Jüri Reimand's lecture: „Integrative analyses of cancer multi-omics data for functional and translational insights“

Jüri Reimand, an associate professor at the University of Toronto, will give a lecture "Integrative analyses of cancer multi-omics data for functional and translational insights" at Biomeedikum on September 13th.

Summary:

Cancer is a genetic disease that is often caused by somatic mutations and genomic rearrangements that accumulate over the patient's lifetime. Each cancer genome contains a few driver mutations that alter critical genes and unlock pathways of oncogenesis or tumor progression. In contrast, numerous passenger mutations are likely functionally neutral however these represent a footprint of the cancer's life history and exposures over time. We can learn about cancer mutations by integrating whole-genome sequencing and other omics datasets from large collections of cancer samples using statistical and machine learning methods. I will discuss our recent research on the etiology of drivers and passengers, analyses of the non-coding genome, driver interactions with the immune system and correlations with disease progression and patient prognosis.

Jüri Reimand: Principal investigator, Computational Biology Program, Ontario Institute for Cancer Research Associate professor, Department of Molecular Genetics, University of Toronto.

The lecture will take place on September 13th at Biomeedikum (Ravila 19-1006) from 10:15 AM to 12:00 PM. The lecture can also be followed on Teams.

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