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SUMMARY:BSU Seminar: "Statistical modelling for state-of-the-art gene edit
 ing experiments" - Magdalena Strauss\, European Bioinformatics Institute 
DTSTART:20240220T140000Z
DTEND:20240220T150000Z
UID:TALK211372@talks.cam.ac.uk
CONTACT:Alison Quenault
DESCRIPTION:This talk will present important biomedical application of sta
 tistics\, and research in collaboration with experts in gene editing (expe
 riments that make changes to DNA)\, cancer\, and embryonic development fro
 m the Wellcome Sanger Institute\, the University of Cambridge\, and Gothen
 burg University. It will present applications to gene editing and genomics
  of a wide range of statistical modelling and inference techniques includi
 ng mixture modelling\, mixed models\, linear and non-linear methods of dim
 ensionality reduction\, variable selection for high-dimensional data\, top
 ic modelling\, and non-parametric hypothesis testing. I will present scSNV
 -seq\, an approach to combine gene editing with both DNA and mRNA abundanc
 e (measure of gene activity) readout for single cells (Cooper\, Coelho\, S
 trauss et al.\, 2024). scSNV-seq allows us to link gene editing outcomes\,
  which can be generated to reproduce DNA changes in e.g. cancer patients\,
  to changes in how the cell functions. In addition\, I will be presenting 
 research on complex developing cell populations\, presenting a suite of st
 atistical tools designed to understand the role of perturbations of partic
 ular genes in development or the effect of perturbations by disease in can
 cer samples (Strauss et al.\, 2023).
LOCATION:MRC Biostatistics Unit\, East Forvie Building\, Forvie Site Robin
 son Way Cambridge CB2 0SR.
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