Martin Kuhlwilm

The paper analyzes genomic diversity in great apes to identify loci under natural selection and characterizes the distribution of fitness effects across species.

This study analyzes ancient and present-day Central Eurasian genomes to assess archaic hominin introgression, finding stable levels of Neanderthal and Denisovan ancestry over time.

This study uses non-invasive fecal samples and chromosome 21 target capture sequencing to analyze bonobo population structure, identifying three subpopulations and river barriers influencing genetic differentiation.

GAISHI detects ghost introgression using machine learning algorithms and provides a user-friendly Python package for this task.

sstar2 improves S*-based introgression detection by using quantile regression for better threshold calibration and compatibility with modern simulations.

This study uses non-invasive genomic sampling to analyze genetic diversity in wild gorillas, revealing population clusters and migration patterns, and predicts geographic origins with high accuracy.

The paper curates a dataset of 332 high-coverage great ape genomes to address evolutionary and diversity questions.

SAI computes adaptive introgression statistics and applies them to three datasets, identifying candidate regions and highlighting discrepancies with prior results.

This study analyzes ancient DNA from Iron Age Saka pastoralists in Kyrgyzstan, revealing genetic patterns consistent with patrilocality and female-mediated genetic diversity.

The paper screens great ape museum specimens for DNA viruses, identifying multiple viruses and obtaining near-complete genomes, including high-coverage hepatitis B virus genomes.

This paper identifies three genetically distinct bonobo populations with inferred geographic origins and estimates split times and effective population sizes, highlighting the need for conservation attention to substructure.

The paper presents the first complete mitochondrial DNA genome of Plasmodium falciparum from a Roman-era skeleton, supporting an Indian origin for the parasite in Europe and genetic continuity over 2,000 years.

This study analyzes ancient DNA from LBK Neolithic sites to show genetic differences between eastern and western LBK populations, with evidence of patrilocality and no evidence of male-biased WHG admixture.

The paper uses primate genetic data to predict human variant pathogenicity with a deep learning classifier trained on 4.3 million common missense variants.

This study presents whole-genome data from 233 primate species, revealing patterns of genetic diversity, mutation rates, and recurrent missense mutations across primate clades.

The paper analyzes genomes of leatherback and green turtles to identify gene family expansions and demographic differences that may influence their ecological adaptations and conservation status.

sstar is a Python package that improves detection of archaic introgression in population genetic data by being robust to different demographic models.

The paper examines the genetic impact of an Ebola outbreak on a wild gorilla population, finding no change in genetic diversity but identifying six missense mutations potentially linked to survival.

The paper analyzes genetic variation in chimpanzees and bonobos to show how demographic history affects purifying selection and identifies lineage-specific functional changes linked to reproductive differences.

The paper develops a method to sequence and assemble a human Y chromosome of African origin using native DNA and nanopore sequencing, achieving high continuity and enabling epigenetic modification detection.