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#' Find the taxonomy for the given taxon id name
#'
#' @param pstat pathostat object
#' @param input.id.vec names containing id
#' @param tax.level target taxon level
#' @return target taxon level names
#' @export
#' @examples
#' data_dir_test <- system.file("data", package = "PathoStat")
#' pstat_test <- loadPstat(indir=data_dir_test,
#' infileName="pstat_data_2_L1.rda")
#' names.new <- TranslateIdToTaxLevel(pstat_test,
#' c("ti|862962|org|Bacteroides_fragilis_638R",
#' "ti|697329|org|Ruminococcus_albus_7" ),
#' "genus")
TranslateIdToTaxLevel <- function(pstat, input.id.vec, tax.level){
tax.df <- pstat@tax_table@.Data
name.out <- as.character(tax.df[match(input.id.vec, rownames(tax.df)),
which(colnames(tax.df) == tax.level)])
return(name.out)
}
#' Find the taxonomy for maximum 300 tids
#'
#' @param tids Given taxonomy ids
#' @return taxondata Data with the taxonomy information
#' @import rentrez
#' @export
#' @examples
#' example_data_dir <- system.file("example/data", package = "PathoStat")
#' pathoreport_file_suffix <- "-sam-report.tsv"
#' datlist <- readPathoscopeData(example_data_dir,
#' pathoreport_file_suffix, input.files.name.vec = as.character(1:6))
#' dat <- datlist$data
#' ids <- rownames(dat)
#' tids <- unlist(lapply(ids, FUN = grepTid))
#' # taxonLevels <- findTaxonomy300(tids[1:5])
findTaxonomy300 <- function(tids) {
if (is.null(tids)) {
return(NULL)
}
na.vec <- c()
for (i in seq_len(length(tids))){
if(is.na(tids[i])){
na.vec <- c(na.vec, i)
}
}
r_fetch <- entrez_fetch(db = "taxonomy", id = tids, rettype = "xml")
dat <- XML::xmlToList(r_fetch)
taxonLevels <- lapply(dat, function(x) x$LineageEx)
if(!is.null(na.vec)){
for(i in seq_len(length(na.vec))){
taxonLevels <- append(taxonLevels, list(NA), na.vec[i]-1)
}
}
return(taxonLevels)
}
#' Find the taxonomy for unlimited tids
#'
#' @param tids Given taxonomy ids
#' @return taxondata Data with the taxonomy information
#' @import rentrez
#' @export
#' @examples
#' example_data_dir <- system.file("example/data", package = "PathoStat")
#' pathoreport_file_suffix <- "-sam-report.tsv"
#' datlist <- readPathoscopeData(example_data_dir, pathoreport_file_suffix,
#' input.files.name.vec = as.character(1:6))
#' dat <- datlist$data
#' ids <- rownames(dat)
#' tids <- unlist(lapply(ids, FUN = grepTid))
#' # taxonLevels <- findTaxonomy(tids[1:5])
findTaxonomy <- function(tids) {
if (is.null(tids)) {
return(NULL)
}
if (length(tids) <= 300){
taxonLevels <- findTaxonomy300(tids)
} else{
taxonLevels <- list()
batch.num <- ceiling(length(tids)/300)
for (i in seq_len(batch.num)){
if (i == batch.num){
tids.batch <- tids[((i-1)*300 + 1):length(tids)]
}else{
tids.batch <- tids[((i-1)*300 + 1):(i*300)]
}
taxonLevels <- c(taxonLevels, findTaxonomy300(tids.batch))
print(i)
}
}
return(taxonLevels)
}
findSelectedTaxonId <- function(tLineageEx, level) {
id <- "others"
if (is.null(tLineageEx)) {
return(id)
}
if (is.na(tLineageEx[1])) {
return(id)
}
for (i in seq_len(length(tLineageEx))) {
rank <- tLineageEx[[i]]["Rank"]
scientificName <- tLineageEx[[i]]["ScientificName"]
taxid <- tLineageEx[[i]]["TaxId"]
if (!is.null(rank)) {
if (rank == level) {
id <- paste0("ti|", taxid, "|", rank, "|", scientificName)
break
}
}
}
return(id)
}
findTaxonLevels <- function(data) {
ids <- rownames(data)
tids <- unlist(lapply(ids, FUN = grepTid))
taxonLevels <- findTaxonomy(tids)
return(taxonLevels)
}
taxon_hash_update <- function(taxon_hash, taxon, length) {
if (is.null(taxon_hash)) {
taxon_hash <- new.env()
}
index <- length + 1
newrow <- FALSE
if (is.null(taxon_hash[[as.character(taxon)]])) {
taxon_hash[[as.character(taxon)]] <- index
length <- length + 1
newrow <- TRUE
} else {
index <- taxon_hash[[as.character(taxon)]]
}
return(list(taxon_hash = taxon_hash, length = length, index = index,
newrow = newrow))
}
#' Find the Taxonomy Information Matrix
#'
#' @param names Row names of the taxonomy matrix
#' @param taxonLevels Taxon Levels of all tids
#' @return taxmat Taxonomy Information Matrix
#' @export
#' @examples
#' example_data_dir <- system.file("example/data", package = "PathoStat")
#' pathoreport_file_suffix <- "-sam-report.tsv"
#' datlist <- readPathoscopeData(example_data_dir, pathoreport_file_suffix,
#' input.files.name.vec = as.character(1:6))
#' dat <- datlist$data
#' ids <- rownames(dat)
#' tids <- unlist(lapply(ids, FUN = grepTid))
#' # taxonLevels <- findTaxonomy(tids[1:5])
#' # taxmat <- findTaxonMat(ids[1:5], taxonLevels)
findTaxonMat <- function(names, taxonLevels) {
# tax.name <- c('superkingdom', 'kingdom', 'phylum', 'class', 'order',
# 'suborder', 'family', 'subfamily', 'genus', 'subgenus', 'species',
# 'subspecies', 'no rank')
tax.name <- c('superkingdom', 'kingdom', 'phylum', 'class', 'order',
'family', 'genus', 'species', 'no rank')
tl <- c()
for (i in seq_len(length(tax.name))) {
tl[tax.name[i]] <- "others"
}
taxmat <- NULL
for (i in seq_len(length(taxonLevels))) {
taxrow <- tl
tLineageEx <- taxonLevels[[i]]
for (j in seq_len(length(tLineageEx))) {
rank <- tLineageEx[[j]]["Rank"]
#taxid <- tLineageEx[[j]]["TaxId"]
scientificName <- tLineageEx[[j]]["ScientificName"]
if (!is.null(rank) && !is.na(rank) && rank %in% tax.name) {
#taxrow[as.character(rank)] <- as.character(taxid)
taxrow[as.character(rank)] <- as.character(scientificName)
}
}
taxmat <- rbind(taxmat, taxrow)
}
rownames(taxmat) <- names
#print(taxmat)
return(taxmat)
}
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