First used in cryptography, Kappa Index of Coincidence (Kappa IC) is an unexplored approach in molecular genetics. We used Kappa Index of Coincidence to determine new patterns and evolutionary signatures in DNA sequences. For analyzing genetic data through Kappa Index of Coincidence, we have created an open source project named DNAKAPPA. Extensive tests were conducted for eighteen genes from Homo sapiens and twelve Human Immunodeficiency Virus strains. We obtained three types of patterns, namely: KappaIC/C+G%, KappaIC/TM and KappaIC/CpG Obs/Exp.

Keywords: Data mining, Kappa, DNA signatures, DNA patterns