• DocumentCode
    464285
  • Title

    An Experimental Evaluation of Inversion-and Transposition-Based Genomic Distances through Simulations

  • Author

    Kothari, Moulik ; Moret, Bernard M E

  • Author_Institution
    Dept. of Comput. Sci., New Mexico Univ., Albuquerque, NM
  • fYear
    2007
  • fDate
    1-5 April 2007
  • Firstpage
    151
  • Lastpage
    158
  • Abstract
    Rearrangements of genes and other syntenic blocks have become a topic of intensive study by phylogenists, comparative genomicists, and computational biologists: they are a feature of many cancers, must be taken into account to align highly divergent sequences, and constitute a phylogenetic marker of great interest. The mathematics of rearrangements is far more complex than for indels and mutations in sequences. Inversions have been well characterized through 20 years of work, but transpositions still await comparable results. We can compute inversion and DCJ (a combination of inversions and block exchanges) distances, and bounds on the transposition distance. The first has been extensively used in comparative genomics and phylogenetics, the second is quite new, and the third has not seen significant use to date. We present here a detailed experimental study of these three distance measures within the context of genome comparison (pairwise distances) and phylogenetic reconstruction. We used data generated through simulated evolution along various trees, using various evolutionary rates and various mixes of inversions and transpositions. Our main finding is that inversion and DCJ measures return very similar results even on data generated using only transpositions, while the measure based on Hartman´s bound is often too loose to provide comparable accuracy in genomic comparisons or phylogenetic reconstruction
  • Keywords
    biology computing; evolution (biological); genetics; genes rearrangement; inversion-based genomic distances; phylogenetic marker; phylogenetic reconstruction; simulated evolution; transposition-based genomic distances; Bioinformatics; Biological system modeling; Biology computing; Cancer; Computational modeling; Evolution (biology); Genetic mutations; Genomics; Mathematics; Phylogeny;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Bioinformatics and Computational Biology, 2007. CIBCB '07. IEEE Symposium on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    1-4244-0710-9
  • Type

    conf

  • DOI
    10.1109/CIBCB.2007.4221217
  • Filename
    4221217