In population genetics, the emergence of large-scale genomic data for various species and
populations has provided new opportunities to understand the evolutionary forces that drive …

Characterizing the genetic structure of large cohorts has become increasingly important as
genetic studies extend to massive, increasingly diverse biobanks. Popular methods …

Adversarial attacks can drastically change the output of a method by small alterations to its
input. While this can be a useful framework to analyze worst-case robustness, it can also be …

Motivation: Modern biobanks provide numerous high-resolution genomic sequences of
diverse populations. These datasets enable a better understanding of genotype-phenotype …

Precision medicine models often perform better for populations of European ancestry due to
the over-representation of this group in the genomic datasets and large-scale biobanks from …

A fundamental goal in population genetics is to understand how variation is arrayed over
natural landscapes. From first principles we know that common features such as …

Large-scale and increasingly diverse datasets power modern genomic studies, yet robust
data integration and homogenization across varying sources remains a challenge. The …

The availability of large genotyped cohorts brings new opportunities for revealing high-
resolution genetic structure of admixed populations, via local ancestry inference (LAI), the …

Admixture is a common phenomenon in human populations, resulting from the mating of
individuals from two or more previously isolated populations. This can lead to the formation …

The exponential growth of genomic data demands progress and research on scalable
bioinformatics algorithms. A paradigm to improve computational efficiency in bioinformatics …