Description Usage Arguments Details Value Author(s) See Also Examples
Creates PDF file with histograms showing distribution of interquantile width of tag clusters or consensus clusters in each CAGE dataset.
1 2 | plotInterquantileWidth(object, clusters, tpmThreshold = 5,
qLow = 0.1, qUp = 0.9, xlim = c(0,150), ...)
|
object |
A |
clusters |
Which clusters should be used. Can be either |
tpmThreshold |
Only clusters with normalized signal |
qLow |
Position of which "lower" quantile should be used as 5' boundary. See Details. |
qUp |
Position of which "upper" quantile should be used as 3' boundary. See Details. |
xlim |
The x axis limits of the plot. |
... |
Additional arguments passed to |
Interquantile width is a width (in base-pairs) of the central part of the genomic region (bounded by the positions of specified qLow
and qUp
quantiles) that contains >= (qUp - qLow) * 100%
of the CAGE signal. Positions of specified quantiles within each cluster have to be calculated beforehand by calling quantilePositions
function. Interquantile width is a more robust measure of the promoter width than the total span of the region, because it takes into account the magnitude of the expression in the region.
Creates PDF file named "tagClusters_interquantile_width_all_samples.pdf" or "consensusClusters_interquantile_width_all_samples.pdf" in the working directory (depending on the value of cluster
parameter). The file contains histograms showing distribution of interquantile width in every CAGE experiment.
Vanja Haberle
1 2 3 4 | load(system.file("data", "exampleCAGEset.RData", package="CAGEr"))
plotInterquantileWidth(object = exampleCAGEset, clusters = "tagClusters",
tpmThreshold = 50, qLow = 0.1, qUp = 0.9)
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