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9 make_option("--minOffset", type = "numeric"),
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10 make_option("--maxOffset", type = "numeric"),
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11 make_option("--ilim", type = "numeric"),
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12 make_option("--iwNorm", default = "none", type = "character"),
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13 make_option("--exclude_isotopes", action = "store_true"),
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14 make_option("--isotope_matrix", type = "character"),
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15 make_option("--mostIntense", action = "store_true"),
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16 make_option("--plotP", action = "store_true"),
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17 make_option("--nearest", action = "store_true"),
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18 make_option("--cores", default = 4),
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19 make_option("--ppmInterp", default = 7)
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20 )
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22 opt <- parse_args(OptionParser(option_list = option_list))
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23 print(opt)
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24
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25 if (opt$iwNorm == "none") {
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26 iwNorm <- FALSE
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27 iwNormFun <- NULL
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28 } else if (opt$iwNorm == "gauss") {
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29 iwNorm <- TRUE
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30 if (is.null(opt$minOffset) || is.null(opt$maxOffset)) {
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31 print("User has to define offsets if using Gaussian normalisation")
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32 } else {
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33 iwNormFun <- msPurity::iwNormGauss(
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34 minOff = -as.numeric(opt$minOffset),
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35 maxOff = as.numeric(opt$maxOffset)
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36 )
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37 }
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38 } else if (opt$iwNorm == "rcosine") {
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39 iwNorm <- TRUE
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40 if (is.null(opt$minOffset) || is.null(opt$maxOffset)) {
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41 print("User has to define offsets if using R-cosine normalisation")
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42 } else {
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43 iwNormFun <- msPurity::iwNormRcosine(
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44 minOff = -as.numeric(opt$minOffset),
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45 maxOff = as.numeric(opt$maxOffset)
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46 )
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47 }
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48 } else if (opt$iwNorm == "QE5") {
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49 iwNorm <- TRUE
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50 iwNormFun <- msPurity::iwNormQE.5()
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51 }
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52
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53 filepaths <- trimws(strsplit(opt$mzML_files, ",")[[1]])
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54 filepaths <- filepaths[filepaths != ""]
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57
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58 if (is.null(opt$minOffset) || is.null(opt$maxOffset)) {
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59 offsets <- NA
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60 } else {
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61 offsets <- as.numeric(c(opt$minOffset, opt$maxOffset))
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62 }
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64
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65 if (is.null(opt$mostIntense)) {
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66 mostIntense <- FALSE
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67 } else {
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68 mostIntense <- TRUE
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69 }
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70
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71 if (is.null(opt$nearest)) {
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72 nearest <- FALSE
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73 } else {
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74 nearest <- TRUE
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75 }
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76
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77 if (is.null(opt$plotP)) {
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78 plotP <- FALSE
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79 plotdir <- NULL
8
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80 } else {
6
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81 plotP <- TRUE
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82 plotdir <- opt$out_dir
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83 }
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85
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86 if (is.null(opt$isotope_matrix)) {
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87 im <- NULL
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88 } else {
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89 im <- read.table(opt$isotope_matrix,
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90 header = TRUE, sep = "\t", stringsAsFactors = FALSE
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91 )
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92 }
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93
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94 if (is.null(opt$exclude_isotopes)) {
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95 isotopes <- FALSE
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96 } else {
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97 isotopes <- TRUE
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98 }
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99
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100 pa <- msPurity::purityA(filepaths,
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101 cores = opt$cores,
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102 mostIntense = mostIntense,
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103 nearest = nearest,
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104 offsets = offsets,
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105 plotP = plotP,
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106 plotdir = plotdir,
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107 interpol = "linear",
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108 iwNorm = iwNorm,
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109 iwNormFun = iwNormFun,
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110 ilim = opt$ilim,
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111 mzRback = "pwiz",
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112 isotopes = isotopes,
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113 im = im,
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114 ppmInterp = opt$ppmInterp
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115 )
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116
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117
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118 if (!is.null(opt$galaxy_names)) {
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119 galaxy_names <- trimws(strsplit(opt$galaxy_names, ",")[[1]])
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120 galaxy_names <- galaxy_names[galaxy_names != ""]
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121 names(pa@fileList) <- galaxy_names
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122 }
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123
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124 print(pa)
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125 save(pa, file = file.path(opt$out_dir, "purityA_output.RData"))
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126
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127 pa@puritydf$filename <- sapply(as.character(pa@puritydf$fileid), function(x) names(pa@fileList)[as.integer(x)])
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128
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129 print(head(pa@puritydf))
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130 write.table(pa@puritydf, file.path(opt$out_dir, "purityA_output.tsv"), row.names = FALSE, sep = "\t")