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circlize (version 0.4.1)

circos.genomicPoints: Add points to a plotting region, specifically for genomic graphics

Description

Add points to a plotting region, specifically for genomic graphics

Usage

circos.genomicPoints(region, value, numeric.column = NULL,
    sector.index = get.cell.meta.data("sector.index"),
    track.index = get.cell.meta.data("track.index"), posTransform = NULL,
    pch = par("pch"), col = par("col"), cex = par("cex"), bg = par("bg"), ...)

Arguments

region

A data frame contains 2 columns which correspond to start positions and end positions

value

A data frame contains values and other information

numeric.column

Which column in value data frame should be taken as y-value. If it is not defined, the whole numeric columns in value will be taken.

sector.index
track.index
posTransform

Self-defined function to transform genomic positions, see posTransform.default for explanation

col

color of points. If there is only one numeric column, the length of col can be either one or number of rows of region. If there are more than one numeric column, the length of col can be either one or number of numeric columns. Pass to circos.points

pch

Type of points. Settings are similar as col. Pass to circos.points

cex

Size of points. Settings are similar as col. Pass to circos.points

bg

background colors for points.

...

Mysterious parameters

Details

The function is a low-level graphical function and usually is put in panel.fun when using circos.genomicTrackPlotRegion.

References

Gu, Z. (2014) circlize implements and enhances circular visualization in R. Bioinformatics.

Examples

Run this code
# NOT RUN {
circos.par("track.height" = 0.1)
circos.initializeWithIdeogram(plotType = NULL)

bed = generateRandomBed(nr = 100)
circos.genomicTrackPlotRegion(bed, panel.fun = function(region, value, ...) {
    circos.genomicPoints(region, value, pch = 16, cex = 0.5, ...)
})

circos.genomicTrackPlotRegion(bed, stack = TRUE, panel.fun = function(region, value, ...) {
    circos.genomicPoints(region, value, pch = 16, cex = 0.5, ...)
    i = getI(...)
    cell.xlim = get.cell.meta.data("cell.xlim")
    circos.lines(cell.xlim, c(i, i), lty = 2, col = "#00000040")
})

bed1 = generateRandomBed(nr = 100)
bed2 = generateRandomBed(nr = 100)
bed_list = list(bed1, bed2)

# data frame list
circos.genomicTrackPlotRegion(bed_list, panel.fun = function(region, value, ...) {
    cex = (value[[1]] - min(value[[1]]))/(max(value[[1]]) - min(value[[1]]))
    i = getI(...)
    circos.genomicPoints(region, value, cex = cex, pch = 16, col = i, ...)
})

circos.genomicTrackPlotRegion(bed_list, stack = TRUE,
    panel.fun = function(region, value, ...) {
    cex = (value[[1]] - min(value[[1]]))/(max(value[[1]]) - min(value[[1]]))
    i = getI(...)
    circos.genomicPoints(region, value, cex = cex, pch = 16, col = i, ...)
    cell.xlim = get.cell.meta.data("cell.xlim")
    circos.lines(cell.xlim, c(i, i), lty = 2, col = "#00000040")
})


bed = generateRandomBed(nr = 100, nc = 4)
circos.genomicTrackPlotRegion(bed, panel.fun = function(region, value, ...) {
    cex = (value[[1]] - min(value[[1]]))/(max(value[[1]]) - min(value[[1]]))
    circos.genomicPoints(region, value, cex = 0.5, pch = 16, col = 1:4, ...)
})

circos.genomicTrackPlotRegion(bed, stack = TRUE, panel.fun = function(region, value, ...) {
    cex = (value[[1]] - min(value[[1]]))/(max(value[[1]]) - min(value[[1]]))
    i = getI(...)
    circos.genomicPoints(region, value, cex = cex, pch = 16, col = i, ...)
    cell.xlim = get.cell.meta.data("cell.xlim")
    circos.lines(cell.xlim, c(i, i), lty = 2, col = "#00000040")
})

circos.clear()

# }
# NOT RUN {
# }

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