A DNA Data Storage Method Using Spatial Encoding Based Lossless Compression
Author Information
Author(s): Şatır Esra, Milenković Olgiça
Primary Institution: Düzce University
Hypothesis
The proposed DNA data storage method using spatial encoding will be more efficient in terms of capacity compared to existing algorithms.
Conclusion
The proposed method demonstrates significantly improved efficiency in data storage capacity, compression ratio, stability, and reliability.
Supporting Evidence
- The proposed method achieved a storage capacity of 1.99 bits per nucleotide.
- The compression ratio remained stable at 50%.
- The average GC content was estimated at 46.2%, ensuring stability.
- The original input stream was recovered without any information loss after sequencing.
Takeaway
This study shows a new way to store data in DNA that can hold a lot more information than before, making it a better option for the future.
Methodology
The study involved encoding binary data into DNA sequences using a two-dimensional spatial domain and conducting experiments to analyze capacity, compression ratio, stability, and reliability.
Limitations
The method's practical running time and the challenge of using DNA in living organisms due to mutations need further investigation.
Participant Demographics
The study utilized a standard dataset of DNA sequences including chloroplast genomes, human genes, mitochondrial genomes, and viral genomes.
Digital Object Identifier (DOI)
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