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Data analysis often involves the comparison of complex objects. With the ever increasing amounts and complexity of data, the demand for systems to help with these comparisons is also growing. Increasingly , information visualization tools support such comparisons explicitly, beyond simply allowing a viewer to examine each object individually. In this paper,(More)
Many visualization tasks require the viewer to make judgments about aggregate properties of data. Recent work has shown that viewers can perform such tasks effectively, for example to efficiently compare the maximums or means over ranges of data. However, this work also shows that such effectiveness depends on the designs of the displays. In this paper, we(More)
In this paper, we introduce overview visualization tools for large-scale multiple genome alignment data. Genome alignment visualization and, more generally, sequence alignment visualization are an important tool for understanding genomic sequence data. As sequencing techniques improve and more data become available, greater demand is being placed on(More)
Visualizations often seek to aid viewers in assessing the big picture in the data, that is, to make judgments about aggregate properties of the data. In this paper, we present an empirical study of a representative aggregate judgment task: finding regions of maximum average in a series. We show how a theory of perceptual averaging suggests a visual design(More)
Many bioinformatics applications construct classifiers that are validated in experiments that compare their results to known ground truth over a corpus. In this paper, we introduce an approach for exploring the results of such classifier validation experiments, focusing on classifiers for regions of molecular surfaces. We provide a tool that allows for(More)
This work describes a first step towards the creation of an engineering model for the perception of color difference as a function of size. Our approach is to non-uniformly rescale CIELAB using data from crowdsourced experiments, such as those run on Amazon Mechanical Turk. In such experiments, the inevitable variations in viewing conditions reflect the(More)
In this position paper, we enumerate two approaches to the evaluation of visualizations which are associated with two approaches to knowledge formation in science: reductionism, which holds that the understanding of complex phenomena is based on the understanding of simpler components; and holism, which states that complex phenomena have characteristics(More)
Sequence comparison is a fundamental task in the biological sciences. Scientists often need to understand the similarities and differences between genetic sequences to understand evolution, to infer common function, or identify differences. Because the sequences are too long for manual examination, scientists rely on alignment tools that automatically(More)
Many bioinformatics applications utilize machine learning techniques to create models for predicting which parts of proteins will bind to targets. Understanding the results of these protein surface binding classifiers is challenging, as the individual answers are embedded spatially on the surface of the molecules, yet the performance needs to be understood(More)