Using OmicsNet for Network Integrationand 3D Visualization

Guangyan Zhou; Jianguo Xia

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Using OmicsNet for Network Integrationand 3D Visualization

机译：使用OMICSNET用于网络集成和3D可视化

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摘要

OmicsNet is a novel web-based tool for creating and visualizing complex biologicalnetworks in 3D space. By coupling a comprehensive knowledgebasewith the powerful WebGL technology, OmicsNet allows researchers to intuitivelyexplore molecular interactions and regulatory relationships amonggenes, transcription factors, microRNAs, and metabolites. OmicsNet fillsan important gap by facilitating multi-omics integration and systems biology.This article contains three basic protocols covering the key features ofOmicsNet, including how to create biological networks from a single or multiplelist(s) of molecules, how to integrate or enrich different types of networks, andhow to navigate the 3D visualization system to obtain biological insights. TheOmicsNet web server is freely available at https://www.omicsnet.ca.

机译：OMICSNet是一种基于网络的基于Web的工具，用于在3D空间中创建和可视化复杂生物网络。通过耦合强大的WebGL技术的全面知识库，OMICSNet允许研究人员直观地探索分子相互作用和调节关系，转录因子，微大润荷和代谢物。 OMICSNET FILLSAN通过促进多OMICS集成和系统生物学来填充重要差距。这篇文章包含三个基本协议，涵盖了ofomicnet的关键特征，包括如何从单个或多力列表中创建生物网络，如何集成或丰富不同类型作者：王莹，王莹，王莹，王莹，王莹，王莹，王莹，王莹，王莹，王莹，王莹，王莹，王莹，王莹，王莹 Theomicsnet Web服务器在https://www.omicsnet.ca上自由使用。

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《Current Protocols in Bioinformatics》 |2019年第1期|共26页
作者
Guangyan Zhou; Jianguo Xia;
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作者单位

Institute of Parasitology McGill University Sainte Anne de Bellevue Quebec Canada;

Department of Animal Sciences McGill University Sainte Anne de Bellevue Quebec Canada;

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原文格式 PDF
正文语种 eng
中图分类遗传学;
关键词
3D network visualization; metabolic network; miRNA-gene; interactions; multi-omics integration; network analysis; PPI; TF-gene; interactions; web application;

机译：3D网络可视化;代谢网络;miRNA-基因;相互作用;多OMICS集成;网络分析;PPI;TF-基因;互动;网页申请;

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专利

1. Using OmicsNet for Network Integrationand 3D Visualization [J] . Guangyan Zhou, Jianguo Xia Current Protocols in Bioinformatics . 2019,第1期

机译：使用OMICSNET用于网络集成和3D可视化
2. iCAVE: an open source tool for visualizing biomolecular networks in 3D, stereoscopic 3D and immersive 3D [J] . Vaja Liluashvili, Selim Kalayci, Eugene Fluder, GigaScience . 2017,第8期

机译：iCAVE：一种开放源代码工具，用于可视化3D，立体3D和沉浸式3D中的生物分子网络
3. An evaluation methodology for 3D deep neural networks using visualization in 3D data classification [J] . Hwang Hyun-Tae, Lee Soo-Hong, Chi Hyung Gun, Journal of Mechanical Science and Technology . 2019,第3期

机译：3D数据分类中的3D深神经网络评估方法
4. 3D DynNetVis — A 3D visualization technique for dynamic networks [C] . Tilman Gohnert, Sabrina Ziebarth, Henrik Detjen, International Workshop on Mining and Analyzing Social Networks for Decision Support;International Workshop on Social Network Analysis in Applications;International Workshop on Dynamics in Networks;Social Media and Risk;International Symposium on Network Enabled Health Informatics, Biomedicine and Bioinformatics;International Symposium on Foundations of Open Source Intelligence and Security Informatics;International Symposium on Foundations and Applications of Big Data Analytics;Multiplex Attributed Networks Mining;IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining . 2015

机译：3D DynNetVis —动态网络的3D可视化技术
5. Improving Precision of Material Extrusion 3D Printing by in-situ Monitoring and Predicting 3D Geometric Deviation Using Conditional Adversarial Networks [D] . Li, Ling. 2020

机译：通过原位监测提高材料挤出3D打印精度，并使用条件对抗网络预测3D几何偏差
6. OmicsNet: a web-based tool for creation and visual analysis of biological networks in 3D space [O] . Guangyan Zhou, Jianguo Xia 2018

机译：OmicsNet：一种基于Web的工具用于在3D空间中创建和视觉分析生物网络
7. iCAVE: an open source tool for visualizing biomolecular networks in 3D, stereoscopic 3D and immersive 3D [O] . Vaja Liluashvili, Selim Kalayci, Eugene Fluder, 2017

机译：Icave：用于在3D，立体3D和沉浸式3D中可视化生物分子网络的开源工具

Using OmicsNet for Network Integrationand 3D Visualization

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