Detailed information

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PERE, GELABERT., Bickle, P. F., Hofmann, D., Teschler-Nicola, M. E., Anders, A., Huang, X., Hämmerle, M., Olalde, I., Fournier, R., Ringbauer, H., Akbari, A., Cheronet, O., Lazaridis, I., Broomandkhoshbacht, N., Fernandes, D. M., Buttinger, K., Callan, K., Candilio, F., Morante, G. B., ... Reich, D. (2025). Social and genetic diversity in first farmers of central Europe. Nature Human Behaviour, 9(1), 53-64. Article 19544. https://doi.org/10.1038/s41562-024-02034-z

Huang, X., Rymbekova, A., Dolgova, O., Lao, O., & Kuhlwilm, M. (2024). Harnessing deep learning for population genetic inference. Nature Reviews. Genetics, 25(1), 61–78. https://doi.org/10.1038/s41576-023-00636-3

Pawar, H., Rymbekova, A., Cuadros-Espinoza, S., Huang, X., Manuel, M. D., Valk, T. V. D., Lobon, I., Alvarez-Estape, M., Haber, M., Dolgova, O., Han, S., Esteller-Cucala, P., Juan, D., Ayub, Q., Garcia, R. B., Kelley, J., Cornejo, O. E., Lao, O., Andrés, A. M., ... Kuhlwilm, M. (2023). Ghost admixture in eastern gorillas. Nature Ecology & Evolution, 7(9), 1503-1514. https://doi.org/10.1038/s41559-023-02145-2

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Huang, X., Kruisz, P., & Kuhlwilm, M. (2022). sstar: A Python package for detecting archaic introgression from population genetic data with S*. Molecular Biology and Evolution, 39(11), Article msac212. https://doi.org/10.1101/2022.03.10.483765, https://doi.org/10.1093/molbev/msac212