Predict the degree of secondary structures of the encoding sequences in DNA storage by deep learning model

Predict the degree of secondary structures of the encoding sequences in DNA storage by deep learning model

Abstract DNA storage has been widely considered as a promising alternative for exponentially growing data. However, the inherent complex secondary structures severely compromise the processes of synthesis, PCR amplification, and sequencing, interfering with reliable information recovery. In large-sc...

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Bibliographic Details
Main Authors: Wanmin Lin, Ling Chu, Xiangyu Yao, Zhihua Chen, Peng Xu, Wenbin Liu
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
DNA storage
Secondary structure
Synthesis
Sequencing
Deep learning model
Online Access:https://doi.org/10.1038/s41598-025-05717-3
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