- Simple peptide quantification approach for MS-based proteomics quality control(2020)
Auteurs: Teresa Maia, An Staes, Kim Plasman, Katie Boucher, Andrea Argentini, Lennart Martens, Tony Montoye
Pagina's: 6754 - 6762
- Precursor intensity-based label-free quantification software tools for proteomic and multi-omic analysis within the galaxy platform(2020)
Auteurs: 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.
- An update on the moFF algorithm for label-free quantitative proteomics(2019)
Auteurs: Andrea Argentini, An Staes, Björn Andreas Grüning, Subina Mehta, Caleb Easterly, Timothy Griffin, Pratik Jagtap, Lennart Martens
Pagina's: 728 - 731
- moFF : a robust and automated approach to extract peptide ion intensities(2016)
Auteurs: Andrea Argentini, Ludger Goeminne, Kenneth Verheggen, Niels Hulstaert, An Staes, Lieven Clement, Lennart Martens
Pagina's: 962 - 965
- Discovering candidates for gene network expansion by distributed volunteer computing(2015)
Auteurs: Francesco Asnicar, Luca Erculiani, Francesca Galante, Caterina Gallo, Luca Masera, Paolo Morettin, Nadir Sella, Stanislau Semeniuta, Thomas Tolio, Giulia Malacarne, et al.
Pagina's: 248 - 253
- Summarization vs. peptide-based models in label-free quantitative proteomics : performance, pitfalls, and data analysis guidelines(2015)
Auteurs: Ludger Goeminne, Andrea Argentini, Lennart Martens, Lieven Clement
Pagina's: 2457 - 2465
- Open-source, platform-independent library and online scripting environment for accessing thermo scientific RAW files(2015)
Auteurs: Pieter Kelchtermans, Ana Sílvia Ferreira Diamantino Coelho e Silva, Andrea Argentini, An Staes, Jonathan Vandenbussche, Kris Laukens, Dirk Valkenborg, Lennart Martens
Pagina's: 4940 - 4943