A high-speed three.js substrate for visualizing biofidelic data
If you’re using substrate for the first time, you might want to take a look at the Getting Started page.
Name | Description |
---|---|
LineSegmentsLayer | Useful for plotting sets of lines |
ObjLayer | Adds a .obj file to the scene |
AxisLayer | Adds the cardinal axes to the scene |
LightingLayer | Adds a light at the origin |
@article {Matelsky217349,
author = {Matelsky, Jordan K and Downs, Joseph and Wester, Brock and Gray Roncal, William},
title = {A substrate for modular, extensible data-visualization},
year = {2017},
doi = {10.1101/217349},
publisher = {Cold Spring Harbor Laboratory},
abstract = {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.},
URL = {https://www.biorxiv.org/content/early/2017/11/10/217349},
eprint = {https://www.biorxiv.org/content/early/2017/11/10/217349.full.pdf},
journal = {bioRxiv}
}