• DocumentCode
    2412816
  • Title

    Enhanced reference guided assembly

  • Author

    Cattonaro, Federica ; Policriti, Alberto ; Vezzi, Francesco

  • Author_Institution
    IGA Appl. Genomics Inst., Udine, Italy
  • fYear
    2010
  • fDate
    18-21 Dec. 2010
  • Firstpage
    77
  • Lastpage
    80
  • Abstract
    Next Generation Sequencing has totally changed genomics: we are able to produce huge amounts of data at an incredible low cost if compared to Sanger sequencing. Despite this some old problems have become even more difficult, de-novo assembly being on top of this list. In this paper we propose a novel method that aims at improving de-novo assembly in presence of a closely related reference. The idea is to combine de-novo assembly and reference guided assembly in order to obtain an enhanced assembly.
  • Keywords
    DNA; genomics; molecular biophysics; de novo assembly; enhanced reference guided assembly; genomics; next generation sequencing; Artificial neural networks; Assembly; Bioinformatics; Genomics; Next generation networking; Organisms; Pipelines; De-Novo Assembly; NGS; reference assembly;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2010 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-8306-8
  • Electronic_ISBN
    978-1-4244-8307-5
  • Type

    conf

  • DOI
    10.1109/BIBM.2010.5706540
  • Filename
    5706540
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2412816