1 ABSTRACT
Visualising the complex information captured by synthetic biology designs is still a major challenge. The popular glyph approach where each genetic part is displayed on a linear sequence allows researchers to generate diagrams and visualise abstract designs [2], but only represents a single, static representation that results in visualisation that is not specific to the requirements of a user resulting in a one-size-fits-all visualisation. We developed a network visualisation technique that automatically turns all design information into a graph, displaying otherwise hidden data. The structure of the resulting graphs can be dynamically adjusted according to specific visualisation requirements, such as highlighting proteins, interactions or hierarchy. Since biological systems have an inherent affinity with network visualization [6], we advocate for adopting this approach to standardise and automate the representation of complex information.
Competing Interest Statement
The authors have declared no competing interest.