A digital twin for DNA data storage based on comprehensive quantification of errors and biases
Abstract Archiving data in synthetic DNA offers unprecedented storage density and longevity. Handling and storage introduce errors and biases into DNA-based storage systems, necessitating the use of Error Correction Coding (ECC) which comes at the cost of added redundancy. However, insufficient data...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-09-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-41729-1 |