Genome-scale data and the development of novel statistical phylogenetic approaches have
greatly aided the reconstruction of a broad sketch of the tree of life and resolved many of its …

Quantum computing holds substantial potential for applications in biology and medicine,
spanning from the simulation of biomolecules to machine learning methods for subtyping …

Population genetics is transitioning into a data-driven discipline thanks to the availability of
large-scale genomic data and the need to study increasingly complex evolutionary …

Genomic data hold increasing potential in the elucidation of transmission dynamics and
geographical sources of infectious disease outbreaks. Phylogeographic methods that use …

We are launching a series to celebrate the 40th anniversary of the first issue of Molecular
Biology and Evolution. In 2024, we will publish virtual issues containing selected papers …

Structural information of phylogenetic tree topologies plays an important role in phylogenetic
inference. However, finding appropriate topological structures for specific phylogenetic …

Abstract Machine learning has increasingly been applied to a wide range of questions in
phylogenetic inference. Supervised machine learning approaches that rely on simulated …

Statistical criteria have long been the standard for selecting the best model for phylogenetic
reconstruction and downstream statistical inference. Although model selection is regarded …

A phylogenetic tree can reflect the evolutionary relationships between species or gene
families, and they play a critical role in modern biological research. In this review, we …

Following the hugely successful application of deep learning methods to protein structure
prediction, an increasing number of design methods seek to leverage generative models to …