Coerce an Rle or RleList object to Ranges
as_ranges(.data)
a Rle()
or an RleList()
object.
an IRanges()
object if the input is an
Rle()
object or a GRanges()
object for
an RleList()
object.
This function is behind compute_coverage()
.
x <- S4Vectors::Rle(10:1, 1:10)
as_ranges(x)
#> IRanges object with 10 ranges and 1 metadata column:
#> start end width | score
#> <integer> <integer> <integer> | <integer>
#> [1] 1 1 1 | 10
#> [2] 2 3 2 | 9
#> [3] 4 6 3 | 8
#> [4] 7 10 4 | 7
#> [5] 11 15 5 | 6
#> [6] 16 21 6 | 5
#> [7] 22 28 7 | 4
#> [8] 29 36 8 | 3
#> [9] 37 45 9 | 2
#> [10] 46 55 10 | 1
# must have names set
y <- IRanges::RleList(chr1 = x)
as_ranges(y)
#> GRanges object with 10 ranges and 1 metadata column:
#> seqnames ranges strand | score
#> <Rle> <IRanges> <Rle> | <integer>
#> [1] chr1 1 * | 10
#> [2] chr1 2-3 * | 9
#> [3] chr1 4-6 * | 8
#> [4] chr1 7-10 * | 7
#> [5] chr1 11-15 * | 6
#> [6] chr1 16-21 * | 5
#> [7] chr1 22-28 * | 4
#> [8] chr1 29-36 * | 3
#> [9] chr1 37-45 * | 2
#> [10] chr1 46-55 * | 1
#> -------
#> seqinfo: 1 sequence from an unspecified genome