Spatio-temporal Application for Collaborative Issues in Bioinformatics Datasets

Scientists has largely understand the structure of glass and the ion trajectories has largely relied on statistical analysis of data collected from experimental measurement and computer simulation. Invariably, the details of the structure-transport relationships in the data have been ignored in favor of ensemble average. In this works, we present a visual study of such relationships using surface-based visualization techniques. In particular, we consider a simulated three-dimensional (3D) time-varying model of ion trajectories, and examine the spatio-temporal collaborative among mobile ions. Our goal is to devise effective visual representations to aid scientists especially biologists in identifying possible collaborative behaviors and their spatial and temporal association among complex and seemingly chaotic atom movements in ion trajectories. We propose a hybrid scheme that used 3D glyphs for orientation, color scale and codeword for depicting the time and opacity with highlight and de-highlight factors for collaborative ion dynamic events.