Nothing
boxPairs <- function(..., reference, minbox=FALSE, index.only=FALSE)
# This function reports bin pairs that are nested within other bin pairs. The
# idea is to consolidate smaller bin pairs into their larger counterparts for
# summarization of analyses involving multiple bin sizes.
#
# written by Aaron Lun
# created 3 June 2014
# last modified 14 May 2017
{
all.hits <- list(...)
lapply(all.hits, FUN=.check_StrictGI)
nk <- length(all.hits)
if (missing(reference)) {
reference <- max(sapply(all.hits, FUN=function(x) { metadata(x)$width }))
}
param <- metadata(all.hits[[1]])$param
fragments <- param$fragments
for (x in all.hits[-1]) {
curfrag <- metadata(x)$param$fragments
if (length(curfrag)!=length(fragments) || any(curfrag!=fragments)) {
stop("fragment boundaries should be the same between InteractionSet objects")
}
}
if (.isDNaseC(fragments=fragments)) {
parents <- .createBins(param, reference, restricted=FALSE)$region
} else {
parents <- .assignBins(param, reference, restricted=FALSE)$region
}
# Collating all results in terms of parents.
all.a <- all.t <- all.mode <- all.idx <- num.pairs <- vector("list", nk)
seq.it.nk <- seq_len(nk)
for (x in seq.it.nk) {
current <- all.hits[[x]]
ncur <- nrow(current)
olap <- findOverlaps(regions(current), parents, type="within", select="first")
if (any(is.na(olap))) { stop("smaller bins must be fully contained within larger bins") }
all.a[[x]] <- olap[anchors(current, type="first", id=TRUE)]
all.t[[x]] <- olap[anchors(current, type="second", id=TRUE)]
all.mode[[x]] <- rep(x, ncur)
all.idx[[x]] <- seq_len(ncur)
num.pairs[[x]] <- ncur
}
all.a <- unlist(all.a)
all.t <- unlist(all.t)
all.mode <- unlist(all.mode)
all.idx <- unlist(all.idx)
num.pairs <- unlist(num.pairs)
# Ordering by anchor, target.
o <- order(all.a, all.t)
all.a <- all.a[o]
all.t <- all.t[o]
all.mode <- all.mode[o]
all.idx <- all.idx[o]
is.diff <- c(TRUE, diff(all.a)!=0L | diff(all.t)!=0L)
now.index <- cumsum(is.diff)
by.mode <- split(seq_along(is.diff), all.mode)
indices <- vector("list", nk)
for (x in seq.it.nk) {
chosen <- by.mode[[as.character(x)]]
current.out <- integer(length(chosen))
current.out[all.idx[chosen]] <- now.index[chosen]
indices[[x]] <- current.out
}
names(indices) <- names(all.hits)
if (index.only) {
return(indices)
}
# Selecting the boundaries to report.
if (minbox) {
a.chrs <- a.starts <- a.ends <- t.chrs <- t.starts <- t.ends <- vector("list", nk)
for (x in seq.it.nk) {
current <- all.hits[[x]]
aid <- anchors(current, type="first", id=TRUE)
tid <- anchors(current, type="second", id=TRUE)
rstarts <- start(regions(current))
rends <- end(regions(current))
rchrs <- as.character(seqnames(regions(current)))
a.chrs[[x]] <- rchrs[aid]
a.starts[[x]] <- rstarts[aid]
a.ends[[x]] <- rends[aid] + 1L
t.chrs[[x]] <- rchrs[tid]
t.starts[[x]] <- rstarts[tid]
t.ends[[x]] <- rends[tid] + 1L
}
boxed <- .minBoundingBox(unlist(indices), unlist(a.chrs), unlist(a.starts), unlist(a.ends),
unlist(t.chrs), unlist(t.starts), unlist(t.ends), seqinfo(parents))
output <- GInteractions(boxed$anchors, boxed$targets, mode="reverse")
} else {
output <- GInteractions(all.a[is.diff], all.t[is.diff], parents, mode="reverse")
}
return(list(indices=indices, interactions=output))
}
.check_StrictGI <- function(x) {
if (!is(x, "InteractionSet")) {
stop("input object must be an InteractionSet")
}
if (!is(interactions(x), "ReverseStrictGInteractions")) {
stop("'interactions' slot of InteractionSet must be a 'ReverseStrictGInteractions'")
}
invisible(return(NULL))
}
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