The DOI matches its Crossref record; 8 of the 8 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, http://www.ncbi.nlm.nih.gov) provides analysis and retrieval resources for the data in GenBank and other biological data made available through the NCBI Web site. NCBI resources include Entrez, the Entrez Programming Utilities, MyNCBI, PubMed, PubMed Central, PubReader, Gene, the NCBI Taxonomy Browser, BLAST, BLAST Link, Primer-BLAST, COBALT, RefSeq, UniGene, HomoloGene, ProtEST, dbMHC, dbSNP, dbVar, Epigenomics, the Genetic Testing Registry, Genome and related tools, the Map Viewer, Trace Archive, Sequence Read Archive, BioProject, BioSample, ClinVar, MedGen, HIV-1/Human Protein Interaction Database, Gene Expression Omnibus, Probe, Online Mendelian Inheritance in Animals, the Molecular Modeling Database, the Conserved Domain Database, the Conserved Domain Architecture Retrieval Tool, Biosystems, Protein Clusters and the PubChem suite of small molecule databases. Augmenting many of the Web applications are custom implementations of the BLAST program optimized to search specialized data sets. All these resources can be accessed through the NCBI home page.
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Citations
Cites
Gene Ontology: tool for the unification of biology
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ClinVar: public archive of relationships among sequence variation and human phenotype
Landrum, M. J., Lee, J. M., Riley, G. R., Jang, W., Rubinstein, W. S., Church, D. M., & Maglott, D. R. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1113 · Cited by 3,516
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NCBI Reference Sequences (RefSeq): current status, new features and genome annotation policy
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“org), RefSeqGene provides stable, standard human genomic sequences annotated with standard mRNAs for well-characterized human genes (9).”
BackgroundMethodInfluentialReactome knowledgebase of human biological pathways and processes
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WikiPathways: Pathway Editing for the People
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Diversity of Human Copy Number Variation and Multicopy Genes
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“Currently, Biosystems receives data from the Kyoto Encyclopedia of Genes and Genomes (32–34), BioCyc (35), Reactome (36), the Pathway Interaction Database (37), WikiPathways (38,39) and Gene Ontology (40).”
Method
Cited by
ClinVar: improving access to variant interpretations and supporting evidence
Landrum, M. J., Lee, J. M., Benson, M., Brown, G. R., Chao, C., Chitipiralla, S., Gu, B., Hart, J., Hoffman, D., Jang, W., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1153 · Cited by 4,196
ClinVar: public archive of relationships among sequence variation and human phenotype
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Amberger, J. S., Bocchini, C. A., Schiettecatte, F., Scott, A. F., & Hamosh, A. (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1205 · Cited by 2,691
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Asnicar, F., Thomas, A. M., Beghini, F., Mengoni, C., Manara, S., Manghi, P., Zhu, Q., Bolzan, M., Cumbo, F., May, U., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-16366-7 · Cited by 869
PANTHER version 10: expanded protein families and functions, and analysis tools
Mi, H., Poudel, S., Muruganujan, A., Casagrande, J. T., & Thomas, P. D. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1194 · Cited by 770
Untangling the brain’s neuroinflammatory and neurodegenerative transcriptional responses
Srinivasan, K., Friedman, B. A., Larson, J. L., Lauffer, B. E., Goldstein, L. D., Appling, L. L., Borneo, J., Poon, C., Ho, T., Cai, F., et al. (2016) · Nature Communications · doi:10.1038/ncomms11295 · Cited by 336
Porebski, B. T., & Buckle, A. M. (2016) · Protein Engineering Design and Selection · doi:10.1093/protein/gzw015 · Cited by 215
Teufel, A., Itzel, T., Erhart, W., Brosch, M., Wang, X. Y., Kim, Y. O., von Schönfels, W., Herrmann, A., Brückner, S., Stickel, F., et al. (2016) · Gastroenterology · doi:10.1053/j.gastro.2016.05.051 · Cited by 229
Ciallella, H. L., & Zhu, H. (2019) · Chemical Research in Toxicology · doi:10.1021/acs.chemrestox.8b00393 · Cited by 227
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Best Practices for Making Reproducible Biochemical Models
Porubsky, V. L., Goldberg, A. P., Rampadarath, A. K., Nickerson, D. P., Karr, J. R., & Sauro, H. M. (2020) · Cell Systems · doi:10.1016/j.cels.2020.06.012 · Cited by 45
Kimura, K., Okuda, S., Nakayama, K., Shikata, T., Takahashi, F., Yamaguchi, H., Skamoto, S., Yamaguchi, M., & Tomaru, Y. (2015) · PLOS ONE · doi:10.1371/journal.pone.0142731 · Cited by 39
Tool for filtering PubMed search results by sample size.
Baladrón, C., Santos-Lozano, A., Aguiar, J. M., Lucia, A., & Martín-Hernández, J. (2018) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocx155 · Cited by 6
Metadata
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-11-19
- Volume
- 42
- Issue
- D1
- Pages
- D7-D17
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W4238718120
- Cited by
- 384
- References
- 8
- FWCI
- 26.90
- Type
- journal article
- Language
- en
- Open access
- gold
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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.