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Project
Improved data-driven bioinformatics tools to greatly extend neo- and xeno-epitope landscapes detected by immunopeptidomics.
Information
Project Team
Outputs and Outcomes
Publications
MS²Rescore 3.0 is a modular, flexible, and user-friendly platform to boost peptide identifications, as showcased with MS Amanda 3.0
Louise M. Buur
Arthur Declercq
Marina Strobl
Robbin Bouwmeester
Sven Degroeve
Lennart Martens
Viktoria Dorfer
Ralf Gabriels
A1
Journal Article
in
JOURNAL OF PROTEOME RESEARCH
2024
Ionmob : a Python package for prediction of peptide collisional cross-section values
David Teschner
David Gomez-Zepeda
Arthur Declercq
Mateusz K Łącki
Seymen Avci
Konstantin Bob
Ute Distler
Thomas Michna
Lennart Martens
Stefan Tenzer
Andreas Hildebrandt
Jonathan Wren
et al.
A1
Journal Article
in
BIOINFORMATICS
2023
Updated MS²PIP web server supports cutting-edge proteomics applications
Arthur Declercq
Robbin Bouwmeester
Cristina Chiva
Eduard Sabido
Aurelie Hirschler
Christine Carapito
Lennart Martens
Sven Degroeve
Ralf Gabriels
A1
Journal Article
in
NUCLEIC ACIDS RESEARCH
2023
Quality control for the target decoy approach for peptide identification
Elke Debrie
Milan Malfait
Ralf Gabriels
Arthur Declercq
Adriaan Sticker
Lennart Martens
Lieven Clement
A1
Journal Article
in
JOURNAL OF PROTEOME RESEARCH
2023
psm_utils : a high-level python API for parsing and handling peptide-spectrum matches and proteomics search results
Ralf Gabriels
Arthur Declercq
Robbin Bouwmeester
Sven Degroeve
Lennart Martens
A1
Journal Article
in
JOURNAL OF PROTEOME RESEARCH
2022
MS2Rescore : data-driven rescoring dramatically boosts immunopeptide identification rates
Arthur Declercq
Robbin Bouwmeester
Aurélie Hirschler
Christine Carapito
Sven Degroeve
Lennart Martens
Ralf Gabriels
A1
Journal Article
in
MOLECULAR & CELLULAR PROTEOMICS
2022