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Writing digital data into DNA requires translating bits into molecular form. Instead of synthesizing one long strand per data sequence, xDNA Labs uses a combinatorial assembly method that is significantly more scalable and efficient.

From Data to Codewords

Information is divided into symbols. Each symbol is mapped to a fixed-length codeword a bit string designed with uniform properties such as a constant number of ones and zeros. This ensures:
  • Simplified error handling
  • High signal-to-noise ratios during retrieval
  • Consistent density across the archive

Combinatorial Identifiers

Rather than creating each codeword base-by-base, xDNA constructs molecules called identifiers. An identifier is built by assembling prefabricated DNA components layer by layer.

Layer-by-layer assembly

Each layer contains multiple possible DNA components. One component is chosen from each layer and ligated together the result is a unique sequence that encodes a specific part of the dataset.

Exponential address space

With only a few hundred components divided into layers, it is possible to assemble trillions of distinct identifiers exponential expansion with simple, cost-effective chemistry.

Trie-like Structure

The identifiers naturally form a trie a tree-like data structure where each path from root to leaf corresponds to a sequence of components that encodes a codeword. This organization makes it possible to later traverse and query the archive using biochemical operations rather than digital scanning.
The trie structure is what makes in-DNA compute possible. It turns the archive into an associative memory that can be searched and filtered chemically, without reading the full dataset.

Writing Process

1

Preprocess & encode

Digital data is preprocessed and mapped into codewords.
2

Assign identifiers

Each bit in a codeword is assigned to a unique identifier within the combinatorial address space.
3

Assemble molecules

Identifiers are assembled from DNA components using chemical ligation in parallel reactions.
4

Archive the library

The resulting DNA library contains millions of identifiers, each representing a portion of the dataset stable, inert, and ready for storage or computation.