A Grid based Mining Approach to Genomic Data Set

improvement to the processing efficiency of genomic data sequence for automated detection and diagnosis is presented in this paper. For the automation of genomic signal processing, the problem of representation, extraction and retrieval is proposed. In the current form of automated genomic processing system, the retrieval of the gene information depends on the representation of the gene sequence. The retrieval accuracy also depends on the training data sets used. To achieve e the accuracy of retrieval it is required to represent the informatics regions more accurately and extract the relevant matching faster. To achieve this objective in this paper, a grid based computing approach to the distribution genomic dataset is proposed, with sequence shuffled, information region prediction filtration. A faster and accurate retrieval is obtained by the usage of sequencing, filtration and grdification modeling. Keywordsmining, genomic signal processing, spectral sequencing, region prediction, grid computing.