Database resources of the National Center for Biotechnology Information in 2023
By E. Sayers, Evan E. Bolton, J. R. Brister, Kathi Canese, Jessica Chan, Donald C. Comeau, C. Farrell, M. Feldgarden, Anna M. Fine, Kathryn Funk and 22 more. Nucleic Acids Res., 2022
339 citations recorded by the source corpus.
The National Center for Biotechnology Information (NCBI) provides online information resources for biology, including the GenBank® nucleic acid sequence database and the PubMed® database of citations and abstracts published in life science journals. NCBI provides search and retrieval operations for most of these data from 35 distinct databases. The E-utilities serve as the programming interface for most of these databases. New resources include the Comparative Genome Resource (CGR) and the BLAST ClusteredNR database. Resources receiving significant updates in the past year include PubMed, PMC, Bookshelf, IgBLAST, GDV, RefSeq, NCBI Virus, GenBank type assemblies, iCn3D, ClinVar, GTR, dbGaP, ALFA, ClinicalTrials.gov, Pathogen Detection, antimicrobial resistance resources, and PubChem. These resources can be accessed through the NCBI home page at https://www.ncbi.nlm.nih.gov.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/f8ced1088bd760d8322d0d1ef6f1648bd2ff5683
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In Molecular Biology
- Sunghwan Kim
- Evan E. Bolton
- Jiyao Wang
- Aron Marchler-Bauer
- Françoise Thibaud-Nissen
- J. R. Brister
- Jian Ye
- Stephen H. Bryant
Citations in the corpus
- Exploring and retrieving sequence and metadata for species across the tree of life with NCBI Datasets (2024, methodology): “This calculation relies on protein sequence similarity and local synteny information 8 .”
- Database resources of the National Center for Biotechnology Information in 2025. (2024, positive): “The NCBI Pathogen Detection Project ( https://www.ncbi. nlm.nih.gov/ pathogens/ ) helps public health scientists investigate disease outbreaks by integrating pathogen genomic sequences obtained from cultured bacterial isolates and quickly clustering and identifying related sequences ( 28 ).”