Expression Atlas: gene and protein expression across multiple studies and organisms

被引:285
作者
Papatheodorou, Irene [1 ,3 ]
Fonseca, Nuno A. [1 ]
Keays, Maria [1 ]
Tang, Y. Amy [1 ]
Barrera, Elisabet [1 ]
Bazant, Wojciech [1 ]
Burke, Melissa [1 ]
Fullgrabe, Anja [1 ]
Fuentes, Alfonso Munoz-Pomer [1 ]
George, Nancy [1 ]
Huerta, Laura [1 ]
Koskinen, Satu [1 ,4 ]
Mohammed, Suhaib [1 ]
Geniza, Matthew [2 ]
Preece, Justin [2 ]
Jaiswal, Pankaj [2 ]
Jarnuczak, Andrew F. [1 ]
Huber, Wolfgang [1 ]
Stegle, Oliver [1 ]
Vizcaino, Juan Antonio [1 ]
Brazma, Alvis [1 ]
Petryszak, Robert [1 ]
机构
[1] EMBL EBI, European Bioinformat Inst, European Mol Biol Lab, Hinxton, England
[2] Oregon State Univ, Corvallis, OR 97331 USA
[3] European Bioinformat Inst EMBL, Funct Genom, Cambridge CB10 1SD, England
[4] Turku Ctr Biotechnol, Turku, Finland
基金
美国国家科学基金会; 英国惠康基金;
关键词
PLATFORM; ARCHIVE; GENOMICS;
D O I
10.1093/nar/gkx1158
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Expression 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. 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.
引用
收藏
页码:D246 / D251
页数:6
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