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BioPAXViz: a cytoscape application for the visual exploration of metabolic pathway evolution.
Psomopoulos, Fotis E; Vitsios, Dimitrios M; Baichoo, Shakuntala; Ouzounis, Christos A.
Affiliation
  • Psomopoulos FE; Computational Genomics Unit, Institute of Applied Biosciences, Center for Research & Technology Hellas (CERTH), GR-57001 Thessalonica, Greece.
  • Vitsios DM; Computational Genomics Unit, Institute of Applied Biosciences, Center for Research & Technology Hellas (CERTH), GR-57001 Thessalonica, Greece.
  • Baichoo S; The European Bioinformatics Institute, EMBL Cambridge Outstation, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
  • Ouzounis CA; Department of Computer Science & Engineering, Faculty of Engineering, University of Mauritius, Reduit 80837, Mauritius.
Bioinformatics ; 33(9): 1418-1420, 2017 05 01.
Article in En | MEDLINE | ID: mdl-28453679
ABSTRACT

Summary:

BioPAXViz is a Cytoscape (version 3) application, providing a comprehensive framework for metabolic pathway visualization. Beyond the basic parsing, viewing and browsing roles, the main novel function that BioPAXViz provides is a visual comparative analysis of metabolic pathway topologies across pre-computed pathway phylogenomic profiles given a species phylogeny. Furthermore, BioPAXViz supports the display of hierarchical trees that allow efficient navigation through sets of variants of a single reference pathway. Thus, BioPAXViz can significantly facilitate, and contribute to, the study of metabolic pathway evolution and engineering. Availability and Implementation BioPAXViz has been developed as a Cytoscape app and is available at https//github.com/CGU-CERTH/BioPAX.Viz. The software is distributed under the MIT License and is accompanied by example files and data. Additional documentation is available at the aforementioned GitHub repository. Contact ouzounis@certh.gr.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Evolution, Molecular / Computational Biology / Metabolic Networks and Pathways Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2017 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Evolution, Molecular / Computational Biology / Metabolic Networks and Pathways Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2017 Document type: Article Affiliation country: