Author

Mabuse Gontse Moagi

University of DebrecenORCID 0009-0006-2580-1076Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Assay:proteomics· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Éva CsősziD· 2 shared Adzani Gaisani ArdaiD· 1 shared Endre KristófiD· 1 shared Gábor KecskemétiiD· 1 shared Gábor MéhesiD· 1 shared Lilla TuriákiD· 1 shared Lívia Beke· 1 shared Peter L. HorvatovichiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersMolecular Biology

Éva CsőszORCID

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2 papers

Recent·Most cited

Molecular BiologyProteomesPeer-reviewedJun 14, 2026

Development of a Xylene-Free Sample Preparation Protocol for Quantitative Proteomics of Clinically Relevant Formaldehyde-Fixed Paraffin-Embedded Needle Biopsy Samples

Mabuse Gontse Moagi, Lívia Beke, Gábor Méhes…·Éva Csősz

This study develops a xylene-free proteomics protocol for FFPE needle biopsy samples, showing distinct proteomic patterns in liver conditions.

DOI 10.3390/proteomes14020030

humanproteomics

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BioinformaticsJournal of Proteome ResearchPeer-reviewedApr 27, 2026

DIA-NN EasyFilter workflow for the fast and user-friendly critical assessment and visualization of DIA-NN proteomics analysis outcome

Mabuse Gontse Moagi, Thatiana Ferraz Ferreira, Endre Kristóf…·Éva Csősz

The paper introduces DIA-NN EasyFilter, a KNIME-based workflow for simplifying and visualizing DIA-NN proteomics results, enhancing usability without coding skills.

3 citationstop 5%

proteomicsexperimental assay

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