Living in the age of data explosion, the research of solutions for efficient long term storage of the infrequently used ”cold” data is becoming of great interest. However, even if existing storage systems suggest efficiency in capacity, they are lacking in durability. Hard disks, flash, tape or even optical storage have limited lifespan in the range of 5 to 20 years. Interestingly, recent studies have proven that due to its biological properties, the DNA is a strong candidate for the storage of digital information allowing also data longevity. The DNA’s biological properties allows the storage of a great amount of information into an extraordinary small volume while also promising efficient storage for centuries or even longer with no loss of information. However, the biological procedures of DNA synthesis and sequencing are expensive while also introducing important restrictions in the encoding process. More precisely the encoding of digital data onto DNA is not obvious, because when decoding, we have to face the problem of sequencing noise robustness. This work proposes a coding solution for the storage of digital images onto synthetic DNA. We developed a new encoding algorithm which generates a DNA code robust to biological errors coming from the synthesis and the sequencing processes. Furthermore, we compare this new algorithm to the state of the art encoding techniques analyzing the advantages of using the proposed method.

生活在数据爆炸的时代，对不经常使用的“冷”数据进行高效长期存储的解决方案的研究正引起人们极大的兴趣。然而，即使现有的存储系统表明容量效率高，它们也缺乏耐用性。硬盘、闪存、磁带甚至光存储的使用寿命都在 5 到 20 年之间。有趣的是，最近的研究证明，由于其生物学特性，DNA 是存储数字信息的有力候选者，还可以延长数据的寿命。DNA 的生物学特性允许将大量信息存储在非常小的体积中，同时也有望有效存储数百年甚至更长的时间而不会丢失信息。然而，DNA 合成和测序的生物程序成本高昂，同时也在编码过程中引入了重要限制。更准确地说，将数字数据编码到 DNA 上并不明显，因为在解码时，我们必须面对测序噪声鲁棒性的问题。这项工作提出了一种将数字图像存储到合成 DNA 上的编码解决方案。我们开发了一种新的编码算法，该算法生成的 DNA 代码对来自合成和测序过程的生物错误具有鲁棒性。此外，我们将这种新算法与分析使用所提出方法的优点的最先进的编码技术进行了比较。我们不得不面对测序噪声鲁棒性的问题。这项工作提出了一种将数字图像存储到合成 DNA 上的编码解决方案。我们开发了一种新的编码算法，该算法生成的 DNA 代码对来自合成和测序过程的生物错误具有鲁棒性。此外，我们将这种新算法与最先进的编码技术进行比较，分析使用所提出方法的优势。我们不得不面对测序噪声鲁棒性的问题。这项工作提出了一种将数字图像存储到合成 DNA 上的编码解决方案。我们开发了一种新的编码算法，该算法生成的 DNA 代码对来自合成和测序过程的生物错误具有鲁棒性。此外，我们将这种新算法与分析使用所提出方法的优点的最先进的编码技术进行了比较。