Maximilian Strauss

Maximilian Strauss

Assistant Professor


Publication year:
  1. 2024
  2. Published

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

    Strauss, Maximilian, Bludau, I., Zeng, W., Voytik, E., Ammar, C., Schessner, J. P., Ilango, R., Gill, M., Meier, F., Willems, S. & Mann, Matthias, 9 Mar 2024, In: Nature Communications. 15, 1, p. 2168

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    Artificial intelligence in mass spectrometry-based proteomics

    Zeng, W. F., Mann, Matthias & Strauss, Maximilian, 2024, Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and Clinics. Elsevier, p. 389-394 6 p.

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  4. 2023
  5. Published

    AlphaPeptStats: an open-source Python package for automated and scalable statistical analysis of mass spectrometry-based proteomics

    Krismer, Elena, Bludau, I., Strauss, Maximilian & Mann, Matthias, 2023, In: Bioinformatics. 39, 8, 4 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. Published

    Democratizing knowledge representation with BioCypher

    Lobentanzer, S., Aloy, P., Baumbach, J., Bohar, B., Carey, V. J., Charoentong, P., Danhauser, K., Doğan, T., Dreo, J., Dunham, I., Farr, E., Fernandez-Torras, A., Gyori, B. M., Hartung, M., Hoyt, C. T., Klein, C., Korcsmaros, T., Maier, A., Mann, M., Ochoa, D. & 12 others, Pareja-Lorente, E., Popp, F., Preusse, M., Probul, N., Schwikowski, B., Sen, B., Strauss, Maximilian, Turei, D., Ulusoy, E., Waltemath, D., Wodke, J. A. H. & Saez-Rodriguez, J., 2023, In: Nature Biotechnology. 41, p. 1056-1059

    Research output: Contribution to journalLetterResearchpeer-review

  7. Published

    Spatial single-cell mass spectrometry defines zonation of the hepatocyte proteome

    Rosenberger, F. A., Thielert, Marvin Christoffer, Strauss, Maximilian, Schweizer, L., Ammar, C., Mädler, S. C., Metousis, A., Skowronek, P., Wahle, M., Madden, K., Gote-Schniering, J., Semenova, A., Schiller, H. B., Rodriguez, E., Nordmann, T. M., Mund, Andreas & Mann, Matthias, 2023, In: Nature Methods. 20, 10, p. 1530-1536 7 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Published

    The social and structural architecture of the yeast protein interactome

    Michaelis, A. C., Brunner, A., Zwiebel, M., Meier, F., Strauss, Maximilian, Bludau, I. & Mann, Matthias, 2023, In: Nature. 624, 7990, p. 192-200 9 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  9. Published

    Transparent Exploration of Machine Learning for Biomarker Discovery from Proteomics and Omics Data

    Torun, F. M., Virreira Winter, S., Doll, S., Riese, F. M., Vorobyev, A., Mueller-Reif, J. B., Geyer, P. E. & Strauss, Maximilian, 2023, In: Journal of Proteome Research. 22, 2, p. 359-367

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. 2022
  11. Published

    A knowledge graph to interpret clinical proteomics data

    Santos, A., Colaço, A. R., Nielsen, Annelaura Bach, Niu, Lili, Strauss, Maximilian, Geyer, P. E., Coscia, F., Albrechtsen, Nicolai Jacob Wewer, Mundt, F., Jensen, Lars Juhl & Mann, Matthias, 2022, In: Nature Biotechnology. 40, p. 692–702

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. Published

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

    Voytik, E., Bludau, I., Willems, S., Hansen, F. M., Brunner, A., Strauss, Maximilian & Mann, Matthias, 2022, In: Bioinformatics. 38, 3, p. 849-852

    Research output: Contribution to journalJournal articleResearchpeer-review

  13. Published

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

    Zeng, W. F., Zhou, X. X., Willems, S., Ammar, C., Wahle, M., Bludau, I., Voytik, E., Strauss, Maximilian & Mann, Matthias, 2022, In: Nature Communications. 13, 14 p., 7238.

    Research output: Contribution to journalJournal articleResearchpeer-review

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