Decoding the rhizosphere microbiome against Sclerotium rolfsii: integrating multi-omics and AI-driven predictive models.

Das A, Boddana P, Paul P, Banerjee P, Das S

Open source

DOI: 10.3389/frmbi.2026.1884781
Published: 2026
Container: Frontiers in microbiomes
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frmbi.2026.1884781,
  title = {Decoding the rhizosphere microbiome against Sclerotium rolfsii: integrating multi-omics and AI-driven predictive models.},
  author = {Das A and Boddana P and Paul P and Banerjee P and Das S},
  year = {2026},
  journal = {Frontiers in microbiomes},
  doi = {10.3389/frmbi.2026.1884781},
  url = {https://doi.org/10.3389/frmbi.2026.1884781}
}

RIS

TY  - JOUR
TI  - Decoding the rhizosphere microbiome against Sclerotium rolfsii: integrating multi-omics and AI-driven predictive models.
AU  - Das A
AU  - Boddana P
AU  - Paul P
AU  - Banerjee P
AU  - Das S
PY  - 2026
JO  - Frontiers in microbiomes
DO  - 10.3389/frmbi.2026.1884781
UR  - https://doi.org/10.3389/frmbi.2026.1884781
ER  -

APA

A, D., P, B., P, P., P, B., & S, D. (2026). Decoding the rhizosphere microbiome against Sclerotium rolfsii: integrating multi-omics and AI-driven predictive models.. Frontiers in microbiomes. https://doi.org/10.3389/frmbi.2026.1884781

Source records

pubmed · retrieved 2026-09-26T17:15:13.077Z
europe-pmc · retrieved 2026-09-26T17:15:13.091Z
doaj · retrieved 2026-09-26T17:15:13.098Z