• DocumentCode
    3325679
  • Title

    Structural variation discovery with next-generation sequencing

  • Author

    Jingyang Gao ; Fei Qi ; Rui Guan

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Beijing Univ. of Chem. Technol., Beijing, China
  • fYear
    2013
  • fDate
    23-24 Dec. 2013
  • Firstpage
    709
  • Lastpage
    711
  • Abstract
    One of the most important direction of bioinformatics is the genome structural variation discovery. In this paper, firstly we explain four sequencing-based methods, i.e., Read-pair, Read-depth, Split-read and Assembly. Secondly, the advantage and disadvantage of the approaches are discussed. Thirdly, the combination of the methods is proved to be a better one. Finally, a novel combined strategy was analyzed that will be the direction of the future.
  • Keywords
    DNA; bioinformatics; data mining; genomics; assembly methods; bioinformatics; genome structural variation discovery; next-generation sequencing; read-depth methods; read-pair methods; sequencing-based methods; split-read methods; Assembly; Bioinformatics; DNA; Genomics; Libraries; Next generation networking; Sequential analysis; bioinformatics; sequencing-based; structural variation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
  • Conference_Location
    Toronto, ON
  • Type

    conf

  • DOI
    10.1109/IMSNA.2013.6743374
  • Filename
    6743374