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Shift-Interleave Coding for DNA-Based Storage: Correction of IDS Errors and Sequence Losses

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Ryo Shibata, Haruhiko Kaneko

Information Theory · Submitted 26 Jan 2024

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim The numerical results demonstrate the excellent performance of the SI coding scheme in correcting both IDS errors and sequence losses.

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arXiv ID2401.14594 (version 1)
Pith IDAH6MLSAX, Pith's permanent record of this paper and its review
CitationHaruhiko Kaneko, Ryo Shibata. "Shift-Interleave Coding for DNA-Based Storage: Correction of IDS Errors and Sequence Losses." arXiv:2401.14594 (2024). https://pith.science/paper/AH6MLSAX
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,201 input tokens.

What the abstract itself states, as probabilities: claims first 0.11 · states limitation 0.05 · human participants 0.02 · controlled comparison 0.04 · randomized assignment 0.01 · states quantitative result 0.06 · compares with prior results 0.07 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

We propose a novel coding scheme for DNA-based storage systems, called the shift-interleave (SI) coding, designed to correct insertion, deletion, and substitution (IDS) errors, as well as sequence losses. The SI coding scheme employs multiple codewords from two binary low-density parity-check codes. These codewords are processed to form DNA base sequences through shifting, bit-to-base mapping, and interleaving. At the receiver side, an efficient non-iterative detection and decoding scheme is employed to sequentially estimate codewords. The numerical results demonstrate the excellent performance of the SI coding scheme in correcting both IDS errors and sequence losses.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 We propose a novel coding scheme for DNA-based storage systems, called the shift-interleave (SI) coding, designed to correct insertion, deletion, and substitution (IDS) errors, as well as sequence losses. contribution 1.00 0.88 0.30 asserted 1.00
s1 The SI coding scheme employs multiple codewords from two binary low-density parity-check codes. method 0.98 0.66 0.03 asserted 1.00
s2 These codewords are processed to form DNA base sequences through shifting, bit-to-base mapping, and interleaving. method 1.00 0.66 0.03 asserted 1.00
s3 At the receiver side, an efficient non-iterative detection and decoding scheme is employed to sequentially estimate codewords. method 0.99 0.71 0.04 asserted 1.00
s4 The numerical results demonstrate the excellent performance of the SI coding scheme in correcting both IDS errors and sequence losses. result 0.94 0.94 0.84 asserted 1.00

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from simulation or computation 1.00.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

We propose a novel coding scheme for DNA-based storage systems, called the shift-interleave (SI) coding, designed to correct insertion, deletion, and substitution (IDS) errors, as well as sequence losses. The SI coding scheme employs multiple codewords from two binary low-density parity-check codes. These codewords are processed to form DNA base sequences through shifting, bit-to-base mapping, and interleaving. At the receiver side, an efficient non-iterative detection and decoding scheme is employed to sequentially estimate codewords. The numerical results demonstrate the excellent performance of the SI coding scheme in correcting both IDS errors and sequence losses.

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