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VITAP:一种基于宏组学数据的用于DNA和RNA病毒分类的高精度工具。

VITAP: a high precision tool for DNA and RNA viral classification based on meta-omic data.

作者信息

Zheng Kaiyang, Sun Jianhua, Liang Yantao, Kong Liangliang, Paez-Espino David, Mcminn Andrew, Wang Min

机构信息

College of Marine Life Sciences, Ocean University of China, Qingdao, China.

Haide College, Ocean University of China, Qingdao, China.

出版信息

Nat Commun. 2025 Mar 5;16(1):2226. doi: 10.1038/s41467-025-57500-7.

Abstract

The rapid growth in the number of newly identified DNA and RNA viral sequences underscores the need for an accurate and comprehensive classification system for all viral realms at different taxonomic levels. Here, we establish the Viral Taxonomic Assignment Pipeline (VITAP), which addresses classification challenges by integrating alignment-based techniques with graphs, offering high precision in classifying both DNA and RNA viral sequences and providing confidence level for each taxonomic unit. This tool automatically updates its database in sync with the latest references from the International Committee on Taxonomy of Viruses (ICTV), efficiently classifying viral sequences as short as 1,000 base pairs to genus level. VITAP possesses good generalization capabilities, maintaining accuracy comparable to other pipelines while achieving higher annotation rates across most DNA and RNA viral phyla. Its application in deep-sea viromes has led to significant taxonomic updates, providing comprehensive diversity information of viruses from deep-sea. VITAP is available at https://github.com/DrKaiyangZheng/VITAP .

摘要

新鉴定出的DNA和RNA病毒序列数量迅速增长,这凸显了在不同分类水平上为所有病毒领域建立准确、全面分类系统的必要性。在此,我们建立了病毒分类分配管道(VITAP),该管道通过将基于比对的技术与图形相结合来应对分类挑战,在对DNA和RNA病毒序列进行分类时具有高精度,并为每个分类单元提供置信水平。此工具会与国际病毒分类委员会(ICTV)的最新参考文献同步自动更新其数据库,能高效地将短至1000个碱基对的病毒序列分类到属水平。VITAP具有良好的泛化能力,在保持与其他管道相当准确性的同时,在大多数DNA和RNA病毒门类中实现了更高的注释率。它在深海病毒群落中的应用带来了重大的分类更新,提供了来自深海病毒的全面多样性信息。VITAP可在https://github.com/DrKaiyangZheng/VITAP获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a59/11883027/d7d8cfe6676a/41467_2025_57500_Fig1_HTML.jpg

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