- Work address
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Albert Baertsoenkaai 3
9000 Gent - Lennart.Martens@UGent.be
- ORCID iD
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https://orcid.org/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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Analysis of invasion dynamics of matrix-embedded cells in a multisample format
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The mutational landscape of MYCN, Lin28b and ALKF1174L driven murine neuroblastoma mimics human disease
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The online Tabloid Proteome : an annotated database of protein associations
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High-throughput metaproteomics data analysis with Unipept : a tutorial
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A community proposal to integrate proteomics activities in ELIXIR
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An accessible proteogenomics informatics resource for cancer researchers
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MPA Portable : a stand-alone software package for analyzing metaproteome samples on the go
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Mass spectrometrists should search for all peptides, but assess only the ones they care about
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Methods to calculate spectrum similarity
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Computational quality control tools for mass spectrometry proteomics