PhyloMiner: A tool for evolutionary data analysis

Sen Zhang, Katherine G. Herbert, Jason T.L. Wang, William H. Piel, David R.B. Stockwell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 supertree 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.

Original languageEnglish
Title of host publicationProceedings - 18th International Conference on Scientific and Statistical Database Management, SSDBM 2006
Pages129-132
Number of pages4
DOIs
StatePublished - 1 Dec 2006
Event18th International Conference on Scientific and Statistical Database Management, SSDBM 2006 - Vienna, Australia
Duration: 3 Jul 20065 Jul 2006

Publication series

NameProceedings of the International Conference on Scientific and Statistical Database Management, SSDBM
ISSN (Print)1099-3371

Other

Other18th International Conference on Scientific and Statistical Database Management, SSDBM 2006
CountryAustralia
CityVienna
Period3/07/065/07/06

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  • Cite this

    Zhang, S., Herbert, K. G., Wang, J. T. L., Piel, W. H., & Stockwell, D. R. B. (2006). PhyloMiner: A tool for evolutionary data analysis. In Proceedings - 18th International Conference on Scientific and Statistical Database Management, SSDBM 2006 (pp. 129-132). [1644306] (Proceedings of the International Conference on Scientific and Statistical Database Management, SSDBM). https://doi.org/10.1109/SSDBM.2006.39