The EntOptLayout Cytoscape plug-in for the efficient visualization of major protein complexes in protein-protein interaction and signalling networks

TL;DR

The EntOptLayout Cytoscape plug-in offers an efficient method for visualizing major protein complexes within complex biological networks, significantly reducing information loss and improving interpretability over traditional visualization techniques.

Contribution

This paper introduces a novel Cytoscape plug-in based on network representation theory that enhances visualization of network modules with quality scoring.

Findings

Achieves 3- to 25-fold reduction in information loss compared to conventional methods.

Effectively visualizes protein complexes in interaction and signaling networks.

Available as a free, cross-platform tool with tutorials.

Abstract

Motivation: Network visualizations of complex biological datasets usually result in 'hairball' images, which do not discriminate network modules. Results: We present the EntOptLayout Cytoscape plug-in based on a recently developed network representation theory. The plug-in provides an efficient visualization of network modules, which represent major protein complexes in protein-protein interaction and signalling networks. Importantly, the tool gives a quality score of the network visualization by calculating the information loss between the input data and the visual representation showing a 3- to 25-fold improvement over conventional methods. Availability and implementation: The plug-in (running on Windows, Linux, or Mac OS) and its tutorial (both in written and video forms) can be downloaded freely under the terms of the MIT license from: http://apps.cytoscape.org/apps/entoptlayout. Supplementary data are available at Bioinformatics online. Contact: csermely.peter@med.semmelweis-univ.hu