plot.deepSNV | R Documentation |
This function plots the relative nucleotide frequencies of the test against the control experiment on a logarithmit scale. The color of the symbols denotes the nucleotide, and the area of the circle is proportional to the -log of the p-value.
## S3 method for class 'deepSNV' plot( x, sig.level = NULL, col = NULL, col.null = "grey", cex.min = 0.2, ylab = "Relative Frequency in Test", xlab = "Relative Frequency in Control", pch = 16, ... )
x |
A deep SNV object. |
sig.level |
By default, p-values below sig.level are drawn as filled circles. |
col |
Color of the nucleotides. |
col.null |
Color of insignificant nucleotides. |
cex.min |
The minimal size of the points. |
ylab |
The y-axis label. |
xlab |
The x-axis label. |
pch |
The plotting symbol. Default = 16 (filled circle) |
... |
Additional arguments passed to plot. |
Moritz Gerstung
## Short example with 2 SNVs at frequency ~10% regions <- data.frame(chr="B.FR.83.HXB2_LAI_IIIB_BRU_K034", start = 3120, stop=3140) ex <- deepSNV(test = system.file("extdata", "test.bam", package="deepSNV"), control = system.file("extdata", "control.bam", package="deepSNV"), regions=regions, q=10) show(ex) # show method plot(ex) # scatter plot summary(ex) # summary with significant SNVs ex[1:3,] # subsetting the first three genomic positions tail(test(ex, total=TRUE)) # retrieve the test counts on both strands tail(control(ex, total=TRUE)) ## Not run: Full example with ~ 100 SNVs. Requires an internet connection, but try yourself. # regions <- data.frame(chr="B.FR.83.HXB2_LAI_IIIB_BRU_K034", start = 2074, stop=3585) # HIVmix <- deepSNV(test = "http://www.bsse.ethz.ch/cbg/software/deepSNV/data/test.bam", control = "http://www.bsse.ethz.ch/cbg/software/deepSNV/data/control.bam", regions=regions, q=10) data(HIVmix) # attach data instead.. show(HIVmix) plot(HIVmix) head(summary(HIVmix))
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