Performance of Five Metagenomic Classifiers for Virus Pathogen Detection Using Respiratory Samples from a Clinical Cohort

Performance of Five Metagenomic Classifiers for Virus Pathogen Detection Using Respiratory Samples from a Clinical Cohort

Viral metagenomics is increasingly applied in clinical diagnostic settings for detection of pathogenic viruses. While several benchmarking studies have been published on the use of metagenomic classifiers for abundance and diversity profiling of bacterial populations, studies on the comparative perf...

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Bibliographic Details
Main Authors: Ellen C. Carbo, Igor A. Sidorov, Anneloes L. van Rijn-Klink, Nikos Pappas, Sander van Boheemen, Hailiang Mei, Pieter S. Hiemstra, Tomas M. Eagan, Eric C. J. Claas, Aloys C. M. Kroes, Jutte J. C. de Vries
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Pathogens
Subjects:
viral metagenomics
bioinformatics
pathogen detection
next-generation sequencing
Online Access:https://www.mdpi.com/2076-0817/11/3/340

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https://www.mdpi.com/2076-0817/11/3/340

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