• DocumentCode
    2189592
  • Title

    TreeZip: A New Algorithm for Compressing Large Collections of Evolutionary Trees

  • Author

    Matthews, Suzanne J. ; Sul, Seung-Jin ; Williams, Tiffani L.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Texas A&M Univ., College Station, TX, USA
  • fYear
    2010
  • fDate
    24-26 March 2010
  • Firstpage
    544
  • Lastpage
    544
  • Abstract
    The primary advantage of TreeZip is its use of semantic compression, which allows us to uniquely store tree relationship information. Phylogenetic trees are stored in a format known as a Newick representation, which uses nested parentheses to represent the evolutionary relationships (or subtrees) within a phylogenetic tree. TreeZip uses two universal hashing functions in order to represent compactly all of the shared evolutionary relationships in the tree collection. In our previous work, we have used successively universal hash functions in our HashCS and HashRF algorithms that build consensus trees and topological distance matrices, respectively. Once the hash table is constructed, the TreeZip then writes the compressed file depicting the information contained in the collection of phylogenetic trees.
  • Keywords
    cryptography; data compression; evolutionary computation; trees (mathematics); Newick representation; TreeZip; evolutionary trees; file compression; phylogenetic tree; semantic compression; subtrees; universal hashing functions; Compression algorithms; Computer science; Data compression; Data engineering; History; Organisms; Phylogeny; Robustness; Standards development; Testing; compression; evolutionary tree; phylogeny; trees; treezip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference (DCC), 2010
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    978-1-4244-6425-8
  • Electronic_ISBN
    1068-0314
  • Type

    conf

  • DOI
    10.1109/DCC.2010.64
  • Filename
    5453499