Improving the resolution and informativity of the majority-rule consensus tree using fine-grained dissimilarity measures

Yuki Takazawa, Atsushi Takeda, Momoko Hayamizu, Olivier Gascuel

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DOI: 10.1093/sysbio/syag078
Published: 2026-10-19
Container: Systematic Biology
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/sysbio/syag078,
  title = {Improving the resolution and informativity of the majority-rule consensus tree using fine-grained dissimilarity measures},
  author = {Yuki Takazawa and Atsushi Takeda and Momoko Hayamizu and Olivier Gascuel},
  year = {2026},
  journal = {Systematic Biology},
  doi = {10.1093/sysbio/syag078},
  url = {https://doi.org/10.1093/sysbio/syag078}
}

RIS

TY  - JOUR
TI  - Improving the resolution and informativity of the majority-rule consensus tree using fine-grained dissimilarity measures
AU  - Yuki Takazawa
AU  - Atsushi Takeda
AU  - Momoko Hayamizu
AU  - Olivier Gascuel
PY  - 2026
JO  - Systematic Biology
DO  - 10.1093/sysbio/syag078
UR  - https://doi.org/10.1093/sysbio/syag078
ER  -

APA

Takazawa, Y., Takeda, A., Hayamizu, M., & Gascuel, O. (2026). Improving the resolution and informativity of the majority-rule consensus tree using fine-grained dissimilarity measures. Systematic Biology. https://doi.org/10.1093/sysbio/syag078

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crossref · retrieved 2026-11-07T19:44:17.953Z