Team Member
Iro Pierides, MSc
Ghatak, A., Pierides, I., Singh, R. K., Srivastava, R. K., Varshney, R. K., Prasad, M., Chaturvedi, P., & Weckwerth, W. (2024). Millets for a sustainable future. Journal of Experimental Botany. Advance online publication. https://doi.org/10.1093/jxb/erae507
Chaturvedi, P., Pierides, I., López-Hidalgo, C., Garg, V., Zhang, S., Barmukh, R., Bellaire, A., Li, J., Bachmann, G., Valledor, L., Varshney, R. K., Ghatak, A., & Weckwerth, W. (2024). Natural variation in the chickpea metabolome under drought stress. Plant Biotechnology Journal, 22(12), 3278-3294. https://doi.org/10.1111/pbi.14447
Li, J., Brenner, M., Pierides, I., Wessner, B., Franzke, B., Strasser, E.-M., Waldherr, S., Wagner, K.-H., & Weckwerth, W. (2024). Machine learning and data-driven inverse modeling of metabolomics unveil key process of active aging. bioRxiv : the preprint server for biology https://doi.org/10.1101/2024.08.27.609825
Chaturvedi, P., Pierides, I., Zhang, S., Schwarzerová, J., Ghatak, A., & Weckwerth, W. (2024). Multiomics for Crop Improvement. In M. K. Pandey, A. Bentley, H. Desmae, M. Roorkiwal, & R. K. Varshney (Eds.), Frontier Technologies for Crop Improvement: Sustainability Sciences in Asia and Africa(). (pp. 107). Springer Singapore. https://doi.org/10.1007/978-981-99-4673-0_6
Kitashova, A., Brodsky, V., Chaturvedi, P., Pierides, I., Ghatak, A., Weckwerth, W., & Nägele, T. (2023). Quantifying the impact of dynamic plant-environment interactions on metabolic regulation. Journal of Plant Physiology, 290, Article 154116. https://doi.org/10.1016/j.jplph.2023.154116
Weiszmann, J., Walther, D., Clauw, P., Back, G., Gunis, J., Reichardt, I., Koemeda, S., Jez, J., Nordborg, M., Schwarzerova, J., Pierides, I., Nägele, T., & Weckwerth, W. (2023). Metabolome plasticity in 241 Arabidopsis thaliana accessions reveals evolutionary cold adaptation processes. Plant Physiology, 193(2), 980-1000. https://doi.org/10.1093/plphys/kiad298
Schwarzerová, J., Kostoval, A., Bajger, A., Jakubikova, L., Pierides, I., Popelinsky, L., Sedlar, K., & Weckwerth, W. (2022). A Revealed Imperfection in Concept Drift Correction in Metabolomics Modeling. In Information Technology in Biomedicine: ITIB 2022. Advances in Intelligent Systems and Computing (pp. 498-509). Springer. https://doi.org/10.1007/978-3-031-09135-3_42
Schwarzerová, J., Pierides, I., Sedlar, K., & Weckwerth, W. (2022). Linear Predictive Modeling for Immune Metabolites Related to Other Metabolites. In I. Rojas, O. Valenzuela, F. Rojas, L. J. Herrera, & F. Ortuño (Eds.), Bioinformatics and Biomedical Engineering - 9th International Work-Conference, IWBBIO 2022, Proceedings (pp. 16-27). Springer International Publishing AG . https://doi.org/10.1007/978-3-031-07704-3_2
Schwarzerova, J., Bajger, A., Pierides, I., Popelinsky, L., Sedlar, K., & Weckwerth, W. (2021). An Innovative Perspective on Metabolomics Data Analysis in Biomedical Research Using Concept Drift Detection. In 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 3075-3082) https://doi.org/10.1109/BIBM52615.2021.9669418
Functional and Evolutionary Ecology
Djerassiplatz 1 (UBB)
1030 Wien
Room: 3.051