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Updated: Jul 31, 2025

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples
Published on: July 2, 2016
Current trends in RNA virus detection through metatranscriptome sequencing data
So Nakagawa1,2,3,4, Shoichi Sakaguchi5, Atsushi Ogura6
1Department of Molecular Life Science, Tokai University School of Medicine, Kanagawa, Japan.
Abstract:
With advances in sequencing technology, metatranscriptome sequencing from a variety of environmental and biological sources has revealed the existence of various previously unknown RNA viruses. This review presents recent major RNA virome studies sampled from invertebrate and vertebrate species as well as aquatic environments. In particular, we focus on severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and related RNA virus identification through metatranscriptome sequencing analyses. Recently developed bioinformatics software and databases for RNA virus identification are introduced. A relationship between newly identified RNA viruses and endogenous viral elements in host genomes is also discussed.
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