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A new statistical distanceuseful for analyzing exons and introns of eukaryotic genes

Segregation of exons and introns from gene sequence is an important issue in simulating transcription. Although various computational efforts based on probabilistic approaches are taken to discriminate the regions, lack of accuracy is the principal reason to achieve perfection. We propose a statistical distance measure using logarithm transformation of the dot product oftwo probability vectors. Experimental result shows effectiveness of the distance measure in segregation of genes with certainty better than other existing methods, even for gene having very less numbers of exons and introns.