2025/01/01 by Adriano Galindo Leal, Thiago Yuji Aoyagi, André G. Costa-Martins +6 · 1 voice
Biochemistry, Genetics and Molecular Biology · Computer Science · #Algorithms and Data Compression #Cellular Automata and Applications #DNA and Biological Computing
paper · pdf · doi:10.1016/j.csbj.2025.09.002
openalex publication_date 2025/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31
We introduce Pantheon-DNA, an end-to-end processing pipeline for DNA data storage that effectively addresses scalability challenges while efficiently managing large datasets, maintaining ≥99.996% retrievability at 10× coverage under both LER and HER in our tests. To prevent repetitive patterns in DNA sequences, which potentially cause chimeras at the molecular level and also hinder clustering algorithms, we propose a data arrangement scheme and a randomization procedure during encoding. We use block data architecture to enhance parallel processing and retrieval. The proposed sequencing data preprocessing pipeline utilizes prior knowledge of the data structure encoded in the DNA sequences to simplify conventional clustering routines and reduce computational complexity. The system's robustness and reliability are validated through an actual synthesis and sequencing experiment, which encodes and decodes 1.59 MB of data containing multiple files. Future enhancements will focus on refining error correction capabilities, particularly for indel recovery, as well as optimizing preprocessing efficiency and sensitivity.