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Academic Staff

Assistant Professor Yosi Maruvka

Assistant Professor

The Cancer Evolution Lab

We are developing new tools to analyze cancer evolution and are applying our findings in a clinical setting.

Recent technological developments in generating biological data, such as next-generation DNA/RNA sequencing, has led to an exponential growth of biological data. This is particularly true of cancer data, as DNA sequencing is a routine procedure at many medical centers. The main bottleneck for research is therefore not in data generation but rather in interpreting this wealth of data. In our lab, we develop new algorithms and computational tools for analyzing cancer data, and apply them to the abundance of newly available data, with the goal of generating new biological insights and medical diagnostic tools.
While our interest spans all aspects of cancer bioinformatics, our current main focus is on the genomics of tumors that develop due to a deficiency in one of the DNA repair pathways

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