Deep learning is driving recent advances behind many everyday technologies, including
speech and image recognition, natural language processing and autonomous driving. It is …

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 …

Motivation Local ancestry inference (LAI) is the high resolution prediction of ancestry labels
along a DNA sequence. LAI is important in the study of human history and migrations, and it …

Accurate inference of the time to the most recent common ancestor (TMRCA) between pairs
of individuals and of the age of genomic variants is key in several population genetic …

As genome-wide association studies and genetic risk prediction models are extended to
globally diverse and admixed cohorts, ancestry deconvolution has become an increasingly …

We analyze dog genotypes (ie, positions of dog DNA sequences that often vary between
different dogs) in order to predict the corresponding phenotypes (ie, unique observed …

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

Admixture is a fundamental process that has shaped levels and patterns of genetic variation
in human populations. RFMIX version 2 (RFMIX2) utilizes a robust modeling approach to …

Characterizing the genetic substructure of large cohorts has become increasingly important
as genetic association and prediction studies are extended to massive, increasingly diverse …