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Updated: Mar 16, 2026

10:36
Rare Event Detection Using Error-corrected DNA and RNA Sequencing
Published on: August 3, 2018
12.7K
Comparison of state-of-the-art error-correction coding for sequence-based DNA data storage
Andreas L Gimpel1, Alex Remschak1, Wendelin J Stark1
1Department of Chemistry and Applied Biosciences, ETH Zürich, Zürich, Switzerland.
Nature Communications
|March 15, 2026
Summary
This study benchmarks DNA data storage codecs, showing they tolerate high error rates. Realistic conditions enable densities up to 117 EB g-1, demonstrating mature error correction for DNA storage.
Area of Science:
- Biotechnology
- Information Science
- Genomics
Background:
- Numerous DNA data storage codecs exist, but their performance lacks systematic benchmarking.
- Error-correction is crucial for reliable DNA data storage.
Purpose of the Study:
- To systematically benchmark representative DNA data storage codecs.
- To establish the current state-of-the-art in codec performance.
- To assess feasibility of high-density DNA data storage.
Main Methods:
- In silico and in vitro experiments were used to compare six codecs.
- Codec performance was evaluated under isolated and realistic conditions.
- Experimental verification used synthesis by material deposition and electrochemical synthesis.
Main Results:
- Individual codecs tolerate up to 14% error rates and 65% sequence loss.
- Storage densities of 117 EB g-1 are feasible under realistic conditions.
- Experimental storage densities reached 43 EB g-1 (material deposition) and 13 EB g-1 (electrochemical synthesis).
Conclusions:
- Error-correction coding for DNA data storage is mature.
- The study defines the state-of-the-art for DNA data storage codecs.
- Best practices for codec benchmarking in DNA data storage were established.
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