Selected publications
Müller, J., Bayer, F. P., Wilhelm, M., Schuh, M. G., Kuster, B., & The, M. (2025). PTMNavigator: interactive visualization of differentially regulated post-translational modifications in cellular signaling pathways. Nature Communications,
Bayer, F. P., Gander, M., Kuster, B., & The, M. (2023). CurveCurator: a recalibrated F-statistic to assess, classify, and explore significance of dose–response curves. Nature Communications,
Zecha, J., Bayer, F. P., Wiechmann, S., Woortman, J., Berner, N., Müller, J., … & The, M., Wilhelm, M., Kuster, B. (2023). Decrypting drug actions and protein modifications by dose-and time-resolved proteomics. Science,
The, M., Samaras, P., Kuster, B., & Wilhelm, M. (2022). Re-analysis of ProteomicsDB using an accurate, sensitive and scalable false discovery rate estimation approach for protein groups. Molecular & Cellular Proteomics,
Hamood, F., Bayer, F. P., Wilhelm, M., Kuster, B., & The, M. (2022). SIMSI-Transfer: Software-assisted reduction of missing values in phosphoproteomic and proteomic isobaric labeling data using tandem mass spectrum clustering. Molecular & Cellular Proteomics,
Lautenbacher, L., Samaras, P., Muller, J., Grafberger, A., Shraideh, M., Rank, J., Fuchs, S. T., Schmidt, T. K., The, M., Dallago, C., Wittges, H., Rost, B., Krcmar, H., Kuster, B., & Wilhelm, M. (2021). ProteomicsDB: toward a FAIR open-source resource for life-science research. Nucleic Acids Research,
The, M., Käll, L. (2020). Focus on the spectra that matter by clustering of quantification data in shotgun proteomics. Nature Communications,
The, M., Käll, L. (2019). Integrated identification and quantification error probabilities for shotgun proteomics. Molecular & Cellular Proteomics,
The, M., Tasnim, A., & Käll, L. (2016). How to talk about protein‐level false discovery rates in shotgun proteomics. Proteomics,
The, M., MacCoss, M.J., Noble, W.S., Käll, L. (2016). Fast and accurate protein false discovery rates on large-scale proteomics data sets with percolator 3.0. J. Am. Soc. Mass Spectrom.,
The, M., Käll, L. (2016). MaRaCluster: A Fragment Rarity Metric for Clustering Fragment Spectra in Shotgun Proteomics. J. Proteome Res.,
