print.rjmcmcNucleosomesBeforeAndAfterPostTreatment: Formated output of predicted nucleosomes

In ArnaudDroitLab/RJMCMCNucleosomes: Bayesian hierarchical model for genome-wide nucleosome positioning with high-throughput short-read data (MNase-Seq)

Description

Generated a formated output of a list marked as an rjmcmcNucleosomesBeforeAndAfterPostTreatment class

Usage

## S3 method for class 'rjmcmcNucleosomesBeforeAndAfterPostTreatment'
print(x, ...)

Arguments

x	the output object from rjmcmcCHR function to be printed
...	arguments passed to or from other methods

Value

an object of class rjmcmcNucleosomesBeforeAndAfterPostTreatment

Author(s)

Astrid Deschenes

Examples

## Load synthetic dataset of reads
data(syntheticNucleosomeReads)

## Use dataset of reads to create GRanges object
sampleGRanges <- GRanges(syntheticNucleosomeReads$dataIP)

## Run nucleosome detection on the entire sample
## Not run: result <- rjmcmcCHR(reads = sampleGRanges, zeta = 147, delta=50,
maxLength=1200, nbrIterations = 1000, lambda = 3, kMax = 30,
minInterval = 146, maxInterval = 292, minReads = 5, vSeed = 10113,
nbCores = 2, saveAsRDS = FALSE)
## End(Not run)

## Print result
## Not run: print(result)

ArnaudDroitLab/RJMCMCNucleosomes documentation built on May 5, 2019, 7:06 a.m.