Prediction of Human Transcription Regulatory Motifs by Using Non-alignment Based Method
DOI:
Author:
Affiliation:

Clc Number:

Fund Project:

This work was supported by a grant from The National Natural Science Foundation of China (90403010).

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    The comparative studies of k-mer distribution in human and mouse TFBS sequences listed in TRANSFAC database are given. A non-alignment based approach for fast genome-wide discovery of transcription regulatory k-mer motifs (TRKMs) is proposed. The method is called distance-based conservative k-mer searching algorithm (DCKS) which is based on the conservation of k-mer pair distance. By use of DCKS the prediction accuracy of human transcription regulatory 7-mer motifs is: sensitivity 90%, specificity 78%, and correlation coefficient 0.65.

    Reference
    Related
    Cited by
Get Citation

L?Jun, LUO Liao-Fu, ZHANG Ying, ZHAO Ju-Dong. Prediction of Human Transcription Regulatory Motifs by Using Non-alignment Based Method[J]. Progress in Biochemistry and Biophysics,2006,33(11):1044-1050

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:April 30,2006
  • Revised:June 06,2006
  • Accepted:
  • Online: November 17,2006
  • Published: