ArticleNature communications2018
Maximal viral information recovery from sequence data using VirMAP.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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.
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.
Who cites it
40 citing papers in PubMed.
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- Evolutionary dynamics of Respiratory Syncytial Virus in pre-pandemic, pandemic, and post-pandemic periods in Houston, Texas, USA.bioRxiv : the preprint server for biology · 2026Article
- Overcoming host restrictions to enable continuous passaging of GII.3 human norovirus in human intestinal enteroids.Science advances · 2026Article
- Complete genomic characterization of global pathogens respiratory syntical virus and human norovirus using probe based capture enrichment.Scientific reports · 2025Article
- VITALdb: to select the best viroinformatics tools for a desired virus or application.Briefings in bioinformatics · 2025Article
- Gut phageome in Mexican Americans: a population at high risk for metabolic dysfunction-associated steatotic liver disease and diabetes.mSystems · 2024Article
- INTRA- AND INTER-HOST EVOLUTION OF HUMAN NOROVIRUS IN HEALTHY ADULTS.bioRxiv : the preprint server for biology · 2024Article
- Examining intra-host genetic variation of RSV by short read high-throughput sequencing.bioRxiv : the preprint server for biology · 2024Article
- Unveiling microbial diversity: harnessing long-read sequencing technology.Nature methods · 2024Review
- ViromeFlowX: a Comprehensive Nextflow-based Automated Workflow for Mining Viral Genomes from Metagenomic Sequencing Data.Microbial genomics · 2024Article
- Alterations in gut virome are associated with cognitive function and minimal hepatic encephalopathy cross-sectionally and longitudinally in cirrhosis.Gut microbes · 2023Article
- Benchmarking of virome metagenomic analysis approaches using a large, 60+ members, viral synthetic community.Journal of virology · 2023Article
- VIGA: a one-stop tool for eukaryotic virus identification and genome assembly from next-generation-sequencing data.Briefings in bioinformatics · 2023Article
- Tumor-resident Lactobacillus iners confer chemoradiation resistance through lactate-induced metabolic rewiring.Cancer cell · 2023Article
- Novel PutativeViruses · 2023Article
- Phylogenomic analysis uncovers a 9-year variation of Uganda influenza type-A strains from the WHO-recommended vaccines and other Africa strains.Scientific reports · 2023Article
- Monitoring and Modulating Diet and Gut Microbes to Enhance Response and Reduce Toxicity to Cancer Treatment.Cancers · 2023Review
- Viral Metagenomics as a Tool to Track Sources of Fecal Contamination: A One Health Approach.Viruses · 2023Review
- Strain-specific impacts of probiotics are a significant driver of gut microbiome development in very preterm infants.Nature microbiology · 2022Article
- Revolutionized virome research using systems microbiology approaches.Experimental biology and medicine (Maywood, N.J.) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accurate classification of the human virome is critical to a full understanding of the role viruses play in health and disease. This implies the need for sensitive, specific, and practical pipelines that return precise outputs while still enabling case-specific post hoc analysis. Viral taxonomic characterization from metagenomic data suffers from high background noise and signal crosstalk that confounds current methods. Here we develop VirMAP that overcomes these limitations using techniques that merge nucleotide and protein information to taxonomically classify viral reconstructions independent of genome coverage or read overlap. We validate VirMAP using published data sets and viral mock communities containing RNA and DNA viruses and bacteriophages. VirMAP offers opportunities to enhance metagenomic studies seeking to define virome-host interactions, improve biosurveillance capabilities, and strengthen molecular epidemiology reporting.
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Registered trials
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.