Description Usage Format References See Also Examples
Ranges associated to nucleosomes detected by the NucPosSimulator software using syntetic reads generated using a normal distribution with a variance of 20 for regions chr1:10000-15000.
1 |
A GRanges
containing one entry per detected
nucleosome. The ranges are surronding the nucleosomes present in the dataset
NucPosSimulator_nucleosome_positions
. The genomic ranges have been
obtained by adding 73 bps on each side of the detected positions.
Schöpflin R, Teif VB, Müller O, Weinberg C, Rippe K, and Wedemann G. 2013. Modeling nucleosome position distributions from experimental nucleosome positioning maps. Bioinformatics 29 (19): 2380-86.
NucPosSimulator_nucleosome_positions
the associate
genomic positions dataset.
findConsensusPeakRegions
for extracting regions
sharing nucleosomes from more than one experiment.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | ## 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 60 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 = 30,
expandToFitPeakRegion = TRUE,
shrinkToFitPeakRegion = TRUE,
minNbrExp = 2,
nbrThreads = 1)
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