Journal
BIOINFORMATICS
Volume 35, Issue 21, Pages 4490-4492Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btz257
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Funding
- Hungarian National Research, Development and Innovation Office [NVKP_16-1-2016-0017, KH_17125570, K115378]
- Higher Education Institutional Excellence Programme of the Ministry of Human Capacities in Hungary of the Semmelweis University
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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.
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