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Mining viral datasets

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If you have a question about this talk, please contact Zoubin Ghahramani.

Viruses are of great medical, veterinary, and agricultural interest. An enormous amount of data has amassed on viruses, which also offers great opportunities to employ viruses as model organisms, for example, to help understand evolutionary processes. Specifically, I will describe how my colleagues and I are using viral datasets for:
  • virus identification;
  • comparison of evolutionary pressures in possibly divergent viruses;
  • tracking population dynamics of viruses over time;
  • characterisation of antigenic properties of viruses;
  • host-virus relationships.

My goal is to introduce the audience to the diversity of viral datasets, and the potential for employing sophisticated statistical and computational approaches.

This talk is part of the Machine Learning @ CUED series.

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