Evidence map›Paper›PMID 38152981›Full record

ArticleBriefings in bioinformatics2023

SpliceWiz: interactive analysis and visualization of alternative splicing in R.

Alex C H Wong, Justin J-L Wong, John E J Rasko, Ulf Schmitz

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. DecodingbioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Control of 3' splice site selection by the yeast splicing factor Fyv6.bioRxiv : the preprint server for biology · 2024
    Article
  15. Article
  16. 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

4 authors.

Alex C H WongGene and Stem Cell Therapy Program, Centenary Institute, the University of Sydney, Camperdown, NSW 2050, Australia.ORCID 0000-0001-5704-2242
Justin J-L WongEpigenetics and RNA Biology Laboratory, School of Medical Sciences, Faculty of Medicine and Health, the University of Sydney, Camperdown, NSW 2050, Australia.ORCID 0000-0002-7038-5079
John E J RaskoGene and Stem Cell Therapy Program, Centenary Institute, the University of Sydney, Camperdown, NSW 2050, Australia.ORCID 0000-0003-2975-807X
Ulf SchmitzBiomedical Sciences and Molecular Biology, James Cook University, Townsville, QLD 4810, Australia.ORCID 0000-0001-5806-4662

Funding

Australian Government Research Training ProgramCancer Council NSW # RG20-12Cure the FutureNational Health and Medical Research Council #2010647Tropical Australian Academic Health Centre # SF0000321
6 · The paper itself

Abstract

Alternative splicing (AS) is a crucial mechanism for regulating gene expression and isoform diversity in eukaryotes. However, the analysis and visualization of AS events from RNA sequencing data remains challenging. Most tools require a certain level of computer literacy and the available means of visualizing AS events, such as coverage and sashimi plots, have limitations and can be misleading. To address these issues, we present SpliceWiz, an R package with an interactive Shiny interface that allows easy and efficient AS analysis and visualization at scale. A novel normalization algorithm is implemented to aggregate splicing levels within sample groups, thereby allowing group differences in splicing levels to be accurately visualized. The tool also offers downstream gene ontology enrichment analysis, highlighting ASEs belonging to functional pathways of interest. SpliceWiz is optimized for speed and efficiency and introduces a new file format for coverage data storage that is more efficient than BigWig. Alignment files are processed orders of magnitude faster than other R-based AS analysis tools and on par with command-line tools. Overall, SpliceWiz streamlines AS analysis, enabling reliable identification of functionally relevant AS events for further characterization. SpliceWiz is a Bioconductor package and is also available on GitHub (https://github.com/alexchwong/SpliceWiz).

Indexed as

Alternative SplicingSoftwareAlgorithmsRNA SplicingSequence Analysis, RNAdata visualizationdifferential splicingexon usagegene isoformsintron retentionread coverage

Identifiers

PMID38152981
PMCPMC10753292

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.