Evidence map›Paper›PMID 40076803›Full record

SynthesisInternational journal of molecular sciences2025

Systematic Review of Phylogenetic Analysis Techniques for RNA Viruses Using Bioinformatics.

Irena Wadas, Inês Domingues

Abstract readSystematic Review
In one paragraph

Synthesis in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. CRISPR-Cas9 and Its Bioinformatics Tools: A Systematic Review.Current issues in molecular biology · 2025
    Review
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

2 authors.

Irena WadasPolytechnic University of Coimbra, Rua da Misericórdia, Lagar dos Cortiços, S. Martinho do Bispo, 3045-093 Coimbra, Portugal.
Inês DominguesPolytechnic University of Coimbra, Rua da Misericórdia, Lagar dos Cortiços, S. Martinho do Bispo, 3045-093 Coimbra, Portugal.ORCID 0000-0002-2334-7280

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present paper addresses topics from various fields of biology. Its purpose is to enlarge the understanding of the usage of bioinformatics tools in the phylogenetic analysis of RNA viruses. The paper highlights the benefits of using information technology in virology, bringing the scientific community closer to unraveling the mysteries of RNA virus evolution and their adaptation to different niches and hosts and facilitating the understanding of their rapid mutation processes. Phylogenetic analysis of genetic sequences allows the exploration of the causes of these genetic changes in viruses and categorizes them into taxonomic groups. This paper is a systematic review of the most important scientific articles on the phylogenetic analysis of RNA viruses using bioinformatics. The studies included in the review were selected based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) guidelines and discuss methods for analyzing genetic and protein sequences (including codon sequences) and describe phylogenetic analyses and the bioinformatics tools used (such as VConTACT, RAxML, etc.). This review emphasizes the importance of further development in the fields of bioinformatics and virology, particularly with respect to RNA viruses, in order to mitigate the risk of a future pandemic. It also aims to provide a detailed understanding of the mutation and evolution mechanisms of these entities, which will help in efforts to limit viral virulence, for example. This article did not receive any funding for its creation and has not been registered in any database.

Indexed as

Computational BiologyPhylogenyRNA VirusesEvolution, MolecularGenome, ViralHumansbioinformaticsphylogenetic analysisRNA viruses

Identifiers

PMID40076803
PMCPMC11900569

What OpenQuestion holds

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LicenceCC BY
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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.