Evidence map›Paper›PMID 38822271›Full record

ArticleBMC genomics2024

vSNP: a SNP pipeline for the generation of transparent SNP matrices and phylogenetic trees from whole genome sequencing data sets.

Jessica Hicks, Tod Stuber, Kristina Lantz, Mia Torchetti, Suelee Robbe-Austerman

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  5. Clonal spread of Mycobacterium monacense strains among patients with extrapulmonary mycobacteriosis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  6. Article
  7. Article
  8. Complete genome sequence of aMicrobiology resource announcements · 2025
    Article
  9. Article
  10. Recovery ofOpen forum infectious diseases · 2025
    Article
  11. Article
  12. 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.

Jessica HicksNational Veterinary Services Laboratories (NVSL), USDA, 1920 Dayton Avenue, Ames, IA, 50010, USA.
Tod StuberNational Veterinary Services Laboratories (NVSL), USDA, 1920 Dayton Avenue, Ames, IA, 50010, USA. tod.p.stuber@usda.gov.
Kristina LantzNational Veterinary Services Laboratories (NVSL), USDA, 1920 Dayton Avenue, Ames, IA, 50010, USA.
Mia TorchettiNational Veterinary Services Laboratories (NVSL), USDA, 1920 Dayton Avenue, Ames, IA, 50010, USA.
Suelee Robbe-AustermanNational Veterinary Services Laboratories (NVSL), USDA, 1920 Dayton Avenue, Ames, IA, 50010, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral single nucleotide polymorphism (SNP) pipelines exist, each offering its own advantages. Among them and described here is vSNP that has been developed over the past decade and is specifically tailored to meet the needs of diagnostic laboratories. Laboratories that aim to provide rapid whole genome sequencing results during outbreak investigations face unique challenges. vSNP addresses these challenges by enabling users to verify and validate sequence accuracy with ease- having utility across various pathogens, being fully auditable, and presenting results that are easy to interpret and can be comprehended by individuals with diverse backgrounds.

resultsvSNP has proven effective for real-time phylogenetic analysis of disease outbreaks and eradication efforts, including bovine tuberculosis, brucellosis, virulent Newcastle disease, SARS-CoV-2, African swine fever, and highly pathogenic avian influenza. The pipeline produces easy-to-read SNP matrices, sorted for convenience, as well as corresponding phylogenetic trees, making the output easily understandable. Essential data for verifying SNPs is included in the output, and the process has been divided into two steps for ease of use and faster processing times. vSNP requires minimal computational resources to run and can be run in a wide range of environments. Several utilities have been developed to make analysis more accessible for subject matter experts who may not have computational expertise.

conclusionThe vSNP pipeline integrates seamlessly into a diagnostic workflow and meets the criteria for quality control accreditation programs, such as 17025 by the International Organization for Standardization. Its versatility and robustness make it suitable for use with a diverse range of organisms, providing detailed, reproducible, and transparent results, making it a valuable tool in various applications, including phylogenetic analysis performed in real time.

Indexed as

PhylogenyPolymorphism, Single NucleotideWhole Genome SequencingAnimalsComputational BiologyHumansSoftwareBioinformaticsSequencingSNPs

Identifiers

PMID38822271
PMCPMC11143592

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Registered trials

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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.