ePlant helps plant biologists visualize the natural connections between DNA sequences, natural variation, molecular structures, protein-protein interactions, and gene expression patterns.

It connects to several publicly available datasets to download the latest genome, interactome, and transcriptome data for any number of genes or gene products you may be interested in. Data is displayed with a set of visualization tools that are presented with a conceptual hierarchy from big to small. Links between the different views help underscore connections between multiple levels of analysis. ePlant was funded with grants from Genome Canada and NSERC.

Link to the paper: http://www.plantcell.org/content/early/2017/08/14/tpc.17.00073

Link to the "In Brief" by Nancy Hofmann, Plant Cell Science Editor: http://www.plantcell.org/content/plantcell/early/2017/08/21/tpc.17.00662.full.pdf

Category Research, Data Visualization, UX Design

Date August 2017

My paper was selected for the cover of the August 2017 edition of The Plant Cell.

This infographic is my attempt to summarize all the different levels of biological data that are available, and how they interact with each other.

Figure A is a diagram of the system architecture. Figure B is a screen capture of the interface.