Assessing Next-Generation Sequencing and 4 Bioinformatics Tools for Detection of Enterovirus D68 and Other Respiratory Viruses in Clinical Samples

Authors

Weihua Huang, Department of Pathology, New York Medical College, Valhalla, NY, USA. Electronic address: weihua_huang@nymc.edu.
Guiqing Wang, Department of Pathology, New York Medical College, Valhalla, NY, USA; Department of Pathology and Clinical Laboratories, Westchester Medical Center, Valhalla, NY, USA.
Henry Lin, Philips Research North America, Briarcliff Manor, NY, USA.
Jian Zhuge, Department of Pathology and Clinical Laboratories, Westchester Medical Center, Valhalla, NY, USA.
Sheila M. Nolan, Division of Pediatric Infectious Disease, New York Medical College, Valhalla, NY, USA.
Eric Vail, Department of Pathology and Clinical Laboratories, Westchester Medical Center, Valhalla, NY, USA.
Nevenka Dimitrova, Philips Research North America, Briarcliff Manor, NY, USA.
John T. Fallon, Department of Pathology, New York Medical College, Valhalla, NY, USA; Department of Pathology and Clinical Laboratories, Westchester Medical Center, Valhalla, NY, USA.

Author Type(s)

Faculty

DOI

10.1016/j.diagmicrobio.2016.01.013

Journal Title

Diagnostic Microbiology and Infectious Disease

First Page

26

Last Page

9

Document Type

Article

Publication Date

5-1-2016

Abstract

We used 4 different bioinformatics algorithms to evaluate the application of a metagenomic shot-gun sequencing method in detection of Enterovirus D68 and other respiratory viruses in clinical specimens. Our data supported that next-generation sequencing, combined with improved bioinformatics tools, is practically feasible and useful for clinical diagnosis of viral infections.

Recommended Citation

Huang, W., Wang, G., Lin, H., Zhuge, J., Nolan, S. M., Vail, E., Dimitrova, N., & Fallon, J. T. (2016). Assessing Next-Generation Sequencing and 4 Bioinformatics Tools for Detection of Enterovirus D68 and Other Respiratory Viruses in Clinical Samples. Diagnostic Microbiology and Infectious Disease, 85 (1), 26-9. https://doi.org/10.1016/j.diagmicrobio.2016.01.013