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SUMMARY:CCBI/C2D3 Computational Biology Annual Symposium - multiple
DTSTART:20230517T084500Z
DTEND:20230517T161500Z
UID:TALK200662@talks.cam.ac.uk
CONTACT:Gos Micklem
DESCRIPTION:We are pleased to announce registration is open for this year'
 s in-person Computational Biology Annual Symposium.\n\nThis one-day event 
 reflects the strength and diversity of research in computational biology\,
  taken broadly\, both within Cambridge University and beyond.\n\n   Date: 
 Wednesday 17 May 2023\n   Location: Centre for Mathematical Sciences\n\n  
  Coffee from 9.45\, tea breaks and lunch provided\, drinks at 16.40\n\n   
 Registration: http://bit.ly/combio2023 (by 9th May please)\n\n\nConfirmed 
 speakers:\n\n   Tobi Alegbe (Wellcome Sanger Institute) - Utilising single
 -cell RNA-seq to map expression quantitative trait loci in the healthy and
  CD-afflicted terminal ileum\n\n   Alex Almeida (Veterinary Medicine) - La
 rge-scale metagenomic methods to uncover new biological insights into the 
 human gut microbiome.\n\n   Namshik Han (Milner Therapeutics Institute) - 
 Data-driven computational approaches for identifying novel therapeutic tar
 gets and drug repositioning opportunities\n\n   Guillaume Hennequin (Engin
 eering) - Reading the (neu-)runes: data-driven learning of neural dynamics
 \n\n   Kiarash Jamali (MRC Laboratory of Molecular Biology) - Graph Neural
  Networks for automated atomic modelling and protein identification in cry
 o-EM maps\n\n   Elizabeth Murchison (Veterinary Medicine) - Horizontal gen
 e transfer in a transmissible cancer\n\n   Keynote: Christine Orengo FRS (
 Structural & Molecular Biology\, University College London) - Using AlphaF
 old and Large Language Models to Explore Protein Evolution and the Impacts
  of Genetic Variations\n\n   Helen Saville (Sainsbury Laboratory Cambridge
  University) - Mathematical modelling of a bioreactor for platelet product
 ion\n\n   Angela Wood (Public Health & Primary Care/Turing Institute) - Us
 ing population-wide electronic health records to advance understanding of 
 contemporary trends in cardiovascular disease in England\n
LOCATION:Centre for Mathematical Sciences
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