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Area of Science:

  • Biotechnology
  • Bioinformatics
  • Molecular Engineering

Background:

  • Digital data volume is rapidly increasing, exceeding conventional storage capacity.
  • DNA offers high density and stability but current methods are mostly static.
  • A need exists for dynamic and practical DNA data storage solutions.

Purpose of the Study:

  • To develop a modular DNA data storage system using dynamic DNA bytes (DynaBytes).
  • To enable reconfigurable, interactive, and rewritable data storage in DNA.
  • To advance DNA storage beyond archival applications.

Main Methods:

  • Designed a modular system using pre-fabricated DNA segments (DynaBytes).
  • Organized core, functional, and control DynaBytes into a molecular file system.
  • Implemented CRUD-like operations and real-time nanopore sequencing for data retrieval.

Main Results:

  • Successfully stored 210,776 bits (26,347 bytes) of digital information.
  • Demonstrated hierarchical access and CRUD-like operations.
  • Achieved robust data recovery with error correction in error-prone sequencing.

Conclusions:

  • The DynaByte system offers a cost-effective, scalable, and interactive DNA data storage solution.
  • This approach moves DNA storage from passive archiving to a dynamic, reconfigurable framework.
  • Enables practical, large-scale DNA-based data systems for dynamic information management.