Sommer Björn, Baaden Marc, Krone Michael, Woods Andrew
Computational Life Sciences, Department of Computer and Information Science, University of Konstanz, Konstanz, Germany.
Faculty of Information Technology, Monash University, Melbourne, Australia.
J Integr Bioinform. 2018 Jul 9;15(2):20180043. doi: 10.1515/jib-2018-0043.
Bioinformatics-related research produces huge heterogeneous amounts of data. This wealth of information includes data describing metabolic mechanisms and pathways, proteomics, transcriptomics, and metabolomics. Often, the visualization and exploration of related structural - usually molecular - data plays an important role in the aforementioned contexts. For decades, virtual reality (VR)-related technologies were developed and applied to Bioinformatics problems. Often, these approaches provide "just" visual support of the analysis, e.g. in the case of exploring and interacting with a protein on a 3D monitor and compatible interaction hardware. Moreover, in the past these approaches were limited to cost-intensive professional visualization facilities. The advent of new affordable, and often mobile technologies, provides high potential for using similar approaches on a regular basis for daily research. Visual Analytics is successfully being used for several years to analyze complex and heterogeneous datasets. Immersive Analytics combines these approaches now with new immersive and interactive technologies. This publication provides a short overview of related technologies, their history and Bioinformatics-related approaches. Six new applications on the path from VR to Immersive Analytics are being introduced and discussed.
生物信息学相关研究产生了大量异构数据。这些丰富的信息包括描述代谢机制和途径、蛋白质组学、转录组学和代谢组学的数据。通常,相关结构(通常是分子)数据的可视化和探索在上述背景中起着重要作用。几十年来,虚拟现实(VR)相关技术得到了发展并应用于生物信息学问题。通常,这些方法“仅仅”提供分析的视觉支持,例如在3D显示器和兼容交互硬件上探索蛋白质并与之交互的情况下。此外,过去这些方法仅限于成本高昂的专业可视化设施。新的经济实惠且通常为移动设备的技术的出现,为在日常研究中定期使用类似方法提供了巨大潜力。视觉分析已成功应用多年,用于分析复杂和异构数据集。沉浸式分析现在将这些方法与新的沉浸式和交互式技术相结合。本出版物简要概述了相关技术、它们的历史以及与生物信息学相关的方法。正在介绍和讨论从VR到沉浸式分析过程中的六个新应用。