Archival data storage using DNA proximity graphs
Year: 2026
Type: preprint
Abstract: DNA offers a promising medium for long-term archival data storage, but writing information into DNA remains costly. Here we introduce SPAN (Synthesis-free Proximity-graph Archiving in Nucleic acids), a synthesis-independent storage architecture in which information is written as a physical pattern and encoded in the spatial relationships of randomly barcoded DNA molecules. Barcodes are deposited onto an optically patterned surface, and an enzymatic reaction records neighboring barcode pairs. Sequencing these pairs produces a proximity graph from which the information is decoded. We demonstrate this principle by writing a 136-bit pattern using photolithography and recovering 98.5% of the bits. Our cost analysis estimates 10X lower writing costs than any existing DNA storage method. Using established commercial optical writing technologies, we project a further five-order-of-magnitude reduction to below flash memory costs. Although readout is more expensive, this trade-off is attractive for deep archival storage, where information is written once and rarely, if ever, retrieved.
Authors: Eyal Perry, Jan Tiepelt, Joseph Jacobson
Institution: Massachusetts Institute of Technology
Language: English
Topic: DNA and Biological Computing
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7221834557