Search Results - Voytik, Eugenia

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  1. 1
    Deep learning the collisional cross sections of the peptide universe from a million experimental values

    Deep learning the collisional cross sections of the peptide universe from a million experimental values by Meier, Florian, Köhler, Niklas D., Brunner, Andreas-David, Wanka, Jean-Marc H., Voytik, Eugenia, Strauss, Maximilian T., Theis, Fabian J., Mann, Matthias

    Published in Nature communications
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  2. 2
    AlphaPeptDeep: a modular deep learning framework to predict peptide properties for proteomics

    AlphaPeptDeep: a modular deep learning framework to predict peptide properties for proteomics by Zeng, Wen-Feng, Zhou, Xie-Xuan, Willems, Sander, Ammar, Constantin, Wahle, Maria, Bludau, Isabell, Voytik, Eugenia, Strauss, Maximillian T., Mann, Matthias

    Published in Nature communications
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  3. 3
    Plasma Proteome Profiling to detect and avoid sample‐related biases in biomarker studies

    Plasma Proteome Profiling to detect and avoid sample‐related biases in biomarker studies by Geyer, Philipp E, Voytik, Eugenia, Treit, Peter V, Doll, Sophia, Kleinhempel, Alisa, Niu, Lili, Müller, Johannes B, Buchholtz, Marie‐Luise, Bader, Jakob M, Teupser, Daniel, Holdt, Lesca M, Mann, Matthias

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  4. 4
    AlphaPept: a modern and open framework for MS-based proteomics

    AlphaPept: a modern and open framework for MS-based proteomics by Strauss, Maximilian T., Bludau, Isabell, Zeng, Wen-Feng, Voytik, Eugenia, Ammar, Constantin, Schessner, Julia P., Ilango, Rajesh, Gill, Michelle, Meier, Florian, Willems, Sander, Mann, Matthias

    Published in Nature communications
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  5. 5
    A practical guide to interpreting and generating bottom‐up proteomics data visualizations

    A practical guide to interpreting and generating bottom‐up proteomics data visualizations by Schessner, Julia Patricia, Voytik, Eugenia, Bludau, Isabell

    Published in Proteomics (Weinheim)
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  6. 6
    Rapid and In-Depth Coverage of the (Phospho-)Proteome With Deep Libraries and Optimal Window Design for dia-PASEF

    Rapid and In-Depth Coverage of the (Phospho-)Proteome With Deep Libraries and Optimal Window Design for dia-PASEF by Skowronek, Patricia, Thielert, Marvin, Voytik, Eugenia, Tanzer, Maria C., Hansen, Fynn M., Willems, Sander, Karayel, Özge, Brunner, Andreas-David, Meier, Florian, Mann, Matthias

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  7. 7
    AlphaMap: an open-source Python package for the visual annotation of proteomics data with sequence-specific knowledge

    AlphaMap: an open-source Python package for the visual annotation of proteomics data with sequence-specific knowledge by Voytik, Eugenia, Bludau, Isabell, Willems, Sander, Hansen, Fynn M, Brunner, Andreas-David, Strauss, Maximilian T, Mann, Matthias

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  8. 8
    AlphaTims: Indexing Trapped Ion Mobility Spectrometry–TOF Data for Fast and Easy Accession and Visualization

    AlphaTims: Indexing Trapped Ion Mobility Spectrometry–TOF Data for Fast and Easy Accession and Visualization by Willems, Sander, Voytik, Eugenia, Skowronek, Patricia, Strauss, Maximilian T., Mann, Matthias

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  9. 9
    AlphaMap: An open-source Python package for the visual annotation of proteomics data with sequence specific knowledge

    AlphaMap: An open-source Python package for the visual annotation of proteomics data with sequence specific knowledge by Voytik, Eugenia, Bludau, Isabell, Willems, Sander, Hansen, Fynn, Andreas-David Brunner, Strauss, Maximilian T, Mann, Matthias

    Published in bioRxiv
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  10. 10
    Rapid and in-depth coverage of the (phospho-)proteome with deep libraries and optimal window design for dia-PASEF

    Rapid and in-depth coverage of the (phospho-)proteome with deep libraries and optimal window design for dia-PASEF by Skowronek, Patricia, Thielert, Marvin, Voytik, Eugenia, Tanzer, Maria C, Hansen, Fynn M, Willems, Sander, Karayel, Ozge, Andreas-David Brunner, Meier, Florian, Mann, Matthias

    Published in bioRxiv
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