A Review of Protein-DNA Binding Motif using Association Rule Mining

T he 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 selecti on process. In this paper we give a survey of protein - DNA binding using association rule mining. As sociation rule mining well known data mining technique for pattern analysis. The capability of negative and positive pattern gene ration 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 DN A data, the rule mining principle find a better relation between transcription factors and transcription factor binding sites.