Isin Altinkaya

ngsAMOVA provides a probabilistic framework for analyzing molecular variance and divergence with low-depth sequencing data, improving accuracy over genotype calling methods.

vcfgl simulates genotype likelihoods to study uncertainties and biases in genetic data, aiding in benchmarking GL-based methods.

The paper uses ancient DNA and strontium isotope analyses to show a deep east-west divergence in steppe ancestry in Southern Europe, supporting specific linguistic divergence models for Indo-European languages.

This paper uses ancient genomes to trace the spread of Germanic languages in Europe, identifying a Baltic origin and migration patterns that challenge traditional timelines.

HMMploidy infers ploidy levels from short-read sequencing data, outperforming existing methods at low-depth with large sample sizes and revealing aneuploidy in Cryptococcus neoformans.