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0000-0003-4277-658X
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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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Integrating multi-omics technologies to decipher microbiome functions
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InstaNovo-P : a de novo peptide sequencing model for phosphoproteomics
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The need for standardization and improved open (meta)data practices in metaproteomics
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Harnessing genomic and bioinformatics for surveillance of pathogens in Africa : a scoping review of existing training and gaps in training
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MLMarker : a machine learning framework for tissue inference and biomarker discovery
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iDeepLC : chemical structure information yields improved retention time prediction of peptides with unseen modifications
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The Peptonizer2000 : bringing confidence to metaproteomics
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Project ODIN : advancing environmental genomic surveillance for public health across sub-Saharan Africa
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Large-scale proteomics profiling of peripheral blood of DM1 patients identifies biomarkers for disease severity and functional capacity
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Transfer learning in DeepLC improves LC retention time prediction across substantially different modifications and setups