Machine learning-based mapping of Acidobacteriota and Planctomycetota using 16 S rRNA gene metabarcoding data across soils in Russia
- DOI
- 10.1038/s41598-025-08050-x
- Published
- 2025-07-03
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-08050-x,
title = {Machine learning-based mapping of Acidobacteriota and Planctomycetota using 16 S rRNA gene metabarcoding data across soils in Russia},
author = {E. A. Ivanova and A. R. Suleymanov and D. A. Nikitin and M. V. Semenov and E. V. Abakumov},
year = {2025},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-08050-x},
url = {https://doi.org/10.1038/s41598-025-08050-x}
}RIS
TY - JOUR TI - Machine learning-based mapping of Acidobacteriota and Planctomycetota using 16 S rRNA gene metabarcoding data across soils in Russia AU - E. A. Ivanova AU - A. R. Suleymanov AU - D. A. Nikitin AU - M. V. Semenov AU - E. V. Abakumov PY - 2025 JO - Scientific Reports DO - 10.1038/s41598-025-08050-x UR - https://doi.org/10.1038/s41598-025-08050-x ER -
APA
Ivanova, E. A., Suleymanov, A. R., Nikitin, D. A., Semenov, M. V., & Abakumov, E. V. (2025). Machine learning-based mapping of Acidobacteriota and Planctomycetota using 16 S rRNA gene metabarcoding data across soils in Russia. Scientific Reports. https://doi.org/10.1038/s41598-025-08050-x
Source records
- crossref · retrieved 2026-09-26T15:40:59.048Z