Evidence map›Paper›PMID 31127306›Full record

ArticleNucleic acids research2019

tRNAviz: explore and visualize tRNA sequence features.

Brian Y Lin, Patricia P Chan, Todd M Lowe

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  7. Automated orthogonal tRNA generation.Nature chemical biology · 2025
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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

3 authors.

Brian Y LinDepartment of Biomolecular Engineering, University of California Santa Cruz, CA 95064, USA.
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.

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 R01 HG006753
6 · The paper itself

Abstract

Transfer RNAs (tRNAs) are ubiquitous across the tree of life. Although tRNA structure is highly conserved, there is still significant variation in sequence features between clades, isotypes and even isodecoders. This variation not only impacts translation, but as shown by a variety of recent studies, nontranslation-associated functions are also sensitive to small changes in tRNA sequence. Despite the rapidly growing number of sequenced genomes, there is a lack of tools for both small- and large-scale comparative genomics analysis of tRNA sequence features. Here, we have integrated over 150 000 tRNAs spanning all domains of life into tRNAviz, a web application for exploring and visualizing tRNA sequence features. tRNAviz implements a framework for determining consensus sequence features and can generate sequence feature distributions by isotypes, clades and anticodons, among other tRNA properties such as score. All visualizations are interactive and exportable. The web server is publicly available at http://trna.ucsc.edu/tRNAviz/.

Indexed as

SoftwareBase SequenceComputer GraphicsConsensus SequenceRNA, ArchaealRNA, BacterialRNA, TransferSequence Analysis, RNARNA, ArchaealRNA, BacterialRNA, Transfer

Identifiers

PMID31127306
PMCPMC6602477

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.