Finding new Core Promoter Elements using backward-looking strategies

Authors:
Yin-Fu Huang;Yi-Chao Jhan;Sing-Wu Liou
Affiliations:
Graduate School of Computer Science and Information Engineering, National Yunlin University of Science and Technology, 123 University Road, Section 3, Touliu, Yunlin, Taiwan 640, ROC.;Institute of Electronic and Information Engineering, National Yunlin University of Science and Technology, 123 University Road, Section 3, Touliu, Yunlin, Taiwan 640, ROC.;Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, 123 University Road, Section 3, Touliu, Yunlin, Taiwan 640, ROC
Venue:
International Journal of Data Mining and Bioinformatics
Year:
2009

Citing 2
Cited 0

Fast Algorithms for Mining Association Rules in Large Databases

VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Synergy of human Pol II core promoter elements revealed by statistical sequence analysis

Bioinformatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Core Promoter Elements (CPEs) were key players in transcription initiation. Identifying CPEs is crucial for understanding gene expression. In this paper, a framework for finding new CPEs was proposed. An experiment was performed on the sequences of Eukaryotic Promoter Database (EPD). From the results, the known CPEs were all recovered; in addition, five new motifs were discovered in Drosophila and three in human. By comparing the results with currently known CPEs, it is shown that the proposed system is feasible and reliable, and these new CPEs are worth of further exploration.