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#' Make an in-memory bsseq object from a biscuit BED
#'
#' Beware that any reasonably large BED files may not fit into memory!
#'
#' @param tbl A tibble (from read_tsv) or a data.table (from fread)
#' @param params Parameters from checkBiscuitBED
#' @param simplify Simplify sample names by dropping .foo.bar.hg19? (or
#' similar) (DEFAULT: FALSE)
#' @param verbose Print extra statements? (DEFAULT: FALSE)
#'
#' @return An in-memory bsseq object
#'
#' @import GenomicRanges
#' @import bsseq
#' @importFrom methods is as
#'
#' @examples
#'
#' library(data.table)
#' library(R.utils)
#'
#' orig_bed <- system.file("extdata", "MCF7_Cunha_chr11p15.bed.gz",
#' package="biscuiteer")
#' orig_vcf <- system.file("extdata", "MCF7_Cunha_header_only.vcf.gz",
#' package="biscuiteer")
#' params <- checkBiscuitBED(BEDfile = orig_bed, VCFfile = orig_vcf,
#' merged = FALSE, how = "data.table")
#'
#' select <- grep("\\.context", params$colNames, invert=TRUE)
#' tbl <- fread(gunzip(params$tbx$path, remove = FALSE), sep="\t", sep2=",",
#' fill=TRUE, na.strings=".", select=select)
#' unzippedName <- sub("\\.gz$", "", params$tbx$path)
#' if (file.exists(unzippedName)) {
#' file.remove(unzippedName)
#' }
#' if (params$hasHeader == FALSE) names(tbl) <- params$colNames[select]
#' names(tbl) <- sub("^#", "", names(tbl))
#'
#' tbl <- tbl[rowSums(is.na(tbl)) == 0, ]
#' bsseq <- makeBSseq(tbl = tbl, params = params)
#'
#' @export
#'
makeBSseq <- function(tbl,
params,
simplify = FALSE,
verbose = FALSE) {
gr <- resize(makeGRangesFromDataFrame(tbl[, c("chr","start","end")]), 1)
# helper fn
matMe <- function(x, gr, verbose = FALSE) {
if (!is(x, "matrix")) {
if (verbose) message("Turning a vector into a matrix...")
x <- as.matrix(x)
}
return(x)
}
# helper fn
fixNames <- function(x, gr, what=c("M","Cov"), verbose=FALSE) {
if (is.null(rownames(x))) {
if (verbose) message("Adding rownames...")
rownames(x) <- as.character(gr)
}
colnames(x) <- base::sub("beta", match.arg(what), colnames(x))
return(x)
}
# deal with data.table weirdness
if (params$how == "data.table") {
M <- matMe(fixNAs(
round(tbl[,params$betaCols, with=FALSE]*tbl[,params$covgCols,
with=FALSE]),
y=0,params$sparse), gr)
Cov <- matMe(fixNAs(tbl[, params$covgCols,with=FALSE], y=0, params$sparse),
gr)
} else {
M <- matMe(x=fixNAs(round(tbl[,params$betaCols]*tbl[,params$covgCols]),
y=0, params$sparse),
gr=gr, verbose=verbose)
Cov <- matMe(x=fixNAs(tbl[, params$covgCols], y=0, params$sparse),
gr=gr, verbose=verbose)
}
Cov <- fixNames(Cov, gr, what="Cov", verbose=verbose)
M <- fixNames(M, gr, what="M", verbose=verbose)
colnames(Cov) <- colnames(M) <- params$pData$sampleNames
if (verbose) message("Creating bsseq object...")
res <- BSseq(gr=gr, M=M, Cov=Cov, pData=params$pData,
rmZeroCov=TRUE, sampleNames=params$pData$sampleNames)
if (simplify) res <- simplifySampleNames(res)
return(res)
}
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