annotate id_converter_UniProt.R @ 12:9b0428ecefb8 draft

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author proteore
date Mon, 27 Aug 2018 06:06:51 -0400
parents 0584344186eb
children 659f1248f535
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1 # Read file and return file content as data.frame
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2 readfile = function(filename, header) {
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3 if (header == "true") {
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4 # Read only first line of the file as header:
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5 headers <- read.table(filename, nrows = 1, header = FALSE, sep = "\t", stringsAsFactors = FALSE, fill = TRUE, na.strings=c("", "NA"), blank.lines.skip = TRUE, quote = "")
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6 #Read the data of the files (skipping the first row)
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7 file <- read.table(filename, skip = 1, header = FALSE, sep = "\t", stringsAsFactors = FALSE, fill = TRUE, na.strings=c("", "NA"), blank.lines.skip = TRUE, quote = "")
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8 # Remove empty rows
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9 file <- file[!apply(is.na(file) | file == "", 1, all), , drop=FALSE]
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10 #And assign the header to the data
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11 names(file) <- headers
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12 }
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13 else {
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14 file <- read.table(filename, header = FALSE, sep = "\t", stringsAsFactors = FALSE, fill = TRUE, na.strings=c("", "NA"), blank.lines.skip = TRUE, quote = "")
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15 # Remove empty rows
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16 file <- file[!apply(is.na(file) | file == "", 1, all), , drop=FALSE]
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17 }
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18 return(file)
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19 }
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20
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21 # Mapping IDs using file built from
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22 # - HUMAN_9606_idmapping_selected.tab
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23 # Tarball downloaded from ftp://ftp.uniprot.org/pub/databases/uniprot/current_release/knowledgebase/idmapping/by_organism/
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24 # - nextprot_ac_list_all.txt
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25 # Downloaded from ftp://ftp.nextprot.org/pub/current_release/ac_lists/
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26 # Available databases:
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27 # UNIPROT_AC: Uniprot accession number (e.g. P31946)
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28 # UNIPROT_ID: Uniprot identifiers (e.g 1433B_HUMAN)
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29 # GeneID_EntrezGene: Entrez gene ID (serie of digit) (e.g. 7529)
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30 # RefSeq: RefSeq (NCBI) protein (e.g. NP_003395.1; NP_647539.1; XP_016883528.1)
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31 # GI_number: GI (NCBI GI number) ID (serie of digits) assigned to each sequence record processed by NCBI (e.g; 21328448; 377656701; 67464627; 78101741)
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32 # PDB: Protein DataBank Identifiers (e.g. 2BR9:A; 3UAL:A; 3UBW:A)
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33 # GO_ID: GOterms (Gene Ontology) Identifiers (e.g. GO:0070062; GO:0005925; GO:0042470; GO:0016020; GO:0005739; GO:0005634)
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34 # PIR: Protein Information Resource ID (e.g. S34755)
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35 # OMIM: OMIM (Online Mendelian Inheritance in Man database) ID (serie of digits) (e.g: 601289)
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36 # UniGene: Unigene Identifier (e.g. Hs.643544)
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37 # Ensembl_ENSG: Ensembl gene identifiers (e.g. ENSG00000166913)
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38 # Ensembl_ENST: Ensembl transcript identifiers (e.g. ENST00000353703; ENST00000372839)
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39 # Ensembl_ENSP: Ensembl protein identifiers (e.g. ENSP00000300161; ENSP00000361930)
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40
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41 mapping = function() {
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42 args <- commandArgs(TRUE)
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43 if(length(args)<1) {
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44 args <- c("--help")
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45 }
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46
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47 # Help section
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48 if("--help" %in% args) {
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49 cat("Selection and Annotation HPA
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50 Arguments:
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51 --ref_file: path to reference file (human_id_mapping_file.txt)
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52 --input_type: type of input (list of id or filename)
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53 --id_type: type of input IDs
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54 --input: list of IDs (text or filename)
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55 --column_number: the column number which contains list of input IDs
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56 --header: true/false if your file contains a header
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57 --target_ids: target IDs to map to
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58 --output: output filename \n")
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59 q(save="no")
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60 }
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61
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62 # Parse arguments
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63 parseArgs <- function(x) strsplit(sub("^--", "", x), "=")
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64 argsDF <- as.data.frame(do.call("rbind", parseArgs(args)))
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65 args <- as.list(as.character(argsDF$V2))
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66 names(args) <- argsDF$V1
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67
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68 input_id_type = args$id_type # Uniprot, ENSG....
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69 list_id_input_type = args$input_type # list or file
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70 options = strsplit(args$target_ids, ",")[[1]]
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71 output = args$output
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72 human_id_mapping_file = args$ref_file
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73
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74 # Extract input IDs
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75 if (list_id_input_type == "list") {
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76 print(args$input)
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77 list_id = strsplit(args$input, "[ \t\n]+")[[1]]
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78 # Remove isoform accession number (e.g. "-2")
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79 list_id = gsub("-.+", "", list_id)
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80 }
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81 else if (list_id_input_type == "file") {
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82 filename = args$input
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83 column_number = as.numeric(gsub("c", "" ,args$column_number))
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84 header = args$header
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85 file_all = readfile(filename, header)
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86 list_id = c()
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87 list_id = sapply(strsplit(file_all[,column_number], ";"), "[", 1)
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88 # Remove isoform accession number (e.g. "-2")
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89 list_id = gsub("-.+", "", list_id)
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90 }
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91
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92 # Extract ID maps
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93 human_id_map = read.table(human_id_mapping_file, header = TRUE, sep = "\t", stringsAsFactors = FALSE, fill = TRUE, na.strings = "", quote = "")
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94
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95 names = c()
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96
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97 # Map IDs
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98 res = matrix(nrow=length(list_id), ncol=0)
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99
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100 for (opt in options) {
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101 names = c(names, opt)
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102 mapped = human_id_map[match(list_id, human_id_map[input_id_type][,]),][opt][,]
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103 res = cbind(res, matrix(mapped))
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104 }
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105
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106 # Write output
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107 if (list_id_input_type == "list") {
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108 res = cbind(as.matrix(list_id), res)
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109 names = c(input_id_type, names)
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110 colnames(res) = names
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111 write.table(res, output, row.names = FALSE, sep = "\t", quote = FALSE)
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112 }
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113 else if (list_id_input_type == "file") {
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114 names(res) = options
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115 names = c(names(file_all), names)
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116 output_content = cbind(file_all, res)
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117 colnames(output_content) = names
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118 write.table(output_content, output, row.names = FALSE, sep = "\t", quote = FALSE)
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119 }
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120 }
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122 mapping()
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124 #Rscript id_converter_UniProt.R "UniProt.AC" "test-data/UnipIDs.txt,c1,false" "file" "Ensembl_PRO,Ensembl,neXtProt_ID" "test-data/output.txt" ../../utils/mapping_file.txt