GVis: A Scalable Visualization Framework for Genomic Data
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Date
2005
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
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.
Description
@inproceedings{:10.2312/VisSym/EuroVis05/191-198,
booktitle = {EUROVIS 2005: Eurographics / IEEE VGTC Symposium on Visualization},
editor = {Ken Brodlie and David Duke and Ken Joy},
title = {{GVis: A Scalable Visualization Framework for Genomic Data}},
author = {Hong, Jin and Jeong, Dong Hyun and Shaw, Chris D and Ribarsky, William and Borodovsky, Mark and Song, Chang},
year = {2005},
publisher = {The Eurographics Association},
ISSN = {1727-5296},
ISBN = {3-905673-19-3},
DOI = {/10.2312/VisSym/EuroVis05/191-198}
}