Rank Modulated Composite Encoding for Data Storage in DNA

This paper studies two problems that are motivated by combining two novel approaches, namely DNA composite and rank modulation. The recent approach of composite DNA takes advantage of the DNA synthesis property which generates a huge number of copies for every synthesized strand. Under this paradigm, every composite symbols does not store a single nucleotide but a mixture of the four DNA nucleotides. Instead of considering all the possible composite symbols we are interested only in the rank of the motifs in the symbol. The first problem in this paper addresses the capacity of a channel that uses such symbols, while in the second, bounds and construction of such codes are studied. <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>

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Published
2025-08-18
DOI
https://doi.org/10.1109/istc65386.2025.11154607
Primary Topic
DNA and Biological Computing
Type
article
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article

Rank Modulated Composite Encoding for Data Storage in DNA

Zohar Yakhini, Eitan Yaakobi, Tomer Cohen, Zhiying Wang
DNA and Biological Computing
article

Rank Modulated Composite Encoding for Data Storage in DNA

Zohar Yakhini, Eitan Yaakobi, Tomer Cohen, Zhiying Wang
article en

Abstract

This paper studies two problems that are motivated by combining two novel approaches, namely DNA composite and rank modulation. The recent approach of composite DNA takes advantage of the DNA synthesis property which generates a huge number of copies for every synthesized strand. Under this paradigm, every composite symbols does not store a single nucleotide but a mixture of the four DNA nucleotides. Instead of considering all the possible composite symbols we are interested only in the rank of the motifs in the symbol. The first problem in this paper addresses the capacity of a channel that uses such symbols, while in the second, bounds and construction of such codes are studied. <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>

Technion – Israel Institute of Technology (IL), University of California, Irvine (US)
Openalex Percentile: Top 78%
DNA and Biological Computing
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Rank Modulated Composite Encoding for Data Storage in DNA — Zohar Yakhini, Eitan Yaakobi, et al. · (2025) | TGRS Research Map | TGRS