03029nas a2200397 4500000000100000000000100001008004100002260001600043100002400059700001700083700001600100700001300116700002100129700002000150700001800170700002000188700002000208700001700228700001700245700001800262700002000280700001900300700001800319700001900337700002100356700001900377700001800396700001800414700001700432700002100449245008900470300001400559490000700573520203700580022001402617 2018 d c2018 Jan 041 aIrene Papatheodorou1 aNuno Fonseca1 aMaria Keays1 aAmy Tang1 aElisabet Barrera1 aWojciech Bazant1 aMelissa Burke1 aAnja Füllgrabe1 aAlfonso Fuentes1 aNancy George1 aLaura Huerta1 aSatu Koskinen1 aSuhaib Mohammed1 aMatthew Geniza1 aJustin Preece1 aPankaj Jaiswal1 aAndrew Jarnuczak1 aWolfgang Huber1 aOliver Stegle1 aJuan Vizcaino1 aAlvis Brazma1 aRobert Petryszak00aExpression Atlas: gene and protein expression across multiple studies and organisms. aD246-D2510 v463 aExpression Atlas (http://www.ebi.ac.uk/gxa) is an added value database that provides information about gene and protein expression in different species and contexts, such as tissue, developmental stage, disease or cell type. Expression atlas view of maize genes The available public and controlled access data sets from different sources are curated and re-analysed using standardized, open source pipelines and made available for queries, download and visualization. As of August 2017, Expression Atlas holds data from 3,126 studies across 33 different species, including 731 from plants. Data from large-scale RNA sequencing studies including Blueprint, PCAWG, ENCODE, GTEx and HipSci can be visualized next to each other. In Expression Atlas, users can query genes or gene-sets of interest and explore their expression across or within species, tissues, developmental stages in a constitutive or differential context, representing the effects of diseases, conditions or experimental interventions. All processed data matrices are available for direct download in tab-delimited format or as R-data. In addition to the web interface, data sets can now be searched and downloaded through the Expression Atlas R package. Novel features and visualizations include the on-the-fly analysis of gene set overlaps and the option to view gene co-expression in experiments investigating constitutive gene expression across tissues or other conditions. a1362-4962