Main function to generate ideogram htmlwidget visualization

ideogRam(..., width = NULL, height = NULL, elementId = NULL)

Arguments

...: Options add ideogram object attributes
width: Fixed width for widget (in css units). The default is NULL, which results in intelligent automatic sizing based on the widget's container.
height: Fixed height for widget (in css units). The default is NULL, which results in intelligent automatic sizing based on the widget's container.
elementId: Use an explicit element ID for the widget (rather than an automatically generated one). Useful if you have other JavaScript that needs to explicitly discover and interact with a specific widget instance.

Examples

library(GenomicRanges)
#> Loading required package: stats4
#> Loading required package: BiocGenerics
#> 
#> Attaching package: ‘BiocGenerics’
#> The following objects are masked from ‘package:stats’:
#> 
#>     IQR, mad, sd, var, xtabs
#> The following objects are masked from ‘package:base’:
#> 
#>     Filter, Find, Map, Position, Reduce, anyDuplicated, append,
#>     as.data.frame, basename, cbind, colnames, dirname, do.call,
#>     duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
#>     lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
#>     pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
#>     tapply, union, unique, unsplit, which.max, which.min
#> Loading required package: S4Vectors
#> 
#> Attaching package: ‘S4Vectors’
#> The following objects are masked from ‘package:base’:
#> 
#>     I, expand.grid, unname
#> Loading required package: IRanges
#> Loading required package: GenomeInfoDb
data <- GRanges(c("2", "17"),
                IRanges(c(34294, 43125400), c(125482, 43125482)),
                color = c("red", "green"))

p <- ideogRam(organism = "human") %>%
    set_option(orientation = "horizontal") %>%
    add_track(data)
p