Evidence map›Paper›PMID 28977460›Full record

ArticleNucleic acids research2018

GWIPS-viz: 2018 update.

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

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Functional analysis ofMolecular therapy. Nucleic acids · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Targeted BDNF upregulation via upstream open reading frame disruption.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Article
  6. A recently evolved TAF8 isoform arising from anbioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Review
  9. TheGenome research · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

5 authors.

Audrey M MichelSchool of Biochemistry and Cell Biology, University College Cork, Cork, Ireland.
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.
James P MullanSchool of Biochemistry and Cell Biology, University College Cork, Cork, Ireland.
Pavel V BaranovSchool of Biochemistry and Cell Biology, University College Cork, Cork, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The GWIPS-viz browser (http://gwips.ucc.ie/) is an on-line genome browser which is tailored for exploring ribosome profiling (Ribo-seq) data. Since its publication in 2014, GWIPS-viz provides Ribo-seq data for an additional 14 genomes bringing the current total to 23. The integration of new Ribo-seq data has been automated thereby increasing the number of available tracks to 1792, a 10-fold increase in the last three years. The increase is particularly substantial for data derived from human sources. Following user requests, we added the functionality to download these tracks in bigWig format. We also incorporated new types of data (e.g. TCP-seq) as well as auxiliary tracks from other sources that help with the interpretation of Ribo-seq data. Improvements in the visualization of the data have been carried out particularly for bacterial genomes where the Ribo-seq data are now shown in a strand specific manner. For higher eukaryotic datasets, we provide characteristics of individual datasets using the RUST program which includes the triplet periodicity, sequencing biases and relative inferred A-site dwell times. This information can be used for assessing the quality of Ribo-seq datasets. To improve the power of the signal, we aggregate Ribo-seq data from several studies into Global aggregate tracks for each genome.

Indexed as

High-Throughput Nucleotide SequencingRibosomesSequence Analysis, RNAWeb BrowserData DisplayDatasets as TopicEukaryotaGenomeHumansRNA, MessengerUser-Computer InterfaceRNA, Messenger

Identifiers

PMID28977460
PMCPMC5753223

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.