Evidence map›Paper›PMID 33522966›Full record

ArticleMicrobiome2021

VirSorter2: a multi-classifier, expert-guided approach to detect diverse DNA and RNA viruses.

Jiarong Guo, Ben Bolduc, Ahmed A Zayed, Arvind Varsani, Guillermo Dominguez-Huerta, Tom O Delmont, Akbar Adjie Pratama, M Consuelo Gazitúa, Dean Vik, Matthew B Sullivan and 1 more

Abstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 770 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
770citing papers in PubMed, 1 pooled it
–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

770 citing papers in PubMed, 1 synthesis or guideline pooled it.

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710 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

11 authors.

Jiarong GuoDepartment of Microbiology, Ohio State University, Columbus, OH, 43210, USA.
Ben BolducDepartment of Microbiology, Ohio State University, Columbus, OH, 43210, USA.
Ahmed A ZayedDepartment of Microbiology, Ohio State University, Columbus, OH, 43210, USA.
Arvind VarsaniThe Biodesign Center for Fundamental and Applied Microbiomics, Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, 85287, USA.
Guillermo Dominguez-HuertaDepartment of Microbiology, Ohio State University, Columbus, OH, 43210, USA.
Tom O DelmontGénomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 91057, Evry, France.
Akbar Adjie PratamaDepartment of Microbiology, Ohio State University, Columbus, OH, 43210, USA.
M Consuelo GazitúaViromica, 7870582, Santiago, Chile.
Dean VikDepartment of Microbiology, Ohio State University, Columbus, OH, 43210, USA.
Matthew B SullivanDepartment of Microbiology, Ohio State University, Columbus, OH, 43210, USA. sullivan.948@osu.edu.ORCID 0000-0001-8398-8234
Simon RouxDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. sroux@lbl.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundViruses are a significant player in many biosphere and human ecosystems, but most signals remain "hidden" in metagenomic/metatranscriptomic sequence datasets due to the lack of universal gene markers, database representatives, and insufficiently advanced identification tools.

resultsHere, we introduce VirSorter2, a DNA and RNA virus identification tool that leverages genome-informed database advances across a collection of customized automatic classifiers to improve the accuracy and range of virus sequence detection. When benchmarked against genomes from both isolated and uncultivated viruses, VirSorter2 uniquely performed consistently with high accuracy (F1-score > 0.8) across viral diversity, while all other tools under-detected viruses outside of the group most represented in reference databases (i.e., those in the order Caudovirales). Among the tools evaluated, VirSorter2 was also uniquely able to minimize errors associated with atypical cellular sequences including eukaryotic genomes and plasmids. Finally, as the virosphere exploration unravels novel viral sequences, VirSorter2's modular design makes it inherently able to expand to new types of viruses via the design of new classifiers to maintain maximal sensitivity and specificity.

conclusionWith multi-classifier and modular design, VirSorter2 demonstrates higher overall accuracy across major viral groups and will advance our knowledge of virus evolution, diversity, and virus-microbe interaction in various ecosystems. Source code of VirSorter2 is freely available ( https://bitbucket.org/MAVERICLab/virsorter2 ), and VirSorter2 is also available both on bioconda and as an iVirus app on CyVerse ( https://de.cyverse.org/de ). Video abstract.

Indexed as

MetagenomicsSoftwareDNA VirusesEcosystemGenome, ViralHumansRNA Viruses

Identifiers

PMID33522966
PMCPMC7852108

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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.