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Why Integrate InfoVis and SciVis?: An Example from Systems Biology
Linnaeus University, Faculty of Technology, Department of Computer Science. (ISOVIS)ORCID iD: 0000-0002-0519-2537
Monash Univ, Australia.
2014 (English)In: IEEE Computer Graphics and Applications, ISSN 0272-1716, E-ISSN 1558-1756, Vol. 34, no 6, 69-73 p.Article in journal (Other academic) Published
Abstract [en]

The more-or-less artificial barrier between information visualization and scientific visualization hinders knowledge discovery. Having an integrated view of many aspects of the target data, including a seamlessly interwoven visual display of structural abstract data and 3D spatial information, could lead to new discoveries, insights, and scientific questions. Such a view also could reduce the user’s cognitive load—that is, reduce the effort the user expends when comparing views.

Place, publisher, year, edition, pages
IEEE, 2014. Vol. 34, no 6, 69-73 p.
Keyword [en]
information visualization, scientific visualization, InfoVis, SciVis, systems biology, metabolic networks, computer graphics, graphics
National Category
Computer Science Bioinformatics (Computational Biology) Bioinformatics and Systems Biology Human Computer Interaction
Research subject
Computer Science, Information and software visualization
Identifiers
URN: urn:nbn:se:lnu:diva-36294DOI: 10.1109/MCG.2014.122ISI: 000345069000010OAI: oai:DiVA.org:lnu-36294DiVA: diva2:736254
Available from: 2014-08-05 Created: 2014-08-05 Last updated: 2017-04-24Bibliographically approved

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Kerren, Andreas
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