EUROVIS 2005: Eurographics / IEEE VGTC Symposium on Visualization
2005
pp. 191-198

GVis: A Scalable Visualization Framework for Genomic Data

Jin Hong, Dong Hyun Jeong, Chris D Shaw, William Ribarsky, Mark Borodovsky, and Chang Song

DOI: 10.2312/VisSym/EuroVis05/191-198

This paper describes a framework we have developed for the visual analysis of large-scale phylogeny hierarchies populated with the genomic data of various organisms. This framework allows the user to quickly browse the phylogeny hierarchy of organisms from the highest level down to the level of an individual genome for the desired organism of interest. Based on this framework, the user can initiate gene-finding and gene-matching analyses and view the resulting annotated coding potential graphs in the same multi-scale visualization framework, permitting correlative analysis and further investigation. This paper introduces our framework and describes the data structures and algorithms that support it.

Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: visualization, interactive analysis

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