Add points to a plotting region, specifically for genomic graphics
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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