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BARD: A visualization tool for biological sequence analysis
Seattle, Washington October 20-October 21
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/INFVIS.2003.12490292003 IEEE Symposium on Information Vi ...
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Rhazes Spell, Duke University
Rachael Brady, Duke University
Fred Dietrich, Duke University Medical Center
We present BARD (biological arc diagrams), a visualization tool for biological sequence analysis. The development of BARD began with the application of Wattenberg's arc diagrams [Wattenberg 2002] to results from sequence analysis programs, such as BLAST [Altschul et al. 1990]. In this paper, we extend the initial arc diagram concept in two ways: 1) by separating the visualization method from the underlying matching algorithm and 2) by expanding the types of matches to include inexact matches, complemented palindrome matches, and inter-sequence matches. BARD renders each type of match distinctly, resulting in a powerful tool to quickly understand sequence similarities and differences. We illustrate the power of BARD by applying the technique to a comparative sequence analysis of the human pathogenic fungi Cryptococcus neoformans.
Index Terms:
sequence analysis, comparative genomics, visualization, arc diagram, BARD
Citation:
Rhazes Spell, Rachael Brady, Fred Dietrich, "BARD: A visualization tool for biological sequence analysis," infovis, pp.28, 2003 IEEE Symposium on Information Visualization (InfoVis 2003), 2003
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