Protecting the Future of Information: LOCO Coding With Error Detection for DNA Data Storage
Canberk \.Irima\u{g}z{\i}, Yusuf Uslan, Ahmed Hareedy

TL;DR
This paper introduces D-LOCO codes, a novel constrained coding scheme for DNA data storage that enhances error detection, balancing, and efficiency, addressing key challenges in DNA-based information preservation.
Contribution
The paper presents D-LOCO codes with an efficient encoding-decoding rule, balancing capabilities, and error detection schemes, advancing DNA data storage reliability and performance.
Findings
D-LOCO codes achieve capacity and high rates at moderate lengths.
Encoding-decoding algorithms outperform existing methods in storage overhead.
Proposed schemes enable single substitution error detection per codeword.
Abstract
DNA strands serve as a storage medium for -ary data over the alphabet . DNA data storage promises formidable information density, long-term durability, and ease of replicability. However, information in this intriguing storage technology might be corrupted. Experiments have revealed that DNA sequences with long homopolymers and/or with low -content are notably more subject to errors upon storage. This paper investigates the utilization of the recently-introduced method for designing lexicographically-ordered constrained (LOCO) codes in DNA data storage. This paper introduces DNA LOCO (D-LOCO) codes, over the alphabet with limited runs of identical symbols. These codes come with an encoding-decoding rule we derive, which provides affordable encoding-decoding algorithms. In terms of storage overhead, the proposed encoding-decoding algorithms outperform…
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Taxonomy
TopicsDNA and Biological Computing · Advanced biosensing and bioanalysis techniques · Algorithms and Data Compression
