recoupCorrelation: Plot (faceted) average genomic coverage correlations

In recoup: An R package for the creation of complex genomic profile plots

Description

This function takes as input argument and output object from recoup and creates the average genomic curve correlations according to the options present in the input object. It can be used with saved recoup outputs so as to recreate the plots without re-reading BAM/BED files and re-calculating coverages.

Usage

    recoupCorrelation(recoupObj, samples = NULL, rc = NULL)

Arguments

recoupObj	a list object created from recoup.
samples	which samples to plot. Either numeric (denoting the sample indices) or sample ids. Defaults to NULL for all samples.
rc	fraction (0-1) of cores to use in a multicore system. It defaults to NULL (no parallelization).

Value

The function returns the recoupObj with the slot for the correlation plot filled. See also the recoupPlot, getr and setr function.

Author(s)

Panagiotis Moulos

Examples

# Load some data
data("recoup_test_data",package="recoup")

# Calculate coverages
test.tss <- recoup(
    test.input,
    design=NULL,
    region="tss",
    type="chipseq",
    genome=test.genome,
    flank=c(2000,2000),
    selector=NULL,
    plotParams=list(profile=FALSE,correlation=TRUE,
        heatmap=FALSE),
    rc=0.1
)

# Plot coverage correlations
recoupCorrelation(test.tss,rc=0.1)

recoup documentation built on Nov. 8, 2020, 6:47 p.m.