linus: Conveniently explore, share and present large-scale biological trajectory data from a web browser.

In biology we encounter large-scale trajectory data, but exploring and communicating patterns in such data is often a cumbersome task. Ideally, such data should be provided with an interactive visualisation in one concise package so that we can create and test hypotheses collaboratively. To address these challenges, we have developed a Python-based tool, linus, which makes the process of exploring and sharing 3D trajectories as easy as browsing a website. linus creates intriguing and interactive visualisations that are shareable, both offline and online, to facilitate the collaborative discovery of patterns in large and complex trajectory data.