Background Filtering of Clinical Metagenomic Sequencing with a Library Concentration-Normalized Model

Background Filtering of Clinical Metagenomic Sequencing with a Library Concentration-Normalized Model

ABSTRACT Metagenomic next-generation sequencing (mNGS) can accurately detect pathogens in clinical samples. However, wet-lab contamination constrains mNGS analysis and may result in erroneous interpretation of results. Many existing methods rely on large-scale observational microbiome studies and ma...

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Bibliographic Details
Main Authors: Juan Du, Jingjia Zhang, Dong Zhang, Yiwen Zhou, Pengfei Wu, Wenchao Ding, Jun Wang, Chuan Ouyang, Qiwen Yang
Format: Article
Language:English
Published: American Society for Microbiology 2022-10-01
Series:Microbiology Spectrum
Subjects:
metagenomic sequencing
background filtering
premodeling
linear regression
clinical settings
Online Access:https://journals.asm.org/doi/10.1128/spectrum.01779-22

Internet

https://journals.asm.org/doi/10.1128/spectrum.01779-22

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