Interdisciplinary Bio Central
 
Etc. (Bioinformatics/Computational biology/Molecular modeling)

Discovering cis-regulatory motifs by combining multiple predictors
Hye-Shik Chang1, Kyuwoong Hwang1 and Dongsup Kim1,*
1Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology
*Corresponding author
  Published : May 31, 2007
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Synopsis

The computational discovery of transcription factor binding site is one of the important tools in the genetic and genomic analysis. Rough prediction of gene regulation network and finding possible co-regulated genes are typical applications of the technique. Countless motif-discovery algorithms have been proposed for the past years. However, there is no dominant algorithm yet. Each algorithm does not give enough accuracy without extensive information. In this paper, we explore the possibility of combining multiple algorithms for the one integrated result in order to improve the performance and the convenience of researchers. Moreover, we apply new high order information that is reorganized from the set of basis predictions to the final prediction.

Keyword: cis-regulatory element, motif discovery, transcription factor binding site
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