编码
计算机科学
随机存取
DNA测序
计算机数据存储
DNA
寡核苷酸
计算生物学
生物
遗传学
计算机硬件
基因
操作系统
作者
Lee Organick,Siena Dumas Ang,Yuan Jyue Chen,Randolph Lopez,Sergey Yekhanin,Konstantin Makarychev,Miklós Z. Rácz,Govinda M. Kamath,Parikshit Gopalan,Bichlien H. Nguyen,Christopher N. Takahashi,Sharon Newman,Hsing Yeh Parker,Cyrus Rashtchian,Kendall Stewart,Gagan Gupta,Robert H. Carlson,John Mulligan,Douglas M. Carmean,Georg Seelig,Luís Ceze,Karin Strauß
摘要
Synthetic DNA is durable and can encode digital data with high density, making it an attractive medium for data storage. However, recovering stored data on a large-scale currently requires all the DNA in a pool to be sequenced, even if only a subset of the information needs to be extracted. Here, we encode and store 35 distinct files (over 200 MB of data), in more than 13 million DNA oligonucleotides, and show that we can recover each file individually and with no errors, using a random access approach. We design and validate a large library of primers that enable individual recovery of all files stored within the DNA. We also develop an algorithm that greatly reduces the sequencing read coverage required for error-free decoding by maximizing information from all sequence reads. These advances demonstrate a viable, large-scale system for DNA data storage and retrieval.
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