Evidence map›Paper›PMID 26932765›Full record

ArticleBMC genomics2016

ViromeScan: a new tool for metagenomic viral community profiling.

Simone Rampelli, Matteo Soverini, Silvia Turroni, Sara Quercia, Elena Biagi, Patrizia Brigidi, Marco Candela

Abstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

71 citing papers in PubMed.

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  15. Review
  16. Agnostic Sequencing for Detection of Viral Pathogens.Clinical microbiology reviews · 2023
    Review
  17. Article
  18. Assembly and Annotation of Viral Metagenomes from Short-Read Sequencing Data.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  19. Article
  20. Article

11 more citing papers are in PubMed but not listed here.

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

7 authors.

Simone RampelliDepartment of Pharmacy and Biotechnology, University of Bologna, Via Belmeloro 6, Bologna, 40126, Italy. simone.rampelli@unibo.it.
Matteo SoveriniDepartment of Pharmacy and Biotechnology, University of Bologna, Via Belmeloro 6, Bologna, 40126, Italy. matteo.soverini3@studio.unibo.it.
Silvia TurroniDepartment of Pharmacy and Biotechnology, University of Bologna, Via Belmeloro 6, Bologna, 40126, Italy. silvia.turroni@unibo.it.
Sara QuerciaDepartment of Pharmacy and Biotechnology, University of Bologna, Via Belmeloro 6, Bologna, 40126, Italy. sara.quercia3@unibo.it.
Elena BiagiDepartment of Pharmacy and Biotechnology, University of Bologna, Via Belmeloro 6, Bologna, 40126, Italy. elena.biagi@unibo.it.
Patrizia BrigidiDepartment of Pharmacy and Biotechnology, University of Bologna, Via Belmeloro 6, Bologna, 40126, Italy. patrizia.brigidi@unibo.it.
Marco CandelaDepartment of Pharmacy and Biotechnology, University of Bologna, Via Belmeloro 6, Bologna, 40126, Italy. marco.candela@unibo.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBioinformatics tools available for metagenomic sequencing analysis are principally devoted to the identification of microorganisms populating an ecological niche, but they usually do not consider viruses. Only some software have been designed to profile the viral sequences, however they are not efficient in the characterization of viruses in the context of complex communities, like the intestinal microbiota, containing bacteria, archeabacteria, eukaryotic microorganisms and viruses. In any case, a comprehensive description of the host-microbiota interactions can not ignore the profile of eukaryotic viruses within the virome, as viruses are definitely critical for the regulation of the host immunophenotype.

resultsViromeScan is an innovative metagenomic analysis tool that characterizes the taxonomy of the virome directly from raw data of next-generation sequencing. The tool uses hierarchical databases for eukaryotic viruses to unambiguously assign reads to viral species more accurately and >1000 fold faster than other existing approaches. We validated ViromeScan on synthetic microbial communities and applied it on metagenomic samples of the Human Microbiome Project, providing a sensitive eukaryotic virome profiling of different human body sites.

conclusionsViromeScan allows the user to explore and taxonomically characterize the virome from metagenomic reads, efficiently denoising samples from reads of other microorganisms. This implies that users can fully characterize the microbiome, including bacteria and viruses, by shotgun metagenomic sequencing followed by different bioinformatic pipelines.

Indexed as

Genome, ViralMicrobiotaSoftwareComputational BiologyDNA, ViralHigh-Throughput Nucleotide SequencingHumansMetagenomicsRNA, ViralSequence Analysis, DNAVirusesDNA, ViralRNA, Viral

Identifiers

PMID26932765
PMCPMC4774116

What OpenQuestion holds

Textmetadata
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.