Mercurial > repos > workflow4metabolomics > ms2snoop
annotate MS2snoop.R @ 7:2a1f120a6874 draft default tip
planemo upload commit d9b3849751af6f74e3371db0c3525dcd08728723
author | workflow4metabolomics |
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date | Tue, 10 Jan 2023 11:07:48 +0000 |
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1 #' read and process mspurity W4M files |
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2 #' create a summary of fragment for each precursor and a graphics of peseudo |
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3 #' spectra + correlation on which checking of fragment is based on |
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4 #' V3 try to identify and process multiple files for 1 precursor which may |
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5 #' occur if different collision energy are used |
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6 #' V4 elimination of correlation = NA. Correlation is done with precursor, if |
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7 #' precursor is not present correlation with most intense peak |
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8 #' author: Jean-Francois Martin |
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9 #' V5 is versionned, lintR-compliant, packaged, unit-tested, documented and |
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10 #' tested against data from other labs. |
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11 #' new maintainer: Lain Pavot - lain.pavot@inrae.fr |
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12 #' |
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13 #' @import optparse |
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14 #' |
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15 |
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16 |
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17 get_version <- function() { |
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18 cmd <- commandArgs(trailingOnly = FALSE) |
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19 root <- dirname(gsub("--file=", "", cmd[grep("--file=", cmd)])) |
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20 readme <- readLines(file.path(root, "README.md")) |
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21 version_line <- readme[grepl(" * **@version**: ", readme, fixed = TRUE)] |
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22 return(gsub(".*: ", "", version_line)) |
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23 } |
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24 |
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25 defaults <- list( |
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26 MS2SNOOP_VERSION = get_version(), |
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27 MISSING_PARAMETER_ERROR = 1, |
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28 BAD_PARAMETER_VALUE_ERROR = 2, |
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29 MISSING_INPUT_FILE_ERROR = 3, |
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30 NO_ANY_RESULT_ERROR = 255, |
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31 DEFAULT_PRECURSOR_PATH = NULL, |
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32 DEFAULT_FRAGMENTS_PATH = NULL, |
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33 DEFAULT_COMPOUNDS_PATH = NULL, |
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34 DEFAULT_OUTPUT_PATH = "compound_fragments_result.txt", |
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35 DEFAULT_TOLMZ = 0.01, |
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36 DEFAULT_TOLRT = 20, |
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37 DEFAULT_MZDECIMAL = 3, |
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38 DEFAULT_R_THRESHOLD = 0.85, |
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39 DEFAULT_MINNUMBERSCAN = 8, |
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40 DEFAULT_SEUIL_RA = 0.05, |
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41 DEFAULT_FRAGMENTS_MATCH_DELTA = 10, |
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42 DEFAULT_FRAGMENTS_MATCH_DELTA_UNIT = "ppm", |
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43 DEFAULT_PDF_PATH = "" |
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44 ) |
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45 env <- globalenv() |
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46 for (default in names(defaults)) { |
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47 assign(default, defaults[[default]], envir = env) |
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48 lockBinding(default, env) |
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49 } |
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50 |
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51 ######################################################################## |
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52 |
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53 get_formulas <- function( |
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54 mzref, |
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55 spectra, |
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56 processing_parameters, |
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57 background = !TRUE, |
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58 show_sirius_outputs = !TRUE |
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59 ) { |
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60 if (is.vector(mzref) && length(mzref) > 1) { |
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61 return(lapply( |
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62 mzref, |
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63 function(mz) { |
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64 return(get_formulas( |
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65 mzref = mz, |
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66 spectra = spectra, |
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67 processing_parameters = processing_parameters, |
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68 background = background |
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69 )) |
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70 } |
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71 )) |
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72 } |
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73 input <- sprintf( |
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74 "%s-%s.ms", |
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75 gsub("[[:space:]]", "_", processing_parameters$c_name), |
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76 mzref |
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77 ) |
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78 create_ms_file(input, mzref, spectra, processing_parameters) |
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79 output <- sprintf( |
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80 "out/%s-%s.out", |
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81 gsub("[[:space:]]", "_", processing_parameters$c_name), |
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82 mzref |
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83 ) |
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84 command <- sprintf( |
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85 paste( |
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86 "sirius", |
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87 "--noCite", |
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88 "--noSummaries", |
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89 "--loglevel=WARNING", |
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90 "-i='%s'", |
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91 "-o='%s'", |
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92 "tree", |
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93 "2>&1" |
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94 ), |
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95 input, |
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96 output |
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97 ) |
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98 if (!show_sirius_outputs) { |
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99 ## loglevel is not taken into account during |
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100 ## sirius startup, so we filter outputs... |
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101 command <- paste(command, "| grep '^(WARNING|SEVERE)'") |
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102 } |
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103 verbose_catf( |
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104 ">> Sirius is running %swith the command: %s\n", |
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105 if (background) "in the background " else "", |
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106 command |
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107 ) |
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108 system( |
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109 command, |
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110 wait = !background, |
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111 ignore.stdout = background, |
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112 ignore.stderr = background |
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113 ) |
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114 return(extract_sirius_results(output, spectra$mz, processing_parameters)) |
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115 } |
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116 |
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117 create_ms_file <- function( |
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118 path, |
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119 mzref, |
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120 spectra, |
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121 processing_parameters |
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122 ) { |
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123 file_content <- paste( |
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124 sprintf(">compound %s", processing_parameters$c_name), |
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125 sprintf(">ionization %s", processing_parameters$ionization), |
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126 sprintf(">parentmass %s", mzref), |
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127 sprintf(">formula %s", processing_parameters$elemcomposition), |
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128 sep = "\n" |
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129 ) |
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130 displayed_file_content <- sprintf( |
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131 "%s\n>collision\n%s", |
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132 file_content, |
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133 paste( |
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134 sprintf( |
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135 "%s %s", |
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136 spectra[1:3, "mz"], |
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137 spectra[1:3, "intensities"] |
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138 ), |
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139 collapse = "\n" |
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140 ) |
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141 ) |
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142 if (nrow(spectra) > 3) { |
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143 displayed_file_content <- sprintf( |
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144 "%s\n[... %s more rows of mz and intensities ...]", |
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145 displayed_file_content, |
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146 nrow(spectra) - 3 |
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147 ) |
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148 } |
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149 catf( |
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150 ">> MS file created for %s with content:\n%s\n", |
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151 processing_parameters$c_name, |
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152 displayed_file_content |
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153 ) |
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154 file_content <- sprintf( |
