compartments:
Estimates A/B compartments from Illumina methylation arrays
Description
Estimates A/B compartments as revealed by Hi-C by computing the first
eigenvector on a binned probe correlation matrix.
Usage
compartments(object, resolution=100*1000, what = "OpenSea", chr="chr22", method = c("pearson", "spearman"), keep=TRUE)
Arguments
object
An object of class (Genomic)MethylSet or (Genomic)RatioSet
resolution
An integer specifying the binning resolution
what
Which subset of probes should be used?
chr
The chromosome to be analyzed.
method
Method of correlation.
keep
Should the correlation matrix be stored or not?
Value
GRanges
containing the correlation matrix, the compartment eigenvector and the compartment labels (A or B) as metadata.
Details
This function extracts A/B compartments from Illumina methylation microarrays. Analysis of Hi-C data has shown that the genome can be divided into two compartments (A/B compartments) that are cell-type specific and are associated with open and closed chromatin respectively. The approximately 170,000 open sea probes on the 450k array can be used to estimate these compartments by computing the first eigenvector on a binned correlation matrix. The binning resolution can be specified by resolution
, and by default is set to a 100 kb. We do not recommend higher resolutions because of the low-resolution probe design of the 450k array.
References
JP Fortin and KD Hansen.
Reconstructing A/B compartments as revealed by Hi-C using long-range correlations in epigenetic data.
bioRxiv (2015).
doi:10.1101/019000.
Examples
Run this codeif (require(minfiData)) {
GMset <- mapToGenome(MsetEx)
comps <- compartments(GMset)
}
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