• DocumentCode
    478726
  • Title

    Tiger HRE Finder - A Tool for Identification of Hormone Receptor Binding Sites in Query Sequences

  • Author

    Stepanova, Maria ; Feng, Lin ; Lin, Valerie C L

  • Author_Institution
    Bioinformatics Res. Centre, Nanyang Technol. Univ.
  • Volume
    1
  • fYear
    2006
  • fDate
    20-24 June 2006
  • Firstpage
    22
  • Lastpage
    26
  • Abstract
    Prediction of transcription factor binding sites is a crucial challenge in investigation of mechanisms of gene expression regulation. Due to high diversity of different types of transcription factors and their DNA binding preferences, it is difficult to establish an accurate model for recognition of functional regulatory elements in promoters of eukaryotic genes. Here we present a tool for precise prediction of a large group of transcription factor binding sites - steroid hormone response elements. The tool uses large training set of experimentally confirmed steroid hormone response elements, and adapts sequence-based statistic method of position weight matrix, for identification of the binding sites of the query sequences. Accuracy level (considering trade-off sensitivity vs. specificity) is a user-defined parameter and a table of correspondence of the above values is collected from a number of independent tests
  • Keywords
    DNA; biology computing; cellular biophysics; genetics; molecular biophysics; statistical analysis; DNA binding; Tiger HRE Finder; eukaryotic genes; gene expression regulation; hormone receptor binding site identification; position weight matrix; query sequence; sequence-based statistic method; steroid hormone response elements; transcription factor binding site; Biochemistry; Bioinformatics; Biology computing; DNA; Drives; Gene expression; Proteins; Sequences; Statistics; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
  • Conference_Location
    Hanzhou, Zhejiang
  • Print_ISBN
    0-7695-2581-4
  • Type

    conf

  • DOI
    10.1109/IMSCCS.2006.134
  • Filename
    4673520