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.

Keyword

Protein-DNA, Motif, data mining, association rule mining.

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