The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
NCBI reference sequences (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins
Open accessAbstract
NCBI's reference sequence (RefSeq) database (http://www.ncbi.nlm.nih.gov/RefSeq/) is a curated non-redundant collection of sequences representing genomes, transcripts and proteins. The database includes 3774 organisms spanning prokaryotes, eukaryotes and viruses, and has records for 2,879,860 proteins (RefSeq release 19). RefSeq records integrate information from multiple sources, when additional data are available from those sources and therefore represent a current description of the sequence and its features. Annotations include coding regions, conserved domains, tRNAs, sequence tagged sites (STS), variation, references, gene and protein product names, and database cross-references. Sequence is reviewed and features are added using a combined approach of collaboration and other input from the scientific community, prediction, propagation from GenBank and curation by NCBI staff. The format of all RefSeq records is validated, and an increasing number of tests are being applied to evaluate the quality of sequence and annotation, especially in the context of complete genomic sequence.
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Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
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Metadata
- Authors
- Pruitt, K. D., Tatusova, T., & Maglott, D. R.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-01-03
- Volume
- 35
- Issue
- Database
- Pages
- D61-D65
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2107903949
- Cited by
- 4,481
- References
- 2
- FWCI
- 103.75
- Type
- journal article
- Language
- en
- Open access
- gold
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- Pruitt, K. D., Tatusova, T., & Maglott, D. R. (2007). NCBI reference sequences (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins. Nucleic Acids Research. https://doi.org/10.1093/nar/gkl842
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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.