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RCX——一个用于生物网络的适配Cytoscape交换格式的R软件包。

RCX-an R package adapting the Cytoscape Exchange format for biological networks.

作者信息

Auer Florian, Kramer Frank

机构信息

Department of IT-Infrastructure for Translational Medical Research, Faculty of Applied Computer Science, University of Augsburg, Augsburg 86159, Germany.

出版信息

Bioinform Adv. 2022 Mar 31;2(1):vbac020. doi: 10.1093/bioadv/vbac020. eCollection 2022.

Abstract

MOTIVATION

The Cytoscape Exchange (CX) format is a JSON-based data structure designed for the transmission of biological networks using standard web technologies. It was developed by the network data exchange, which itself serves as online commons to share and collaborate on biological networks. Furthermore, the Cytoscape software for the analysis and visualization of biological networks contributes structure elements to capture the visual layout within the CX format. However, there is a fundamental difference between data handling in web standards and R. A manual conversion requires detailed knowledge of the CX format to reproduce and work with the networks.

RESULTS

Here, we present a software package to create, handle, validate, visualize and convert networks in CX format to standard data types and objects within R. Networks in this format can serve as a source for biological knowledge and also capture the results of the analysis of those while preserving the visual layout across all platforms. The RCX package connects the R environment for statistical computing with outside platforms for storage and collaboration, as well as further analysis and visualization of biological networks.

AVAILABILITY

RCX is a free and open-source R package, available on Bioconductor from release 3.15 (https://bioconductor.org/packages/RCX) and via GitHub (https://github.com/frankkramer-lab/RCX).

SUPPLEMENTARY INFORMATION

Supplementary data are available at online.

摘要

动机

Cytoscape Exchange(CX)格式是一种基于JSON的数据结构,旨在使用标准网络技术传输生物网络。它由网络数据交换开发,该交换本身作为在线共享平台,用于生物网络的共享和协作。此外,用于生物网络分析和可视化的Cytoscape软件提供了结构元素,以在CX格式中捕获视觉布局。然而,网络标准中的数据处理与R之间存在根本差异。手动转换需要详细了解CX格式才能重现和处理网络。

结果

在这里,我们展示了一个软件包,用于在R中创建、处理、验证、可视化CX格式的网络,并将其转换为标准数据类型和对象。这种格式的网络可以作为生物知识的来源,同时在保留所有平台上的视觉布局的情况下捕获对这些网络的分析结果。RCX包将用于统计计算的R环境与用于存储和协作的外部平台连接起来,以及用于生物网络的进一步分析和可视化。

可用性

RCX是一个免费的开源R包,可从Bioconductor 3.15版本(https://bioconductor.org/packages/RCX)和GitHub(https://github.com/frankkramer-lab/RCX)获得。

补充信息

补充数据可在网上获取。

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