Getting poster data...
Geoffrey Fucile (University of Toronto, Toronto, Canada)Visualization tools for biological data are typically two-dimensional and often limited in their ability to integrate data at multiple scales. To demonstrate the utility of three-dimensional data visualization in overcoming these limitations we have developed "ePlant" – a suite of open-source world wide web-based tools for analyses of the model organism Arabidopsis thaliana , rendered as interactive three-dimensional models permitting seamless integration and visualization of biological data from the nanometer to the kilometer scale. Currently, ePlant consists of the following modules, in increasingly coarser scale: a protein structure model explorer, a molecular interaction network explorer, sub‐cellular localization of gene products, expression patterns at the tissue level, and a sequence conservation explorer. We also report a high-throughput protein structure prediction and annotation collection with >70% coverage of the Arabidopsis proteome. The ePlant framework can be applied to any model organism. To facilitate the development of three-dimensional displays of biological data on the world wide web we have established the “3D Data Display Initiative”