Scaling up Bayesian population phylogenomics through virtual dimension reduction.

Flouri T, Jiao X, Huang J, Rannala B, Yang Z

DOI: 10.1038/s41467-026-71057-z
Published: 2026 Apr 8
Container: Nature communications
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41467-026-71057-z,
  title = {Scaling up Bayesian population phylogenomics through virtual dimension reduction.},
  author = {Flouri T and Jiao X and Huang J and Rannala B and Yang Z},
  year = {2026},
  journal = {Nature communications},
  doi = {10.1038/s41467-026-71057-z},
  url = {https://doi.org/10.1038/s41467-026-71057-z}
}

RIS

TY  - JOUR
TI  - Scaling up Bayesian population phylogenomics through virtual dimension reduction.
AU  - Flouri T
AU  - Jiao X
AU  - Huang J
AU  - Rannala B
AU  - Yang Z
PY  - 2026
JO  - Nature communications
DO  - 10.1038/s41467-026-71057-z
UR  - https://doi.org/10.1038/s41467-026-71057-z
ER  -

APA

T, F., X, J., J, H., B, R., & Z, Y. (2026). Scaling up Bayesian population phylogenomics through virtual dimension reduction.. Nature communications. https://doi.org/10.1038/s41467-026-71057-z

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pubmed · retrieved 2026-09-26T17:39:35.310Z