Ying LIU, Yongjun MA. Clinical applications of metagenomics next-generation sequencing in infectious diseases[J]. Journal of Zhejiang University Science B,in press.Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/jzus.B2300029
@article{title="Clinical applications of metagenomics next-generation sequencing in infectious diseases", author="Ying LIU, Yongjun MA", journal="Journal of Zhejiang University Science B", year="in press", publisher="Zhejiang University Press & Springer", doi="https://doi.org/10.1631/jzus.B2300029" }
%0 Journal Article %T Clinical applications of metagenomics next-generation sequencing in infectious diseases %A Ying LIU %A Yongjun MA %J Journal of Zhejiang University SCIENCE B %P %@ 1673-1581 %D in press %I Zhejiang University Press & Springer doi="https://doi.org/10.1631/jzus.B2300029"
TY - JOUR T1 - Clinical applications of metagenomics next-generation sequencing in infectious diseases A1 - Ying LIU A1 - Yongjun MA J0 - Journal of Zhejiang University Science B SP - EP - %@ 1673-1581 Y1 - in press PB - Zhejiang University Press & Springer ER - doi="https://doi.org/10.1631/jzus.B2300029"
Abstract: Infectious diseases are a great threat to human health. Rapid and accurate detection of pathogens is important in the diagnosis and treatment of infectious diseases. Metagenomics next-generation sequencing (mNGS) is an unbiased and comprehensive approach for detecting all RNA and DNA in a sample. With the development of sequencing and bioinformatics technologies, mNGS is moving from research to clinical application, which opens a new avenue for pathogen detection. Numerous studies have revealed good potential for the clinical application of mNGS in infectious diseases, especially in difficult-to-detect, rare, novel pathogens. However, there are several hurdles in the clinical application of mNGS, such as: 1) lack of universal workflow validation and quality assurance; 2) insensitivity to high host background and low-biomass samples; and 3) lack of standardized instructions for mass data analysis and report interpretation. Therefore, a complete understanding of this new technology will help promote the clinical application of mNGS to infectious diseases. This review briefly introduces the history of next-generation sequencing, mainstream sequencing platforms, and mNGS workflow, and discusses the clinical applications of mNGS to infectious diseases and its advantages and disadvantages.
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