Mercurial > repos > proteore > proteore_kegg_pathways_coverage
annotate kegg_identification.R @ 4:1fb202eb3609 draft
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| author | proteore | 
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| date | Fri, 24 Jan 2020 05:18:58 -0500 | 
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changeset | 1 options(warn=-1) #TURN OFF WARNINGS !!!!!! | 
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changeset | 2 | 
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changeset | 3 suppressMessages(library(KEGGREST)) | 
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changeset | 4 | 
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changeset | 5 get_args <- function(){ | 
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changeset | 6 | 
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changeset | 7 ## Collect arguments | 
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changeset | 8 args <- commandArgs(TRUE) | 
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changeset | 9 | 
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changeset | 10 ## Default setting when no arguments passed | 
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changeset | 11 if(length(args) < 1) { | 
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changeset | 12 args <- c("--help") | 
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changeset | 13 } | 
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changeset | 14 | 
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changeset | 15 ## Help section | 
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changeset | 16 if("--help" %in% args) { | 
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changeset | 17 cat("Pathview R script | 
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changeset | 18 Arguments: | 
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changeset | 19 --help Print this test | 
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changeset | 20 --input tab file | 
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changeset | 21 --id_list id list ',' separated | 
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changeset | 22 --id_type type of input ids (kegg-id, uniprot_AC,geneID) | 
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changeset | 23 --id_column number og column containg ids of interest | 
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changeset | 24 --nb_pathways number of pathways to return | 
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changeset | 25 --header boolean | 
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changeset | 26 --output output path | 
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changeset | 27 --species species used to get specific pathways (hsa,mmu,rno) | 
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changeset | 28 | 
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changeset | 29 Example: | 
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changeset | 30 Rscript keggrest.R --input='P31946,P62258' --id_type='uniprot' --id_column 'c1' --header TRUE \n\n") | 
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changeset | 31 | 
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changeset | 32 q(save="no") | 
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changeset | 33 } | 
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changeset | 34 | 
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changeset | 35 parseArgs <- function(x) strsplit(sub("^--", "", x), "=") | 
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changeset | 36 argsDF <- as.data.frame(do.call("rbind", parseArgs(args))) | 
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changeset | 37 args <- as.list(as.character(argsDF$V2)) | 
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changeset | 38 names(args) <- argsDF$V1 | 
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changeset | 39 | 
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changeset | 40 return(args) | 
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changeset | 41 } | 
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changeset | 42 | 
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changeset | 43 str2bool <- function(x){ | 
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changeset | 44 if (any(is.element(c("t","true"),tolower(x)))){ | 
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changeset | 45 return (TRUE) | 
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changeset | 46 }else if (any(is.element(c("f","false"),tolower(x)))){ | 
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changeset | 47 return (FALSE) | 
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changeset | 48 }else{ | 
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changeset | 49 return(NULL) | 
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changeset | 50 } | 
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changeset | 51 } | 
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changeset | 52 | 
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changeset | 53 read_file <- function(path,header){ | 
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changeset | 54 file <- try(read.csv(path,header=header, sep="\t",stringsAsFactors = FALSE, quote="\"", check.names = F),silent=TRUE) | 
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changeset | 55 if (inherits(file,"try-error")){ | 
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changeset | 56 stop("File not found !") | 
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changeset | 57 }else{ | 
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changeset | 58 return(file) | 
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changeset | 59 } | 
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changeset | 60 } | 
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changeset | 61 | 
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changeset | 62 get_pathways_list <- function(species){ | 
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changeset | 63 ##all available pathways for the species | 
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changeset | 64 pathways <-keggLink("pathway", species) | 
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changeset | 65 tot_path<-unique(pathways) | 
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changeset | 66 | 
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changeset | 67 ##formating the dat into a list object | 
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changeset | 68 ##key= pathway ID, value = genes of the pathway in the kegg format | 
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changeset | 69 pathways_list <- sapply(tot_path, function(pathway) names(which(pathways==pathway))) | 
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changeset | 70 return (pathways_list) | 
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changeset | 71 } | 
