Mercurial > repos > proteore > proteore_goprofiles
annotate goprofiles.R @ 13:b42399e8d3bf draft
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author | proteore |
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date | Wed, 11 Dec 2019 04:54:47 -0500 |
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rev | line source |
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1 options(warn=-1) #TURN OFF WARNINGS !!!!!! |
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2 |
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3 # Load necessary libraries |
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4 suppressMessages(library(goProfiles,quietly = TRUE)) |
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6 # Read file and return file content as data.frame |
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7 read_file <- function(path,header){ |
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8 file <- try(read.csv(path,header=header, sep="\t",stringsAsFactors = FALSE, quote="\"", check.names = F),silent=TRUE) |
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9 if (inherits(file,"try-error")){ |
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10 stop("File not found !") |
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11 }else{ |
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12 return(file) |
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13 } |
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14 } |
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15 |
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16 #convert a string to boolean |
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17 str2bool <- function(x){ |
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18 if (any(is.element(c("t","true"),tolower(x)))){ |
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19 return (TRUE) |
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20 }else if (any(is.element(c("f","false"),tolower(x)))){ |
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21 return (FALSE) |
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22 }else{ |
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23 return(NULL) |
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24 } |
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25 } |
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26 |
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27 check_ids <- function(vector,type) { |
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28 uniprot_pattern = "^([OPQ][0-9][A-Z0-9]{3}[0-9]|[A-NR-Z][0-9]([A-Z][A-Z0-9]{2}[0-9]){1,2})$" |
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29 entrez_id = "^([0-9]+|[A-Z]{1,2}_[0-9]+|[A-Z]{1,2}_[A-Z]{1,4}[0-9]+)$" |
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30 if (type == "Entrez"){ |
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31 return(grepl(entrez_id,vector)) |
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32 } else if (type == "UniProt") { |
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33 return(grepl(uniprot_pattern,vector)) |
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34 } |
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35 } |
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36 |
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37 getprofile = function(ids, id_type, level, duplicate,species) { |
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38 #################################################################### |
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39 # Arguments |
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40 # - ids: list of input IDs |
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41 # - id_type: type of input IDs (UniProt/ENTREZID) |
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42 # - level |
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43 # - duplicate: if the duplicated IDs should be removed or not (TRUE/FALSE) |
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44 # - species |
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45 #################################################################### |
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46 |
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47 library(species, character.only = TRUE, quietly = TRUE) |
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48 |
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49 if (species=="org.Hs.eg.db"){ |
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50 package=org.Hs.eg.db |
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51 } else if (species=="org.Mm.eg.db"){ |
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52 package=org.Mm.eg.db |
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53 } else if (species=="org.Rn.eg.db"){ |
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54 package=org.Rn.eg.db |
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55 } |
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56 |
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57 # Check if level is number |
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58 if (! as.numeric(level) %% 1 == 0) { |
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59 stop("Please enter an integer for level") |
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60 } else { |
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61 level = as.numeric(level) |
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62 } |
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63 #genes = as.vector(file[,ncol]) |
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64 |
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65 # Extract Gene Entrez ID |
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66 if (id_type == "Entrez") { |
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67 id = select(package, ids, "ENTREZID", multiVals = "first") |
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68 } else { |
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69 id = select(package, ids, "ENTREZID", "UNIPROT", multiVals = "first") |
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70 } |
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71 if (duplicate) { id = unique(id) } |
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72 genes_ids = id$ENTREZID[which( ! is.na(id$ENTREZID))] |
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73 NAs = id$UNIPROT[which(is.na(id$ENTREZID))] # IDs that have NA ENTREZID |
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74 |
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75 # Create basic profiles |
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76 profile.CC = basicProfile(genes_ids, onto='CC', level=level, orgPackage=species, empty.cats=F, ord=T, na.rm=T) |
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77 profile.BP = basicProfile(genes_ids, onto='BP', level=level, orgPackage=species, empty.cats=F, ord=T, na.rm=T) |
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78 profile.MF = basicProfile(genes_ids, onto='MF', level=level, orgPackage=species, empty.cats=F, ord=T, na.rm=T) |
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79 profile.ALL = basicProfile(genes_ids, onto='ANY', level=level, orgPackage=species, empty.cats=F, ord=T, na.rm=T) |
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80 # Print profile |
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81 # printProfiles(profile) |
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82 |
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83 return(c(profile.CC, profile.MF, profile.BP, profile.ALL)) |
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84 } |
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85 |
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86 #return height and width of plot in inches from profile |
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87 plot_size_from_nb_onto <- function(profile){ |
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88 width=10 |
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89 range = seq(25, 2000, by=25) |
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90 names(range) = seq(5,242, by=3) |
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91 nb_onto = round(nrow(profile[[1]])/25)*25 |
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92 if (nb_onto < 25) {nb_onto = 25} |
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93 if (nb_onto <= 2000) { |
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94 height= as.integer(names(which(range==nb_onto))) |
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95 } else { |
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96 height=250 |
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97 } |
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98 return (c(width,height)) |
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99 } |
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100 |
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101 make_plot <- function(profile,percent,title,onto,plot_opt){ |
