Tibor Kalmár

This paper develops an imputation-based method for predicting eye, hair, and skin colors from low coverage ancient DNA, showing it works effectively even with very low genome coverage.

This paper introduces a method to reliably infer relatedness up to the 4-5th degree from low coverage ancient human genomes by addressing biases in kinship analysis.

This study analyzes whole-genome data from ancient populations to trace the genetic origins of Huns, Avars, and conquering Hungarians, identifying their immigrant cores and genetic links.

The paper analyzes maternal lineages from 10-11th century commoner cemeteries in the Carpathian Basin, finding they differ from elites and show admixture with eastern immigrant groups.

This study uses long-read sequencing to analyze the complex transcriptome of vaccinia virus and its impact on host gene expression, revealing extensive transcript isoforms and gene interactions.

This study profiles the dynamic lytic transcriptome of BoHV-1 using long-read sequencing and assesses its impact on the host cell transcriptome, revealing complex transcriptional overlaps and upregulated antiviral and viral genes.

The paper analyzes Y-chromosome haplogroups and autosomal loci from 49 individuals of Hun, Avar, and conquering Hungarian groups to explore their genetic origins and admixture.

This study compares whole exome sequencing to array-based and whole genome sequencing in population genetic analysis, finding exome sequencing offers a better alternative to array-based methods.

The paper analyzes mitogenomic data from Hungarian Conquerors to show their genetic origin includes admixture from Asian Huns and Pontic-Caspian steppe cultures.

MITOMIX uses a new distance metric to analyze admixture in populations, showing modern Hungarians have mostly European ancestry with minor contributions from conquerors.

The paper resequences mtDNA genomes of ancient Hungarian conquerors using NGS to correct inaccuracies in previously determined haplotypes from PCR-based methods.