{"id":13099,"date":"2025-05-28T14:12:57","date_gmt":"2025-05-28T18:12:57","guid":{"rendered":"https:\/\/engineering.jhu.edu\/designcenter\/?p=13099"},"modified":"2025-05-28T14:14:42","modified_gmt":"2025-05-28T18:14:42","slug":"dnata","status":"publish","type":"post","link":"https:\/\/engineering.jhu.edu\/designcenter\/2025\/05\/28\/dnata\/","title":{"rendered":"DnATA"},"content":{"rendered":"\n

Team Members: Julian Chow, Resham Talwar, Varen Talwar <\/p>\n\n\n\n

Department: Chemical and Biomolecular Engineering <\/em><\/p>\n\n\n\n

<\/p>\n\n\n\n

\u00a0DnATA is a DNA-based data storage system that leverages the compactness and robustness of DNA to dramatically compress digital information for reliable and sustainable long-term archival storage.\u00a0<\/p>\n\n\n\n

DnATA is a DNA-based data storage platform designed to address the growing need for sustainable and durable data archiving. Our system uses a computational pipeline to convert digital files into DNA sequences, which are then stored and replicated inside bacterial cells. Leveraging natural bacterial replication reduces reliance on energy-intensive, short-lived conventional storage devices. By combining principles from synthetic biology, DnATA explores a novel biological approach to long-term archival data storage. While still in early stages, our work demonstrates the feasibility of encoding, storing, and retrieving digital information from cells, thereby opening new possibilities for secure, low-maintenance archival solutions.\u00a0\u00a0<\/p>\n\n\n\n

<\/div>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

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