INTRODUCTION
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Figure legends
1. Takeuchi F, Sekizuka T, Yamashita A, et al. MePIC, metagenomic pathogen identification for clinical specimens. Jpn J Infect Dis 2014; 67:62-65.
2. Huson DH, Meier S, Flade I, et al. MEGAN community edition -intractive exploration and analysis of large-scale microbe sequencing data. PLoS Comut Biol 2016; 12:e1004957.
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4. Simner PJ, Miller HB, Breitwieser FP, et al. Development and Optimization of Metagenomic Next-Generation Sequencing Methods for Cerebrospinal Fluid Diagnostics. J Clin Microbiol 2018; 56:e00472-18.
5. Miller S, Naccache SN, Samayoa E, et al. Laboratory validation of a clinical metagenomic sequencing assay for pathogen detection in cerebrospinal fluid. Genome Res 2019; 29:831-842.
6. Zinter MS, Dvorak CC, Mayday MY, et al. Pulmonary Metagenomic Sequencing Suggests Missed Infections in Immunocompromised Children. Clin Infect Dis 2019; 68:1847-1855.
7. Takeuchi S, Kawada J, Horiba K, et al. Metagenomic analysis using next-generation sequencing of pathogens in bronchoalveolar lavage fluid from pediatric patients with respiratory failure. Sci Rep 2019; 9:12909.
8. Ren L, Zhang R, Rao J, et al. Transcriptionally active lung microbiome and its association with bacterial biomass and host inflammatory status. mSystems 2018; 3:e00199-18.
9. Miao Q, Ma Y, Wang Q, et al. Microbiological diagnostic performance of metagenomic next-generation sequencing when applied to clinical practice. Clin Infect Dis 2018; 67(S2):S231-S240.
10. Yang X, Li Y, Zhang C, et al. Clinical features and phylogenetic analysis of severe hand-foot-and-mouth disease caused by Coxsackievirus A6. Infect Genet Evol 2020; 77:104054.