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Designing Uncorrelated Address Constrain for DNA Storage by DMVO Algorithm.

Authors :
Cao B
Ii X
Zhang X
Wang B
Zhang Q
Wei X
Source :
IEEE/ACM transactions on computational biology and bioinformatics [IEEE/ACM Trans Comput Biol Bioinform] 2022 Mar-Apr; Vol. 19 (2), pp. 866-877. Date of Electronic Publication: 2022 Apr 01.
Publication Year :
2022

Abstract

At present, huge amounts of data are being produced every second, a situation that will gradually overwhelm current storage technology. DNA is a storage medium that features high storage density and long-term stability and is now considered to be a feasible storage solution. Errors are easily made during the sequencing and synthesis of DNA, however. In order to reduce the error rate, novel uncorrelated address constrain are reported, and a Damping Multi-Verse Optimizer (DMVO)algorithm is proposed to construct a set of DNA coding, which is used as the non-payload. The DMVO algorithm exchanges objects through black/white holes in order to achieve a stable state and adds damping factors as disturbances. Compared with previous work, the coding set obtained by the DMVO algorithm is larger in size and of higher quality. The results of this study reveal that the size of the DNA storage coding set obtained by the DMVO algorithm increased by 4-16 percent, and the variance of the melting temperature decreased by 3-18 percent.

Subjects

Subjects :
Algorithms
DNA genetics

Details

Language :
English
ISSN :
1557-9964
Volume :
19
Issue :
2
Database :
MEDLINE
Journal :
IEEE/ACM transactions on computational biology and bioinformatics
Publication Type :
Academic Journal
Accession number :
32750895
Full Text :
https://doi.org/10.1109/TCBB.2020.3011582