| Literature DB >> 32750895 |
Ben Cao, Xue Ii, Xiaokang Zhang, Bin Wang, Qiang Zhang, Xiaopeng Wei.
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.Entities:
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Year: 2022 PMID: 32750895 DOI: 10.1109/TCBB.2020.3011582
Source DB: PubMed Journal: IEEE/ACM Trans Comput Biol Bioinform ISSN: 1545-5963 Impact factor: 3.710