| Proteome-wide structural changes measured with limited proteolysis-mass spectrometry: an advanced protocol for high-throughput applications L Malinovska, V Cappelletti, D Kohler, I Piazza, TH Tsai, M Pepelnjak, ... Nature protocols 18 (3), 659-682, 2023 | 51 | 2023 |
| MSstats Version 4.0: statistical analyses of quantitative mass spectrometry-based proteomic experiments with chromatography-based quantification at scale D Kohler, M Staniak, TH Tsai, T Huang, N Shulman, OM Bernhardt, ... Journal of Proteome Research 22 (5), 1466-1482, 2023 | 41 | 2023 |
| MSstatsPTM: statistical relative quantification of posttranslational modifications in bottom-up mass spectrometry-based proteomics D Kohler, TH Tsai, E Verschueren, T Huang, T Hinkle, L Phu, M Choi, ... Molecular & Cellular Proteomics 22 (1), 2023 | 17 | 2023 |
| MSstatsShiny: a GUI for versatile, scalable, and reproducible statistical analyses of quantitative proteomic experiments D Kohler, M Kaza, C Pasi, T Huang, M Staniak, D Mohandas, E Sabido, ... Journal of Proteome Research 22 (2), 551-556, 2023 | 8 | 2023 |
| An MSstats workflow for detecting differentially abundant proteins in large-scale data-independent acquisition mass spectrometry experiments with FragPipe processing D Kohler, M Staniak, F Yu, AI Nesvizhskii, O Vitek Nature Protocols, 1-24, 2024 | 1 | 2024 |
| Proteome-wide structural changes measured with limited proteolysis-mass spectrometry: an advanced protocol for high-throughput applications (Dec, 10.1038/s41596-022-00771-x, 2022) L Malinovska, V Cappelletti, D Kohler, I Piazza, TH Tsai, M Pepelnjak, ... NATURE PROTOCOLS 18 (6), 1979-1979, 2023 | | 2023 |
| Author Correction: Proteome-wide structural changes measured with limited proteolysis-mass spectrometry: an advanced protocol for high-throughput applications L Malinovska, V Cappelletti, D Kohler, I Piazza, TH Tsai, M Pepelnjak, ... Nature Protocols 18 (6), 1979-1979, 2023 | | 2023 |
| Second community evaluation of glycoproteomic informatics solutions NM Riley, KE Mahoney, N Chung, V Chang, V Rangel-Angarita, L Kim, ... | | |
| Explorations of causal probabilistic programming approaches for rule-based models of biological signaling pathways D Kohler, J Zucker, V Tewari, K Sachs, R Ness, O Vitek | | |
