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CCBI/C2D3 Computational Biology Annual Symposium

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If you have a question about this talk, please contact Gos Micklem.

We are pleased to announce registration is open for this year’s in-person Computational Biology Annual Symposium.

This one-day event reflects the strength and diversity of research in computational biology, taken broadly, both within Cambridge University and beyond.

Date: Wednesday 17 May 2023
Location: Centre for Mathematical Sciences
Coffee from 9.45, tea breaks and lunch provided, drinks at 16.40
Registration: (by 9th May please)

Confirmed speakers:

Tobi Alegbe (Wellcome Sanger Institute) - Utilising single-cell RNA-seq to map expression quantitative trait loci in the healthy and CD-afflicted terminal ileum
Alex Almeida (Veterinary Medicine) - Large-scale metagenomic methods to uncover new biological insights into the human gut microbiome.
Namshik Han (Milner Therapeutics Institute) - Data-driven computational approaches for identifying novel therapeutic targets and drug repositioning opportunities
Guillaume Hennequin (Engineering)  Reading the (neu)runes: data-driven learning of neural dynamics
Kiarash Jamali (MRC Laboratory of Molecular Biology) - Graph Neural Networks for automated atomic modelling and protein identification in cryo-EM maps
Elizabeth Murchison (Veterinary Medicine) - Horizontal gene transfer in a transmissible cancer
Keynote: Christine Orengo FRS (Structural & Molecular Biology, University College London) - Using AlphaFold and Large Language Models to Explore Protein Evolution and the Impacts of Genetic Variations
Helen Saville (Sainsbury Laboratory Cambridge University) - Mathematical modelling of a bioreactor for platelet production
Angela Wood (Public Health & Primary Care/Turing Institute) - Using population-wide electronic health records to advance understanding of contemporary trends in cardiovascular disease in England

This talk is part of the Computational and Systems Biology series.

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