Mercurial > repos > proteore > proteore_prot_features
annotate get_data_nextprot.R @ 0:e3b52db3d583 draft
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author | proteore |
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date | Sun, 26 Nov 2017 19:45:52 -0500 |
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1 # Usage : Rscript --vanilla get_data_nextprot.R --inputtype copypaste (or |
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2 # tabfile) --input file.txt --nextprot result_nextprot.txt --column column |
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3 # --argsP1 IsoPoint,SeqLength,MW |
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4 # --argsP2 Chr,SubcellLocations --argsP3 Diseases --type id nextprot (uniprot) |
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5 # --output output.txt --header TRUE |
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6 |
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7 # e.g : |
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8 # Rscript --vanilla get_data_nextprot.R --inputtype copypaste --input P01133 P00533 P62158 Q16566 P31323 P17612 P10644 |
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9 # P22612 P31321 P13861 P22694 P25098 P16220 Q14573 Q14571 Q14643 Q05655 Q02156 |
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10 # P19174 O43865 Q01064 P54750 Q14123 P51828 Q08828 O60266 Q08462 O60503 O43306 |
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11 # Q8NFM4 O95622 P40145 P17252 P05129 --nextprot |
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12 # result_nextprot.txt--column c1 --argsP1 IsoPoint --argsP2 |
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13 # Chr --argsP3 Diseases --typeid uniprot --output output.txt --header FALSE |
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14 |
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15 # Useful functions |
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16 |
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17 '%!in%' <- function(x,y)!('%in%'(x,y)) |
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18 |
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19 # Parse arguments |
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20 |
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21 args = commandArgs(trailingOnly = TRUE) |
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22 |
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23 # create a list of the arguments from the command line, separated by a blank space |
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24 hh <- paste(unlist(args),collapse=' ') |
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25 # delete the first element of the list which is always a blank space |
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26 listoptions <- unlist(strsplit(hh,'--'))[-1] |
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27 # for each input, split the arguments with blank space as separator, unlist, and delete the first element which is the input name (e.g --protalas) |
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28 options.args <- sapply(listoptions,function(x){ |
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29 unlist(strsplit(x, ' '))[-1] |
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30 }) |
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31 # same as the step above, except that only the names are kept |
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32 options.names <- sapply(listoptions,function(x){ |
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33 option <- unlist(strsplit(x, ' '))[1] |
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34 }) |
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35 names(options.args) <- unlist(options.names) |
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36 |
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37 |
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38 typeinput = as.character(options.args[1]) |
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39 nextprot = read.table(as.character(options.args[3]),header=TRUE,sep="\t",quote="\"") |
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40 listfile = as.character(options.args[2]) |
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41 column = as.numeric(gsub("c","",options.args[4])) |
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42 P1_args = as.character(options.args[5]) |
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43 P2_args = as.character(options.args[6]) |
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44 P3_args = as.character(options.args[7]) |
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45 typeid = as.character(options.args[8]) |
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46 filename = as.character(options.args[9]) |
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47 header = as.character(options.args[10]) |
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48 |
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49 if (typeinput=="copypaste"){ |
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50 sample = as.data.frame(unlist(listfile)) |
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51 sample = sample[,column] |
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52 } |
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53 if (typeinput=="tabfile"){ |
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54 |
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55 if (header=="TRUE"){ |
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56 listfile = read.table(listfile,header=TRUE,sep="\t",quote="\"",fill=TRUE) |
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57 }else{ |
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58 listfile = read.table(listfile,header=FALSE,sep="\t",quote="\"",fill=TRUE) |
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59 } |
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60 sample = listfile[,column] |
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61 |
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62 } |
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63 # Change the sample ids if they are uniprot ids to be able to match them with |
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64 # Nextprot data |
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65 if (typeid=="uniprot"){ |
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66 sample = gsub("^","NX_",sample) |
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67 } |
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68 |
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69 # Select user input protein ids in nextprot |
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70 |
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71 if ((length(sample[sample %in% nextprot[,1]]))==0){ |
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72 |
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73 write.table("None of the input ids are can be found in Nextprot",file=filename,sep="\t",quote=FALSE,col.names=TRUE,row.names=FALSE) |
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74 |
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75 }else{ |
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76 |
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77 |
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78 to_keep = c() |
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79 |
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80 if (P1_args!="None"){ |
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81 P1_args = unlist(strsplit(P1_args,",")) |
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82 for (arg in P1_args){ |
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83 colnb = which(colnames(nextprot) %in% c(arg)) |
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84 to_keep = c(to_keep,colnb) |
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85 } |
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86 } |
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87 |
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88 if (P2_args!="None"){ |
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89 P2_args = unlist(strsplit(P2_args,",")) |
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90 for (arg in P2_args){ |
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91 colnb = which(colnames(nextprot) %in% c(arg)) |
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92 to_keep = c(to_keep,colnb) |
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93 } |
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94 } |
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95 |
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96 if (P3_args!="None"){ |
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97 P3_args = unlist(strsplit(P3_args,",")) |
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98 for (arg in P3_args){ |
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99 colnb = which(colnames(nextprot) %in% c(arg)) |
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100 to_keep = c(to_keep,colnb) |
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101 } |
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102 } |
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103 to_keep = c(1,to_keep) |
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104 lines = which(nextprot[,1] %in% sample) |
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105 data = nextprot[lines,] |
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106 |
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107 data = data[,to_keep] |
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108 |
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109 |
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110 # if only some of the proteins were not found in nextprot they will be added to |
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111 # the file with the fields "Protein not found in Nextprot" |
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112 if (length(which(sample %!in% nextprot[,1]))!=0){ |
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113 proteins_not_found = as.data.frame(sample[which(sample %!in% nextprot[,1])]) |
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114 |
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115 proteins_not_found = cbind(proteins_not_found,matrix(rep("Protein not found in Nextprot",length(proteins_not_found)),nrow=length(proteins_not_found),ncol=length(colnames(data))-1)) |
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116 |
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117 colnames(proteins_not_found)=colnames(data) |
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118 data = rbind(data,proteins_not_found) |
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119 } |
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120 |
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121 # Merge original data and data selected from nextprot |
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122 |
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123 # Before that, if the initial ids were uniprot ids change them back from |
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124 # Nextprot to uniprot ids in data |
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125 if (typeid=="uniprot"){ |
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126 data[,1] = gsub("^NX_","",data[,1]) |
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127 } |
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128 data = merge(listfile, data, by.x = column, by.y=1) |
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129 if (typeid=="uniprot"){ |
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130 colnames(data)[1] = "UniprotID" |
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131 } |
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132 if (typeid=="nextprot"){ |
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133 colnames(data)[1] = "NextprotID" |
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134 } |
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135 # Write result |
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136 write.table(data,file=filename,sep="\t",quote=FALSE,col.names=TRUE,row.names=FALSE) |
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137 |
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138 } |