Mercurial > repos > workflow4metabolomics > ms2snoop
annotate MS2snoop.R @ 6:77abacd33c31 draft
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
author | workflow4metabolomics |
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date | Fri, 30 Sep 2022 16:18:56 +0000 |
parents | 78d5a12406c2 |
children | 2a1f120a6874 |
rev | line source |
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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 ) { |
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59 if (is.vector(mzref) && length(mzref) > 1) { |
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60 return(lapply( |
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61 mzref, |
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62 function(mz) { |
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63 return(get_formulas( |
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64 mzref = mz, |
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65 spectra = spectra, |
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66 processing_parameters = processing_parameters, |
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67 background = background |
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68 )) |
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69 } |
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70 )) |
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71 } |
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72 input <- sprintf( |
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73 "%s-%s.ms", |
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74 gsub("[[:space:]]", "_", processing_parameters$c_name), |
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75 mzref |
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76 ) |
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77 create_ms_file(input, mzref, spectra, processing_parameters) |
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78 output <- sprintf( |
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79 "out/%s-%s.out", |
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80 gsub("[[:space:]]", "_", processing_parameters$c_name), |
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81 mzref |
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82 ) |
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83 command <- sprintf( |
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84 paste( |
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85 "sirius", |
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86 "--noCite", |
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87 "--noSummaries", |
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88 "--loglevel=WARNING", |
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89 "-i='%s'", |
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90 "-o='%s'", |
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91 "tree", |
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92 ## loglevel is not working taken into account during |
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93 ## sirius startup, so we filter outputs... |
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94 "2>&1 | grep '^(WARNING|SEVERE)'" |
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95 ), |
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96 input, |
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97 output |
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98 ) |
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99 verbose_catf( |
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100 ">> Sirius is running %swith the command: %s\n", |
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101 if (background) "in the background " else "", |
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102 command |
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103 ) |
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104 system( |
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105 command, |
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106 wait = !background, |
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107 ignore.stdout = background, |
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108 ignore.stderr = background |
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109 ) |
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110 return(extract_sirius_results(output, spectra$mz, processing_parameters)) |
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111 } |
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112 |
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113 create_ms_file <- function( |
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114 path, |
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115 mzref, |
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116 spectra, |
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117 processing_parameters |
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118 ) { |
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119 file_content <- paste( |
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120 sprintf(">compound %s", processing_parameters$c_name), |
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121 sprintf(">ionization %s", processing_parameters$ionization), |
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122 sprintf(">parentmass %s", mzref), |
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123 sprintf(">formula %s", processing_parameters$elemcomposition), |
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124 sep = "\n" |
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125 ) |
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126 displayed_file_content <- sprintf( |
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127 "%s\n>collision\n%s", |
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128 file_content, |
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129 paste( |
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130 sprintf( |
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131 "%s %s", |
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132 spectra[1:3, "mz"], |
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133 spectra[1:3, "intensities"] |
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134 ), |
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135 collapse = "\n" |
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136 ) |
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137 ) |
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138 if (nrow(spectra) > 3) { |
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139 displayed_file_content <- sprintf( |
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140 "%s\n[... %s more rows of mz and intensities ...]", |
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141 displayed_file_content, |
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142 nrow(spectra) - 3 |
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143 ) |
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144 } |
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145 catf( |
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146 ">> MS file created for %s with content:\n%s\n", |
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147 processing_parameters$c_name, |
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148 displayed_file_content |
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149 ) |
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150 file_content <- sprintf( |
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151 "%s\n\n>collision\n%s", |
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152 file_content, |
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153 paste( |
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154 paste(spectra$mz, spectra$intensities), |
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155 collapse = "\n" |
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156 ) |
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157 ) |
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158 cat(file_content, file = path, append = FALSE) |
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159 } |
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160 |
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161 extract_sirius_results <- function( |
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162 output, |
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163 mz_list, |
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164 processing_parameters |
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165 ) { |
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166 |
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167 delta <- processing_parameters$fragment_match_delta |
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168 delta_unit <- tolower(processing_parameters$fragment_match_delta_unit) |
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169 |
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170 output <- list.dirs(output, recursive = FALSE)[[1]] |
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171 |
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172 spectra_out_dir <- sprintf("%s/spectra", output) |
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173 spectra_filename <- sprintf( |
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174 "%s/%s", |
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175 spectra_out_dir, |
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176 list.files(spectra_out_dir)[[1]] |
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177 ) |
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178 |
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179 trees_out_dir <- sprintf("%s/trees", output) |
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180 trees_filename <- sprintf( |
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181 "%s/%s", |
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182 trees_out_dir, |
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183 list.files(trees_out_dir)[[1]] |
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184 ) |
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185 |
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186 if (!is.null(spectra_filename)) { |
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187 sirius_results <- get_csv_or_tsv(spectra_filename) |
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188 } else { |
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189 return(rep(NA, length(mz_list))) |
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190 } |
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191 if (!is.null(trees_filename)) { |
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192 sirius_results <- cbind(sirius_results, extract_sirius_ppm(trees_filename)) |
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193 } else { |
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194 return(rep(NA, length(mz_list))) |
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195 } |
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196 |
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197 fragment_matchings <- data.frame( |
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198 formula = NA, |
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199 ppm = NA, |
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200 mz = mz_list, |
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201 error = NA |
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202 ) |
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203 |
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204 sirius_results <- filter_sirius_with_delta( |
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205 sirius_results = sirius_results, |
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206 original_mz = fragment_matchings$mz, |
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207 delta = delta, |
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208 delta_unit = delta_unit |
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209 ) |
