• DocumentCode
    3484101
  • Title

    Predicting KRAS-targeting MicroRNAs using in silico approach

  • Author

    Tee, Sim-Hui ; Lim, Sin-Liang

  • Author_Institution
    Faculty of Creative Multimedia, Multimedia University 63100 Cyberjaya, Malaysia
  • fYear
    2011
  • fDate
    5-6 Dec. 2011
  • Firstpage
    913
  • Lastpage
    916
  • Abstract
    MicroRNAs are small non-coding genes that regulate the expression of the protein-coding genes. As these microRNAs play a pivotal role in disease development, it is important for the bioinformaticians and geneticians to know the target genes. This research adopted in silico approach to predict the KRAS-targeting microRNAs. The computational results shed light on the type of microRNAs that gives rise to the development of diseases due to the misregulation of KRAS gene.
  • Keywords
    Computational tools; KRAS; bioinformatics; gene; in silico analysis; microRNAs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Humanities, Science and Engineering (CHUSER), 2011 IEEE Colloquium on
  • Conference_Location
    Penang, Malaysia
  • Print_ISBN
    978-1-4673-0021-6
  • Type

    conf

  • DOI
    10.1109/CHUSER.2011.6163870
  • Filename
    6163870