Comparison of Multiple Weighted Hierarchies: Visual Analytics for Microbe Community Profiling

dc.contributor.authorDinkla, Kasperen_US
dc.contributor.authorWestenberg, M. A.en_US
dc.contributor.authorTimmerman, H. M.en_US
dc.contributor.authorHijum, S.A.F.T. vanen_US
dc.contributor.authorWijk, J. J. vanen_US
dc.contributor.editorH. Hauser, H. Pfister, and J. J. van Wijken_US
dc.date.accessioned2014-02-21T20:24:02Z
dc.date.available2014-02-21T20:24:02Z
dc.date.issued2011en_US
dc.description.abstractWe propose visual analytics techniques to support concurrent comparison of hundreds of cumulatively weighted instances of a single hierarchy. This includes a node-link representation of the hierarchy where nodes depict the weights of all instances with high-density heat maps that are grouped and aligned to ease cross-referencing. Hierarchy exploration is facilitated by smoothly animated expansion and collapse of its branches. Detailed infor- mation about hierarchy structure, weights, and meta-data is provided by secondary linked visualizations. These techniques have been implemented in a prototype tool, in which the computational analysis concerns have been strictly separated from the visualization concerns. The analysis algorithms are extensible via a script engine. We discuss the effectiveness of our techniques for the visual analytic process of microbe community profiling experts.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume30en_US
dc.identifier.doi10.1111/j.1467-8659.2011.01963.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2011.01963.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.subjectI.3.6 [Computer Graphics]en_US
dc.subjectMethodology and techniquesen_US
dc.subjectInteraction techniquesen_US
dc.subjectJ.3 [Computer Applications]en_US
dc.subjectLife and Medical Sciencesen_US
dc.subjectBiology and geneticsen_US
dc.titleComparison of Multiple Weighted Hierarchies: Visual Analytics for Microbe Community Profilingen_US
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