Outline a high-level pipeline for DNA data storage from data to retrieval.

• A. Data encoding with error correction and addressing -> DNA synthesis -> storage -> sequencing-based retrieval -> decoding with error correction.
• B. Directly store raw data as DNA without encoding.
• C. Synthesize DNA, then later decode without sequencing.
• D. Retrieve data by manual transcription.

Answer: (A)

Turning data into DNA storage starts with encoding the binary data into DNA sequences using error-correcting codes and block addressing. This ensures the information can survive mistakes from synthesis, storage, or reading, and that individual data blocks can be located and reassembled correctly later. Next is DNA synthesis, where those designed sequences are physically created as DNA strands. The stored material can then sit in a stable medium until retrieval is needed. For reading back the data, you need sequencing to read the actual DNA sequences and convert them back into digital form, producing the data with the observed errors that sequencing may introduce. Finally, decoding with error correction uses the designed redundancy and block addresses to reconstruct the original data accurately, even in the presence of read errors and strand loss.

Directly storing raw data as DNA without encoding wouldn’t provide the robust, readable mapping required for reliable recovery. Synthesizing DNA and attempting to decode without sequencing misses the step that reveals the actual nucleotide sequence to interpret. Manual transcription is impractical for large data volumes and doesn’t leverage the scalable, automated readout that sequencing provides.