R&D: Kernel Code for DNA Storage

International Journal of Bio-Inspired Computation has published an article written by G. Nallappa Bhavithran, and R. Selvakumar, Department of Mathematics, Vellore Institute of Technology, Vellore, Tamil Nadu – 632014, India.

Abstract: “The biggest challenge when using DNA as a storage medium is maintaining its stability. The relative occurrence of guanine (G) and cytosine (C) is essential for the longevity of DNA. In addition to that, reverse complementary base pairs should not be present in the code. These challenges are overcome by a proper choice of group homomorphisms. Algorithms for storage and retrieval of information in DNA strings are written by using kernel code. Complexities of these algorithms are less compared to the existing algorithms. Construction procedures followed in this paper are capable of constructing codes of required sizes and reverse-complement distance.“