Error Exponents for DNA Storage Codes With a Variable Number of Reads

In this paper, we study error exponents for an index-based concatenated coding based class of DNA storage codes in which the number of reads performed can be variable. That is, the decoder can sequentially perform reads and choose whether to output the final decision or take more reads, and we are interested in minimizing the average number of reads performed rather than a fixed pre-specified value. We show that this flexibility leads to a considerable reduction in the error probability compared to a fixed number of reads, not only in terms of constants in the error exponent but also in the scaling laws. This is shown via an achievability result for a suitably-designed protocol, and in certain parameter regimes we additionally establish a matching converse that holds for all protocols within a broader index-based concatenated coding based class.

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Publication Details

Journal
IEEE Journal on Selected Areas in Information Theory
Published
2025-01-01
DOI
https://doi.org/10.1109/jsait.2025.3590758
Primary Topic
DNA and Biological Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Error Exponents for DNA Storage Codes With a Variable Number of Reads

Jonathan Scarlett, Yan Hao Ling, Nir Weinberger
IEEE Journal on Selected Areas in Information Theory
DNA and Biological Computing
article

Error Exponents for DNA Storage Codes With a Variable Number of Reads

Jonathan Scarlett, Yan Hao Ling, Nir Weinberger
article en

Abstract

In this paper, we study error exponents for an index-based concatenated coding based class of DNA storage codes in which the number of reads performed can be variable. That is, the decoder can sequentially perform reads and choose whether to output the final decision or take more reads, and we are interested in minimizing the average number of reads performed rather than a fixed pre-specified value. We show that this flexibility leads to a considerable reduction in the error probability compared to a fixed number of reads, not only in terms of constants in the error exponent but also in the scaling laws. This is shown via an achievability result for a suitably-designed protocol, and in certain parameter regimes we additionally establish a matching converse that holds for all protocols within a broader index-based concatenated coding based class.

IEEE Journal on Selected Areas in Information TheoryVol. 6
Data Storage Institute (SG), National University of Singapore (SG), Technion – Israel Institute of Technology (IL)
National Research Foundation Singapore, Israel Science Foundation
Openalex Percentile: Top 84%
DNA and Biological Computing
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Error Exponents for DNA Storage Codes With a Variable Number of Reads — Jonathan Scarlett, Yan Hao Ling, et al. · IEEE Journal on Selected Areas in Information Theory (2025) | TGRS Research Map | TGRS