ImaCytE: Visual Exploration of Cellular Micro-Environments for Imaging Mass Cytometry Data

Visual Exploration of Genomic Data

In this study, we present methods for comparative visualization of DNA sequences in two dimensions. First, we illustrate a transformation of gene sequences into numerical trajectories. The trajectory visually captures the nucleotide content of each sequence, allowing for fast and easy visualization of long DNA sequences. Then, we project the relative placement of the trajectories on the 2D plan...

Affordances of Input Modalities for Visual Data Exploration in Immersive Environments

There has been a consistent push towards exploring novel input, display, and feedback technologies for sensemaking from data. However, most visual analytical systems in the wild that go beyond a traditional desktop utilize commercial large displays with direct touch, since they require the least effort to adapt from the desktop/mouse setting. There is a plethora of device technologies that are ...

Provenance-based Recommendations for Visual Data Exploration

Visual data exploration allows users to analyze datasets based on visualizations of interesting data characteristics, to possibly discover interesting information about the data that users are a priori unaware of. In this context, both recommendations of queries selecting the data to be visualized and recommendations of visualizations that highlight interesting data characteristics support user...

A Visual Language for Interactive Data Exploration

Adaptive Prefetching for Visual Data Exploration

Loading of data from slow persistent memory (disk storage) to main memory represents a bottleneck for current interactive visual data exploration applications, especially when applied to huge volumnes of data. Semantic caching of queries at the client-side is a recently emerging technology that can significantly improve the performance of such systems, though it may not in all cases fully achie...