DivideFold+: an AI-based tool for RNA secondary structure prediction with subdomains identification and visualization and data augmentation
- DOI
- 10.1016/j.jmb.2026.169865
- Published
- 2026-09
- Container
- Journal of Molecular Biology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jmb.2026.169865,
title = {DivideFold+: an AI-based tool for RNA secondary structure prediction with subdomains identification and visualization and data augmentation},
author = {Loïc Omnes and Eric Angel and Fariza Tahi},
year = {2026},
journal = {Journal of Molecular Biology},
doi = {10.1016/j.jmb.2026.169865},
url = {https://doi.org/10.1016/j.jmb.2026.169865}
}RIS
TY - JOUR TI - DivideFold+: an AI-based tool for RNA secondary structure prediction with subdomains identification and visualization and data augmentation AU - Loïc Omnes AU - Eric Angel AU - Fariza Tahi PY - 2026 JO - Journal of Molecular Biology DO - 10.1016/j.jmb.2026.169865 UR - https://doi.org/10.1016/j.jmb.2026.169865 ER -
APA
Omnes, L., Angel, E., & Tahi, F. (2026). DivideFold+: an AI-based tool for RNA secondary structure prediction with subdomains identification and visualization and data augmentation. Journal of Molecular Biology. https://doi.org/10.1016/j.jmb.2026.169865
Source records
- crossref · retrieved 2026-09-26T10:35:33.572Z