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Expression Atlas update—an integrated database of gene and protein expression in humans, animals and plants
Author(s) -
Robert Petryszak,
Maria Keays,
Amy Tang,
Nuno A. Fonseca,
Elisabet Barrera,
Tony Burdett,
Anja Füllgrabe,
Alfonso Muñoz-Pomer Fuentes,
Simon Jupp,
Satu Koskinen,
Oliver Mannion,
Laura Huerta,
Karyn Mégy,
Catherine Snow,
Eleanor Williams,
Mitra Barzine,
Emma Hastings,
Hendrik Weisser,
James C. Wright,
Pankaj Jaiswal,
Wolfgang Huber,
Jyoti S. Choudhary,
Helen Parkinson,
Alvis Brāzma
Publication year - 2015
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkv1045
Subject(s) - biology , human protein atlas , gene expression profiling , computational biology , gene expression , gene , transcriptome , atlas (anatomy) , dna microarray , biological pathway , database , proteomics , genetics , protein expression , computer science , paleontology
Expression Atlas (http://www.ebi.ac.uk/gxa) provides information about gene and protein expression in animal and plant samples of different cell types, organism parts, developmental stages, diseases and other conditions. It consists of selected microarray and RNA-sequencing studies from ArrayExpress, which have been manually curated, annotated with ontology terms, checked for high quality and processed using standardised analysis methods. Since the last update, Atlas has grown seven-fold (1572 studies as of August 2015), and incorporates baseline expression profiles of tissues from Human Protein Atlas, GTEx and FANTOM5, and of cancer cell lines from ENCODE, CCLE and Genentech projects. Plant studies constitute a quarter of Atlas data. For genes of interest, the user can view baseline expression in tissues, and differential expression for biologically meaningful pairwise comparisons-estimated using consistent methodology across all of Atlas. Our first proteomics study in human tissues is now displayed alongside transcriptomics data in the same tissues. Novel analyses and visualisations include: 'enrichment' in each differential comparison of GO terms, Reactome, Plant Reactome pathways and InterPro domains; hierarchical clustering (by baseline expression) of most variable genes and experimental conditions; and, for a given gene-condition, distribution of baseline expression across biological replicates.

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