Explore gene expression profiles across various species and conditions at single cell resolution.

Single Cell Expression Atlas (SCEA) is an open resource committed to making the information from single cell sequencing datasets readily accessible to the research community and beyond. At SCEA we accumulate, curate and re-analyse available raw single-cell sequencing data from multiple species and across experimental conditions to make them cross-comparable and we present the analysis results in a user-friendly interface for public consumption. This allows researchers to gain a quick insight into the expression pattern of their gene of interest at the level of individual cells across different species from human to Saccharomyces.

At SCEA we aim to keep pace with the rapidly growing single cell transcriptomics research and to make the knowledge thus obtained truly open and widely available so that it can serve as basis for further studies.

The webinar will provide a quick overview of:

Different single cell sequencing methods
Various ways of searching SCEA
How to filter and interpret the analysis results on the experiment page
Additional features and resources available on the experiment page