Nothing
human_builds <- function() {
S4Vectors::DataFrame(
Date = c("July 2004", "May 2004", "March 2006", "February 2009",
"December 2013"),
NCBI_PRE = c("NCBI", "NCBI", "NCBI", "GRCh", "GRCh"),
NCBI_NO = c("34", "35", "36", "37", "38"),
NCBI = c("NCBI34", "NCBI35", "NCBI36", "GRCh37", "GRCh38"),
UCSC_PRE = c("hg", "hg", "hg", "hg", "hg"),
UCSC_NO = c("16", "17", "18", "19", "38"),
UCSC = c("hg16", "hg17", "hg18", "hg19", "hg38")
)
}
#' @name builds
#'
#' @title Utilities for working with *HUMAN* genome builds
#'
#' @description A few functions are available to search for build versions,
#' either from NCBI or UCSC.
#'
#' \itemize{
#' \item \code{translateBuild}: translates between UCSC and NCBI build
#' versions
#' \item \code{extractBuild}: use grep patterns to find the first build
#' within the string input
#' \item \code{uniformBuilds}: replace build occurrences below a threshold
#' level of occurence with the alternative build
#' \item \code{correctBuild}: Ensure that the build annotation is correct
#' based on the NCBI/UCSC website
#' \item \code{isCorrect}: Check to see if the build is exactly as annotated
#' }
#'
#' @details The `correctBuild` function takes the input and ensures that
#' the style specified matches the input. Otherwise, it will
#' return the correct style for use with `seqlevelsStyle`.
#' Currently, the function does not support patched builds
#' (e.g., 'GRCh38.p13') Build names are taken from the website:
#' \url{https://www.ncbi.nlm.nih.gov/assembly/GCF_000001405.26/}
#'
#' @param from character() A vector of build versions typically from `genome()`
#' (e.g., "37"). The build vector must be homogenous (i.e.,
#' `length(unique(x)) == 1L`).
#'
#' @param to character(1) The name of the desired build version (either "UCSC"
#' or "NCBI"; default: "UCSC")
#'
#' @param build character(1) A string providing the genome build
#'
#' @param style character(1) The annotation style, either 'UCSC' or 'NCBI'
#'
#' @examples
#'
#' translateBuild("GRCh35", "UCSC")
#'
#' @return
#' translateBuild: A character vector of translated genome builds
#'
#' extractBuild: A character string of the build information available
#'
#' uniformBuilds: A character vector of builds where all builds are
#' identical `identical(length(unique(build)), 1L)`
#'
#' correctBuild: A character string of the 'corrected' build name
#'
#' isCorrect: A logical indicating if the build is exactly as annotated
#'
#' @export
translateBuild <- function(from, to = c("UCSC", "NCBI")) {
lfro <- length(from)
from <- unique(from)
if (!.isSingleValue(from))
stop("Enter a consistent vector of genomic builds")
to <- match.arg(to)
buildDF <- human_builds()
bnames <- c("UCSC", "NCBI")
from_build <- bnames[bnames != to]
bfrom <- correctBuild(from, from_build)
buildIndex <- match(bfrom, buildDF[[from_build]])
rep(buildDF[[to]][buildIndex], lfro)
}
#' @rdname builds
#'
#' @param build character(1) A string providing the genome build
#'
#' @param style character(1) The annotation style, either 'UCSC' or 'NCBI'
#'
#' @examples
#'
#' correctBuild("grch38", "NCBI")
#'
#' @export
correctBuild <- function(build, style = c("UCSC", "NCBI")) {
build.df <- human_builds()
pre <- paste0(style, "_PRE")
digits <- as.character(gsub(".*([[:digit:]]{2})", "\\1", build))
pref <- gsub("(.*)([[:digit:]]{2})", "\\1", build)
if (identical(tolower(pref), "hg") && identical(style, "NCBI"))
stop("<internal> Incorrect build")
if (
tolower(pref) %in% tolower(build.df[["NCBI_PRE"]]) &&
identical(style, "UCSC")
