• DocumentCode
    1151680
  • Title

    Colored de Bruijn Graphs and the Genome Halving Problem

  • Author

    Alekseyev, Max A. ; Pevzner, Pavel A.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., California Univ., San Diego, La Jolla, CA
  • Volume
    4
  • Issue
    1
  • fYear
    2007
  • Firstpage
    98
  • Lastpage
    107
  • Abstract
    Breakpoint graph analysis is a key algorithmic technique in studies of genome rearrangements. However, breakpoint graphs are defined only for genomes without duplicated genes, thus limiting their applications in rearrangement analysis. We discuss a connection between the breakpoint graphs and de Bruijn graphs that leads to a generalization of the notion of breakpoint graph for genomes with duplicated genes. We further use the generalized breakpoint graphs to study the genome halving problem (first introduced and solved by Nadia El-Mabrouk and David Sankoff). The El-Mabrouk-Sankoff algorithm is rather complex, and, in this paper, we present an alternative approach that is based on generalized breakpoint graphs. The generalized breakpoint graphs make the El-Mabrouk-Sankoff result more transparent and promise to be useful in future studies of genome rearrangements
  • Keywords
    biology computing; genetics; graphs; molecular biophysics; El-Mabrouk-Sankoff algorithm; breakpoint graph analysis; colored de Bruijn graphs; genes; genome halving problem; genome rearrangements; Algorithm design and analysis; Bioinformatics; Biological cells; Computational biology; Computer science; DNA; Genomics; Helium; Notice of Violation; Sequences; Genome duplication; breakpoint graph; de Bruijn graph.; genome halving; genome rearrangement; reversal; Algorithms; Animals; Computational Biology; DNA, Circular; Evolution, Molecular; Gene Duplication; Gene Rearrangement; Genome; Humans; Models, Genetic;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2007.1002
  • Filename
    4104463