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155 "%s\n\n>collision\n%s", |
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156 file_content, |
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157 paste( |
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158 paste(spectra$mz, spectra$intensities), |
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159 collapse = "\n" |
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160 ) |
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161 ) |
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162 cat(file_content, file = path, append = FALSE) |
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163 } |
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164 |
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165 extract_sirius_results <- function( |
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166 output, |
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167 mz_list, |
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168 processing_parameters |
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169 ) { |
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170 |
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171 delta <- processing_parameters$fragment_match_delta |
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172 delta_unit <- tolower(processing_parameters$fragment_match_delta_unit) |
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173 |
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174 output <- list.dirs(output, recursive = FALSE)[[1]] |
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175 |
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176 spectra_out_dir <- sprintf("%s/spectra", output) |
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177 spectra_filename <- sprintf( |
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178 "%s/%s", |
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179 spectra_out_dir, |
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180 list.files(spectra_out_dir)[[1]] |
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181 ) |
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182 |
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183 trees_out_dir <- sprintf("%s/trees", output) |
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184 trees_filename <- sprintf( |
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185 "%s/%s", |
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186 trees_out_dir, |
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187 list.files(trees_out_dir)[[1]] |
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188 ) |
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189 |
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190 if (!is.null(spectra_filename)) { |
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191 sirius_results <- get_csv_or_tsv(spectra_filename) |
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192 } else { |
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193 return(rep(NA, length(mz_list))) |
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194 } |
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195 if (!is.null(trees_filename)) { |
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196 extracted_ppm <- extract_sirius_ppm(trees_filename) |
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197 sirius_results <- cbind(sirius_results, extracted_ppm) |
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198 } else { |
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199 return(rep(NA, length(mz_list))) |
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200 } |
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201 |
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202 fragment_matchings <- data.frame( |
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203 formula = NA, |
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204 ppm = NA, |
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205 mz = mz_list, |
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206 error = NA |
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207 ) |
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208 |
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209 sirius_results <- filter_sirius_with_delta( |
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210 sirius_results = sirius_results, |
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211 original_mz = fragment_matchings$mz, |
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212 delta = delta, |
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213 delta_unit = delta_unit |
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214 ) |
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215 |
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216 for (index in seq_len(nrow(sirius_results))) { |
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217 result <- sirius_results[index, ] |
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218 filter <- order(abs(fragment_matchings$mz - result$mz))[1] |
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219 fragment_matchings[filter, "formula"] <- result$formula |
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220 fragment_matchings[filter, "ppm"] <- result$ppm |
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221 catf( |
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222 "[OK] Fragment with m/z=%s matches %s with a difference of %s ppm\n", |
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223 fragment_matchings[filter, "mz"], result$formula, result$ppm |
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224 ) |
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225 } |
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226 return(fragment_matchings) |
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227 } |
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228 |
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229 filter_sirius_with_delta <- function( |
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230 sirius_results, |
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231 original_mz, |
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232 delta, |
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233 delta_unit |
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234 ) { |
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235 if (is.numeric(delta) && !is.na(delta) && delta > 0) { |
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236 if (delta_unit == "ppm") { |
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237 filter <- abs(sirius_results$ppm) <= delta |
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238 fine <- which(filter) |
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239 not_fine <- which(!filter) |
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240 catf( |
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241 paste( |
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242 "[KO] fragment %s (m/z=%s) eleminated because ppm=%s is greater", |
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243 "than delta=%s\n" |
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244 ), |
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245 sirius_results[not_fine, ]$formula, |
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246 sirius_results[not_fine, ]$mz, |
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247 sirius_results[not_fine, ]$ppm, |
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248 delta |
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249 ) |
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250 sirius_results <- sirius_results[fine, ] |
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251 } else if (delta_unit == "mz") { |
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252 differences <- sapply( |
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253 sirius_results$mz, |
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254 function(mz) min(abs(original_mz - mz)) |
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255 ) |
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256 fine <- which(sapply( |
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257 sirius_results$mz, |
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258 function(mz) any(abs(original_mz - mz) <= delta) |
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259 )) |
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260 not_fine <- which(sapply( |
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261 sirius_results$mz, |
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262 function(mz) all(abs(original_mz - mz) > delta) |
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263 )) |
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264 catf( |
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265 paste( |
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266 "[KO] fragment %s eleminated because mz difference=%s is", |
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267 "greater than delta=%s\n" |
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268 ), |
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269 sirius_results[not_fine, ]$formula, |
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270 differences[not_fine], |
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271 delta |
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272 ) |
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273 sirius_results <- sirius_results[fine, ] |
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274 } |
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275 } |
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276 return(sirius_results) |
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277 } |
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278 |
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279 extract_sirius_ppm <- function(path) { |
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280 json <- file(path, "r") |
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281 suppressWarnings(json_lines <- readLines(json)) |
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282 close(json) |
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283 json_lines <- json_lines[ |
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284 grepl("\\s+\"(massDeviation|recalibratedMass)\" :", json_lines) |
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285 ] |
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286 json_lines <- gsub("^\\s+\"[^\"]+\" : \"?", "", json_lines) |
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287 ppms <- json_lines[seq(1, length(json_lines), 2)] |
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288 mz <- json_lines[seq(2, length(json_lines), 2)] |
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289 ppms <- as.numeric(gsub(" ppm .*", "", ppms)) |
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290 mz <- as.numeric(gsub(",$", "", mz)) |
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291 ordered <- order(mz) |
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292 return(list(ppm = ppms[ordered], recalibrated_mz = mz[ordered])) |
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293 } |
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294 |
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295 #' @title plot_pseudo_spectra |
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296 #' @param x |
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297 #' @param fid |
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298 #' @param sum_int |
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299 #' @param vmz |
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300 #' @param cor_abs_int |
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301 #' @param refcol |
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302 #' @param c_name |
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303 #' @description plot_pseudo_spectra |
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304 #' function to compute sum of intensities among scans for all |
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305 #' m/z kept (cor > r_threshold & minimum number of scans) |
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306 #' and plot pseudo spectra |
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307 #' x dataframe scan X fragments with scans number in the 1st column and |
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308 #' ions in next with intensities |
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309 #' fid file id when several a precursor has been detected in several files |
