#' Dump data as bigWig tracks for (e.g.) igv.js (which can't handle multiGCTs)
#'
#' @param x a RangedSummarizedExperiment-like object of some sort
#' @param assay name or index of an assay to dump (default: assays(x)[[1]])
#' @param genome (optional) genome to use (default: look in genome(x))
#' @param onlycg (optional) only dump CpG probes (for methylation)? (TRUE)
#'
#' @return list a list of filenames dumped
#'
#' @import rtracklayer
#'
#' @export
assayToBigWigs <- function(x, assay=1, genome=NULL, onlycg=TRUE) {
if (is.null(genome)) genome <- unique(genome(x))
if (length(genome) == 0) stop("No genome specified or provided")
if (length(genome) > 1) stop("Multiple genomes detected or provided")
if (is.null(assay)) assay <- 1
if (onlycg & length(grep("^cg", rownames(x))) > 1) {
x <- x[grep("^cg", rownames(x)), ]
}
gr <- granges(x)
for (i in colnames(x)) {
gr$score <- getBeta(x)[, i]
filename <- paste(colnames(x)[i], g, "bw", sep=".")
export(gr, filename)
filenames <- append(filenames, filename)
}
invisible(filenames)
}
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