One of the most rewarding and insightful things we can do is visualize data. Very often, we want to see on a chromosome or genetic map where some features of interest lie in relation to others. These are sometimes called chromosome plots, and sometimes ideograms, and in this section, we'll see how to create one of these using the karyoploteR package. The package takes as input the familiar GRanges objects and creates detailed plots from configuration. We'll take a quick look at some different plot styles and some configuration options for ironing out the bumps in your plots when labels spill off the page or overlap each other.