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PreprintAll rights reservedbioRxiv

PlantRegMoD: An integrative and AI-driven multi-omics database for plant regeneration research

8 more authors
  1. 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  -