J. A. Robinson

The paper quantifies mutation spectrum variation across mammalian species and finds that genetic divergence, not life history traits, best explains mutation spectrum divergence.

This paper advocates for using computational simulations to better quantify genetic load and predict extinction risk in small wildlife populations by addressing limitations in current genomic approaches.

The paper combines field observations and genomic data from baboons to study admixture and gene regulatory divergence, finding selection against introgression similar to archaic hominins.

The paper analyzes genomic data from Isle Royale wolves to assess the effects of inbreeding and finds that homozygosity of deleterious mutations, not heterozygosity or variant count, correlates with inbreeding depression.