ArticleFrontiers in bioengineering and biotechnology2022
Hidden Addressing Encoding for DNA Storage.
Article in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Advances and challenges in non-canonical nucleic acids data storage.Nature communications · 2026Review
- Data recovery methods for DNA storage based on fountain codes.Computational and structural biotechnology journal · 2024Article
- PELMI: Realize robust DNA image storage under general errors via parity encoding and local mean iteration.Briefings in bioinformatics · 2024Article
- Reducing cost in DNA-based data storage by sequence analysis-aided soft information decoding of variable-length reads.Bioinformatics (Oxford, England) · 2023Article
- Reconfigurable DNA triplex structure for pH responsive logic gates.RSC advances · 2023Article
- Active Self-Assembly of Ladder-Shaped DNA Carrier for Drug Delivery.Molecules (Basel, Switzerland) · 2023Article
- Towards long double-stranded chains and robust DNA-based data storage using the random code system.Frontiers in genetics · 2023Article
- DBTRG: De Bruijn Trim rotation graph encoding for reliable DNA storage.Computational and structural biotechnology journal · 2023Article
- Evolutionary approach to construct robust codes for DNA-based data storage.Frontiers in genetics · 2023Article
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5 authors.
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Abstract
DNA is a natural storage medium with the advantages of high storage density and long service life compared with traditional media. DNA storage can meet the current storage requirements for massive data. Owing to the limitations of the DNA storage technology, the data need to be converted into short DNA sequences for storage. However, in the process, a large amount of physical redundancy will be generated to index short DNA sequences. To reduce redundancy, this study proposes a DNA storage encoding scheme with hidden addressing. Using the improved fountain encoding scheme, the index replaces part of the data to realize hidden addresses, and then, a 10.1 MB file is encoded with the hidden addressing. First, the Dottup dot plot generator and the Jaccard similarity coefficient analyze the overall self-similarity of the encoding sequence index, and then the sequence fragments of GC content are used to verify the performance of this scheme. The final results show that the encoding scheme indexes with overall lower self-similarity, and the local thermodynamic properties of the sequence are better. The hidden addressing encoding scheme proposed can not only improve the utilization of bases but also ensure the correct rate of DNA storage during the sequencing and decoding processes.
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