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210 |
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211 for (index in seq_len(nrow(sirius_results))) { |
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212 result <- sirius_results[index, ] |
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213 filter <- which(order(abs(fragment_matchings$mz - result$mz)) == 1) |
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214 fragment_matchings[filter, "formula"] <- result$formula |
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215 fragment_matchings[filter, "ppm"] <- result$ppm |
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216 catf( |
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217 "[OK] Fragment with m/z=%s matches %s with a difference of %s ppm\n", |
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218 fragment_matchings[filter, "mz"], result$formula, result$ppm |
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219 ) |
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220 } |
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221 return(fragment_matchings) |
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222 } |
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223 |
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224 filter_sirius_with_delta <- function( |
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225 sirius_results, |
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226 original_mz, |
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227 delta, |
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228 delta_unit |
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229 ) { |
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230 if (is.numeric(delta) && !is.na(delta) && delta > 0) { |
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231 if (delta_unit == "ppm") { |
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232 filter <- abs(sirius_results$ppm) <= delta |
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233 fine <- which(filter) |
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234 not_fine <- which(!filter) |
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235 catf( |
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236 paste( |
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237 "[KO] fragment %s (m/z=%s) eleminated because ppm=%s is greater", |
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238 "than delta=%s\n" |
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239 ), |
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240 sirius_results[not_fine, ]$formula, |
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241 sirius_results[not_fine, ]$mz, |
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242 sirius_results[not_fine, ]$ppm, |
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243 delta |
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244 ) |
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245 sirius_results <- sirius_results[fine, ] |
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246 } else if (delta_unit == "mz") { |
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247 differences <- sapply( |
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248 sirius_results$mz, |
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249 function(mz) min(abs(original_mz - mz)) |
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250 ) |
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251 fine <- which(sapply( |
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252 sirius_results$mz, |
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253 function(mz) any(abs(original_mz - mz) <= delta) |
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254 )) |
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255 not_fine <- which(sapply( |
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256 sirius_results$mz, |
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257 function(mz) all(abs(original_mz - mz) > delta) |
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258 )) |
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259 catf( |
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260 paste( |
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261 "[KO] fragment %s eleminated because mz difference=%s is", |
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262 "greater than delta=%s\n" |
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263 ), |
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264 sirius_results[not_fine, ]$formula, |
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265 differences[not_fine], |
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266 delta |
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267 ) |
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268 sirius_results <- sirius_results[fine, ] |
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269 } |
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270 } |
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271 return(sirius_results) |
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272 } |
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273 |
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274 extract_sirius_ppm <- function(path) { |
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275 json <- file(path, "r") |
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276 suppressWarnings(json_lines <- readLines(json)) |
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277 close(json) |
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278 json_lines <- json_lines[ |
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279 grepl("\\s+\"(massDeviation|recalibratedMass)\" :", json_lines) |
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280 ] |
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281 json_lines <- gsub("^\\s+\"[^\"]+\" : \"?", "", json_lines) |
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282 ppms <- json_lines[seq(1, length(json_lines), 2)] |
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283 mz <- json_lines[seq(2, length(json_lines), 2)] |
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284 ppms <- as.numeric(gsub(" ppm .*", "", ppms)) |
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285 mz <- as.numeric(gsub(",$", "", mz)) |
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286 ordered <- order(mz) |
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287 return(list(ppm = ppms[ordered], recalibrated_mz = mz[ordered])) |
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288 } |
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289 |
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290 #' @title plot_pseudo_spectra |
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291 #' @param x |
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292 #' @param fid |
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293 #' @param sum_int |
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294 #' @param vmz |
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295 #' @param cor_abs_int |
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296 #' @param refcol |
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297 #' @param c_name |
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298 #' @description plot_pseudo_spectra |
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299 #' function to compute sum of intensities among scans for all |
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300 #' m/z kept (cor > r_threshold & minimum number of scans) |
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301 #' and plot pseudo spectra |
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302 #' x dataframe scan X fragments with scans number in the 1st column and |
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303 #' ions in next with intensities |
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304 #' fid file id when several a precursor has been detected in several files |
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305 plot_pseudo_spectra <- function( |
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306 x, |
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307 fid, |
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308 sum_int, |
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309 vmz, |
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310 cor_abs_int, |
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311 refcol, |
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312 meaned_mz, |
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313 processing_parameters |
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314 ) { |
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315 ## du fait de la difference de nombre de colonne entre la dataframe qui |
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316 ## inclue les scans en 1ere col, mzRef se decale de 1 |
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317 refcol <- refcol - 1 |
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318 ## compute relative intensities max=100% |
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319 rel_int <- sum_int[-1] |
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320 rel_int <- rel_int / max(rel_int) |
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321 |
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322 if (processing_parameters$do_pdf) { |
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323 ## define max value on vertical axis (need to increase in order to plot the |
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324 ## label of fragments) |
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325 ymax <- max(rel_int) + 0.2 * max(rel_int) |
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326 |
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327 par(mfrow = c(2, 1)) |
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328 plot(vmz, rel_int, type = "h", ylim = c(0, ymax), |
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329 main = processing_parameters$c_name |
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330 ) |
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331 ## low correl coef. will be display in grey |
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332 cor_low <- which(round(cor_abs_int, 2) < processing_parameters$r_threshold) |
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333 |
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334 lbmzcor <- sprintf("%s(r=%s)", vmz, round(cor_abs_int, 2)) |
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335 |
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336 if (length(cor_low) > 0) { |
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337 text( |
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338 vmz[cor_low], |
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339 rel_int[cor_low], |
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340 lbmzcor[cor_low], |
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341 cex = 0.5, |
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342 col = "grey", |
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343 srt = 90, |
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344 adj = 0 |
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345 ) |
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346 if (length(vmz) - length(cor_low) > 1) { |
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347 text( |
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348 vmz[-c(refcol, cor_low)], |
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349 rel_int[-c(refcol, cor_low)], |
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350 lbmzcor[-c(refcol, cor_low)], |
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351 cex = 0.6, |
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352 col = 1, |
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353 srt = 90, |
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354 adj = 0 |
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355 ) |
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356 } |
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357 } else { |
