
Aaron Berliner
Bio/Nano Research Group, USA
Title: VirionDB: A Web-Based Application for Virology Exploration and Analysis
Biography
Biography: Aaron Berliner
Abstract
VirionDB is a modern, web-based, extensible, user-friendly tool designed to ease the browsing of virus genetic and metadata via filtering and faceted search. The primary pain-points of the current selection of virology databases such as NCBI, ViPR, and ViralZone is their difficult-to-understand user interface and lack of consistent viral metadata. We address the problem of confusing virus taxonomy and categorization by generatively creating dynamic and interaction-based data visualizations. These visualizations aid browsing by providing a user with on-the-fly graphical updates for each query, which augments the understanding of grouping and patterns in viral categories. We also address problems accessing and querying the data, which is typically done by bioinformatics-based scripting, by providing the non-programmer easy access to specific viral traits across such as Baltimore classification, nucleic acid type, nucleic acid strandedness, nucleic acid sense, capsid morphology, capsid envelope, taxonomy, genome shape, host category, length, virion size, icosahedral T-number, and more. Further, we standardized trait data to facilitate searches for and comparisons of viruses of interest. Selection of a specific virus provides interactive visualizations of 1D, 2D, and 3D data such as genome composition in primary structure and secondary structure, and protein and capsid quaternary structure. VirionDB also provides connections to downstream applications through links to genome design and advanced molecular modeling tools