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Computational Cancer Genomics

As opposed to traditional “wet” labs, much of the biological and medical research today is done computationally in what we call “dry” labs. Such research is enabled by large amount of clinical and molecular data collected around the world by the scientific community. Our lab addresses emerging challenges in computational cancer genomics that require the development and application of innovative computational methods and tools for cancer data analysis. We work closely with clinicians and experimentalists in Israel and around the world to turn data into knowledge and advance cancer treatment and prevention.

Research on Yizhak-lab

immune

Response to checkpoint blockade therapy in melanoma and lung cancer patients

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sc_mut

Genotype-phenotype relations in cancer at the single-cell level

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somatic_clonality_v4

Somatic clonality in normal tissues and its relation to tumor development

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Join our lab!

  • We are looking for highly motivated MSc\PhD students and postdocs interested in doing exciting computational research in the field of cancer genomics and immunotherapy
  • B.Sc students interested in experiencing computational cancer research are welcome to apply