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358 if (length(vmz) > 1) { |
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359 text( |
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360 vmz[-c(refcol)], |
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361 rel_int[-c(refcol)], |
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362 lbmzcor[-c(refcol)], |
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363 cex = 0.6, |
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364 col = 1, |
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365 srt = 90, |
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366 adj = 0 |
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367 ) |
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368 } |
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369 } |
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370 |
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371 text( |
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372 vmz[refcol], |
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373 rel_int[refcol], |
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374 lbmzcor[refcol], |
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375 cex = 0.8, |
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376 col = 2, |
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377 srt = 90, |
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378 adj = 0 |
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379 ) |
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380 } |
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381 |
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382 ## prepare result file |
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383 cor_valid <- (round(cor_abs_int, 2) >= processing_parameters$r_threshold) |
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384 |
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385 do_sirius <- TRUE |
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386 verbose_catf("Checking sirius parameters...\n") |
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387 if (is.null(processing_parameters$ionization)) { |
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388 do_sirius <- FALSE |
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389 verbose_catf("[KO] No ionization passed in parameter.\n") |
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390 } else { |
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391 verbose_catf("[OK] Ionization=%s.\n", processing_parameters$ionization) |
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392 } |
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393 if (is.na(processing_parameters$elemcomposition)) { |
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394 do_sirius <- FALSE |
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395 verbose_catf("[KO] Elemental composition is NA.\n") |
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396 } else if (length(processing_parameters$elemcomposition) < 1) { |
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397 do_sirius <- FALSE |
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398 verbose_catf("[KO] No elemental composition is provided.\n") |
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399 } else if (processing_parameters$elemcomposition == "") { |
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400 do_sirius <- FALSE |
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401 verbose_catf("[KO] Elemental composition is an empty string.\n") |
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402 } else { |
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403 verbose_catf( |
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404 "[OK] Elemental composition=%s.\n", |
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405 processing_parameters$elemcomposition |
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406 ) |
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407 } |
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408 |
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409 cp_res_length <- length(vmz) |
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410 ppm <- rep(NA, cp_res_length) |
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411 formulas <- rep(NA, cp_res_length) |
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412 if (do_sirius) { |
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413 verbose_catf("Everything is ok, preparing for sirius.\n") |
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414 formulas <- get_formulas( |
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415 mzref = processing_parameters$mzref, |
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416 spectra = data.frame(mz = meaned_mz, intensities = sum_int[-1]), |
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417 processing_parameters = processing_parameters |
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418 ) |
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419 if (nrow(formulas) == 0) { |
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420 catf("No formula found.\n") |
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421 } else { |
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422 ppm <- formulas$ppm |
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423 formulas <- formulas$formula |
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424 catf( |
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425 "Found %s formula for %s fragments\n", |
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426 length(formulas[which(!(is.na(formulas)))]), |
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427 cp_res_length |
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428 ) |
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429 } |
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430 } else { |
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431 verbose_catf("Sirius cannot be run.\n") |
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432 } |
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433 cp_res <- data.frame( |
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434 rep(processing_parameters$c_name, cp_res_length), |
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435 rep(processing_parameters$inchikey, cp_res_length), |
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436 rep(processing_parameters$elemcomposition, cp_res_length), |
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437 formulas, |
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438 meaned_mz, |
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439 ppm, |
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440 rep(fid, cp_res_length), |
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441 cor_abs_int, |
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442 sum_int[-1], |
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443 rel_int, |
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444 cor_valid |
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445 ) |
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446 |
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447 colnames(cp_res) <- c( |
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448 "compoundName", |
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449 "inchikey", |
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450 "elemcomposition", |
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451 "fragment", |
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452 "fragment_mz", |
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453 "ppm", |
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454 "fileid", |
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455 "CorWithPrecursor", |
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456 "AbsoluteIntensity", |
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457 "relativeIntensity", |
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458 "corValid" |
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459 ) |
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460 return(cp_res) |
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461 } |
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462 |
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463 #' |
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464 #' @title extract_fragments |
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465 #' |
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466 #' @param precursors the precursor list from mspurity |
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467 #' @param fragments the fragments list from ms purity |
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468 # ' @param mzref |
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469 # ' @param rtref |
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470 # ' @param c_name |
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471 # ' @param inchikey |
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472 # ' @param elemcomposition |
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473 #' @param processing_parameters |
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474 #' @returns |
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475 #' |
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476 #' @description |
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477 #' function for extraction of fragments corresponding to precursors |
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478 #' detected by MSPurity |
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479 extract_fragments <- function( ## nolint cyclocomp_linter |
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480 precursors, |
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481 fragments, |
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482 processing_parameters |
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483 ) { |
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484 ## filter precursor in the precursors file based on mz and rt in the |
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485 ## compound list |
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486 catf("processing %s\n", processing_parameters$c_name) |
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487 verbose_catf("===\n") |
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488 param <- processing_parameters |
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489 selected_precursors <- which( |
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490 (abs(precursors$precurMtchMZ - param$mzref) <= param$tolmz) |
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491 & (abs(precursors$precurMtchRT - param$rtref) <= param$tolrt) |
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492 ) |
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493 rm(param) |
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494 |
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495 verbose_catf( |
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496 "> %s precursors selected with mz=%s±%s and rt=%s±%s\n", |
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497 length(selected_precursors), |
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498 processing_parameters$mzref, |
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499 processing_parameters$tolmz, |
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500 processing_parameters$rtref, |
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501 processing_parameters$tolrt |
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502 ) |
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503 |
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504 ## check if there is the precursor in the file |
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505 |
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506 if (length(selected_precursors) < 1) { |
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507 cat("> non detected in precursor file\n") |
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508 show_end_processing() |
