A critical evaluation of deep-learning based phylogenetic inference programs using simulated datasets

Yixiao Zhu; Yonglin Li; Chuhao Li; Xing-Xing Shen; Xiaofan Zhou

doi:10.1016/j.jgg.2025.01.006

Volume 52 Issue 5

May 2025

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Article Navigation > Journal of Genetics and Genomics > 2025 > 52(5): 714-717

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A critical evaluation of deep-learning based phylogenetic inference programs using simulated datasets

doi: 10.1016/j.jgg.2025.01.006

1. College of Agriculture and Biotechnology and Centre for Evolutionary & Organismal Biology, Zhejiang University, Hangzhou, Zhejiang 310058, China;
2. Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou, Guangdong 510642, China;
3. College of Agriculture and Biotechnology and Centre for Evolutionary & Organismal Biology, Zhejiang University, Hangzhou, Zhejiang 310058, China;
4. Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou, Guangdong 510642, China

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We thank the members of the Shen lab for constructive feedback. We also thank the editor and reviewers for their constructive suggestions to improve our manuscript. X.X.S. was supported by the National Key R&D Program of China (2022YFD1401600) and the National Science Foundation for Distinguished Young Scholars of Zhejiang Province, China (LR23C140001). X.Z. was supported by the Key Area Research and Development Program of Guangdong Province, China (2018B020205003 and 2020B0202090001).

Received Date: 2024-11-02
Accepted Date: 2025-01-09
Rev Recd Date: 2025-01-08

Available Online: 2025-07-11

Publish Date: 2025-01-15

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References(18)

References

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