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#' getGenomeAndMask
#'
#' @description
#' Function to obtain a valid genome and mask pair given a valid genome identifier and optionally a mask.
#'
#' If the genome is not a \code{\link{BSgenome}} object or a character string uniquely identifying a \code{\link{BSgenome}} package installed, it will return the genome "as is". If a mask is provided, it will simply return it. Otherwise it will return the mask returned by \code{\link{getMask}(genome)} or an empty mask if genome is not a valid \code{\link{BSgenome}} or \code{\link{BSgenome}} identifier.
#'
#' @note
#' This function is memoised (cached) using the \code{\link{memoise}} package. To empty the cache, use \code{\link{forget}(getGenomeAndMask)}
#'
#'
#' @usage getGenomeAndMask(genome, mask=NULL)
# @usage getGenomeAndMask(...)
#'
#' @param genome the genome object or genome identifier.
#' @param mask the mask of the genome in a valid RS format (data.frame, GRanges, BED-like file...). If mask is \code{\link{NULL}}, it will try to get a mask from the genome. If mask is \code{\link{NA}} it will return an empty mask. (Default=NULL)
#'
#' @return
#' A list with two elements: genome and mask. Genome and mask are GRanges objects.
#'
#' @seealso \code{\link{getMask}}, \code{\link{getGenome}}, \code{\link{characterToBSGenome}}, \code{\link{maskFromBSGenome}}, \code{\link{emptyCacheRegioneR}}
#'
#' @examples
#' getGenomeAndMask("hg19", mask=NA)
#'
#' getGenomeAndMask(genome=data.frame(c("chrA", "chrB"), c(15000000, 10000000)), mask=NA)
#'
#' @export getGenomeAndMask
getGenomeAndMask <- memoise::memoise(function(genome, mask=NULL) {
#if genome is a character, get it from the BS packages
if(is.character(genome)) {
genome <- characterToBSGenome(genome)
}
if(is(genome, "MaskedBSgenome") && is.null(mask)) {
mask <- getMask(genome)
} else {
#check if it seems to be a valid mask
# try to create a GRanges object with it, if it works, assume its valid. If not, return an empty mask
mask <- try(exp=toGRanges(mask), silent=TRUE)
if(!(is(mask, "GenomicRanges"))) {mask <- toGRanges(data.frame(chr=character(), start=numeric(), end=numeric())) }
}
genome <- getGenome(genome)
#finally, adjust the seqlevels of mask and genome
seqlevels(mask)<-seqlevels(genome)
levels(seqnames(mask))<-seqlevels(genome)
return(list(mask=mask, genome=genome))
})
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