.png){kind=icon}
返回
Content-based filter queries on DNA data storage systems
.png){kind=icon}
OA
AI
DOI：10.1038/s41598-023-34160-5.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Recent developments in DNA data storage systems have revealed the great potential to store large amounts of data at a very high density with extremely long persistence and low cost. However, despite recent contributions to robust data encoding, current DNA storage systems offer limited support for random access on DNA storage devices due to restrictive biochemical constraints. Moreover, state-of-the-art approaches do not support content-based filter queries on DNA storage. This paper introduces the first encoding for DNA that enables content-based searches on structured data like relational database tables. We provide the details of the methods for coding and decoding millions of directly accessible data objects on DNA. We evaluate the derived codes on real data sets and verify their robustness.
Keyword:
DIGITAL INFORMATION
GENOMES
ROBUST
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.9
论文数:
28.0W
被引数:
83.5W
机构
引用论文
.png){kind=icon}
Computation of Intermolecular Interactions with a Combined Quantum Mechanical and Classical Approach
PREAI
分享收藏Metabolic cooperation and spatiotemporal niche partitioning in a kefir microbial communitykefir微生物群落中的代谢合作和时空生态位分配OAAI
OAAI分享收藏Genetic variations of ISL1 associated with human congenital heart disease in Chinese Han people中国汉族人群ISL1基因遗传变异与先天性心脏病的关系OAAI
OAAI分享收藏
查看更多内容