Using single-cell genomics to model cell fate decisions and understand the regulation of variability in gene expression
The ability to profile the expression profile, genome and epigenome of individual cells is transforming our ability to answer questions about cell type heterogeneity, cell fate decisions in early development and the regulation of variability in gene expression levels. In this presentation, I will discuss some of the computational methods we have developed to analyse such data and discuss their application in the context of early mammalian development. I will also discuss how we are integrating information about genetic differences between individuals into our analyses.
Date: 10 September 2019, 15:00 (Tuesday, 20th week, Trinity 2019)
Venue: Wellcome Trust Centre for Human Genetics, Headington OX3 7BN
Venue Details: Seminar Room A
Speaker: Dr John Marioni (EMBL-EBI)
Organising department: Big Data Institute (NDM)
Organiser: Professor Gil McVean (Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford)
Organiser contact email address: gil.mcvean@bdi.ox.ac.uk
Host: Professor Gil McVean (Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford)
Part of: WHG Seminars
Booking required?: Not required
Audience: Members of the University only
Editor: Emma Jones