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310 plot_pseudo_spectra <- function( |
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311 x, |
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312 fid, |
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313 sum_int, |
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314 vmz, |
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315 cor_abs_int, |
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316 refcol, |
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317 meaned_mz, |
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318 processing_parameters |
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319 ) { |
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320 ## du fait de la difference de nombre de colonne entre la dataframe qui |
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321 ## inclue les scans en 1ere col, mzRef se decale de 1 |
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322 refcol <- refcol - 1 |
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323 ## compute relative intensities max=100% |
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324 rel_int <- sum_int[-1] |
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325 rel_int <- rel_int / max(rel_int) |
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326 |
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327 if (processing_parameters$do_pdf) { |
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328 ## define max value on vertical axis (need to increase in order to plot the |
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329 ## label of fragments) |
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330 ymax <- max(rel_int) + 0.2 * max(rel_int) |
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331 |
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332 par(mfrow = c(2, 1)) |
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333 plot(vmz, rel_int, type = "h", ylim = c(0, ymax), |
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334 main = processing_parameters$c_name |
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335 ) |
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336 ## low correl coef. will be display in grey |
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337 cor_low <- which(round(cor_abs_int, 2) < processing_parameters$r_threshold) |
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338 |
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339 lbmzcor <- sprintf("%s(r=%s)", vmz, round(cor_abs_int, 2)) |
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340 |
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341 if (length(cor_low) > 0) { |
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342 text( |
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343 vmz[cor_low], |
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344 rel_int[cor_low], |
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345 lbmzcor[cor_low], |
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346 cex = 0.5, |
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347 col = "grey", |
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348 srt = 90, |
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349 adj = 0 |
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350 ) |
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351 if (length(vmz) - length(cor_low) > 1) { |
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352 text( |
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353 vmz[-c(refcol, cor_low)], |
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354 rel_int[-c(refcol, cor_low)], |
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355 lbmzcor[-c(refcol, cor_low)], |
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356 cex = 0.6, |
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357 col = 1, |
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358 srt = 90, |
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359 adj = 0 |
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360 ) |
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361 } |
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362 } else { |
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363 if (length(vmz) > 1) { |
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364 text( |
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365 vmz[-c(refcol)], |
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366 rel_int[-c(refcol)], |
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367 lbmzcor[-c(refcol)], |
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368 cex = 0.6, |
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369 col = 1, |
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370 srt = 90, |
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371 adj = 0 |
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372 ) |
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373 } |
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374 } |
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375 |
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376 text( |
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377 vmz[refcol], |
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378 rel_int[refcol], |
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379 lbmzcor[refcol], |
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380 cex = 0.8, |
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381 col = 2, |
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382 srt = 90, |
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383 adj = 0 |
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384 ) |
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385 } |
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386 |
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387 ## prepare result file |
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388 cor_valid <- (round(cor_abs_int, 2) >= processing_parameters$r_threshold) |
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389 |
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390 do_sirius <- TRUE |
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391 verbose_catf("Checking sirius parameters...\n") |
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392 if (is.null(processing_parameters$ionization)) { |
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393 do_sirius <- FALSE |
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394 verbose_catf("[KO] No ionization passed in parameter.\n") |
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395 } else { |
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396 verbose_catf("[OK] Ionization=%s.\n", processing_parameters$ionization) |
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397 } |
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398 if (is.na(processing_parameters$elemcomposition)) { |
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399 do_sirius <- FALSE |
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400 verbose_catf("[KO] Elemental composition is NA.\n") |
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401 } else if (length(processing_parameters$elemcomposition) < 1) { |
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402 do_sirius <- FALSE |
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403 verbose_catf("[KO] No elemental composition is provided.\n") |
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404 } else if (processing_parameters$elemcomposition == "") { |
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405 do_sirius <- FALSE |
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406 verbose_catf("[KO] Elemental composition is an empty string.\n") |
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407 } else { |
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408 verbose_catf( |
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409 "[OK] Elemental composition=%s.\n", |
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410 processing_parameters$elemcomposition |
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411 ) |
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412 } |
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413 |
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414 cp_res_length <- length(vmz) |
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415 ppm <- rep(NA, cp_res_length) |
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416 formulas <- rep(NA, cp_res_length) |
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417 if (do_sirius) { |
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418 verbose_catf("Everything is ok, preparing for sirius.\n") |
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419 formulas <- get_formulas( |
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420 mzref = processing_parameters$mzref, |
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421 spectra = data.frame(mz = meaned_mz, intensities = sum_int[-1]), |
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422 processing_parameters = processing_parameters |
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423 ) |
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424 if (nrow(formulas) == 0) { |
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425 catf("No formula found.\n") |
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426 } else { |
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427 ppm <- formulas$ppm |
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428 formulas <- formulas$formula |
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429 catf( |
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430 "Found %s formula for %s fragments\n", |
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431 length(formulas[which(!(is.na(formulas)))]), |
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432 cp_res_length |
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433 ) |
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434 } |
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435 } else { |
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436 verbose_catf("Sirius cannot be run.\n") |
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437 } |
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438 cp_res <- data.frame( |
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439 rep(processing_parameters$c_name, cp_res_length), |
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440 rep(processing_parameters$inchikey, cp_res_length), |
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441 rep(processing_parameters$elemcomposition, cp_res_length), |
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442 formulas, |
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443 meaned_mz, |
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444 ppm, |
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445 rep(fid, cp_res_length), |
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446 cor_abs_int, |
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447 sum_int[-1], |
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448 rel_int, |
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449 cor_valid |
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450 ) |
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451 |
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452 colnames(cp_res) <- c( |
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453 "compoundName", |
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454 "inchikey", |
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455 "elemcomposition", |
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456 "fragment", |
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457 "fragment_mz", |
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458 "ppm", |
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459 "fileid", |
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460 "CorWithPrecursor", |
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461 "AbsoluteIntensity", |
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462 "relativeIntensity", |
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463 "corValid" |
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464 ) |
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465 return(cp_res) |
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466 } |
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467 |
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468 #' |
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469 #' @title extract_fragments |
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470 #' |
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471 #' @param precursors the precursor list from mspurity |
