Genome-guided generative adversarial learning enables nanopore adaptive sequencing.

Zhang Y, Sun P, Zhang J, Fu Z, Bo X, Guan D, Ni M, Ren Z

Open source

DOI
10.1038/s41467-026-73785-8
Published
2026 Jun 2
Container
Nature communications
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41467-026-73785-8,
  title = {Genome-guided generative adversarial learning enables nanopore adaptive sequencing.},
  author = {Zhang Y and Sun P and Zhang J and Fu Z and Bo X and Guan D and Ni M and Ren Z},
  year = {2026},
  journal = {Nature communications},
  doi = {10.1038/s41467-026-73785-8},
  url = {https://doi.org/10.1038/s41467-026-73785-8}
}

RIS

TY  - JOUR
TI  - Genome-guided generative adversarial learning enables nanopore adaptive sequencing.
AU  - Zhang Y
AU  - Sun P
AU  - Zhang J
AU  - Fu Z
AU  - Bo X
AU  - Guan D
AU  - Ni M
AU  - Ren Z
PY  - 2026
JO  - Nature communications
DO  - 10.1038/s41467-026-73785-8
UR  - https://doi.org/10.1038/s41467-026-73785-8
ER  - 

APA

Y, Z., P, S., J, Z., Z, F., X, B., D, G., M, N., & Z, R. (2026). Genome-guided generative adversarial learning enables nanopore adaptive sequencing.. Nature communications. https://doi.org/10.1038/s41467-026-73785-8

Source records