TEQC (version 3.12.0)

coverage.GC: Bait coverage versus GC content plot

Description

Calculates and plots average normalized coverage per hybridization probe versus GC content of the respective probe. A smoothing spline is added to the scatter plot.

Usage

coverage.GC(coverageAll, baits, returnBaitValues = FALSE, linecol = "darkred", lwd, xlab, ylab, pch, col, cex, ...)

Arguments

coverageAll

RleList containing Rle vectors of per-base coverages for each chromosome, i.e. coverageAll output of coverage.target

baits

A RangedData table holding the hybridization probe ("bait") positions and sequences, i.e. output ofget.baits

returnBaitValues

if TRUE, average coverage, average normalized coverage and GC content per bait are returned

linecol, lwd

color and width of spline curve

xlab, ylab

x- and y-axis labels

pch

plotting character

col, cex

color and size of plotting character

...

further graphical parameters passed to plot

Value

GC content of respective baits on the x-axis. A smoothing spline is added to the plot.If returnBaitValues = TRUE average coverage, average normalized coverage and GC content per bait are returned as 'values' columns of the baits input RangedData table

Details

The function calculates average normalized coverages for each bait: the average coverage over all bases within a bait is divided by the average coverage over all bait-covered bases. Normalized coverages are not dependent on the absolute quantity of reads and are hence better comparable between different samples or even different experiments.

References

Tewhey R, Nakano M, Wang X, Pabon-Pena C, Novak B, Giuffre A, Lin E, Happe S, Roberts DN, LeProust EM, Topol EJ, Harismendy O, Frazer KA. Enrichment of sequencing targets from the human genome by solution hybridization. Genome Biol. 2009; 10(10): R116.

See Also

coverage.target, covered.k, coverage.hist, coverage.plot, coverage.uniformity, coverage.targetlength.plot

Examples

## get reads and targets
exptPath <- system.file("extdata", package="TEQC")
readsfile <- file.path(exptPath, "ExampleSet_Reads.bed")
reads <- get.reads(readsfile, idcol=4, skip=0)
targetsfile <- file.path(exptPath, "ExampleSet_Targets.bed")
targets <- get.targets(targetsfile, skip=0)

## calculate per-base coverages
Coverage <- coverage.target(reads, targets, perBase=TRUE)

## get bait positions and sequences
baitsfile <- file.path(exptPath, "ExampleSet_Baits.txt")
baits <- get.baits(baitsfile, chrcol=3, startcol=4, endcol=5, seqcol=2)

## do coverage vs GC plot
coverage.GC(Coverage$coverageAll, baits)