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472 #' @param fragments the fragments list from ms purity |
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473 # ' @param mzref |
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474 # ' @param rtref |
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475 # ' @param c_name |
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476 # ' @param inchikey |
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477 # ' @param elemcomposition |
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478 #' @param processing_parameters |
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479 #' @returns |
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480 #' |
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481 #' @description |
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482 #' function for extraction of fragments corresponding to precursors |
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483 #' detected by MSPurity |
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484 extract_fragments <- function( ## nolint cyclocomp_linter |
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485 precursors, |
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486 fragments, |
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487 processing_parameters |
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488 ) { |
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489 ## filter precursor in the precursors file based on mz and rt in the |
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490 ## compound list |
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491 catf("processing %s\n", processing_parameters$c_name) |
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492 verbose_catf("===\n") |
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493 param <- processing_parameters |
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494 selected_precursors <- which( |
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495 (abs(precursors$precurMtchMZ - param$mzref) <= param$tolmz) |
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496 & (abs(precursors$precurMtchRT - param$rtref) <= param$tolrt) |
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497 ) |
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498 rm(param) |
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499 |
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500 verbose_catf( |
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501 "> %s precursors selected with mz=%s±%s and rt=%s±%s\n", |
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502 length(selected_precursors), |
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503 processing_parameters$mzref, |
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504 processing_parameters$tolmz, |
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505 processing_parameters$rtref, |
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506 processing_parameters$tolrt |
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507 ) |
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508 |
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509 ## check if there is the precursor in the file |
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510 |
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511 if (length(selected_precursors) < 1) { |
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512 cat("> non detected in precursor file\n") |
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513 show_end_processing() |
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514 return(NULL) |
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515 } |
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516 |
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517 precursors <- precursors[selected_precursors, ] |
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518 |
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519 ## check if fragments corresponding to precursor are found in several |
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520 ## files (collision energy) |
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521 ## this lead to a processing for each fileid |
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522 file_ids <- as.character(sort(unique(precursors$fileid))) |
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523 if (length(file_ids) > 1) { |
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524 catf("> several files detected for this compounds :\n") |
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525 } else if (length(file_ids) < 1 || nrow(precursors) < 1) { |
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526 return(data.frame()) |
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527 } |
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528 |
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529 res_comp <- data.frame() |
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530 for (curent_file_id in file_ids) { |
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531 curent_precursors <- precursors[precursors$fileid == curent_file_id, ] |
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532 selected_fragments <- fragments[ |
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533 fragments$grpid %in% as.character(curent_precursors$grpid) |
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534 & fragments$fileid == curent_file_id, |
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535 ] |
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536 filtered_fragments <- selected_fragments[ |
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537 selected_fragments$ra > processing_parameters$seuil_ra, |
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538 ] |
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539 if (nrow(filtered_fragments) != 0) { |
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540 res_comp_by_file <- process_file( |
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541 curent_file_id = curent_file_id, |
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542 precursor_mz = curent_precursors$mz, |
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543 filtered_fragments = filtered_fragments, |
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544 processing_parameters = processing_parameters |
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545 ) |
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546 if (!is.null(res_comp_by_file)) { |
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547 res_comp <- rbind(res_comp, res_comp_by_file) |
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548 } |
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549 } else { |
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550 catf("No fragment found for in fragment file\n") |
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551 } |
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552 } |
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553 return(unique(res_comp)) |
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554 } |
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555 |
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556 process_file <- function( |
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557 curent_file_id, |
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558 precursor_mz, |
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559 filtered_fragments, |
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560 processing_parameters |
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561 ) { |
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562 mznominal <- round(x = filtered_fragments$mz, digits = 0) |
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563 meaned_mz <- round( |
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564 aggregate( |
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565 data.frame( |
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566 mz = filtered_fragments$mz, |
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567 mznominal = mznominal |
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568 ), |
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569 list(mznominal), |
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570 FUN = mean |
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571 )$mz, |
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572 digits = processing_parameters$mzdecimal |
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573 ) |
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574 filtered_fragments <- data.frame(filtered_fragments, mznominal) |
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575 |
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576 ## creation of cross table row=scan col=mz X=ra |
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577 |
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578 vmz <- as.character(sort(unique(filtered_fragments$mznominal))) |
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579 |
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580 ds_abs_int <- create_ds_abs_int(vmz, filtered_fragments) |
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581 |
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582 if (global_debug) { |
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583 print(ds_abs_int) |
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584 } |
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585 |
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586 ## elimination of mz with less than min_number_scan scans (user defined |
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587 ## parameter) |
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588 xmz <- rep(NA, ncol(ds_abs_int) - 1) |
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589 sum_int <- rep(NA, ncol(ds_abs_int)) |
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590 nbxmz <- 0 |
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591 nb_scan_check <- min(nrow(ds_abs_int), processing_parameters$min_number_scan) |
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592 |
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593 for (j in 2:ncol(ds_abs_int)) { |
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594 sum_int[j] <- sum(ds_abs_int[j], na.rm = TRUE) |
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595 if (sum(!is.na(ds_abs_int[[j]])) < nb_scan_check) { |
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596 nbxmz <- nbxmz + 1 |
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597 xmz[nbxmz] <- j |
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598 } |
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599 } |
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600 |
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601 xmz <- xmz[-which(is.na(xmz))] |
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602 if (length(xmz) > 0) { |
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603 ds_abs_int <- ds_abs_int[, -c(xmz)] |
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604 sum_int <- sum_int[-c(xmz)] |
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605 ## liste des mz keeped decale de 1 avec ds_abs_int |
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606 vmz <- as.numeric(vmz[-c(xmz - 1)]) |
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607 meaned_mz <- meaned_mz[-c(xmz - 1)] |
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608 } |
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609 |
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610 ## mz of precursor in data precursor to check correlation with |
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611 mz_prec <- paste0( |
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612 "mz", |
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613 round(mean(precursor_mz), processing_parameters$mzdecimal) |
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614 ) |
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615 ## reference ion for correlation computing = precursor OR maximum |
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616 ## intensity ion in precursor is not present |
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617 refcol <- which(colnames(ds_abs_int) == mz_prec) |
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618 if (length(refcol) == 0) { |
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619 refcol <- which(sum_int == max(sum_int, na.rm = TRUE)) |
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620 } |
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621 |
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622 if (processing_parameters$do_pdf) { |
