a normalization workshop and jamboree

We define normalization to refer to the within sample removal of technical variability from a single cell RNA sequencing (scRNA-seq) expression matrix, while maintaining biological variability. Outputs from the workshop will be stored on the normjam github.


Normalization is a fundamental step for the analysis of data generated from scRNA-seq experiments. A wide variety of approaches exist for normalization—these range from simple scaling methods to the analysis of generative models of the data. In addition, key questions regarding the underlying assumptions behind normalization, the most appropriate pre-processing steps for scRNA-seq data, and the potential consequences for downstream analysis remain outstanding. normjam will convene a group of experts to discuss and collaborate on several topics related to these problems.


normjam will be held on November 19th and 20th, 2019. The first day will include talks and moderated discussions. The second day will be geared towards working on statistical or computational problems related to normalization. Check the agenda for updates + details.


normjam is hosted by the New York Genome Center and the Chan Zuckerberg Initiative.