具有内容搜索功能的DNA数据存储研究

DNA数据存储具有寿命长、能耗低和存储密度高的特点，是一种前景广阔的新型信息存储方法。基于内容的数据检索是存储系统的重要功能。当前，DNA存储系统的内容搜索功能依赖电子计算机实现，限制了DNA存储的应用场景。如何提高DNA数据存储规模化能力、拓展DNA存储系统的功能，是实现大规模DNA数据存储的关键所在。本项目拟研究具有内容搜索功能的DNA数据存储方法：利用模块化代码字之间的动态组合，生成原始数据的DNA分子拷贝，构建可扩展的DNA数据库；利用特征索引DNA电路处理关键字序列，计算输出引物序列，扩增匹配度高的数据分子，实现基于内容的DNA数据库搜索；利用生物酶组合切割策略，加密引物序列，提高DNA数据库安全性；通过对固态纳米孔生物化学修饰，实现DNA数据高通量读取。本项目研究成果将为DNA数据存储提供新技术，为“近数据”DNA计算机的构建提供新方法。

DNA data storage uses DNA molecules to store data information. It has the advantage of long life, low energy consumption and extremely high storage density. It is a promising new data storage technology. How to implement more scalable DNA data storage technology and extend the functions of DNA data storage is the key scientific question. Content-based search is fundamental for data storage systems. The recent DNA data storage systems implement content-based search with the help of electronic computers, thus limited the utility of DNA data storage. This project intends to study DNA data storage based with content-based search capacity. The research content includes the design of a DNA storage code word library to improve the scale of DNA data storage. The index layer based on the DNA molecular cascading circuit is designed to implement content-based DNA database information search; An encryption method based on bio-enzyme cutting to improve the robustness of DNA storage encryption; To improve the solid nanopore with chemical or biological modification, to reduce the error rate of DNA data reading, etc. The research results will provide new technologies for more efficient DNA data storage and new methods for the construction of "near data" DNA computers.