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changeset | 72 | 
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changeset | 73 get_list_from_cp <-function(list){ | 
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changeset | 74 list = strsplit(list, "[ \t\n]+")[[1]] | 
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changeset | 75 list = gsub("[[:blank:]]|\u00A0|NA","",list) | 
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changeset | 76 list = list[which(!is.na(list[list != ""]))] #remove empty entry | 
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changeset | 77 list = unique(gsub("-.+", "", list)) #Remove isoform accession number (e.g. "-2") | 
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changeset | 78 return(list) | 
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changeset | 79 } | 
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changeset | 80 | 
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changeset | 81 geneID_to_kegg <- function(vector,species){ | 
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changeset | 82 vector <- sapply(vector, function(x) paste(species,x,sep=":"),USE.NAMES = F) | 
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changeset | 83 return (vector) | 
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changeset | 84 } | 
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changeset | 85 | 
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changeset | 86 to_keggID <- function(id_list,id_type){ | 
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changeset | 87 if (id_type == "ncbi-geneid") { | 
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changeset | 88 id_list <- unique(geneID_to_kegg(id_list,args$species)) | 
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changeset | 89 } else if (id_type=="uniprot"){ | 
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changeset | 90 id_list <- unique(sapply(id_list, function(x) paste(id_type,":",x,sep=""),USE.NAMES = F)) | 
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changeset | 91 if (length(id_list)>250){ | 
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changeset | 92 id_list <- split(id_list, ceiling(seq_along(id_list)/250)) | 
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changeset | 93 id_list <- sapply(id_list, function(x) keggConv("genes",x)) | 
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changeset | 94 id_list <- unique(unlist(id_list)) | 
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changeset | 95 } else { | 
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changeset | 96 id_list <- unique(keggConv("genes", id_list)) | 
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changeset | 97 } | 
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changeset | 98 } else if (id_type=="kegg-id") { | 
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changeset | 99 id_list <- unique(id_list) | 
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changeset | 100 } | 
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changeset | 101 return (id_list) | 
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changeset | 102 } | 
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changeset | 103 | 
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changeset | 104 #take data frame, return data frame | 
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changeset | 105 split_ids_per_line <- function(line,ncol){ | 
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changeset | 106 | 
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changeset | 107 #print (line) | 
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changeset | 108 header = colnames(line) | 
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changeset | 109 line[ncol] = gsub("[[:blank:]]|\u00A0","",line[ncol]) | 
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changeset | 110 | 
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changeset | 111 if (length(unlist(strsplit(as.character(line[ncol]),";")))>1) { | 
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changeset | 112 if (length(line)==1 ) { | 
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changeset | 113 lines = as.data.frame(unlist(strsplit(as.character(line[ncol]),";")),stringsAsFactors = F) | 
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changeset | 114 } else { | 
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changeset | 115 if (ncol==1) { #first column | 
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changeset | 116 lines = suppressWarnings(cbind(unlist(strsplit(as.character(line[ncol]),";")), line[2:length(line)])) | 
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changeset | 117 } else if (ncol==length(line)) { #last column | 
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changeset | 118 lines = suppressWarnings(cbind(line[1:ncol-1],unlist(strsplit(as.character(line[ncol]),";")))) | 
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changeset | 119 } else { | 
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changeset | 120 lines = suppressWarnings(cbind(line[1:ncol-1], unlist(strsplit(as.character(line[ncol]),";"),use.names = F), line[(ncol+1):length(line)])) | 
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changeset | 121 } | 
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changeset | 122 } | 
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changeset | 123 colnames(lines)=header | 
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changeset | 124 return(lines) | 
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changeset | 125 } else { | 
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changeset | 126 return(line) | 
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changeset | 127 } | 
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changeset | 128 } | 
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changeset | 129 | 
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changeset | 130 #create new lines if there's more than one id per cell in the columns in order to have only one id per line | 
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changeset | 131 one_id_one_line <-function(tab,ncol){ | 
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changeset | 132 | 
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changeset | 133 if (ncol(tab)>1){ | 
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changeset | 134 | 
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changeset | 135 tab[,ncol] = sapply(tab[,ncol],function(x) gsub("[[:blank:]]","",x)) | 
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changeset | 136 header=colnames(tab) | 
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changeset | 137 res=as.data.frame(matrix(ncol=ncol(tab),nrow=0)) | 
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changeset | 138 for (i in 1:nrow(tab) ) { | 
