当前位置: X-MOL 学术bioRxiv. Sci. Commun. Educ. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
FAIR sharing of molecular visualization experiences: from pictures in the cloud to collaborative virtual reality exploration in immersive 3D environments
bioRxiv - Scientific Communication and Education Pub Date : 2020-08-28 , DOI: 10.1101/2020.08.27.270140
Xavier Martinez , Marc Baaden

Visualization renders structural molecular data accessible to a broad audience. We describe an approach to share molecular visualization experiences based on FAIR principles. Our workflow is exemplified with recent Covid-19 related data. Motivated by the current Covid-19 pandemic that has spurred a substantial flow of structural data we describe how molecular visualization experiences can be used to make these datasets accessible to a broad audience. Using a variety of technology vectors related to the cloud, 3D- and virtual reality gear, we examine how to share curated visualizations of structural biology, modeling and/or bioinformatics datasets for interactive and collaborative exploration. We discuss F.A.I.R. as overarching principle for sharing such visualizations. We provide four initial example scenes related to recent Covid-19 structural data together with a ready-to-use (and share) implementation in the UnityMol software.

中文翻译:

公平共享分子可视化体验:从云中的图片到沉浸式3D环境中的协作虚拟现实探索

可视化使结构分子数据可供广大受众访问。我们描述了一种基于FAIR原理分享分子可视化经验的方法。我们的工作流程以最近与Covid-19相关的数据为例。受当前激发大量结构数据的Covid-19大流行的影响,我们描述了如何使用分子可视化经验来使这些数据集可供广大受众使用。使用与云,3D和虚拟现实设备相关的各种技术载体,我们研究了如何共享结构生物学,模型和/或生物信息学数据集的精选可视化,以进行交互式和协作式探索。我们将FAIR视为共享此类可视化效果的总体原则。
更新日期:2020-08-29
down
wechat
bug