• DocumentCode
    78253
  • Title

    Genome-Guided Transcriptome Assembly in the Age of Next-Generation Sequencing

  • Author

    Florea, Liliana D. ; Salzberg, Steven L.

  • Author_Institution
    Johns Hopkins Sch. of Med., McKusick-Nathans Inst. of Genetic Med., Baltimore, MD, USA
  • Volume
    10
  • Issue
    5
  • fYear
    2013
  • fDate
    Sept.-Oct. 2013
  • Firstpage
    1234
  • Lastpage
    1240
  • Abstract
    Next generation sequencing technologies provide unprecedented power to explore the repertoire of genes and their alternative splice variants, collectively defining the transcriptome of a species in great detail. However, assembling the short reads into full-length gene and transcript models presents significant computational challenges. We review current algorithms for assembling transcripts and genes from next generation sequencing reads aligned to a reference genome, and lay out areas for future improvements.
  • Keywords
    bioinformatics; genetics; genomics; reviews; self-assembly; gene repertoire; gene splice variants; gene transcript assembly; genome-guided transcriptome assembly; next-generation sequencing technologies; Algorithm design and analysis; Biological system modeling; Decision support systems; Genetics; Algorithms; biology and genetics; computer applications; medicine and science;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2013.140
  • Filename
    6654138