Introduction

The rapid advancement of artificial intelligence has driven unprecedented data growth, placing immense pressure on traditional storage media. DNA has emerged as a promising alternative, offering ultra-high density, long-term durability, and low energy consumption. It has thus attracted increasing interest from researchers across biology, computer science, biotechnology, and related fields. In July 2019, Scientific American named DNA storage one of its top 10 breakthrough technologies of the year. With its high data density, long-lasting storage, and low maintenance cost, DNA has become a new information medium with great potential.

At the same time, biological computing-as an emerging computational paradigm-has achieved significant progress over recent decades, positioning DNA-based systems at the forefront of next-generation information technology. Despite significant progress, both fields face critical challenges that hinder practical adoption. For DNA storage, high costs and error rates in synthesis and sequencing, limited scalability of encoding and decoding algorithms, lack of random access capabilities, and unreliable data recovery remain major obstacles. For DNA computing, challenges include the complexity of designing scalable molecular circuits, limited computational speed, high error rates in biochemical reactions, and the difficulty of integrating computational modules with storage functions.

Addressing these challenges requires interdisciplinary approaches that advance both the fundamental science and engineering of DNA-based systems, particularly for applications that demand integrated storage and computing capabilities. This workshop aims to provide a dedicated forum for researchers and practitioners to present and discuss recent advances in DNA storage and DNA computing. It welcomes contributions spanning DNA storage coding and data recovery, sequencing error correction, DNA-based computational models, molecular logic circuits and strand displacement systems, high-density algorithms, and the integration of artificial intelligence with DNA-based systems Special emphasis will be placed on approaches that bridge storage and computing functions, as well as applications in biomedical data management, molecular information processing, and synthetic biology.

By bringing together expertise from bioinformatics, computer science, biotechnology, and biomedical engineering, the workshop seeks to foster interdisciplinary exchange, identify open challenges, and advance DNA storage and DNA computing technologies toward meaningful real-world applications.

Research Topics

Topics of interest include, but are not limited to:

  • DNA storage coding and encoding algorithms
  • DNA storage data recovery and error correction
  • DNA sequence alignment and analysis
  • Sequencing error correction for DNA storage
  • Artificial intelligence and machine learning in DNA storage
  • AI for biomedicineDNA-based computational models and architectures
  • Molecular logic gates and DNA circuits
  • Strand displacement systems and reaction networks
  • Bio-computing algorithms and parallel processing
  • Integration of information technology and biotechnology
  • Applications in biomedical data management and synthetic biology
  • Standardization and reliability in DNA-based information systems