The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
GenBank
Abstract
GenBank® (www.ncbi.nlm.nih.gov/genbank/) is a comprehensive database that contains publicly available nucleotide sequences for 400 000 formally described species. These sequences are obtained primarily through submissions from individual laboratories and batch submissions from large-scale sequencing projects, including whole genome shotgun and environmental sampling projects. Most submissions are made using BankIt, the National Center for Biotechnology Information (NCBI) Submission Portal, or the tool tbl2asn. GenBank staff assign accession numbers upon data receipt. Daily data exchange with the European Nucleotide Archive and the DNA Data Bank of Japan ensures worldwide coverage. GenBank is accessible through the NCBI Nucleotide database, which links to related information such as taxonomy, genomes, protein sequences and structures, and biomedical journal literature in PubMed. BLAST provides sequence similarity searches of GenBank and other sequence databases. Complete bimonthly releases and daily updates of the GenBank database are available by FTP. Recent updates include changes to sequence identifiers, submission wizards for 16S and Influenza sequences, and an Identical Protein Groups resource.
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“GenBank, for example, included more than 2635 Gbp (billion base pairs) in its 2017 release number 221, of which 2242 Gbp (85%) originated from whole-genome shotgun sequencing (1).”
From Tandem repeats lead to sequence assembly errors and impose multi-level challenges for genome and protein databases (2019) · cites this paper as [1]
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Citations
Cites
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Self-citationThe sequence read archive: explosive growth of sequencing data
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Database Resources of the National Center for Biotechnology Information
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The International Nucleotide Sequence Database Collaboration
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Self-citationBenson, D. A., Cavanaugh, M., Clark, K., Karsch-Mizrachi, I., Lipman, D. J., Ostell, J., & Sayers, E. W. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw1070 · Cited by 632
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Self-citation[10] Entrez: Molecular biology database and retrieval system
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Assembly: a resource for assembled genomes at NCBI
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Self-citationDatabase resources of the National Center for Biotechnology Information
(2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1146 · Cited by 384
BioProject and BioSample databases at NCBI: facilitating capture and organization of metadata
Barrett, T., Clark, K., Gevorgyan, R., Gorelenkov, V., Gribov, E., Karsch-Mizrachi, I., Kimelman, M., Pruitt, K. D., Resenchuk, S., Tatusova, T., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr1163 · Cited by 347
Self-citationProtein sequence similarity searches using patterns as seeds
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The International Nucleotide Sequence Database Collaboration
Cochrane, G., Karsch‐Mizrachi, I., & Takagi, T. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1323 · Cited by 199
Self-citationType material in the NCBI Taxonomy Database
Federhen, S. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku1127 · Cited by 196
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European Nucleotide Archive in 2016
Toribio, A. L., Alako, B., Amid, C., Cerdeño-Tárraga, A. M., Clarke, L., Cleland, I., Fairley, S., Gibson, R., Goodgame, N., ten Hoopen, P., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw1106 · Cited by 78
Cited by
Chklovski, A., Parks, D. H., Woodcroft, B. J., & Tyson, G. W. (2023) · Nature Methods · doi:10.1038/s41592-023-01940-w · Cited by 1,705
Next-generation sequencing: insights to advance clinical investigations of the microbiome
Wensel, C. R., Pluznick, J. L., Salzberg, S. L., & Sears, C. L. (2022) · Journal of Clinical Investigation · doi:10.1172/jci154944 · Cited by 437
Drug repurposing for cancer therapy
Xia, Y., Sun, M., Huang, H., & Jin, W.-L. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01808-1 · Cited by 443
Levy Karin, E., Mirdita, M., & Söding, J. (2020) · Microbiome · doi:10.1186/s40168-020-00808-x · Cited by 299
Tørresen, O. K., Star, B., Mier, P., Andrade-Navarro, M. A., Bateman, A., Jarnot, P., Gruca, A., Grynberg, M., Kajava, A. V., Promponas, V. J., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz841 · Cited by 347
Metadata
- Authors
- Benson, D. A., Cavanaugh, M., Clark, K., Karsch-Mizrachi, I., Ostell, J., Pruitt, K. D., & Sayers, E. W.
- ORCID
- Sayers, Eric W
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-11-13
- Volume
- 46
- Issue
- D1
- Pages
- D41-D47
- ISSN
- 0305-1048
- 1362-4962
- PMC
- PMC5753231
- Cited by
- 760
- References
- 18
- Language
- en
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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.
