T. C. Smith

This paper introduces a new method, D*, to detect introgression in a three-population tree with improved precision and recall over existing methods.

The paper introduces enhanced features in selscan v3.0 for analyzing selection signals using EHH statistics and demonstrates their application on simulated and real genomic data.

EGGS generates empirical genotype data with missing values by replicating genotype distributions across segments, offering tools for data manipulation and format conversion.

The paper introduces a dynamic programming algorithm that improves the speed and memory efficiency of EHH-based selection scans for large-scale genomic datasets.

The paper introduces LODESTAR, a method to analyze local genetic relatedness patterns using Procrustes Analysis, to identify selection regions and inverted segments.