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Compressed DNA Coding Using Minimum Variance Huffman Tree

机译:使用最小方差霍夫曼树进行压缩的DNA编码

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摘要

DNA data storage is a highly emerging technology of storing large amount of data in a small volume for a long period of time. However, synthesis of DNA sequences come with a cost that depends on the number of nucleotides present in it. An efficient algorithm to store large amount of data in small number of nucleotides has been proposed which uses minimum-variance Huffman coding. The DNA sequences generated follow GC-constraint and run-length constraint of at most 1. Texts have been stored in lossless manner. Images have been stored in both lossless and lossy manner. In either of the cases, a high code-rate has been attained, thus implying good compression and reduction in cost of synthesis.
机译:DNA数据存储是一种高度新兴的技术,可以长时间在较小的体积中存储大量数据。然而,DNA序列的合成具有成本,其取决于存在的核苷酸的数量。已经提出了一种高效的算法,用于存储少量核苷酸的大量数据,其使用最小 - 方差霍夫曼编码。产生的DNA序列遵循GC-约束和最多的运行长度约束。文本已以无损方式存储。图像以无损和有损方式存储。在任何一种情况下,已经实现了高码率,因此暗示了合成成本的良好压缩和降低。

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