Machine learning-based linking of bacterial genomes to optimal growth pH: a foundation for rational microbial engineering.

Chen H, Yang X, Anas MA, Feng S, Lin Y, Xu G, Ni K, Yang F, Wang X

Open source

DOI
10.1186/s40104-026-01434-7
Published
2026 Jun 11
Container
Journal of animal science and biotechnology
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1186/s40104-026-01434-7,
  title = {Machine learning-based linking of bacterial genomes to optimal growth pH: a foundation for rational microbial engineering.},
  author = {Chen H and Yang X and Anas MA and Feng S and Lin Y and Xu G and Ni K and Yang F and Wang X},
  year = {2026},
  journal = {Journal of animal science and biotechnology},
  doi = {10.1186/s40104-026-01434-7},
  url = {https://doi.org/10.1186/s40104-026-01434-7}
}

RIS

TY  - JOUR
TI  - Machine learning-based linking of bacterial genomes to optimal growth pH: a foundation for rational microbial engineering.
AU  - Chen H
AU  - Yang X
AU  - Anas MA
AU  - Feng S
AU  - Lin Y
AU  - Xu G
AU  - Ni K
AU  - Yang F
AU  - Wang X
PY  - 2026
JO  - Journal of animal science and biotechnology
DO  - 10.1186/s40104-026-01434-7
UR  - https://doi.org/10.1186/s40104-026-01434-7
ER  - 

APA

H, C., X, Y., MA, A., S, F., Y, L., G, X., K, N., F, Y., & X, W. (2026). Machine learning-based linking of bacterial genomes to optimal growth pH: a foundation for rational microbial engineering.. Journal of animal science and biotechnology. https://doi.org/10.1186/s40104-026-01434-7

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