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Visual Network Analysis of Dynamic Metabolic Pathways
Leipzig University.
Leipzig University.
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (ISOVIS)ORCID iD: 0000-0002-0519-2537
Leipzig University, Germany.
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2010 (English)In: Advances in Visual Computing: 6th International Symposium, ISVC 2010, Las Vegas, NV, USA, November 29-December 1, 2010. Proceedings, Part I / [ed] George Bebis, Richard Boyle, Bahram Parvin et al., Berlin Heidelberg New Work: Springer, 2010, p. 316-327Conference paper, Published paper (Refereed)
Abstract [en]

We extend our previous work on the exploration of static metabolic networks to evolving, and therefore dynamic, pathways. We apply our visualization software to data from a simulation of early metabolism. Thereby, we show that our technique allows us to test and argue for or against different scenarios for the evolution of metabolic pathways. This supports a profound and efficient analysis of the structure and properties of the generated metabolic networks and its underlying components, while giving the user a vivid impression of the dynamics of the system. The analysis process is inspired by Ben Shneiderman’s mantra of information visualization. For the overview, user-defined diagrams give insight into topological changes of the graph as well as changes in the attribute set associated with the participating enzymes, substances and reactions. This way, “interesting features” in time as well as in space can be recognized. A linked view implementation enables the navigation into more detailed layers of perspective for in-depth analysis of individual network configurations.

Place, publisher, year, edition, pages
Berlin Heidelberg New Work: Springer, 2010. p. 316-327
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 6453
Keywords [en]
Metabolic Networks, Pathway Evolution, Extreme Pathways, Dynamic Network Visualization, Time-dependent Visualization.
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-8030DOI: 10.1007/978-3-642-17289-2_31Scopus ID: 2-s2.0-78650779113ISBN: 3-642-17288-1 (print)OAI: oai:DiVA.org:lnu-8030DiVA, id: diva2:346565
Conference
6th International Symposium, ISVC 2010, Las Vegas, NV, USA, November 29-December 1, 2010
Available from: 2010-09-01 Created: 2010-09-01 Last updated: 2018-01-12Bibliographically approved

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Publisher's full textScopushttp://www.springerlink.com/content/948q40488qp31212/

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Kerren, Andreas

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CiteExportLink to record
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Citation style
  • apa
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