Mercurial > repos > proteore > proteore_id_converter
view id_converter_UniProt.R @ 9:b1e3473fee5f draft
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author | proteore |
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date | Mon, 27 Aug 2018 05:48:07 -0400 |
parents | 0584344186eb |
children | 659f1248f535 |
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# Read file and return file content as data.frame readfile = function(filename, header) { if (header == "true") { # Read only first line of the file as header: headers <- read.table(filename, nrows = 1, header = FALSE, sep = "\t", stringsAsFactors = FALSE, fill = TRUE, na.strings=c("", "NA"), blank.lines.skip = TRUE, quote = "") #Read the data of the files (skipping the first row) file <- read.table(filename, skip = 1, header = FALSE, sep = "\t", stringsAsFactors = FALSE, fill = TRUE, na.strings=c("", "NA"), blank.lines.skip = TRUE, quote = "") # Remove empty rows file <- file[!apply(is.na(file) | file == "", 1, all), , drop=FALSE] #And assign the header to the data names(file) <- headers } else { file <- read.table(filename, header = FALSE, sep = "\t", stringsAsFactors = FALSE, fill = TRUE, na.strings=c("", "NA"), blank.lines.skip = TRUE, quote = "") # Remove empty rows file <- file[!apply(is.na(file) | file == "", 1, all), , drop=FALSE] } return(file) } # Mapping IDs using file built from # - HUMAN_9606_idmapping_selected.tab # Tarball downloaded from ftp://ftp.uniprot.org/pub/databases/uniprot/current_release/knowledgebase/idmapping/by_organism/ # - nextprot_ac_list_all.txt # Downloaded from ftp://ftp.nextprot.org/pub/current_release/ac_lists/ # Available databases: # UNIPROT_AC: Uniprot accession number (e.g. P31946) # UNIPROT_ID: Uniprot identifiers (e.g 1433B_HUMAN) # GeneID_EntrezGene: Entrez gene ID (serie of digit) (e.g. 7529) # RefSeq: RefSeq (NCBI) protein (e.g. NP_003395.1; NP_647539.1; XP_016883528.1) # GI_number: GI (NCBI GI number) ID (serie of digits) assigned to each sequence record processed by NCBI (e.g; 21328448; 377656701; 67464627; 78101741) # PDB: Protein DataBank Identifiers (e.g. 2BR9:A; 3UAL:A; 3UBW:A) # GO_ID: GOterms (Gene Ontology) Identifiers (e.g. GO:0070062; GO:0005925; GO:0042470; GO:0016020; GO:0005739; GO:0005634) # PIR: Protein Information Resource ID (e.g. S34755) # OMIM: OMIM (Online Mendelian Inheritance in Man database) ID (serie of digits) (e.g: 601289) # UniGene: Unigene Identifier (e.g. Hs.643544) # Ensembl_ENSG: Ensembl gene identifiers (e.g. ENSG00000166913) # Ensembl_ENST: Ensembl transcript identifiers (e.g. ENST00000353703; ENST00000372839) # Ensembl_ENSP: Ensembl protein identifiers (e.g. ENSP00000300161; ENSP00000361930) mapping = function() { args <- commandArgs(TRUE) if(length(args)<1) { args <- c("--help") } # Help section if("--help" %in% args) { cat("Selection and Annotation HPA Arguments: --ref_file: path to reference file (human_id_mapping_file.txt) --input_type: type of input (list of id or filename) --id_type: type of input IDs --input: list of IDs (text or filename) --column_number: the column number which contains list of input IDs --header: true/false if your file contains a header --target_ids: target IDs to map to --output: output filename \n") q(save="no") } # Parse arguments parseArgs <- function(x) strsplit(sub("^--", "", x), "=") argsDF <- as.data.frame(do.call("rbind", parseArgs(args))) args <- as.list(as.character(argsDF$V2)) names(args) <- argsDF$V1 input_id_type = args$id_type # Uniprot, ENSG.... list_id_input_type = args$input_type # list or file options = strsplit(args$target_ids, ",")[[1]] output = args$output human_id_mapping_file = args$ref_file # Extract input IDs if (list_id_input_type == "list") { print(args$input) list_id = strsplit(args$input, "[ \t\n]+")[[1]] # Remove isoform accession number (e.g. "-2") list_id = gsub("-.+", "", list_id) } else if (list_id_input_type == "file") { filename = args$input column_number = as.numeric(gsub("c", "" ,args$column_number)) header = args$header file_all = readfile(filename, header) list_id = c() list_id = sapply(strsplit(file_all[,column_number], ";"), "[", 1) # Remove isoform accession number (e.g. "-2") list_id = gsub("-.+", "", list_id) } # Extract ID maps human_id_map = read.table(human_id_mapping_file, header = TRUE, sep = "\t", stringsAsFactors = FALSE, fill = TRUE, na.strings = "", quote = "") names = c() # Map IDs res = matrix(nrow=length(list_id), ncol=0) for (opt in options) { names = c(names, opt) mapped = human_id_map[match(list_id, human_id_map[input_id_type][,]),][opt][,] res = cbind(res, matrix(mapped)) } # Write output if (list_id_input_type == "list") { res = cbind(as.matrix(list_id), res) names = c(input_id_type, names) colnames(res) = names write.table(res, output, row.names = FALSE, sep = "\t", quote = FALSE) } else if (list_id_input_type == "file") { names(res) = options names = c(names(file_all), names) output_content = cbind(file_all, res) colnames(output_content) = names write.table(output_content, output, row.names = FALSE, sep = "\t", quote = FALSE) } } mapping() #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