Publications of Eugenia Voytik

Journal Article (7)

1.
Journal Article
Zeng, W.-F.; Zhou, X.-X.; Willems, S.; Ammar, C.; Wahle, M.; Bludau, I.; Voytik, E.; Strauss, M. T.; Mann, M.: AlphaPeptDeep: a modular deep learning framework to predict peptide properties for proteomics. Nature Communications 13 (1), 7238 (2022)
2.
Journal Article
Skowronek, P.; Thielert, M.; Voytik, E.; Tanzer, M. C.; Hansen, F. M.; Willems, S.; Karayel, O.; Brunner, A.-D.; Meier, F.; Mann, M.: Rapid and In-Depth Coverage of the (Phospho-) Proteome With Deep Libraries and Optimal Window Design for dia-PASEF. Molecular and Cellular Proteomics 21 (9), 100279 (2022)
3.
Journal Article
Schessner, J. P.; Voytik, E.; Bludau, I.: A practical guide to interpreting and generating bottom-up proteomics data visualizations. Proteomics, e2100103 (2022)
4.
Journal Article
Voytik, E.; Bludau, I.; Willems, S.; Hansen, F. M.; Brunner, A.-D.; Strauss, M. T.; Mann, M.: AlphaMap: an open-source Python package for the visual annotation of proteomics data with sequence-specific knowledge. Bioinformatics 38 (3), pp. 849 - 852 (2022)
5.
Journal Article
Meier, F.; Koehler, N. D.; Brunner, A.-D.; Wanka, J.-M. H.; Voytik, E.; Strauss, M. T.; Theis, F. J.; Mann, M.: Deep learning the collisional cross sections of the peptide universe from a million experimental values. Nature Communications 12 (1), 1185 (2021)
6.
Journal Article
Meier, F.; Brunner, A.-D.; Frank, M.; Ha, A.; Bludau, I.; Voytik, E.; Kaspar-Schoenefeld, S.; Lubeck, M.; Raether, O.; Bache, N. et al.; Aebersold, R.; Collins, B.C.; Röst, H.L.; Mann, M.: diaPASEF: parallel accumulation–serial fragmentation combined with data-independent acquisition. Nature Methods 17 (12), pp. 1229 - 1236 (2020)
7.
Journal Article
Geyer, P. E.; Voytik, E.; Treit, P. V.; Doll, S.; Kleinhempel, A.; Niu, L.; Müller, J. B.; Buchholtz, M.-L.; Bader, J. M.; Teupser, D. et al.; Holdt, L. M.; Mann, M.: Plasma Proteome Profiling to detect and avoid sample-related biases in biomarker studies. EMBO MOLECULAR MEDICINE 11 (11), e10427 (2019)

Meeting Abstract (2)

8.
Meeting Abstract
Meier, F.; Brunner, A.-D.; Frank, M.; Ha, A.; Voytik, E.; Kaspar-Schoenefeld, S.; Lubeck, M.; Raether, O.; Aebersold, R.; Collins, B. C. et al.; Roest, H. L.; Mann, M.: Parallel accumulation - serial fragmentation combined with data-independent acquisition (diaPASEF). In MOLECULAR & CELLULAR PROTEOMICS, 18 (8), p. S17 - S17. AMER SOC BIOCHEMISTRY MOLECULAR BIOLOGY INC, 11200 ROCKVILLE PIKE, SUITE 302, ROCKVILLE, MD, UNITED STATES (2019)
9.
Meeting Abstract
Skotte, N. H.; Geyer, P. E.; Steger, M.; Treit, P. V.; Voytik, E.; Hellem, M. N.; Nielsen, J. E.; Mann, M.: Quality control for plasma and cerebrospinal fluid samples using mass spectrometry. In Journal of Neurology, Neurosurgery & Psychiatry, 89, pp. A31 - A32. Plenary Meeting of the European-Huntington's-Disease-Network (EHDN), Vienna, AUSTRIA. British Medical Association, London (2018)

Thesis - PhD (1)

10.
Thesis - PhD
Voytik, E.: Visualization and exploration of next-generation proteomics data. Dissertation, Ludwig-Maximilians-Universität München, Fakultät für Chemie und Pharmazie, München (2022)

Thesis - Master (1)

11.
Thesis - Master
Voytik, E.: A machine learning system for quality assurance in plasma proteome profiling. Master, LMU, München (2018)
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