The Delft Bioinformatics Lab

de Jong J, de Ridder J, van der Weyden L, Sun N, van Uitert MJ, Berns A, et al. Computational identification of insertional mutagenesis targets for cancer gene discovery. Nucleic Acids Res. 2011;39(15):e105.

Kool J, Uren AG, Martins CP, Sie D, de Ridder J, Turner G, et al. Insertional mutagenesis in mice deficient for p15Ink4b, p16Ink4a, p21Cip1, and p27Kip1 reveals cancer gene interactions and correlations with tumor phenotypes. Cancer Res. 2010;70(2):520-31.

van Uitert MJ, Meuleman W, Wessels LF. Biclustering sparse binary genomic data. Journal of Computational Biology. 2008;15:1329-45.

Uren AG, Kool J, Matentzoglu K, de Ridder J, Mattison J, van Uitert MJ, et al. Large-Scale Mutagenesis in p19ARF- and p53-Deficient Mice Identifies Cancer Genes and Their Collaborative Networks. Cell. 2008;133:727-41.

Sun N. Mapping Retroviral Insertions to Genes using Biological Rules and Gene Expression Analysis. Vol Master. Delft: Delft University of Technology; 2007.

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