Cancer Computational Biology

The aim is the development of new computational algorithms, analysis methods, artificial intelligence and visualization tools that interrogate and integrate big genomic and clinical data sets for better understanding of cancer development. Implementing these innovations into the clinic to improve patient treatment and their well-being is the ultimate goal.

To process and integrate data and identify novel genomic and proteomics mutations, we develop new software algorithms. Tools such as iFUSE, FLAIMapper, FuMa and Dr Disco support our research on gene fusions and noncoding RNA. Artificial intelligence on nanobody databases are developed in collaboration with TU-Delft to identify unique nanobodies against cancer.

People working on the project