RNA silencing, an evolutionarily conserved and sequence-specific gene-inactivation
system, has a pivotal role in antiviral defense in most eukaryotic organisms. In plants, a class …

Supporting comparison is a common and diverse challenge in visualization. Such support is
difficult to design because solutions must address both the specifics of their scenario as well …

Understanding uncertainty is critical for many analytical tasks. One common approach is to
encode data values and uncertainty values independently, using two visual variables. These …

A central tenet of information visualization research and practice is the notion of visual
variable effectiveness, or the perceptual precision at which values are decoded given visual …

Abstract Design plays a key role in the interpretability of complex visualizations. Many
applied domains utilize large quantities of data to make predictions, ranging from maps …

Pangloss implements" Optimistic Visualization", a method that gives analysts confidence to
use approximate results for exploratory data analysis. In this paper, we outline how analysts' …

Virologists are not only interested in point mutations in a genome, but also in relationships
between mutations. In this work, we present a design study to support the discovery of …

Text annotation data in terms of a series of tagged text segments can pose scalability
challenges within the dimensions of quantity (long texts bearing many annotations) …

Statistics as a field provides powerful methods for dealing with data. We can summarize
data, build models, and make inferences. However, statistics can be complex, esoteric, and …

We present Goldilocks: a Python package providing functionality for collecting summary
statistics, identifying shifts in variation, discovering outlier regions and locating and …