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509 return(NULL) |
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510 } |
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511 |
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512 precursors <- precursors[selected_precursors, ] |
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513 |
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514 ## check if fragments corresponding to precursor are found in several |
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515 ## files (collision energy) |
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516 ## this lead to a processing for each fileid |
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517 file_ids <- as.character(sort(unique(precursors$fileid))) |
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518 if (length(file_ids) > 1) { |
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519 catf("> several files detected for this compounds :\n") |
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520 } else if (length(file_ids) < 1 || nrow(precursors) < 1) { |
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521 return(data.frame()) |
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522 } |
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523 |
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524 res_comp <- data.frame() |
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525 for (curent_file_id in file_ids) { |
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526 curent_precursors <- precursors[precursors$fileid == curent_file_id, ] |
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527 selected_fragments <- fragments[ |
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528 fragments$grpid %in% as.character(curent_precursors$grpid) |
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529 & fragments$fileid == curent_file_id, |
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530 ] |
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531 filtered_fragments <- selected_fragments[ |
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532 selected_fragments$ra > processing_parameters$seuil_ra, |
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533 ] |
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534 if (nrow(filtered_fragments) != 0) { |
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535 res_comp_by_file <- process_file( |
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536 curent_file_id = curent_file_id, |
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537 precursor_mz = curent_precursors$mz, |
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538 filtered_fragments = filtered_fragments, |
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539 processing_parameters = processing_parameters |
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540 ) |
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541 if (!is.null(res_comp_by_file)) { |
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542 res_comp <- rbind(res_comp, res_comp_by_file) |
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543 } |
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544 } else { |
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545 catf("No fragment found for in fragment file\n") |
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546 } |
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547 } |
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548 return(unique(res_comp)) |
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549 } |
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550 |
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551 process_file <- function( |
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552 curent_file_id, |
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553 precursor_mz, |
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554 filtered_fragments, |
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555 processing_parameters |
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556 ) { |
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557 mznominal <- round(x = filtered_fragments$mz, digits = 0) |
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558 meaned_mz <- round( |
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559 aggregate( |
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560 data.frame( |
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561 mz = filtered_fragments$mz, |
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562 mznominal = mznominal |
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563 ), |
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564 list(mznominal), |
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565 FUN = mean |
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566 )$mz, |
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567 digits = processing_parameters$mzdecimal |
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568 ) |
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569 filtered_fragments <- data.frame(filtered_fragments, mznominal) |
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570 |
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571 ## creation of cross table row=scan col=mz X=ra |
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572 |
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573 vmz <- as.character(sort(unique(filtered_fragments$mznominal))) |
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574 |
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575 ds_abs_int <- create_ds_abs_int(vmz, filtered_fragments) |
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576 |
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577 if (global_debug) { |
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578 print(ds_abs_int) |
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579 } |
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580 |
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581 ## elimination of mz with less than min_number_scan scans (user defined |
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582 ## parameter) |
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583 xmz <- rep(NA, ncol(ds_abs_int) - 1) |
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584 sum_int <- rep(NA, ncol(ds_abs_int)) |
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585 nbxmz <- 0 |
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586 nb_scan_check <- min(nrow(ds_abs_int), processing_parameters$min_number_scan) |
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587 |
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588 for (j in 2:ncol(ds_abs_int)) { |
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589 sum_int[j] <- sum(ds_abs_int[j], na.rm = TRUE) |
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590 if (sum(!is.na(ds_abs_int[[j]])) < nb_scan_check) { |
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591 nbxmz <- nbxmz + 1 |
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592 xmz[nbxmz] <- j |
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593 } |
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594 } |
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595 |
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596 xmz <- xmz[-which(is.na(xmz))] |
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597 if (length(xmz) > 0) { |
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598 ds_abs_int <- ds_abs_int[, -c(xmz)] |
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599 sum_int <- sum_int[-c(xmz)] |
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600 ## liste des mz keeped decale de 1 avec ds_abs_int |
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601 vmz <- as.numeric(vmz[-c(xmz - 1)]) |
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602 meaned_mz <- meaned_mz[-c(xmz - 1)] |
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603 } |
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604 |
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605 ## mz of precursor in data precursor to check correlation with |
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606 mz_prec <- paste0( |
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607 "mz", |
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608 round(mean(precursor_mz), processing_parameters$mzdecimal) |
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609 ) |
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610 ## reference ion for correlation computing = precursor OR maximum |
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611 ## intensity ion in precursor is not present |
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612 refcol <- which(colnames(ds_abs_int) == mz_prec) |
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613 if (length(refcol) == 0) { |
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614 refcol <- which(sum_int == max(sum_int, na.rm = TRUE)) |
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615 } |
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616 |
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617 if (processing_parameters$do_pdf) { |
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618 start_pdf(processing_parameters, curent_file_id) |
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619 } |
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620 |
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621 ## Pearson correlations between absolute intensities computing |
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622 cor_abs_int <- rep(NA, length(vmz)) |
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623 |
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624 if (length(refcol) > 0) { |
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625 for (i in 2:length(ds_abs_int)) { |
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626 cor_abs_int[i - 1] <- stats::cor( |
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627 x = ds_abs_int[[refcol]], |
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628 y = ds_abs_int[[i]], |
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629 use = "pairwise.complete.obs", |
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630 method = "pearson" |
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631 ) |
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632 debug_catf( |
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633 "Correlation between %s and %s: %s\n", |
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634 paste(ds_abs_int[[refcol]], collapse = ";"), |
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635 paste(ds_abs_int[[i]], collapse = ";"), |
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636 paste(cor_abs_int[i - 1], collapse = ";") |
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637 ) |
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638 if (processing_parameters$do_pdf) { |
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639 pdf_plot_ds_abs_int( |
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640 processing_parameters$c_name, |
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641 ds_abs_int, |
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642 refcol, |
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643 i, |
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644 round(cor_abs_int[i - 1], 2) |
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645 ) |
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646 } |
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647 } |
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648 ## plot pseudo spectra |
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649 res_comp_by_file <- plot_pseudo_spectra( |
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650 x = ds_abs_int, |
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651 fid = curent_file_id, |
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652 sum_int = sum_int, |
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653 vmz = vmz, |
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654 cor_abs_int = cor_abs_int, |
