Veit Schwämmle

Affiliations: 
University of Southern Denmark, Odense, Denmark 
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"Veit Schwämmle"
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Beltrao P, Van Den Bossche T, Gabriels R, et al. (2024) Proceedings of the EuBIC-MS developers meeting 2023. Journal of Proteomics. 105246
Uszkoreit J, Palmblad M, Schwämmle V. (2024) Tackling reproducibility: lessons for the proteomics community. Expert Review of Proteomics. 21: 9-11
Bouyssié D, Altıner P, Capella-Gutierrez S, et al. (2023) WOMBAT-P: Benchmarking Label-Free Proteomics Data Analysis Workflows. Journal of Proteome Research
Neely BA, Dorfer V, Martens L, et al. (2023) Toward an Integrated Machine Learning Model of a Proteomics Experiment. Journal of Proteome Research
Hoopmann MR, Schwämmle V, Palmblad M. (2023) 2023 Special Issue on Software Tools and Resources: Accelerating Research with New and Evolving Open Source Software. Journal of Proteome Research. 22: 285-286
Lamprecht AL, Palmblad M, Ison J, et al. (2021) Perspectives on automated composition of workflows in the life sciences. F1000research. 10: 897
Dai C, Füllgrabe A, Pfeuffer J, et al. (2021) A proteomics sample metadata representation for multiomics integration and big data analysis. Nature Communications. 12: 5854
Griss J, Schwämmle V. (2021) Analysis of Label-Based Quantitative Proteomics Data Using IsoProt. Methods in Molecular Biology (Clifton, N.J.). 2361: 61-73
Kasalica V, Schwämmle V, Palmblad M, et al. (2021) APE in the Wild: Automated Exploration of Proteomics Workflows in the bio.tools Registry. Journal of Proteome Research
Schwämmle V, Harrow J, Ienasescu H. (2021) Proteomics Software in bio.tools: Coverage and Annotations. Journal of Proteome Research. 20: 1821-1825
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