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    Computational Methods to Quantify Lethal Cancer Evolution

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    Computational Methods to Quantify Lethal Cancer Evolution

    YouTube·Computational Biology

    Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore computational methods for quantifying lethal cancer evolution in this 44-minute conference talk by Paul Boutros at the Computational Genomics Summer Institute (CGSI) 2022. Delve into cutting-edge research on somatic driver mutations, evolutionary history of cancers, and the impact of hypoxia on tumor development. Gain insights into genome-wide germline correlates of prostate cancer epigenetics and the molecular landmarks of tumor hypoxia across various cancer types. Discover how computational approaches are advancing our understanding of cancer progression and potentially informing new treatment strategies.

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