Single-cell RNA-seq (scRNA-seq) is widely used to investigate the composition of complex tissues since the technology allows researchers to define cell-types using unsupervised clustering of the transcriptome. However, due to differences in experimental methods and computational analyses, it is often challenging to directly compare the cells identified in two different experiments. scmap is a method for projecting cells from a scRNA-seq experiment on to the cell-types or individual cells identified in a different experiment.
The Hemberg group is interested in developing quantitative models of gene expression. Our approach is theoretical and we strive to develop novel mathematical models as well as computational tools that can be used by other researchers.
Related Programmes, Associate Research Programmes and Facilities
We are focused on using single-cell approaches, so called “cell atlas” technologies and understanding human genetics at the cellular level. The team combine cutting-edge techniques in wet and dry lab and are applying these methodologies for further understanding of human health, development and disease.