Evan M. Long

The paper identifies deleterious mutations in sugar beet by combining evolutionary models and deep learning, showing a decline in genetic load over time due to breeding.

This study analyzes genomic diversity in Colombian cassava landraces to identify gene editing targets for improving climate resilience and disease resistance.

The paper uses genomic data to analyze the Juglans genus, finding black walnut as an ancient lineage with implications for conservation and climate adaptation.

reelGene evaluates gene models using machine learning and evolutionary data, finding 28% of maize gene models are incorrectly annotated or nonfunctional.

The paper investigates somatic mutation variation in walnut clones propagated through different methods, finding high mutation rates and genomic instability in somatic embryos.

The paper identifies genes under relaxed selection in cassava due to clonal propagation, highlighting pollen-related genes and their implications for breeding.

The paper investigates convergent evolution of histone reader domains fused to MSH6 across eukaryotes, showing evidence of natural selection and links to genome size and mutation rate heterogeneity.

The paper demonstrates the effectiveness of the Practical Haplotype Graph for genotype imputation in the highly heterozygous crop cassava, achieving higher accuracy than Beagle.

The paper presents two gap-free rice genomes, revealing centromere structure and gene expression insights.