Unbiased parallel detection of viral pathogens in clinical samples by use of a metagenomic approach.

ABSTRACT: Viral infectious diseases represent a major threat to public health and are among the greatest disease burdens worldwide. Rapid and accurate identification of viral agents is crucial for both outbreak control and estimating regional disease burdens. Recently developed metagenomic methods have proven to be powerful tools for simultaneous pathogen detection. Here, we performed a systematic study of the capability of the short-read-based metagenomic approach in the molecular detection of viral pathogens in nasopharyngeal aspirate samples from patients with acute lower respiratory tract infections (n = 16). Using the high-throughput capacity of ultradeep sequencing and a dedicated data interpretation method, we successfully identified seven species of known respiratory viral agents from 15 sam

SUBMITTER: Yang J 

PROVIDER: S-EPMC3187305 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature