Category Archives: Data Science and Analytics

Overview During a successful collaboration between NC DOT, UNC Highway Safety Research Center, and Volpe Transportation Systems Center, RENCI created a prototype AI system for locating Roadside hazards along rural roads in North Carolina.  This project extends that work to extract geometric information from a combined videolog and LIDAR data package to create actionable information […]

Overview Semantic Infrastructure for Noctua and Gene Ontology is a project providing expertise in semantic technologies to the leading resource scientists use to exchange knowledge on how genes function. RENCI’s Role The Gene Ontology (GO) project, by far the largest knowledgebase of how genes function, has become a critical component of the computational infrastructure enabling […]

Overview Exploratory visualization and analysis of large and complex datasets is growing increasingly common across a range of domains, and large and complex data repositories are being created with the goal supporting data-driven, evidence-based decision making. However, today’s visualization tools are often overwhelmed when applied to high-dimensional datasets (i.e., datasets with large numbers of variables). […]

Overview Biological knowledge is increasingly standardized and made available through simple programming interfaces.  But how can scientists best consume that information, and use it to enhance their research?  ARAGORN (Autonomous Relay Agent for Generation of Ranked Networks) is a tool that assembles information relevant to a user query, and uses that information to synthesize well-supported […]