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655 refcol = refcol, |
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656 meaned_mz = meaned_mz, |
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657 processing_parameters = processing_parameters |
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658 ) |
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659 catf( |
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660 "%s has been processed and %s fragments have been found.\n", |
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661 processing_parameters$c_name, |
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662 nrow(res_comp_by_file) |
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663 ) |
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664 } else { |
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665 res_comp_by_file <- NULL |
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666 cat(">> non detected in fragments file \n") |
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667 } |
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668 show_end_processing() |
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669 if (processing_parameters$do_pdf) { |
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670 end_pdf() |
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671 } |
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672 return(res_comp_by_file) |
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673 } |
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674 |
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675 create_ds_abs_int <- function(vmz, filtered_fragments) { |
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676 verbose_catf( |
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677 ">> fragments: %s\n", |
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678 paste(vmz, collapse = " ") |
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679 ) |
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680 ds_abs_int <- create_int_mz(vmz[1], filtered_fragments) |
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681 for (mz in vmz[-1]) { |
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682 int_mz <- create_int_mz(mz, filtered_fragments) |
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683 ds_abs_int <- merge( |
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684 x = ds_abs_int, |
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685 y = int_mz, |
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686 by.x = 1, |
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687 by.y = 1, |
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688 all.x = TRUE, |
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689 all.y = TRUE |
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690 ) |
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691 } |
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692 return(ds_abs_int) |
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693 } |
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694 |
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695 create_int_mz <- function(mz, filtered_fragments) { |
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696 ## absolute intensity |
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697 int_mz <- filtered_fragments[ |
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698 filtered_fragments$mznominal == mz, |
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699 c("acquisitionNum", "i") |
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700 ] |
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701 colnames(int_mz)[2] <- paste0("mz", mz) |
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702 ## average intensities of mass in duplicate scans |
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703 comp_scans <- aggregate(x = int_mz, by = list(int_mz[[1]]), FUN = mean) |
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704 return(comp_scans[, -1]) |
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705 } |
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706 |
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707 show_end_processing <- function() { |
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708 verbose_catf("==========\n") |
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709 cat("\n") |
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710 } |
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711 |
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712 start_pdf <- function(processing_parameters, curent_file_id) { |
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713 if (!dir.exists(processing_parameters$pdf_path)) { |
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714 dir.create(processing_parameters$pdf_path, recursive = TRUE) |
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715 } |
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716 pdf( |
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717 file = sprintf( |
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718 "%s/%s_processing_file%s.pdf", |
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719 processing_parameters$pdf_path, |
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720 processing_parameters$c_name, |
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721 curent_file_id |
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722 ), |
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723 width = 8, |
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724 height = 11 |
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725 ) |
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726 par(mfrow = c(3, 2)) |
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727 } |
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728 |
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729 pdf_plot_ds_abs_int <- function(c_name, ds_abs_int, refcol, i, r_coef) { |
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730 plot( |
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731 ds_abs_int[[refcol]], |
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732 ds_abs_int[[i]], |
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733 xlab = colnames(ds_abs_int)[refcol], |
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734 ylab = colnames(ds_abs_int)[i], |
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735 main = sprintf( |
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736 "%s corr coeff r=%s", c_name, r_coef |
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737 ) |
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738 ) |
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739 } |
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740 end_pdf <- function() { |
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741 dev.off() |
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742 } |
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743 |
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744 set_global <- function(var, value) { |
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745 assign(var, value, envir = globalenv()) |
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746 } |
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747 |
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748 set_debug <- function() { |
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749 set_global("global_debug", TRUE) |
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750 } |
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751 |
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752 unset_debug <- function() { |
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753 set_global("global_debug", FALSE) |
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754 } |
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755 |
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756 set_verbose <- function() { |
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757 set_global("global_verbose", TRUE) |
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758 } |
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759 |
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760 unset_verbose <- function() { |
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761 set_global("global_verbose", FALSE) |
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762 } |
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763 |
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764 verbose_catf <- function(...) { |
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765 if (global_verbose) { |
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766 cat(sprintf(...), sep = "") |
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767 } |
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768 } |
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769 |
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770 |
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771 debug_catf <- function(...) { |
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772 if (global_debug) { |
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773 cat(sprintf(...), sep = "") |
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774 } |
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775 } |
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776 |
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777 catf <- function(...) { |
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778 cat(sprintf(...), sep = "") |
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779 } |
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780 |
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781 create_parser <- function() { |
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782 parser <- optparse::OptionParser() |
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783 parser <- optparse::add_option( |
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784 parser, |
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785 c("-v", "--verbose"), |
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786 action = "store_true", |
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787 default = FALSE, |
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788 help = paste( |
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789 "[default %default]", |
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790 "Print extra output" |
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791 ) |
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792 ) |
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793 parser <- optparse::add_option( |
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794 parser, |
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795 c("-V", "--version"), |
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796 action = "store_true", |
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797 default = FALSE, |
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798 help = "Prints version and exits" |
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799 ) |
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800 parser <- optparse::add_option( |
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801 parser, |
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802 c("-d", "--debug"), |
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803 action = "store_true", |
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804 default = FALSE, |
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805 help = paste( |
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806 "[default %default]", |
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807 "Print debug outputs" |
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808 ) |
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809 ) |
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810 parser <- optparse::add_option( |
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811 parser, |
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812 c("-o", "--output"), |
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813 type = "character", |
