ArticleNucleic acids research2022
Fractal construction of constrained code words for DNA storage systems.
Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Gungnir codec enabling high error-tolerance and low-redundancy DNA storage through substantial computing power.Nature communications · 2026Article
- TC-HUR: A Tri-Phase Cauchy-Assisted Hunger Games Search and Unified Runge-Kutta Optimizer for Robust DNA Data Storage.International journal of molecular sciences · 2026Article
- Predict the degree of secondary structures of the encoding sequences in DNA storage by deep learning model.Scientific reports · 2025Article
- INNSE: Invertible neural network-based DNA image storage with self-correction encoding.Computational and structural biotechnology journal · 2025Article
- Data recovery methods for DNA storage based on fountain codes.Computational and structural biotechnology journal · 2024Article
- Efficient and low-complexity variable-to-variable length coding for DNA storage.BMC bioinformatics · 2024Article
- Article
- DNA Bloom Filter enables anti-contamination and file version control for DNA-based data storage.Briefings in bioinformatics · 2024Article
- Article
- DNA-Aeon provides flexible arithmetic coding for constraint adherence and error correction in DNA storage.Nature communications · 2023Article
- DNAsmart: Multiple attribute ranking tool for DNA data storage systems.Computational and structural biotechnology journal · 2023Article
- DBTRG: De Bruijn Trim rotation graph encoding for reliable DNA storage.Computational and structural biotechnology journal · 2023Article
- RepairNatrix: a Snakemake workflow for processing DNA sequencing data for DNA storage.Bioinformatics advances · 2023Article
- Design considerations for advancing data storage with synthetic DNA for long-term archiving.Materials today. Bio · 2022Review
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of complex biological molecules to solve computational problems is an emerging field at the interface between biology and computer science. There are two main categories in which biological molecules, especially DNA, are investigated as alternatives to silicon-based computer technologies. One is to use DNA as a storage medium, and the other is to use DNA for computing. Both strategies come with certain constraints. In the current study, we present a novel approach derived from chaos game representation for DNA to generate DNA code words that fulfill user-defined constraints, namely GC content, homopolymers, and undesired motifs, and thus, can be used to build codes for reliable DNA storage systems.
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