ccGenomicPoints | R Documentation |
Object ccGenomicCellGeom will call the function circlize::circos.genomicPoints while drawing.
ccGenomicPoints(
region = NULL,
value = NULL,
numeric.column = NULL,
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 |
posTransform |
Self-defined function to transform genomic positions, see |
pch |
Type of points. Settings are similar as |
col |
Color of points. If there is only one numeric column, the length of |
cex |
Size of points. Settings are similar as |
bg |
Background colors for points. |
... |
Mysterious parameters. |
Object ccGenomicCellGeom
library(circlizePlus)
data <- generateRandomBed(nr = 30, nc = 2)
all_chr <- c("chr1", "chr2", "chr3", "chr4", "chr5", "chr6", "chr7", "chr8",
"chr9", "chr10", "chr11", "chr12", "chr13", "chr14", "chr15", "chr16",
"chr17", "chr18", "chr19", "chr20", "chr21", "chr22", "chrX", "chrY")
cc <- ccPlot(initMode = "initializeWithIdeogram", plotType = NULL)
t1 <- ccGenomicTrack(data = data, numeric.column = 4)
cells1 <- ccCells(sector.indexes = all_chr) +
ccGenomicPoints(region = \(region, value){
region
}, value = \(region, value){
value
}, numeric.column = 2)
t1 <- t1 + cells1
show(cc + t1)
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