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#' Summarize a bsseq dataset over defined regions
#'
#' Calls summarizeBsSeqOver to summarize a bsseq object over provided DNA
#' regions. Useful for exploring genomic data using cBioPortal.
#'
#' @param bsseq A bsseq object
#' @param regions A GRanges or GRangesList of regions
#' @param mappings A mapping table with rownames(mappings) == colnames(bsseq)
#' (DEFAULT: NULL)
#' @param nm Column of the mapping table to map to
#' (DEFAULT: "POETICname")
#' @param ... Other arguments to pass to summarizeBsSeqOver
#'
#' @return GRanges with summarized information about the bsseq object
#' for the given DNA regions
#'
#' @examples
#'
#' 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")
#' bisc <- readBiscuit(BEDfile = orig_bed, VCFfile = orig_vcf,
#' merged = FALSE)
#'
#' reg <- GRanges(seqnames = rep("chr11",5),
#' strand = rep("*",5),
#' ranges = IRanges(start = c(0,2.8e6,1.17e7,1.38e7,1.69e7),
#' end= c(2.8e6,1.17e7,1.38e7,1.69e7,2.2e7))
#' )
#' regions <- atRegions(bsseq = bisc, regions = reg)
#'
#' @export
#'
atRegions <- function(bsseq,
regions,
mappings = NULL,
nm = "POETICname",
...) {
regional <- summarizeBsSeqOver(bsseq, regions, ...)
regions <- regions[which(as.character(regions) %in% rownames(regional))]
regional <- regional[as.character(regions), ]
rownames(regional) <- names(regions)
if (!is.null(mappings)) colnames(regional) <- mappings[colnames(regional), nm]
out <- granges(regions)
mcols(out) <- regional
names(mcols(out)) <- c("summary")
return(out)
}
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