University of Cambridge > Talks.cam > Computational and Systems Biology Seminar Series 2021 - 2022 > Understanding DNA Replication with Nanopore Sequencing, Deep Learning, and Mathematical Modelling

Understanding DNA Replication with Nanopore Sequencing, Deep Learning, and Mathematical Modelling

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  • UserDr. Michael A. Boemo (Department of Pathology, University of Cambridge)
  • ClockWednesday 13 October 2021, 14:00-15:00
  • HouseCMS, Room to be confirmed.

If you have a question about this talk, please contact Samantha Noel.

Our intention is to deliver all Seminars in person, we will follow University Covid Guidance on this. Seminars are aimed mainly at MPhil CompBio students, but are open to anyone who wishes to attend by pre-booking with the Administrator.

In the time it takes you to read this sentence, your body will produce millions of new cells. It is critical that each of them copied their genome accurately; errors in DNA replication are a hallmark of cancer and other genetic diseases. My group is developing artificial intelligence software that measures the movement of DNA replication forks from Oxford Nanopore sequencing data. Using AI in this way has allowed us to detect sites of DNA replication initiation and fork stalling with a spatial resolution and throughput that exceeds previous microscopy-based methods by several orders of magnitude. I will discuss our progress using this technology in human cancer cells and parasites, where we are working on how to better utilise faulty DNA replication as a therapeutic target. I will also discuss process algebra-based modelling and simulation techniques we are developing to help guide our experiments.

This talk is part of the Computational and Systems Biology Seminar Series 2021 - 2022 series.

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