computeOverlapProfile: Compute Overlaps Profile
In nrzabet/DMRcaller: Differentially Methylated Regions caller

Description Usage Arguments Value Author(s) See Also Examples

This function computes the distribution of a subset of regions (GRanges object) over a large region (GRanges object)

1 2	computeOverlapProfile(subRegions, largeRegion, windowSize = floor(width(largeRegion)/500), binary = TRUE, cores = 1)

`subRegions`	a `GRanges` object with the sub regions; e.g. can be the DMRs.
`largeRegion`	a `GRanges` object with the region where to compute the overlaps; e.g. a chromosome
`windowSize`	The `largeRegion` is partitioned into equal sized tiles of width `windowSize`.
`binary`	a value indicating whether to count 1 for each overlap or to compute the width of the overlap
`cores`	the number of cores used to compute the DMRs.

a GRanges object with equal sized tiles of the regions. The object has one metadata file score which represents: the number of subRegions overlapping with the tile, in the case of binary = TRUE, and the width of the subRegions overlapping with the tile , in the case of binary = FALSE.

Nicolae Radu Zabet

plotOverlapProfile, filterDMRs, computeDMRs and mergeDMRsIteratively

# load the methylation data
data(methylationDataList)

# load the DMRs in CG context
data(DMRsNoiseFilterCG)

# the coordinates of the area to be plotted
largeRegion <- GRanges(seqnames = Rle("Chr3"), ranges = IRanges(1,1E5))

# compute overlaps distribution
hotspots <- computeOverlapProfile(DMRsNoiseFilterCG, largeRegion,
           windowSize = 10000, binary = FALSE)