Evidence map›Paper›PMID 26673694›Full record

ArticleNucleic acids research2016

GtRNAdb 2.0: an expanded database of transfer RNA genes identified in complete and draft genomes.

Patricia P Chan, Todd M Lowe

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 716 papers.

0numbers the graph read from it
0cells of the map it votes in
716citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

716 citing papers in PubMed.

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  7. Updated Transposable Element Libraries forbioRxiv : the preprint server for biology · 2026
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  11. eIF5A and polyamines restrict mRNA levels in response to ribosome stalls.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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656 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Patricia P ChanDepartment of Biomolecular Engineering, University of California Santa Cruz, CA 95064, USA.
Todd M LoweDepartment of Biomolecular Engineering, University of California Santa Cruz, CA 95064, USA lowe@soe.ucsc.edu.

Funding

A Unified Atlas of Dynamic tRNA FunctionR01HG006753 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI LOWE, TODD MICHAEL · 2012 to 2022
$4.6M
NHGRI NIH HHS HG006753-02
6 · The paper itself

Abstract

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/.

Indexed as

Databases, GeneticEpigenesis, GeneticGenesGenetic VariationGenomicsHumansRNA, TransferTranscription, GeneticRNA, Transfer

Identifiers

PMID26673694
PMCPMC4702915

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.