Current Approaches and Emerging Trends
Book Description
Discover the transformative potential of DNA Data Storage: Innovations and Future Perspectives, the first comprehensive exploration of a groundbreaking field that bridges Computer Science, Biotechnology, Information Technology, and Mathematics. This book provides a multidisciplinary perspective on the cutting-edge technologies and theories that are redefining data storage, offering an in-depth understanding of how DNA can evolve from its biological origins to become the ultimate medium for digital information.
Designed to fill critical gaps in the existing literature, this book moves beyond introductory treatments, diving deeply into DNA synthesis, sequencing, encoding techniques, and error correction mechanisms. Each chapter, authored by internationally recognized experts, presents innovative solutions and real-world applications that address reliability, scalability, and practical challenges in developing DNA-based storage systems. The book’s holistic approach equips readers with foundational principles, state-of-the-art advancements, and future directions, making it an essential resource for researchers, educators, and industry professionals.
Whether you are a bioinformatician, computer scientist, molecular biologist, or data storage engineer, this book offers numerous benefits: actionable insights into hybrid storage systems, robust coding schemes, molecular stability, and scalability strategies. It also serves as a textbook for advanced courses, bridging theory and application with unparalleled clarity. With contributions from authors publishing in top-tier journals like Nature Biotechnology and IEEE Transactions on Information Theory, this authoritative text promises to inspire interdisciplinary innovation and accelerate the adoption of DNA-based data storage solutions.
This book is your gateway to understanding and shaping the future of data storage—an indispensable guide for anyone eager to explore this rapidly advancing frontier.
Keywords
Genomic Data Archiving, Biotechnology in Data Storage, Information Theory in Data Storage, Next-Generation Storage Solutions, Bit-to-base transcoding, High-throughput DNA synthesis, DNA sequencing, Nanopore sequencing, Error-correction, AI-powered DNA storage solution, Data Compression Algorithm for DNA, DNA Computing, Biosafety, DNA nanostructure, DNA storage architecture and random retrieval, Cloud storage, DNA Storage Codecs, Emerging Areas, DNA nanotechnology, Standards, ISO, JPEG, Future Market. Futuristic Technology, Green Storage, Sustainable Storage.
Introduction to DNA Storage Technology
Cost-efficient information writing-in for DNA data storage
Rapid and accurate information reading-out
DNA nanostructures for storage architecture
Tools boost data operation at the molecular level
Error Correction Using Cyclic Redundancy Check (CRC)
Error Detection and Correction with BCH Codes
Towards Real-World DNA Error Correction: Hybrid Approaches
Optimization of Error Correction Schemes for DNA Synthesis and Sequencing
Deep Learning for DNA Data Encoding and Decoding
Predicting DNA Synthesis and Sequencing Errors Using AI
Designing DNA Codes with Constraints for Robust Storage
Deep Learning and Constraint-Based Encoding for DNA Storage
Emerging approaches to DNA data storage: challenges and prospects
Automated end-to-end DNA data storage systems
Long-term DNA storage based on archival standards
In vivo bacterial data storage solutions
Biosecurity in DNA Data Storage
Media (JPEG) storage standards in DNA data storage
Rewritable DNA data storage
Market for DNA data storage
Important Dates
Abstract Submission: 15 Apr 2025 (Extended: 30 April 2025)
Abstract Acceptance: 30 Apr 2025 (Extended: 15 May 2025)
Full Chapter Submission: 31 Jul 2025 (Extended: 31 August 2025)
Chapter Acceptance: 30 Sep 2025
Submission to Publisher: 31 Oct 2025