Our paper was selected for the cover of the August 2017 edition of The Plant Cell!
This infographic is an 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.
ePlant helps plant biologists visualize the natural connections between DNA sequences, natural variation (polymorphisms), molecular structures, protein-protein interactions, and gene expression patterns by combining several data visualization tools with a zoomable user interface.
It connects to several publicly available web services 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.
ePlant was the capstone project from my PhD thesis.
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