Computational models are essential tools that can be used to simultaneously explain and guide biological intuition. With increasingly high-resolution, high-throughput, and dynamic experimental data, computational biologists are better equipped to develop informed models that aim to characterize complex cellular responses and direct experimental design.

A primary cilium is presented as a meso-scale device that senses and translates extracellular information into intracellular biochemical reactions. These input cues manifest in a variety of forms ranging from chemical to mechanical ones. Deregulation of these information transfer leads to human diseases known as ciliopathies. Due to its diffraction-limited dimension and semi-membrane-bound topology, a primary cilium has been a daunting compartment to visualize and manipulate signaling events on site.