I have a SummarizedExperiment (but we can consider it a GRanges).
What I want is to reduce the number of intervals, keeping only one row for every identical adjacent
gr <- GRanges(
seqnames = Rle(c("chr1"), c(12)),
ranges = IRanges(1:12*10, end = 1:12*10+5),
state1 = c(1,1,1,1,2,3,4,5,5,5,1,1),
state2 = c(1,1,1,2,2,2,5,5,6,6,1,1))
gr2 <- GRanges(
seqnames = Rle(c("chr1"), c(8)),
ranges = IRanges(start = c(10,40,50,60,70,80,90,110),
end = c(35,45,55,65,75,85,105,125)),
state1 = c(1,1,2,3,4,5,5,1), state2 = c(1,2,2,2,5,5,6,1))
Create an artificial factor, make sure the levels are in the order of occurrence in the factor (rather than the default alphabetical) to avoid re-arranging the GRanges, and split the
f0 = paste(gr$state1, gr$state2, sep=".") f = factor(f0, levels=unique(f0)) grl = split(gr, f)
Get the ranges and relevant metadata
grf = unlist(range(grl), use.names=FALSE) mcols(grf) = mcols(gr)[!duplicated(f),]
unlist() should all be 'fast' for data of this size.
To also split on chromosome, add that to the factor
f0 = paste(seqnames(gr), gr$state1, gr$state2, sep=".")
To split in some other way, e.g., only when states are adjacent, figure out a way to make the appropriate factor, e.g.,
f0 = paste( seqnames(gr), cumsum(c(TRUE, diff(gr$state1) != 0)), cumsum(c(TRUE, diff(gr$state2) != 0)), sep=".")
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