Abstract

We present ScaleTrotter, a conceptual framework for an interactive, multi-scale visualization of biological mesoscale data and, specifically, genome data. ScaleTrotter allows viewers to smoothly transition from the nucleus of a cell to the atomistic composition of the DNA, while bridging several orders of magnitude in scale. The challenges in creating an interactive visualization of genome data are fundamentally different in several ways from those in other domains like astronomy that require a multi-scale representation as well. First, genome data has intertwined scale levels-the DNA is an extremely long, connected molecule that manifests itself at all scale levels. Second, elements of the DNA do not disappear as one zooms out-instead the scale levels at which they are observed group these elements differently. Third, we have detailed information and thus geometry for the entire dataset and for all scale levels, posing a challenge for interactive visual exploration. Finally, the conceptual scale levels for genome data are close in scale space, requiring us to find ways to visually embed a smaller scale into a coarser one. We address these challenges by creating a new multi-scale visualization concept. We use a scale-dependent camera model that controls the visual embedding of the scales into their respective parents, the rendering of a subset of the scale hierarchy, and the location, size, and scope of the view. In traversing the scales, ScaleTrotter is roaming between 2D and 3D visual representations that are depicted in integrated visuals. We discuss, specifically, how this form of multi-scale visualization follows from the specific characteristics of the genome data and describe its implementation. Finally, we discuss the implications of our work to the general illustrative depiction of multi-scale data.

Highlights

  • The recent advances in visualization have allowed us to depict and understand many aspects of the structure and composition of the living cell

  • Based on our design and implementation we compare our results with existing visual examples, examine potential application domains, discuss limitations, and suggest several directions for improvement

  • Measuring the ground truth is only possible to a certain degree, which makes the comparison to ScaleTrotter difficult

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Summary

INTRODUCTION

The recent advances in visualization have allowed us to depict and understand many aspects of the structure and composition of the living cell. CellVIEW [30] provides detailed visuals for viewers to understand the composition of a cell in an interactive exploration tool and Lindow et al [35] created an impressive interactive illustrative depiction of RNA and DNA structures. Most such visualizations only provide a depiction of components/processes at a single scale level. The best example is DNA, which is divided and packed into visible chromosomes during mitosis and meiosis, while being read out at the scale level of base pairs. It indicates that our interactive visualization can serve as a fundamental building block for tools that target both domain experts and laypeople

Abstraction in illustrative visualization
Scale-dependent molecular and genome visualization
Multi-scale visualization by means of leaving out detail
Different shape representations by conceptual scale
Conceptual scale representations with smooth transition
General multi-scale data visualization
MULTI-SCALE GENOME VISUALIZATION
Challenges of interactive multiscale DNA visualization
Visual embedding of conceptual scales
Multi-scale visual embedding and scale-dependent view
IMPLEMENTATION
Data sources and data hierarchy
Realizing visual scale embedding
Interaction considerations
Comparison to traditionally created illustrations
Feedback from illustrators and application scenarios
Feedback from genome scientists
Full Text
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