- Work address
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Technologiepark-Zwijnaarde 75, FSVMII
9052 Zwijnaarde - Lennart.Martens@UGent.be
- ORCID iD
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0000-0003-4277-658X
- Bio (via ORCID)
- Dr. Lennart Martens is Professor of Systems Biology at Ghent University, and Group Leader of the Computational Omics and Systems Biology (CompOmics) group at VIB, both in Ghent, Belgium. He has been working in proteomics bioinformatics since his Master’s degree, which focused on the computational interpretation of peptide mass spectra. He then worked as a software developer and framework architect for a software company for a few years, before returning to Ghent University to pursue a Ph.D. focused on proteomics and proteomics informatics. During this time, he worked on the development of high-throughput peptide centric proteomics techniques and on bioinformatics tools to support these new approaches. In 2003 he started the PRIDE proteomics database at the EBI as a Marie Curie fellow of the European Commission. After obtaining his Ph.D. in Sciences: Biotechnology from Ghent University, he rejoined the PRIDE group at EBI, which he coordinated for several years before moving back to Ghent University to take up his current position. Prof. Martens served as the chair of the ABRF iPRG in 2011, sits on the Boards of DELSA (http://www.delsaglobal.org), the Royal Flemish Society for Chemistry – Proteomics, and the Belgian Proteomics Association. He serves as Academic Editor for PLoS ONE, IEEE Journal of Biomedical and Health Informatics and Open Proteomics, and holds Editorial Board positions at PROTEOMICS, BBA Proteins and Proteomics and Molecular BioSystems. An author on more than 130 peer-reviewed papers in the field, he has also co-written two popular Wiley textbooks: Computational Methods for Mass Spectrometry Proteomics (ISBN: 978-0-470-51297-5), and Computational and Statistical Methods for Protein Quantification by Mass Spectrometry (ISBN: 978-1-119-96400-1).
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- Miscellaneous
- open access
Cov2MS: an automated matrix-independent assay for mass spectrometric detection and measurement of SARS-CoV-2 nucleocapsid protein in infectious patients
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- Miscellaneous
- open access
A comprehensive LFQ benchmark dataset on modern day acquisition strategies in proteomics
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- Journal Article
- A1
- open access
Orthogonal proteomics methods to unravel the HOTAIR interactome
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Unipept visualizations : an interactive visualization library for biological data
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- Conference Paper
- C3
- open access
MS²DIP : highly accurate MS2 spectrum prediction for modified peptides & MS²Rescore : data-driven rescoring dramatically boosts immunopeptide identification rates
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- Miscellaneous
- open access
Sensitive and specific spectral library searching with COSS and Percolator
(2021) -
- Miscellaneous
- open access
MS²Rescore: Data-driven rescoring dramatically boosts immunopeptide identification rates
(2021) -
- Miscellaneous
- open access
ionbot: a novel, innovative and sensitive machine learning approach to LC-MS/MS peptide identification
(2021) -
- Journal Article
- A1
- open access
Critical Assessment of MetaProteome Investigation (CAMPI) : a multi-laboratory comparison of established workflows
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- Miscellaneous
- open access
Pout2Prot : an efficient tool to create protein (sub)groups from Percolator output files