Single Cell Expression Atlas

Single Cell Expression Atlas (https://www.ebi.ac.uk/gxa/sc) is an open science resource that offers powerful searches for a gene expression data in different cell types, across tissues, species and conditions.

Since its launch in May 2018, the Single Cell Expression Atlas has annotated and reanalysed 132 single cell RNA-Seq (scRNA-Seq) experiments across 12 different species that can be searched and visualised through its web interfaces. The SCEA is unique in that it reprocesses raw scRNA-Seq data in a standardised way.

This proposal aims to keep up with the rapid technology development, expand the resource with new data modalities, continue expanding the species coverage and cross-species mapping and expand the functionality of the resource.

In particular, we will integrate single cell data sets from spatial and in-situ transcriptomics technologies, as well as emerging single cell omics protocols.

Additionally, we will expand the types of analyses performed to facilitate study integration, cell type discovery and annotation.

Finally, we will develop anatomograms at the organ, tissue and cell type level to enable intuitive interpretation of the experimental results and easily integrate the different types of data on the user interface.