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.

中文翻译：

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大规模DNA数据存储中的随机访问。

合成DNA坚固耐用，可以高密度编码数字数据，使其成为有吸引力的数据存储介质。但是，即使只需要提取一部分信息，目前要大规模恢复存储的数据也需要对池中的所有DNA进行测序。在这里，我们用超过1300万个DNA寡核苷酸对35个不同的文件（超过200 MB的数据）进行编码和存储，并表明我们可以使用随机访问方法单独恢复每个文件而没有错误。我们设计并验证了一个大型的引物库，可以对DNA中存储的所有文件进行单独恢复。我们还开发了一种算法，该算法通过最大化所有序列读取的信息来大大减少无错误解码所需的序列读取覆盖率。这些进步证明了可行的方法，