ReviewGigaScience2019
Carbon-based archiving: current progress and future prospects of DNA-based data storage.
Review in GigaScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
15 citing papers in PubMed.
- DNA palette code for time-series archival data storage.National science review · 2025Article
- Optimizing fountain codes for DNA data storage.Computational and structural biotechnology journal · 2024Article
- Overcoming the High Error Rate of Composite DNA Letters-Based Digital Storage through Soft-Decision Decoding.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- DNA-QLC: an efficient and reliable image encoding scheme for DNA storage.BMC genomics · 2024Article
- Enabling technology and core theory of synthetic biology.Science China. Life sciences · 2023Review
- In-vitro validated methods for encoding digital data in deoxyribonucleic acid (DNA).BMC bioinformatics · 2023Review
- Study on DNA Storage Encoding Based IAOA under Innovation Constraints.Current issues in molecular biology · 2023Article
- DBTRG: De Bruijn Trim rotation graph encoding for reliable DNA storage.Computational and structural biotechnology journal · 2023Article
- Robust data storage in DNA by de Bruijn graph-based de novo strand assembly.Nature communications · 2022Article
- A self-contained and self-explanatory DNA storage system.Scientific reports · 2021Article
- An artificial chromosome for data storage.National science review · 2021Article
- CLGBO: An Algorithm for Constructing Highly Robust Coding Sets for DNA Storage.Frontiers in genetics · 2021Article
- Large-ScaleFrontiers in bioengineering and biotechnology · 2021Review
- DNA storage: research landscape and future prospects.National science review · 2020Article
- An Intelligent Optimization Algorithm for Constructing a DNA Storage Code: NOL-HHO.International journal of molecular sciences · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The information explosion has led to a rapid increase in the amount of data requiring physical storage. However, in the near future, existing storage methods (i.e., magnetic and optical media) will be insufficient to store these exponentially growing data. Therefore, data scientists are continually looking for better, more stable, and space-efficient alternatives to store these huge datasets. Because of its unique biological properties, highly condensed DNA has great potential to become a storage material for the future. Indeed, DNA-based data storage has recently emerged as a promising approach for long-term digital information storage. This review summarizes state-of-the-art methods, including digital-to-DNA coding schemes and the media types used in DNA-based data storage, and provides an overview of recent progress achieved in this field and its exciting future.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.