View source: R/coverage_heatmaps.R
coverageHeatMap | R Documentation |
Creates a ggplot representing a heatmap of coverage:
Rows : Position in region
Columns : Read length
Index intensity : (color) coverage scoring per index.
Coverage rows in heat map is fraction, usually fractions is divided into unique read lengths (standard Illumina is 76 unique widths, with some minimum cutoff like 15.) Coverage column in heat map is score, default zscore of counts. These are the relative positions you are plotting to. Like +/- relative to TIS or TSS.
coverageHeatMap(
coverage,
output = NULL,
scoring = "zscore",
legendPos = "right",
addFracPlot = FALSE,
xlab = "Position relative to start site",
ylab = "Protected fragment length",
colors = "default",
title = NULL,
increments.y = "auto",
gradient.max = max(coverage$score)
)
coverage |
a data.table, e.g. output of scaledWindowCoverage |
output |
character string (NULL), if set, saves the plot as pdf or png to path given. If no format is given, is save as pdf. |
scoring |
character vector, default "zscore", Which scoring did you use to create? either of zscore, transcriptNormalized, sum, mean, median, .. see ?coverageScorings for info and more alternatives. |
legendPos |
a character, Default "right". Where should the fill legend be ? ("top", "bottom", "right", "left") |
addFracPlot |
Add margin histogram plot on top of heatmap with fractions per positions |
xlab |
the x-axis label, default "Position relative to start site" |
ylab |
the y-axis label, default "Protected fragment length" |
colors |
character vector, default: "default", this gives you: c("white", "yellow2", "yellow3", "lightblue", "blue", "navy"), do "high" for more high contrasts, or specify your own colors. |
title |
a character, default NULL (no title), what is the top title of plot? |
increments.y |
increments of y axis, default "auto". Or a numeric value < max position & > min position. |
gradient.max |
numeric, defualt: max(coverage$score). What data value should the top color be ? Good to use if you want to compare 2 samples, with the same color intensity, in that case set this value to the max score of the 2 coverage tables. |
Colors:
Remember if you want to change anything like colors, just return the
ggplot object, and reassign like: obj + scale_color_brewer() etc.
Standard colors are:
0 reads in whole readlength :gray
few reads in position :white
medium reads in position :yellow
many reads in position :dark blue
a ggplot object of the coverage plot, NULL if output is set, then the plot will only be saved to location.
Other heatmaps:
heatMapL()
,
heatMapRegion()
,
heatMap_single()
Other coveragePlot:
pSitePlot()
,
savePlot()
,
windowCoveragePlot()
# An ORF
grl <- GRangesList(tx1 = GRanges("1", IRanges(1, 6), "+"))
# Ribo-seq reads
range <- IRanges(c(rep(1, 3), 2, 3, rep(4, 2), 5, 6), width = 1 )
reads <- GRanges("1", range, "+")
reads$size <- c(rep(28, 5), rep(29, 4)) # read size
coverage <- windowPerReadLength(grl, reads = reads, upstream = 0,
downstream = 5)
coverageHeatMap(coverage)
# With top sum bar
coverageHeatMap(coverage, addFracPlot = TRUE)
# See vignette for more examples
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