Adam B. Rohrlach

The paper uses Exponential Family Random Graph Models to detect and quantify biological kinship networks in ancient human populations.

BREADR estimates genetic relatedness from low-coverage genotype data using Bayesian methods and returns posterior probabilities for different degrees of relatedness.

This study analyzes the genetic profiles of Bronze Age metallurgical individuals to explore genetic heterogeneity and the spread of Siberian ancestry across Northern Eurasia.

The paper shows that admixture in modern European genomes has masked over 50 historic hard sweeps, suggesting underappreciation of historical selection in human evolution.

PyDamage automatically identifies and estimates DNA damage in ancient DNA contigs to distinguish ancient from modern contamination in metagenomic datasets.

This study introduces a Y-chromosome capture assay (YMCA) to improve NRY coverage and haplogroup resolution, revealing new evidence for a two-path Neolithic expansion to Western Europe.

This study evaluates DNA preservation in ten skeletal elements from Medieval Germany, confirming the petrous pyramid as the best source and identifying seven alternative locations for aDNA extraction.

This paper uses bioinformatics methods to analyze CBSV genetic diversity, identifying three clades and key genomic regions influencing divergence, to inform disease management strategies.

The paper introduces a method to quantify demographic structure in single-copy sequence alignments by analyzing relationships between individuals and genomic positions, and demonstrates its application with empirical data.

This study evaluates the performance of PSMC and PSMC' on short genomic scaffolds and finds that psmc remains accurate down to 100 kb while msmc is only reliable for scaffolds over 1 Mb.