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Cited by 1,257

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The Universal Protein Resource (UniProt) in 2010

Open access
The UniProt Consortium·2010·Nucleic Acids Research

Abstract

The primary mission of UniProt is to support biological research by maintaining a stable, comprehensive, fully classified, richly and accurately annotated protein sequence knowledgebase, with extensive cross-references and querying interfaces freely accessible to the scientific community. UniProt is produced by the UniProt Consortium which consists of groups from the European Bioinformatics Institute (EBI), the Swiss Institute of Bioinformatics (SIB) and the Protein Information Resource (PIR). UniProt is comprised of four major components, each optimized for different uses: the UniProt Archive, the UniProt Knowledgebase, the UniProt Reference Clusters and the UniProt Metagenomic and Environmental Sequence Database. UniProt is updated and distributed every 3 weeks and can be accessed online for searches or download at http://www.uniprot.org.

Overview

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Registry

Crossref · 10.1093/nar/gkp846

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

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Citations

Cites

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Cited by

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Metadata

Authors
The UniProt Consortium
Venue
Nucleic Acids Research
Published
2009-10-20
Volume
38
Issue
suppl_1
Pages
D142-D148
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W4211208250
Cited by
1,257
References
1
FWCI
69.37
Type
journal article
Language
en
Open access
gold

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This page
CoChat. (2026). Citation check: The Universal Protein Resource (UniProt) in 2010. https://app.cochat.ai/papers/10.1093/nar/gkp846
The paper
The UniProt Consortium. (2010). The Universal Protein Resource (UniProt) in 2010. Nucleic Acids Research. https://doi.org/10.1093/nar/gkp846

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.