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102 |
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103 tmp <- plot_size_from_nb_onto (profile) |
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104 width <- tmp[1] |
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105 height <- tmp[2] |
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106 |
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107 if (plot_opt == "PDF") { |
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108 file_name=paste("profile_",onto,".pdf",collapse="",sep="") |
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109 pdf(file_name, width=width, heigh=height) |
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110 } else if (plot_opt == "JPEG"){ |
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111 file_name=paste("profile_",onto,".jpeg",collapse="",sep="") |
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112 jpeg(file_name,width=width, height=height, units = "in", res=100) |
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113 } else if (plot_opt == "PNG"){ |
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114 file_name=paste("profile_",onto,".png",collapse="",sep="") |
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115 png(file_name,width=width, height=height, units = "in", res=100) |
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116 } |
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117 plotProfiles(profile, percentage=percent, multiplePlots=FALSE, aTitle=title) |
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118 dev.off() |
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119 } |
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120 |
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121 goprofiles = function() { |
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122 args <- commandArgs(TRUE) |
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123 if(length(args)<1) { |
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124 args <- c("--help") |
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125 } |
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126 |
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127 # Help section |
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128 if("--help" %in% args) { |
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129 cat("Selection and Annotation HPA |
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130 Arguments: |
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131 --input_type: type of input (list of id or filename) |
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132 --input: input |
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133 --ncol: the column number which you would like to apply... |
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134 --header: true/false if your file contains a header |
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135 --id_type: the type of input IDs (UniProt/EntrezID) |
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136 --onto_opt: ontology options |
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137 --plot_opt: plot extension options (PDF/JPEG/PNG) |
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138 --level: 1-3 |
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139 --per |
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140 --title: title of the plot |
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141 --duplicate: remove dupliate input IDs (true/false) |
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142 --text_output: text output filename \n |
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143 --species") |
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144 q(save="no") |
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145 } |
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146 |
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147 # Parse arguments |
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148 parseArgs <- function(x) strsplit(sub("^--", "", x), "=") |
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149 argsDF <- as.data.frame(do.call("rbind", parseArgs(args))) |
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150 args <- as.list(as.character(argsDF$V2)) |
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151 names(args) <- argsDF$V1 |
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152 |
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153 #save(args,file="/home/dchristiany/proteore_project/ProteoRE/tools/goprofiles/args.Rda") |
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154 #load("/home/dchristiany/proteore_project/ProteoRE/tools/goprofiles/args.Rda") |
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155 |
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156 id_type = args$id_type |
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157 input_type = args$input_type |
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158 if (input_type == "text") { |
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159 input = unlist(strsplit(strsplit(args$input, "[ \t\n]+")[[1]],";")) |
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160 } else if (input_type == "file") { |
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161 filename = args$input |
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162 ncol = args$ncol |
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163 # Check ncol |
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164 if (! as.numeric(gsub("c", "", ncol)) %% 1 == 0) { |
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165 stop("Please enter an integer for level") |
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166 } else { |
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167 ncol = as.numeric(gsub("c", "", ncol)) |
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168 } |
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169 header = str2bool(args$header) |
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170 # Get file content |
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171 file = read_file(filename, header) |
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172 # Extract Protein IDs list |
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173 input = unlist(strsplit(as.character(file[,ncol]),";")) |
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174 } |
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175 input = input [which(!is.na(gsub("NA",NA,input)))] |
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176 |
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177 if (! any(check_ids(input,id_type))){ |
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178 stop(paste(id_type,"not found in your ids list, please check your IDs in input or the selected column of your input file")) |
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179 } |
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180 |
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181 ontoopt = strsplit(args$onto_opt, ",")[[1]] |
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182 onto_pos = as.integer(gsub("BP",3,gsub("MF",2,gsub("CC",1,ontoopt)))) |
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183 plotopt = args$plot_opt |
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184 level = args$level |
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185 per = as.logical(args$per) |
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186 title = args$title |
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187 duplicate = str2bool(args$duplicate) |
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188 text_output = args$text_output |
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189 species=args$species |
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190 |
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191 profiles = getprofile(input, id_type, level, duplicate,species) |
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192 |
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193 for (index in onto_pos) { |
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194 onto = names(profiles[index]) |
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195 profile=profiles[index] |
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196 make_plot(profile,per,title,onto,plotopt) |
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197 text_output=paste("goProfiles_",onto,"_",title,".tsv",sep="",collapse="") |
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198 profile = as.data.frame(profile) |
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199 profile <- as.data.frame(apply(profile, c(1,2), function(x) gsub("^$|^ $", NA, x))) #convert "" and " " to NA |
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200 write.table(profile, text_output, sep="\t", row.names = FALSE, quote=FALSE, col.names = T) |
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201 } |
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202 } |
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203 |
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204 goprofiles() |