Year |
Citation |
Score |
2020 |
Mehta S, Easterly CW, Sajulga R, Millikin RJ, Argentini A, Eguinoa I, Martens L, Shortreed MR, Smith LM, McGowan T, Kumar P, Johnson JE, Griffin TJ, Jagtap PD. Precursor Intensity-Based Label-Free Quantification Software Tools for Proteomic and Multi-Omic Analysis within the Galaxy Platform. Proteomes. 8. PMID 32650610 DOI: 10.3390/Proteomes8030015 |
0.626 |
|
2020 |
Maia TM, Staes A, Plasman K, Pauwels J, Boucher K, Argentini A, Martens L, Montoye T, Gevaert K, Impens F. Simple Peptide Quantification Approach for MS-Based Proteomics Quality Control. Acs Omega. 5: 6754-6762. PMID 32258910 DOI: 10.1021/acsomega.0c00080 |
0.562 |
|
2018 |
Argentini A, Staes A, Grüning BA, Mehta S, Easterly C, Griffin TJ, Jagtap P, Impens F, Martens L. An update on the moFF Algorithm for label-free quantitative proteomics. Journal of Proteome Research. PMID 30511867 DOI: 10.1021/Acs.Jproteome.8B00708 |
0.623 |
|
2018 |
Mehta S, Easterly C, Johnson JE, Gruening B, Argentini A, Millikin RJ, Shortreed MR, McGowan T, Kumar P, Martens L, Smith LM, Griffin TJ, Jagtap P. Evaluation of moFF and FlashLFQ for label free peptide quantification in proteomic workflows within Galaxy-P framework. F1000research. 7. DOI: 10.7490/F1000Research.1115792.1 |
0.577 |
|
2016 |
Argentini A, Goeminne LJ, Verheggen K, Hulstaert N, Staes A, Clement L, Martens L. moFF: a robust and automated approach to extract peptide ion intensities. Nature Methods. 13: 964-966. PMID 27898063 DOI: 10.1038/Nmeth.4075 |
0.67 |
|
2016 |
Argentini A, Goeminne LJE, Verheggen K, Hulstaert N, Staes A, Clement L, Martens L. Using moFF to Extract Peptide Ion Intensities from LC-MS experiments Protocol Exchange. DOI: 10.1038/Protex.2016.085 |
0.673 |
|
2015 |
Kelchtermans P, Silva AS, Argentini A, Staes A, Vandenbussche J, Laukens K, Valkenborg D, Martens L. Open-Source, Platform-Independent Library and Online Scripting Environment for Accessing Thermo Scientific RAW Files. Journal of Proteome Research. 14: 4940-3. PMID 26477298 DOI: 10.1021/Acs.Jproteome.5B00778 |
0.528 |
|
2015 |
Goeminne LJ, Argentini A, Martens L, Clement L. Summarization vs Peptide-Based Models in Label-Free Quantitative Proteomics: Performance, Pitfalls, and Data Analysis Guidelines. Journal of Proteome Research. 14: 2457-65. PMID 25827922 DOI: 10.1021/Pr501223T |
0.572 |
|
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