• Media type: E-Article
  • Title: The EntOptLayout Cytoscape plug-in for the efficient visualization of major protein complexes in protein–protein interaction and signalling networks
  • Contributor: Ágg, Bence; Császár, Andrea; Szalay-Bekő, Máté; Veres, Dániel V; Mizsei, Réka; Ferdinandy, Péter; Csermely, Péter; Kovács, István A
  • imprint: Oxford University Press (OUP), 2019
  • Published in: Bioinformatics
  • Language: English
  • DOI: 10.1093/bioinformatics/btz257
  • ISSN: 1367-4803; 1367-4811
  • Keywords: Computational Mathematics ; Computational Theory and Mathematics ; Computer Science Applications ; Molecular Biology ; Biochemistry ; Statistics and Probability
  • Origination:
  • Footnote:
  • Description: <jats:title>Abstract</jats:title> <jats:sec> <jats:title>Motivation</jats:title> <jats:p>Network visualizations of complex biological datasets usually result in ‘hairball’ images, which do not discriminate network modules.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>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.</jats:p> </jats:sec> <jats:sec> <jats:title>Availability and implementation</jats:title> <jats:p>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.</jats:p> </jats:sec> <jats:sec> <jats:title>Supplementary information</jats:title> <jats:p>Supplementary data are available at Bioinformatics online.</jats:p> </jats:sec>
  • Access State: Open Access