Abstract
Conference Title: 2018 IEEE International Symposium on Information Theory (ISIT) Conference Start Date: 2018, June 17 Conference End Date: 2018, June 22 Conference Location: Vail, CO, USA Tandem duplication is the process of inserting a copy of a segment of DNA adjacent to the original position. Motivated by applications that store data in living organisms, Jain et al. (2017) proposed the study of codes that correct tandem duplications. All code constructions are based on irreducible words. We study efficient encoding/decoding methods for irreducible words. First, we describe an $(\ell,\ m)$ -finite state encoder and show that when $m=\Theta(1/\epsilon)$ and $\ell=\Theta(1/\epsilon)$ , the encoder has rate that is $\epsilon$ away from the optimal. Next, we provide ranking/unranking algorithms for irreducible words and modify the algorithms to reduce the space requirements for the finite state encoder.