Ghent University Academic Bibliography

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Your filters: cql: author="Argentini, Andrea" or (type any "bookEditor issueEditor" and editor="Argentini, Andrea")

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Simple peptide quantification approach for MS-based proteomics quality control

Teresa Maia (UGent) , An Staes (UGent) , Kim Plasman (UGent) , Jarne Pauwels (UGent) , Katie Boucher (UGent) , Andrea Argentini (UGent) , Lennart Martens (UGent) , Tony Montoye, Kris Gevaert (UGent) and Francis Impens (UGent)

(2020) ACS OMEGA. 5(12). p.6754-6762
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Precursor intensity-based label-free quantification software tools for proteomic and multi-omic analysis within the galaxy platform

Subina Mehta, Caleb W. Easterly, Ray Sajulga, Robert J. Millikin, Andrea Argentini (UGent) , Ignacio Eguinoa (UGent) , Lennart Martens (UGent) , Michael R. Shortreed, Lloyd M. Smith, Thomas McGowan, et al.

(2020) PROTEOMES. 8(3).
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An update on the moFF algorithm for label-free quantitative proteomics

Andrea Argentini (UGent) , An Staes (UGent) , Björn Andreas Grüning, Subina Mehta, Caleb Easterly, Timothy Griffin, Pratik Jagtap, Francis Impens (UGent) and Lennart Martens (UGent)

(2019) JOURNAL OF PROTEOME RESEARCH. 18(2). p.728-731
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moFF : a robust and automated approach to extract peptide ion intensities

Andrea Argentini (UGent) , Ludger Goeminne, Kenneth Verheggen (UGent) , Niels Hulstaert (UGent) , An Staes (UGent) , Lieven Clement (UGent) and Lennart Martens (UGent)

(2016) NATURE METHODS. 13(12). p.962-965
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Summarization vs. peptide-based models in label-free quantitative proteomics : performance, pitfalls, and data analysis guidelines

Ludger Goeminne, Andrea Argentini (UGent) , Lennart Martens (UGent) and Lieven Clement (UGent)

(2015) JOURNAL OF PROTEOME RESEARCH. 14(6). p.2457-2465
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Open-source, platform-independent library and online scripting environment for accessing thermo scientific RAW files

Pieter Kelchtermans (UGent) , Ana Sílvia Ferreira Diamantino Coelho e Silva, Andrea Argentini (UGent) , An Staes (UGent) , Jonathan Vandenbussche (UGent) , Kris Laukens, Dirk Valkenborg and Lennart Martens (UGent)

(2015) JOURNAL OF PROTEOME RESEARCH. 14(11). p.4940-4943
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Discovering candidates for gene network expansion by distributed volunteer computing

Francesco Asnicar, Luca Erculiani, Francesca Galante, Caterina Gallo, Luca Masera, Paolo Morettin, Nadir Sella, Stanislau Semeniuta, Thomas Tolio, Giulia Malacarne, et al.

(2015) 2015 IEEE Trustcom/BigDataSE/ISPA, vol. 3. p.248-253

Academic Bibliography

Simple peptide quantification approach for MS-based proteomics quality control

Precursor intensity-based label-free quantification software tools for proteomic and multi-omic analysis within the galaxy platform

An update on the moFF algorithm for label-free quantitative proteomics

moFF : a robust and automated approach to extract peptide ion intensities

Summarization vs. peptide-based models in label-free quantitative proteomics : performance, pitfalls, and data analysis guidelines

Open-source, platform-independent library and online scripting environment for accessing thermo scientific RAW files

Discovering candidates for gene network expansion by distributed volunteer computing

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