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Updated: Mar 27, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
Published on: August 14, 2018
Machine learning for evolutionary genetics and molecular evolution
Nicolas Svetec1, UnJin Lee1, Li Zhao1
1Laboratory of Evolutionary Genetics and Genomics, The Rockefeller University, New York, NY 10065, USA.
Abstract:
Over the past decade, the rapid expansion of large-scale data and advances in computational power have allowed machine learning (ML), especially deep learning, to reshape many areas of biological research. Evolutionary genetics and molecular evolution are also poised for a similar transformation. In this review, we discuss key advances and ongoing challenges in applying ML to the study of genetics and evolution, and we highlight the potential of artificial intelligence to connect genotype, phenotype, and evolutionary history.
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