Evidence map›Paper›PMID 39110520›Full record

ArticleBioinformatics (Oxford, England)2024

R2Dtool: integration and visualization of isoform-resolved RNA features.

Aditya J Sethi, Pablo Acera Mateos, Rippei Hayashi, Nikolay E Shirokikh, Eduardo Eyras

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. 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.

Aditya J SethiShine-Dalgarno Centre for RNA Innovation, John Curtin School of Medical Research, Australian National University, Canberra, Acton ACT 2601, Australia.
Pablo Acera MateosChildren's Cancer Institute, Lowy Cancer Centre, University of New South Wales, Sydney, Kensington NSW 2033, Australia.
Rippei HayashiShine-Dalgarno Centre for RNA Innovation, John Curtin School of Medical Research, Australian National University, Canberra, Acton ACT 2601, Australia.
Nikolay E ShirokikhShine-Dalgarno Centre for RNA Innovation, John Curtin School of Medical Research, Australian National University, Canberra, Acton ACT 2601, Australia.
Eduardo EyrasShine-Dalgarno Centre for RNA Innovation, John Curtin School of Medical Research, Australian National University, Canberra, Acton ACT 2601, Australia.ORCID 0000-0003-0793-6218

Funding

Australian Research Council DP210102385National Health and Medical Research Council GNT1175388Talo Computational Biology Accelerator Program
6 · The paper itself

Abstract

motivationLong-read RNA sequencing enables the mapping of RNA modifications, structures, and protein-interaction sites at the resolution of individual transcript isoforms. To understand the functions of these RNA features, it is critical to analyze them in the context of transcriptomic and genomic annotations, such as open reading frames and splice junctions.

resultsWe have developed R2Dtool, a bioinformatics tool that integrates transcript-mapped information with transcript and genome annotations, allowing for the isoform-resolved analytics and graphical representation of RNA features in their genomic context. We illustrate R2Dtool's capability to integrate and expedite RNA feature analysis using epitranscriptomics data. R2Dtool facilitates the comprehensive analysis and interpretation of alternative transcript isoforms. AVAILABILITY AND IMPLEMENTATION: R2Dtool is freely available under the MIT license at github.com/comprna/R2Dtool.

Indexed as

Sequence Analysis, RNASoftwareComputational BiologyHumansRNARNA IsoformsTranscriptomeRNARNA Isoforms

Identifiers

PMID39110520
PMCPMC11338438

What Socratic 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 Socratic graph.