Efficient encoding/decoding of irreducible words for codes correcting tandem duplications

• Main Authors: Chee, Yeow Meng, Chrisnata, Johan, Kiah, Han Mao, Nguyen, Tuan Thanh
• Other Authors: School of Physical and Mathematical Sciences
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Science::Mathematics; Computational Complexity; Decoding
• Online Access: https://hdl.handle.net/10356/137252
• Institution: Nanyang Technological University

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=Θ(1ϵ) and ell=Θ(1ϵ), the encoder has rate that is ϵ 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.