linus: Conveniently explore, share, and present large-scale biological trajectory data in a web browser
Fig 1
Browser-based exploration and sharing of trajectory visualisations with linus.
(a) Control workflow of linus. (Input data) linus can import tracking data from a variety of formats. (Preprocessing) The Python-converter additionally enriches the imported data with additional features (providing e.g. an edge-bundled version of the data, visual context, or a coordinate system) and prepares the visualisation packet. (Tour setup) The user can open the visualisation in a web browser and create an interactive presentation of the data. (Sharing) These visualisations can be shared via a URL, or a QR code and (Exploring) readily presented and explored across various devices. (b) Overview of the graphical user interface (GUI). The data can be visualised and explored in the browser. Different aspects of the data can be interactively highlighted (zoomed example on the right shows the effect of changing the degree of trajectory bundling).