• DocumentCode
    1784753
  • Title

    DExTaR: Detection of exact tandem repeats based on the de Bruijn graph

  • Author

    Fertin, Guillaume ; Jean, Geraldine ; Radulescu, Andreea ; Rusu, Irena

  • Author_Institution
    LINA, Univ. of Nantes, Nantes, France
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    90
  • Lastpage
    93
  • Abstract
    Genomes present various types of repeated structures having important roles in the mechanism of evolution. In particular, tandem repeats are analysed for their impact on genetic backgrounds of inherited diseases. However, the main objective of today´s de novo assemblers is to output long, high-quality, assembled sequences; to this end, they use heuristic-based assembling procedures, which can leave many repeated regions unassembled - and in particular exact tandem repeats - due to the genomes complexity. In this paper, we propose an effective method, called DExTaR, that improves the detection of exact tandem repeats (ETRs) in any de novo de Bruijn assembly. DExTaR is based on a de Bruijn graph constructed by an assembler and retrieves ETRs left unassembled. When used with the well-known assembler ABySS, we show that DExTaR is able to obtain high quality results in terms of number and length of the detected ETRs.
  • Keywords
    diseases; genetics; genomics; graph theory; ABySS assembler; DExTaR; ETR detection; de Bruijn graph; de novo assemblers; exact tandem repeat detection; genetic backgrounds; genomes; heuristic-based assembling procedures; high-quality assembled sequence; inherited diseases; Assembly; Bioinformatics; Biological cells; DNA; Genomics; Next generation networking; Sequential analysis; Next Generation Sequencing; de Bruijn graph; exact tandem repeat;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
  • Conference_Location
    Belfast
  • Type

    conf

  • DOI
    10.1109/BIBM.2014.6999134
  • Filename
    6999134