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Researcher
Andrea Argentini
Profile
Projects
Publications & Research Data
Activities
Awards & Distinctions
Patents
8
Results
2026
Advancing DIA-based limited proteolysis workflows : introducing DIA-LiPA
Chloé Van Leene
Emin Araftpoor
An Staes
Andrea Argentini
Marcel Bühler
Lieven Clement
Kris Gevaert
A1
Journal Article
in
ANALYTICAL CHEMISTRY
2026
2020
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
Ignacio Eguinoa
Lennart Martens
Michael R. Shortreed
Lloyd M. Smith
Thomas McGowan
et al.
A2
Journal Article
in
PROTEOMES
2020
Simple peptide quantification approach for MS-based proteomics quality control
Teresa Maia
An Staes
Kim Plasman
Jarne Pauwels
Katie Boucher
Andrea Argentini
Lennart Martens
Tony Montoye
Kris Gevaert
Francis Impens
A1
Journal Article
in
ACS OMEGA
2020
2019
An update on the moFF algorithm for label-free quantitative proteomics
Andrea Argentini
An Staes
Björn Andreas Grüning
Subina Mehta
Caleb Easterly
Timothy Griffin
Pratik Jagtap
Francis Impens
Lennart Martens
A1
Journal Article
in
JOURNAL OF PROTEOME RESEARCH
2019
2016
moFF : a robust and automated approach to extract peptide ion intensities
Andrea Argentini
Ludger Goeminne
Kenneth Verheggen
Niels Hulstaert
An Staes
Lieven Clement
Lennart Martens
A1
Journal Article
in
NATURE METHODS
2016
2015
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.
P1
Conference
2015
Open-source, platform-independent library and online scripting environment for accessing thermo scientific RAW files
Pieter Kelchtermans
Ana Sílvia Ferreira Diamantino Coelho e Silva
Andrea Argentini
An Staes
Jonathan Vandenbussche
Kris Laukens
Dirk Valkenborg
Lennart Martens
A1
Journal Article
in
JOURNAL OF PROTEOME RESEARCH
2015
Summarization vs. peptide-based models in label-free quantitative proteomics : performance, pitfalls, and data analysis guidelines
Ludger Goeminne
Andrea Argentini
Lennart Martens
Lieven Clement
A1
Journal Article
in
JOURNAL OF PROTEOME RESEARCH
2015