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Towards practical and robust DNA-based data archiving using the yin–yang codec system

  • Zhi Ping
  • , Shihong Chen
  • , Guangyu Zhou
  • , Xiaoluo Huang
  • , Sha Joe Zhu
  • , Haoling Zhang
  • , Henry H. Lee
  • , Zhaojun Lan
  • , Jie Cui
  • , Tai Chen
  • , Wenwei Zhang
  • , Huanming Yang
  • , Xun Xu
  • , George M. Church
  • , Yue Shen
  • BGI-Shenzhen
  • Shenzhen Institute of Advanced Technology
  • Harvard University
  • University of Oxford
  • Capital Normal University

Research output: Contribution to journalArticlepeer-review

135 Scopus citations

Abstract

DNA is a promising data storage medium due to its remarkable durability and space-efficient storage. Early bit-to-base transcoding schemes have primarily pursued information density, at the expense of introducing biocompatibility challenges or decoding failure. Here we propose a robust transcoding algorithm named the yin–yang codec, using two rules to encode two binary bits into one nucleotide, to generate DNA sequences that are highly compatible with synthesis and sequencing technologies. We encoded two representative file formats and stored them in vitro as 200 nt oligo pools and in vivo as a ~54 kbps DNA fragment in yeast cells. Sequencing results show that the yin–yang codec exhibits high robustness and reliability for a wide variety of data types, with an average recovery rate of 99.9% above 104 molecule copies and an achieved recovery rate of 87.53% at ≤102 copies. Additionally, the in vivo storage demonstration achieved an experimentally measured physical density close to the theoretical maximum.

Original languageEnglish
Pages (from-to)234-242
Number of pages9
JournalNature Computational Science
Volume2
Issue number4
DOIs
StatePublished - Apr 2022
Externally publishedYes

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