Using AlphaGenome to infer mutational processes in cancer genomes

Using AlphaGenome to infer mutational processes in cancer genomes
Project ID: 2526Med1001
Research Mentor: Professor Jason Wong
Contact Person: Professor Jason Wong

Abstract:

Background and Purpose:

The human genome contains all the genetic and epigentic information for guiding how our bodies function. Small changes, or mutations, in DNA can affect health and sometimes lead to diseases like cancer. AlphaGenome is an advanced AI tool developed by DeepMind that can read very long stretches of DNA and predict how different parts of the genome behave in specific cell types. This project will leverage AlphaGenome to help us determine how different regions of the genome affect DNA damage and repair in a cell type specific manner.

Research Questions:

  • How do DNA sequences and cell-specific gene regulation connect to mutation patterns observed in cancer?
  • Can AlphaGenome be used to predict which regions of the genome are more likely to be mutated in certain cell types?

This project will improve our understanding of how mutations develop in cancer, potentially providing avenues for cancer prevention and improved treatment.

Skills and experience required for the project:

Bioinformatics, Computer Science, Biomedical Sciences with computer programming skills.

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