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Showing 1–7 of 7
Detecting and quantifying networks of biological kinship via exponential family random graph models
Rohrlach AB, Gnecchi-Ruscone GA, Hofmanová Z, Rácz Z, Roughan M, Haak W, Tuke J.
Genetics · doi:10.1093/genetics/iyag053 · PMC13050185
Bioarcheological Perspectives on the Timing of Adolescence in Rural Avar-Age Austria, 7th-9th Centuries ce
Klostermann P, Lewis M, Berner M, Eggers S, Tobias B, Wang K, Hofmanová Z, Pany-Kucera D.
American journal of biological anthropology · doi:10.1002/ajpa.70123 · PMC12441998
Detecting and Quantifying Networks of Biological Kinship via Exponential Family Random Graph Models
Rohrlach AB, Gnecchi-Ruscone GA, Hofmanová Z, Roughan M, Haak W, Tuke J.
Preprint (PPR1043291) · doi:10.1101/2025.06.25.661441
Ancient genomes provide evidence of demographic shift to Slavic-associated groups in Moravia
Schulz I, Zlámalová D, Reyna-Blanco CS, Morris S, Gnecchi-Ruscone GA, Eckel R, Přichystalová R, Ingrová P, Dresler P, Traverso L, Hellenthal G, Macháček J, W…
Genome biology · doi:10.1186/s13059-025-03700-9 · PMC12409924
Fine-scale sampling uncovers the complexity of migrations in 5th-6th century Pannonia
Vyas DN, Koncz I, Modi A, Mende BG, Tian Y, Francalacci P, Lari M, Vai S, Straub P, Gallina Z, Szeniczey T, Hajdu T, Radzevičiūtė R, Hofmanová Z, Évinger S,…
bioRxiv · doi:10.1101/2022.09.26.509582
Population genomic analysis of elongated skulls reveals extensive female-biased immigration in Early Medieval Bavaria
Veeramah KR, Rott A, Groß M, van Dorp L, López S, Kirsanow K, Sell C, Blöcher J, Wegmann D, Link V, Hofmanová Z, Peters J, Trautmann B, Gairhos A, Haberstroh…
Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1719880115 · PMC5879695
Ancestry and demography and descendants of Iron Age nomads of the Eurasian Steppe
Unterländer M, Palstra F, Lazaridis I, Pilipenko A, Hofmanová Z, Groß M, Sell C, Blöcher J, Kirsanow K, Rohland N, Rieger B, Kaiser E, Schier W, Pozdniakov D…
Nature communications · doi:10.1038/ncomms14615 · PMC5337992