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623 start_pdf(processing_parameters, curent_file_id) |
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624 } |
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625 |
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626 ## Pearson correlations between absolute intensities computing |
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627 cor_abs_int <- rep(NA, length(vmz)) |
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628 |
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629 if (length(refcol) > 0) { |
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630 for (i in 2:length(ds_abs_int)) { |
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631 cor_abs_int[i - 1] <- stats::cor( |
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632 x = ds_abs_int[[refcol]], |
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633 y = ds_abs_int[[i]], |
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634 use = "pairwise.complete.obs", |
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635 method = "pearson" |
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636 ) |
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637 debug_catf( |
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638 "Correlation between %s and %s: %s\n", |
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639 paste(ds_abs_int[[refcol]], collapse = ";"), |
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640 paste(ds_abs_int[[i]], collapse = ";"), |
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641 paste(cor_abs_int[i - 1], collapse = ";") |
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642 ) |
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643 if (processing_parameters$do_pdf) { |
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644 pdf_plot_ds_abs_int( |
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645 processing_parameters$c_name, |
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646 ds_abs_int, |
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647 refcol, |
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648 i, |
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649 round(cor_abs_int[i - 1], 2) |
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650 ) |
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651 } |
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652 } |
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653 ## plot pseudo spectra |
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654 res_comp_by_file <- plot_pseudo_spectra( |
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655 x = ds_abs_int, |
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656 fid = curent_file_id, |
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657 sum_int = sum_int, |
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658 vmz = vmz, |
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659 cor_abs_int = cor_abs_int, |
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660 refcol = refcol, |
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661 meaned_mz = meaned_mz, |
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662 processing_parameters = processing_parameters |
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663 ) |
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664 catf( |
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665 "%s has been processed and %s fragments have been found.\n", |
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666 processing_parameters$c_name, |
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667 nrow(res_comp_by_file) |
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668 ) |
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669 } else { |
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670 res_comp_by_file <- NULL |
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671 cat(">> non detected in fragments file \n") |
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672 } |
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673 show_end_processing() |
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674 if (processing_parameters$do_pdf) { |
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675 end_pdf() |
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676 } |
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677 return(res_comp_by_file) |
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678 } |
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679 |
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680 create_ds_abs_int <- function(vmz, filtered_fragments) { |
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681 verbose_catf( |
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682 ">> fragments: %s\n", |
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683 paste(vmz, collapse = " ") |
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684 ) |
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685 ds_abs_int <- create_int_mz(vmz[1], filtered_fragments) |
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686 for (mz in vmz[-1]) { |
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687 int_mz <- create_int_mz(mz, filtered_fragments) |
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688 ds_abs_int <- merge( |
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689 x = ds_abs_int, |
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690 y = int_mz, |
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691 by.x = 1, |
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692 by.y = 1, |
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693 all.x = TRUE, |
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694 all.y = TRUE |
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695 ) |
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696 } |
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697 return(ds_abs_int) |
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698 } |
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699 |
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700 create_int_mz <- function(mz, filtered_fragments) { |
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701 ## absolute intensity |
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702 int_mz <- filtered_fragments[ |
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703 filtered_fragments$mznominal == mz, |
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704 c("acquisitionNum", "i") |
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705 ] |
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706 colnames(int_mz)[2] <- paste0("mz", mz) |
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707 ## average intensities of mass in duplicate scans |
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708 comp_scans <- aggregate(x = int_mz, by = list(int_mz[[1]]), FUN = mean) |
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709 return(comp_scans[, -1]) |
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710 } |
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711 |
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712 show_end_processing <- function() { |
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713 verbose_catf("==========\n") |
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714 cat("\n") |
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715 } |
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716 |
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717 start_pdf <- function(processing_parameters, curent_file_id) { |
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718 if (!dir.exists(processing_parameters$pdf_path)) { |
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719 dir.create(processing_parameters$pdf_path, recursive = TRUE) |
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720 } |
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721 pdf( |
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722 file = sprintf( |
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723 "%s/%s_processing_file%s.pdf", |
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724 processing_parameters$pdf_path, |
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725 processing_parameters$c_name, |
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726 curent_file_id |
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727 ), |
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728 width = 8, |
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729 height = 11 |
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730 ) |
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731 par(mfrow = c(3, 2)) |
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732 } |
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733 |
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734 pdf_plot_ds_abs_int <- function(c_name, ds_abs_int, refcol, i, r_coef) { |
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735 plot( |
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736 ds_abs_int[[refcol]], |
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737 ds_abs_int[[i]], |
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738 xlab = colnames(ds_abs_int)[refcol], |
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739 ylab = colnames(ds_abs_int)[i], |
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740 main = sprintf( |
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741 "%s corr coeff r=%s", c_name, r_coef |
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742 ) |
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743 ) |
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744 } |
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745 end_pdf <- function() { |
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746 dev.off() |
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747 } |
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748 |
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749 set_global <- function(var, value) { |
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750 assign(var, value, envir = globalenv()) |
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751 } |
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752 |
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753 set_debug <- function() { |
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754 set_global("global_debug", TRUE) |
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755 } |
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756 |
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|
757 unset_debug <- function() { |
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758 set_global("global_debug", FALSE) |
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759 } |
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760 |
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761 set_verbose <- function() { |
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762 set_global("global_verbose", TRUE) |
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763 } |
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764 |
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765 unset_verbose <- function() { |
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766 set_global("global_verbose", FALSE) |
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767 } |
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768 |
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769 verbose_catf <- function(...) { |
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770 if (global_verbose) { |
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771 cat(sprintf(...), sep = "") |
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772 } |
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773 } |
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774 |
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775 |
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776 debug_catf <- function(...) { |
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777 if (global_debug) { |
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778 cat(sprintf(...), sep = "") |
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779 } |
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780 } |
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781 |
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782 catf <- function(...) { |
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783 cat(sprintf(...), sep = "") |
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784 } |
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785 |
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786 create_parser <- function() { |
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787 parser <- optparse::OptionParser() |
