• DocumentCode
    2527087
  • Title

    Identifying orthologs: cycle splitting on the breakpoint graph

  • Author

    Swenson, Krister M. ; Pattengale, Nicholas D. ; Moret, Bernard M E

  • Author_Institution
    Dept. of Comput. Sci., New Mexico Univ., Albuquerque, NM, USA
  • fYear
    2005
  • fDate
    8-11 Aug. 2005
  • Firstpage
    65
  • Lastpage
    66
  • Abstract
    Gene rearrangements have successfully been used in phylogenetic reconstruction and comparative genomics but usually under the assumption that all genomes have the same gene content and that no gene is duplicated. While searching for orthologies is a common task in computational biology, it is usually done using sequence data. This paper approach that problem using gene rearrangement data. Identifying a single gene within each family on the basis of a parsimonious criterion and discarding all others. Steps were taken to remedy this problem by providing an optimization framework derived from the breakpoint graph. The basic structure describing a pair of genomes with no duplicates and equal gene content is the breakpoint graph.
  • Keywords
    biology computing; evolution (biological); genetics; gradient methods; optimisation; breakpoint graph; computational biology; gene content; gene rearrangement data; genomics; optimization; orthologies searching; phylogenetic reconstruction; sequence data; Bioinformatics; Computational biology; Computer science; Conferences; Genomics; Indexing; Phylogeny; Sequences; Terminology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE
  • Print_ISBN
    0-7695-2442-7
  • Type

    conf

  • DOI
    10.1109/CSBW.2005.73
  • Filename
    1540543