Lodewyk Wessels is the head of the Computational Cancer Biology group at the Netherlands Cancer Institute in Amsterdam, The Netherlands. Dr Wessels received his M.Sc. and Ph.D. both from the Department of Electronic and Computer Engineering, University of Pretoria, South Africa. From 1993 to 1997 he was a member of the Center for Spoken Language Understanding at the Oregon Graduate School of Science and Technology, initially as graduate student and later as post-doctoral fellow. In 1997 he joined the Faculty of Electrical Engineering, Mathematics and Computer Science at the Delft University of Technology and was appointed assistant professor in 2002. In 2006 he became a faculty member at the Netherlands Cancer Institute in Amsterdam, The Netherlands. He was appointed chair of Computational Cancer Biology at the Technical University in Delft in April 2012 and heads the Cancer Systems Biology Center at the Netherlands Cancer Institute.
Important contributions to computational cancer biology include the development of novel algorithms for the identification of 1) driver genes in insertional mutagenesis screens (CIMPL, de Ridder et al. 2006); 2) driver genes from copy number profiles (ADMIRE (van Dyk et al, 2013) and RUBIC (van Dykl et al 2016)); interactions between aberrations in tumors (DISCOVER, Canisius et al 2016) and the identification of logic combinations of aberrations that explain drug response (LOBICO, Knijnenburg et al 2016). The Wessels group also collaborated with experimental groups on several landmark papers including 1) the mapping of the genetic landscape of mouse models of lymphomagenesis (Uren et al 2008); mapping chromatin position effects (Akhtar et al 2013) and charting the landscape of pahamacogenomic interactions in cancer (Iorio et al 2016).
- 2010: Cancer Systems Biology Center, NWO
- Akhtar, W., de Jong, J., Pindyurin, A. V., Pagie, L., Meuleman, W., de Ridder, J., ... & van Steensel, B. (2013). Chromatin position effects assayed by thousands of reporters integrated in parallel. Cell, 154(4), 914-927.
- de Jong, J., Akhtar, W., Badhai, J., Rust, A. G., Rad, R., Hilkens, J., ... & de Ridder, J. (2014). Chromatin landscapes of retroviral and transposon integration profiles. PLoS genetics, 10(4), e1004250.
- Farazi, T. A., ten Hoeve, J. J., Brown, M., Mihailovic, A., Horlings, H. M., van de Vijver, M. J., ... & Wessels, L. F. (2014). Identification of distinct miRNA target regulation between breast cancer molecular subtypes using AGO2-PAR-CLIP and patient datasets. Genome biology, 15(1), R9.
- Iorio, F., Knijnenburg, T. A., Vis, D. J., Bignell, G. R., Menden, M. P., Schubert, M., ... & Cokelaer, T. (2016). A landscape of pharmacogenomic interactions in cancer. Cell, 166(3), 740-754.
- Van Dyk, E., Hoogstraat, M., Ten Hoeve, J., Reinders, M. J., & Wessels, L. F. (2016). RUBIC identifies driver genes by detecting recurrent DNA copy number breaks. Nature communications, 7, 12159.