Optimizing the Decoding Probability and Coverage Ratio of Composite DNA

This paper studies two problems that are motivated by the novel recent approach of composite DNA that 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. The first problem studies the expected number of strand reads in order to decode a composite strand or a group of composite strands. In the second problem, our goal is study how to carefully choose a fixed number of mixtures of the DNA nucleotides such that the decoding probability by the maximum likelihood decoder is maximized.

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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.2025.3613272
Citations
1
Primary Topic
DNA and Biological Computing
Type
article
Field-Weighted Citation Impact
0.81
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article

Optimizing the Decoding Probability and Coverage Ratio of Composite DNA

Eitan Yaakobi, Tzafra Cohen
1 citations
IEEE Journal on Selected Areas in Information Theory
DNA and Biological Computing
0.81
article

Optimizing the Decoding Probability and Coverage Ratio of Composite DNA

Eitan Yaakobi, Tzafra Cohen
article en
1 citations

Abstract

This paper studies two problems that are motivated by the novel recent approach of composite DNA that 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. The first problem studies the expected number of strand reads in order to decode a composite strand or a group of composite strands. In the second problem, our goal is study how to carefully choose a fixed number of mixtures of the DNA nucleotides such that the decoding probability by the maximum likelihood decoder is maximized.

IEEE Journal on Selected Areas in Information TheoryVol. 6
Technion – Israel Institute of Technology (IL)
Openalex Percentile: Top 23%
DNA and Biological Computing
0.81
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