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From spacecraft ranging to massive DNA data storage: Composite ranging codes as indices and error correction

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Area of Science:

  • Biotechnology
  • Data Storage
  • Bioinformatics

Background:

  • DNA data storage offers a promising archival medium but faces challenges in data retrieval due to unordered strands, indexing needs, and error proneness.
  • Efficiently accessing large datasets stored on DNA requires robust indexing and error correction mechanisms.

Purpose of the Study:

  • To develop a novel indexing and progressive recovery framework for massive DNA data storage.
  • To address the critical challenge of retrieving large-scale data from error-prone DNA strands.

Main Methods:

  • Proposed an accompanying indexing and progressive recovery framework utilizing specialized long composite ranging codes (LCRCs).
  • Employed short fractions of LCRCs as indices for data ranging from megabytes to petabytes.
  • Developed correlation and alignment strategies for rapid and reliable data recovery, respectively.

Main Results:

  • Demonstrated the framework's scalability to the petabyte level through simulations.
  • Achieved low-coverage recovery using progressive error correction.
  • Successfully recovered 12.87-megabyte files in approximately 20 minutes with 3.66× coverage and a ~4.9% error rate using a nanopore sequencer.

Conclusions:

  • The proposed framework offers a universal and practical strategy for massive DNA data storage.
  • The LCRC-based indexing and recovery system enhances data retrieval efficiency and reliability.
  • This approach enables real-time, read-by-read decoding for practical DNA data archiving.