Voytik E - Search Results

1

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

Meier F, Köhler ND, Brunner AD, Wanka JH, Voytik E, Strauss MT, Theis FJ, Mann M. Meier F, et al. Among authors: voytik e. Nat Commun. 2021 Feb 19;12(1):1185. doi: 10.1038/s41467-021-21352-8. Nat Commun. 2021. PMID: 33608539 Free PMC article.

2

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

Meier F, Brunner AD, Frank M, Ha A, Bludau I, Voytik E, Kaspar-Schoenefeld S, Lubeck M, Raether O, Bache N, Aebersold R, Collins BC, Röst HL, Mann M. Meier F, et al. Among authors: voytik e. Nat Methods. 2020 Dec;17(12):1229-1236. doi: 10.1038/s41592-020-00998-0. Epub 2020 Nov 30. Nat Methods. 2020. PMID: 33257825

3

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

Skowronek P, Thielert M, Voytik E, Tanzer MC, Hansen FM, Willems S, Karayel O, Brunner AD, Meier F, Mann M. Skowronek P, et al. Among authors: voytik e. Mol Cell Proteomics. 2022 Sep;21(9):100279. doi: 10.1016/j.mcpro.2022.100279. Epub 2022 Aug 6. Mol Cell Proteomics. 2022. PMID: 35944843 Free PMC article.

4

AlphaTims: Indexing Trapped Ion Mobility Spectrometry-TOF Data for Fast and Easy Accession and Visualization.

Willems S, Voytik E, Skowronek P, Strauss MT, Mann M. Willems S, et al. Among authors: voytik e. Mol Cell Proteomics. 2021;20:100149. doi: 10.1016/j.mcpro.2021.100149. Epub 2021 Sep 17. Mol Cell Proteomics. 2021. PMID: 34543758 Free PMC article.

5

AlphaMap: an open-source Python package for the visual annotation of proteomics data with sequence-specific knowledge.

Voytik E, Bludau I, Willems S, Hansen FM, Brunner AD, Strauss MT, Mann M. Voytik E, et al. Bioinformatics. 2022 Jan 12;38(3):849-852. doi: 10.1093/bioinformatics/btab674. Bioinformatics. 2022. PMID: 34586352 Free PMC article.

6

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

Geyer PE, Voytik E, Treit PV, Doll S, Kleinhempel A, Niu L, Müller JB, Buchholtz ML, Bader JM, Teupser D, Holdt LM, Mann M. Geyer PE, et al. Among authors: voytik e. EMBO Mol Med. 2019 Nov 7;11(11):e10427. doi: 10.15252/emmm.201910427. Epub 2019 Sep 30. EMBO Mol Med. 2019. PMID: 31566909 Free PMC article.

7

A practical guide to interpreting and generating bottom-up proteomics data visualizations.

Schessner JP, Voytik E, Bludau I. Schessner JP, et al. Among authors: voytik e. Proteomics. 2022 Apr;22(8):e2100103. doi: 10.1002/pmic.202100103. Epub 2022 Feb 15. Proteomics. 2022. PMID: 35107884 Review.

8

AlphaPept: a modern and open framework for MS-based proteomics.

Strauss MT, Bludau I, Zeng WF, Voytik E, Ammar C, Schessner JP, Ilango R, Gill M, Meier F, Willems S, Mann M. Strauss MT, et al. Among authors: voytik e. Nat Commun. 2024 Mar 9;15(1):2168. doi: 10.1038/s41467-024-46485-4. Nat Commun. 2024. PMID: 38461149 Free PMC article.

9

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

Zeng WF, Zhou XX, Willems S, Ammar C, Wahle M, Bludau I, Voytik E, Strauss MT, Mann M. Zeng WF, et al. Among authors: voytik e. Nat Commun. 2022 Nov 24;13(1):7238. doi: 10.1038/s41467-022-34904-3. Nat Commun. 2022. PMID: 36433986 Free PMC article.

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