###
findOverlaps_GNCList <- GenomicRangesGHA:::findOverlaps_GNCList
### We need some of the helper functions defined for the NCList unit tests
### in IRanges.
source(system.file("unitTests", "test_NCList-class.R", package="IRanges"))
.get_query_overlaps2 <- function(query, subject,
maxgap=-1L, minoverlap=0L,
type=c("any", "start", "end", "within", "extend", "equal"),
ignore.strand=FALSE)
{
ok <- .get_query_overlaps(query, subject,
maxgap=maxgap, minoverlap=minoverlap,
type=type)
ok <- ok & seqnames(query) == seqnames(subject)
if (ignore.strand || as.logical(strand(query) == "*"))
return(ok)
ok & (strand(subject) == "*" | strand(query) == strand(subject))
}
### Redefine the .findOverlaps_naive() function we got from sourcing
### test_NCList-class.R above.
.findOverlaps_naive <- function(query, subject,
maxgap=-1L, minoverlap=0L,
type=c("any", "start", "end",
"within", "extend", "equal"),
select=c("all", "first", "last", "arbitrary",
"count"),
ignore.strand=FALSE)
{
type <- match.arg(type)
select <- match.arg(select)
hits_per_query <- lapply(seq_along(query),
function(i)
which(.get_query_overlaps2(query[i], subject,
maxgap=maxgap, minoverlap=minoverlap,
type=type, ignore.strand=ignore.strand)))
hits <- .make_Hits_from_q2s(hits_per_query, length(subject))
selectHits(hits, select=select)
}
test_GNCList <- function()
{
x <- GRanges(Rle(c("chrM", "chr1", "chrM", "chr1"), 4:1),
IRanges(1:10, width=5, names=LETTERS[1:10]),
strand=rep(c("+", "-"), 5),
score=seq(0.7, by=0.045, length.out=10))
gnclist <- GNCList(x)
checkTrue(is(gnclist, "GNCList"))
checkTrue(validObject(gnclist, complete=TRUE))
checkIdentical(granges(x), granges(gnclist))
checkIdentical(x, granges(gnclist, use.mcols=TRUE))
checkIdentical(length(x), length(gnclist))
checkIdentical(names(x), names(gnclist))
checkIdentical(seqnames(x), seqnames(gnclist))
checkIdentical(start(x), start(gnclist))
checkIdentical(end(x), end(gnclist))
checkIdentical(width(x), width(gnclist))
checkIdentical(ranges(x), ranges(gnclist))
checkIdentical(ranges(x, use.names=FALSE), ranges(gnclist, use.names=FALSE))
checkIdentical(ranges(x, use.mcols=TRUE), ranges(gnclist, use.mcols=TRUE))
checkIdentical(strand(x), strand(gnclist))
checkIdentical(seqinfo(x), seqinfo(gnclist))
checkIdentical(x, as(gnclist, "GRanges"))
checkIdentical(x[-6], as(gnclist[-6], "GRanges"))
}
test_findOverlaps_GNCList <- function()
{
q_ranges <- IRanges(-3:7, width=3)
s_ranges <- IRanges(rep.int(1:6, 6:1), c(0:5, 1:5, 2:5, 3:5, 4:5, 5))
query <- GRanges(
Rle(c("chr1", "chr2", "chrM"), rep(length(q_ranges), 3)),
rep(q_ranges, 3),
strand=Rle(c("+", "+", "-"), rep(length(q_ranges), 3)))
subject <- GRanges(
Rle(c("chr1", "chr2", "chrM"), rep(length(s_ranges), 3)),
rep(s_ranges, 3),
strand=Rle(c("+", "-", "*"), rep(length(s_ranges), 3)))
for (ignore.strand in c(FALSE, TRUE)) {
target0 <- .findOverlaps_naive(query, subject,
ignore.strand=ignore.strand)
current <- findOverlaps_GNCList(query, GNCList(subject),
ignore.strand=ignore.strand)
checkTrue(.compare_hits(target0, current))
current <- findOverlaps_GNCList(GNCList(query), subject,
ignore.strand=ignore.strand)
checkTrue(.compare_hits(target0, current))
current <- findOverlaps_GNCList(query, subject,
ignore.strand=ignore.strand)
checkTrue(.compare_hits(target0, current))
## Shuffle query and/or subject elements.
permute_input <- function(q_perm, s_perm) {
q_revperm <- integer(length(q_perm))
q_revperm[q_perm] <- seq_along(q_perm)
s_revperm <- integer(length(s_perm))
s_revperm[s_perm] <- seq_along(s_perm)
target <- remapHits(target0, Lnodes.remapping=q_revperm,
new.nLnode=length(q_perm),
Rnodes.remapping=s_revperm,
new.nRnode=length(s_perm))
current <- findOverlaps_GNCList(query[q_perm],
GNCList(subject[s_perm]),
ignore.strand=ignore.strand)
checkTrue(.compare_hits(target, current))
current <- findOverlaps_GNCList(GNCList(query[q_perm]),
subject[s_perm],
ignore.strand=ignore.strand)
checkTrue(.compare_hits(target, current))
current <- findOverlaps_GNCList(query[q_perm], subject[s_perm],
ignore.strand=ignore.strand)
checkTrue(.compare_hits(target, current))
}
q_perm <- rev(seq_along(query))
s_perm <- rev(seq_along(subject))
permute_input(q_perm, seq_along(subject)) # reverse query
permute_input(seq_along(query), s_perm) # reverse subject
permute_input(q_perm, s_perm) # reverse both
set.seed(97)
for (i in 1:17) {
## random permutations
q_perm <- sample(length(query))
s_perm <- sample(length(subject))
permute_input(q_perm, seq_along(subject))
permute_input(seq_along(query), s_perm)
permute_input(q_perm, s_perm)
}
}
}
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