Detailed information

Han, S. J., Riyahi, S., Huang, X., & Kuhlwilm, M. (2025). A curated dataset of great ape genome diversity. Scientific Data, 12, Article 1835. https://doi.org/10.1038/s41597-025-06124-z

Huang, X., Chen, S., Hackl, J., & Kuhlwilm, M. (2025). SAI: A Python Package for Statistics for Adaptive Introgression. Molecular Biology and Evolution, 42, Article msaf295. https://doi.org/10.1093/molbev/msaf295

Gower, G., Pope, N., Rodrigues, M., Tittes, S., Tran, L., Alam, O., Cavassim, M. I., Fields, P., Haller, B., Huang, X., Jeffrey, B., Korfmann, K., Kyriazis, C., Min, J., Rebollo, I., Rehmann, C., Small, S., Smith, C., Tsambos, G., ... Kern, A. (2025). Accessible, realistic genome simulation with selection using stdpopsim. Molecular Biology and Evolution. https://doi.org/10.1093/molbev/msaf236

Huang, X., Hackl, J. A. L., & Kuhlwilm, M. (2025). Decoding genomic landscapes of introgression. Trends in Genetics, 41, 1096–1108. Advance online publication. https://doi.org/10.1016/j.tig.2025.07.001

Hackl, J., & Huang, X. (2025). Revisiting adaptive introgression at the HLA genes in Lithuanian genomes with machine learning. Infection, Genetics and Evolution, 127, Article 105708. https://doi.org/10.1016/j.meegid.2024.105708

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

Lauterbur, M. E., Cavassim, M. I., Gladstein, A., Gower, G., Pope, N., Tsambos, G., Adrion, J., Belsare, S., Biddanda, A., Caudill, V., Cury, J., Echevarria, I., Haller, B., Hasan, A., Huang, X., Iasi, L., Noskova, E., Obsteter, J., Pavinato, V., ... Gronau, I. (2023). Expanding the stdpopsim species catalog, and lessons learned for realistic genome simulations. eLife, Article 84874. https://doi.org/10.7554/eLife.84874.3

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