Studying the Cycle Complexity of DNA Synthesis

Fuente: arXiv
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Hauptverfasser: Zrihan, Amit, Yaakobi, Eitan, Yakhini, Zohar
Format: Preprint
Veröffentlicht: 2024
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author Zrihan, Amit
Yaakobi, Eitan
Yakhini, Zohar
author_facet Zrihan, Amit
Yaakobi, Eitan
Yakhini, Zohar
contents Storing data in DNA is being explored as an efficient solution for archiving and in-object storage. Synthesis time and cost remain challenging, significantly limiting some applications at this stage. In this paper we investigate efficient synthesis, as it relates to cyclic synchronized synthesis technologies, such as photolithography. We define performance metrics related to the number of cycles needed for the synthesis of any fixed number of bits. We first expand on some results from the literature related to the channel capacity, addressing densities beyond those covered by prior work. This leads us to develop effective encoding achieving rate and capacity that are higher than previously reported. Finally, we analyze cost based on a parametric definition and determine some bounds and asymptotics. We investigate alphabet sizes that can be larger than 4, both for theoretical completeness and since practical approaches to such schemes were recently suggested and tested in the literature.
format Preprint
id arxiv_https___arxiv_org_abs_2412_05865
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Studying the Cycle Complexity of DNA Synthesis
Zrihan, Amit
Yaakobi, Eitan
Yakhini, Zohar
Information Theory
Storing data in DNA is being explored as an efficient solution for archiving and in-object storage. Synthesis time and cost remain challenging, significantly limiting some applications at this stage. In this paper we investigate efficient synthesis, as it relates to cyclic synchronized synthesis technologies, such as photolithography. We define performance metrics related to the number of cycles needed for the synthesis of any fixed number of bits. We first expand on some results from the literature related to the channel capacity, addressing densities beyond those covered by prior work. This leads us to develop effective encoding achieving rate and capacity that are higher than previously reported. Finally, we analyze cost based on a parametric definition and determine some bounds and asymptotics. We investigate alphabet sizes that can be larger than 4, both for theoretical completeness and since practical approaches to such schemes were recently suggested and tested in the literature.
title Studying the Cycle Complexity of DNA Synthesis
topic Information Theory
url https://arxiv.org/abs/2412.05865