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Cited by 1,735

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

Activities at the Universal Protein Resource (UniProt)

Open access
·2014·Nucleic Acids Research

Abstract

The mission of the Universal Protein Resource (UniProt) (http://www.uniprot.org) is to provide the scientific community with a comprehensive, high-quality and freely accessible resource of protein sequences and functional annotation. It integrates, interprets and standardizes data from literature and numerous resources to achieve the most comprehensive catalog possible of protein information. The central activities are the biocuration of the UniProt Knowledgebase and the dissemination of these data through our Web site and web services. UniProt is produced by the UniProt Consortium, which consists of groups from the European Bioinformatics Institute (EBI), the SIB Swiss Institute of Bioinformatics (SIB) and the Protein Information Resource (PIR). UniProt is updated and distributed every 4 weeks and can be accessed online for searches or downloads.

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Cites

Show all 1 references

Research works printed but not linked: 25

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  2. Pruitt, 2007, NCBI reference sequence (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins, Nucleic Acids Res, 37, D61, 10.1093/nar/gkl842 · DOI · Paper page
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Cited by

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Metadata

Venue
Nucleic Acids Research
Published
2013-11-18
Volume
42
Issue
D1
Pages
D191-D198
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2605068739
Cited by
1,735
References
1
FWCI
172.13
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Activities at the Universal Protein Resource (UniProt). https://app.cochat.ai/papers/10.1093/nar/gkt1140
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Activities at the Universal Protein Resource (UniProt). (2014). Nucleic Acids Research. https://doi.org/10.1093/nar/gkt1140

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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.