Integrative analysis of multi-modal single-cell data
October 20, 2020 9:00 am PDT | 12:00 pm EDT | 6:00 pm CEST
Single cell RNA-seq has proven to be a transformative tool for the discovery of cell types and states, but the transcriptome reflects only one aspect of cellular identity. The next frontier for single cell genomics is 'multi-modal' analysis, where multiple types of measurements are simultaneously collected from individual cells, often in parallel with gene expression. Discover how you can take advantage of cutting-edge single cell approaches with Dr. Rahul Satija of the New York Genome Center as he introduces integrative multi-modal analysis with Seurat v4.
During this webinar you will learn about:
- Seurat v4, an updated version of the Satija Lab’s R toolkit for the analysis, exploration, and integration of single cell datasets
- New statistical methods designed for integrative analysis of gene expression alongside additional modalities, including protein levels, chromatin state, spatial location, and genetic perturbations
- How you can use Seurat v4 for integrative analysis of gene expression and chromatin accessibility data collected simultaneously from the same single cell