The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
GtRNAdb 2.0: an expanded database of transfer RNA genes identified in complete and draft genomes
Open accessAbstract
Transfer RNAs represent the largest, most ubiquitous class of non-protein coding RNA genes found in all living organisms. The tRNAscan-SE search tool has become the de facto standard for annotating tRNA genes in genomes, and the Genomic tRNA Database (GtRNAdb) was created as a portal for interactive exploration of these gene predictions. Since its published description in 2009, the GtRNAdb has steadily grown in content, and remains the most commonly cited web-based source of tRNA gene information. In this update, we describe not only a major increase in the number of tRNA predictions (>367000) and genomes analyzed (>4370), but more importantly, the integration of new analytic and functional data to improve the quality and biological context of tRNA gene predictions. New information drawn from other sources includes tRNA modification data, epigenetic data, single nucleotide polymorphisms, gene expression and evolutionary conservation. A richer set of analytic data is also presented, including better tRNA functional prediction, non-canonical features, predicted structural impacts from sequence variants and minimum free energy structural predictions. Views of tRNA genes in genomic context are provided via direct links to the UCSC genome browsers. The database can be searched by sequence or gene features, and is available at http://gtrnadb.ucsc.edu/.
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
Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Cingolani, P., Platts, A., Wang, L. L., Coon, M., Nguyen, T., Wang, L., Land, S. J., Lu, X., & Ruden, D. M. (2012) · Fly · doi:10.4161/fly.19695 · Cited by 11,816
tRNAscan-SE: A Program for Improved Detection of Transfer RNA Genes in Genomic Sequence
Lowe, T. M., & Eddy, S. R. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.5.955 · Cited by 10,905
Self-citationDatabase resources of the National Center for Biotechnology Information: update
Wheeler, D. L. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh073 · Cited by 10,641
Lorenz, R., Bernhart, S. H., Höner zu Siederdissen, C., Tafer, H., Flamm, C., Stadler, P. F., & Hofacker, I. L. (2011) · Algorithms for Molecular Biology · doi:10.1186/1748-7188-6-26 · Cited by 5,098
Infernal 1.1: 100-fold faster RNA homology searches
Nawrocki, E. P., & Eddy, S. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt509 · Cited by 3,591
MODOMICS: a database of RNA modification pathways—2013 update
Machnicka, M. A., Milanowska, K., Osman Oglou, O., Purta, E., Kurkowska, M., Olchowik, A., Januszewski, W., Kalinowski, S., Dunin-Horkawicz, S., Rother, K. M., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1007 · Cited by 1,013
Endogenous tRNA-Derived Fragments Suppress Breast Cancer Progression via YBX1 Displacement
Goodarzi, H., Liu, X., Nguyen, H. C. B., Zhang, S., Fish, L., & Tavazoie, S. F. (2015) · Cell · doi:10.1016/j.cell.2015.02.053 · Cited by 949
GtRNAdb: a database of transfer RNA genes detected in genomic sequence
Chan, P. P., & Lowe, T. M. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn787 · Cited by 877
Self-citation
Cited by
tRNAscan-SE 2.0: improved detection and functional classification of transfer RNA genes
Chan, P. P., Lin, B. Y., Mak, A. J., & Lowe, T. M. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab688 · Cited by 1,925
Self-citationA large-scale binding and functional map of human RNA-binding proteins
Van Nostrand, E. L., Freese, P., Pratt, G. A., Wang, X., Wei, X., Xiao, R., Blue, S. M., Chen, J.-Y., Cody, N. A. L., Dominguez, D., et al. (2020) · Nature · doi:10.1038/s41586-020-2077-3 · Cited by 1,317
Base-resolution models of transcription-factor binding reveal soft motif syntax
Avsec, Ž., Weilert, M., Shrikumar, A., Krueger, S., Alexandari, A., Dalal, K., Fropf, R., McAnany, C., Gagneur, J., Kundaje, A., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00782-6 · Cited by 610
Pseudouridylation of tRNA-Derived Fragments Steers Translational Control in Stem Cells
Guzzi, N., Cieśla, M., Ngoc, P. C. T., Lang, S., Arora, S., Dimitriou, M., Pimková, K., Sommarin, M. N. E., Munita, R., Lubas, M., et al. (2018) · Cell · doi:10.1016/j.cell.2018.03.008 · Cited by 518
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-citation
Metadata
- Authors
- Chan, P. P., & Lowe, T. M.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-12-15
- Volume
- 44
- Issue
- D1
- Pages
- D184-D189
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2223836536
- Cited by
- 1,051
- References
- 23
- FWCI
- 13.64
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: GtRNAdb 2.0: an expanded database of transfer RNA genes identified in complete and draft genomes. https://app.cochat.ai/papers/10.1093/nar/gkv1309
- The paper
- Chan, P. P., & Lowe, T. M. (2016). GtRNAdb 2.0: an expanded database of transfer RNA genes identified in complete and draft genomes. Nucleic Acids Research. https://doi.org/10.1093/nar/gkv1309
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.