Evidence map›Paper›PMID 30239879›Full record

ArticleNucleic acids research2019

Trips-Viz: a transcriptome browser for exploring Ribo-Seq data.

Stephen J Kiniry, Patrick B F O'Connor, Audrey M Michel, Pavel V Baranov

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 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Article
  3. RiboMicrobe: An Integrated Translatome Atlas for Microorganism.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  4. Article
  5. TheGenome research · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Functional Activity of Isoform 2 of Human eRF1.International journal of molecular sciences · 2024
    Article
  12. Article
  13. Article
  14. Small Open Reading Frame-Encoded Micro-Peptides: An Emerging Protein World.International journal of molecular sciences · 2023
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
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

4 authors.

Stephen J KinirySchool of Biochemistry and Cell Biology, University College Cork, Cork, Ireland.
Patrick B F O'ConnorSchool of Biochemistry and Cell Biology, University College Cork, Cork, Ireland.
Audrey M MichelSchool of Biochemistry and Cell Biology, University College Cork, Cork, Ireland.
Pavel V BaranovSchool of Biochemistry and Cell Biology, University College Cork, Cork, Ireland.

Funding

Wellcome Trust 210692/Z/18/Z
6 · The paper itself

Abstract

Ribosome profiling (Ribo-Seq) is a technique that allows for the isolation and sequencing of mRNA fragments protected from nuclease digestion by actively translating ribosomes. Mapping these ribosome footprints to a genome or transcriptome generates quantitative information on translated regions. To provide access to publicly available ribosome profiling data in the context of transcriptomes we developed Trips-Viz (transcriptome-wide information on protein synthesis-visualized). Trips-Viz provides a large range of graphical tools for exploring global properties of translatomes and of individual transcripts. It enables analysis of aligned footprints to evaluate datasets quality, differential gene expression detection, visual identification of upstream ORFs and alternative proteoforms. Trips-Viz is available at https://trips.ucc.ie.

Indexed as

Databases, GeneticGene ExpressionGenomeHumansProtein BiosynthesisRibosomesRNA, MessengerRNA-SeqSoftwareTranscriptomeWeb BrowserRNA, Messenger

Identifiers

PMID30239879
PMCPMC6324076

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.