The Expression Atlas is an added-value database based on re-analysis of (RNA-seq and microarray) gene and protein expression data from EMBL-EBI's ArrayExpress and PRIDE archives respectively, as well as from external sources.  It shows you which genes/proteins are expressed under different conditions (e.g. tissues, cell types, cell lines, strains or developmental stages), and how expression differs between conditions (e.g. comparing disease to healthy). Future development will include metabolite expression data.

Team members

Robert Petryszak
Alvis Brazma
Anja Fullgrabe
Laura Huerta Martinez
Satu Koskinen
Melissa Burke
Alfonso Munoz-Pomer Fuentes
Nuno Fonseca
Irene Papatheodorou
Elisabet Barrera Casanova
Amy Tang
Maria Keays