Evidence map›Paper›PMID 41593771›Full record

ArticleGenome medicine2026

A bench-to-data analysis workflow for respiratory syncytial virus whole-genome sequencing with short and long-read approaches.

Adrián Gómez-Del Rosario, Adrián Muñoz-Barrera, Julia Alcoba-Florez, Diego García-Martínez de Artola, Nora Rodríguez-García, Jose Miguel Lorenzo-Salazar, Rafaela González-Montelongo, Carlos Flores, Laura Ciuffreda

Abstract read
In one paragraph

Article in Genome medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Adrián Gómez-Del Rosario *Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Instituto de Investigación Sanitaria de Canarias (IISC), Santa Cruz de Tenerife, Spain.
Adrián Muñoz-Barrera *Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain.
Julia Alcoba-FlorezMicrobiology Unit, Hospital Universitario Nuestra Señora de Candelaria, Instituto de Investigación Sanitaria de Canarias (IISC), Santa Cruz de Tenerife, Spain.
Diego García-Martínez de ArtolaMicrobiology Unit, Hospital Universitario Nuestra Señora de Candelaria, Instituto de Investigación Sanitaria de Canarias (IISC), Santa Cruz de Tenerife, Spain.
Nora Rodríguez-GarcíaGenomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain.
Jose Miguel Lorenzo-SalazarGenomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain.
Rafaela González-MontelongoGenomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain.
Carlos FloresResearch Unit, Hospital Universitario Nuestra Señora de Candelaria, Instituto de Investigación Sanitaria de Canarias (IISC), Santa Cruz de Tenerife, Spain. cflores@ull.edu.es.
Laura CiuffredaResearch Unit, Hospital Universitario Nuestra Señora de Candelaria, Instituto de Investigación Sanitaria de Canarias (IISC), Santa Cruz de Tenerife, Spain. lciuffreda.bio@gmail.com.

Funding

Cabildo Insular de Tenerife A0000014697Cabildo Insular de Tenerife CGIEU0000219140European Health and Digital Executive Agency 101113109-RELECOV 2.0Fundación Canaria Instituto de Investigación Sanitaria de Canarias EMER24/06Fundación Canaria Instituto de Investigación Sanitaria de Canarias PIFIISC21/37Fundación Canaria Instituto de Investigación Sanitaria de Canarias PROGRAMA INVESTIGO 2023Fundación DISA OA23/074Instituto de Salud Carlos III CD22/00138Instituto de Salud Carlos III PI20/00876Instituto Tecnológico y de Energías Renovables OA17/008
6 · The paper itself

Abstract

Genomic surveillance of respiratory syncytial virus (RSV) enables detecting and monitoring of circulating lineages and the emergence of amino acid substitutions affecting transmission, severity, and treatment. We present a comprehensive workflow for RSV whole-genome sequencing, from sample processing to lineage classification. Tiling amplicon protocols adapted for Illumina and Oxford Nanopore Technologies sequencing approaches and an in-house bioinformatic pipeline were developed for the analysis of samples. We validated the workflow on clinical samples, and identified RSV sequences harbouring substitutions associated with monoclonal antibody resistance and the presence of coinfections.

Indexed as

Genome, ViralRespiratory Syncytial Virus, HumanWhole Genome SequencingComputational BiologyData AnalysisHigh-Throughput Nucleotide SequencingHumansRespiratory Syncytial Virus InfectionsWorkflowGenomic surveillanceNanoporeRespiratory syncytial virusShort-read sequencing

Identifiers

PMID41593771
PMCPMC12837520

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.