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814 default = DEFAULT_OUTPUT_PATH, |
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815 action = "store", |
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816 help = "Path to the output file [default %default]" |
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817 ) |
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818 parser <- optparse::add_option( |
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819 parser, |
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820 c("-p", "--precursors"), |
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821 type = "character", |
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822 default = DEFAULT_PRECURSOR_PATH, |
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823 action = "store", |
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824 help = "Path to the precursors file [default %default]" |
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825 ) |
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826 parser <- optparse::add_option( |
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827 parser, |
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828 c("-f", "--fragments"), |
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829 type = "character", |
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830 default = DEFAULT_FRAGMENTS_PATH, |
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831 action = "store", |
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832 help = "Path to the fragments file [default %default]" |
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833 ) |
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834 parser <- optparse::add_option( |
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835 parser, |
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836 c("-c", "--compounds"), |
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837 type = "character", |
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838 default = DEFAULT_COMPOUNDS_PATH, |
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839 action = "store", |
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840 help = "Path to the compounds file [default %default]" |
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841 ) |
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842 parser <- optparse::add_option( |
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843 parser, |
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844 c("--tolmz"), |
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845 type = "numeric", |
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846 action = "store", |
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847 default = DEFAULT_TOLMZ, |
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848 metavar = "number", |
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849 help = paste( |
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850 "[default %default]", |
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851 "Tolerance for MZ (in Dalton) to match the standard in the compounds" |
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852 ) |
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853 ) |
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854 parser <- optparse::add_option( |
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855 parser, |
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856 c("--tolrt"), |
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857 type = "integer", |
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858 action = "store", |
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859 default = DEFAULT_TOLRT, |
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860 metavar = "number", |
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861 help = paste( |
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862 "[default %default]", |
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|
863 "RT (in seconds) to match the standard in the compounds" |
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|
864 ) |
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|
865 ) |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
866 parser <- optparse::add_option( |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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changeset
|
867 parser, |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
868 c("--seuil_ra"), |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
869 type = "numeric", |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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changeset
|
870 action = "store", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
871 default = DEFAULT_SEUIL_RA, |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
872 metavar = "number", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
873 help = paste( |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
874 "[default %default]", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
875 "relative intensity threshold" |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
876 ), |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
877 ) |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
878 parser <- optparse::add_option( |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
879 parser, |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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changeset
|
880 c("--mzdecimal"), |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
881 type = "integer", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
882 default = DEFAULT_MZDECIMAL, |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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changeset
|
883 action = "store", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
884 help = paste( |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
885 "[default %default]", |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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changeset
|
886 "Number of decimal to write for MZ" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
887 ), |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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888 metavar = "number" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
889 ) |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
890 parser <- optparse::add_option( |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
891 parser, |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
892 c("--r_threshold"), |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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893 type = "integer", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
894 default = DEFAULT_R_THRESHOLD, |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
895 action = "store", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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896 help = paste( |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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897 "[default %default]", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
898 "R-Pearson correlation threshold between precursor and fragment", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
899 "absolute intensity" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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900 ), |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
901 metavar = "number" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
902 ) |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
903 parser <- optparse::add_option( |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
904 parser, |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
905 c("--min_number_scan"), |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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906 type = "numeric", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
907 action = "store", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
908 default = DEFAULT_MINNUMBERSCAN, |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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909 help = paste( |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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910 "[default %default]", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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911 "Fragments are kept if there are found in a minimum number", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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912 "of min_number_scan scans" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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913 ), |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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914 metavar = "number" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
915 ) |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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916 parser <- optparse::add_option( |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
workflow4metabolomics
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917 parser, |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
918 c("--pdf_path"), |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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919 type = "character", |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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920 default = DEFAULT_PDF_PATH, |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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921 help = paste( |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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922 "[default %default]", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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923 "PDF files output path" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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924 ) |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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925 ) |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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926 parser <- optparse::add_option( |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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927 parser, |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
928 c("--ionization"), |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
929 type = "character", |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
930 action = "store", |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
931 default = "None", |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
932 help = paste( |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
workflow4metabolomics
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|
933 "[default %default]", |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
934 "Which ionization to use for sirius" |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
935 ), |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
936 metavar = "character" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
937 ) |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
workflow4metabolomics
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|
938 parser <- optparse::add_option( |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
workflow4metabolomics
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|
939 parser, |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
940 c("--fragment_match_delta"), |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
941 type = "numeric", |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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942 action = "store", |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
943 default = DEFAULT_FRAGMENTS_MATCH_DELTA, |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
workflow4metabolomics
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944 help = paste( |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
workflow4metabolomics
