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Molecular Storage System (MoSS): Intelligent DNA Data Storage

Molecular Storage System (MoSS): Intelligent DNA Data Storage
分子存储系统 (MoSS):智能 DNA 数据存储
批准号:
10038115
负责人:
金额:
$45.3万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

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英文摘要
Molecular Storage System (MoSS): Intelligent DNA Data Storage Several groups, including Helixworks, have demonstrated DNA storage systems over the last few years. The information stored has steadily increased from a few kilobytes to several hundred megabytes. However, current DNA synthesis techniques based on phosphonamidite chemistry are designed for manufacturing error-free DNA for biological applications. Today, synthetic DNA costs $0.001 per nucleotide, making DNA storage seven orders of magnitude more expensive than tape. Based on results generated from the FET Open project ?OligoArchive? (grant agreement 863320), three of the participants (Helixworks Technologies Limited, Imperial College of Science Technology and Medicine, and EURECOM) are seeking to take the OligoArchive results further, through the development of MoSS ? a new DNA storage system based on a novel enzymatic technique for writing DNA at scale (this innovation was assessed by the JRC?s Market Creation Potential indicator framework as having a ?High? level of market creation potential). In MoSS, we will investigate novel enzymatic synthesis techniques that can dramatically reduce cost of DNA synthesis by exploiting that using DNA as a data storage medium does not require precise, error-free synthesis. Our consortium members are at the forefront in both academic research (Imperial, Eurecom) in structural biology (especially DNA-binding proteins), synthetic biology, and automation (including cell-free protein synthesis), and industrial research (Helixworks) in pursuing novel, scalable, enzymatic synthesis techniques that can offer low-cost, high-throughput write path to DNA storage.
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面向 In-Storage 智能计算的高性能 SSD 控制器研究
  • 批准号:
    ZCLJHSQY26F0401
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
    何越
  • 依托单位:
面向in-storage智能计算的固态硬盘缓存管理优化
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2022
  • 负责人:
    廖剑伟
  • 依托单位: