Suppr超能文献

从虚拟现实到生物信息学中的沉浸式分析

From Virtual Reality to Immersive Analytics in Bioinformatics.

作者信息

Sommer Björn, Baaden Marc, Krone Michael, Woods Andrew

机构信息

Computational Life Sciences, Department of Computer and Information Science, University of Konstanz, Konstanz, Germany.

Faculty of Information Technology, Monash University, Melbourne, Australia.

出版信息

J Integr Bioinform. 2018 Jul 9;15(2):20180043. doi: 10.1515/jib-2018-0043.

Abstract

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.

摘要

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。

相似文献

5
DXR: A Toolkit for Building Immersive Data Visualizations.DXR:用于构建沉浸式数据可视化的工具包。
IEEE Trans Vis Comput Graph. 2019 Jan;25(1):715-725. doi: 10.1109/TVCG.2018.2865152. Epub 2018 Aug 20.
6
Molecular Visualization on the Holodeck.分子在全息甲板上的可视化。
J Mol Biol. 2018 Oct 19;430(21):3982-3996. doi: 10.1016/j.jmb.2018.06.040. Epub 2018 Jun 28.
8
Immersive Virtual Colonoscopy.沉浸式虚拟结肠镜检查。
IEEE Trans Vis Comput Graph. 2019 May;25(5):2011-2021. doi: 10.1109/TVCG.2019.2898763. Epub 2019 Feb 14.

引用本文的文献

2
[Not Available].[不可用]。
Adv Lab Med. 2024 Feb 19;5(2):166-172. doi: 10.1515/almed-2024-0004. eCollection 2024 Jun.
3
Applications of the metaverse in medicine and healthcare.元宇宙在医学与医疗保健中的应用。
Adv Lab Med. 2023 Dec 29;5(2):159-165. doi: 10.1515/almed-2023-0124. eCollection 2024 Jun.
5
Bioinformatics and the Metaverse: Are We Ready?生物信息学与元宇宙:我们准备好了吗?
Front Bioinform. 2022 May 12;2:863676. doi: 10.3389/fbinf.2022.863676. eCollection 2022.
6
Grand Challenges in Bioinformatics Data Visualization.生物信息学数据可视化中的重大挑战。
Front Bioinform. 2021 Jun 17;1:669186. doi: 10.3389/fbinf.2021.669186. eCollection 2021.

本文引用的文献

1
Heuristic Modeling and 3D Stereoscopic Visualization of a Chlamydomonas reinhardtii Cell.莱茵衣藻细胞的启发式建模与3D立体可视化
J Integr Bioinform. 2018 Jul 11;15(2):/j/jib.2018.15.issue-2/jib-2018-0003/jib-2018-0003.xml. doi: 10.1515/jib-2018-0003.
10
The Protein Data Bank.蛋白质数据库。
Nucleic Acids Res. 2000 Jan 1;28(1):235-42. doi: 10.1093/nar/28.1.235.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验