Andrea Argentini
Affiliations: | Ghent University, Ghent, Vlaanderen, Belgium |
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"Andrea Argentini"
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Mehta S, Easterly CW, Sajulga R, et al. (2020) Precursor Intensity-Based Label-Free Quantification Software Tools for Proteomic and Multi-Omic Analysis within the Galaxy Platform. Proteomes. 8 |
Maia TM, Staes A, Plasman K, et al. (2020) Simple Peptide Quantification Approach for MS-Based Proteomics Quality Control. Acs Omega. 5: 6754-6762 |
Argentini A, Staes A, Grüning BA, et al. (2018) An update on the moFF Algorithm for label-free quantitative proteomics. Journal of Proteome Research |
Mehta S, Easterly C, Johnson JE, et al. (2018) Evaluation of moFF and FlashLFQ for label free peptide quantification in proteomic workflows within Galaxy-P framework. F1000research. 7 |
Argentini A, Goeminne LJ, Verheggen K, et al. (2016) moFF: a robust and automated approach to extract peptide ion intensities. Nature Methods. 13: 964-966 |
Argentini A, Goeminne LJE, Verheggen K, et al. (2016) Using moFF to Extract Peptide Ion Intensities from LC-MS experiments Protocol Exchange |
Kelchtermans P, Silva AS, Argentini A, et al. (2015) Open-Source, Platform-Independent Library and Online Scripting Environment for Accessing Thermo Scientific RAW Files. Journal of Proteome Research. 14: 4940-3 |
Goeminne LJ, Argentini A, Martens L, et al. (2015) Summarization vs Peptide-Based Models in Label-Free Quantitative Proteomics: Performance, Pitfalls, and Data Analysis Guidelines. Journal of Proteome Research. 14: 2457-65 |