Expression Atlas update: gene and protein expression in multiple species.
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Authors
Fexova, Silvie
George, Nancy
Manning, Jonathan R
Mohammed, Suhaib
Muñoz-Pomer, Alfonso
Bi, Yalan
Bush, Natassja
Iqbal, Haider
Kumbham, Upendra
Solovyev, Andrey
Zhao, Lingyun
Prakash, Ananth
García-Seisdedos, David
Kundu, Deepti J
Wang, Shengbo
Walzer, Mathias
Osumi-Sutherland, David
Kumari, Sunita
Ware, Doreen
Eliasova, Jana
Arends, Mark J
Nawijn, Martijn C
Meyer, Kerstin
Teichmann, Sarah
Brazma, Alvis
Publication Date
2022-01-07Journal Title
Nucleic Acids Res
ISSN
0305-1048
Publisher
Oxford University Press (OUP)
Volume
50
Issue
D1
Pages
D129-D140
Type
Article
This Version
VoR
Physical Medium
Print
Metadata
Show full item recordCitation
Moreno, P., Fexova, S., George, N., Manning, J. R., Miao, Z., Mohammed, S., Muñoz-Pomer, A., et al. (2022). Expression Atlas update: gene and protein expression in multiple species.. Nucleic Acids Res, 50 (D1), D129-D140. https://doi.org/10.1093/nar/gkab1030
Abstract
The EMBL-EBI Expression Atlas is an added value knowledge base that enables researchers to answer the question of where (tissue, organism part, developmental stage, cell type) and under which conditions (disease, treatment, gender, etc) a gene or protein of interest is expressed. Expression Atlas brings together data from >4500 expression studies from >65 different species, across different conditions and tissues. It makes these data freely available in an easy to visualise form, after expert curation to accurately represent the intended experimental design, re-analysed via standardised pipelines that rely on open-source community developed tools. Each study's metadata are annotated using ontologies. The data are re-analyzed with the aim of reproducing the original conclusions of the underlying experiments. Expression Atlas is currently divided into Bulk Expression Atlas and Single Cell Expression Atlas. Expression Atlas contains data from differential studies (microarray and bulk RNA-Seq) and baseline studies (bulk RNA-Seq and proteomics), whereas Single Cell Expression Atlas is currently dedicated to Single Cell RNA-Sequencing (scRNA-Seq) studies. The resource has been in continuous development since 2009 and it is available at https://www.ebi.ac.uk/gxa.
Sponsorship
European Commission Horizon 2020 (H2020) Societal Challenges (874656)
Identifiers
External DOI: https://doi.org/10.1093/nar/gkab1030
This record's URL: https://www.repository.cam.ac.uk/handle/1810/333881
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