- research themes
- research groups
- Algorithms and Complexity
- Computational Imaging
- Database Architectures
- Distributed and Interactive Systems
- Formal Methods
- Information Access
- Intelligent and Autonomous Systems
- Life Sciences
- Machine Learning
- Multiscale Dynamics
- Networks and Optimization
- Scientific Computing
- Software Analysis and Transformation
- research staff
- In brief
Leader of the Life Sciences group: Gunnar Klau
The Life Sciences group at CWI is an interdisciplinary team of mathematicians, computer scientists, theoretical biologists, and bioinformaticians that performs fundamental and application-oriented research on models, theory, algorithms and simulations on topics from the Life Sciences. The aim is to understand biological data and processes as well as to provide decision support for domain experts, in particular in biology and medicine.
The group maintains strong links to partners from (neuro-)biology and medicine, including the Dutch Cancer Institute (NKI), the Academic Medical Center (AMC), and the Free University Medical Center (VUMC). The group also participates in the INRIA International team ERABLE.
A list of the core research themes in the Life Sciences group is given below. More details on these topics may be found by following the links in this list.
- M.T. Dittrich*, G.W. Klau*, A. Rosenwald, T. Dandekar and T. Müller. Identifying functional modules in protein-protein interaction networks: an integrated exact approach. In Bioinformatics 24:i223-i231, 2008. Outstanding paper award at ISMB 2008. (* shared first authors)
- A.C. Reimers, F.J. Bruggeman, B.G. Olivier, L. Stougie. Fast flux module detection using matroid theory. In Journal of Computational Biology 22, pages 414-424, 2015. doi: 10.1089/cmb.2014.0141.
- R.F.M. van Oers, E.G. Rens, D.J. LaValley, C.A. Reinhart-King, and R.M.H. Merks. Mechanical cell-matrix feedback explains pairwise and collective endothelial cell behavior in vitro. In PLoS Computational Biology, 10(8): e1003774, 2014. doi:10.1371/journal.pcbi.1003774
- M. Ashyraliyev, Y. Fomekong-Nanfack, J.A. Kaandorp, and J.G. Blom. Systems biology: parameter estimation for biochemical models. In FEBS Journal 276(4), pages 886–902, 2009.
- The Genome of the Netherlands Consortium. Whole-genome Sequence Variation, Population Structure and Demographic History of the Netherlands. In Nature Genetics, 46, pages 818–825, 2014.
- T. Alderliesten, P.A.N. Bosman and A. Bel. Getting the most out of additional guidance information in deformable image registration by leveraging multi-objective optimization. In S. Ourselin and M.A. Styner, editors, Proceedings of the SPIE Medical Imaging Conference 2015, 94131R; doi:10.1117/12.2081438, SPIE, Bellingham, WA, 2015.
The life sciences group organizes a seminar.
Vidi: Roeland Merks, Alexander Schönhuth
Samira Jaeger (PhD student/EMBO short term fellowship programme, 19 Jan 2009 - 17 Apr 2009), Nora Toussaint (PhD student/CWI internship, 1 Sep 2009 - 1 Dec 2009), Sandro Andreotti (PhD student, FU Berlin, 12 Feb 2010 - 18 Apr 2010 and July 2011 - October 2011), Xin Wang (PhD student, University of Cambridge/UK, Cancer Research UK, October 2011), Jialu Hu (PhD student, FU Berlin, December 2011), Mathilde Le Boudic-Jamin (PhD student, INRIA Rennes, June 2012), Xin Wang (PhD student, CWI internship, University of Cambridge/UK, Cancer Research UK, October 2012-December2012), Thomas Bellitto (internship, ENS Cachan, summer 2013), Thomas Hume (Université Bordeaux I, fall 2013), Corentin Hardy (internship, ENS Rennes, summer 2014), Chung-Yao Chuang (Carnegie Mellon University, summer 2015), Marcus Gallagher (The University of Queensland, September 2015)