- +31 20 5122004
1066 CX Amsterdam
Christiaan Klijn is a PhD student working in three groups, at both the Netherlands Cancer Institute (Jos Jonkers and Lodewyk Wessels groups) and the Delft University of Technology (Marcel Reinders group). He studied at the Delft University and the University of Leiden, earning a masters degree in Life Science & Technology. During his masters' thesis and the first few months of his PhD project he laid the foundation for the KC-SMART (Kernel Convolution: a Statistical Method for Aberrant Region deTection) method. KC-SMART is a way to determine which regions in tumor DNA are significantly more often gained or lost. Knowing which regions are frequently gained or lost might point to cancer genes, and several candidates have been identified from mouse models for cancer. His PhD project extends this effort and has as a goal to find and functionally validate cancer genes using genome-wide analyses and 'wet' laboratory techniques. KC-SMART is now available for the popular statistical analysis software R as a package in the bioconductor bioinformatics environment.
Recently his research has focussed on relational analysis of cancer DNA copy number data as well as next generation sequencing methods.
People involvedChristiaan Klijn, Lodewyk Wessels
- Identification of cancer genes using a statistical framework for multi-experiment analysis of non-discretized array CGH data