A Cellular Automata Based DNA Pattern Classifier

Contemporary researchers of Bio-informatics have witnessed an exponential growth in the amount of biological information over the years. The increasing volume of DNA sequences has of late created interest among many scientists in computational approaches to DNA sequence analysis. A lot of computer analysis of DNA sequences is directed toward meaningful interpretation of biologically significant patterns. Pattern classification forms one of the most important foundations for extraction of knowledge from the enormous DNA sequence databases. This paper reports a cheap and efficient DNA pattern classifier based on the sparse network of Cellular Automata.