Combinatorial Indexing: A high-throughput, scalable approach for exploring single-cell epigenomics
The myriad of cell types present in a tissue pose extensive challenges for dissecting how cells develop in normal and disease states. With recent advances in single-cell transcriptomics, precise mapping of cell types is now possible where both genomic and epigenomic properties can be explored at the single-cell level.
Join this educational webinar to learn from an eminent researcher how Single-Cell Combinatorial Indexing (SCI) can be used for assessment of the open chromatin landscape of single cells. This high-throughput, scalable method integrates cell sorting with single-cell RNA sequencing to profile both the genomic and epigenomic properties of a variety of cells.
In this webinar, you will learn:
- How Single Cell Combinatorial Indexing can be used to simultaneously generate thousands of low-pass single-cell libraries
- How workflows can be optimized to profile single cells from different tissues
Who should attend
This webinar will provide insights for researchers wanting to learn how to optimize and deploy Single-Cell Combinational Indexing to profile cells from different tissue types.
Certificate of attendance
All webinar participants can request a certificate of attendance, and a learning outcomes summary document for continuing education purposes.