FAIR sharing of molecular visualization experiences: from pictures in the cloud to collaborative virtual reality exploration in immersive 3D environments

Author:

Martinez XavierORCID,Baaden MarcORCID

Abstract

AbstractMotivated 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.SynopsisVisualization 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.

Publisher

Cold Spring Harbor Laboratory

Reference31 articles.

1. Visualizing an unseen enemy; mobilizing structural biology to counter COVID-19;Acta Crystallogr Sect Struct Biol,2020

2. Dömling A , Gao L (2020) Chemistry and Biology of SARS-CoV-2. Chem S2451929420301959. https://doi.org/10.1016/j.chempr.2020.04.023

3. Card SK , Mackinlay J , Shneiderman B (1999) Readings in information visualization: using vision to think. 1999. San Franc Morgan Kauffman

4. The FAIR Guiding Principles for scientific data management and stewardship;Sci Data,2016

5. Blanke, Gerd , Doerner, Thomas , Lynch, Nick (2020) Chemical Data in Life Sciences R&D and the FAIR Principles. https://doi.org/10.5281/ZENODO.3970745

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3