Kristiina Ausmees

The paper analyzes ancestry, admixture, and pathogens in Neolithic farmers and foragers from Gotland, finding recent gene flow and widespread Yersinia pestis strains.

This paper introduces an imputation method for ancient DNA that improves accuracy at lower coverages compared to existing tools.

This study evaluates genotype imputation for ancient DNA using Beagle 4.0 and 1000 Genomes reference data, showing high accuracy even at low coverage and highlighting the benefits of diverse reference sets and low-coverage samples.

The paper proposes a deep learning model for dimensionality reduction of genotype data, showing improved population clustering and visualization compared to PCA, t-SNE, and UMAP.

This study evaluates imputation methods for ancient DNA data using Beagle 4.0 and 1000 Genomes reference data, showing high accuracy at low coverage and benefits of phased references and low-coverage samples.