(Publisher of Peer Reviewed Open Access Journals)

International Journal of Advanced Computer Research (IJACR)

ISSN (Print):2249-7277    ISSN (Online):2277-7970
Volume-3 Issue-9 March-2013
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Paper Title : A Review of Protein-DNA Binding Motif using Association Rule Mining
Author Name : Virendra Kumar Tripathi, Hitesh Gupta
Abstract :

The survival of gene regulation and life mechanisms is pre-request of finding unknown pattern of transcription factor binding sites. The discovery motif of gene regulation in bioinformatics is challenging jobs for getting relation between transcription factors and transcription factor binding sites. The increasing size and length of string pattern of motif is issued a problem related to modeling and optimization of gene selection process. In this paper we give a survey of protein-DNA binding using association rule mining. Association rule mining well known data mining technique for pattern analysis. The capability of negative and positive pattern generation help full for discovering of new pattern in DNA binding bioinformatics data. The other data mining approach such as clustering and classification also applied the process of gene selection grouping for known and unknown pattern. But faced a problem of valid string of DNA data, the rule mining principle find a better relation between transcription factors and transcription factor binding sites.

Keywords : Protein-DNA, Motif, data mining, association rule mining.
Cite this article : Virendra Kumar Tripathi, Hitesh Gupta, " A Review of Protein-DNA Binding Motif using Association Rule Mining " , International Journal of Advanced Computer Research (IJACR), Volume-3, Issue-9, March-2013 ,pp.56-59.