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PlantRegMoD: An integrative and AI-driven multi-omics database for plant regeneration research
- 1Huazhong Agricultural University
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BibTeX
@misc{li2026plantregmod,
title = {{PlantRegMoD: An integrative and AI-driven multi-omics database for plant regeneration research}},
author = {Y.-M. Li and Y.-B. Ma and L.-Y. Gui and Y. Tang and C. Meng and Y. Li and L. Yao and J. Zhang and S. Xia and Y. Peng and S. Song and Z. Zeng and J.-B. He and N. Zhang and P.-X. Xiao and Y. Xu and L. Tan and A. Iwase and C. Chen and W.-B. Jiao},
howpublished = {bioRxiv},
year = {2026},
month = sep,
doi = {10.64898/2026.09.15.751352},
url = {https://www.biorxiv.org/content/10.64898/2026.09.15.751352v1},
}
RIS
TY - UNPB
TI - PlantRegMoD: An integrative and AI-driven multi-omics database for plant regeneration research
AU - Y.-M. Li
AU - Y.-B. Ma
AU - L.-Y. Gui
AU - Y. Tang
AU - C. Meng
AU - Y. Li
AU - L. Yao
AU - J. Zhang
AU - S. Xia
AU - Y. Peng
AU - S. Song
AU - Z. Zeng
AU - J.-B. He
AU - N. Zhang
AU - P.-X. Xiao
AU - Y. Xu
AU - L. Tan
AU - A. Iwase
AU - C. Chen
AU - W.-B. Jiao
PY - 2026
DA - 2026/09/15
PB - bioRxiv
DO - 10.64898/2026.09.15.751352
UR - https://www.biorxiv.org/content/10.64898/2026.09.15.751352v1
ER -