Bárbara Sousa da Mota

This paper evaluates optimal reference panels for ancient DNA imputation using coalescent theory, simulations, and a real dataset, finding that including ancient samples improves imputation accuracy for rare variants.

This study evaluates how post-mortem damage and contamination affect imputation performance in ancient DNA, finding that ATLAS improves results for highly damaged genomes and contamination above 5% reduces accuracy.

The paper introduces GLIMPSE v2.0.0, a scalable imputation method for low-coverage genomes, reducing computational costs while maintaining high accuracy for rare variants and low-coverage samples.

This study evaluates the accuracy of genotype imputation for ancient genomes and finds it comparable to modern DNA, with some population-specific biases.