Semantics for an Integrative and Immersive Pipeline Combining Visualization and Analysis of Molecular Data

Author:

Trellet Mikael1,Férey Nicolas2,Flotyński Jakub3,Baaden Marc4,Bourdot Patrick2

Affiliation:

1. Faculty of Science, Chemistry, Computational Structural Biology group, Bijvoet Center for Biomolecular Research, Padualaan 9, 3584CH Utrecht, Netherlands

2. VENISE Group, LIMSI, CNRS, Université Paris Sud, Orsay, France

3. Poznań Univ. of Economics and Business, Poznań, Poland

4. Laboratoire de Biochimie Théorique, CNRS, UPR9080, Institut de Biologie Physico-Chimique, Univ Paris Diderot, Sorbonne Paris Cité, PSL Research University, Paris, France

Abstract

AbstractThe advances made in recent years in the field of structural biology significantly increased the throughput and complexity of data that scientists have to deal with. Combining and analyzing such heterogeneous amounts of data became a crucial time consumer in the daily tasks of scientists. However, only few efforts have been made to offer scientists an alternative to the standard compartmentalized tools they use to explore their data and that involve a regular back and forth between them. We propose here an integrated pipeline especially designed for immersive environments, promoting direct interactions on semantically linked 2D and 3D heterogeneous data, displayed in a common working space. The creation of a semantic definition describing the content and the context of a molecular scene leads to the creation of an intelligent system where data are (1) combined through pre-existing or inferred links present in our hierarchical definition of the concepts, (2) enriched with suitable and adaptive analyses proposed to the user with respect to the current task and (3) interactively presented in a unique working environment to be explored.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

Reference68 articles.

1. GROMACS: high performance molecular simulations through multi-level parallelism from laptops to supercomputers;SoftwareX,2015

2. UCSF chimerax: meeting modern challenges in visualization and analysis;Protein Sci,2018

3. Bio2RDF: towards a mashup to build bioinformatics knowledge systems;J Biomed Inform,2008

4. Ontologies for molecular biology and bioinformatics;In Silico Biol,2002

Cited by 23 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