Article3 Biotech2021
High-density information storage and random access scheme using synthetic DNA.
Article in 3 Biotech, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- DNA storage: The future direction for medical cold data storage.Synthetic and systems biotechnology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The high-storage density, long-life cycle, and low-energy consumption of DNA molecules make it the future of next-generation storage technology. However, DNA storage has the disadvantages of high-synthesis cost and low-random access efficiency. A high-density DNA-coding scheme can effectively reduce the cost of DNA synthesis. This paper first proposes a DNA-mapping method based on codebook and a random access method for DNA information based on encoded content. The mapping method satisfies the two biological constraints of homopolymer length and GC content. The random access method can efficiently and selectively read specific files in the DNA pool. To increase storage density, convolutional neural networks are combined with mapping methods to generate base sequences. In the experiments, our method was compared with the results of existing DNA information storage methods, which showed that the proposed scheme has better information storage density.
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Registered trials
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