The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Database resources of the National Center for Biotechnology Information
Open accessAbstract
In addition to maintaining the GenBank nucleic acid sequence database, the National Center for Biotechnology Information (NCBI) provides data retrieval systems and computational resources for the analysis of data in GenBank and other biological data made available through NCBI's website. NCBI resources include Entrez, Entrez Programming Utilities, PubMed, PubMed Central, Entrez Gene, the NCBI Taxonomy Browser, BLAST, BLAST Link (BLink), Electronic PCR, OrfFinder, Spidey, RefSeq, UniGene, HomoloGene, ProtEST, dbMHC, dbSNP, Cancer Chromosomes, Entrez Genomes and related tools, the Map Viewer, Model Maker, Evidence Viewer, Clusters of Orthologous Groups (COGs), Retroviral Genotyping Tools, HIV-1/Human Protein Interaction Database, SAGEmap, Gene Expression Omnibus (GEO), Online Mendelian Inheritance in Man (OMIM), the Molecular Modeling Database (MMDB), the Conserved Domain Database (CDD) and the Conserved Domain Architecture Retrieval Tool (CDART). Augmenting many of the Web applications are custom implementations of the BLAST program optimized to search specialized datasets. All of the resources can be accessed through the NCBI home page at http://www.ncbi.nlm.nih.gov.
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Citations
Cites
dbSNP: the NCBI database of genetic variation
Sherry, S. T. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.1.308 · Cited by 7,502
CDD: a Conserved Domain Database for protein classification
Marchler-Bauer, A. (2004) · Nucleic Acids Research · doi:10.1093/nar/gki069 · Cited by 1,156
Cited by
The Universal Protein Resource (UniProt): an expanding universe of protein information
Wu, C. H. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj161 · Cited by 1,110
ModBase, a database of annotated comparative protein structure models, and associated resources
Pieper, U., Webb, B. M., Barkan, D. T., Schneidman-Duhovny, D., Schlessinger, A., Braberg, H., Yang, Z., Meng, E. C., Pettersen, E. F., Huang, C. C., et al. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkq1091 · Cited by 1,071
Benson, D. A. (2004) · Nucleic Acids Research · doi:10.1093/nar/gki063 · Cited by 1,016
Zhao, Y., Wei, W., Lee, I.-M., Shao, J., Suo, X., & Davis, R. E. (2009) · INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY · doi:10.1099/ijs.0.010249-0 · Cited by 667
Escherichia coli K-12: a cooperatively developed annotation snapshot--2005
Riley, M. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj405 · Cited by 608
Metadata
- Authors
- Wheeler, D. L.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-12-17
- Volume
- 33
- Issue
- Database issue
- Pages
- D39-D45
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W4245803912
- Cited by
- 407
- References
- 2
- FWCI
- 23.94
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: Database resources of the National Center for Biotechnology Information. https://app.cochat.ai/papers/10.1093/nar/gki062
- The paper
- Wheeler, D. L. (2004). Database resources of the National Center for Biotechnology Information. Nucleic Acids Research. https://doi.org/10.1093/nar/gki062
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.