Adekola Owoyemi

The paper identifies 22,377 de novo genes in 21 Brassicaceae genomes, showing variation in birth/death rates and factors influencing their turnover.

The paper presents a chromosome-level genome assembly of the southern pine beetle and identifies gene content reduction and annotation biases in the Dendroctonus clade.

The paper analyzes degradation determinants in canonical and noncanonical human proteins, finding noncanonical proteins are enriched for degradation features and that C-terminal hydrophobicity correlates with degradation propensity.

This study uses machine learning to identify de novo genes in plant genomes, showing high accuracy within species and reduced false positives compared to traditional methods.