R&D: Effective DNA-Based File Storage System for Practical Archiving and Retrieval of Medical MRI Data

Small Methods has published an article written by Abdur Rasool, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China, and Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, 518055 China, Jingwei Hong, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China, College of Mathematics and Information Science, Hebei University, Baoding, 071002 China, Zhiling Hong, Quanzhou Development Group Co., Ltd, Quanzhou, 362000 China, Yuanzhen Li, Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen, 518055 China, and Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China, Chao Zou, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China, Hui Chen, Shenzhen Polytechnic University, Shenzhen, 518055 China, Qiang Qu, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China, Yang Wang, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China, Qingshan Jiang, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China, Xiaoluo Huang, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China, and Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen, 518055 China, and Junbiao Dai, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China, and Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518055 China.

Abstract: “DNA-based data storage is a new technology in computational and synthetic biology, that offers a solution for long-term, high-density data archiving. Given the critical importance of medical data in advancing human health, there is a growing interest in developing an effective medical data storage system based on DNA. Data integrity, accuracy, reliability, and efficient retrieval are all significant concerns. Therefore, this study proposes an Effective DNA Storage (EDS) approach for archiving medical MRI data. The EDS approach incorporates three key components (i) a novel fraction strategy to address the critical issue of rotating encoding, which often leads to data loss due to single base error propagation; (ii) a novel rule-based quaternary transcoding method that satisfies bio-constraints and ensure reliable mapping; and (iii) an indexing technique designed to simplify random search and access. The effectiveness of this approach is validated through computer simulations and biological experiments, confirming its practicality. The EDS approach outperforms existing methods, providing superior control over bio-constraints and reducing computational time. The results and code provided in this study open new avenues for practical DNA storage of medical MRI data, offering promising prospects for the future of medical data archiving and retrieval.“