PyLAE

PyLAE estimates local ancestry along genomes from whole-genome sequencing or high-density genotyping data to characterize ancestral contributions in admixed populations.

Key Features:

• Local ancestry estimation: Estimates local ancestry along genomes using whole-genome sequencing (WGS) or high-density genotyping data.
• Multiple ancestral populations: Handles an arbitrary number of ancestral populations to accommodate complex admixture scenarios.
• Informative priors support: Supports analyses both with and without informative priors.
• Parameter efficiency and throughput: Operates without requiring estimation of numerous parameters, enabling high-throughput analysis (thousands of genomes per day reported).

Scientific Applications:

• Admixed population analysis: Infers segmental ancestry in admixed populations to resolve local ancestral contributions.
• Genetic architecture studies: Provides local ancestry information to aid dissection of genetic contributions to phenotypic traits and disease susceptibilities.
• Large-scale genomic studies: Enables population-scale analyses by supporting high-throughput local ancestry estimation from WGS or genotyping data.

Methodology:

Performs local ancestry inference from WGS or high-density genotyping data, supporting arbitrary numbers of ancestral populations and optional informative priors while avoiding estimation of numerous parameters.