Information Theory Helps Unravel DNA’s Genetic Code


To explore dipole-entropy-based techniques for the segmentation of introns and exons in DNA To use "Superinformation," or the randomness of randomness, to predict the coding and noncoding regions of DNA. DNA consists of regions called exons that code for the synthesis of proteins interspersed with noncoding regions, called introns. The technique uses results from information theory to identify introns and exons an order of magnitude faster than previously developed methods. This breakthrough in speed is achieved by looking at the distribution of electrical charges in the DNA nucleotide bases. The analysis is based on "superinformation," or a measure of the randomness of the randomness.

Contact details: 

Dr. Ranjan Bose

Department of Electrical Engineering