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788 parser <- optparse::add_option( |
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789 parser, |
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790 c("-v", "--verbose"), |
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791 action = "store_true", |
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792 default = FALSE, |
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793 help = paste( |
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794 "[default %default]", |
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795 "Print extra output" |
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796 ) |
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797 ) |
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798 parser <- optparse::add_option( |
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799 parser, |
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800 c("-V", "--version"), |
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801 action = "store_true", |
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802 default = FALSE, |
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803 help = "Prints version and exits" |
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804 ) |
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805 parser <- optparse::add_option( |
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806 parser, |
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807 c("-d", "--debug"), |
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808 action = "store_true", |
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809 default = FALSE, |
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810 help = paste( |
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811 "[default %default]", |
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812 "Print debug outputs" |
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813 ) |
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814 ) |
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815 parser <- optparse::add_option( |
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816 parser, |
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817 c("-o", "--output"), |
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818 type = "character", |
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819 default = DEFAULT_OUTPUT_PATH, |
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820 action = "store", |
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821 help = "Path to the output file [default %default]" |
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822 ) |
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823 parser <- optparse::add_option( |
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824 parser, |
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825 c("-p", "--precursors"), |
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826 type = "character", |
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827 default = DEFAULT_PRECURSOR_PATH, |
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828 action = "store", |
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829 help = "Path to the precursors file [default %default]" |
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830 ) |
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831 parser <- optparse::add_option( |
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832 parser, |
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833 c("-f", "--fragments"), |
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834 type = "character", |
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835 default = DEFAULT_FRAGMENTS_PATH, |
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836 action = "store", |
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837 help = "Path to the fragments file [default %default]" |
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838 ) |
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839 parser <- optparse::add_option( |
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840 parser, |
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841 c("-c", "--compounds"), |
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842 type = "character", |
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843 default = DEFAULT_COMPOUNDS_PATH, |
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844 action = "store", |
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845 help = "Path to the compounds file [default %default]" |
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846 ) |
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847 parser <- optparse::add_option( |
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848 parser, |
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849 c("--tolmz"), |
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850 type = "numeric", |
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851 action = "store", |
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852 default = DEFAULT_TOLMZ, |
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853 metavar = "number", |
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854 help = paste( |
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855 "[default %default]", |
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856 "Tolerance for MZ (in Dalton) to match the standard in the compounds" |
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857 ) |
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858 ) |
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859 parser <- optparse::add_option( |
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860 parser, |
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861 c("--tolrt"), |
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862 type = "integer", |
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863 action = "store", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
864 default = DEFAULT_TOLRT, |
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|
865 metavar = "number", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
866 help = paste( |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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changeset
|
867 "[default %default]", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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changeset
|
868 "RT (in seconds) to match the standard in the compounds" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
869 ) |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
870 ) |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
871 parser <- optparse::add_option( |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
872 parser, |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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changeset
|
873 c("--seuil_ra"), |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
874 type = "numeric", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
875 action = "store", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
876 default = DEFAULT_SEUIL_RA, |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
877 metavar = "number", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
878 help = paste( |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
879 "[default %default]", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
880 "relative intensity threshold" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
881 ), |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
882 ) |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
883 parser <- optparse::add_option( |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
884 parser, |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
885 c("--mzdecimal"), |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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changeset
|
886 type = "integer", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
887 default = DEFAULT_MZDECIMAL, |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
888 action = "store", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
889 help = paste( |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
890 "[default %default]", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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891 "Number of decimal to write for MZ" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
892 ), |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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893 metavar = "number" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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894 ) |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
895 parser <- optparse::add_option( |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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896 parser, |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
897 c("--r_threshold"), |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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898 type = "integer", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
899 default = DEFAULT_R_THRESHOLD, |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
900 action = "store", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
901 help = paste( |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
902 "[default %default]", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
903 "R-Pearson correlation threshold between precursor and fragment", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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904 "absolute intensity" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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905 ), |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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906 metavar = "number" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
907 ) |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
908 parser <- optparse::add_option( |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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909 parser, |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
910 c("--min_number_scan"), |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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911 type = "numeric", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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912 action = "store", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
913 default = DEFAULT_MINNUMBERSCAN, |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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914 help = paste( |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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915 "[default %default]", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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916 "Fragments are kept if there are found in a minimum number", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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917 "of min_number_scan scans" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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918 ), |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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919 metavar = "number" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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920 ) |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
921 parser <- optparse::add_option( |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
workflow4metabolomics
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922 parser, |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
923 c("--pdf_path"), |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
924 type = "character", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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925 default = DEFAULT_PDF_PATH, |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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926 help = paste( |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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927 "[default %default]", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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928 "PDF files output path" |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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929 ) |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
930 ) |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
931 parser <- optparse::add_option( |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