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945 "[default %default]", |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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946 "Fragment match delta" |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
947 ), |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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948 metavar = "numeric" |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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949 ) |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
950 parser <- optparse::add_option( |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
workflow4metabolomics
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951 parser, |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
952 c("--fragment_match_delta_unit"), |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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953 type = "character", |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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954 action = "store", |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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955 default = DEFAULT_FRAGMENTS_MATCH_DELTA_UNIT, |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
workflow4metabolomics
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956 help = paste( |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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957 "[default %default]", |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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958 "Fragment match delta" |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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959 ), |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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960 metavar = "character" |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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961 ) |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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962 return(parser) |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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963 } |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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964 |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
965 stop_with_status <- function(msg, status) { |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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966 sink(stderr()) |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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967 message(sprintf("Error: %s", msg)) |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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968 message(sprintf("Error code: %s", status)) |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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969 sink(NULL) |
77abacd33c31
planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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970 base::quit(status = status) |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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|
971 } |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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972 |
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planemo upload commit 1f791337b9b8f08326c01bf4799f50493ef54f80
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973 check_args_validity <- function(args) { ## nolint cyclocomp_linter |
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974 if (length(args$output) == 0 || nchar(args$output[1]) == 0) { |
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975 stop_with_status( |
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976 "Missing output parameters. Please set it with --output.", |
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977 MISSING_PARAMETER_ERROR |
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978 ) |
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979 } |
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980 if (length(args$precursors) == 0 || nchar(args$precursors[1]) == 0) { |
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981 stop_with_status( |
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982 "Missing precursors parameters. Please set it with --precursors.", |
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983 MISSING_PARAMETER_ERROR |
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984 ) |
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985 } |
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986 if (length(args$fragments) == 0 || nchar(args$fragments[1]) == 0) { |
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987 stop_with_status( |
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988 "Missing fragments parameters. Please set it with --fragments.", |
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989 MISSING_PARAMETER_ERROR |
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990 ) |
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991 } |
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992 if (length(args$compounds) == 0 || nchar(args$compounds[1]) == 0) { |
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993 stop_with_status( |
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994 "Missing compounds parameters. Please set it with --compounds.", |
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995 MISSING_PARAMETER_ERROR |
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996 ) |
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997 } |
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998 if (!file.exists(args$precursors)) { |
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999 stop_with_status( |
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1000 sprintf( |
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1001 "Precursors file %s does not exist or cannot be accessed.", |
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1002 args$precursors |
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1003 ), |
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1004 MISSING_INPUT_FILE_ERROR |
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1005 ) |
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1006 } |
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1007 if (!file.exists(args$fragments)) { |
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1008 stop_with_status( |
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1009 sprintf( |
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1010 "Fragments file %s does not exist or cannot be accessed.", |
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1011 args$fragments |
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1012 ), |
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1013 MISSING_INPUT_FILE_ERROR |
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1014 ) |
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1015 } |
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1016 if (!file.exists(args$compounds)) { |
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1017 stop_with_status( |
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1018 sprintf( |
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1019 "Compounds file %s does not exist or cannot be accessed.", |
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1020 args$compounds |
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1021 ), |
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1022 MISSING_INPUT_FILE_ERROR |
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1023 ) |
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1024 } |
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1025 if (in_galaxy_env()) { |
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1026 check_galaxy_args_validity(args) |
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1027 } |
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1028 } |
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1029 |
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1030 in_galaxy_env <- function() { |
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1031 sysvars <- Sys.getenv() |
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1032 sysvarnames <- names(sysvars) |
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1033 return( |
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1034 "_GALAXY_JOB_HOME_DIR" %in% sysvarnames |
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1035 || "_GALAXY_JOB_TMP_DIR" %in% sysvarnames |
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1036 || "GALAXY_MEMORY_MB" %in% sysvarnames |
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1037 || "GALAXY_MEMORY_MB_PER_SLOT" %in% sysvarnames |
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1038 || "GALAXY_SLOTS" %in% sysvarnames |
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1039 ) |
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1040 } |
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1041 |
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1042 check_galaxy_args_validity <- function(args) { |
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1043 if (!file.exists(args$output)) { |
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1044 stop_with_status( |
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1045 sprintf( |
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1046 "Output file %s does not exist or cannot be accessed.", |
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1047 args$output |
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1048 ), |
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1049 MISSING_INPUT_FILE_ERROR |
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1050 ) |
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1051 } |
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1052 } |
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1053 |
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1054 get_csv_or_tsv <- function( |
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1055 path, |
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1056 sep_stack = c("\t", ",", ";"), |
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1057 sep_names = c("tab", "comma", "semicolon"), |
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1058 header = TRUE, |
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1059 quote = "\"" |
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1060 ) { |
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1061 sep <- determine_csv_or_tsv_sep( |
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1062 path = path, |
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1063 sep_stack = sep_stack, |
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1064 header = header, |
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1065 quote = quote |
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1066 ) |
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1067 verbose_catf( |
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1068 "%s separator has been determined for %s.\n", |
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1069 sep_names[sep_stack == sep], |
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1070 path |
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1071 ) |
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1072 return(read.table( |
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1073 file = path, |
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1074 sep = sep, |
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1075 header = header, |
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1076 quote = quote |
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1077 )) |
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1078 } |
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1079 |
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1080 determine_csv_or_tsv_sep <- function( |
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1081 path, |
