R/consensusSeekeR.R
NOrMAL_nucleosome_ranges.Rd
Ranges associated to nucleosomes detected by the NOrMAL software using syntetic reads generated using a normal distribution with a variance of 20 for regions chr1:10000-15000.
data(NOrMAL_nucleosome_ranges)
A GRanges
containing one entry per detected
nucleosome. The ranges are surronding the nucleosomes present in the dataset
NOrMAL_nucleosome_positions
. The genomic ranges have been obtained by
adding 73 bps on each side of the detected positions.
Polishko A, Ponts N, Le Roch KG and Lonardi S. 2012. NOrMAL: Accurate nucleosome positioning using a modified Gaussian mixture model. Bioinformatics 28 (12): 242-49.
NOrMAL_nucleosome_positions
the associate
genomic positions dataset.
findConsensusPeakRegions
for extracting regions
sharing nucleosomes from more than one experiment.
## Loading datasets
data(PING_nucleosome_positions)
data(PING_nucleosome_ranges)
data(NOrMAL_nucleosome_positions)
data(NOrMAL_nucleosome_ranges)
data(NucPosSimulator_nucleosome_positions)
data(NucPosSimulator_nucleosome_ranges)
## Assigning experiment name to each row of the dataset.
## Position and range datasets from the same sofware must
## have identical names.
names(PING_nucleosome_positions) <- rep("PING",
length(PING_nucleosome_positions))
names(PING_nucleosome_ranges) <- rep("PING",
length(PING_nucleosome_ranges))
names(NOrMAL_nucleosome_positions) <-rep("NOrMAL",
length(NOrMAL_nucleosome_positions))
names(NOrMAL_nucleosome_ranges) <- rep("NOrMAL",
length(NOrMAL_nucleosome_ranges))
names(NucPosSimulator_nucleosome_positions) <-rep("NucPosSimulator",
length(NucPosSimulator_nucleosome_positions))
names(NucPosSimulator_nucleosome_ranges) <- rep("NucPosSimulator",
length(NucPosSimulator_nucleosome_ranges))
## Calculating consensus regions for chromosome 1
## with a default region size of 30 bp (2 * extendingSize).
## Consensus regions are resized to include all genomic regions of
## included nucleosomes.
## Nucleosomes from at least 2 software must be present
## in a region to be retained as a consensus region.
chrList <- Seqinfo(c("chr1"), c(249250621), NA)
findConsensusPeakRegions(
narrowPeaks = c(PING_nucleosome_ranges,
NOrMAL_nucleosome_ranges,
NucPosSimulator_nucleosome_ranges),
peaks = c(PING_nucleosome_positions,
NOrMAL_nucleosome_positions,
NucPosSimulator_nucleosome_positions),
chrInfo = chrList,
extendingSize = 15,
expandToFitPeakRegion = TRUE,
shrinkToFitPeakRegion = TRUE,
minNbrExp = 2,
nbrThreads = 1)
#> $call
#> findConsensusPeakRegions(narrowPeaks = c(PING_nucleosome_ranges,
#> NOrMAL_nucleosome_ranges, NucPosSimulator_nucleosome_ranges),
#> peaks = c(PING_nucleosome_positions, NOrMAL_nucleosome_positions,
#> NucPosSimulator_nucleosome_positions), chrInfo = chrList,
#> extendingSize = 15, expandToFitPeakRegion = TRUE, shrinkToFitPeakRegion = TRUE,
#> minNbrExp = 2, nbrThreads = 1)
#>
#> $consensusRanges
#> GRanges object with 27 ranges and 0 metadata columns:
#> seqnames ranges strand
#> <Rle> <IRanges> <Rle>
#> [1] chr1 10002-10148 *
#> [2] chr1 10167-10314 *
#> [3] chr1 10334-10482 *
#> [4] chr1 10503-10649 *
#> [5] chr1 10670-10816 *
#> ... ... ... ...
#> [23] chr1 14177-14325 *
#> [24] chr1 14340-14488 *
#> [25] chr1 14506-14657 *
#> [26] chr1 14677-14824 *
#> [27] chr1 14842-14992 *
#> -------
#> seqinfo: 1 sequence from an unspecified genome; no seqlengths
#>
#> attr(,"class")
#> [1] "consensusRanges"