DocumentCode :
2121342
Title :
PhyloMiner: A Tool for Evolutionary Data Analysis
Author :
Zhan, Sen ; Herbert, Katherine G. ; Wang, Jason T L ; Piel, William H. ; Stockwell, David R B
Author_Institution :
Dept. of Math., Comput. Sci. & Stat., State Univ. of New York, Oneonta, NY
fYear :
0
fDate :
0-0 0
Firstpage :
129
Lastpage :
132
Abstract :
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 super tree patterns, 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 phytogenies. 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
Keywords :
biology computing; data analysis; data mining; genetics; PhyloMiner tool; World Wide Web; evolutionary data analysis; frequent agreement subtree discovery; frequent pattern mining; phylogenetic tree technique; Biological system modeling; Computer science; Data analysis; Databases; Drugs; Pathogens; Phylogeny; Reconstruction algorithms; Statistics; Terrorism;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Scientific and Statistical Database Management, 2006. 18th International Conference on
Conference_Location :
Vienna
ISSN :
1551-6393
Print_ISBN :
0-7695-2590-3
Type :
conf
DOI :
10.1109/SSDBM.2006.39
Filename :
1644306
Link To Document :
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