)
stop("<internal> Incorrect build")
idx <- match(digits, build.df[[paste0(style, "_NO")]])
if (is.na(idx))
return(NA_character_)
num <- build.df[[paste0(style, "_NO")]][idx]
pref <- build.df[[pre]][idx]
paste0(pref, num)
}
#' @rdname builds
#'
#' @examples
#'
#' isCorrect("GRCh38", "NCBI")
#'
#' @export
isCorrect <- function(build, style = c("UCSC", "NCBI")) {
identical(
correctBuild(build, style),
build
)
}
#' @rdname builds
#'
#' @param string A single character string
#' @param build A vector of build version names (default UCSC, NCBI)
#'
#' @examples
#'
#' extractBuild(
#' "SCENA_p_TCGAb29and30_SNP_N_GenomeWideSNP_6_G05_569110.nocnv_grch38.seg.txt"
#' )
#'
#' @export
extractBuild <- function(string, build = c("UCSC", "NCBI")) {
if (!S4Vectors::isSingleString(string))
stop("Provide a single string for build search")
builds <- vector(mode = "character", length(build))
names(builds) <- build
for (i in build) {
pattrn <- switch(i, UCSC = "[Hh][Gg][0-9]{2}",
NCBI = "[Gg][Rr][Cc][Hh][0-9]{2}")
builds[[i]] <- stringr::str_extract(string, pattrn)
}
builds <- Filter(function(x) !is.na(x), builds)
if (!length(builds))
NA_character_
else if (length(builds))
builds[1L]
}
.isSingleValue <- function(charvec) {
identical(length(unique(charvec)), 1L)
}
.consistentNumbers <- function(charvec) {
bnos <- gsub("(.*)([0-9]{2})", "\\2", charvec)
.isSingleValue(bnos)
}
.replaceHighProp <- function(charvec) {
tt <- table(charvec)
if (length(tt) > 2L)
stop("<internal> Table has more than 2 values")
proptt <- prop.table(tt)
highprop <- names(which.max(proptt))
charvec[charvec != highprop] <- highprop
charvec
}
#' @rdname builds
#'
#' @param builds A character vector of builds
#'
#' @param cutoff numeric(1L) An inclusive threshold tolerance value for missing
#' values and translating builds that are below the threshold
#'
#' @param na character() The values to be considered as missing (default:
#' c("", "NA"))
#'
#' @examples
#'
#' buildvec <- rep(c("GRCh37", "hg19"), times = c(5, 1))
#' uniformBuilds(buildvec)
#'
#' navec <- c(rep(c("GRCh37", "hg19"), times = c(5, 1)), "NA")
#' uniformBuilds(navec)
#'
#' @export uniformBuilds
uniformBuilds <- function(builds, cutoff = 0.2, na = c("", "NA")) {
tbuild <- table(builds)
if (.consistentNumbers(builds)) {
if (identical(length(tbuild), 1L))
return(builds)
else
builds <- .replaceHighProp(builds)
}
wbuilds <- toupper(builds)
nabuilds <- wbuilds %in% na | is.na(wbuilds)
wbuilds[nabuilds] <- NA_character_
tt <- table(wbuilds, useNA = "always")
proptt <- prop.table(tt)
uvals <- names(proptt)
nanames <- is.na(uvals)
propna <- proptt[nanames]
if (propna >= cutoff)
stop("Frequency of NA values higher than the cutoff tolerance")
ubuilds <- uvals[!nanames]
if (.isSingleValue(ubuilds)) {
builds[nabuilds] <- ubuilds
return(builds)
} else if (sum(!nanames) > 2)
stop("Only two build types at a time can be used")
props <- proptt[!nanames]
offbuild <- names(props[props <= cutoff])
mainbuild <- names(props[props > cutoff])
mainbuild <- builds[match(mainbuild, toupper(builds))]
if (any(nabuilds))
builds[nabuilds] <- mainbuild
samebuilds <- .consistentNumbers(builds)
if (samebuilds) {
builds[wbuilds == offbuild] <- mainbuild
} else {
pattrn <- vapply(
c(UCSC = "[Hh][Gg][0-9]{2}", NCBI = "[Gg][Rr][Cc][Hh][0-9]{2}"),
grepl, logical(1L), offbuild)
toconv <- names(pattrn)[!pattrn]
results <- translateBuild(offbuild, toconv)
builds[wbuilds == offbuild] <- results
}
builds
}
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