论文标题

概要:用于DNA纳米技术模拟的解释性分析的多尺度视觉抽象设置

SynopSet: Multiscale Visual Abstraction Set for Explanatory Analysis of DNA Nanotechnology Simulations

论文作者

Luo, Deng, Kouyoumdjian, Alexandre, Strnad, Ondřej, Miao, Haichao, Barišić, Ivan, Viola, Ivan

论文摘要

我们提出了一个新的抽象集(Synopset),该集合具有视觉表示的连续性,用于对DNA纳米技术结构域中分子动力学模拟(MDS)的解释性分析。通过重新定位常用的进度栏并设计新颖的视觉效果,并将数据从域格式转换为更适合新设计的视觉效果的格式,我们构成了这套新的表示。该集合还旨在显示所有空间和时间细节,以及所有结构上的复杂性,或在各种程度上抽象它们,从而使模拟的慢速播放均可进行详细的检查或非常快速的播放,以有助于有效地识别兴趣事件,以及这两个极端之间的几个中级水平。对于任何连续的表示,我们展示了平稳,连续的过渡,使用户能够跟踪相关信息从一个表示形式到下一个表示。通过提供适合不同时间分辨率的多种表示形式,并通过平稳过渡连接,我们可以实现时间效率的仿真分析,使用户有机会详细检查和提出重要阶段,或者利用抽象表示阶段更快地跨越了平稳阶段。因此,领域专家可以在短时间内对其模拟进行可行的见解,并在短时间内进行交流。此外,新颖的表示更加直观,还使研究人员能够不熟悉MDS分析图,以更好地了解模拟结果。我们与域专家一起评估了概要对12个DNA纳米结构模拟的有效性。我们还表明,我们的一组表示形式可以系统地位于可视化空间中,称为Synopspace。

We propose a new abstraction set (SynopSet) that has a continuum of visual representations for the explanatory analysis of molecular dynamics simulations (MDS) in the DNA nanotechnology domain. By re-purposing the commonly used progress bar and designing novel visuals, as well as transforming the data from the domain format to a format that better fits the newly designed visuals, we compose this new set of representations. This set is also designed to be capable of showing all spatial and temporal details, and all structural complexity, or abstracting these to various degrees, enabling both the slow playback of the simulation for detailed examinations or very fast playback for an overview that helps to efficiently identify events of interest, as well as several intermediate levels between these two extremes. For any pair of successive representations, we demonstrate smooth, continuous transitions, enabling users to keep track of relevant information from one representation to the next. By providing multiple representations suited to different temporal resolutions and connected by smooth transitions, we enable time-efficient simulation analysis, giving users the opportunity to examine and present important phases in great detail, or leverage abstract representations to go over uneventful phases much faster. Domain experts can thus gain actionable insight about their simulations and communicate it in a much shorter time. Further, the novel representations are more intuitive and also enable researchers unfamiliar with MDS analysis graphs to better understand the simulation results. We assessed the effectiveness of SynopSet on 12 DNA nanostructure simulations together with a domain expert. We have also shown that our set of representations can be systematically located in a visualization space, dubbed SynopSpace.

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