A high storage density strategy for digital information based on synthetic DNA

Area of Science:

• Biotechnology
• Bioinformatics
• Information Science

Background:

• DNA is a promising medium for information storage.
• High cost of DNA synthesis and low storage density are key challenges.
• Need for efficient data encoding and error correction in DNA data storage.

Purpose of the Study:

• To develop a novel scheme for high-density digital information storage in synthetic DNA.
• To improve storage density and error correction capabilities.
• To optimize the utilization of DNA nucleotides for data storage.

Main Methods:

• Implementation of quaternary Huffman coding for compressing binary data streams.
• Conversion of compressed data into DNA sequences.
• Application of quaternary Hamming code for error detection and correction during synthesis and sequencing.
• Experimental validation of the storage scheme with 5.2 KB of data.

Main Results:

• Achieved a high compression ratio using quaternary Huffman coding, especially for non-uniform data distributions.
• Demonstrated increased information storage per DNA base, enhancing overall storage density.
• Successfully converted 5.2 KB of files into 3934 bits encoded in DNA bases.
• Experimental results show superior storage density compared to existing state-of-the-art DNA data storage methods.

Conclusions:

• The proposed scheme effectively increases DNA data storage density through optimized compression.
• Quaternary Hamming code provides robust error correction for DNA data storage.
• This method offers a viable solution for efficient and reliable digital information storage in synthetic DNA.