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Volume 2 Issue 4, April 2022

High information density for DNA data storage

DNA is a promising medium for data storage. Yet, designing a transcoding algorithm that can achieve high information density (meaning, high number of bytes per gram of DNA) while providing robust error tolerance is still a challenge. In this issue, Ping et al. introduce a codec that achieves an in vivo physical information density that is close to the theoretical maximum, while being robust to various types of errors.

See Ping et al. and Manish K. Gupta

Image: lvcandy / DigitalVision Vectors / Getty Images. Cover Design: Alex Wing.

Volume 2 Issue 4


  • The 2021 A. M. Turing Award celebrates Jack Dongarra’s contributions in high-performance computing, which have had a significant impact in computational science.



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Comment & Opinion

  • The rapidly growing demand to share data more openly creates a need for secure and privacy-preserving sharing technologies. However, there are multiple challenges associated with the development of a universal privacy-preserving data sharing mechanism, and existing solutions still fall short of their promises.

    • Theresa Stadler
    • Carmela Troncoso
  • Dr Jack Dongarra, Distinguished Professor at the University of Tennessee and recipient of the 2021 A. M. Turing Award, spoke with Nature Computational Science about his contributions to high-performance computing (HPC) and his insights into the future of this field.

    • Fernando Chirigati
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Research Highlights

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News & Views

  • A dynamic model of SARS-CoV-2 transmission is integrated with a 63-sector economic model to identify control strategies for optimizing economic production while keeping schools and universities operational, and for constraining infections such that emergency hospital capacity is not exceeded.

    • Aditya Goenka
    • Lin Liu
    News & Views
  • A robust and reliable codec is the backbone for any digital DNA storage. A recent work introduces a codec based on ancient Chinese philosophy, yin–yang, that outperforms other codecs in terms of reliability and physical information density.

    • Manish K. Gupta
    News & Views
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Research Briefings

  • Stochastic modeling of antibody binding dynamics on patterned antigen substrates suggests the separation distance between adjacent antigens could be a control mechanism for the directed bipedal migration of bound antibodies.

    Research Briefing
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