| circos.genomicDensity {circlize} | R Documentation |
Calculate and add genomic density track
circos.genomicDensity(data, ylim.force = FALSE, window.size = NULL, overlap = TRUE,
col = ifelse(area, "grey", "black"), lwd = par("lwd"), lty = par("lty"), type = "l",
area = TRUE, area.baseline = NULL, baseline = 0, border = NA, ...)
data |
A bed-file-like data frame or a list of data frames |
ylim.force |
Whether to force upper bound of |
window.size |
Pass to |
overlap |
Pass to |
col |
Colors. It should be length of one. If |
lwd |
Width of lines |
lty |
Style of lines |
type |
Type of lines, see |
area |
See |
area.baseline |
Deprecated, use |
baseline |
See |
border |
See |
... |
Pass to |
This function is a high-level graphical function, and it will create a new track.
Gu, Z. (2014) circlize implements and enhances circular visualization in R. Bioinformatics.
## Not run:
load(system.file(package = "circlize", "extdata", "DMR.RData"))
# rainfall
circos.initializeWithIdeogram(plotType = c("axis", "labels"))
bed_list = list(DMR_hyper, DMR_hypo)
circos.genomicRainfall(bed_list, pch = 16, cex = 0.4, col = c("#FF000080", "#0000FF80"))
circos.genomicDensity(bed_list[[1]], col = c("#FF000080"), track.height = 0.1)
circos.genomicDensity(bed_list[[2]], col = c("#0000FF80"), track.height = 0.1)
circos.clear()
## End(Not run)