PT  - JOURNAL ARTICLE
AU  - Jordan Matelsky
AU  - Joseph Downs
AU  - Brock Wester
AU  - Will Gray Roncal
TI  - A <em>substrate</em> for modular, extensible data-visualization
AID  - 10.1101/217349
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 217349
4099  - http://biorxiv.org/content/early/2017/11/10/217349.short
4100  - http://biorxiv.org/content/early/2017/11/10/217349.full
AB  - As scientific questions grow in scope and datasets grow larger, collaborative research teams and data dissemination have emerged as core research enablers. However, simply visualizing datasets is challenging, especially when sharing information across research groups or to the broader scientific community. We present substrate, a data-visualization platform designed to enable communication and code reuse across diverse research teams. Written in three.js, our platform provides a rigid and simple, yet powerful interface for scientists to rapidly build tools and effective visualizations.