• DocumentCode
    2889806
  • Title

    imiRTP: An Integrated Method to Identifying miRNA-target Interactions in Arabidopsis thaliana

  • Author

    Ding, Jiandong ; Yu, Shusi ; Ohler, Uwe ; Guan, Jihong ; Zhou, Shuigeng

  • Author_Institution
    Shanghai Key Lab. of Intell. Inf. Process., Fudan Univ., Shanghai, China
  • fYear
    2011
  • fDate
    12-15 Nov. 2011
  • Firstpage
    100
  • Lastpage
    104
  • Abstract
    MiRNA are about 22nt long small noncoding RNAs that post transcriptionally regulate gene expression in animals, plants and protozoa. Confident identification of MiRNA-Target Interactions (MTI) is vital to understand their function. Currently, several integrated programs and databases are available for animal miRNAs, the mechanisms of which are significantly different from plant miRNAs. Here we present imiRTP, an integrated MTI prediction and analysis toolkit for Arabidopsis thaliana. It features two important functions: (i) combination of several effective plant miRNA target prediction methods provides a sufficiently large MTI candidate set, and (ii) different filters allow for an efficient selection of potential targets. The modularity of imiRTP enables the prediction of high quality targets on genome-wide scale.
  • Keywords
    biology computing; data analysis; genetics; Arabidopsis thaliana; MTI analysis; MTI prediction; animal miRNA; gene expression; genome-wide prediction; imiRTP method; miRNA-target interaction identification; plant miRNA target prediction method; Animals; Bioinformatics; Databases; Educational institutions; Genomics; Prediction methods; RNA; Arabidoposis thaliana; integrat; miRNA; microRNA; target prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2011 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4577-1799-4
  • Type

    conf

  • DOI
    10.1109/BIBM.2011.13
  • Filename
    6120415