circos.genomicPoints | R Documentation |
Add points to a plotting region, specifically for genomic graphics
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"),
...)
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 |
sector.index |
Index of sector. |
track.index |
Index of track. |
posTransform |
Self-defined function to transform genomic positions, see |
col |
Color of points. If there is only one numeric column, the length of |
pch |
Type of points. Settings are similar as |
cex |
Size of points. Settings are similar as |
bg |
Background colors for points. |
... |
Mysterious parameters. |
The function is a low-level graphical function and usually is put in panel.fun
when using circos.genomicTrack
.
The function behaviours differently from different formats of input, see the examples in the "Examples" Section or go to https://jokergoo.github.io/circlize_book/book/modes-of-input.html for more details.
circos.par("track.height" = 0.1)
circos.initializeWithIdeogram(plotType = NULL)
bed = generateRandomBed(nr = 100)
circos.genomicTrack(bed, panel.fun = function(region, value, ...) {
circos.genomicPoints(region, value, pch = 16, cex = 0.5, ...)
})
circos.genomicTrack(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.genomicTrack(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.genomicTrack(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.genomicTrack(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.genomicTrack(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()
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