Optimizing the Decoding Probability and Coverage Ratio of Composite DNA

Fuente: arXiv
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Autori principali: Cohen, Tomer, Yaakobi, Eitan
Natura: Preprint
Pubblicazione: 2025
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author Cohen, Tomer
Yaakobi, Eitan
author_facet Cohen, Tomer
Yaakobi, Eitan
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2505_09533
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Optimizing the Decoding Probability and Coverage Ratio of Composite DNA
Cohen, Tomer
Yaakobi, Eitan
Information Theory
H.1.1
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.
title Optimizing the Decoding Probability and Coverage Ratio of Composite DNA
topic Information Theory
H.1.1
url https://arxiv.org/abs/2505.09533