Timothy H. Webster

This paper uses genetic data to show that two distinct superarchaic populations contributed to modern human ancestry, with one contributing ~20% to African populations and the other to Eurasian archaics.

The paper uses sequence-based machine learning to predict 3D genome contact maps in bonobos and chimpanzees, identifying divergent folding patterns and variants affecting genome structure.

The paper estimates the evolutionary history of bonobos and chimpanzees using whole genome sequences, finding introgression events and male-biased reproduction.

This study identifies candidate genes under selection in cebid primates, revealing evolutionary pressures on brain development and other traits across their evolutionary history.

The paper introduces a high-throughput method for imaging and analyzing scalp hair morphology and validates a Python package for processing and measuring hair images.

The paper examines how mutation, recombination, selection, and demography shape genetic variation across different regions of the human X chromosome using data from 26 populations.

This study identifies soft sweeps as the dominant mode of recent positive selection in bonobos and chimpanzees using supervised machine learning on population genomic data.

This study evaluates DNA quality from urine and other sources in wild chimpanzees, finding urine provides higher DNA quantity and quality for genomic analysis.

This paper identifies and corrects technical biases on sex chromosomes in sequencing data using a new tool called XYalign.

This study evaluates exome capture in lemurs using human baits, finding high success with Nimblegen probes but lower success with IDT probes.