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

Author:

Auer Florian1ORCID,Kramer Frank1ORCID

Affiliation:

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

Abstract

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 Bioinformatics Advances online.

Funder

German Ministry of Education and Research

Publisher

Oxford University Press (OUP)

Subject

Cell Biology,Developmental Biology,Embryology,Anatomy

Reference10 articles.

1. ndexr—an R package to interface with the network data exchange;Auer;Bioinformatics,2018

2. The igraph software package for complex network research;Csardi;InterJournal, complex systems,2006

3. Cytoscape.Js: a graph theory library for visualisation and analysis;Franz;Bioinformatics,2016

4. RBiopaxParser – an R package to parse, modify and visualize BioPAX data;Kramer;Bioinformatics,2013

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