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A dual-rule encoding DNA storage system using chaotic mapping to control GC content.
Zhang, Xuncai; Qi, Baonan; Niu, Ying.
Afiliación
  • Zhang X; College of Electrical Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450000, Henan, China.
  • Qi B; College of Electrical Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450000, Henan, China.
  • Niu Y; College of Building Environment Engineering, Zhengzhou University of Light Industry, Zhengzhou 450000, Henan, China.
Bioinformatics ; 40(3)2024 03 04.
Article en En | MEDLINE | ID: mdl-38419588
ABSTRACT
MOTIVATION DNA as a novel storage medium is considered an effective solution to the world's growing demand for information due to its high density and long-lasting reliability. However, early coding schemes ignored the biologically constrained nature of DNA sequences in pursuit of high density, leading to DNA synthesis and sequencing difficulties. This article proposes a novel DNA storage coding scheme. The system encodes half of the binary data using each of the two GC-content complementary encoding rules to obtain a DNA sequence.

RESULTS:

After simulating the encoding of representative document and image file formats, a DNA sequence strictly conforming to biological constraints was obtained, reaching a coding potential of 1.66 bit/nt. In the decoding process, a mechanism to prevent error propagation was introduced. The simulation results demonstrate that by adding Reed-Solomon code, 90% of the data can still be recovered after introducing a 2% error, proving that the proposed DNA storage scheme has high robustness and reliability. Availability and implementation The source code for the codec scheme of this paper is available at https//github.com/Mooreniah/DNA-dual-rule-rotary-encoding-storage-system-DRRC.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / ADN Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / ADN Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido