Eugenia Voytik

diaPASEF: parallel accumulation–serial fragmentation combined with data-independent acquisition

Florian Meier, Andreas‐David Brunner, Max Frank et al. · Nature Methods · 2020 · 882 citations · Full text

Engineering, Parallel Accumulation–serial Fragmentation, Data Deduplication +3

Plasma Proteome Profiling to detect and avoid sample‐related biases in biomarker studies

Philipp E. Geyer, Eugenia Voytik, Peter V. Treit et al. · EMBO Molecular Medicine · 2019 · 341 citations · Full text

Rapid and In-Depth Coverage of the (Phospho-)Proteome With Deep Libraries and Optimal Window Design for dia-PASEF

Patricia Skowronek, Marvin Thielert, Eugenia Voytik et al. · Molecular & Cellular Proteomics · 2022 · 238 citations · Full text

In-depth Coverage, Deep Libraries, Biochemistry +12

AlphaPeptDeep: a modular deep learning framework to predict peptide properties for proteomics

Wen‐Feng Zeng, Xie‐Xuan Zhou, Sander Willems et al. · Nature Communications · 2022 · 183 citations · Full text

Deep learning the collisional cross sections of the peptide universe from a million experimental values

Florian Meier, Niklas Köhler, Andreas‐David Brunner et al. · Nature Communications · 2021 · 144 citations · Full text