DNA-Based Computing and Data Storage
- Submission status
- Open
- Submission deadline
With the exponential growth of digital data and the limitations of conventional silicon-based storage and computing technologies, bio-inspired, DNA-driven computing and information storage has emerged as a promising solution. DNA’s high density, stability, and longevity enable efficient data encoding, processing, and retrieval while requiring minimal space. By bridging the gap between biology, computer science and engineering techniques, DNA as a computational and storage medium offers scalable and sustainable alternatives to traditional digital technologies. However, DNA computing faces challenges such as slower processing speed, molecular degradation, difficulty in data retrieval, high error rates, and complex encoding and scalability issues compared to traditional computing.
Topics of interest include, but are not limited to
DNA Data Storage Technologies - Encoding and decoding strategies, error correction mechanisms, advances in DNA synthesis and sequencing
Molecular Computing and DNA-Based Algorithms - Logic gate operations, neural networks and artificial intelligence models
And practical applications, implementation challenges and future perspectives related to the above topics.
All participating journals invite submissions of original research, with Nature Communications, Communications Biology, Communications Engineering and npj Unconventional Computing also considering Reviews, Perspectives and Comments which fall within the scope of the collection. All submissions will be subject to the same peer review process and editorial standards as other articles submitted to the participating journals.
Nature Communications is edited by in-house professional editors.
Communications Biology is edited by both in-house professional editors and Editorial Board Members.
Communications Engineering is edited by both in-house professional editors and Editorial Board Members.
npj Unconventional Computing is edited by a team of external academic editors.
Scientific Reports is managed by in-house professional editors and edited by Editorial Board Members.
Our editors work closely together to ensure the quality of our published papers and consistency in author experience.
