Mercurial > repos > proteore > proteore_id_converter
annotate id_converter_UniProt.R @ 0:f2d0b13d9615 draft
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author | proteore |
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date | Fri, 16 Feb 2018 03:16:29 -0500 |
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children | 134949593a3b |
rev | line source |
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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) |
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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) |
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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) |
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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 # Extract arguments |
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43 args = commandArgs(trailingOnly = TRUE) |
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44 #print(args) |
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45 if (length(args) != 6) { |
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46 stop("Not enough/Too many arguments", call. = FALSE) |
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47 } |
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48 else { |
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49 input_id_type = args[1] |
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50 list_id = args[2] |
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51 list_id_input_type = args[3] |
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52 options = strsplit(args[4], ",")[[1]] |
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53 output = args[5] |
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54 human_id_mapping_file = args[6] |
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55 |
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56 # Extract ID maps |
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57 human_id_map = read.table(human_id_mapping_file, header = TRUE, sep = "\t", stringsAsFactors = FALSE, fill = TRUE, na.strings = "") |
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58 |
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59 # Extract input IDs |
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60 if (list_id_input_type == "list") { |
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61 list_id = strsplit(args[2], " ")[[1]] |
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62 # Remove isoform accession number (e.g. "-2") |
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63 list_id = gsub("-.+", "", list_id) |
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64 } |
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65 else if (list_id_input_type == "file") { |
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66 filename = as.character(strsplit(list_id, ",")[[1]][1]) |
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67 column_number = as.numeric(gsub("c", "" ,strsplit(list_id, ",")[[1]][2])) |
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68 header = strsplit(list_id, ",")[[1]][3] |
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69 file_all = readfile(filename, header) |
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70 print(class(file_all)) |
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71 str(file_all) |
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72 print(class(file_all[,1])) |
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73 list_id = c() |
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74 list_id = sapply(strsplit(file_all[,column_number], ";"), "[", 1) |
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75 # Remove isoform accession number (e.g. "-2") |
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76 list_id = gsub("-.+", "", list_id) |
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77 } |
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78 names = c() |
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79 |
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80 # Map IDs |
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81 res = matrix(nrow=length(list_id), ncol=0) |
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82 |
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83 for (opt in options) { |
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84 names = c(names, opt) |
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85 mapped = human_id_map[match(list_id, human_id_map[input_id_type][,]),][opt][,] |
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86 res = cbind(res, matrix(mapped)) |
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87 } |
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88 |
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89 # Write output |
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90 if (list_id_input_type == "list") { |
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91 res = cbind(as.matrix(list_id), res) |
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92 names = c(input_id_type, names) |
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93 colnames(res) = names |
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94 write.table(res, output, row.names = FALSE, sep = "\t", quote = FALSE) |
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95 } |
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96 else if (list_id_input_type == "file") { |
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97 names(res) = options |
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98 names = c(names(file_all), names) |
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99 output_content = cbind(file_all, res) |
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100 colnames(output_content) = names |
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101 write.table(output_content, output, row.names = FALSE, sep = "\t", quote = FALSE) |
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102 } |
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103 } |
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104 } |
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105 |
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106 mapping() |
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107 |
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108 #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 |