Evidence map›Paper›PMID 39331699›Full record

ArticleMolecular biology and evolution2024

VirID: Beyond Virus Discovery-An Integrated Platform for Comprehensive RNA Virus Characterization.

Ziyue Yang, Yongtao Shan, Xue Liu, Guowei Chen, Yuanfei Pan, Qinyu Gou, Jie Zou, Zilong Chang, Qiang Zeng, Chunhui Yang and 10 more

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

20 authors.

Ziyue YangState Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.ORCID 0009-0003-7673-6735
Yongtao ShanState Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.ORCID 0009-0001-6457-4658
Xue LiuState Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.ORCID 0000-0001-9195-5408
Guowei ChenDepartment of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong (SAR), China.ORCID 0000-0002-1071-4993
Yuanfei PanMinistry of Education Key Laboratory of Biodiversity Science and Ecological Engineering, School of Life Sciences, Fudan University, Shanghai, China.ORCID 0000-0001-7450-9334
Qinyu GouState Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.ORCID 0000-0003-1311-2901
Jie ZouState Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.ORCID 0009-0002-5396-0331
Zilong ChangState Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.ORCID 0009-0000-6966-3724
Qiang ZengState Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.ORCID 0009-0000-3436-891X
Chunhui YangState Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.ORCID 0009-0008-1931-1067
Jianbin KongState Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.ORCID 0009-0005-1609-5459
Yanni SunDepartment of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong (SAR), China.ORCID 0000-0003-1373-8023
Shaochuan LiGoodwill Institute of Life Sciences, Guangzhou, China.ORCID 0009-0005-8867-5831
Xu ZhangGoodwill Institute of Life Sciences, Guangzhou, China.ORCID 0009-0001-0088-6097
Wei-Chen WuState Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.ORCID 0009-0005-8064-2023
Chunmei LiState Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.ORCID 0000-0002-4034-978X
Hong PengState Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.ORCID 0000-0003-0027-0855
Edward C HolmesSchool of Medical Sciences, The University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0001-9596-3552
Deyin GuoGuangzhou National Laboratory, Guangzhou International Bio-Island, Guangzhou, China.ORCID 0000-0002-8297-0814
Mang ShiState Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.ORCID 0000-0002-6154-4437

Funding

Fund of Shenzhen Key Laboratory ZDSYS20220606100803007Guangdong Province "Pearl River Talent Plan" Innovation, Entrepreneurship Team Project 2019ZT08Y464Hong Kong Innovation and Technology Fund (ITFInnovation and Technology Commission, Hong Kong Special Administrative Region, ChinaMajor Project of Guangzhou National Laboratory GZNL2023A01001National Natural Science Foundation of China 82341118Natural Science Foundation of Guangdong Province of China 2022A1515011854NHMRC (Australia) Investigator Award GNT2017197Shenzhen Science and Technology Program JCYJ20210324124414040
6 · The paper itself

Abstract

RNA viruses exhibit vast phylogenetic diversity and can significantly impact public health and agriculture. However, current bioinformatics tools for viral discovery from metagenomic data frequently generate false positive virus results, overestimate viral diversity, and misclassify virus sequences. Additionally, current tools often fail to determine virus-host associations, which hampers investigation of the potential threat posed by a newly detected virus. To address these issues we developed VirID, a software tool specifically designed for the discovery and characterization of RNA viruses from metagenomic data. The basis of VirID is a comprehensive RNA-dependent RNA polymerase database to enhance a workflow that includes RNA virus discovery, phylogenetic analysis, and phylogeny-based virus characterization. Benchmark tests on a simulated data set demonstrated that VirID had high accuracy in profiling viruses and estimating viral richness. In evaluations with real-world samples, VirID was able to identify RNA viruses of all types, but also provided accurate estimations of viral genetic diversity and virus classification, as well as comprehensive insights into virus associations with humans, animals, and plants. VirID therefore offers a robust tool for virus discovery and serves as a valuable resource in basic virological studies, pathogen surveillance, and early warning systems for infectious disease outbreaks.

Indexed as

MetagenomicsPhylogenyRNA VirusesSoftwareComputational BiologyHumansRNA-Dependent RNA PolymeraseRNA-Dependent RNA Polymeraseemerging pathogensphylogenetic analysisRNA virusviromevirus discovery

Identifiers

PMID39331699
PMCPMC11523140

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.