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Published on: December 29, 2021
Novel Modalities in DNA Data Storage
Cheng Kai Lim1, Saurabh Nirantar2, Wen Shan Yew3
1NUS Graduate School of Integrative Sciences and Engineering, National University of Singapore, Singapore 119077, Singapore; NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), Centre for Life Sciences, National University of Singapore, Singapore 117456, Singapore.
DNA data storage offers exponential expansion but faces cost and throughput limitations. This review explores novel molecular biology-inspired methods and potential applications for scalable DNA information storage.
Area of Science:
- Biotechnology
- Bioinformatics
- Molecular Biology
Background:
- DNA data storage is rapidly advancing, converting digital bits into nucleotides for storage and sequencing.
- Current methods face challenges in DNA synthesis/sequencing costs and low throughput.
- Questions remain regarding optimal storage media and commercial scalability.
Purpose of the Study:
- To review DNA storage modalities from a systems-level perspective.
- To compare novel methods overcoming standard workflow limitations.
- To conceptualize potential applications of advanced DNA storage.
Main Methods:
- Systems-level analysis of various DNA storage modalities.
- Comparison of novel techniques inspired by molecular biology.
- Literature review of existing and emerging DNA data storage approaches.
Main Results:
- Identified limitations in current DNA data storage, including cost and throughput.
- Highlighted novel approaches leveraging molecular biology for improved efficiency.
- Explored diverse storage media and their suitability.
Conclusions:
- Novel molecular biology-inspired techniques show promise for overcoming current DNA data storage challenges.
- Further research into storage media and scalability is crucial for commercial viability.
- Advanced DNA storage holds potential for future data archiving and applications.
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