A generative adversarial network for multiple reads reconstruction in DNA storage
Abstract DNA storage is widely considered as a promising solution to the data explosion problem. However, the synthesis, PCR and sequencing processes usually result in erroneous reads involving base insertions, deletions, and substitutions. Specially this situation is even more serious in the 3rd ge...
Saved in:
| Main Authors: | Xiaodong Zheng, Ranze Xie, Xiangyu Yao, Yanqing Su, Ling Chu, Peng Xu, Wenbin Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-83806-5 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Review of DNA Cryptography
by: Ling Chu, et al.
Published: (2025-01-01) -
Predict the degree of secondary structures of the encoding sequences in DNA storage by deep learning model
by: Wanmin Lin, et al.
Published: (2025-07-01) -
A Study on an Improved Generative Adversarial Network Model for Super-Resolution Image Reconstruction
by: Ximin Qu, et al.
Published: (2025-01-01) -
Super-resolution reconstruction of mine image based on generative adversarial network
by: Fan ZHANG, et al.
Published: (2025-06-01) -
Diffused Multi-scale Generative Adversarial Network for low-dose PET images reconstruction
by: Xiang Yu, et al.
Published: (2025-02-01)