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Published Articles >> Table of Contents >> Abstract
18th International Conference on Scientific and Statistical Database Management (SSDBM'06)
pp. 129-132
PhyloMiner: A Tool for Evolutionary Data Analysis
Sen Z h a n g, University of New York, College at Oneonta, Ravine Parkway
Katherine G. Herbert, Montclair State University, Montclair, NJ
Jason T. L. Wang, New Jersey Institute of Technology, University Heights, Newark, NJ
William H. Piel, University at Buffalo, Buffalo, NY
David R. B. Stockwell, University of California, San Diego
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SSDBM.2006.39
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| Abstract |
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Currently, phylogenetic tree techniques are being used
in multiple areas, from Tree of Life problems to pathogen
recognition to drug discovery. With all of these applications
for phylogenetic tree techniques, methods are needed
to exploit the knowledge modeled in phylogenetic trees more
thoroughly. One such information point of interest is the
behavior of frequent patterns in phylogenetic trees. While
there are many techniques that look at maximal, consensus
and supertreepatterns, there are few techniques that look at
frequent, but not maximal pattern. This demonstration paper
presents PhyloMiner, a tool that automatically discovers
frequent agreement subtrees from multiple phylogenies.
It introduces this topic of frequent agreement subtrees and
then concludes with describing the PhyloMiner tool that implements
these concepts and is available freely on the World
Wide Web.
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 Additional Information
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Citation:
Sen Z h a n g, Katherine G. Herbert, Jason T. L. Wang, William H. Piel, David R. B. Stockwell,
"PhyloMiner: A Tool for Evolutionary Data Analysis,"
ssdbm,
pp. 129-132,
18th International Conference on Scientific and Statistical Database Management (SSDBM'06),
2006
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