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#' @export
#' @importFrom IRanges findOverlaps
#' @importFrom S4Vectors queryHits subjectHits
findOverlapsList <- function(ranges.list, regions, ...) {
all.ranges <- do.call(c, lapply(ranges.list, .toGRanges))
mcols(all.ranges) <- NULL
all.ranges$origin <- rep(seq_along(ranges.list), lengths(ranges.list))
olaps <- findOverlaps(query=regions, subject=all.ranges, ...)
# Computing weights inversely proportional to the number of windows of each width in each region.
by.origin <- split(seq_along(olaps), all.ranges$origin[subjectHits(olaps)])
rel.weights <- numeric(length(olaps))
for (i in seq_along(by.origin)) {
indices <- by.origin[[i]]
curid <- queryHits(olaps)[indices]
rel.weights[indices] <- (1/tabulate(curid))[curid]
}
list(ranges=all.ranges, overlaps=olaps, weights=rel.weights)
}
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