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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Cites
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Self-citationThe sequence read archive: explosive growth of sequencing data
Kodama, Y., Shumway, M., Leinonen, R., & on behalf of the International Nucleotide Sequence Database Collaboration (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr854 · Cited by 894
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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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
neuPrint: an open access tool for EM connectomics
Plaza, S. M., Clements, J., Dolafi, T., Umayam, L., Neubarth, N. N., Scheffer, L. K., & Berg, S. (2022) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2022.896292 · Cited by 145
Exploration of databases and methods supporting drug repurposing: a comprehensive survey
Tanoli, Z., Seemab, U., Scherer, A., Wennerberg, K., Tang, J., & Vähä-Koskela, M. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbaa003 · Cited by 131
VOGDB—Database of Virus Orthologous Groups
(2024) · doi:10.3390/v16081191 · Cited by 61
Danchin, A., Ouzounis, C., Tokuyasu, T., & Zucker, J. (2018) · Microbial Biotechnology · doi:10.1111/1751-7915.13284 · Cited by 56
Protein sequence‐to‐structure learning: Is this the end(‐to‐end revolution)?
Laine, E., Eismann, S., Elofsson, A., & Grudinin, S. (2021) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.26235 · Cited by 44
Myer, P. R., McDaneld, T. G., Kuehn, L. A., Dedonder, K. D., Apley, M. D., Capik, S. F., Lubbers, B. V., Harhay, G. P., Harhay, D. M., Keele, J. W., et al. (2020) · PLOS ONE · doi:10.1371/journal.pone.0235498 · Cited by 31
Zehr, J. D., Kosakovsky Pond, S. L., Millet, J. K., Olarte-Castillo, X. A., Lucaci, A. G., Shank, S. D., Ceres, K. M., Choi, A., Whittaker, G. R., Goodman, L. B., et al. (2023) · Virus Evolution · doi:10.1093/ve/vead019 · Cited by 30
Gong, W., Guerler, A., Zhang, C., Warner, E., Li, C., & Zhang, Y. (2021) · Journal of Molecular Biology · doi:10.1016/j.jmb.2021.166944 · Cited by 13
Gomes‐Pereira, J. N., Pham, C. K., Miodonski, J., Santos, M. A. R., Dionísio, G., Catarino, D., Nyegaard, M., Sawai, E., Carreira, G. P., & Afonso, P. (2023) · Journal of Fish Biology · doi:10.1111/jfb.15244 · Cited by 8
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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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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