Marco Milanesi

This study links geography and mutation profiles in goat species, finding strong correlations between specific mutations and geographic coordinates.

This paper uses genotype imputation to analyze low coverage ancient goat genomes, revealing demographic patterns and genetic consequences of domestication.

The paper develops a tailored variant filtering method for multi-breed and multi-species SNP datasets to reduce bias from standard approaches.

The study identifies miRNA polymorphisms in goats, finding low variation in seed regions due to purifying selection and higher variation in regulatory regions of isolated populations.

BITE, an R package, wraps SNP quality control, Kolmogorov-Smirnov-checked representative subsampling, color-consistent ancestry plots, and bootstrap-supported TreeMix gene-flow trees for biodiversity genomics.