The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
FlyBase 2.0: the next generation
Open accessAbstract
FlyBase (flybase.org) is a knowledge base that supports the community of researchers that use the fruit fly, Drosophila melanogaster, as a model organism. The FlyBase team curates and organizes a diverse array of genetic, molecular, genomic, and developmental information about Drosophila. At the beginning of 2018, 'FlyBase 2.0' was released with a significantly improved user interface and new tools. Among these important changes are a new organization of search results into interactive lists or tables (hitlists), enhanced reference lists, and new protein domain graphics. An important new data class called 'experimental tools' consolidates information on useful fly strains and other resources related to a specific gene, which significantly enhances the ability of the Drosophila researcher to design and carry out experiments. With the release of FlyBase 2.0, there has also been a restructuring of backend architecture and a continued development of application programming interfaces (APIs) for programmatic access to FlyBase data. In this review, we describe these major new features and functionalities of the FlyBase 2.0 site and how they support the use of Drosophila as a model organism for biological discovery and translational research.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Expansion of the Gene Ontology knowledgebase and resources
The Gene Ontology Consortium (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw1108 · Cited by 1,850
Mouse Genome Database (MGD)-2018: knowledgebase for the laboratory mouse
Smith, C. L., Blake, J. A., Kadin, J. A., Richardson, J. E., Bult, C. J., & the Mouse Genome Database Group (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1006 · Cited by 219
Cited by
Oughtred, R., Rust, J., Chang, C., Breitkreutz, B., Stark, C., Willems, A., Boucher, L., Leung, G., Kolas, N., Zhang, F., et al. (2021) · Protein Science · doi:10.1002/pro.3978 · Cited by 1,858
Deciphering cell–cell interactions and communication from gene expression
Armingol, E., Officer, A., Harismendy, O., & Lewis, N. E. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-020-00292-x · Cited by 1,267
NCBI RefSeq: reference sequence standards through 25 years of curation and annotation
Goldfarb, T., Kodali, V. K., Pujar, S., Brover, V., Robbertse, B., Farrell, C. M., Oh, D.-H., Astashyn, A., Ermolaeva, O., Haddad, D., et al. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkae1038 · Cited by 455
RNAcentral 2021: secondary structure integration, improved sequence search and new member databases
RNAcentral Consortium, Sweeney, B. A., Petrov, A. I., Ribas, C. E., Finn, R. D., Bateman, A., Szymanski, M., Karlowski, W. M., Seemann, S. E., Gorodkin, J., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa921 · Cited by 419
Self-citationZebrafish information network, the knowledgebase for Danio rerio research
Bradford, Y. M., Van Slyke, C. E., Ruzicka, L., Singer, A., Eagle, A., Fashena, D., Howe, D. G., Frazer, K., Martin, R., Paddock, H., et al. (2022) · Genetics · doi:10.1093/genetics/iyac016 · Cited by 229
Metadata
- Authors
- Thurmond, J., Goodman, J. L., Strelets, V. B., Attrill, H., Gramates, L. S., Marygold, S. J., Matthews, B. B., Millburn, G., Antonazzo, G., Trovisco, V., Kaufman, T. C., Calvi, B. R., the FlyBase Consortium, Perrimon, N., Gelbart, S. R., Agapite, J., Broll, K., Crosby, L., Santos, G. D., Emmert, D., Gramates, L. S., Falls, K., Jenkins, V., Matthews, B., Sutherland, C., Tabone, C., Zhou, P., Zytkovicz, M., Brown, N., Antonazzo, G., Attrill, H., Garapati, P., Holmes, A., Larkin, A., Marygold, S., Millburn, G., Pilgrim, C., Trovisco, V., Urbano, P., Kaufman, T., Calvi, B., Czoch, B., Goodman, J., Strelets, V., Thurmond, J., Cripps, R., & Baker, P.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-10-26
- Volume
- 47
- Issue
- D1
- Pages
- D759-D765
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2898204371
- Cited by
- 733
- References
- 2
- FWCI
- 38.37
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.
