• DocumentCode
    2735370
  • Title

    Improvement of TRANSFAC matrices using multiple local alignment of transcription factor binding site sequences

  • Author

    Fu, Y. ; Weng, Z.

  • Author_Institution
    Bioinformatics Program, Boston Univ., MA, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    2856
  • Lastpage
    2859
  • Abstract
    This paper describes a novel approach to constructing position-specific weight matrices (PWM) based on the transcription factor binding site (TFBS) data provide by the TRANSFAC database, and the comparison of the thus generated PWMs with the original TRANSFAC matrices. Multiple local sequence alignment was performed on the TFBSs of each transcription factor. Several different alignment programs were tested and their matrices were compared to the original TRANSFAC matrices. One of the alignment programs, GLAM, produced comparable matrices in terms of the average ranking of true positive sites across the whole test set of sequences.
  • Keywords
    biology computing; database management systems; genetics; macromolecules; matrix algebra; molecular biophysics; TRANSFAC database; gapless local alignment program; multiple local sequence alignment; position-specific weight matrices; transcription factor binding site sequences; Bioinformatics; Databases; Dynamic programming; Genomics; Information retrieval; Matrix converters; Performance evaluation; Pulse width modulation; Sampling methods; Testing; GLAM; PWM; TRANSFAC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1403814
  • Filename
    1403814