Visualization of large influenza virus sequence datasets using adaptively aggregated trees with sampling-based subscale representation

摘要

BackgroundWith the amount of influenza genome sequence data growing rapidly, researchers need machine assistance in selecting datasets and exploring the data. Enhanced visualization tools are required to represent results of the exploratory analysis on the web in an easy-to-comprehend form and to facilitate convenient information retrieval.