Ghent University Academic Bibliography

Journal Article
A1
open access

The omics-driven machine learning path to cost-effective precision medicine in chronic kidney disease

M Lopes, R Coletti, f Duranton, Griet Glorieux (UGent) , MA Jaimes Campos, Julie Klein, M Ley, P Perco, A Sampri and A Tur-Sinai

(2025) PROTEOMICS. 25(11-12).

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Miscellaneous

Multi-disciplinary and omics-driven approaches to advance personalized medicine in cardiovascular and chronic kidney disease

Griet Glorieux (UGent) , Julie Klein and Agnieszka Latosinska

(2025) PROTEOMICS. 25(11-12).

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Journal Article
A1
open access

TermineR : extracting information on endogenous proteolytic processing from shotgun proteomics data

Miguel Cosenza‐Contreras, Adrianna Seredynska, Daniel Vogele, Niko Pinter, Eva Brombacher, Ruth Fiestas Cueto, Thien‐Ly Julia Dinh, Patrick Bernhard, Manuel Rogg, Junwei Liu, et al.

(2024) PROTEOMICS. 24(19).

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Journal Article
A1
open access

Intensity and retention time prediction improves the rescoring of protein‐nucleic acid cross‐links

Arslan Siraj, Robbin Bouwmeester (UGent) , Arthur Declercq (UGent) , Luisa Welp, Aleksandar Chernev, Alexander Wulf, Henning Urlaub, Lennart Martens (UGent) , Sven Degroeve (UGent) , Oliver Kohlbacher, et al.

(2024) PROTEOMICS. 24(8).

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Pannexin-1 channel regulates nuclear content packaging into apoptotic bodies and their size

Thanh Kha Phan, Pamali Fonseka, Rochelle Tixeira (UGent) , Mohashin Pathan, Ching-Seng Ang, Dilara Ceyda Ozkocak, Suresh Mathivanan and Ivan Ka Ho Poon

(2021) PROTEOMICS. 21(13-14).

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The age of data-driven proteomics : how machine learning enables novel workflows

Robbin Bouwmeester (UGent) , Ralf Gabriels (UGent) , Tim Van Den Bossche (UGent) , Lennart Martens (UGent) and Sven Degroeve (UGent)

(2020) PROTEOMICS. 20(21-22).

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Journal Article
A1
open access

Removing the hidden data dependency of DIA with predicted spectral libraries

Bart Van Puyvelde (UGent) , Sander Willems, Ralf Gabriels (UGent) , Simon Daled (UGent) , Laura De Clerck (UGent) , Sofie Vande Casteele (UGent) , An Staes (UGent) , Francis Impens (UGent) , Dieter Deforce (UGent) , Lennart Martens (UGent) , et al.

(2020) PROTEOMICS. 20(3-4).

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Targeted proteomics for studying pathogenic bacteria

Sara Saleh, An Staes (UGent) , Stijn Deborggraeve and Kris Gevaert (UGent)

(2019) PROTEOMICS. 19(16).

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High‐quality biobanks : pivotal assets for reproducibility of OMICS‐data in biomedical translational research

Laurent Dollé and Sofie Bekaert (UGent)

(2019) PROTEOMICS. 19(21-22).

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Comprehensive peptide analysis of mouse brain striatum identifies novel sORF-encoded polypeptides

Harshavardhan Budamgunta, Volodimir Olexiouk (UGent) , Walter Luyten, Karin Schildermans, Evelyne Maes, Kurt Boonen, Gerben Menschaert (UGent) and Geert Baggerman

(2018) PROTEOMICS. 18(10).

Academic Bibliography

The omics-driven machine learning path to cost-effective precision medicine in chronic kidney disease

Multi-disciplinary and omics-driven approaches to advance personalized medicine in cardiovascular and chronic kidney disease

TermineR : extracting information on endogenous proteolytic processing from shotgun proteomics data

Intensity and retention time prediction improves the rescoring of protein‐nucleic acid cross‐links

Pannexin-1 channel regulates nuclear content packaging into apoptotic bodies and their size

The age of data-driven proteomics : how machine learning enables novel workflows

Removing the hidden data dependency of DIA with predicted spectral libraries

Targeted proteomics for studying pathogenic bacteria

High‐quality biobanks : pivotal assets for reproducibility of OMICS‐data in biomedical translational research

Comprehensive peptide analysis of mouse brain striatum identifies novel sORF-encoded polypeptides

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