Computational methods for scRNAseq

  • Hannah M Tayler (Participant)

Activity: Participating in or organising an event typesParticipation in workshop, seminar, course

Description

Martin Hemberg (Assistant Professor of Neurology, Brigham & Women's Hospital Member of the Faculty, Harvard Medical School)
Hosted by the School of Medicine at Cardiff University

Single cell RNAseq (scRNAseq) has become a widely used assay in biomedical research. However, these experiments result in large and complex datasets, and to be able to take full advantage of these experiments, novel computational methods are required. As there is now an established workflow for how to process data and identify key genes, cell types and transitions, we and others have started to focus on developing methods that allow users to explore other biological questions. In this talk, I will discuss some of the methods that are currently under development in the Hemberg lab.

Martin Hemberg is Assistant Professor of Neurology, Brigham & Women's Hospital Member of the Faculty, Harvard Medical School.
Before moving to Harvard in 2021, he was a Group Leader at the Wellcome Sanger Institute, where his work has focused on developing methods for analyzing single-cell RNA-seq data. His field of research is computational genomics, and he is primarily interested in developing methods and models to help understand gene regulation.
Period23 Sept 2021
Event typeWorkshop
Degree of RecognitionInternational