Research output per year
Research output per year
Personal profile
Research areas
Project: Computational modeling of multivalent histone modifications and their role in gene regulation
Statistical data analysis
Research areas
- Proteomics
- Bioinformatics
- Monte Carlo simulation
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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2023 Special Issue on Software Tools and Resources: Accelerating Research with New and Evolving Open Source Software
Hoopmann, M. R., Schwämmle, V. & Palmblad, M., 3. Feb 2023, In: Journal of proteome research. 22, 2, p. 285-286Research output: Contribution to journal › Editorial › peer-review
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Toward an Integrated Machine Learning Model of a Proteomics Experiment
Neely, B. A., Dorfer, V., Martens, L., Bludau, I., Bouwmeester, R., Degroeve, S., Deutsch, E. W., Gessulat, S., Käll, L., Palczynski, P., Payne, S. H., Rehfeldt, T. G., Schmidt, T., Schwämmle, V., Uszkoreit, J., Vizcaíno, J. A., Wilhelm, M. & Palmblad, M., 6. Feb 2023, In: Journal of proteome research. 22, 3, p. 681–696Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile24 Downloads (Pure) -
Distinct and diverse chromatin proteomes of ageing mouse organs reveal protein signatures that correlate with physiological functions
Oliviero, G., Kovalchuk, S., Rogowska-Wrzesinska, A., Schwämmle, V. & Jensen, O. N., 8. Mar 2022, In: eLife. 11Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile16 Downloads (Pure) -
Exploration of protein posttranslational modification landscape and cross talk with CrossTalkMapper
Grimaud, A., Haugaard Holck, F., Buur, L. M., Kirsch, R. & Schwämmle, V., 2022, Computational methods for predicting post-translational modification sites. K. C., D. B. (ed.). New York: Humana Press, Vol. 2499. p. 261-273 (Methods in Molecular Biology, Vol. 2499).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research
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MS2AI: Automated repurposing of public peptide LC-MS data for machine learning applications
Rehfeldt, T. G., Krawczyk, K., Bøgebjerg, M., Schwämmle, V. & Röttger, R., 1. Feb 2022, In: Bioinformatics. 38, 3, p. 875–877Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile24 Downloads (Pure)
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Workshop om SDC Omics master program
Finn Kirpekar (Participant), Peter Roepstorff (Participant), Adelina Rogowska-Wrzesinska (Participant) & Veit Schwämmle (Participant)
5. Feb 2019 → 6. Feb 2019Activity: Other activities › Other
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Computational proteomics
Veit Schwämmle (Lecturer)
15. Apr 2015Activity: Talks and presentations › Talks and presentations in private or public companies
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Statistics of Large Data Sets
Veit Schwämmle (Lecturer)
2. Nov 2012Activity: Talks and presentations › Talks and presentations in private or public companies
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Statistics
Veit Schwämmle (Lecturer)
6. Jun 2012Activity: Talks and presentations › Talks and presentations in private or public companies
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Bioinformatics / Statistics
Veit Schwämmle (Lecturer)
25. Apr 2012Activity: Talks and presentations › Talks and presentations in private or public companies
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Villum Fonden - Teknisk og naturvidenskabelig forskning - Artificial Intelligence to revolutionize Protein Mass Spectrometry
01/11/2019 → 31/10/2021
Project: Private Foundations
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Fuhrmann Fonden - A fully reproducible and user-friendly workflow for the analysis of PTM-omics data
01/11/2018 → 31/12/2019
Project: Research
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Uddannelses- og Forskningsministeriet – FNU - Computatinal modeling of multivalent histone modifications and their role in gene regulation.
01/01/2009 → 31/12/2010
Project: Research