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

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 visu...

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Detalles Bibliográficos
Autores principales: Ágg, Bence, Császár, Andrea, Szalay-Bekő, Máté, Veres, Dániel V, Mizsei, Réka, Ferdinandy, Péter, Csermely, Péter, Kovács, István A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821346/
https://www.ncbi.nlm.nih.gov/pubmed/31004478
http://dx.doi.org/10.1093/bioinformatics/btz257
Descripción
Sumario: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 INFORMATION: Supplementary data are available at Bioinformatics online.