Computational Cancer Genome Analysis

Computational Cancer Genome Analysis led by Eric Letouzé Ph.D., develops innovative strategies for integrative genomic data analysis in order to decipher the interaction between clinical risk factors, endogenous cellular processes and genomic alterations in liver carcinogenesis. In the last years, the lab has generated various large next-generation sequencing data sets (whole genome, whole exome, RNA sequencing and DNA methylation profiles). This exceptional resource is used to answer key questions about the natural history of liver cancers. More specifically, Eric Letouzé’s collaborators analyze the evolution of genomic, transcriptional, and micro-environment features along tumor development and treatment. They also aim to identify new inherited genetic variants predisposing to liver tumors and develop clinico-molecular predictive models that could be tested in clinical practice.

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