Computational Phylogenomics Lab @ ANU

Enable evolutionary research in the genomic era

Our mission

We develop and apply bioinformatic methods, models, and algorithms for phylogenetic inference from genomic data, with a recent focus on machine learning.
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News

Seyed Ali Tabatabaee joins our group as a research visitor
Minh awarded Highly Cited Researcher 2024
Nhan Ly-Trong submitted his PhD thesis
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Software

Our flagship software IQ-TREE, the Eureka prize winner, has been used to investigate everything from the origin of Life on Earth to the virus causing COVID-19 pandemic.
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Join us

Our lab is growing! Current members are listed here
→See how to join us here


Selected publications

  1. IQ-TREE 3: Phylogenomic Inference Software using Complex Evolutionary Models
    T.K.F. Wong, N. Ly-Trong, H. Ren, H. Baños, A. Roger, E. Susko, C. Bielow, N. De Maio, N. Goldman, M.W. Hahn, G. Huttley, R. Lanfear, B.Q. Minh
    ecoevorxiv (2025)

  2. MixtureFinder: Estimating DNA mixture models for phylogenetic analyses
    H. Ren, T.K.F. Wong, B.Q. Minh, R. Lanfear
    Molecular Biology and Evolution 42:msae264 (2025)

  3. CMAPLE: Efficient phylogenetic inference in the pandemic era
    N. Ly-Trong, C. Bielow, N. De Maio, B.Q. Minh
    Molecular Biology and Evolution 41:msae134 (2024)

  4. MAST: Phylogenetic Inference with Mixtures Across Sites and Trees
    T.K.F. Wong, C. Cherryh, A.G. Rodrigo, M.W. Hahn, B.Q. Minh, R. Lanfear
    Systematic Biology 73:375–391 (2024)

  5. AliSim-HPC: Parallel sequence simulator for phylogenetics
    N. Ly-Trong, G.M.J. Barca, B.Q. Minh
    Bioinformatics 39:btad540 (2023)

→All publications

© 2019-2023 Minh Bui Lab on Computational Phylogenomics @ School of Computing, Australian National University