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1082 sep_stack = c("\t", ",", ";"), |
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1083 header = TRUE, |
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1084 quote = "\"" |
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1085 ) { |
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1086 count <- -1 |
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1087 best_sep <- sep_stack[1] |
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1088 for (sep in sep_stack) { |
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1089 tryCatch({ |
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1090 table <- read.table( |
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1091 file = path, |
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1092 sep = sep, |
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1093 header = header, |
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1094 quote = quote, |
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1095 nrows = 1 |
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1096 ) |
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1097 if (ncol(table) > count) { |
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1098 count <- ncol(table) |
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1099 best_sep <- sep |
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1100 } |
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1101 }) |
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1102 } |
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1103 return(best_sep) |
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1104 } |
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1105 |
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1106 uniformize_columns <- function(df) { |
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1107 cols <- colnames(df) |
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1108 for (func in c(tolower)) { |
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1109 cols <- func(cols) |
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1110 } |
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1111 colnames(df) <- cols |
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1112 return(df) |
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1113 } |
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1114 |
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1115 handle_galaxy_param <- function(args) { |
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1116 for (param in names(args)) { |
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1117 if (is.character(args[[param]])) { |
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1118 args[[param]] <- gsub("__ob__", "[", args[[param]]) |
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1119 args[[param]] <- gsub("__cb__", "]", args[[param]]) |
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1120 } |
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1121 } |
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1122 return(args) |
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1123 } |
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1124 |
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1125 zip_pdfs <- function(processing_parameters) { |
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1126 if (processing_parameters$do_pdf) { |
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1127 if (zip <- Sys.getenv("R_ZIPCMD", "zip") == "") { |
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1128 catf("R could not fin the zip executable. Trying luck: zip = \"zip\"") |
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1129 zip <- "zip" |
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1130 } else { |
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1131 catf("Found zip executable at %s .", zip) |
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1132 } |
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1133 utils::zip( |
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1134 processing_parameters$pdf_zip_path, |
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1135 processing_parameters$pdf_path, |
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1136 zip = zip |
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1137 ) |
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1138 } |
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1139 } |
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1140 |
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1141 main <- function(args) { |
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1142 if (args$version) { |
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1143 catf("%s\n", MS2SNOOP_VERSION) |
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1144 base::quit(status = 0) |
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1145 } |
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1146 if (in_galaxy_env()) { |
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1147 print(sessionInfo()) |
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1148 cat("\n\n") |
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1149 } |
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1150 check_args_validity(args) |
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1151 args <- handle_galaxy_param(args) |
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1152 if (args$ionization == "None") { |
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1153 args$ionization <- NULL |
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1154 } |
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1155 if (args$debug) { |
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1156 set_debug() |
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1157 } |
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1158 if (args$verbose) { |
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1159 set_verbose() |
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1160 } |
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1161 precursors <- get_csv_or_tsv(args$precursors) |
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1162 fragments <- get_csv_or_tsv(args$fragments) |
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1163 compounds <- get_csv_or_tsv(args$compounds) |
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1164 |
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1165 compounds <- uniformize_columns(compounds) |
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1166 mandatory_columns <- c( |
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1167 "compound_name", |
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1168 "mz", |
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1169 "rtsec", |
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1170 "inchikey" |
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1171 ) |
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1172 presents <- mandatory_columns %in% colnames(compounds) |
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1173 if (!all(presents)) { |
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1174 stop_with_status( |
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1175 sprintf( |
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1176 "Some columns are missing: %s", |
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1177 paste(mandatory_columns[which(!presents)], collapse = ", ") |
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1178 ), |
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1179 BAD_PARAMETER_VALUE_ERROR |
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1180 ) |
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1181 } |
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1182 |
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1183 res_all <- data.frame() |
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1184 processing_parameters <- list( |
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1185 min_number_scan = args$min_number_scan, |
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1186 mzdecimal = args$mzdecimal, |
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1187 r_threshold = args$r_threshold, |
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1188 seuil_ra = args$seuil_ra, |
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1189 tolmz = args$tolmz, |
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1190 tolrt = args$tolrt, |
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1191 ionization = args$ionization, |
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1192 do_pdf = nchar(args$pdf_path) > 0, |
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1193 pdf_zip_path = args$pdf_path, |
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1194 pdf_path = tempdir(), |
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1195 fragment_match_delta = args$fragment_match_delta, |
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1196 fragment_match_delta_unit = args$fragment_match_delta_unit |
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1197 ) |
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1198 for (i in seq_len(nrow(compounds))) { |
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1199 processing_parameters$mzref <- compounds[["mz"]][i] |
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1200 processing_parameters$rtref <- compounds[["rtsec"]][i] |
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1201 processing_parameters$c_name <- compounds[["compound_name"]][i] |
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1202 processing_parameters$inchikey <- compounds[["inchikey"]][i] |
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1203 processing_parameters$elemcomposition <- compounds[["elemcomposition"]][i] |
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1204 res_cor <- extract_fragments( |
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1205 precursors = precursors, |
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1206 fragments = fragments, |
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1207 processing_parameters = processing_parameters |
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1208 ) |
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1209 if (!is.null(res_cor)) { |
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1210 res_all <- rbind(res_all, res_cor) |
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1211 } |
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1212 } |
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1213 |
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1214 if (nrow(res_all) == 0) { |
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1215 stop_with_status("No result at all!", NO_ANY_RESULT_ERROR) |
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1216 } |
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1217 |
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1218 write.table( |
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1219 x = res_all, |
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1220 file = args$output, |
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1221 sep = "\t", |
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1222 row.names = FALSE |
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1223 ) |
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1224 zip_pdfs(processing_parameters) |
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1225 unlink(processing_parameters$pdf_path, recursive = TRUE) |
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1226 } |
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1227 |
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1228 global_debug <- FALSE |
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1229 global_verbose <- FALSE |
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1230 args <- optparse::parse_args(create_parser()) |
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1231 main(args) |
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1232 |
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1233 warnings() |