Computational Approaches to Study Interactions Between Mutagenic Processes and Cellular Processes

Published on ● Video Link: https://www.youtube.com/watch?v=rTOjkz2lorw



Duration: 38:46
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Teresa Przytycka (National Center for Biotechnology Information)
https://simons.berkeley.edu/talks/tbd-449
From Algorithms to Discovery in Genome-Scale Biology and Medicine

Cancer genomes accumulate many somatic mutations resulting from imperfection of DNA processing during normal cell cycle as well as from carcinogenic exposures or cancer related aberrations of DNA maintenance machinery. These processes often lead to distinctive patterns of mutations, called mutational signatures. Considering these signatures as quantitative traits, we can leverage them for studies of the interactions between mutagenic processes, other cellular processes, and environment. Untangling these interactions is critical for understanding the processes underlying mutational signatures and their impact on the organism. I will discuss several computational approaches including a method for the deconvolution of the contributions of DNA damage and repair to the mutational landscape of cancer.




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Tags:
Simons Institute
theoretical computer science
UC Berkeley
Computer Science
Theory of Computation
Theory of Computing
From Algorithms to Discovery in Genome-Scale Biology and Medicine
Teresa Przytycka