Codes for Correcting Asymmetric Adjacent Transpositions and Deletions
Shuche Wang, Van Khu Vu, Vincent Y. F. Tan

TL;DR
This paper introduces new error-correcting codes for sequences affected by asymmetric adjacent transpositions and deletions, with improved redundancy bounds and decoding algorithms for various error scenarios, relevant for DNA data storage.
Contribution
It presents novel constructions of codes that correct asymmetric transpositions and deletions, including single and multiple errors, with efficient decoding and redundancy guarantees.
Findings
Designed codes correcting single deletion and multiple asymmetric transpositions with low redundancy.
Developed list-decoding algorithms for multiple deletions and transpositions with bounded list size.
Constructed systematic and non-systematic codes for block deletions with limited-magnitude errors.
Abstract
Codes in the Damerau--Levenshtein metric have been extensively studied recently owing to their applications in DNA-based data storage. In particular, Gabrys, Yaakobi, and Milenkovic (2017) designed a length- code correcting a single deletion and adjacent transpositions with at most bits of redundancy. In this work, we consider a new setting where both asymmetric adjacent transpositions (also known as right-shifts or left-shifts) and deletions may occur. We present several constructions of the codes correcting these errors in various cases. In particular, we design a code correcting a single deletion, right-shift, and left-shift errors with at most bits of redundancy where . In addition, we investigate codes correcting -deletions, right-shift, and left-shift errors with both uniquely-decoding and…
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Taxonomy
TopicsDNA and Biological Computing · Algorithms and Data Compression · Cellular Automata and Applications
