Evidence map›Paper›PMID 39137137›Full record

ArticleBioinformatics (Oxford, England)2024

Publication-ready single nucleotide polymorphism visualization with snipit.

Áine O'Toole, Ammar Aziz, Daniel Maloney

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 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
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  5. Molecular surveillance of Bordetella pertussis during the 2024 outbreak in Southeast Brazil: allelic profiles and comparison to vaccine strain.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. A Pandemic-Scale Ancestral Recombination Graph for SARS-CoV-2.bioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. NGS-based approach for diagnostically unidentifiedFrontiers in cellular and infection microbiology · 2025
    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

3 authors.

Áine O'TooleInstitute of Ecology and Evolution, University of Edinburgh, Edinburgh, EH93FL, United Kingdom.ORCID 0000-0001-8083-474X
Ammar AzizVictorian Infectious Diseases Reference Laboratory, The Royal Melbourne Hospital, Parkville, Victoria, VIC 3052, Australia.
Daniel MaloneyInstitute of Ecology and Evolution, University of Edinburgh, Edinburgh, EH93FL, United Kingdom.

Funding

Wellcome Trust 206298/Z/17/ZWellcome Trust Hosts, Pathogens & Global Health Programme 203783/Z/16/Z
6 · The paper itself

Abstract

summarySnipit is an analysis and visualization tool designed for summarizing single nucleotide polymorphisms in sequences in comparison to a reference sequence. This tool efficiently catalogues nucleotide and amino acid differences, enabling clear comparisons through customizable, publication-ready figures. With features such as configurable colour palettes, customizable record sorting, and the ability to output figures in multiple formats, snipit offers a user-friendly interface for researchers across diverse disciplines. In addition, snipit includes a specialized recombi-mode for illustrating recombination patterns, which can highlight otherwise often difficult-to-detect relationships between sequences. AVAILABILITY AND IMPLEMENTATION: Snipit is an open-source python-based tool that is hosted on GitHub under a GNU-GPL 3.0 licence (https://github.com/aineniamh/snipit). It can be installed from PyPi using pip. Source code and additional documentation can be found on the GitHub repository.

Indexed as

Polymorphism, Single NucleotideSoftwareUser-Computer Interface

Identifiers

PMID39137137
PMCPMC11349183

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.