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changeset | 139 lines = split_ids_per_line(tab[i,],ncol) | 
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changeset | 140 res = rbind(res,lines) | 
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changeset | 141 } | 
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changeset | 142 }else { | 
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changeset | 143 res = unlist(sapply(tab[,1],function(x) strsplit(x,";")),use.names = F) | 
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changeset | 144 res = data.frame(res[which(!is.na(res[res!=""]))],stringsAsFactors = F) | 
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changeset | 145 colnames(res)=colnames(tab) | 
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changeset | 146 } | 
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changeset | 147 return(res) | 
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changeset | 148 } | 
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changeset | 149 | 
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changeset | 150 kegg_mapping<- function(kegg_id_list,id_type,ref_ids) { | 
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changeset | 151 | 
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changeset | 152 #mapping | 
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changeset | 153 map<-lapply(ref_ids, is.element, unique(kegg_id_list)) | 
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changeset | 154 names(map) <- sapply(names(map), function(x) gsub("path:","",x),USE.NAMES = FALSE) #remove the prefix "path:" | 
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changeset | 155 | 
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changeset | 156 in.path<-sapply(map, function(x) length(which(x==TRUE))) | 
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changeset | 157 tot.path<-sapply(map, length) | 
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changeset | 158 | 
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changeset | 159 ratio <- (as.numeric(in.path[which(in.path!=0)])) / (as.numeric(tot.path[which(in.path!=0)])) | 
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changeset | 160 ratio <- as.numeric(format(round(ratio*100, 2), nsmall = 2)) | 
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changeset | 161 | 
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changeset | 162 ##useful but LONG | 
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changeset | 163 ## to do before : in step 1 | 
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changeset | 164 path.names<-names(in.path[which(in.path!=0)]) | 
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changeset | 165 name <- sapply(path.names, function(x) keggGet(x)[[1]]$NAME,USE.NAMES = FALSE) | 
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changeset | 166 | 
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changeset | 167 res<-data.frame(I(names(in.path[which(in.path!=0)])), I(name), ratio, as.numeric(in.path[which(in.path!=0)]), as.numeric(tot.path[which(in.path!=0)])) | 
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changeset | 168 res <- res[order(as.numeric(res[,3]),decreasing = TRUE),] | 
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changeset | 169 colnames(res)<-c("pathway_ID", "Description" , "Ratio IDs mapped/total IDs (%)" ,"nb KEGG genes IDs mapped in the pathway", "nb total of KEGG genes IDs present in the pathway") | 
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changeset | 170 | 
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changeset | 171 return(res) | 
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changeset | 172 | 
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changeset | 173 } | 
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changeset | 174 | 
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changeset | 175 #get args from command line | 
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changeset | 176 args <- get_args() | 
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changeset | 177 | 
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changeset | 178 #save(args,file="/home/dchristiany/proteore_project/ProteoRE/tools/kegg_identification/args.Rda") | 
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changeset | 179 #load("/home/dchristiany/proteore_project/ProteoRE/tools/kegg_identification/args.Rda") | 
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changeset | 180 | 
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changeset | 181 ###setting variables | 
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changeset | 182 header = str2bool(args$header) | 
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changeset | 183 if (!is.null(args$id_list)) {id_list <- get_list_from_cp(args$id_list)} #get ids from copy/paste input | 
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changeset | 184 if (!is.null(args$input)) { #get ids from input file | 
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changeset | 185 csv <- read_file(args$input,header) | 
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changeset | 186 ncol <- as.numeric(gsub("c", "" ,args$id_column)) | 
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changeset | 187 csv <- one_id_one_line(csv,ncol) | 
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changeset | 188 id_list <- as.vector(csv[,ncol]) | 
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changeset | 189 id_list <- unique(id_list[which(!is.na(id_list[id_list!=""]))]) | 
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changeset | 190 } | 
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changeset | 191 | 
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changeset | 192 #convert to keggID if needed | 
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changeset | 193 id_list <- to_keggID(id_list,args$id_type) | 
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changeset | 194 | 
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changeset | 195 #get pathways of species with associated KEGG ID genes | 
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changeset | 196 pathways_list <- get_pathways_list(args$species) | 
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changeset | 197 | 
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changeset | 198 #mapping on pathways | 
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changeset | 199 res <- kegg_mapping(id_list,args$id_type,pathways_list) | 
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changeset | 200 if (nrow(res) > as.numeric(args$nb_pathways)) { res <- res[1:args$nb_pathways,] } | 
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changeset | 201 | 
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changeset | 202 write.table(res, file=args$output, quote=FALSE, sep='\t',row.names = FALSE, col.names = TRUE) | 
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changeset | 203 | 
