Suppr超能文献

JNets:通过整合注释来探索网络。

JNets: exploring networks by integrating annotation.

作者信息

Macpherson Jamie I, Pinney John W, Robertson David L

机构信息

Faculty of Life Sciences, Michael Smith Building, University of Manchester, Oxford Road, Manchester, M13 9PT, UK.

出版信息

BMC Bioinformatics. 2009 Mar 26;10:95. doi: 10.1186/1471-2105-10-95.

Abstract

BACKGROUND

A common method for presenting and studying biological interaction networks is visualization. Software tools can enhance our ability to explore network visualizations and improve our understanding of biological systems, particularly when these tools offer analysis capabilities. However, most published network visualizations are static representations that do not support user interaction.

RESULTS

JNets was designed as a network visualization tool that incorporates annotation to explore the underlying features of interaction networks. The software is available as an application and a configurable applet that can provide a flexible and dynamic online interface to many types of network data. As a case study, we use JNets to investigate approved drug targets present within the HIV-1 Human protein interaction network. Our software highlights the intricate influence that HIV-1 has on the host immune response.

CONCLUSION

JNets is a software tool that allows interaction networks to be visualized and studied remotely, from within a standard web page. Therefore, using this free software, network data can be presented in an enhanced, interactive format. More information about JNets is available at http://www.manchester.ac.uk/bioinformatics/jnets.

摘要

背景

呈现和研究生物相互作用网络的一种常用方法是可视化。软件工具能够增强我们探索网络可视化的能力,并增进我们对生物系统的理解,尤其是当这些工具具备分析功能时。然而,大多数已发表的网络可视化都是静态呈现,不支持用户交互。

结果

JNets被设计为一种网络可视化工具,它结合注释来探索相互作用网络的潜在特征。该软件以应用程序和可配置小程序的形式提供,可为多种类型的网络数据提供灵活且动态的在线界面。作为一个案例研究,我们使用JNets来研究HIV-1人类蛋白质相互作用网络中存在的已批准药物靶点。我们的软件突出了HIV-1对宿主免疫反应的复杂影响。

结论

JNets是一种软件工具,它允许在标准网页内远程可视化和研究相互作用网络。因此,使用这个免费软件,可以以增强的交互式格式呈现网络数据。有关JNets的更多信息可在http://www.manchester.ac.uk/bioinformatics/jnets获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f5/2674432/3f2a0c2b11e1/1471-2105-10-95-1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验