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Single Cell Expression Atlas
Single Cell Expression Atlas (SCEA) can be used to explore gene expression profiles across various species and conditions at single cell resolution. SCEA is an open resource committed to making the information from single cell sequencing datasets readily accessible to the research community and beyond.
SCEA is used to 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.
Click on 
to view main the main features of the Single Cell Expression Atlas homepage: