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Results: 409
Number of items: 409
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Medina-van Berkum, P., Albracht, C., Bröcher, M., Solbach, M. D., Stein, G., Bonkowski, M., Buscot, F., Heintz-Buschart, A., Ebeling, A., Eisenhauer, N., El-Madany, T. S., Huang, Y., Kuebler, K., Meyer, S. T., Gershenzon, J., & Unsicker, S. B. (2026). Plant diversity influences plant volatile emission with varying effects at the species and community levels. Proceedings of the National Academy of Sciences, 123(3), Article e2518326123. https://doi.org/10.1073/pnas.2518326123 -
van der Ploeg, G. R., White, F. T. G., Jakobsen, R. R., Westerhuis, J. A., Heintz-Buschart, A., & Smilde, A. K. (2026). ACMTF-R: Supervised multi-omics data integration uncovering shared and distinct outcome-associated variation. PLoS ONE, 21(1), Article e0339650. https://doi.org/10.1371/journal.pone.0339650 -
Rigerte, L., Sommer, A., Vlot, A. C., Prada-Salcedo, L. D., Reitz, T., Heintz-Buschart, A., & Tarkka, M. T. (2026). Synthetic rhizosphere bacterial communities induce systemic resistance to barley powdery mildew without major shifts in the native bacterial community. Frontiers in Microbiology, 17, Article 1818676. https://doi.org/10.3389/fmicb.2026.1818676 -
Smilde, A. K., Marini, F., Westerhuis, J. A., & Liland, K. H. (2025). Analysis of Variance for High-Dimensional Data: Applications in Life, Food, and Chemical Sciences. Wiley. https://doi.org/10.1002/9781394211241
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Villette, R., Ortís Sunyer, J., Novikova, P. V., Aho, V. T. E., Petrov, V. A., Hickl, O., Busi, S. B., De Rudder, C., Kunath, B. J., Heintz-Buschart, A., Trezzi, J.-P., Halder, R., Jäger, C., Lebrun, L. A., Daujeumont, A., Schade, S., Janzen, A., Jehmlich, N., von Bergen, M., … Wilmes, P. (2025). Additional file 7 of Integrated multi-omics highlights alterations of gut microbiome functions in prodromal and idiopathic Parkinson’s disease [Data set]. Figshare. https://doi.org/10.6084/m9.figshare.30292144
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Li, L., Hoefsloot, H., Bakker, B. M., Horner, D., Rasmussen, M. A., Smilde, A. K., & Acar, E. (2025). Longitudinal Metabolomics Data Analysis Informed by Mechanistic Models. Metabolites, 15(1), Article 2. https://doi.org/10.3390/metabo15010002 -
Avagyan, V., Boer, M. P., Solin, J., van Dijk, A. D. J., Bustos-Korts, D., van Rossum, B. J., Ramakers, J. J. C., van Eeuwijk, F., & Kruijer, W. (2025). Penalized factorial regression as a flexible and computationally attractive reaction norm model for prediction in the presence of GxE. Theoretical and Applied Genetics, 138(4), Article 88. https://doi.org/10.1007/s00122-025-04865-4 -
Villette, R., Ortís Sunyer, J., Novikova, P. V., Aho, V. T. E., Petrov, V. A., Hickl, O., Busi, S. B., De Rudder, C., Kunath, B. J., Heintz-Buschart, A., Trezzi, J.-P., Halder, R., Jäger, C., Lebrun, L. A., Daujeumont, A., Schade, S., Janzen, A., Jehmlich, N., von Bergen, M., ... Wilmes, P. (2025). Integrated multi-omics highlights alterations of gut microbiome functions in prodromal and idiopathic Parkinson's disease. Microbiome, 13, Article 200. https://doi.org/10.1186/s40168-025-02227-2 -
Noordijk, B., Reinders, M., van Dijk, A. D. J., & de Ridder, D. (2025). BADDADAN: Mechanistic modelling of time-series gene module expression. Quantitative Plant Biology, 6, Article e31. https://doi.org/10.1017/qpb.2025.10017
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