The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Gene Expression Atlas at the European Bioinformatics Institute
Open accessAbstract
The Gene Expression Atlas (http://www.ebi.ac.uk/gxa) is an added-value database providing information about gene expression in different cell types, organism parts, developmental stages, disease states, sample treatments and other biological/experimental conditions. The content of this database derives from curation, re-annotation and statistical analysis of selected data from the ArrayExpress Archive of Functional Genomics Data. A simple interface allows the user to query for differential gene expression either (i) by gene names or attributes such as Gene Ontology terms, or (ii) by biological conditions, e.g. diseases, organism parts or cell types. The gene queries return the conditions where expression has been reported, while condition queries return which genes are reported to be expressed in these conditions. A combination of both query types is possible. The query results are ranked using various statistical measures and by how many independent studies in the database show the particular gene-condition association. Currently, the database contains information about more than 200,000 genes from nine species and almost 4500 biological conditions studied in over 30,000 assays from over 1000 independent studies.
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Cites
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RBPDB: a database of RNA-binding specificities
Cook, K. B., Kazan, H., Zuberi, K., Morris, Q., & Hughes, T. R. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkq1069 · Cited by 638
Distinct p53 Transcriptional Programs Dictate Acute DNA-Damage Responses and Tumor Suppression
Brady, C. A., Jiang, D., Mello, S. S., Johnson, T. M., Jarvis, L. A., Kozak, M. M., Broz, D. K., Basak, S., Park, E. J., McLaughlin, M. E., et al. (2011) · Cell · doi:10.1016/j.cell.2011.03.035 · Cited by 533
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Self-citationLarge-scale investigation of the reasons why potentially important genes are ignored
Stoeger, T., Gerlach, M., Morimoto, R. I., & Nunes Amaral, L. A. (2018) · PLOS Biology · doi:10.1371/journal.pbio.2006643 · Cited by 261
Metadata
- Authors
- Kapushesky, M., Emam, I., Holloway, E., Kurnosov, P., Zorin, A., Malone, J., Rustici, G., Williams, E., Parkinson, H., & Brazma, A.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-11-10
- Volume
- 38
- Issue
- suppl_1
- Pages
- D690-D698
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2084975981
- Cited by
- 256
- References
- 20
- FWCI
- 9.72
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Gene Expression Atlas at the European Bioinformatics Institute. https://app.cochat.ai/papers/10.1093/nar/gkp936
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- Kapushesky, M., Emam, I., Holloway, E., Kurnosov, P., Zorin, A., Malone, J., Rustici, G., Williams, E., Parkinson, H., & Brazma, A. (2010). Gene Expression Atlas at the European Bioinformatics Institute. Nucleic Acids Research. https://doi.org/10.1093/nar/gkp936
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
