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- 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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Bioinformatics Pipeline for Processing Single-Cell Data
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- Journal Article
- A1
- open access
Brain exposure to SARS-CoV-2 virions perturbs synaptic homeostasis
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Biodiversity analysis of metaproteomics samples with Unipept : a comprehensive tutorial
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- Miscellaneous
- open access
PathwayPilot: A User-Friendly Tool for Visualizing and Navigating Metabolic Pathways
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Benefit of in silico predicted spectral libraries in data-independent acquisition data analysis workflows
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- Journal Article
- A1
- open access
Thunder-DDA-PASEF enables high-coverage immunopeptidomics and is boosted by MS2Rescore with MS2PIP timsTOF fragmentation prediction model
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- Journal Article
- A1
- open access
MS²Rescore 3.0 is a modular, flexible, and user-friendly platform to boost peptide identifications, as showcased with MS Amanda 3.0
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- Journal Article
- A1
- open access
msqrob2PTM : differential abundance and differential usage analysis of MS-based proteomics data at the post-translational modification and peptidoform level
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O15 Large-scale proteomics profiling of peripheral blood of DM1 patients identifies biomarkers for disease severity and physical activity
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- Journal Article
- A1
- open access
PepGM : a probabilistic graphical model for taxonomic inference of viral proteome samples with associated confidence scores