A multi-omics approach to identify deleterious mutations in plants
Omer Baruch, Avraham A. Levy, Fabrizio Mafessoni
This paper uses multi-omics data and machine learning to identify deleterious mutations in plants, showing improved performance over methods relying only on phylogenetic conservation.
bioRxiv · Aug 22, 2024 · PreprintBioinformatics