• 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