932 parser, |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
933 c("--ionization"), |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
934 type = "character", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
935 action = "store", |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
936 default = "None", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
937 help = paste( |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
938 "[default %default]", |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
939 "Which ionization to use for sirius" |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
940 ), |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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941 metavar = "character" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
942 ) |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
943 parser <- optparse::add_option( |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
944 parser, |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
945 c("--fragment_match_delta"), |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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946 type = "numeric", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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947 action = "store", |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
948 default = DEFAULT_FRAGMENTS_MATCH_DELTA, |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
workflow4metabolomics
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|
949 help = paste( |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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950 "[default %default]", |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
951 "Fragment match delta" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
952 ), |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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953 metavar = "numeric" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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954 ) |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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955 parser <- optparse::add_option( |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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956 parser, |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
957 c("--fragment_match_delta_unit"), |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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958 type = "character", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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959 action = "store", |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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960 default = DEFAULT_FRAGMENTS_MATCH_DELTA_UNIT, |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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961 help = paste( |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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962 "[default %default]", |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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963 "Fragment match delta" |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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964 ), |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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965 metavar = "character" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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966 ) |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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967 return(parser) |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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968 } |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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969 |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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970 stop_with_status <- function(msg, status) { |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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971 sink(stderr()) |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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972 message(sprintf("Error: %s", msg)) |
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973 message(sprintf("Error code: %s", status)) |
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974 sink(NULL) |
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975 base::quit(status = status) |
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976 } |
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977 |
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978 check_args_validity <- function(args) { ## nolint cyclocomp_linter |
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979 if (length(args$output) == 0 || nchar(args$output[1]) == 0) { |
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980 stop_with_status( |
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981 "Missing output parameters. Please set it with --output.", |
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982 MISSING_PARAMETER_ERROR |
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983 ) |
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984 } |
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985 if (length(args$precursors) == 0 || nchar(args$precursors[1]) == 0) { |
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986 stop_with_status( |
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987 "Missing precursors parameters. Please set it with --precursors.", |
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988 MISSING_PARAMETER_ERROR |
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989 ) |
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990 } |
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991 if (length(args$fragments) == 0 || nchar(args$fragments[1]) == 0) { |
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992 stop_with_status( |
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993 "Missing fragments parameters. Please set it with --fragments.", |
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994 MISSING_PARAMETER_ERROR |
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995 ) |
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996 } |
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997 if (length(args$compounds) == 0 || nchar(args$compounds[1]) == 0) { |
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998 stop_with_status( |
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999 "Missing compounds parameters. Please set it with --compounds.", |
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1000 MISSING_PARAMETER_ERROR |
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1001 ) |
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1002 } |
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1003 if (!file.exists(args$precursors)) { |
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1004 stop_with_status( |
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1005 sprintf( |
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1006 "Precursors file %s does not exist or cannot be accessed.", |
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1007 args$precursors |
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1008 ), |
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1009 MISSING_INPUT_FILE_ERROR |
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1010 ) |
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1011 } |
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1012 if (!file.exists(args$fragments)) { |
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1013 stop_with_status( |
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1014 sprintf( |
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1015 "Fragments file %s does not exist or cannot be accessed.", |
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1016 args$fragments |
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1017 ), |
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1018 MISSING_INPUT_FILE_ERROR |
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1019 ) |
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1020 } |
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1021 if (!file.exists(args$compounds)) { |
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1022 stop_with_status( |
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1023 sprintf( |
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1024 "Compounds file %s does not exist or cannot be accessed.", |
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1025 args$compounds |
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1026 ), |
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1027 MISSING_INPUT_FILE_ERROR |
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1028 ) |
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1029 } |
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1030 if (in_galaxy_env()) { |
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1031 check_galaxy_args_validity(args) |
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1032 } |
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1033 } |
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1034 |
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1035 in_galaxy_env <- function() { |
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1036 sysvars <- Sys.getenv() |
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1037 sysvarnames <- names(sysvars) |
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1038 return( |
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1039 "_GALAXY_JOB_HOME_DIR" %in% sysvarnames |
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1040 || "_GALAXY_JOB_TMP_DIR" %in% sysvarnames |
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1041 || "GALAXY_MEMORY_MB" %in% sysvarnames |
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1042 || "GALAXY_MEMORY_MB_PER_SLOT" %in% sysvarnames |
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1043 || "GALAXY_SLOTS" %in% sysvarnames |
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1044 ) |
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1045 } |
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1046 |
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1047 check_galaxy_args_validity <- function(args) { |
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1048 if (!file.exists(args$output)) { |
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1049 stop_with_status( |
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1050 sprintf( |
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1051 "Output file %s does not exist or cannot be accessed.", |
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1052 args$output |
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1053 ), |
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1054 MISSING_INPUT_FILE_ERROR |
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1055 ) |
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1056 } |
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1057 } |
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1058 |
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1059 get_csv_or_tsv <- function( |
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1060 path, |
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1061 sep_stack = c("\t", ",", ";"), |
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1062 sep_names = c("tab", "comma", "semicolon"), |
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1063 header = TRUE, |
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1064 quote = "\"" |
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1065 ) { |
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1066 sep <- determine_csv_or_tsv_sep( |
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1067 path = path, |
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1068 sep_stack = sep_stack, |
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1069 header = header, |
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1070 quote = quote |
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1071 ) |
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1072 verbose_catf( |
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1073 "%s separator has been determined for %s.\n", |
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1074 sep_names[sep_stack == sep], |
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1075 path |
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1076 ) |
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1077 return(read.table( |
