High-throughput single-cell technologies are developing rapidly, providing new insights into development, differentiation and cellular decision making at an unprecedented resolution. Through advancements in single-cell sequencing and mass cytometry, researchers can now readily collect hundreds of thousands to tens of millions of single-cell profiles across multiple molecular levels (transcriptomic, proteomic and epigenomic). These technological breakthroughs have facilitated large-scale generation of single-cell data, posing considerable challenges to computational methods, such as handling technical noise and data scale.

During this meeting, we will discuss challenges and applications of single-cell omics across different fields of biological research. The goal of this meeting is to bring together a community of researchers to exchange ideas and information about new methodologies for single-cell data analysis and how single-cell data is changing our biological insights. The program is aimed at those interested in single-cell analysis from a wide-range of biological problems.

Registration is free, but required.