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1078 file = path, |
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1079 sep = sep, |
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1080 header = header, |
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1081 quote = quote |
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1082 )) |
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1083 } |
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1084 |
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1085 determine_csv_or_tsv_sep <- function( |
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1086 path, |
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1087 sep_stack = c("\t", ",", ";"), |
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1088 header = TRUE, |
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1089 quote = "\"" |
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1090 ) { |
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1091 count <- -1 |
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1092 best_sep <- sep_stack[1] |
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1093 for (sep in sep_stack) { |
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1094 tryCatch({ |
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1095 table <- read.table( |
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1096 file = path, |
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1097 sep = sep, |
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1098 header = header, |
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1099 quote = quote, |
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1100 nrows = 1 |
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1101 ) |
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1102 if (ncol(table) > count) { |
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1103 count <- ncol(table) |
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1104 best_sep <- sep |
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1105 } |
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1106 }) |
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1107 } |
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1108 return(best_sep) |
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1109 } |
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1110 |
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1111 uniformize_columns <- function(df) { |
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1112 cols <- colnames(df) |
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1113 for (func in c(tolower)) { |
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1114 cols <- func(cols) |
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1115 } |
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1116 colnames(df) <- cols |
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1117 return(df) |
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1118 } |
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1119 |
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1120 handle_galaxy_param <- function(args) { |
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1121 for (param in names(args)) { |
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1122 if (is.character(args[[param]])) { |
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1123 args[[param]] <- gsub("__ob__", "[", args[[param]]) |
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1124 args[[param]] <- gsub("__cb__", "]", args[[param]]) |
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1125 } |
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1126 } |
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1127 return(args) |
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1128 } |
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1129 |
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1130 zip_pdfs <- function(processing_parameters) { |
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1131 if (processing_parameters$do_pdf) { |
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1132 if ((zip <- Sys.getenv("R_ZIPCMD", "zip")) == "") { |
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1133 catf("R could not fin the zip executable. Trying luck: zip = \"zip\"") |
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1134 zip <- "zip" |
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1135 } else { |
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1136 catf("Found zip executable at %s .", zip) |
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1137 } |
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1138 utils::zip( |
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1139 processing_parameters$pdf_zip_path, |
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1140 processing_parameters$pdf_path, |
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1141 zip = zip |
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1142 ) |
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1143 } |
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1144 } |
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1145 |
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1146 main <- function(args) { |
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1147 if (args$version) { |
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1148 catf("%s\n", MS2SNOOP_VERSION) |
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1149 base::quit(status = 0) |
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1150 } |
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1151 if (in_galaxy_env()) { |
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1152 print(sessionInfo()) |
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1153 cat("\n\n") |
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1154 } |
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1155 check_args_validity(args) |
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1156 args <- handle_galaxy_param(args) |
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1157 if (args$ionization == "None") { |
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1158 args$ionization <- NULL |
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1159 } |
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1160 if (args$debug) { |
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1161 set_debug() |
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1162 } |
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1163 if (args$verbose) { |
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1164 set_verbose() |
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1165 } |
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1166 precursors <- get_csv_or_tsv(args$precursors) |
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1167 fragments <- get_csv_or_tsv(args$fragments) |
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1168 compounds <- get_csv_or_tsv(args$compounds) |
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1169 |
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1170 compounds <- uniformize_columns(compounds) |
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1171 mandatory_columns <- c( |
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1172 "compound_name", |
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1173 "mz", |
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1174 "rtsec", |
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1175 "inchikey" |
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1176 ) |
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1177 presents <- mandatory_columns %in% colnames(compounds) |
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1178 if (!all(presents)) { |
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1179 stop_with_status( |
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1180 sprintf( |
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1181 "Some columns are missing: %s", |
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1182 paste(mandatory_columns[which(!presents)], collapse = ", ") |
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1183 ), |
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1184 BAD_PARAMETER_VALUE_ERROR |
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1185 ) |
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1186 } |
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1187 |
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1188 res_all <- data.frame() |
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1189 processing_parameters <- list( |
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1190 min_number_scan = args$min_number_scan, |
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1191 mzdecimal = args$mzdecimal, |
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1192 r_threshold = args$r_threshold, |
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1193 seuil_ra = args$seuil_ra, |
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1194 tolmz = args$tolmz, |
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1195 tolrt = args$tolrt, |
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1196 ionization = args$ionization, |
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1197 do_pdf = nchar(args$pdf_path) > 0, |
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1198 pdf_zip_path = args$pdf_path, |
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1199 pdf_path = tempdir(), |
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1200 fragment_match_delta = args$fragment_match_delta, |
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1201 fragment_match_delta_unit = args$fragment_match_delta_unit |
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1202 ) |
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1203 for (i in seq_len(nrow(compounds))) { |
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1204 processing_parameters$mzref <- compounds[["mz"]][i] |
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1205 processing_parameters$rtref <- compounds[["rtsec"]][i] |
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1206 processing_parameters$c_name <- compounds[["compound_name"]][i] |
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1207 processing_parameters$inchikey <- compounds[["inchikey"]][i] |
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1208 processing_parameters$elemcomposition <- compounds[["elemcomposition"]][i] |
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1209 res_cor <- extract_fragments( |
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1210 precursors = precursors, |
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1211 fragments = fragments, |
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1212 processing_parameters = processing_parameters |
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1213 ) |
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1214 if (!is.null(res_cor)) { |
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1215 res_all <- rbind(res_all, res_cor) |
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1216 } |
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1217 } |
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1218 |
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1219 if (nrow(res_all) == 0) { |
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1220 stop_with_status("No result at all!", NO_ANY_RESULT_ERROR) |
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1221 } |
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1222 |
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1223 write.table( |
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1224 x = res_all, |
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1225 file = args$output, |
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1226 sep = "\t", |
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1227 row.names = FALSE |
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1228 ) |
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1229 zip_pdfs(processing_parameters) |
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1230 unlink(processing_parameters$pdf_path, recursive = TRUE) |
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1231 } |
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1232 |
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1233 global_debug <- FALSE |
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1234 global_verbose <- FALSE |
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1235 args <- optparse::parse_args(create_parser()) |
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1236 main(args) |
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1237 |
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1238 warnings() |